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+ + + + + + + + + + \ No newline at end of file diff --git a/1.0.0/advanced/custom_search/custom_search.md b/1.0.0/advanced/custom_search/custom_search.md new file mode 100644 index 00000000..675b9d07 --- /dev/null +++ b/1.0.0/advanced/custom_search/custom_search.md @@ -0,0 +1,97 @@ +Even though `TiTiler.PgSTAC` includes default FastAPI application, +it also can be used like a library if you want to extend or +override default behavior. + +Let's look at one such example. Imagine that we use JSON Web Token (JWT) +based approach for authorization and every token contains information +about area a user has access to: + +```json +{ + "sub": "1234567890", + "name": "John Doe", + "iat": 1516239022, + "scope": "zone_A" +} +``` + +We want our application to take this information into account while +registering a search query. It can be done in the following way: + +```python +from contextlib import asynccontextmanager + +from typing import Tuple +import json +import jwt +from fastapi import FastAPI +from fastapi.security.utils import get_authorization_scheme_param +from starlette.requests import Request +from titiler.pgstac.factory import MosaicTilerFactory, add_search_register_route +from titiler.pgstac.model import RegisterMosaic, Metadata, PgSTACSearch +from titiler.pgstac.db import close_db_connection, connect_to_db +from titiler.pgstac.extensions import searchInfoExtension + + +@asynccontextmanager +async def lifespan(app: FastAPI): + """FastAPI Lifespan.""" + # Create Connection Pool + await connect_to_db(app, settings=postgres_settings) + yield + # Close the Connection Pool + await close_db_connection(app) + +app = FastAPI(lifespan=lifespan) + +AREAS = { + "zone_A": {"type": "Point", "coordinates": [-41.93, -12.76]}, + "zone_B": {"type": "Point", "coordinates": [2.15, 41.39]}, +} + + +def search_factory(request: Request, body: RegisterMosaic) -> Tuple[PgSTACSearch, Metadata]: + authorization = request.headers.get("Authorization") + scheme, token = get_authorization_scheme_param(authorization) + payload = jwt.decode(token, algorithms=["HS256"], key="your-256-bit-secret") + + search = body.dict(exclude_none=True, exclude={"metadata"}, by_alias=True) + search["filter"] = { + "op": "and", + "args": [ + { + "op": "s_intersects", + "args": [{"property": "geometry"}, AREAS[payload["scope"]]], + }, + search["filter"], + ], + } + + return model.PgSTACSearch(**search), body.metadata + + +mosaic = MosaicTilerFactory( + extensions=[ + searchInfoExtension + ] +) +app.include_router(mosaic.router) +add_search_register_route(app, search_dependency=search_factory) +``` + +Checking: + +```bash +$ curl -s -X 'POST' \ + 'http://localhost:8081/register' \ + -H 'accept: application/json' \ + -H 'Authorization: Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiIxMjM0NTY3ODkwIiwibmFtZSI6IkpvaG4gRG9lIiwiaWF0IjoxNTE2MjM5MDIyLCJzY29wZSI6InpvbmVfQSJ9.BelzluX7v7kYObix2KSyy1T5gEOQYQn_pyNO5Ri0gWo' \ + -H 'Content-Type: application/json' \ + -d '{"filter":{"op":"and","args":[{"op":"=","args":[{"property":"collection"},"l1"]}]}}' | jq '.id' +"bbc3c8f4c392436f74de6cd0308469f6" + +$ curl -X 'GET' \ + 'http://localhost:8081/bbc3c8f4c392436f74de6cd0308469f6/info' \ + -H 'accept: application/json' +{"hash":"bbc3c8f4c392436f74de6cd0308469f6","search":{"filter":{"op":"and","args":[{"op":"s_intersects","args":[{"property":"geometry"},{"type":"Point","coordinates":[-41.93,-12.76]}]},{"op":"and","args":[{"op":"=","args":[{"property":"collection"},"l1"]}]}]}},"_where":"( ( st_intersects(geometry, '0101000020E6100000D7A3703D0AF744C085EB51B81E8529C0'::geometry) and ( (collection_id = 'l1') ) ) ) ","orderby":"datetime DESC, id DESC","lastused":"2022-02-23T13:00:04.090757+00:00","usecount":3,"metadata":{"type":"mosaic"}} +``` diff --git a/1.0.0/advanced/custom_search/index.html b/1.0.0/advanced/custom_search/index.html new file mode 100644 index 00000000..ad4f54b2 --- /dev/null +++ b/1.0.0/advanced/custom_search/index.html @@ -0,0 +1,1056 @@ + + + + + + + + + + + + + + + + + + + + Custom search model - TiTiler.PgSTAC + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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Custom search model

+ +

Even though TiTiler.PgSTAC includes default FastAPI application, +it also can be used like a library if you want to extend or +override default behavior.

+

Let's look at one such example. Imagine that we use JSON Web Token (JWT) +based approach for authorization and every token contains information +about area a user has access to:

+
{
+  "sub": "1234567890",
+  "name": "John Doe",
+  "iat": 1516239022,
+  "scope": "zone_A"
+}
+
+

We want our application to take this information into account while +registering a search query. It can be done in the following way:

+
from contextlib import asynccontextmanager
+
+from typing import Tuple
+import json
+import jwt
+from fastapi import FastAPI
+from fastapi.security.utils import get_authorization_scheme_param
+from starlette.requests import Request
+from titiler.pgstac.factory import MosaicTilerFactory, add_search_register_route
+from titiler.pgstac.model import RegisterMosaic, Metadata, PgSTACSearch
+from titiler.pgstac.db import close_db_connection, connect_to_db
+from titiler.pgstac.extensions import searchInfoExtension
+
+
+@asynccontextmanager
+async def lifespan(app: FastAPI):
+    """FastAPI Lifespan."""
+    # Create Connection Pool
+    await connect_to_db(app, settings=postgres_settings)
+    yield
+    # Close the Connection Pool
+    await close_db_connection(app)
+
+app = FastAPI(lifespan=lifespan)
+
+AREAS = {
+    "zone_A": {"type": "Point", "coordinates": [-41.93, -12.76]},
+    "zone_B": {"type": "Point", "coordinates": [2.15, 41.39]},
+}
+
+
+def search_factory(request: Request, body: RegisterMosaic) -> Tuple[PgSTACSearch, Metadata]:
+    authorization = request.headers.get("Authorization")
+    scheme, token = get_authorization_scheme_param(authorization)
+    payload = jwt.decode(token, algorithms=["HS256"], key="your-256-bit-secret")
+
+    search = body.dict(exclude_none=True, exclude={"metadata"}, by_alias=True)
+    search["filter"] = {
+        "op": "and",
+        "args": [
+            {
+                "op": "s_intersects",
+                "args": [{"property": "geometry"}, AREAS[payload["scope"]]],
+            },
+            search["filter"],
+        ],
+    }
+
+    return model.PgSTACSearch(**search), body.metadata
+
+
+mosaic = MosaicTilerFactory(
+    extensions=[
+      searchInfoExtension
+    ]
+)
+app.include_router(mosaic.router)
+add_search_register_route(app, search_dependency=search_factory)
+
+

Checking:

+
$ curl -s -X 'POST' \
+  'http://localhost:8081/register' \
+  -H 'accept: application/json' \
+  -H 'Authorization: Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiIxMjM0NTY3ODkwIiwibmFtZSI6IkpvaG4gRG9lIiwiaWF0IjoxNTE2MjM5MDIyLCJzY29wZSI6InpvbmVfQSJ9.BelzluX7v7kYObix2KSyy1T5gEOQYQn_pyNO5Ri0gWo' \
+  -H 'Content-Type: application/json' \
+  -d '{"filter":{"op":"and","args":[{"op":"=","args":[{"property":"collection"},"l1"]}]}}' | jq '.id'
+"bbc3c8f4c392436f74de6cd0308469f6"
+
+$ curl -X 'GET' \
+  'http://localhost:8081/bbc3c8f4c392436f74de6cd0308469f6/info' \
+  -H 'accept: application/json'
+{"hash":"bbc3c8f4c392436f74de6cd0308469f6","search":{"filter":{"op":"and","args":[{"op":"s_intersects","args":[{"property":"geometry"},{"type":"Point","coordinates":[-41.93,-12.76]}]},{"op":"and","args":[{"op":"=","args":[{"property":"collection"},"l1"]}]}]}},"_where":"(  ( st_intersects(geometry, '0101000020E6100000D7A3703D0AF744C085EB51B81E8529C0'::geometry) and  ( (collection_id = 'l1') )  )  )  ","orderby":"datetime DESC, id DESC","lastused":"2022-02-23T13:00:04.090757+00:00","usecount":3,"metadata":{"type":"mosaic"}}
+
+ + + + + + +
+
+ + +
+ +
+ + + +
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+
+
+ + + + + + + + + + \ No newline at end of file diff --git a/1.0.0/advanced/custom_tilejson/custom_tilejson.md b/1.0.0/advanced/custom_tilejson/custom_tilejson.md new file mode 100644 index 00000000..8aa6a59c --- /dev/null +++ b/1.0.0/advanced/custom_tilejson/custom_tilejson.md @@ -0,0 +1,162 @@ + +Goal: enable users to select a predefined configuration stored in the mosaic Metadata. + + +```python +import sys +from typing import Optional +from dataclasses import dataclass + +from morecantile import TileMatrixSet +from titiler.core.resources.enums import ImageType +from titiler.core.models.mapbox import TileJSON +from titiler.pgstac import factory as TitilerPgSTACFactory +from titiler.pgstac.dependencies import PgSTACParams +from typing_extensions import Annotated + +from fastapi import Depends, Query + +from starlette.requests import Request + + +@dataclass +class MosaicTilerFactory(TitilerPgSTACFactory.MosaicTilerFactory): + """Custom factory.""" + + def _tilejson_routes(self) -> None: + """Custom TileJSON endpoint.""" + + @self.router.get( + "/tilejson.json", + response_model=TileJSON, + responses={200: {"description": "Return a tilejson"}}, + response_model_exclude_none=True, + ) + @self.router.get( + "/{tileMatrixSetId}/tilejson.json", + response_model=TileJSON, + responses={200: {"description": "Return a tilejson"}}, + response_model_exclude_none=True, + ) + def tilejson( + request: Request, + search_id=Depends(self.path_dependency), + tileMatrixSetId: Annotated[ # type: ignore + Literal[tuple(self.supported_tms.list())], + f"Identifier selecting one of the TileMatrixSetId supported (default: '{self.default_tms}')", + ] = self.default_tms, + layer: Annotated[ + str, + Query(description="Name of default configuration"), + ] = None, + tile_format: Annotated[ + Optional[ImageType], + Query( + description="Default will be automatically defined if the output image needs a mask (png) or not (jpeg).", + ), + ] = None, + tile_scale: Annotated[ + Optional[int], + Query( + gt=0, lt=4, description="Tile size scale. 1=256x256, 2=512x512..." + ), + ] = None, + minzoom: Annotated[ + Optional[int], + Query(description="Overwrite default minzoom."), + ] = None, + maxzoom: Annotated[ + Optional[int], + Query(description="Overwrite default maxzoom."), + ] = None, + layer_params=Depends(self.layer_dependency), + dataset_params=Depends(self.dataset_dependency), + pixel_selection=Depends(self.pixel_selection_dependency), + buffer: Annotated[ + Optional[float], + Query( + gt=0, + title="Tile buffer.", + description="Buffer on each side of the given tile. It must be a multiple of `0.5`. Output **tilesize** will be expanded to `tilesize + 2 * buffer` (e.g 0.5 = 257x257, 1.0 = 258x258).", + ), + ] = None, + post_process=Depends(self.process_dependency), + rescale=Depends(self.rescale_dependency), + color_formula: Annotated[ + Optional[str], + Query( + title="Color Formula", + description="rio-color formula (info: https://github.com/mapbox/rio-color)", + ), + ] = None, + colormap=Depends(self.colormap_dependency), + render_params=Depends(self.render_dependency), + pgstac_params: PgSTACParams = Depends(), + backend_params=Depends(self.backend_dependency), + reader_params=Depends(self.reader_dependency), + ): + """Return TileJSON document for a SearchId.""" + with request.app.state.dbpool.connection() as conn: + with conn.cursor(row_factory=class_row(model.Search)) as cursor: + cursor.execute( + "SELECT * FROM searches WHERE hash=%s;", + (search_id,), + ) + search_info = cursor.fetchone() + if not search_info: + raise KeyError(f"search {search_id} not found") + + route_params = { + "search_id": search_info.id, + "z": "{z}", + "x": "{x}", + "y": "{y}", + "tileMatrixSetId": tileMatrixSetId, + } + if tile_scale: + route_params["scale"] = tile_scale + if tile_format: + route_params["format"] = tile_format.value + + tiles_url = self.url_for(request, "tile", **route_params) + + qs_key_to_remove = [ + "tilematrixsetid", + "tile_format", + "tile_scale", + "minzoom", + "maxzoom", + "layer", + ] + qs = [ + (key, value) + for (key, value) in request.query_params._list + if key.lower() not in qs_key_to_remove + ] + + if layer: + config = search_info.defaults.get(layer) + if not config: + raise HTTPException(status_code=404, detail=f"Invalid {layer} configuration.") + + # This assume the default configuration follows the endpoint expected format + # as `"true_color": [("assets", "B4"), ("assets", "B3"), ("assets", "B2")]` + qs = QueryParams(config) + + if qs: + tiles_url += f"?{urlencode(qs)}" + + minzoom = _first_value([minzoom, search_info.metadata.minzoom], tms.minzoom) + maxzoom = _first_value([maxzoom, search_info.metadata.maxzoom], tms.maxzoom) + bounds = _first_value( + [search_info.input_search.get("bbox"), search_info.metadata.bounds], + tms.bbox, + ) + return { + "bounds": bounds, + "minzoom": minzoom, + "maxzoom": maxzoom, + "name": search_info.metadata.name or search_info.id, + "tiles": [tiles_url], + } +``` diff --git a/1.0.0/advanced/custom_tilejson/index.html b/1.0.0/advanced/custom_tilejson/index.html new file mode 100644 index 00000000..c285f09b --- /dev/null +++ b/1.0.0/advanced/custom_tilejson/index.html @@ -0,0 +1,1126 @@ + + + + + + + + + + + + + + + + + + + + Custom TileJSON endpoint - TiTiler.PgSTAC + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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+ + + + + + + + + +

Custom TileJSON endpoint

+ +

Goal: enable users to select a predefined configuration stored in the mosaic Metadata.

+
import sys
+from typing import Optional
+from dataclasses import dataclass
+
+from morecantile import TileMatrixSet
+from titiler.core.resources.enums import ImageType
+from titiler.core.models.mapbox import TileJSON
+from titiler.pgstac import factory as TitilerPgSTACFactory
+from titiler.pgstac.dependencies import PgSTACParams
+from typing_extensions import Annotated
+
+from fastapi import Depends, Query
+
+from starlette.requests import Request
+
+
+@dataclass
+class MosaicTilerFactory(TitilerPgSTACFactory.MosaicTilerFactory):
+    """Custom factory."""
+
+    def _tilejson_routes(self) -> None:
+        """Custom TileJSON endpoint."""
+
+        @self.router.get(
+            "/tilejson.json",
+            response_model=TileJSON,
+            responses={200: {"description": "Return a tilejson"}},
+            response_model_exclude_none=True,
+        )
+        @self.router.get(
+            "/{tileMatrixSetId}/tilejson.json",
+            response_model=TileJSON,
+            responses={200: {"description": "Return a tilejson"}},
+            response_model_exclude_none=True,
+        )
+        def tilejson(
+            request: Request,
+            search_id=Depends(self.path_dependency),
+            tileMatrixSetId: Annotated[  # type: ignore
+                Literal[tuple(self.supported_tms.list())],
+                f"Identifier selecting one of the TileMatrixSetId supported (default: '{self.default_tms}')",
+            ] = self.default_tms,
+            layer: Annotated[
+                str,
+                Query(description="Name of default configuration"),
+            ] = None,
+            tile_format: Annotated[
+                Optional[ImageType],
+                Query(
+                    description="Default will be automatically defined if the output image needs a mask (png) or not (jpeg).",
+                ),
+            ] = None,
+            tile_scale: Annotated[
+                Optional[int],
+                Query(
+                    gt=0, lt=4, description="Tile size scale. 1=256x256, 2=512x512..."
+                ),
+            ] = None,
+            minzoom: Annotated[
+                Optional[int],
+                Query(description="Overwrite default minzoom."),
+            ] = None,
+            maxzoom: Annotated[
+                Optional[int],
+                Query(description="Overwrite default maxzoom."),
+            ] = None,
+            layer_params=Depends(self.layer_dependency),
+            dataset_params=Depends(self.dataset_dependency),
+            pixel_selection=Depends(self.pixel_selection_dependency),
+            buffer: Annotated[
+                Optional[float],
+                Query(
+                    gt=0,
+                    title="Tile buffer.",
+                    description="Buffer on each side of the given tile. It must be a multiple of `0.5`. Output **tilesize** will be expanded to `tilesize + 2 * buffer` (e.g 0.5 = 257x257, 1.0 = 258x258).",
+                ),
+            ] = None,
+            post_process=Depends(self.process_dependency),
+            rescale=Depends(self.rescale_dependency),
+            color_formula: Annotated[
+                Optional[str],
+                Query(
+                    title="Color Formula",
+                    description="rio-color formula (info: https://github.com/mapbox/rio-color)",
+                ),
+            ] = None,
+            colormap=Depends(self.colormap_dependency),
+            render_params=Depends(self.render_dependency),
+            pgstac_params: PgSTACParams = Depends(),
+            backend_params=Depends(self.backend_dependency),
+            reader_params=Depends(self.reader_dependency),
+        ):
+            """Return TileJSON document for a SearchId."""
+            with request.app.state.dbpool.connection() as conn:
+                with conn.cursor(row_factory=class_row(model.Search)) as cursor:
+                    cursor.execute(
+                        "SELECT * FROM searches WHERE hash=%s;",
+                        (search_id,),
+                    )
+                    search_info = cursor.fetchone()
+                    if not search_info:
+                        raise KeyError(f"search {search_id} not found")
+
+            route_params = {
+                "search_id": search_info.id,
+                "z": "{z}",
+                "x": "{x}",
+                "y": "{y}",
+                "tileMatrixSetId": tileMatrixSetId,
+            }
+            if tile_scale:
+                route_params["scale"] = tile_scale
+            if tile_format:
+                route_params["format"] = tile_format.value
+
+            tiles_url = self.url_for(request, "tile", **route_params)
+
+            qs_key_to_remove = [
+                "tilematrixsetid",
+                "tile_format",
+                "tile_scale",
+                "minzoom",
+                "maxzoom",
+                "layer",
+            ]
+            qs = [
+                (key, value)
+                for (key, value) in request.query_params._list
+                if key.lower() not in qs_key_to_remove
+            ]
+
+            if layer:
+                config = search_info.defaults.get(layer)
+                if not config:
+                    raise HTTPException(status_code=404, detail=f"Invalid {layer} configuration.")
+
+                # This assume the default configuration follows the endpoint expected format
+                # as `"true_color": [("assets", "B4"), ("assets", "B3"), ("assets", "B2")]`
+                qs = QueryParams(config)
+
+            if qs:
+                tiles_url += f"?{urlencode(qs)}"
+
+            minzoom = _first_value([minzoom, search_info.metadata.minzoom], tms.minzoom)
+            maxzoom = _first_value([maxzoom, search_info.metadata.maxzoom], tms.maxzoom)
+            bounds = _first_value(
+                [search_info.input_search.get("bbox"), search_info.metadata.bounds],
+                tms.bbox,
+            )
+            return {
+                "bounds": bounds,
+                "minzoom": minzoom,
+                "maxzoom": maxzoom,
+                "name": search_info.metadata.name or search_info.id,
+                "tiles": [tiles_url],
+            }
+
+ + + + + + +
+
+ + +
+ +
+ + + +
+
+
+
+ + + + + + + + + + \ No newline at end of file diff --git a/1.0.0/advanced/metadata/index.html b/1.0.0/advanced/metadata/index.html new file mode 100644 index 00000000..0e34f064 --- /dev/null +++ b/1.0.0/advanced/metadata/index.html @@ -0,0 +1,1129 @@ + + + + + + + + + + + + + + + + + + + + Mosaic metadata specification - TiTiler.PgSTAC + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ + + + Skip to content + + +
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+ + + + + + + + + +

Mosaic metadata specification

+ +

TiTiler-PgSTAC uses PgSTAC search to host mosaic parameters for performance purposes. To help users we added the possibility to add metadata to search entries and in TiTiler-PgSTAC we introduced a non-official specification to help user storing meaningful information.

+

Specification

+
{
+    // OPTIONAL. Default: "mosaic" (No other value accepted for now). Describe the `type` of metadata.
+    "type": "mosaic",
+
+    // OPTIONAL. Default: null.
+    // The maximum extent of available map tiles. The bounds are represented in WGS:84
+    // latitude and longitude values, in the order left, bottom, right, top.
+    // Values may be integers or floating point numbers.
+    "bounds": [ -180, -85.05112877980659, 180, 85.0511287798066 ],
+
+    // OPTIONAL. Default: null.
+    // An integer specifying the minimum zoom level.
+    "minzoom": 0,
+
+    // OPTIONAL. Default: null.
+    // An integer specifying the maximum zoom level. MUST be >= minzoom.
+    "maxzoom": 11,
+
+    // OPTIONAL. Default: null. The name can contain any legal character.
+    "name": "compositing",
+
+    // OPTIONAL. Default: null. An array of available assets.
+    "assets": ["image", "cog"],
+
+    // OPTIONAL. Default: null. A set of `defaults` configuration to be forwarded to the /tiles endpoints.
+    "defaults": {
+        "true_color": {
+            "assets": ["B4", "B3", "B2"],
+            "color_formula": "Gamma RGB 3.5 Saturation 1.7 Sigmoidal RGB 15 0.35",
+        },
+        "ndvi": {
+            "expression": "(B4-B3)/(B4+B3)",
+            "rescale": "-1,1",
+            "colormap_name": "viridis"
+        }
+    }
+}
+
+
+

Important

+
    +
  • When using the /searches/register endpoint, {"type": "mosaic"} will be set by default
    • +
  • All metadata fields are optional and custom fields are also allowed.
    • +
+
+
curl -X 'POST' 'http://127.0.0.1:8081/searches/register' -H 'accept: application/json' -H 'Content-Type: application/json' -d '{"filter": {"op": "=", "args": [{"property": "collection"}, "landsat-c2l2-sr"]}, "metadata": {"name": "landsat mosaic"}}'
+>> {
+  "id": "d7fcdefd0457c949ea7a6192bc2c7122",
+  "links": [
+    {
+      "rel": "metadata",
+      "type": "application/json",
+      "href": "http://127.0.0.1:8081/searches/d7fcdefd0457c949ea7a6192bc2c7122/info"
+    },
+    {
+      "rel": "tilejson",
+      "type": "application/json",
+      "href": "http://127.0.0.1:8081/searches/d7fcdefd0457c949ea7a6192bc2c7122/tilejson.json"
+    }
+  ]
+}
+
+curl http://127.0.0.1:8081/searches/d7fcdefd0457c949ea7a6192bc2c7122/info | jq '.search.metadata'
+>> {
+  "type": "mosaic",
+  "name": "landsat mosaic"
+}
+
+
curl -X 'POST' 'http://127.0.0.1:8081/searches/register' -H 'accept: application/json' -H 'Content-Type: application/json' -d '{"collections": ["noaa-emergency-response"], "bbox": [-87.0251, 36.0999, -85.4249, 36.2251], "filter-lang": "cql-json", "metadata": {"bounds": [-87.0251, 36.0999, -85.4249, 36.2251], "minzoom": 14, "maxzoom": 18, "assets": ["cog"], "defaults": {"true_color": {"bidx": [1, 2, 3]}}}}'
+>> {
+  "id":"4b0db3dbd1858d54a3a55f84de97d1ca",
+  "links":[
+    {
+      "rel": "metadata",
+      "type": "application/json",
+      "href": "http://127.0.0.1:8081/searches/4b0db3dbd1858d54a3a55f84de97d1ca/info"
+    },
+    {
+      "rel": "tilejson",
+      "type": "application/json",
+      "href": "http://127.0.0.1:8081/searches/4b0db3dbd1858d54a3a55f84de97d1ca/tilejson.json"
+    }
+  ]
+}
+
+curl http://127.0.0.1:8081/searches/4b0db3dbd1858d54a3a55f84de97d1ca/info | jq '.search.metadata'
+>> {
+  "type": "mosaic",
+  "bounds": [
+    -87.0251,
+    36.0999,
+    -85.4249,
+    36.2251
+  ],
+  "minzoom": 14,
+  "maxzoom": 18,
+  "assets": [
+    "cog"
+  ],
+  "defaults": {
+    "true_color": {
+      "bidx": [
+        1,
+        2,
+        3
+      ]
+    }
+  }
+}
+
+ + + + + + +
+
+ + +
+ +
+ + + +
+
+
+
+ + + + + + + + + + \ No newline at end of file diff --git a/1.0.0/advanced/metadata/metadata.md b/1.0.0/advanced/metadata/metadata.md new file mode 100644 index 00000000..0c4ce0ab --- /dev/null +++ b/1.0.0/advanced/metadata/metadata.md @@ -0,0 +1,117 @@ +`TiTiler-PgSTAC` uses PgSTAC [search](https://github.com/stac-utils/pgstac/blob/3499daa2bfa700ae7bb07503795c169bf2ebafc7/sql/004_search.sql#L907-L915) to host mosaic parameters for performance purposes. To help users we added the possibility to add `metadata` to search entries and in `TiTiler-PgSTAC` we introduced a `non-official` specification to help user storing meaningful information. + +### Specification + +```js +{ + // OPTIONAL. Default: "mosaic" (No other value accepted for now). Describe the `type` of metadata. + "type": "mosaic", + + // OPTIONAL. Default: null. + // The maximum extent of available map tiles. The bounds are represented in WGS:84 + // latitude and longitude values, in the order left, bottom, right, top. + // Values may be integers or floating point numbers. + "bounds": [ -180, -85.05112877980659, 180, 85.0511287798066 ], + + // OPTIONAL. Default: null. + // An integer specifying the minimum zoom level. + "minzoom": 0, + + // OPTIONAL. Default: null. + // An integer specifying the maximum zoom level. MUST be >= minzoom. + "maxzoom": 11, + + // OPTIONAL. Default: null. The name can contain any legal character. + "name": "compositing", + + // OPTIONAL. Default: null. An array of available assets. + "assets": ["image", "cog"], + + // OPTIONAL. Default: null. A set of `defaults` configuration to be forwarded to the /tiles endpoints. + "defaults": { + "true_color": { + "assets": ["B4", "B3", "B2"], + "color_formula": "Gamma RGB 3.5 Saturation 1.7 Sigmoidal RGB 15 0.35", + }, + "ndvi": { + "expression": "(B4-B3)/(B4+B3)", + "rescale": "-1,1", + "colormap_name": "viridis" + } + } +} +``` + +!!! Important + - When using the `/searches/register` endpoint, `{"type": "mosaic"}` will be set by default + - All metadata fields are optional and custom fields are also allowed. + + +``` +curl -X 'POST' 'http://127.0.0.1:8081/searches/register' -H 'accept: application/json' -H 'Content-Type: application/json' -d '{"filter": {"op": "=", "args": [{"property": "collection"}, "landsat-c2l2-sr"]}, "metadata": {"name": "landsat mosaic"}}' +>> { + "id": "d7fcdefd0457c949ea7a6192bc2c7122", + "links": [ + { + "rel": "metadata", + "type": "application/json", + "href": "http://127.0.0.1:8081/searches/d7fcdefd0457c949ea7a6192bc2c7122/info" + }, + { + "rel": "tilejson", + "type": "application/json", + "href": "http://127.0.0.1:8081/searches/d7fcdefd0457c949ea7a6192bc2c7122/tilejson.json" + } + ] +} + +curl http://127.0.0.1:8081/searches/d7fcdefd0457c949ea7a6192bc2c7122/info | jq '.search.metadata' +>> { + "type": "mosaic", + "name": "landsat mosaic" +} +``` + +``` +curl -X 'POST' 'http://127.0.0.1:8081/searches/register' -H 'accept: application/json' -H 'Content-Type: application/json' -d '{"collections": ["noaa-emergency-response"], "bbox": [-87.0251, 36.0999, -85.4249, 36.2251], "filter-lang": "cql-json", "metadata": {"bounds": [-87.0251, 36.0999, -85.4249, 36.2251], "minzoom": 14, "maxzoom": 18, "assets": ["cog"], "defaults": {"true_color": {"bidx": [1, 2, 3]}}}}' +>> { + "id":"4b0db3dbd1858d54a3a55f84de97d1ca", + "links":[ + { + "rel": "metadata", + "type": "application/json", + "href": "http://127.0.0.1:8081/searches/4b0db3dbd1858d54a3a55f84de97d1ca/info" + }, + { + "rel": "tilejson", + "type": "application/json", + "href": "http://127.0.0.1:8081/searches/4b0db3dbd1858d54a3a55f84de97d1ca/tilejson.json" + } + ] +} + +curl http://127.0.0.1:8081/searches/4b0db3dbd1858d54a3a55f84de97d1ca/info | jq '.search.metadata' +>> { + "type": "mosaic", + "bounds": [ + -87.0251, + 36.0999, + -85.4249, + 36.2251 + ], + "minzoom": 14, + "maxzoom": 18, + "assets": [ + "cog" + ], + "defaults": { + "true_color": { + "bidx": [ + 1, + 2, + 3 + ] + } + } +} +``` diff --git a/1.0.0/advanced/searches_list/index.html b/1.0.0/advanced/searches_list/index.html new file mode 100644 index 00000000..3891d445 --- /dev/null +++ b/1.0.0/advanced/searches_list/index.html @@ -0,0 +1,992 @@ + + + + + + + + + + + + + + + + + + + + Mosaic list - TiTiler.PgSTAC + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ +
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Mosaic list

+ +

Starting with titiler-pgstac>=0.2.0, we've added a /searches/list endpoint to be able to list all registered mosaics. When we add a mosaic via /searches/register we add a specific metadata.type: "mosaic" to the pgstac search entry, which is then used by the /searches/list endpoint to filter the pgstac searches.

+

In order to make the mosaic list performant, users might want to alter their PgSTAC database to add an index

+
$ psql
+postgis=# SET schema 'pgstac';
+>> SET
+
+postgis=# CREATE INDEX IF NOT EXISTS searches_mosaic ON searches ((true)) WHERE metadata->>'type'='mosaic';
+>> NOTICE:  relation "searches_mosaic" already exists, skipping
+>> CREATE INDEX
+
+postgis=# SELECT
+    indexname,
+    indexdef
+FROM
+    pg_indexes
+WHERE
+    tablename = 'searches';
+
+>>     indexname    |                                                         indexdef
+>> -----------------+---------------------------------------------------------------------------------------------------------------------------
+>>  searches_pkey   | CREATE UNIQUE INDEX searches_pkey ON pgstac.searches USING btree (hash)
+>>  searches_mosaic | CREATE INDEX searches_mosaic ON pgstac.searches USING btree ((true)) WHERE ((metadata ->> 'type'::text) = 'mosaic'::text)
+
+

ref: github.com/developmentseed/eoAPI/blob/master/stack/handlers/db_handler.py#L204-L213

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+ + + + + + + + + + \ No newline at end of file diff --git a/1.0.0/advanced/searches_list/searches_list.md b/1.0.0/advanced/searches_list/searches_list.md new file mode 100644 index 00000000..3e0331db --- /dev/null +++ b/1.0.0/advanced/searches_list/searches_list.md @@ -0,0 +1,30 @@ + + +Starting with `titiler-pgstac>=0.2.0`, we've added a `/searches/list` endpoint to be able to list all registered mosaics. When we add a mosaic via `/searches/register` we add a specific `metadata.type: "mosaic"` to the pgstac `search` entry, which is then used by the `/searches/list` endpoint to filter the pgstac `searches`. + +In order to make the mosaic list performant, users might want to alter their PgSTAC database to add an **index** + +```sql +$ psql +postgis=# SET schema 'pgstac'; +>> SET + +postgis=# CREATE INDEX IF NOT EXISTS searches_mosaic ON searches ((true)) WHERE metadata->>'type'='mosaic'; +>> NOTICE: relation "searches_mosaic" already exists, skipping +>> CREATE INDEX + +postgis=# SELECT + indexname, + indexdef +FROM + pg_indexes +WHERE + tablename = 'searches'; + +>> indexname | indexdef +>> -----------------+--------------------------------------------------------------------------------------------------------------------------- +>> searches_pkey | CREATE UNIQUE INDEX searches_pkey ON pgstac.searches USING btree (hash) +>> searches_mosaic | CREATE INDEX searches_mosaic ON pgstac.searches USING btree ((true)) WHERE ((metadata ->> 'type'::text) = 'mosaic'::text) +``` + +ref: https://github.com/developmentseed/eoAPI/blob/master/stack/handlers/db_handler.py#L204-L213 diff --git a/1.0.0/api/titiler/pgstac/db/db.md b/1.0.0/api/titiler/pgstac/db/db.md new file mode 100644 index 00000000..64798db6 --- /dev/null +++ b/1.0.0/api/titiler/pgstac/db/db.md @@ -0,0 +1,28 @@ +# Module titiler.pgstac.db + +Database connection handling. + +## Functions + + +### close_db_connection + +```python3 +def close_db_connection( + app: fastapi.applications.FastAPI +) -> None +``` + +Close Pool. + + +### connect_to_db + +```python3 +def connect_to_db( + app: fastapi.applications.FastAPI, + settings: Union[titiler.pgstac.settings.PostgresSettings, NoneType] = None +) -> None +``` + +Connect to Database. \ No newline at end of file diff --git a/1.0.0/api/titiler/pgstac/db/index.html b/1.0.0/api/titiler/pgstac/db/index.html new file mode 100644 index 00000000..48fedf04 --- /dev/null +++ b/1.0.0/api/titiler/pgstac/db/index.html @@ -0,0 +1,1079 @@ + + + + + + + + + + + + + + + + + + + + db - TiTiler.PgSTAC + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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Module titiler.pgstac.db

+

Database connection handling.

+

Functions

+

close_db_connection

+
def close_db_connection(
+    app: fastapi.applications.FastAPI
+) -> None
+
+

Close Pool.

+

connect_to_db

+
def connect_to_db(
+    app: fastapi.applications.FastAPI,
+    settings: Union[titiler.pgstac.settings.PostgresSettings, NoneType] = None
+) -> None
+
+

Connect to Database.

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+ + + + + + + + + + \ No newline at end of file diff --git a/1.0.0/api/titiler/pgstac/dependencies/dependencies.md b/1.0.0/api/titiler/pgstac/dependencies/dependencies.md new file mode 100644 index 00000000..df77c69d --- /dev/null +++ b/1.0.0/api/titiler/pgstac/dependencies/dependencies.md @@ -0,0 +1,157 @@ +# Module titiler.pgstac.dependencies + +titiler-pgstac dependencies. + +## Variables + +```python3 +cache_config +``` + +```python3 +retry_config +``` + +## Functions + + +### CollectionIdParams + +```python3 +def CollectionIdParams( + request: starlette.requests.Request, + collection_id: typing_extensions.Annotated[str, Path(PydanticUndefined)] +) -> str +``` + +collection_id Path Parameter + + +### ItemIdParams + +```python3 +def ItemIdParams( + request: starlette.requests.Request, + collection_id: typing_extensions.Annotated[str, Path(PydanticUndefined)], + item_id: typing_extensions.Annotated[str, Path(PydanticUndefined)] +) -> pystac.item.Item +``` + +STAC Item dependency. + + +### SearchIdParams + +```python3 +def SearchIdParams( + search_id: typing_extensions.Annotated[str, Path(PydanticUndefined)] +) -> str +``` + +search_id + + +### SearchParams + +```python3 +def SearchParams( + body: titiler.pgstac.model.RegisterMosaic +) -> Tuple[titiler.pgstac.model.PgSTACSearch, titiler.pgstac.model.Metadata] +``` + +Search parameters. + + +### TmsTileParams + +```python3 +def TmsTileParams( + z: typing_extensions.Annotated[int, Path(PydanticUndefined)], + x: typing_extensions.Annotated[int, Path(PydanticUndefined)], + y: typing_extensions.Annotated[int, Path(PydanticUndefined)] +) -> morecantile.commons.Tile +``` + +TileMatrixSet Tile parameters. + +## Classes + +### BackendParams + +```python3 +class BackendParams( + request: starlette.requests.Request +) +``` + +backend parameters. + +#### Ancestors (in MRO) + +* titiler.core.dependencies.DefaultDependency + +#### Methods + + +#### keys + +```python3 +def keys( + self +) +``` + +Return Keys. + +### PgSTACParams + +```python3 +class PgSTACParams( + scan_limit: typing_extensions.Annotated[Union[int, NoneType], Query(PydanticUndefined)] = None, + items_limit: typing_extensions.Annotated[Union[int, NoneType], Query(PydanticUndefined)] = None, + time_limit: typing_extensions.Annotated[Union[int, NoneType], Query(PydanticUndefined)] = None, + exitwhenfull: typing_extensions.Annotated[Union[bool, NoneType], Query(PydanticUndefined)] = None, + skipcovered: typing_extensions.Annotated[Union[bool, NoneType], Query(PydanticUndefined)] = None +) +``` + +PgSTAC parameters. + +#### Ancestors (in MRO) + +* titiler.core.dependencies.DefaultDependency + +#### Class variables + +```python3 +exitwhenfull +``` + +```python3 +items_limit +``` + +```python3 +scan_limit +``` + +```python3 +skipcovered +``` + +```python3 +time_limit +``` + +#### Methods + + +#### keys + +```python3 +def keys( + self +) +``` + +Return Keys. \ No newline at end of file diff --git a/1.0.0/api/titiler/pgstac/dependencies/index.html b/1.0.0/api/titiler/pgstac/dependencies/index.html new file mode 100644 index 00000000..bd123714 --- /dev/null +++ b/1.0.0/api/titiler/pgstac/dependencies/index.html @@ -0,0 +1,1388 @@ + + + + + + + + + + + + + + + + + + + + dependencies - TiTiler.PgSTAC + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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Module titiler.pgstac.dependencies

+

titiler-pgstac dependencies.

+

Variables

+
cache_config
+
+
retry_config
+
+

Functions

+

CollectionIdParams

+
def CollectionIdParams(
+    request: starlette.requests.Request,
+    collection_id: typing_extensions.Annotated[str, Path(PydanticUndefined)]
+) -> str
+
+

collection_id Path Parameter

+

ItemIdParams

+
def ItemIdParams(
+    request: starlette.requests.Request,
+    collection_id: typing_extensions.Annotated[str, Path(PydanticUndefined)],
+    item_id: typing_extensions.Annotated[str, Path(PydanticUndefined)]
+) -> pystac.item.Item
+
+

STAC Item dependency.

+

SearchIdParams

+
def SearchIdParams(
+    search_id: typing_extensions.Annotated[str, Path(PydanticUndefined)]
+) -> str
+
+

search_id

+

SearchParams

+
def SearchParams(
+    body: titiler.pgstac.model.RegisterMosaic
+) -> Tuple[titiler.pgstac.model.PgSTACSearch, titiler.pgstac.model.Metadata]
+
+

Search parameters.

+

TmsTileParams

+
def TmsTileParams(
+    z: typing_extensions.Annotated[int, Path(PydanticUndefined)],
+    x: typing_extensions.Annotated[int, Path(PydanticUndefined)],
+    y: typing_extensions.Annotated[int, Path(PydanticUndefined)]
+) -> morecantile.commons.Tile
+
+

TileMatrixSet Tile parameters.

+

Classes

+

BackendParams

+
class BackendParams(
+    request: starlette.requests.Request
+)
+
+

backend parameters.

+

Ancestors (in MRO)

+
    +
  • titiler.core.dependencies.DefaultDependency
    • +
+

Methods

+

keys

+
def keys(
+    self
+)
+
+

Return Keys.

+

PgSTACParams

+
class PgSTACParams(
+    scan_limit: typing_extensions.Annotated[Union[int, NoneType], Query(PydanticUndefined)] = None,
+    items_limit: typing_extensions.Annotated[Union[int, NoneType], Query(PydanticUndefined)] = None,
+    time_limit: typing_extensions.Annotated[Union[int, NoneType], Query(PydanticUndefined)] = None,
+    exitwhenfull: typing_extensions.Annotated[Union[bool, NoneType], Query(PydanticUndefined)] = None,
+    skipcovered: typing_extensions.Annotated[Union[bool, NoneType], Query(PydanticUndefined)] = None
+)
+
+

PgSTAC parameters.

+

Ancestors (in MRO)

+
    +
  • titiler.core.dependencies.DefaultDependency
    • +
+

Class variables

+
exitwhenfull
+
+
items_limit
+
+
scan_limit
+
+
skipcovered
+
+
time_limit
+
+

Methods

+

keys

+
def keys(
+    self
+)
+
+

Return Keys.

+ + + + + + +
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+ + + + + + + + + + \ No newline at end of file diff --git a/1.0.0/api/titiler/pgstac/extensions/extensions.md b/1.0.0/api/titiler/pgstac/extensions/extensions.md new file mode 100644 index 00000000..fca869ad --- /dev/null +++ b/1.0.0/api/titiler/pgstac/extensions/extensions.md @@ -0,0 +1,33 @@ +# Module titiler.pgstac.extensions + +titiler.pgstac extensions. + +## Classes + +### searchInfoExtension + +```python3 +class searchInfoExtension( + +) +``` + +Add /info endpoint + +#### Ancestors (in MRO) + +* titiler.core.factory.FactoryExtension + +#### Methods + + +#### register + +```python3 +def register( + self, + factory: titiler.pgstac.factory.MosaicTilerFactory +) +``` + +Register endpoint to the tiler factory. \ No newline at end of file diff --git a/1.0.0/api/titiler/pgstac/extensions/index.html b/1.0.0/api/titiler/pgstac/extensions/index.html new file mode 100644 index 00000000..f1bb80e4 --- /dev/null +++ b/1.0.0/api/titiler/pgstac/extensions/index.html @@ -0,0 +1,1124 @@ + + + + + + + + + + + + + + + + + + + + extensions - TiTiler.PgSTAC + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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Module titiler.pgstac.extensions

+

titiler.pgstac extensions.

+

Classes

+

searchInfoExtension

+
class searchInfoExtension(
+
+)
+
+

Add /info endpoint

+

Ancestors (in MRO)

+
    +
  • titiler.core.factory.FactoryExtension
    • +
+

Methods

+

register

+
def register(
+    self,
+    factory: titiler.pgstac.factory.MosaicTilerFactory
+)
+
+

Register endpoint to the tiler factory.

+ + + + + + +
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+ + + + + + + + + + \ No newline at end of file diff --git a/1.0.0/api/titiler/pgstac/factory/factory.md b/1.0.0/api/titiler/pgstac/factory/factory.md new file mode 100644 index 00000000..3289a912 --- /dev/null +++ b/1.0.0/api/titiler/pgstac/factory/factory.md @@ -0,0 +1,316 @@ +# Module titiler.pgstac.factory + +Custom MosaicTiler Factory for PgSTAC Mosaic Backend. + +## Variables + +```python3 +DEFAULT_TEMPLATES +``` + +```python3 +MAX_THREADS +``` + +```python3 +MOSAIC_STRICT_ZOOM +``` + +```python3 +MOSAIC_THREADS +``` + +```python3 +WGS84_CRS +``` + +```python3 +img_endpoint_params +``` + +## Functions + + +### add_search_list_route + +```python3 +def add_search_list_route( + app: fastapi.applications.FastAPI, + *, + prefix: str = '', + tags: Union[List[str], NoneType] = None +) +``` + +Add PgSTAC Search (of type mosaic) listing route. + + +### add_search_register_route + +```python3 +def add_search_register_route( + app: fastapi.applications.FastAPI, + *, + prefix: str = '', + search_dependency: Callable[..., Tuple[titiler.pgstac.model.PgSTACSearch, titiler.pgstac.model.Metadata]] = , + tile_dependencies: Union[List[Callable], NoneType] = None, + tags: Union[List[str], NoneType] = None +) +``` + +add `/register` route + + +### check_query_params + +```python3 +def check_query_params( + *, + dependencies: List[Callable], + query_params: starlette.datastructures.QueryParams +) -> None +``` + +Check QueryParams for Query dependency. + +1. `get_dependant` is used to get the query-parameters required by the `callable` +2. we use `request_params_to_args` to construct arguments needed to call the `callable` +3. we call the `callable` and catch any errors + +Important: We assume the `callable` in not a co-routine + +## Classes + +### MosaicTilerFactory + +```python3 +class MosaicTilerFactory( + reader: Type[cogeo_mosaic.backends.base.BaseBackend] = , + router: fastapi.routing.APIRouter = , + path_dependency: Callable[..., str] = , + layer_dependency: Type[titiler.core.dependencies.DefaultDependency] = , + dataset_dependency: Type[titiler.core.dependencies.DefaultDependency] = , + process_dependency: Callable[..., Union[titiler.core.algorithm.base.BaseAlgorithm, NoneType]] = .post_process at 0x7fcfd2907820>, + rescale_dependency: Callable[..., Union[List[Tuple[float, ...]], NoneType]] = , + color_formula_dependency: Callable[..., Union[str, NoneType]] = , + colormap_dependency: Callable[..., Union[Dict[int, Tuple[int, int, int, int]], Sequence[Tuple[Tuple[Union[float, int], Union[float, int]], Tuple[int, int, int, int]]], NoneType]] = .deps at 0x7fcfdb97d040>, + render_dependency: Type[titiler.core.dependencies.DefaultDependency] = , + reader_dependency: Type[titiler.core.dependencies.DefaultDependency] = , + environment_dependency: Callable[..., Dict] = at 0x7fcfd2907790>, + supported_tms: morecantile.defaults.TileMatrixSets = TileMatrixSets(tms={'CDB1GlobalGrid': PosixPath('/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/morecantile/data/CDB1GlobalGrid.json'), 'CanadianNAD83_LCC': PosixPath('/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/morecantile/data/CanadianNAD83_LCC.json'), 'EuropeanETRS89_LAEAQuad': PosixPath('/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/morecantile/data/EuropeanETRS89_LAEAQuad.json'), 'GNOSISGlobalGrid': PosixPath('/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/morecantile/data/GNOSISGlobalGrid.json'), 'LINZAntarticaMapTilegrid': PosixPath('/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/morecantile/data/LINZAntarticaMapTilegrid.json'), 'NZTM2000Quad': PosixPath('/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/morecantile/data/NZTM2000Quad.json'), 'UPSAntarcticWGS84Quad': PosixPath('/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/morecantile/data/UPSAntarcticWGS84Quad.json'), 'UPSArcticWGS84Quad': PosixPath('/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/morecantile/data/UPSArcticWGS84Quad.json'), 'UTM31WGS84Quad': PosixPath('/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/morecantile/data/UTM31WGS84Quad.json'), 'WGS1984Quad': PosixPath('/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/morecantile/data/WGS1984Quad.json'), 'WebMercatorQuad': , + route_dependencies: List[Tuple[List[titiler.core.routing.EndpointScope], List[fastapi.params.Depends]]] = , + extensions: List[titiler.core.factory.FactoryExtension] = , + templates: starlette.templating.Jinja2Templates = , + stats_dependency: Type[titiler.core.dependencies.DefaultDependency] = , + histogram_dependency: Type[titiler.core.dependencies.DefaultDependency] = , + tile_dependency: Type[titiler.core.dependencies.DefaultDependency] = , + img_part_dependency: Type[titiler.core.dependencies.DefaultDependency] = , + pixel_selection_dependency: Callable[..., rio_tiler.mosaic.methods.base.MosaicMethodBase] = , + pgstac_dependency: Type[titiler.core.dependencies.DefaultDependency] = , + backend_dependency: Type[titiler.core.dependencies.DefaultDependency] = , + add_statistics: bool = False, + add_viewer: bool = False, + add_part: bool = False +) +``` + +Custom MosaicTiler for PgSTAC Mosaic Backend. + +#### Ancestors (in MRO) + +* titiler.core.factory.BaseTilerFactory + +#### Class variables + +```python3 +add_part +``` + +```python3 +add_statistics +``` + +```python3 +add_viewer +``` + +```python3 +backend_dependency +``` + +```python3 +dataset_dependency +``` + +```python3 +default_tms +``` + +```python3 +histogram_dependency +``` + +```python3 +img_part_dependency +``` + +```python3 +layer_dependency +``` + +```python3 +pgstac_dependency +``` + +```python3 +reader +``` + +```python3 +reader_dependency +``` + +```python3 +render_dependency +``` + +```python3 +router_prefix +``` + +```python3 +stats_dependency +``` + +```python3 +supported_tms +``` + +```python3 +templates +``` + +```python3 +tile_dependency +``` + +#### Methods + + +#### add_route_dependencies + +```python3 +def add_route_dependencies( + self, + *, + scopes: List[titiler.core.routing.EndpointScope], + dependencies=typing.List[fastapi.params.Depends] +) +``` + +Add dependencies to routes. + +Allows a developer to add dependencies to a route after the route has been defined. + + +#### color_formula_dependency + +```python3 +def color_formula_dependency( + color_formula: typing_extensions.Annotated[Union[str, NoneType], Query(PydanticUndefined)] = None +) -> Union[str, NoneType] +``` + +ColorFormula Parameter. + + +#### colormap_dependency + +```python3 +def colormap_dependency( + colormap_name: typing_extensions.Annotated[Literal['summer', 'gist_ncar_r', 'jet_r', 'brg_r', 'ocean_r', 'rdylbu_r', 'curl_r', 'twilight_r', 'flag_r', 'rdylbu', 'twilight_shifted', 'turbid_r', 'gist_stern_r', 'set1', 'brbg', 'ylorbr_r', 'viridis_r', 'tab20_r', 'tarn_r', 'viridis', 'amp_r', 'pubugn', 'bupu', 'jet', 'prism', 'ylgnbu', 'topo_r', 'ice', 'pubugn_r', 'hot_r', 'greys', 'gist_rainbow_r', 'reds_r', 'greens', 'autumn_r', 'nipy_spectral', 'cmrmap', 'accent_r', 'ylorrd', 'greys_r', 'terrain', 'rainbow', 'oxy_r', 'autumn', 'deep_r', 'twilight', 'pastel1', 'ocean', 'matter', 'phase', 'set3', 'pink_r', 'oranges_r', 'tab10', 'tab20c_r', 'balance_r', 'seismic', 'set2', 'dark2', 'afmhot', 'purd_r', 'puor', 'gnuplot_r', 'paired', 'turbo', 'tab10_r', 'coolwarm', 'gnbu', 'set1_r', 'diff', 'blues', 'gist_earth_r', 'solar_r', 'tarn', 'balance', 'tempo_r', 'ylorrd_r', 'paired_r', 'gist_heat_r', 'plasma', 'solar', 'cubehelix', 'gist_gray', 'brbg_r', 'magma_r', 'deep', 'binary', 'purd', 'magma', 'diff_r', 'cfastie', 'wistia_r', 'bupu_r', 'twilight_shifted_r', 'oranges', 'gist_yarg', 'prgn', 'gist_ncar', 'binary_r', 'wistia', 'ylgn_r', 'greens_r', 'blues_r', 'gray', 'turbid', 'rplumbo', 'dark2_r', 'topo', 'bwr', 'delta', 'speed_r', 'speed', 'gist_stern', 'inferno_r', 'puor_r', 'pubu', 'afmhot_r', 'gnbu_r', 'purples', 'ice_r', 'bugn_r', 'orrd_r', 'reds', 'pastel2_r', 'matter_r', 'inferno', 'gist_gray_r', 'rdbu', 'spectral_r', 'seismic_r', 'pink', 'summer_r', 'phase_r', 'piyg', 'copper_r', 'spring_r', 'algae_r', 'rdylgn', 'bugn', 'gist_heat', 'cubehelix_r', 'cmrmap_r', 'tab20', 'rain', 'rdylgn_r', 'amp', 'thermal', 'ylorbr', 'haline_r', 'bone_r', 'curl', 'ylgn', 'brg', 'ylgnbu_r', 'set2_r', 'dense', 'rdgy_r', 'tab20b_r', 'tab20c', 'prism_r', 'spring', 'gnuplot', 'pubu_r', 'purples_r', 'nipy_spectral_r', 'copper', 'prgn_r', 'bone', 'tab20b', 'rdpu', 'schwarzwald', 'oxy', 'terrain_r', 'coolwarm_r', 'cividis_r', 'gist_yarg_r', 'flag', 'rdbu_r', 'gist_rainbow', 'rain_r', 'cool_r', 'spectral', 'hsv', 'cool', 'thermal_r', 'dense_r', 'winter_r', 'set3_r', 'orrd', 'plasma_r', 'piyg_r', 'gist_earth', 'hot', 'gnuplot2', 'hsv_r', 'algae', 'pastel2', 'rainbow_r', 'gray_r', 'tempo', 'bwr_r', 'rdpu_r', 'pastel1_r', 'winter', 'accent', 'gnuplot2_r', 'turbo_r', 'haline', 'rdgy', 'delta_r', 'cividis'], Query(PydanticUndefined)] = None, + colormap: typing_extensions.Annotated[Union[str, NoneType], Query(PydanticUndefined)] = None +) +``` + + +#### environment_dependency + +```python3 +def environment_dependency( + +) +``` + + +#### path_dependency + +```python3 +def path_dependency( + url: typing_extensions.Annotated[str, Query(PydanticUndefined)] +) -> str +``` + +Create dataset path from args + + +#### pixel_selection_dependency + +```python3 +def pixel_selection_dependency( + pixel_selection: typing_extensions.Annotated[Literal['first', 'highest', 'lowest', 'mean', 'median', 'stdev', 'lastbandlow', 'lastbandhight'], Query(PydanticUndefined)] = 'first' +) -> rio_tiler.mosaic.methods.base.MosaicMethodBase +``` + +Returns the mosaic method used to combine datasets together. + + +#### process_dependency + +```python3 +def process_dependency( + algorithm: typing_extensions.Annotated[Literal['hillshade', 'contours', 'normalizedIndex', 'terrarium', 'terrainrgb'], Query(PydanticUndefined)] = None, + algorithm_params: typing_extensions.Annotated[Union[str, NoneType], Query(PydanticUndefined)] = None +) -> Union[titiler.core.algorithm.base.BaseAlgorithm, NoneType] +``` + +Data Post-Processing options. + + +#### register_routes + +```python3 +def register_routes( + self +) -> None +``` + +This Method register routes to the router. + + +#### rescale_dependency + +```python3 +def rescale_dependency( + rescale: typing_extensions.Annotated[Union[List[str], NoneType], Query(PydanticUndefined)] = None +) -> Union[List[Tuple[float, ...]], NoneType] +``` + +Min/Max data Rescaling + + +#### url_for + +```python3 +def url_for( + self, + request: starlette.requests.Request, + name: str, + **path_params: Any +) -> str +``` + +Return full url (with prefix) for a specific endpoint. \ No newline at end of file diff --git a/1.0.0/api/titiler/pgstac/factory/index.html b/1.0.0/api/titiler/pgstac/factory/index.html new file mode 100644 index 00000000..fa62f5de --- /dev/null +++ b/1.0.0/api/titiler/pgstac/factory/index.html @@ -0,0 +1,1519 @@ + + + + + + + + + + + + + + + + + + + + factory - TiTiler.PgSTAC + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ +
+ + + + + + +
+ + +
+ +
+ + + + + + +
+
+ + + +
+
+
+ + + + +
+
+
+ + + +
+
+
+ + + +
+
+
+ + + +
+
+ + + + + + + + + +

Module titiler.pgstac.factory

+

Custom MosaicTiler Factory for PgSTAC Mosaic Backend.

+

Variables

+
DEFAULT_TEMPLATES
+
+
MAX_THREADS
+
+
MOSAIC_STRICT_ZOOM
+
+
MOSAIC_THREADS
+
+
WGS84_CRS
+
+
img_endpoint_params
+
+

Functions

+

add_search_list_route

+
def add_search_list_route(
+    app: fastapi.applications.FastAPI,
+    *,
+    prefix: str = '',
+    tags: Union[List[str], NoneType] = None
+)
+
+

Add PgSTAC Search (of type mosaic) listing route.

+

add_search_register_route

+
def add_search_register_route(
+    app: fastapi.applications.FastAPI,
+    *,
+    prefix: str = '',
+    search_dependency: Callable[..., Tuple[titiler.pgstac.model.PgSTACSearch, titiler.pgstac.model.Metadata]] = <function SearchParams at 0x7fcfded0a700>,
+    tile_dependencies: Union[List[Callable], NoneType] = None,
+    tags: Union[List[str], NoneType] = None
+)
+
+

add /register route

+

check_query_params

+
def check_query_params(
+    *,
+    dependencies: List[Callable],
+    query_params: starlette.datastructures.QueryParams
+) -> None
+
+

Check QueryParams for Query dependency.

+
    +
  1. get_dependant is used to get the query-parameters required by the callable
    2. +
  2. we use request_params_to_args to construct arguments needed to call the callable
    3. +
  3. we call the callable and catch any errors
    4. +
+

Important: We assume the callable in not a co-routine

+

Classes

+

MosaicTilerFactory

+
class MosaicTilerFactory(
+    reader: Type[cogeo_mosaic.backends.base.BaseBackend] = <class 'titiler.pgstac.mosaic.PGSTACBackend'>,
+    router: fastapi.routing.APIRouter = <factory>,
+    path_dependency: Callable[..., str] = <function DatasetPathParams at 0x7fcfd7b054c0>,
+    layer_dependency: Type[titiler.core.dependencies.DefaultDependency] = <class 'titiler.core.dependencies.AssetsBidxExprParams'>,
+    dataset_dependency: Type[titiler.core.dependencies.DefaultDependency] = <class 'titiler.core.dependencies.DatasetParams'>,
+    process_dependency: Callable[..., Union[titiler.core.algorithm.base.BaseAlgorithm, NoneType]] = <function Algorithms.dependency.<locals>.post_process at 0x7fcfd2907820>,
+    rescale_dependency: Callable[..., Union[List[Tuple[float, ...]], NoneType]] = <function RescalingParams at 0x7fcfd7b05ee0>,
+    color_formula_dependency: Callable[..., Union[str, NoneType]] = <function ColorFormulaParams at 0x7fcfd2c2bc10>,
+    colormap_dependency: Callable[..., Union[Dict[int, Tuple[int, int, int, int]], Sequence[Tuple[Tuple[Union[float, int], Union[float, int]], Tuple[int, int, int, int]]], NoneType]] = <function create_colormap_dependency.<locals>.deps at 0x7fcfdb97d040>,
+    render_dependency: Type[titiler.core.dependencies.DefaultDependency] = <class 'titiler.core.dependencies.ImageRenderingParams'>,
+    reader_dependency: Type[titiler.core.dependencies.DefaultDependency] = <class 'titiler.core.dependencies.DefaultDependency'>,
+    environment_dependency: Callable[..., Dict] = <function BaseTilerFactory.<lambda> at 0x7fcfd2907790>,
+    supported_tms: morecantile.defaults.TileMatrixSets = TileMatrixSets(tms={'CDB1GlobalGrid': PosixPath('/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/morecantile/data/CDB1GlobalGrid.json'), 'CanadianNAD83_LCC': PosixPath('/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/morecantile/data/CanadianNAD83_LCC.json'), 'EuropeanETRS89_LAEAQuad': PosixPath('/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/morecantile/data/EuropeanETRS89_LAEAQuad.json'), 'GNOSISGlobalGrid': PosixPath('/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/morecantile/data/GNOSISGlobalGrid.json'), 'LINZAntarticaMapTilegrid': PosixPath('/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/morecantile/data/LINZAntarticaMapTilegrid.json'), 'NZTM2000Quad': PosixPath('/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/morecantile/data/NZTM2000Quad.json'), 'UPSAntarcticWGS84Quad': PosixPath('/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/morecantile/data/UPSAntarcticWGS84Quad.json'), 'UPSArcticWGS84Quad': PosixPath('/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/morecantile/data/UPSArcticWGS84Quad.json'), 'UTM31WGS84Quad': PosixPath('/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/morecantile/data/UTM31WGS84Quad.json'), 'WGS1984Quad': PosixPath('/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/morecantile/data/WGS1984Quad.json'), 'WebMercatorQuad': <TileMatrixSet title='Google Maps Compatible for the World' id='WebMercatorQuad' crs='http://www.opengis.net/def/crs/EPSG/0/3857>, 'WorldCRS84Quad': PosixPath('/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/morecantile/data/WorldCRS84Quad.json'), 'WorldMercatorWGS84Quad': PosixPath('/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/morecantile/data/WorldMercatorWGS84Quad.json')}),
+    default_tms: str = 'WebMercatorQuad',
+    router_prefix: str = '',
+    optional_headers: List[titiler.core.resources.enums.OptionalHeader] = <factory>,
+    route_dependencies: List[Tuple[List[titiler.core.routing.EndpointScope], List[fastapi.params.Depends]]] = <factory>,
+    extensions: List[titiler.core.factory.FactoryExtension] = <factory>,
+    templates: starlette.templating.Jinja2Templates = <starlette.templating.Jinja2Templates object at 0x7fcfdecd72e0>,
+    stats_dependency: Type[titiler.core.dependencies.DefaultDependency] = <class 'titiler.core.dependencies.StatisticsParams'>,
+    histogram_dependency: Type[titiler.core.dependencies.DefaultDependency] = <class 'titiler.core.dependencies.HistogramParams'>,
+    tile_dependency: Type[titiler.core.dependencies.DefaultDependency] = <class 'titiler.core.dependencies.TileParams'>,
+    img_part_dependency: Type[titiler.core.dependencies.DefaultDependency] = <class 'titiler.core.dependencies.PartFeatureParams'>,
+    pixel_selection_dependency: Callable[..., rio_tiler.mosaic.methods.base.MosaicMethodBase] = <function PixelSelectionParams at 0x7fcfd2038ca0>,
+    pgstac_dependency: Type[titiler.core.dependencies.DefaultDependency] = <class 'titiler.pgstac.dependencies.PgSTACParams'>,
+    backend_dependency: Type[titiler.core.dependencies.DefaultDependency] = <class 'titiler.pgstac.dependencies.BackendParams'>,
+    add_statistics: bool = False,
+    add_viewer: bool = False,
+    add_part: bool = False
+)
+
+

Custom MosaicTiler for PgSTAC Mosaic Backend.

+

Ancestors (in MRO)

+
    +
  • titiler.core.factory.BaseTilerFactory
    • +
+

Class variables

+
add_part
+
+
add_statistics
+
+
add_viewer
+
+
backend_dependency
+
+
dataset_dependency
+
+
default_tms
+
+
histogram_dependency
+
+
img_part_dependency
+
+
layer_dependency
+
+
pgstac_dependency
+
+
reader
+
+
reader_dependency
+
+
render_dependency
+
+
router_prefix
+
+
stats_dependency
+
+
supported_tms
+
+
templates
+
+
tile_dependency
+
+

Methods

+

add_route_dependencies

+
def add_route_dependencies(
+    self,
+    *,
+    scopes: List[titiler.core.routing.EndpointScope],
+    dependencies=typing.List[fastapi.params.Depends]
+)
+
+

Add dependencies to routes.

+

Allows a developer to add dependencies to a route after the route has been defined.

+

color_formula_dependency

+
def color_formula_dependency(
+    color_formula: typing_extensions.Annotated[Union[str, NoneType], Query(PydanticUndefined)] = None
+) -> Union[str, NoneType]
+
+

ColorFormula Parameter.

+

colormap_dependency

+
def colormap_dependency(
+    colormap_name: typing_extensions.Annotated[Literal['summer', 'gist_ncar_r', 'jet_r', 'brg_r', 'ocean_r', 'rdylbu_r', 'curl_r', 'twilight_r', 'flag_r', 'rdylbu', 'twilight_shifted', 'turbid_r', 'gist_stern_r', 'set1', 'brbg', 'ylorbr_r', 'viridis_r', 'tab20_r', 'tarn_r', 'viridis', 'amp_r', 'pubugn', 'bupu', 'jet', 'prism', 'ylgnbu', 'topo_r', 'ice', 'pubugn_r', 'hot_r', 'greys', 'gist_rainbow_r', 'reds_r', 'greens', 'autumn_r', 'nipy_spectral', 'cmrmap', 'accent_r', 'ylorrd', 'greys_r', 'terrain', 'rainbow', 'oxy_r', 'autumn', 'deep_r', 'twilight', 'pastel1', 'ocean', 'matter', 'phase', 'set3', 'pink_r', 'oranges_r', 'tab10', 'tab20c_r', 'balance_r', 'seismic', 'set2', 'dark2', 'afmhot', 'purd_r', 'puor', 'gnuplot_r', 'paired', 'turbo', 'tab10_r', 'coolwarm', 'gnbu', 'set1_r', 'diff', 'blues', 'gist_earth_r', 'solar_r', 'tarn', 'balance', 'tempo_r', 'ylorrd_r', 'paired_r', 'gist_heat_r', 'plasma', 'solar', 'cubehelix', 'gist_gray', 'brbg_r', 'magma_r', 'deep', 'binary', 'purd', 'magma', 'diff_r', 'cfastie', 'wistia_r', 'bupu_r', 'twilight_shifted_r', 'oranges', 'gist_yarg', 'prgn', 'gist_ncar', 'binary_r', 'wistia', 'ylgn_r', 'greens_r', 'blues_r', 'gray', 'turbid', 'rplumbo', 'dark2_r', 'topo', 'bwr', 'delta', 'speed_r', 'speed', 'gist_stern', 'inferno_r', 'puor_r', 'pubu', 'afmhot_r', 'gnbu_r', 'purples', 'ice_r', 'bugn_r', 'orrd_r', 'reds', 'pastel2_r', 'matter_r', 'inferno', 'gist_gray_r', 'rdbu', 'spectral_r', 'seismic_r', 'pink', 'summer_r', 'phase_r', 'piyg', 'copper_r', 'spring_r', 'algae_r', 'rdylgn', 'bugn', 'gist_heat', 'cubehelix_r', 'cmrmap_r', 'tab20', 'rain', 'rdylgn_r', 'amp', 'thermal', 'ylorbr', 'haline_r', 'bone_r', 'curl', 'ylgn', 'brg', 'ylgnbu_r', 'set2_r', 'dense', 'rdgy_r', 'tab20b_r', 'tab20c', 'prism_r', 'spring', 'gnuplot', 'pubu_r', 'purples_r', 'nipy_spectral_r', 'copper', 'prgn_r', 'bone', 'tab20b', 'rdpu', 'schwarzwald', 'oxy', 'terrain_r', 'coolwarm_r', 'cividis_r', 'gist_yarg_r', 'flag', 'rdbu_r', 'gist_rainbow', 'rain_r', 'cool_r', 'spectral', 'hsv', 'cool', 'thermal_r', 'dense_r', 'winter_r', 'set3_r', 'orrd', 'plasma_r', 'piyg_r', 'gist_earth', 'hot', 'gnuplot2', 'hsv_r', 'algae', 'pastel2', 'rainbow_r', 'gray_r', 'tempo', 'bwr_r', 'rdpu_r', 'pastel1_r', 'winter', 'accent', 'gnuplot2_r', 'turbo_r', 'haline', 'rdgy', 'delta_r', 'cividis'], Query(PydanticUndefined)] = None,
+    colormap: typing_extensions.Annotated[Union[str, NoneType], Query(PydanticUndefined)] = None
+)
+
+

environment_dependency

+
def environment_dependency(
+
+)
+
+

path_dependency

+
def path_dependency(
+    url: typing_extensions.Annotated[str, Query(PydanticUndefined)]
+) -> str
+
+

Create dataset path from args

+

pixel_selection_dependency

+
def pixel_selection_dependency(
+    pixel_selection: typing_extensions.Annotated[Literal['first', 'highest', 'lowest', 'mean', 'median', 'stdev', 'lastbandlow', 'lastbandhight'], Query(PydanticUndefined)] = 'first'
+) -> rio_tiler.mosaic.methods.base.MosaicMethodBase
+
+

Returns the mosaic method used to combine datasets together.

+

process_dependency

+
def process_dependency(
+    algorithm: typing_extensions.Annotated[Literal['hillshade', 'contours', 'normalizedIndex', 'terrarium', 'terrainrgb'], Query(PydanticUndefined)] = None,
+    algorithm_params: typing_extensions.Annotated[Union[str, NoneType], Query(PydanticUndefined)] = None
+) -> Union[titiler.core.algorithm.base.BaseAlgorithm, NoneType]
+
+

Data Post-Processing options.

+

register_routes

+
def register_routes(
+    self
+) -> None
+
+

This Method register routes to the router.

+

rescale_dependency

+
def rescale_dependency(
+    rescale: typing_extensions.Annotated[Union[List[str], NoneType], Query(PydanticUndefined)] = None
+) -> Union[List[Tuple[float, ...]], NoneType]
+
+

Min/Max data Rescaling

+

url_for

+
def url_for(
+    self,
+    request: starlette.requests.Request,
+    name: str,
+    **path_params: Any
+) -> str
+
+

Return full url (with prefix) for a specific endpoint.

+ + + + + + +
+
+ + +
+ +
+ + + +
+
+
+
+ + + + + + + + + + \ No newline at end of file diff --git a/1.0.0/api/titiler/pgstac/model/index.html b/1.0.0/api/titiler/pgstac/model/index.html new file mode 100644 index 00000000..2b6a52e2 --- /dev/null +++ b/1.0.0/api/titiler/pgstac/model/index.html @@ -0,0 +1,12940 @@ + + + + + + + + + + + + + + + + + + + + model - TiTiler.PgSTAC + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ +
+ + + + + + +
+ + +
+ +
+ + + + + + +
+
+ + + +
+
+
+ + + + +
+
+
+ + + +
+
+
+ + + +
+
+
+ + + +
+
+ + + + + + + + + +

Module titiler.pgstac.model

+

Titiler.pgstac models.

+

Note: This is mostly a copy of github.com/stac-utils/stac-fastapi/blob/master/stac_fastapi/pgstac/stac_fastapi/pgstac/types/search.py

+

Variables

+
FilterLang
+
+
Operator
+
+

Classes

+

Context

+
class Context(
+    __pydantic_self__,
+    **data: 'Any'
+)
+
+

Context Model.

+

Ancestors (in MRO)

+
    +
  • pydantic.main.BaseModel
    • +
+

Class variables

+
model_config
+
+
model_fields
+
+

Static methods

+

construct

+
def construct(
+    _fields_set: 'set[str] | None' = None,
+    **values: 'Any'
+) -> 'Model'
+
+

from_orm

+
def from_orm(
+    obj: 'Any'
+) -> 'Model'
+
+

model_construct

+
def model_construct(
+    _fields_set: 'set[str] | None' = None,
+    **values: 'Any'
+) -> 'Model'
+
+

Creates a new instance of the Model class with validated data.

+

Creates a new model setting __dict__ and __pydantic_fields_set__ from trusted or pre-validated data. +Default values are respected, but no other validation is performed. +Behaves as if Config.extra = 'allow' was set since it adds all passed values

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
_fields_setNoneThe set of field names accepted for the Model instance.None
valuesNoneTrusted or pre-validated data dictionary.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneA new instance of the Model class with validated data.
+

model_json_schema

+
def model_json_schema(
+    by_alias: 'bool' = True,
+    ref_template: 'str' = '#/$defs/{model}',
+    schema_generator: 'type[GenerateJsonSchema]' = <class 'pydantic.json_schema.GenerateJsonSchema'>,
+    mode: 'JsonSchemaMode' = 'validation'
+) -> 'dict[str, Any]'
+
+

Generates a JSON schema for a model class.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
by_aliasNoneWhether to use attribute aliases or not.None
ref_templateNoneThe reference template.None
schema_generatorNoneTo override the logic used to generate the JSON schema, as a subclass of
GenerateJsonSchema with your desired modifications		None
modeNoneThe mode in which to generate the schema.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneThe JSON schema for the given model class.
+

model_parametrized_name

+
def model_parametrized_name(
+    params: 'tuple[type[Any], ...]'
+) -> 'str'
+
+

Compute the class name for parametrizations of generic classes.

+

This method can be overridden to achieve a custom naming scheme for generic BaseModels.

+

Parameters:

+ + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
paramsNoneTuple of types of the class. Given a generic class
Model with 2 type variables and a concrete model Model[str, int],
the value (str, int) would be passed to params.		None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneString representing the new class where params are passed to cls as type variables.
+

Raises:

+ + + + + + + + + + + + + +
TypeDescription
TypeErrorRaised when trying to generate concrete names for non-generic models.
+

model_rebuild

+
def model_rebuild(
+    *,
+    force: 'bool' = False,
+    raise_errors: 'bool' = True,
+    _parent_namespace_depth: 'int' = 2,
+    _types_namespace: 'dict[str, Any] | None' = None
+) -> 'bool | None'
+
+

Try to rebuild the pydantic-core schema for the model.

+

This may be necessary when one of the annotations is a ForwardRef which could not be resolved during +the initial attempt to build the schema, and automatic rebuilding fails.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
forceNoneWhether to force the rebuilding of the model schema, defaults to False.None
raise_errorsNoneWhether to raise errors, defaults to True.None
_parent_namespace_depthNoneThe depth level of the parent namespace, defaults to 2.None
_types_namespaceNoneThe types namespace, defaults to None.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneReturns None if the schema is already "complete" and rebuilding was not required.
If rebuilding was required, returns True if rebuilding was successful, otherwise False.
+

model_validate

+
def model_validate(
+    obj: 'Any',
+    *,
+    strict: 'bool | None' = None,
+    from_attributes: 'bool | None' = None,
+    context: 'dict[str, Any] | None' = None
+) -> 'Model'
+
+

Validate a pydantic model instance.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
objNoneThe object to validate.None
strictNoneWhether to raise an exception on invalid fields.None
from_attributesNoneWhether to extract data from object attributes.None
contextNoneAdditional context to pass to the validator.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneThe validated model instance.
+

Raises:

+ + + + + + + + + + + + + +
TypeDescription
ValidationErrorIf the object could not be validated.
+

model_validate_json

+
def model_validate_json(
+    json_data: 'str | bytes | bytearray',
+    *,
+    strict: 'bool | None' = None,
+    context: 'dict[str, Any] | None' = None
+) -> 'Model'
+
+

Usage docs: docs.pydantic.dev/2.5/concepts/json/#json-parsing

+

Validate the given JSON data against the Pydantic model.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
json_dataNoneThe JSON data to validate.None
strictNoneWhether to enforce types strictly.None
contextNoneExtra variables to pass to the validator.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneThe validated Pydantic model.
+

Raises:

+ + + + + + + + + + + + + +
TypeDescription
ValueErrorIf json_data is not a JSON string.
+

model_validate_strings

+
def model_validate_strings(
+    obj: 'Any',
+    *,
+    strict: 'bool | None' = None,
+    context: 'dict[str, Any] | None' = None
+) -> 'Model'
+
+

Validate the given object contains string data against the Pydantic model.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
objNoneThe object contains string data to validate.None
strictNoneWhether to enforce types strictly.None
contextNoneExtra variables to pass to the validator.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneThe validated Pydantic model.
+

parse_file

+
def parse_file(
+    path: 'str | Path',
+    *,
+    content_type: 'str | None' = None,
+    encoding: 'str' = 'utf8',
+    proto: 'DeprecatedParseProtocol | None' = None,
+    allow_pickle: 'bool' = False
+) -> 'Model'
+
+

parse_obj

+
def parse_obj(
+    obj: 'Any'
+) -> 'Model'
+
+

parse_raw

+
def parse_raw(
+    b: 'str | bytes',
+    *,
+    content_type: 'str | None' = None,
+    encoding: 'str' = 'utf8',
+    proto: 'DeprecatedParseProtocol | None' = None,
+    allow_pickle: 'bool' = False
+) -> 'Model'
+
+

schema

+
def schema(
+    by_alias: 'bool' = True,
+    ref_template: 'str' = '#/$defs/{model}'
+) -> 'typing.Dict[str, Any]'
+
+

schema_json

+
def schema_json(
+    *,
+    by_alias: 'bool' = True,
+    ref_template: 'str' = '#/$defs/{model}',
+    **dumps_kwargs: 'Any'
+) -> 'str'
+
+

update_forward_refs

+
def update_forward_refs(
+    **localns: 'Any'
+) -> 'None'
+
+

validate

+
def validate(
+    value: 'Any'
+) -> 'Model'
+
+

validate_limit

+
def validate_limit(
+    v,
+    info: pydantic_core.core_schema.ValidationInfo
+)
+
+

validate limit.

+

Instance variables

+
model_computed_fields
+
+

Get the computed fields of this model instance.

+
model_extra
+
+

Get extra fields set during validation.

+
model_fields_set
+
+

Returns the set of fields that have been explicitly set on this model instance.

+

Methods

+

copy

+
def copy(
+    self: 'Model',
+    *,
+    include: 'AbstractSetIntStr | MappingIntStrAny | None' = None,
+    exclude: 'AbstractSetIntStr | MappingIntStrAny | None' = None,
+    update: 'typing.Dict[str, Any] | None' = None,
+    deep: 'bool' = False
+) -> 'Model'
+
+

Returns a copy of the model.

+
+

Deprecated

+

This method is now deprecated; use model_copy instead.

+
+

If you need include or exclude, use:

+
data = self.model_dump(include=include, exclude=exclude, round_trip=True)
+data = {**data, **(update or {})}
+copied = self.model_validate(data)
+
+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
includeNoneOptional set or mapping
specifying which fields to include in the copied model.		None
excludeNoneOptional set or mapping
specifying which fields to exclude in the copied model.		None
updateNoneOptional dictionary of field-value pairs to override field values
in the copied model.		None
deepNoneIf True, the values of fields that are Pydantic models will be deep copied.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneA copy of the model with included, excluded and updated fields as specified.
+

dict

+
def dict(
+    self,
+    *,
+    include: 'IncEx' = None,
+    exclude: 'IncEx' = None,
+    by_alias: 'bool' = False,
+    exclude_unset: 'bool' = False,
+    exclude_defaults: 'bool' = False,
+    exclude_none: 'bool' = False
+) -> 'typing.Dict[str, Any]'
+
+

json

+
def json(
+    self,
+    *,
+    include: 'IncEx' = None,
+    exclude: 'IncEx' = None,
+    by_alias: 'bool' = False,
+    exclude_unset: 'bool' = False,
+    exclude_defaults: 'bool' = False,
+    exclude_none: 'bool' = False,
+    encoder: 'typing.Callable[[Any], Any] | None' = PydanticUndefined,
+    models_as_dict: 'bool' = PydanticUndefined,
+    **dumps_kwargs: 'Any'
+) -> 'str'
+
+

model_copy

+
def model_copy(
+    self: 'Model',
+    *,
+    update: 'dict[str, Any] | None' = None,
+    deep: 'bool' = False
+) -> 'Model'
+
+

Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#model_copy

+

Returns a copy of the model.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
updateNoneValues to change/add in the new model. Note: the data is not validated
before creating the new model. You should trust this data.		None
deepNoneSet to True to make a deep copy of the model.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneNew model instance.
+

model_dump

+
def model_dump(
+    self,
+    *,
+    mode: "Literal[('json', 'python')] | str" = 'python',
+    include: 'IncEx' = None,
+    exclude: 'IncEx' = None,
+    by_alias: 'bool' = False,
+    exclude_unset: 'bool' = False,
+    exclude_defaults: 'bool' = False,
+    exclude_none: 'bool' = False,
+    round_trip: 'bool' = False,
+    warnings: 'bool' = True
+) -> 'dict[str, Any]'
+
+

Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#modelmodel_dump

+

Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
modeNoneThe mode in which to_python should run.
If mode is 'json', the dictionary will only contain JSON serializable types.
If mode is 'python', the dictionary may contain any Python objects.		None
includeNoneA list of fields to include in the output.None
excludeNoneA list of fields to exclude from the output.None
by_aliasNoneWhether to use the field's alias in the dictionary key if defined.None
exclude_unsetNoneWhether to exclude fields that have not been explicitly set.None
exclude_defaultsNoneWhether to exclude fields that are set to their default value from the output.None
exclude_noneNoneWhether to exclude fields that have a value of None from the output.None
round_tripNoneWhether to enable serialization and deserialization round-trip support.None
warningsNoneWhether to log warnings when invalid fields are encountered.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneA dictionary representation of the model.
+

model_dump_json

+
def model_dump_json(
+    self,
+    *,
+    indent: 'int | None' = None,
+    include: 'IncEx' = None,
+    exclude: 'IncEx' = None,
+    by_alias: 'bool' = False,
+    exclude_unset: 'bool' = False,
+    exclude_defaults: 'bool' = False,
+    exclude_none: 'bool' = False,
+    round_trip: 'bool' = False,
+    warnings: 'bool' = True
+) -> 'str'
+
+

Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#modelmodel_dump_json

+

Generates a JSON representation of the model using Pydantic's to_json method.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
indentNoneIndentation to use in the JSON output. If None is passed, the output will be compact.None
includeNoneField(s) to include in the JSON output. Can take either a string or set of strings.None
excludeNoneField(s) to exclude from the JSON output. Can take either a string or set of strings.None
by_aliasNoneWhether to serialize using field aliases.None
exclude_unsetNoneWhether to exclude fields that have not been explicitly set.None
exclude_defaultsNoneWhether to exclude fields that have the default value.None
exclude_noneNoneWhether to exclude fields that have a value of None.None
round_tripNoneWhether to use serialization/deserialization between JSON and class instance.None
warningsNoneWhether to show any warnings that occurred during serialization.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneA JSON string representation of the model.
+

model_post_init

+
def model_post_init(
+    self,
+    _BaseModel__context: 'Any'
+) -> 'None'
+
+

Override this method to perform additional initialization after __init__ and model_construct.

+

This is useful if you want to do some validation that requires the entire model to be initialized.

+

Info

+
class Info(
+    __pydantic_self__,
+    **data: 'Any'
+)
+
+

Response model for /info endpoint.

+

Ancestors (in MRO)

+
    +
  • pydantic.main.BaseModel
    • +
+

Class variables

+
model_config
+
+
model_fields
+
+

Static methods

+

construct

+
def construct(
+    _fields_set: 'set[str] | None' = None,
+    **values: 'Any'
+) -> 'Model'
+
+

from_orm

+
def from_orm(
+    obj: 'Any'
+) -> 'Model'
+
+

model_construct

+
def model_construct(
+    _fields_set: 'set[str] | None' = None,
+    **values: 'Any'
+) -> 'Model'
+
+

Creates a new instance of the Model class with validated data.

+

Creates a new model setting __dict__ and __pydantic_fields_set__ from trusted or pre-validated data. +Default values are respected, but no other validation is performed. +Behaves as if Config.extra = 'allow' was set since it adds all passed values

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
_fields_setNoneThe set of field names accepted for the Model instance.None
valuesNoneTrusted or pre-validated data dictionary.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneA new instance of the Model class with validated data.
+

model_json_schema

+
def model_json_schema(
+    by_alias: 'bool' = True,
+    ref_template: 'str' = '#/$defs/{model}',
+    schema_generator: 'type[GenerateJsonSchema]' = <class 'pydantic.json_schema.GenerateJsonSchema'>,
+    mode: 'JsonSchemaMode' = 'validation'
+) -> 'dict[str, Any]'
+
+

Generates a JSON schema for a model class.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
by_aliasNoneWhether to use attribute aliases or not.None
ref_templateNoneThe reference template.None
schema_generatorNoneTo override the logic used to generate the JSON schema, as a subclass of
GenerateJsonSchema with your desired modifications		None
modeNoneThe mode in which to generate the schema.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneThe JSON schema for the given model class.
+

model_parametrized_name

+
def model_parametrized_name(
+    params: 'tuple[type[Any], ...]'
+) -> 'str'
+
+

Compute the class name for parametrizations of generic classes.

+

This method can be overridden to achieve a custom naming scheme for generic BaseModels.

+

Parameters:

+ + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
paramsNoneTuple of types of the class. Given a generic class
Model with 2 type variables and a concrete model Model[str, int],
the value (str, int) would be passed to params.		None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneString representing the new class where params are passed to cls as type variables.
+

Raises:

+ + + + + + + + + + + + + +
TypeDescription
TypeErrorRaised when trying to generate concrete names for non-generic models.
+

model_rebuild

+
def model_rebuild(
+    *,
+    force: 'bool' = False,
+    raise_errors: 'bool' = True,
+    _parent_namespace_depth: 'int' = 2,
+    _types_namespace: 'dict[str, Any] | None' = None
+) -> 'bool | None'
+
+

Try to rebuild the pydantic-core schema for the model.

+

This may be necessary when one of the annotations is a ForwardRef which could not be resolved during +the initial attempt to build the schema, and automatic rebuilding fails.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
forceNoneWhether to force the rebuilding of the model schema, defaults to False.None
raise_errorsNoneWhether to raise errors, defaults to True.None
_parent_namespace_depthNoneThe depth level of the parent namespace, defaults to 2.None
_types_namespaceNoneThe types namespace, defaults to None.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneReturns None if the schema is already "complete" and rebuilding was not required.
If rebuilding was required, returns True if rebuilding was successful, otherwise False.
+

model_validate

+
def model_validate(
+    obj: 'Any',
+    *,
+    strict: 'bool | None' = None,
+    from_attributes: 'bool | None' = None,
+    context: 'dict[str, Any] | None' = None
+) -> 'Model'
+
+

Validate a pydantic model instance.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
objNoneThe object to validate.None
strictNoneWhether to raise an exception on invalid fields.None
from_attributesNoneWhether to extract data from object attributes.None
contextNoneAdditional context to pass to the validator.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneThe validated model instance.
+

Raises:

+ + + + + + + + + + + + + +
TypeDescription
ValidationErrorIf the object could not be validated.
+

model_validate_json

+
def model_validate_json(
+    json_data: 'str | bytes | bytearray',
+    *,
+    strict: 'bool | None' = None,
+    context: 'dict[str, Any] | None' = None
+) -> 'Model'
+
+

Usage docs: docs.pydantic.dev/2.5/concepts/json/#json-parsing

+

Validate the given JSON data against the Pydantic model.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
json_dataNoneThe JSON data to validate.None
strictNoneWhether to enforce types strictly.None
contextNoneExtra variables to pass to the validator.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneThe validated Pydantic model.
+

Raises:

+ + + + + + + + + + + + + +
TypeDescription
ValueErrorIf json_data is not a JSON string.
+

model_validate_strings

+
def model_validate_strings(
+    obj: 'Any',
+    *,
+    strict: 'bool | None' = None,
+    context: 'dict[str, Any] | None' = None
+) -> 'Model'
+
+

Validate the given object contains string data against the Pydantic model.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
objNoneThe object contains string data to validate.None
strictNoneWhether to enforce types strictly.None
contextNoneExtra variables to pass to the validator.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneThe validated Pydantic model.
+

parse_file

+
def parse_file(
+    path: 'str | Path',
+    *,
+    content_type: 'str | None' = None,
+    encoding: 'str' = 'utf8',
+    proto: 'DeprecatedParseProtocol | None' = None,
+    allow_pickle: 'bool' = False
+) -> 'Model'
+
+

parse_obj

+
def parse_obj(
+    obj: 'Any'
+) -> 'Model'
+
+

parse_raw

+
def parse_raw(
+    b: 'str | bytes',
+    *,
+    content_type: 'str | None' = None,
+    encoding: 'str' = 'utf8',
+    proto: 'DeprecatedParseProtocol | None' = None,
+    allow_pickle: 'bool' = False
+) -> 'Model'
+
+

schema

+
def schema(
+    by_alias: 'bool' = True,
+    ref_template: 'str' = '#/$defs/{model}'
+) -> 'typing.Dict[str, Any]'
+
+

schema_json

+
def schema_json(
+    *,
+    by_alias: 'bool' = True,
+    ref_template: 'str' = '#/$defs/{model}',
+    **dumps_kwargs: 'Any'
+) -> 'str'
+
+

update_forward_refs

+
def update_forward_refs(
+    **localns: 'Any'
+) -> 'None'
+
+

validate

+
def validate(
+    value: 'Any'
+) -> 'Model'
+
+

Instance variables

+
model_computed_fields
+
+

Get the computed fields of this model instance.

+
model_extra
+
+

Get extra fields set during validation.

+
model_fields_set
+
+

Returns the set of fields that have been explicitly set on this model instance.

+

Methods

+

copy

+
def copy(
+    self: 'Model',
+    *,
+    include: 'AbstractSetIntStr | MappingIntStrAny | None' = None,
+    exclude: 'AbstractSetIntStr | MappingIntStrAny | None' = None,
+    update: 'typing.Dict[str, Any] | None' = None,
+    deep: 'bool' = False
+) -> 'Model'
+
+

Returns a copy of the model.

+
+

Deprecated

+

This method is now deprecated; use model_copy instead.

+
+

If you need include or exclude, use:

+
data = self.model_dump(include=include, exclude=exclude, round_trip=True)
+data = {**data, **(update or {})}
+copied = self.model_validate(data)
+
+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
includeNoneOptional set or mapping
specifying which fields to include in the copied model.		None
excludeNoneOptional set or mapping
specifying which fields to exclude in the copied model.		None
updateNoneOptional dictionary of field-value pairs to override field values
in the copied model.		None
deepNoneIf True, the values of fields that are Pydantic models will be deep copied.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneA copy of the model with included, excluded and updated fields as specified.
+

dict

+
def dict(
+    self,
+    *,
+    include: 'IncEx' = None,
+    exclude: 'IncEx' = None,
+    by_alias: 'bool' = False,
+    exclude_unset: 'bool' = False,
+    exclude_defaults: 'bool' = False,
+    exclude_none: 'bool' = False
+) -> 'typing.Dict[str, Any]'
+
+

json

+
def json(
+    self,
+    *,
+    include: 'IncEx' = None,
+    exclude: 'IncEx' = None,
+    by_alias: 'bool' = False,
+    exclude_unset: 'bool' = False,
+    exclude_defaults: 'bool' = False,
+    exclude_none: 'bool' = False,
+    encoder: 'typing.Callable[[Any], Any] | None' = PydanticUndefined,
+    models_as_dict: 'bool' = PydanticUndefined,
+    **dumps_kwargs: 'Any'
+) -> 'str'
+
+

model_copy

+
def model_copy(
+    self: 'Model',
+    *,
+    update: 'dict[str, Any] | None' = None,
+    deep: 'bool' = False
+) -> 'Model'
+
+

Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#model_copy

+

Returns a copy of the model.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
updateNoneValues to change/add in the new model. Note: the data is not validated
before creating the new model. You should trust this data.		None
deepNoneSet to True to make a deep copy of the model.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneNew model instance.
+

model_dump

+
def model_dump(
+    self,
+    *,
+    mode: "Literal[('json', 'python')] | str" = 'python',
+    include: 'IncEx' = None,
+    exclude: 'IncEx' = None,
+    by_alias: 'bool' = False,
+    exclude_unset: 'bool' = False,
+    exclude_defaults: 'bool' = False,
+    exclude_none: 'bool' = False,
+    round_trip: 'bool' = False,
+    warnings: 'bool' = True
+) -> 'dict[str, Any]'
+
+

Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#modelmodel_dump

+

Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
modeNoneThe mode in which to_python should run.
If mode is 'json', the dictionary will only contain JSON serializable types.
If mode is 'python', the dictionary may contain any Python objects.		None
includeNoneA list of fields to include in the output.None
excludeNoneA list of fields to exclude from the output.None
by_aliasNoneWhether to use the field's alias in the dictionary key if defined.None
exclude_unsetNoneWhether to exclude fields that have not been explicitly set.None
exclude_defaultsNoneWhether to exclude fields that are set to their default value from the output.None
exclude_noneNoneWhether to exclude fields that have a value of None from the output.None
round_tripNoneWhether to enable serialization and deserialization round-trip support.None
warningsNoneWhether to log warnings when invalid fields are encountered.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneA dictionary representation of the model.
+

model_dump_json

+
def model_dump_json(
+    self,
+    *,
+    indent: 'int | None' = None,
+    include: 'IncEx' = None,
+    exclude: 'IncEx' = None,
+    by_alias: 'bool' = False,
+    exclude_unset: 'bool' = False,
+    exclude_defaults: 'bool' = False,
+    exclude_none: 'bool' = False,
+    round_trip: 'bool' = False,
+    warnings: 'bool' = True
+) -> 'str'
+
+

Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#modelmodel_dump_json

+

Generates a JSON representation of the model using Pydantic's to_json method.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
indentNoneIndentation to use in the JSON output. If None is passed, the output will be compact.None
includeNoneField(s) to include in the JSON output. Can take either a string or set of strings.None
excludeNoneField(s) to exclude from the JSON output. Can take either a string or set of strings.None
by_aliasNoneWhether to serialize using field aliases.None
exclude_unsetNoneWhether to exclude fields that have not been explicitly set.None
exclude_defaultsNoneWhether to exclude fields that have the default value.None
exclude_noneNoneWhether to exclude fields that have a value of None.None
round_tripNoneWhether to use serialization/deserialization between JSON and class instance.None
warningsNoneWhether to show any warnings that occurred during serialization.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneA JSON string representation of the model.
+

model_post_init

+
def model_post_init(
+    self,
+    _BaseModel__context: 'Any'
+) -> 'None'
+
+

Override this method to perform additional initialization after __init__ and model_construct.

+

This is useful if you want to do some validation that requires the entire model to be initialized.

+

Infos

+
class Infos(
+    __pydantic_self__,
+    **data: 'Any'
+)
+
+

Response model for /list endpoint.

+

Ancestors (in MRO)

+
    +
  • pydantic.main.BaseModel
    • +
+

Class variables

+
model_config
+
+
model_fields
+
+

Static methods

+

construct

+
def construct(
+    _fields_set: 'set[str] | None' = None,
+    **values: 'Any'
+) -> 'Model'
+
+

from_orm

+
def from_orm(
+    obj: 'Any'
+) -> 'Model'
+
+

model_construct

+
def model_construct(
+    _fields_set: 'set[str] | None' = None,
+    **values: 'Any'
+) -> 'Model'
+
+

Creates a new instance of the Model class with validated data.

+

Creates a new model setting __dict__ and __pydantic_fields_set__ from trusted or pre-validated data. +Default values are respected, but no other validation is performed. +Behaves as if Config.extra = 'allow' was set since it adds all passed values

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
_fields_setNoneThe set of field names accepted for the Model instance.None
valuesNoneTrusted or pre-validated data dictionary.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneA new instance of the Model class with validated data.
+

model_json_schema

+
def model_json_schema(
+    by_alias: 'bool' = True,
+    ref_template: 'str' = '#/$defs/{model}',
+    schema_generator: 'type[GenerateJsonSchema]' = <class 'pydantic.json_schema.GenerateJsonSchema'>,
+    mode: 'JsonSchemaMode' = 'validation'
+) -> 'dict[str, Any]'
+
+

Generates a JSON schema for a model class.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
by_aliasNoneWhether to use attribute aliases or not.None
ref_templateNoneThe reference template.None
schema_generatorNoneTo override the logic used to generate the JSON schema, as a subclass of
GenerateJsonSchema with your desired modifications		None
modeNoneThe mode in which to generate the schema.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneThe JSON schema for the given model class.
+

model_parametrized_name

+
def model_parametrized_name(
+    params: 'tuple[type[Any], ...]'
+) -> 'str'
+
+

Compute the class name for parametrizations of generic classes.

+

This method can be overridden to achieve a custom naming scheme for generic BaseModels.

+

Parameters:

+ + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
paramsNoneTuple of types of the class. Given a generic class
Model with 2 type variables and a concrete model Model[str, int],
the value (str, int) would be passed to params.		None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneString representing the new class where params are passed to cls as type variables.
+

Raises:

+ + + + + + + + + + + + + +
TypeDescription
TypeErrorRaised when trying to generate concrete names for non-generic models.
+

model_rebuild

+
def model_rebuild(
+    *,
+    force: 'bool' = False,
+    raise_errors: 'bool' = True,
+    _parent_namespace_depth: 'int' = 2,
+    _types_namespace: 'dict[str, Any] | None' = None
+) -> 'bool | None'
+
+

Try to rebuild the pydantic-core schema for the model.

+

This may be necessary when one of the annotations is a ForwardRef which could not be resolved during +the initial attempt to build the schema, and automatic rebuilding fails.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
forceNoneWhether to force the rebuilding of the model schema, defaults to False.None
raise_errorsNoneWhether to raise errors, defaults to True.None
_parent_namespace_depthNoneThe depth level of the parent namespace, defaults to 2.None
_types_namespaceNoneThe types namespace, defaults to None.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneReturns None if the schema is already "complete" and rebuilding was not required.
If rebuilding was required, returns True if rebuilding was successful, otherwise False.
+

model_validate

+
def model_validate(
+    obj: 'Any',
+    *,
+    strict: 'bool | None' = None,
+    from_attributes: 'bool | None' = None,
+    context: 'dict[str, Any] | None' = None
+) -> 'Model'
+
+

Validate a pydantic model instance.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
objNoneThe object to validate.None
strictNoneWhether to raise an exception on invalid fields.None
from_attributesNoneWhether to extract data from object attributes.None
contextNoneAdditional context to pass to the validator.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneThe validated model instance.
+

Raises:

+ + + + + + + + + + + + + +
TypeDescription
ValidationErrorIf the object could not be validated.
+

model_validate_json

+
def model_validate_json(
+    json_data: 'str | bytes | bytearray',
+    *,
+    strict: 'bool | None' = None,
+    context: 'dict[str, Any] | None' = None
+) -> 'Model'
+
+

Usage docs: docs.pydantic.dev/2.5/concepts/json/#json-parsing

+

Validate the given JSON data against the Pydantic model.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
json_dataNoneThe JSON data to validate.None
strictNoneWhether to enforce types strictly.None
contextNoneExtra variables to pass to the validator.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneThe validated Pydantic model.
+

Raises:

+ + + + + + + + + + + + + +
TypeDescription
ValueErrorIf json_data is not a JSON string.
+

model_validate_strings

+
def model_validate_strings(
+    obj: 'Any',
+    *,
+    strict: 'bool | None' = None,
+    context: 'dict[str, Any] | None' = None
+) -> 'Model'
+
+

Validate the given object contains string data against the Pydantic model.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
objNoneThe object contains string data to validate.None
strictNoneWhether to enforce types strictly.None
contextNoneExtra variables to pass to the validator.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneThe validated Pydantic model.
+

parse_file

+
def parse_file(
+    path: 'str | Path',
+    *,
+    content_type: 'str | None' = None,
+    encoding: 'str' = 'utf8',
+    proto: 'DeprecatedParseProtocol | None' = None,
+    allow_pickle: 'bool' = False
+) -> 'Model'
+
+

parse_obj

+
def parse_obj(
+    obj: 'Any'
+) -> 'Model'
+
+

parse_raw

+
def parse_raw(
+    b: 'str | bytes',
+    *,
+    content_type: 'str | None' = None,
+    encoding: 'str' = 'utf8',
+    proto: 'DeprecatedParseProtocol | None' = None,
+    allow_pickle: 'bool' = False
+) -> 'Model'
+
+

schema

+
def schema(
+    by_alias: 'bool' = True,
+    ref_template: 'str' = '#/$defs/{model}'
+) -> 'typing.Dict[str, Any]'
+
+

schema_json

+
def schema_json(
+    *,
+    by_alias: 'bool' = True,
+    ref_template: 'str' = '#/$defs/{model}',
+    **dumps_kwargs: 'Any'
+) -> 'str'
+
+

update_forward_refs

+
def update_forward_refs(
+    **localns: 'Any'
+) -> 'None'
+
+

validate

+
def validate(
+    value: 'Any'
+) -> 'Model'
+
+

Instance variables

+
model_computed_fields
+
+

Get the computed fields of this model instance.

+
model_extra
+
+

Get extra fields set during validation.

+
model_fields_set
+
+

Returns the set of fields that have been explicitly set on this model instance.

+

Methods

+

copy

+
def copy(
+    self: 'Model',
+    *,
+    include: 'AbstractSetIntStr | MappingIntStrAny | None' = None,
+    exclude: 'AbstractSetIntStr | MappingIntStrAny | None' = None,
+    update: 'typing.Dict[str, Any] | None' = None,
+    deep: 'bool' = False
+) -> 'Model'
+
+

Returns a copy of the model.

+
+

Deprecated

+

This method is now deprecated; use model_copy instead.

+
+

If you need include or exclude, use:

+
data = self.model_dump(include=include, exclude=exclude, round_trip=True)
+data = {**data, **(update or {})}
+copied = self.model_validate(data)
+
+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
includeNoneOptional set or mapping
specifying which fields to include in the copied model.		None
excludeNoneOptional set or mapping
specifying which fields to exclude in the copied model.		None
updateNoneOptional dictionary of field-value pairs to override field values
in the copied model.		None
deepNoneIf True, the values of fields that are Pydantic models will be deep copied.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneA copy of the model with included, excluded and updated fields as specified.
+

dict

+
def dict(
+    self,
+    *,
+    include: 'IncEx' = None,
+    exclude: 'IncEx' = None,
+    by_alias: 'bool' = False,
+    exclude_unset: 'bool' = False,
+    exclude_defaults: 'bool' = False,
+    exclude_none: 'bool' = False
+) -> 'typing.Dict[str, Any]'
+
+

json

+
def json(
+    self,
+    *,
+    include: 'IncEx' = None,
+    exclude: 'IncEx' = None,
+    by_alias: 'bool' = False,
+    exclude_unset: 'bool' = False,
+    exclude_defaults: 'bool' = False,
+    exclude_none: 'bool' = False,
+    encoder: 'typing.Callable[[Any], Any] | None' = PydanticUndefined,
+    models_as_dict: 'bool' = PydanticUndefined,
+    **dumps_kwargs: 'Any'
+) -> 'str'
+
+

model_copy

+
def model_copy(
+    self: 'Model',
+    *,
+    update: 'dict[str, Any] | None' = None,
+    deep: 'bool' = False
+) -> 'Model'
+
+

Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#model_copy

+

Returns a copy of the model.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
updateNoneValues to change/add in the new model. Note: the data is not validated
before creating the new model. You should trust this data.		None
deepNoneSet to True to make a deep copy of the model.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneNew model instance.
+

model_dump

+
def model_dump(
+    self,
+    *,
+    mode: "Literal[('json', 'python')] | str" = 'python',
+    include: 'IncEx' = None,
+    exclude: 'IncEx' = None,
+    by_alias: 'bool' = False,
+    exclude_unset: 'bool' = False,
+    exclude_defaults: 'bool' = False,
+    exclude_none: 'bool' = False,
+    round_trip: 'bool' = False,
+    warnings: 'bool' = True
+) -> 'dict[str, Any]'
+
+

Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#modelmodel_dump

+

Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
modeNoneThe mode in which to_python should run.
If mode is 'json', the dictionary will only contain JSON serializable types.
If mode is 'python', the dictionary may contain any Python objects.		None
includeNoneA list of fields to include in the output.None
excludeNoneA list of fields to exclude from the output.None
by_aliasNoneWhether to use the field's alias in the dictionary key if defined.None
exclude_unsetNoneWhether to exclude fields that have not been explicitly set.None
exclude_defaultsNoneWhether to exclude fields that are set to their default value from the output.None
exclude_noneNoneWhether to exclude fields that have a value of None from the output.None
round_tripNoneWhether to enable serialization and deserialization round-trip support.None
warningsNoneWhether to log warnings when invalid fields are encountered.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneA dictionary representation of the model.
+

model_dump_json

+
def model_dump_json(
+    self,
+    *,
+    indent: 'int | None' = None,
+    include: 'IncEx' = None,
+    exclude: 'IncEx' = None,
+    by_alias: 'bool' = False,
+    exclude_unset: 'bool' = False,
+    exclude_defaults: 'bool' = False,
+    exclude_none: 'bool' = False,
+    round_trip: 'bool' = False,
+    warnings: 'bool' = True
+) -> 'str'
+
+

Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#modelmodel_dump_json

+

Generates a JSON representation of the model using Pydantic's to_json method.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
indentNoneIndentation to use in the JSON output. If None is passed, the output will be compact.None
includeNoneField(s) to include in the JSON output. Can take either a string or set of strings.None
excludeNoneField(s) to exclude from the JSON output. Can take either a string or set of strings.None
by_aliasNoneWhether to serialize using field aliases.None
exclude_unsetNoneWhether to exclude fields that have not been explicitly set.None
exclude_defaultsNoneWhether to exclude fields that have the default value.None
exclude_noneNoneWhether to exclude fields that have a value of None.None
round_tripNoneWhether to use serialization/deserialization between JSON and class instance.None
warningsNoneWhether to show any warnings that occurred during serialization.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneA JSON string representation of the model.
+

model_post_init

+
def model_post_init(
+    self,
+    _BaseModel__context: 'Any'
+) -> 'None'
+
+

Override this method to perform additional initialization after __init__ and model_construct.

+

This is useful if you want to do some validation that requires the entire model to be initialized.

+ +
class Link(
+    __pydantic_self__,
+    **data: 'Any'
+)
+
+

Link model.

+

Ref: schemas.opengis.net/ogcapi/features/part1/1.0/openapi/schemas/link.yaml

+

Ancestors (in MRO)

+
    +
  • pydantic.main.BaseModel
    • +
+

Class variables

+
model_config
+
+
model_fields
+
+

Static methods

+

construct

+
def construct(
+    _fields_set: 'set[str] | None' = None,
+    **values: 'Any'
+) -> 'Model'
+
+

from_orm

+
def from_orm(
+    obj: 'Any'
+) -> 'Model'
+
+

model_construct

+
def model_construct(
+    _fields_set: 'set[str] | None' = None,
+    **values: 'Any'
+) -> 'Model'
+
+

Creates a new instance of the Model class with validated data.

+

Creates a new model setting __dict__ and __pydantic_fields_set__ from trusted or pre-validated data. +Default values are respected, but no other validation is performed. +Behaves as if Config.extra = 'allow' was set since it adds all passed values

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
_fields_setNoneThe set of field names accepted for the Model instance.None
valuesNoneTrusted or pre-validated data dictionary.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneA new instance of the Model class with validated data.
+

model_json_schema

+
def model_json_schema(
+    by_alias: 'bool' = True,
+    ref_template: 'str' = '#/$defs/{model}',
+    schema_generator: 'type[GenerateJsonSchema]' = <class 'pydantic.json_schema.GenerateJsonSchema'>,
+    mode: 'JsonSchemaMode' = 'validation'
+) -> 'dict[str, Any]'
+
+

Generates a JSON schema for a model class.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
by_aliasNoneWhether to use attribute aliases or not.None
ref_templateNoneThe reference template.None
schema_generatorNoneTo override the logic used to generate the JSON schema, as a subclass of
GenerateJsonSchema with your desired modifications		None
modeNoneThe mode in which to generate the schema.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneThe JSON schema for the given model class.
+

model_parametrized_name

+
def model_parametrized_name(
+    params: 'tuple[type[Any], ...]'
+) -> 'str'
+
+

Compute the class name for parametrizations of generic classes.

+

This method can be overridden to achieve a custom naming scheme for generic BaseModels.

+

Parameters:

+ + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
paramsNoneTuple of types of the class. Given a generic class
Model with 2 type variables and a concrete model Model[str, int],
the value (str, int) would be passed to params.		None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneString representing the new class where params are passed to cls as type variables.
+

Raises:

+ + + + + + + + + + + + + +
TypeDescription
TypeErrorRaised when trying to generate concrete names for non-generic models.
+

model_rebuild

+
def model_rebuild(
+    *,
+    force: 'bool' = False,
+    raise_errors: 'bool' = True,
+    _parent_namespace_depth: 'int' = 2,
+    _types_namespace: 'dict[str, Any] | None' = None
+) -> 'bool | None'
+
+

Try to rebuild the pydantic-core schema for the model.

+

This may be necessary when one of the annotations is a ForwardRef which could not be resolved during +the initial attempt to build the schema, and automatic rebuilding fails.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
forceNoneWhether to force the rebuilding of the model schema, defaults to False.None
raise_errorsNoneWhether to raise errors, defaults to True.None
_parent_namespace_depthNoneThe depth level of the parent namespace, defaults to 2.None
_types_namespaceNoneThe types namespace, defaults to None.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneReturns None if the schema is already "complete" and rebuilding was not required.
If rebuilding was required, returns True if rebuilding was successful, otherwise False.
+

model_validate

+
def model_validate(
+    obj: 'Any',
+    *,
+    strict: 'bool | None' = None,
+    from_attributes: 'bool | None' = None,
+    context: 'dict[str, Any] | None' = None
+) -> 'Model'
+
+

Validate a pydantic model instance.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
objNoneThe object to validate.None
strictNoneWhether to raise an exception on invalid fields.None
from_attributesNoneWhether to extract data from object attributes.None
contextNoneAdditional context to pass to the validator.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneThe validated model instance.
+

Raises:

+ + + + + + + + + + + + + +
TypeDescription
ValidationErrorIf the object could not be validated.
+

model_validate_json

+
def model_validate_json(
+    json_data: 'str | bytes | bytearray',
+    *,
+    strict: 'bool | None' = None,
+    context: 'dict[str, Any] | None' = None
+) -> 'Model'
+
+

Usage docs: docs.pydantic.dev/2.5/concepts/json/#json-parsing

+

Validate the given JSON data against the Pydantic model.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
json_dataNoneThe JSON data to validate.None
strictNoneWhether to enforce types strictly.None
contextNoneExtra variables to pass to the validator.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneThe validated Pydantic model.
+

Raises:

+ + + + + + + + + + + + + +
TypeDescription
ValueErrorIf json_data is not a JSON string.
+

model_validate_strings

+
def model_validate_strings(
+    obj: 'Any',
+    *,
+    strict: 'bool | None' = None,
+    context: 'dict[str, Any] | None' = None
+) -> 'Model'
+
+

Validate the given object contains string data against the Pydantic model.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
objNoneThe object contains string data to validate.None
strictNoneWhether to enforce types strictly.None
contextNoneExtra variables to pass to the validator.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneThe validated Pydantic model.
+

parse_file

+
def parse_file(
+    path: 'str | Path',
+    *,
+    content_type: 'str | None' = None,
+    encoding: 'str' = 'utf8',
+    proto: 'DeprecatedParseProtocol | None' = None,
+    allow_pickle: 'bool' = False
+) -> 'Model'
+
+

parse_obj

+
def parse_obj(
+    obj: 'Any'
+) -> 'Model'
+
+

parse_raw

+
def parse_raw(
+    b: 'str | bytes',
+    *,
+    content_type: 'str | None' = None,
+    encoding: 'str' = 'utf8',
+    proto: 'DeprecatedParseProtocol | None' = None,
+    allow_pickle: 'bool' = False
+) -> 'Model'
+
+

schema

+
def schema(
+    by_alias: 'bool' = True,
+    ref_template: 'str' = '#/$defs/{model}'
+) -> 'typing.Dict[str, Any]'
+
+

schema_json

+
def schema_json(
+    *,
+    by_alias: 'bool' = True,
+    ref_template: 'str' = '#/$defs/{model}',
+    **dumps_kwargs: 'Any'
+) -> 'str'
+
+

update_forward_refs

+
def update_forward_refs(
+    **localns: 'Any'
+) -> 'None'
+
+

validate

+
def validate(
+    value: 'Any'
+) -> 'Model'
+
+

Instance variables

+
model_computed_fields
+
+

Get the computed fields of this model instance.

+
model_extra
+
+

Get extra fields set during validation.

+
model_fields_set
+
+

Returns the set of fields that have been explicitly set on this model instance.

+

Methods

+

copy

+
def copy(
+    self: 'Model',
+    *,
+    include: 'AbstractSetIntStr | MappingIntStrAny | None' = None,
+    exclude: 'AbstractSetIntStr | MappingIntStrAny | None' = None,
+    update: 'typing.Dict[str, Any] | None' = None,
+    deep: 'bool' = False
+) -> 'Model'
+
+

Returns a copy of the model.

+
+

Deprecated

+

This method is now deprecated; use model_copy instead.

+
+

If you need include or exclude, use:

+
data = self.model_dump(include=include, exclude=exclude, round_trip=True)
+data = {**data, **(update or {})}
+copied = self.model_validate(data)
+
+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
includeNoneOptional set or mapping
specifying which fields to include in the copied model.		None
excludeNoneOptional set or mapping
specifying which fields to exclude in the copied model.		None
updateNoneOptional dictionary of field-value pairs to override field values
in the copied model.		None
deepNoneIf True, the values of fields that are Pydantic models will be deep copied.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneA copy of the model with included, excluded and updated fields as specified.
+

dict

+
def dict(
+    self,
+    *,
+    include: 'IncEx' = None,
+    exclude: 'IncEx' = None,
+    by_alias: 'bool' = False,
+    exclude_unset: 'bool' = False,
+    exclude_defaults: 'bool' = False,
+    exclude_none: 'bool' = False
+) -> 'typing.Dict[str, Any]'
+
+

json

+
def json(
+    self,
+    *,
+    include: 'IncEx' = None,
+    exclude: 'IncEx' = None,
+    by_alias: 'bool' = False,
+    exclude_unset: 'bool' = False,
+    exclude_defaults: 'bool' = False,
+    exclude_none: 'bool' = False,
+    encoder: 'typing.Callable[[Any], Any] | None' = PydanticUndefined,
+    models_as_dict: 'bool' = PydanticUndefined,
+    **dumps_kwargs: 'Any'
+) -> 'str'
+
+

model_copy

+
def model_copy(
+    self: 'Model',
+    *,
+    update: 'dict[str, Any] | None' = None,
+    deep: 'bool' = False
+) -> 'Model'
+
+

Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#model_copy

+

Returns a copy of the model.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
updateNoneValues to change/add in the new model. Note: the data is not validated
before creating the new model. You should trust this data.		None
deepNoneSet to True to make a deep copy of the model.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneNew model instance.
+

model_dump

+
def model_dump(
+    self,
+    *,
+    mode: "Literal[('json', 'python')] | str" = 'python',
+    include: 'IncEx' = None,
+    exclude: 'IncEx' = None,
+    by_alias: 'bool' = False,
+    exclude_unset: 'bool' = False,
+    exclude_defaults: 'bool' = False,
+    exclude_none: 'bool' = False,
+    round_trip: 'bool' = False,
+    warnings: 'bool' = True
+) -> 'dict[str, Any]'
+
+

Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#modelmodel_dump

+

Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
modeNoneThe mode in which to_python should run.
If mode is 'json', the dictionary will only contain JSON serializable types.
If mode is 'python', the dictionary may contain any Python objects.		None
includeNoneA list of fields to include in the output.None
excludeNoneA list of fields to exclude from the output.None
by_aliasNoneWhether to use the field's alias in the dictionary key if defined.None
exclude_unsetNoneWhether to exclude fields that have not been explicitly set.None
exclude_defaultsNoneWhether to exclude fields that are set to their default value from the output.None
exclude_noneNoneWhether to exclude fields that have a value of None from the output.None
round_tripNoneWhether to enable serialization and deserialization round-trip support.None
warningsNoneWhether to log warnings when invalid fields are encountered.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneA dictionary representation of the model.
+

model_dump_json

+
def model_dump_json(
+    self,
+    *,
+    indent: 'int | None' = None,
+    include: 'IncEx' = None,
+    exclude: 'IncEx' = None,
+    by_alias: 'bool' = False,
+    exclude_unset: 'bool' = False,
+    exclude_defaults: 'bool' = False,
+    exclude_none: 'bool' = False,
+    round_trip: 'bool' = False,
+    warnings: 'bool' = True
+) -> 'str'
+
+

Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#modelmodel_dump_json

+

Generates a JSON representation of the model using Pydantic's to_json method.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
indentNoneIndentation to use in the JSON output. If None is passed, the output will be compact.None
includeNoneField(s) to include in the JSON output. Can take either a string or set of strings.None
excludeNoneField(s) to exclude from the JSON output. Can take either a string or set of strings.None
by_aliasNoneWhether to serialize using field aliases.None
exclude_unsetNoneWhether to exclude fields that have not been explicitly set.None
exclude_defaultsNoneWhether to exclude fields that have the default value.None
exclude_noneNoneWhether to exclude fields that have a value of None.None
round_tripNoneWhether to use serialization/deserialization between JSON and class instance.None
warningsNoneWhether to show any warnings that occurred during serialization.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneA JSON string representation of the model.
+

model_post_init

+
def model_post_init(
+    self,
+    _BaseModel__context: 'Any'
+) -> 'None'
+
+

Override this method to perform additional initialization after __init__ and model_construct.

+

This is useful if you want to do some validation that requires the entire model to be initialized.

+

Metadata

+
class Metadata(
+    __pydantic_self__,
+    **data: 'Any'
+)
+
+

Metadata Model.

+

Ancestors (in MRO)

+
    +
  • pydantic.main.BaseModel
    • +
+

Class variables

+
model_config
+
+
model_fields
+
+

Static methods

+

construct

+
def construct(
+    _fields_set: 'set[str] | None' = None,
+    **values: 'Any'
+) -> 'Model'
+
+

from_orm

+
def from_orm(
+    obj: 'Any'
+) -> 'Model'
+
+

model_construct

+
def model_construct(
+    _fields_set: 'set[str] | None' = None,
+    **values: 'Any'
+) -> 'Model'
+
+

Creates a new instance of the Model class with validated data.

+

Creates a new model setting __dict__ and __pydantic_fields_set__ from trusted or pre-validated data. +Default values are respected, but no other validation is performed. +Behaves as if Config.extra = 'allow' was set since it adds all passed values

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
_fields_setNoneThe set of field names accepted for the Model instance.None
valuesNoneTrusted or pre-validated data dictionary.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneA new instance of the Model class with validated data.
+

model_json_schema

+
def model_json_schema(
+    by_alias: 'bool' = True,
+    ref_template: 'str' = '#/$defs/{model}',
+    schema_generator: 'type[GenerateJsonSchema]' = <class 'pydantic.json_schema.GenerateJsonSchema'>,
+    mode: 'JsonSchemaMode' = 'validation'
+) -> 'dict[str, Any]'
+
+

Generates a JSON schema for a model class.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
by_aliasNoneWhether to use attribute aliases or not.None
ref_templateNoneThe reference template.None
schema_generatorNoneTo override the logic used to generate the JSON schema, as a subclass of
GenerateJsonSchema with your desired modifications		None
modeNoneThe mode in which to generate the schema.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneThe JSON schema for the given model class.
+

model_parametrized_name

+
def model_parametrized_name(
+    params: 'tuple[type[Any], ...]'
+) -> 'str'
+
+

Compute the class name for parametrizations of generic classes.

+

This method can be overridden to achieve a custom naming scheme for generic BaseModels.

+

Parameters:

+ + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
paramsNoneTuple of types of the class. Given a generic class
Model with 2 type variables and a concrete model Model[str, int],
the value (str, int) would be passed to params.		None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneString representing the new class where params are passed to cls as type variables.
+

Raises:

+ + + + + + + + + + + + + +
TypeDescription
TypeErrorRaised when trying to generate concrete names for non-generic models.
+

model_rebuild

+
def model_rebuild(
+    *,
+    force: 'bool' = False,
+    raise_errors: 'bool' = True,
+    _parent_namespace_depth: 'int' = 2,
+    _types_namespace: 'dict[str, Any] | None' = None
+) -> 'bool | None'
+
+

Try to rebuild the pydantic-core schema for the model.

+

This may be necessary when one of the annotations is a ForwardRef which could not be resolved during +the initial attempt to build the schema, and automatic rebuilding fails.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
forceNoneWhether to force the rebuilding of the model schema, defaults to False.None
raise_errorsNoneWhether to raise errors, defaults to True.None
_parent_namespace_depthNoneThe depth level of the parent namespace, defaults to 2.None
_types_namespaceNoneThe types namespace, defaults to None.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneReturns None if the schema is already "complete" and rebuilding was not required.
If rebuilding was required, returns True if rebuilding was successful, otherwise False.
+

model_validate

+
def model_validate(
+    obj: 'Any',
+    *,
+    strict: 'bool | None' = None,
+    from_attributes: 'bool | None' = None,
+    context: 'dict[str, Any] | None' = None
+) -> 'Model'
+
+

Validate a pydantic model instance.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
objNoneThe object to validate.None
strictNoneWhether to raise an exception on invalid fields.None
from_attributesNoneWhether to extract data from object attributes.None
contextNoneAdditional context to pass to the validator.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneThe validated model instance.
+

Raises:

+ + + + + + + + + + + + + +
TypeDescription
ValidationErrorIf the object could not be validated.
+

model_validate_json

+
def model_validate_json(
+    json_data: 'str | bytes | bytearray',
+    *,
+    strict: 'bool | None' = None,
+    context: 'dict[str, Any] | None' = None
+) -> 'Model'
+
+

Usage docs: docs.pydantic.dev/2.5/concepts/json/#json-parsing

+

Validate the given JSON data against the Pydantic model.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
json_dataNoneThe JSON data to validate.None
strictNoneWhether to enforce types strictly.None
contextNoneExtra variables to pass to the validator.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneThe validated Pydantic model.
+

Raises:

+ + + + + + + + + + + + + +
TypeDescription
ValueErrorIf json_data is not a JSON string.
+

model_validate_strings

+
def model_validate_strings(
+    obj: 'Any',
+    *,
+    strict: 'bool | None' = None,
+    context: 'dict[str, Any] | None' = None
+) -> 'Model'
+
+

Validate the given object contains string data against the Pydantic model.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
objNoneThe object contains string data to validate.None
strictNoneWhether to enforce types strictly.None
contextNoneExtra variables to pass to the validator.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneThe validated Pydantic model.
+

parse_file

+
def parse_file(
+    path: 'str | Path',
+    *,
+    content_type: 'str | None' = None,
+    encoding: 'str' = 'utf8',
+    proto: 'DeprecatedParseProtocol | None' = None,
+    allow_pickle: 'bool' = False
+) -> 'Model'
+
+

parse_obj

+
def parse_obj(
+    obj: 'Any'
+) -> 'Model'
+
+

parse_raw

+
def parse_raw(
+    b: 'str | bytes',
+    *,
+    content_type: 'str | None' = None,
+    encoding: 'str' = 'utf8',
+    proto: 'DeprecatedParseProtocol | None' = None,
+    allow_pickle: 'bool' = False
+) -> 'Model'
+
+

schema

+
def schema(
+    by_alias: 'bool' = True,
+    ref_template: 'str' = '#/$defs/{model}'
+) -> 'typing.Dict[str, Any]'
+
+

schema_json

+
def schema_json(
+    *,
+    by_alias: 'bool' = True,
+    ref_template: 'str' = '#/$defs/{model}',
+    **dumps_kwargs: 'Any'
+) -> 'str'
+
+

update_forward_refs

+
def update_forward_refs(
+    **localns: 'Any'
+) -> 'None'
+
+

validate

+
def validate(
+    value: 'Any'
+) -> 'Model'
+
+

Instance variables

+
model_computed_fields
+
+

Get the computed fields of this model instance.

+
model_extra
+
+

Get extra fields set during validation.

+
model_fields_set
+
+

Returns the set of fields that have been explicitly set on this model instance.

+

Methods

+

copy

+
def copy(
+    self: 'Model',
+    *,
+    include: 'AbstractSetIntStr | MappingIntStrAny | None' = None,
+    exclude: 'AbstractSetIntStr | MappingIntStrAny | None' = None,
+    update: 'typing.Dict[str, Any] | None' = None,
+    deep: 'bool' = False
+) -> 'Model'
+
+

Returns a copy of the model.

+
+

Deprecated

+

This method is now deprecated; use model_copy instead.

+
+

If you need include or exclude, use:

+
data = self.model_dump(include=include, exclude=exclude, round_trip=True)
+data = {**data, **(update or {})}
+copied = self.model_validate(data)
+
+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
includeNoneOptional set or mapping
specifying which fields to include in the copied model.		None
excludeNoneOptional set or mapping
specifying which fields to exclude in the copied model.		None
updateNoneOptional dictionary of field-value pairs to override field values
in the copied model.		None
deepNoneIf True, the values of fields that are Pydantic models will be deep copied.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneA copy of the model with included, excluded and updated fields as specified.
+

dict

+
def dict(
+    self,
+    *,
+    include: 'IncEx' = None,
+    exclude: 'IncEx' = None,
+    by_alias: 'bool' = False,
+    exclude_unset: 'bool' = False,
+    exclude_defaults: 'bool' = False,
+    exclude_none: 'bool' = False
+) -> 'typing.Dict[str, Any]'
+
+

json

+
def json(
+    self,
+    *,
+    include: 'IncEx' = None,
+    exclude: 'IncEx' = None,
+    by_alias: 'bool' = False,
+    exclude_unset: 'bool' = False,
+    exclude_defaults: 'bool' = False,
+    exclude_none: 'bool' = False,
+    encoder: 'typing.Callable[[Any], Any] | None' = PydanticUndefined,
+    models_as_dict: 'bool' = PydanticUndefined,
+    **dumps_kwargs: 'Any'
+) -> 'str'
+
+

model_copy

+
def model_copy(
+    self: 'Model',
+    *,
+    update: 'dict[str, Any] | None' = None,
+    deep: 'bool' = False
+) -> 'Model'
+
+

Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#model_copy

+

Returns a copy of the model.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
updateNoneValues to change/add in the new model. Note: the data is not validated
before creating the new model. You should trust this data.		None
deepNoneSet to True to make a deep copy of the model.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneNew model instance.
+

model_dump

+
def model_dump(
+    self,
+    *,
+    mode: "Literal[('json', 'python')] | str" = 'python',
+    include: 'IncEx' = None,
+    exclude: 'IncEx' = None,
+    by_alias: 'bool' = False,
+    exclude_unset: 'bool' = False,
+    exclude_defaults: 'bool' = False,
+    exclude_none: 'bool' = False,
+    round_trip: 'bool' = False,
+    warnings: 'bool' = True
+) -> 'dict[str, Any]'
+
+

Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#modelmodel_dump

+

Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
modeNoneThe mode in which to_python should run.
If mode is 'json', the dictionary will only contain JSON serializable types.
If mode is 'python', the dictionary may contain any Python objects.		None
includeNoneA list of fields to include in the output.None
excludeNoneA list of fields to exclude from the output.None
by_aliasNoneWhether to use the field's alias in the dictionary key if defined.None
exclude_unsetNoneWhether to exclude fields that have not been explicitly set.None
exclude_defaultsNoneWhether to exclude fields that are set to their default value from the output.None
exclude_noneNoneWhether to exclude fields that have a value of None from the output.None
round_tripNoneWhether to enable serialization and deserialization round-trip support.None
warningsNoneWhether to log warnings when invalid fields are encountered.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneA dictionary representation of the model.
+

model_dump_json

+
def model_dump_json(
+    self,
+    *,
+    indent: 'int | None' = None,
+    include: 'IncEx' = None,
+    exclude: 'IncEx' = None,
+    by_alias: 'bool' = False,
+    exclude_unset: 'bool' = False,
+    exclude_defaults: 'bool' = False,
+    exclude_none: 'bool' = False,
+    round_trip: 'bool' = False,
+    warnings: 'bool' = True
+) -> 'str'
+
+

Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#modelmodel_dump_json

+

Generates a JSON representation of the model using Pydantic's to_json method.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
indentNoneIndentation to use in the JSON output. If None is passed, the output will be compact.None
includeNoneField(s) to include in the JSON output. Can take either a string or set of strings.None
excludeNoneField(s) to exclude from the JSON output. Can take either a string or set of strings.None
by_aliasNoneWhether to serialize using field aliases.None
exclude_unsetNoneWhether to exclude fields that have not been explicitly set.None
exclude_defaultsNoneWhether to exclude fields that have the default value.None
exclude_noneNoneWhether to exclude fields that have a value of None.None
round_tripNoneWhether to use serialization/deserialization between JSON and class instance.None
warningsNoneWhether to show any warnings that occurred during serialization.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneA JSON string representation of the model.
+

model_post_init

+
def model_post_init(
+    self,
+    _BaseModel__context: 'Any'
+) -> 'None'
+
+

Override this method to perform additional initialization after __init__ and model_construct.

+

This is useful if you want to do some validation that requires the entire model to be initialized.

+

PgSTACSearch

+
class PgSTACSearch(
+    __pydantic_self__,
+    **data: 'Any'
+)
+
+

Search Query model.

+

Notes/Diff with standard model: + - 'fields' is not in the Model because it's defined at the tiler level + - we don't set limit

+

Ancestors (in MRO)

+
    +
  • pydantic.main.BaseModel
    • +
+

Descendants

+
    +
  • titiler.pgstac.model.RegisterMosaic
    • +
+

Class variables

+
model_config
+
+
model_fields
+
+

Static methods

+

construct

+
def construct(
+    _fields_set: 'set[str] | None' = None,
+    **values: 'Any'
+) -> 'Model'
+
+

from_orm

+
def from_orm(
+    obj: 'Any'
+) -> 'Model'
+
+

model_construct

+
def model_construct(
+    _fields_set: 'set[str] | None' = None,
+    **values: 'Any'
+) -> 'Model'
+
+

Creates a new instance of the Model class with validated data.

+

Creates a new model setting __dict__ and __pydantic_fields_set__ from trusted or pre-validated data. +Default values are respected, but no other validation is performed. +Behaves as if Config.extra = 'allow' was set since it adds all passed values

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
_fields_setNoneThe set of field names accepted for the Model instance.None
valuesNoneTrusted or pre-validated data dictionary.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneA new instance of the Model class with validated data.
+

model_json_schema

+
def model_json_schema(
+    by_alias: 'bool' = True,
+    ref_template: 'str' = '#/$defs/{model}',
+    schema_generator: 'type[GenerateJsonSchema]' = <class 'pydantic.json_schema.GenerateJsonSchema'>,
+    mode: 'JsonSchemaMode' = 'validation'
+) -> 'dict[str, Any]'
+
+

Generates a JSON schema for a model class.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
by_aliasNoneWhether to use attribute aliases or not.None
ref_templateNoneThe reference template.None
schema_generatorNoneTo override the logic used to generate the JSON schema, as a subclass of
GenerateJsonSchema with your desired modifications		None
modeNoneThe mode in which to generate the schema.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneThe JSON schema for the given model class.
+

model_parametrized_name

+
def model_parametrized_name(
+    params: 'tuple[type[Any], ...]'
+) -> 'str'
+
+

Compute the class name for parametrizations of generic classes.

+

This method can be overridden to achieve a custom naming scheme for generic BaseModels.

+

Parameters:

+ + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
paramsNoneTuple of types of the class. Given a generic class
Model with 2 type variables and a concrete model Model[str, int],
the value (str, int) would be passed to params.		None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneString representing the new class where params are passed to cls as type variables.
+

Raises:

+ + + + + + + + + + + + + +
TypeDescription
TypeErrorRaised when trying to generate concrete names for non-generic models.
+

model_rebuild

+
def model_rebuild(
+    *,
+    force: 'bool' = False,
+    raise_errors: 'bool' = True,
+    _parent_namespace_depth: 'int' = 2,
+    _types_namespace: 'dict[str, Any] | None' = None
+) -> 'bool | None'
+
+

Try to rebuild the pydantic-core schema for the model.

+

This may be necessary when one of the annotations is a ForwardRef which could not be resolved during +the initial attempt to build the schema, and automatic rebuilding fails.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
forceNoneWhether to force the rebuilding of the model schema, defaults to False.None
raise_errorsNoneWhether to raise errors, defaults to True.None
_parent_namespace_depthNoneThe depth level of the parent namespace, defaults to 2.None
_types_namespaceNoneThe types namespace, defaults to None.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneReturns None if the schema is already "complete" and rebuilding was not required.
If rebuilding was required, returns True if rebuilding was successful, otherwise False.
+

model_validate

+
def model_validate(
+    obj: 'Any',
+    *,
+    strict: 'bool | None' = None,
+    from_attributes: 'bool | None' = None,
+    context: 'dict[str, Any] | None' = None
+) -> 'Model'
+
+

Validate a pydantic model instance.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
objNoneThe object to validate.None
strictNoneWhether to raise an exception on invalid fields.None
from_attributesNoneWhether to extract data from object attributes.None
contextNoneAdditional context to pass to the validator.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneThe validated model instance.
+

Raises:

+ + + + + + + + + + + + + +
TypeDescription
ValidationErrorIf the object could not be validated.
+

model_validate_json

+
def model_validate_json(
+    json_data: 'str | bytes | bytearray',
+    *,
+    strict: 'bool | None' = None,
+    context: 'dict[str, Any] | None' = None
+) -> 'Model'
+
+

Usage docs: docs.pydantic.dev/2.5/concepts/json/#json-parsing

+

Validate the given JSON data against the Pydantic model.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
json_dataNoneThe JSON data to validate.None
strictNoneWhether to enforce types strictly.None
contextNoneExtra variables to pass to the validator.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneThe validated Pydantic model.
+

Raises:

+ + + + + + + + + + + + + +
TypeDescription
ValueErrorIf json_data is not a JSON string.
+

model_validate_strings

+
def model_validate_strings(
+    obj: 'Any',
+    *,
+    strict: 'bool | None' = None,
+    context: 'dict[str, Any] | None' = None
+) -> 'Model'
+
+

Validate the given object contains string data against the Pydantic model.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
objNoneThe object contains string data to validate.None
strictNoneWhether to enforce types strictly.None
contextNoneExtra variables to pass to the validator.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneThe validated Pydantic model.
+

parse_file

+
def parse_file(
+    path: 'str | Path',
+    *,
+    content_type: 'str | None' = None,
+    encoding: 'str' = 'utf8',
+    proto: 'DeprecatedParseProtocol | None' = None,
+    allow_pickle: 'bool' = False
+) -> 'Model'
+
+

parse_obj

+
def parse_obj(
+    obj: 'Any'
+) -> 'Model'
+
+

parse_raw

+
def parse_raw(
+    b: 'str | bytes',
+    *,
+    content_type: 'str | None' = None,
+    encoding: 'str' = 'utf8',
+    proto: 'DeprecatedParseProtocol | None' = None,
+    allow_pickle: 'bool' = False
+) -> 'Model'
+
+

schema

+
def schema(
+    by_alias: 'bool' = True,
+    ref_template: 'str' = '#/$defs/{model}'
+) -> 'typing.Dict[str, Any]'
+
+

schema_json

+
def schema_json(
+    *,
+    by_alias: 'bool' = True,
+    ref_template: 'str' = '#/$defs/{model}',
+    **dumps_kwargs: 'Any'
+) -> 'str'
+
+

update_forward_refs

+
def update_forward_refs(
+    **localns: 'Any'
+) -> 'None'
+
+

validate

+
def validate(
+    value: 'Any'
+) -> 'Model'
+
+

validate_bbox

+
def validate_bbox(
+    v: Union[Tuple[float, float, float, float], Tuple[float, float, float, float, float, float]]
+)
+
+

Validate BBOX.

+

validate_datetime

+
def validate_datetime(
+    v
+)
+
+

Pgstac does not require the base validator for datetime.

+

validate_query_fields

+
def validate_query_fields(
+    values: Dict
+) -> Dict
+
+

Pgstac does not require the base validator for query fields.

+

validate_spatial

+
def validate_spatial(
+    v: Union[typing_extensions.Annotated[Union[geojson_pydantic.geometries.Point, geojson_pydantic.geometries.MultiPoint, geojson_pydantic.geometries.LineString, geojson_pydantic.geometries.MultiLineString, geojson_pydantic.geometries.Polygon, geojson_pydantic.geometries.MultiPolygon, geojson_pydantic.geometries.GeometryCollection], FieldInfo(annotation=NoneType, required=True, discriminator='type')], NoneType],
+    info: pydantic_core.core_schema.ValidationInfo
+)
+
+

Make sure bbox is not used with Intersects.

+

Instance variables

+
model_computed_fields
+
+

Get the computed fields of this model instance.

+
model_extra
+
+

Get extra fields set during validation.

+
model_fields_set
+
+

Returns the set of fields that have been explicitly set on this model instance.

+

Methods

+

copy

+
def copy(
+    self: 'Model',
+    *,
+    include: 'AbstractSetIntStr | MappingIntStrAny | None' = None,
+    exclude: 'AbstractSetIntStr | MappingIntStrAny | None' = None,
+    update: 'typing.Dict[str, Any] | None' = None,
+    deep: 'bool' = False
+) -> 'Model'
+
+

Returns a copy of the model.

+
+

Deprecated

+

This method is now deprecated; use model_copy instead.

+
+

If you need include or exclude, use:

+
data = self.model_dump(include=include, exclude=exclude, round_trip=True)
+data = {**data, **(update or {})}
+copied = self.model_validate(data)
+
+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
includeNoneOptional set or mapping
specifying which fields to include in the copied model.		None
excludeNoneOptional set or mapping
specifying which fields to exclude in the copied model.		None
updateNoneOptional dictionary of field-value pairs to override field values
in the copied model.		None
deepNoneIf True, the values of fields that are Pydantic models will be deep copied.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneA copy of the model with included, excluded and updated fields as specified.
+

dict

+
def dict(
+    self,
+    *,
+    include: 'IncEx' = None,
+    exclude: 'IncEx' = None,
+    by_alias: 'bool' = False,
+    exclude_unset: 'bool' = False,
+    exclude_defaults: 'bool' = False,
+    exclude_none: 'bool' = False
+) -> 'typing.Dict[str, Any]'
+
+

json

+
def json(
+    self,
+    *,
+    include: 'IncEx' = None,
+    exclude: 'IncEx' = None,
+    by_alias: 'bool' = False,
+    exclude_unset: 'bool' = False,
+    exclude_defaults: 'bool' = False,
+    exclude_none: 'bool' = False,
+    encoder: 'typing.Callable[[Any], Any] | None' = PydanticUndefined,
+    models_as_dict: 'bool' = PydanticUndefined,
+    **dumps_kwargs: 'Any'
+) -> 'str'
+
+

model_copy

+
def model_copy(
+    self: 'Model',
+    *,
+    update: 'dict[str, Any] | None' = None,
+    deep: 'bool' = False
+) -> 'Model'
+
+

Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#model_copy

+

Returns a copy of the model.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
updateNoneValues to change/add in the new model. Note: the data is not validated
before creating the new model. You should trust this data.		None
deepNoneSet to True to make a deep copy of the model.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneNew model instance.
+

model_dump

+
def model_dump(
+    self,
+    *,
+    mode: "Literal[('json', 'python')] | str" = 'python',
+    include: 'IncEx' = None,
+    exclude: 'IncEx' = None,
+    by_alias: 'bool' = False,
+    exclude_unset: 'bool' = False,
+    exclude_defaults: 'bool' = False,
+    exclude_none: 'bool' = False,
+    round_trip: 'bool' = False,
+    warnings: 'bool' = True
+) -> 'dict[str, Any]'
+
+

Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#modelmodel_dump

+

Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
modeNoneThe mode in which to_python should run.
If mode is 'json', the dictionary will only contain JSON serializable types.
If mode is 'python', the dictionary may contain any Python objects.		None
includeNoneA list of fields to include in the output.None
excludeNoneA list of fields to exclude from the output.None
by_aliasNoneWhether to use the field's alias in the dictionary key if defined.None
exclude_unsetNoneWhether to exclude fields that have not been explicitly set.None
exclude_defaultsNoneWhether to exclude fields that are set to their default value from the output.None
exclude_noneNoneWhether to exclude fields that have a value of None from the output.None
round_tripNoneWhether to enable serialization and deserialization round-trip support.None
warningsNoneWhether to log warnings when invalid fields are encountered.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneA dictionary representation of the model.
+

model_dump_json

+
def model_dump_json(
+    self,
+    *,
+    indent: 'int | None' = None,
+    include: 'IncEx' = None,
+    exclude: 'IncEx' = None,
+    by_alias: 'bool' = False,
+    exclude_unset: 'bool' = False,
+    exclude_defaults: 'bool' = False,
+    exclude_none: 'bool' = False,
+    round_trip: 'bool' = False,
+    warnings: 'bool' = True
+) -> 'str'
+
+

Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#modelmodel_dump_json

+

Generates a JSON representation of the model using Pydantic's to_json method.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
indentNoneIndentation to use in the JSON output. If None is passed, the output will be compact.None
includeNoneField(s) to include in the JSON output. Can take either a string or set of strings.None
excludeNoneField(s) to exclude from the JSON output. Can take either a string or set of strings.None
by_aliasNoneWhether to serialize using field aliases.None
exclude_unsetNoneWhether to exclude fields that have not been explicitly set.None
exclude_defaultsNoneWhether to exclude fields that have the default value.None
exclude_noneNoneWhether to exclude fields that have a value of None.None
round_tripNoneWhether to use serialization/deserialization between JSON and class instance.None
warningsNoneWhether to show any warnings that occurred during serialization.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneA JSON string representation of the model.
+

model_post_init

+
def model_post_init(
+    self,
+    _BaseModel__context: 'Any'
+) -> 'None'
+
+

Override this method to perform additional initialization after __init__ and model_construct.

+

This is useful if you want to do some validation that requires the entire model to be initialized.

+

RegisterMosaic

+
class RegisterMosaic(
+    __pydantic_self__,
+    **data: 'Any'
+)
+
+

Model of /register endpoint input.

+

Ancestors (in MRO)

+
    +
  • titiler.pgstac.model.PgSTACSearch
    • +
  • pydantic.main.BaseModel
    • +
+

Class variables

+
model_config
+
+
model_fields
+
+

Static methods

+

construct

+
def construct(
+    _fields_set: 'set[str] | None' = None,
+    **values: 'Any'
+) -> 'Model'
+
+

from_orm

+
def from_orm(
+    obj: 'Any'
+) -> 'Model'
+
+

model_construct

+
def model_construct(
+    _fields_set: 'set[str] | None' = None,
+    **values: 'Any'
+) -> 'Model'
+
+

Creates a new instance of the Model class with validated data.

+

Creates a new model setting __dict__ and __pydantic_fields_set__ from trusted or pre-validated data. +Default values are respected, but no other validation is performed. +Behaves as if Config.extra = 'allow' was set since it adds all passed values

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
_fields_setNoneThe set of field names accepted for the Model instance.None
valuesNoneTrusted or pre-validated data dictionary.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneA new instance of the Model class with validated data.
+

model_json_schema

+
def model_json_schema(
+    by_alias: 'bool' = True,
+    ref_template: 'str' = '#/$defs/{model}',
+    schema_generator: 'type[GenerateJsonSchema]' = <class 'pydantic.json_schema.GenerateJsonSchema'>,
+    mode: 'JsonSchemaMode' = 'validation'
+) -> 'dict[str, Any]'
+
+

Generates a JSON schema for a model class.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
by_aliasNoneWhether to use attribute aliases or not.None
ref_templateNoneThe reference template.None
schema_generatorNoneTo override the logic used to generate the JSON schema, as a subclass of
GenerateJsonSchema with your desired modifications		None
modeNoneThe mode in which to generate the schema.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneThe JSON schema for the given model class.
+

model_parametrized_name

+
def model_parametrized_name(
+    params: 'tuple[type[Any], ...]'
+) -> 'str'
+
+

Compute the class name for parametrizations of generic classes.

+

This method can be overridden to achieve a custom naming scheme for generic BaseModels.

+

Parameters:

+ + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
paramsNoneTuple of types of the class. Given a generic class
Model with 2 type variables and a concrete model Model[str, int],
the value (str, int) would be passed to params.		None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneString representing the new class where params are passed to cls as type variables.
+

Raises:

+ + + + + + + + + + + + + +
TypeDescription
TypeErrorRaised when trying to generate concrete names for non-generic models.
+

model_rebuild

+
def model_rebuild(
+    *,
+    force: 'bool' = False,
+    raise_errors: 'bool' = True,
+    _parent_namespace_depth: 'int' = 2,
+    _types_namespace: 'dict[str, Any] | None' = None
+) -> 'bool | None'
+
+

Try to rebuild the pydantic-core schema for the model.

+

This may be necessary when one of the annotations is a ForwardRef which could not be resolved during +the initial attempt to build the schema, and automatic rebuilding fails.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
forceNoneWhether to force the rebuilding of the model schema, defaults to False.None
raise_errorsNoneWhether to raise errors, defaults to True.None
_parent_namespace_depthNoneThe depth level of the parent namespace, defaults to 2.None
_types_namespaceNoneThe types namespace, defaults to None.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneReturns None if the schema is already "complete" and rebuilding was not required.
If rebuilding was required, returns True if rebuilding was successful, otherwise False.
+

model_validate

+
def model_validate(
+    obj: 'Any',
+    *,
+    strict: 'bool | None' = None,
+    from_attributes: 'bool | None' = None,
+    context: 'dict[str, Any] | None' = None
+) -> 'Model'
+
+

Validate a pydantic model instance.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
objNoneThe object to validate.None
strictNoneWhether to raise an exception on invalid fields.None
from_attributesNoneWhether to extract data from object attributes.None
contextNoneAdditional context to pass to the validator.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneThe validated model instance.
+

Raises:

+ + + + + + + + + + + + + +
TypeDescription
ValidationErrorIf the object could not be validated.
+

model_validate_json

+
def model_validate_json(
+    json_data: 'str | bytes | bytearray',
+    *,
+    strict: 'bool | None' = None,
+    context: 'dict[str, Any] | None' = None
+) -> 'Model'
+
+

Usage docs: docs.pydantic.dev/2.5/concepts/json/#json-parsing

+

Validate the given JSON data against the Pydantic model.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
json_dataNoneThe JSON data to validate.None
strictNoneWhether to enforce types strictly.None
contextNoneExtra variables to pass to the validator.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneThe validated Pydantic model.
+

Raises:

+ + + + + + + + + + + + + +
TypeDescription
ValueErrorIf json_data is not a JSON string.
+

model_validate_strings

+
def model_validate_strings(
+    obj: 'Any',
+    *,
+    strict: 'bool | None' = None,
+    context: 'dict[str, Any] | None' = None
+) -> 'Model'
+
+

Validate the given object contains string data against the Pydantic model.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
objNoneThe object contains string data to validate.None
strictNoneWhether to enforce types strictly.None
contextNoneExtra variables to pass to the validator.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneThe validated Pydantic model.
+

parse_file

+
def parse_file(
+    path: 'str | Path',
+    *,
+    content_type: 'str | None' = None,
+    encoding: 'str' = 'utf8',
+    proto: 'DeprecatedParseProtocol | None' = None,
+    allow_pickle: 'bool' = False
+) -> 'Model'
+
+

parse_obj

+
def parse_obj(
+    obj: 'Any'
+) -> 'Model'
+
+

parse_raw

+
def parse_raw(
+    b: 'str | bytes',
+    *,
+    content_type: 'str | None' = None,
+    encoding: 'str' = 'utf8',
+    proto: 'DeprecatedParseProtocol | None' = None,
+    allow_pickle: 'bool' = False
+) -> 'Model'
+
+

schema

+
def schema(
+    by_alias: 'bool' = True,
+    ref_template: 'str' = '#/$defs/{model}'
+) -> 'typing.Dict[str, Any]'
+
+

schema_json

+
def schema_json(
+    *,
+    by_alias: 'bool' = True,
+    ref_template: 'str' = '#/$defs/{model}',
+    **dumps_kwargs: 'Any'
+) -> 'str'
+
+

update_forward_refs

+
def update_forward_refs(
+    **localns: 'Any'
+) -> 'None'
+
+

validate

+
def validate(
+    value: 'Any'
+) -> 'Model'
+
+

validate_bbox

+
def validate_bbox(
+    v: Union[Tuple[float, float, float, float], Tuple[float, float, float, float, float, float]]
+)
+
+

Validate BBOX.

+

validate_datetime

+
def validate_datetime(
+    v
+)
+
+

Pgstac does not require the base validator for datetime.

+

validate_query_fields

+
def validate_query_fields(
+    values: Dict
+) -> Dict
+
+

Pgstac does not require the base validator for query fields.

+

validate_spatial

+
def validate_spatial(
+    v: Union[typing_extensions.Annotated[Union[geojson_pydantic.geometries.Point, geojson_pydantic.geometries.MultiPoint, geojson_pydantic.geometries.LineString, geojson_pydantic.geometries.MultiLineString, geojson_pydantic.geometries.Polygon, geojson_pydantic.geometries.MultiPolygon, geojson_pydantic.geometries.GeometryCollection], FieldInfo(annotation=NoneType, required=True, discriminator='type')], NoneType],
+    info: pydantic_core.core_schema.ValidationInfo
+)
+
+

Make sure bbox is not used with Intersects.

+

Instance variables

+
model_computed_fields
+
+

Get the computed fields of this model instance.

+
model_extra
+
+

Get extra fields set during validation.

+
model_fields_set
+
+

Returns the set of fields that have been explicitly set on this model instance.

+

Methods

+

copy

+
def copy(
+    self: 'Model',
+    *,
+    include: 'AbstractSetIntStr | MappingIntStrAny | None' = None,
+    exclude: 'AbstractSetIntStr | MappingIntStrAny | None' = None,
+    update: 'typing.Dict[str, Any] | None' = None,
+    deep: 'bool' = False
+) -> 'Model'
+
+

Returns a copy of the model.

+
+

Deprecated

+

This method is now deprecated; use model_copy instead.

+
+

If you need include or exclude, use:

+
data = self.model_dump(include=include, exclude=exclude, round_trip=True)
+data = {**data, **(update or {})}
+copied = self.model_validate(data)
+
+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
includeNoneOptional set or mapping
specifying which fields to include in the copied model.		None
excludeNoneOptional set or mapping
specifying which fields to exclude in the copied model.		None
updateNoneOptional dictionary of field-value pairs to override field values
in the copied model.		None
deepNoneIf True, the values of fields that are Pydantic models will be deep copied.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneA copy of the model with included, excluded and updated fields as specified.
+

dict

+
def dict(
+    self,
+    *,
+    include: 'IncEx' = None,
+    exclude: 'IncEx' = None,
+    by_alias: 'bool' = False,
+    exclude_unset: 'bool' = False,
+    exclude_defaults: 'bool' = False,
+    exclude_none: 'bool' = False
+) -> 'typing.Dict[str, Any]'
+
+

json

+
def json(
+    self,
+    *,
+    include: 'IncEx' = None,
+    exclude: 'IncEx' = None,
+    by_alias: 'bool' = False,
+    exclude_unset: 'bool' = False,
+    exclude_defaults: 'bool' = False,
+    exclude_none: 'bool' = False,
+    encoder: 'typing.Callable[[Any], Any] | None' = PydanticUndefined,
+    models_as_dict: 'bool' = PydanticUndefined,
+    **dumps_kwargs: 'Any'
+) -> 'str'
+
+

model_copy

+
def model_copy(
+    self: 'Model',
+    *,
+    update: 'dict[str, Any] | None' = None,
+    deep: 'bool' = False
+) -> 'Model'
+
+

Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#model_copy

+

Returns a copy of the model.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
updateNoneValues to change/add in the new model. Note: the data is not validated
before creating the new model. You should trust this data.		None
deepNoneSet to True to make a deep copy of the model.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneNew model instance.
+

model_dump

+
def model_dump(
+    self,
+    *,
+    mode: "Literal[('json', 'python')] | str" = 'python',
+    include: 'IncEx' = None,
+    exclude: 'IncEx' = None,
+    by_alias: 'bool' = False,
+    exclude_unset: 'bool' = False,
+    exclude_defaults: 'bool' = False,
+    exclude_none: 'bool' = False,
+    round_trip: 'bool' = False,
+    warnings: 'bool' = True
+) -> 'dict[str, Any]'
+
+

Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#modelmodel_dump

+

Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
modeNoneThe mode in which to_python should run.
If mode is 'json', the dictionary will only contain JSON serializable types.
If mode is 'python', the dictionary may contain any Python objects.		None
includeNoneA list of fields to include in the output.None
excludeNoneA list of fields to exclude from the output.None
by_aliasNoneWhether to use the field's alias in the dictionary key if defined.None
exclude_unsetNoneWhether to exclude fields that have not been explicitly set.None
exclude_defaultsNoneWhether to exclude fields that are set to their default value from the output.None
exclude_noneNoneWhether to exclude fields that have a value of None from the output.None
round_tripNoneWhether to enable serialization and deserialization round-trip support.None
warningsNoneWhether to log warnings when invalid fields are encountered.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneA dictionary representation of the model.
+

model_dump_json

+
def model_dump_json(
+    self,
+    *,
+    indent: 'int | None' = None,
+    include: 'IncEx' = None,
+    exclude: 'IncEx' = None,
+    by_alias: 'bool' = False,
+    exclude_unset: 'bool' = False,
+    exclude_defaults: 'bool' = False,
+    exclude_none: 'bool' = False,
+    round_trip: 'bool' = False,
+    warnings: 'bool' = True
+) -> 'str'
+
+

Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#modelmodel_dump_json

+

Generates a JSON representation of the model using Pydantic's to_json method.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
indentNoneIndentation to use in the JSON output. If None is passed, the output will be compact.None
includeNoneField(s) to include in the JSON output. Can take either a string or set of strings.None
excludeNoneField(s) to exclude from the JSON output. Can take either a string or set of strings.None
by_aliasNoneWhether to serialize using field aliases.None
exclude_unsetNoneWhether to exclude fields that have not been explicitly set.None
exclude_defaultsNoneWhether to exclude fields that have the default value.None
exclude_noneNoneWhether to exclude fields that have a value of None.None
round_tripNoneWhether to use serialization/deserialization between JSON and class instance.None
warningsNoneWhether to show any warnings that occurred during serialization.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneA JSON string representation of the model.
+

model_post_init

+
def model_post_init(
+    self,
+    _BaseModel__context: 'Any'
+) -> 'None'
+
+

Override this method to perform additional initialization after __init__ and model_construct.

+

This is useful if you want to do some validation that requires the entire model to be initialized.

+

RegisterResponse

+
class RegisterResponse(
+    __pydantic_self__,
+    **data: 'Any'
+)
+
+

Response model for /register endpoint.

+

Ancestors (in MRO)

+
    +
  • pydantic.main.BaseModel
    • +
+

Class variables

+
model_config
+
+
model_fields
+
+

Static methods

+

construct

+
def construct(
+    _fields_set: 'set[str] | None' = None,
+    **values: 'Any'
+) -> 'Model'
+
+

from_orm

+
def from_orm(
+    obj: 'Any'
+) -> 'Model'
+
+

model_construct

+
def model_construct(
+    _fields_set: 'set[str] | None' = None,
+    **values: 'Any'
+) -> 'Model'
+
+

Creates a new instance of the Model class with validated data.

+

Creates a new model setting __dict__ and __pydantic_fields_set__ from trusted or pre-validated data. +Default values are respected, but no other validation is performed. +Behaves as if Config.extra = 'allow' was set since it adds all passed values

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
_fields_setNoneThe set of field names accepted for the Model instance.None
valuesNoneTrusted or pre-validated data dictionary.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneA new instance of the Model class with validated data.
+

model_json_schema

+
def model_json_schema(
+    by_alias: 'bool' = True,
+    ref_template: 'str' = '#/$defs/{model}',
+    schema_generator: 'type[GenerateJsonSchema]' = <class 'pydantic.json_schema.GenerateJsonSchema'>,
+    mode: 'JsonSchemaMode' = 'validation'
+) -> 'dict[str, Any]'
+
+

Generates a JSON schema for a model class.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
by_aliasNoneWhether to use attribute aliases or not.None
ref_templateNoneThe reference template.None
schema_generatorNoneTo override the logic used to generate the JSON schema, as a subclass of
GenerateJsonSchema with your desired modifications		None
modeNoneThe mode in which to generate the schema.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneThe JSON schema for the given model class.
+

model_parametrized_name

+
def model_parametrized_name(
+    params: 'tuple[type[Any], ...]'
+) -> 'str'
+
+

Compute the class name for parametrizations of generic classes.

+

This method can be overridden to achieve a custom naming scheme for generic BaseModels.

+

Parameters:

+ + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
paramsNoneTuple of types of the class. Given a generic class
Model with 2 type variables and a concrete model Model[str, int],
the value (str, int) would be passed to params.		None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneString representing the new class where params are passed to cls as type variables.
+

Raises:

+ + + + + + + + + + + + + +
TypeDescription
TypeErrorRaised when trying to generate concrete names for non-generic models.
+

model_rebuild

+
def model_rebuild(
+    *,
+    force: 'bool' = False,
+    raise_errors: 'bool' = True,
+    _parent_namespace_depth: 'int' = 2,
+    _types_namespace: 'dict[str, Any] | None' = None
+) -> 'bool | None'
+
+

Try to rebuild the pydantic-core schema for the model.

+

This may be necessary when one of the annotations is a ForwardRef which could not be resolved during +the initial attempt to build the schema, and automatic rebuilding fails.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
forceNoneWhether to force the rebuilding of the model schema, defaults to False.None
raise_errorsNoneWhether to raise errors, defaults to True.None
_parent_namespace_depthNoneThe depth level of the parent namespace, defaults to 2.None
_types_namespaceNoneThe types namespace, defaults to None.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneReturns None if the schema is already "complete" and rebuilding was not required.
If rebuilding was required, returns True if rebuilding was successful, otherwise False.
+

model_validate

+
def model_validate(
+    obj: 'Any',
+    *,
+    strict: 'bool | None' = None,
+    from_attributes: 'bool | None' = None,
+    context: 'dict[str, Any] | None' = None
+) -> 'Model'
+
+

Validate a pydantic model instance.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
objNoneThe object to validate.None
strictNoneWhether to raise an exception on invalid fields.None
from_attributesNoneWhether to extract data from object attributes.None
contextNoneAdditional context to pass to the validator.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneThe validated model instance.
+

Raises:

+ + + + + + + + + + + + + +
TypeDescription
ValidationErrorIf the object could not be validated.
+

model_validate_json

+
def model_validate_json(
+    json_data: 'str | bytes | bytearray',
+    *,
+    strict: 'bool | None' = None,
+    context: 'dict[str, Any] | None' = None
+) -> 'Model'
+
+

Usage docs: docs.pydantic.dev/2.5/concepts/json/#json-parsing

+

Validate the given JSON data against the Pydantic model.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
json_dataNoneThe JSON data to validate.None
strictNoneWhether to enforce types strictly.None
contextNoneExtra variables to pass to the validator.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneThe validated Pydantic model.
+

Raises:

+ + + + + + + + + + + + + +
TypeDescription
ValueErrorIf json_data is not a JSON string.
+

model_validate_strings

+
def model_validate_strings(
+    obj: 'Any',
+    *,
+    strict: 'bool | None' = None,
+    context: 'dict[str, Any] | None' = None
+) -> 'Model'
+
+

Validate the given object contains string data against the Pydantic model.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
objNoneThe object contains string data to validate.None
strictNoneWhether to enforce types strictly.None
contextNoneExtra variables to pass to the validator.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneThe validated Pydantic model.
+

parse_file

+
def parse_file(
+    path: 'str | Path',
+    *,
+    content_type: 'str | None' = None,
+    encoding: 'str' = 'utf8',
+    proto: 'DeprecatedParseProtocol | None' = None,
+    allow_pickle: 'bool' = False
+) -> 'Model'
+
+

parse_obj

+
def parse_obj(
+    obj: 'Any'
+) -> 'Model'
+
+

parse_raw

+
def parse_raw(
+    b: 'str | bytes',
+    *,
+    content_type: 'str | None' = None,
+    encoding: 'str' = 'utf8',
+    proto: 'DeprecatedParseProtocol | None' = None,
+    allow_pickle: 'bool' = False
+) -> 'Model'
+
+

schema

+
def schema(
+    by_alias: 'bool' = True,
+    ref_template: 'str' = '#/$defs/{model}'
+) -> 'typing.Dict[str, Any]'
+
+

schema_json

+
def schema_json(
+    *,
+    by_alias: 'bool' = True,
+    ref_template: 'str' = '#/$defs/{model}',
+    **dumps_kwargs: 'Any'
+) -> 'str'
+
+

update_forward_refs

+
def update_forward_refs(
+    **localns: 'Any'
+) -> 'None'
+
+

validate

+
def validate(
+    value: 'Any'
+) -> 'Model'
+
+

Instance variables

+
model_computed_fields
+
+

Get the computed fields of this model instance.

+
model_extra
+
+

Get extra fields set during validation.

+
model_fields_set
+
+

Returns the set of fields that have been explicitly set on this model instance.

+

Methods

+

copy

+
def copy(
+    self: 'Model',
+    *,
+    include: 'AbstractSetIntStr | MappingIntStrAny | None' = None,
+    exclude: 'AbstractSetIntStr | MappingIntStrAny | None' = None,
+    update: 'typing.Dict[str, Any] | None' = None,
+    deep: 'bool' = False
+) -> 'Model'
+
+

Returns a copy of the model.

+
+

Deprecated

+

This method is now deprecated; use model_copy instead.

+
+

If you need include or exclude, use:

+
data = self.model_dump(include=include, exclude=exclude, round_trip=True)
+data = {**data, **(update or {})}
+copied = self.model_validate(data)
+
+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
includeNoneOptional set or mapping
specifying which fields to include in the copied model.		None
excludeNoneOptional set or mapping
specifying which fields to exclude in the copied model.		None
updateNoneOptional dictionary of field-value pairs to override field values
in the copied model.		None
deepNoneIf True, the values of fields that are Pydantic models will be deep copied.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneA copy of the model with included, excluded and updated fields as specified.
+

dict

+
def dict(
+    self,
+    *,
+    include: 'IncEx' = None,
+    exclude: 'IncEx' = None,
+    by_alias: 'bool' = False,
+    exclude_unset: 'bool' = False,
+    exclude_defaults: 'bool' = False,
+    exclude_none: 'bool' = False
+) -> 'typing.Dict[str, Any]'
+
+

json

+
def json(
+    self,
+    *,
+    include: 'IncEx' = None,
+    exclude: 'IncEx' = None,
+    by_alias: 'bool' = False,
+    exclude_unset: 'bool' = False,
+    exclude_defaults: 'bool' = False,
+    exclude_none: 'bool' = False,
+    encoder: 'typing.Callable[[Any], Any] | None' = PydanticUndefined,
+    models_as_dict: 'bool' = PydanticUndefined,
+    **dumps_kwargs: 'Any'
+) -> 'str'
+
+

model_copy

+
def model_copy(
+    self: 'Model',
+    *,
+    update: 'dict[str, Any] | None' = None,
+    deep: 'bool' = False
+) -> 'Model'
+
+

Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#model_copy

+

Returns a copy of the model.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
updateNoneValues to change/add in the new model. Note: the data is not validated
before creating the new model. You should trust this data.		None
deepNoneSet to True to make a deep copy of the model.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneNew model instance.
+

model_dump

+
def model_dump(
+    self,
+    *,
+    mode: "Literal[('json', 'python')] | str" = 'python',
+    include: 'IncEx' = None,
+    exclude: 'IncEx' = None,
+    by_alias: 'bool' = False,
+    exclude_unset: 'bool' = False,
+    exclude_defaults: 'bool' = False,
+    exclude_none: 'bool' = False,
+    round_trip: 'bool' = False,
+    warnings: 'bool' = True
+) -> 'dict[str, Any]'
+
+

Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#modelmodel_dump

+

Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
modeNoneThe mode in which to_python should run.
If mode is 'json', the dictionary will only contain JSON serializable types.
If mode is 'python', the dictionary may contain any Python objects.		None
includeNoneA list of fields to include in the output.None
excludeNoneA list of fields to exclude from the output.None
by_aliasNoneWhether to use the field's alias in the dictionary key if defined.None
exclude_unsetNoneWhether to exclude fields that have not been explicitly set.None
exclude_defaultsNoneWhether to exclude fields that are set to their default value from the output.None
exclude_noneNoneWhether to exclude fields that have a value of None from the output.None
round_tripNoneWhether to enable serialization and deserialization round-trip support.None
warningsNoneWhether to log warnings when invalid fields are encountered.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneA dictionary representation of the model.
+

model_dump_json

+
def model_dump_json(
+    self,
+    *,
+    indent: 'int | None' = None,
+    include: 'IncEx' = None,
+    exclude: 'IncEx' = None,
+    by_alias: 'bool' = False,
+    exclude_unset: 'bool' = False,
+    exclude_defaults: 'bool' = False,
+    exclude_none: 'bool' = False,
+    round_trip: 'bool' = False,
+    warnings: 'bool' = True
+) -> 'str'
+
+

Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#modelmodel_dump_json

+

Generates a JSON representation of the model using Pydantic's to_json method.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
indentNoneIndentation to use in the JSON output. If None is passed, the output will be compact.None
includeNoneField(s) to include in the JSON output. Can take either a string or set of strings.None
excludeNoneField(s) to exclude from the JSON output. Can take either a string or set of strings.None
by_aliasNoneWhether to serialize using field aliases.None
exclude_unsetNoneWhether to exclude fields that have not been explicitly set.None
exclude_defaultsNoneWhether to exclude fields that have the default value.None
exclude_noneNoneWhether to exclude fields that have a value of None.None
round_tripNoneWhether to use serialization/deserialization between JSON and class instance.None
warningsNoneWhether to show any warnings that occurred during serialization.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneA JSON string representation of the model.
+

model_post_init

+
def model_post_init(
+    self,
+    _BaseModel__context: 'Any'
+) -> 'None'
+
+

Override this method to perform additional initialization after __init__ and model_construct.

+

This is useful if you want to do some validation that requires the entire model to be initialized.

+ +
class Search(
+    __pydantic_self__,
+    **data: 'Any'
+)
+
+

PgSTAC Search entry.

+

ref: github.com/stac-utils/pgstac/blob/3499daa2bfa700ae7bb07503795c169bf2ebafc7/sql/004_search.sql#L907-L915

+

Ancestors (in MRO)

+
    +
  • pydantic.main.BaseModel
    • +
+

Class variables

+
model_config
+
+
model_fields
+
+

Static methods

+

construct

+
def construct(
+    _fields_set: 'set[str] | None' = None,
+    **values: 'Any'
+) -> 'Model'
+
+

from_orm

+
def from_orm(
+    obj: 'Any'
+) -> 'Model'
+
+

model_construct

+
def model_construct(
+    _fields_set: 'set[str] | None' = None,
+    **values: 'Any'
+) -> 'Model'
+
+

Creates a new instance of the Model class with validated data.

+

Creates a new model setting __dict__ and __pydantic_fields_set__ from trusted or pre-validated data. +Default values are respected, but no other validation is performed. +Behaves as if Config.extra = 'allow' was set since it adds all passed values

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
_fields_setNoneThe set of field names accepted for the Model instance.None
valuesNoneTrusted or pre-validated data dictionary.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneA new instance of the Model class with validated data.
+

model_json_schema

+
def model_json_schema(
+    by_alias: 'bool' = True,
+    ref_template: 'str' = '#/$defs/{model}',
+    schema_generator: 'type[GenerateJsonSchema]' = <class 'pydantic.json_schema.GenerateJsonSchema'>,
+    mode: 'JsonSchemaMode' = 'validation'
+) -> 'dict[str, Any]'
+
+

Generates a JSON schema for a model class.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
by_aliasNoneWhether to use attribute aliases or not.None
ref_templateNoneThe reference template.None
schema_generatorNoneTo override the logic used to generate the JSON schema, as a subclass of
GenerateJsonSchema with your desired modifications		None
modeNoneThe mode in which to generate the schema.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneThe JSON schema for the given model class.
+

model_parametrized_name

+
def model_parametrized_name(
+    params: 'tuple[type[Any], ...]'
+) -> 'str'
+
+

Compute the class name for parametrizations of generic classes.

+

This method can be overridden to achieve a custom naming scheme for generic BaseModels.

+

Parameters:

+ + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
paramsNoneTuple of types of the class. Given a generic class
Model with 2 type variables and a concrete model Model[str, int],
the value (str, int) would be passed to params.		None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneString representing the new class where params are passed to cls as type variables.
+

Raises:

+ + + + + + + + + + + + + +
TypeDescription
TypeErrorRaised when trying to generate concrete names for non-generic models.
+

model_rebuild

+
def model_rebuild(
+    *,
+    force: 'bool' = False,
+    raise_errors: 'bool' = True,
+    _parent_namespace_depth: 'int' = 2,
+    _types_namespace: 'dict[str, Any] | None' = None
+) -> 'bool | None'
+
+

Try to rebuild the pydantic-core schema for the model.

+

This may be necessary when one of the annotations is a ForwardRef which could not be resolved during +the initial attempt to build the schema, and automatic rebuilding fails.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
forceNoneWhether to force the rebuilding of the model schema, defaults to False.None
raise_errorsNoneWhether to raise errors, defaults to True.None
_parent_namespace_depthNoneThe depth level of the parent namespace, defaults to 2.None
_types_namespaceNoneThe types namespace, defaults to None.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneReturns None if the schema is already "complete" and rebuilding was not required.
If rebuilding was required, returns True if rebuilding was successful, otherwise False.
+

model_validate

+
def model_validate(
+    obj: 'Any',
+    *,
+    strict: 'bool | None' = None,
+    from_attributes: 'bool | None' = None,
+    context: 'dict[str, Any] | None' = None
+) -> 'Model'
+
+

Validate a pydantic model instance.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
objNoneThe object to validate.None
strictNoneWhether to raise an exception on invalid fields.None
from_attributesNoneWhether to extract data from object attributes.None
contextNoneAdditional context to pass to the validator.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneThe validated model instance.
+

Raises:

+ + + + + + + + + + + + + +
TypeDescription
ValidationErrorIf the object could not be validated.
+

model_validate_json

+
def model_validate_json(
+    json_data: 'str | bytes | bytearray',
+    *,
+    strict: 'bool | None' = None,
+    context: 'dict[str, Any] | None' = None
+) -> 'Model'
+
+

Usage docs: docs.pydantic.dev/2.5/concepts/json/#json-parsing

+

Validate the given JSON data against the Pydantic model.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
json_dataNoneThe JSON data to validate.None
strictNoneWhether to enforce types strictly.None
contextNoneExtra variables to pass to the validator.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneThe validated Pydantic model.
+

Raises:

+ + + + + + + + + + + + + +
TypeDescription
ValueErrorIf json_data is not a JSON string.
+

model_validate_strings

+
def model_validate_strings(
+    obj: 'Any',
+    *,
+    strict: 'bool | None' = None,
+    context: 'dict[str, Any] | None' = None
+) -> 'Model'
+
+

Validate the given object contains string data against the Pydantic model.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
objNoneThe object contains string data to validate.None
strictNoneWhether to enforce types strictly.None
contextNoneExtra variables to pass to the validator.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneThe validated Pydantic model.
+

parse_file

+
def parse_file(
+    path: 'str | Path',
+    *,
+    content_type: 'str | None' = None,
+    encoding: 'str' = 'utf8',
+    proto: 'DeprecatedParseProtocol | None' = None,
+    allow_pickle: 'bool' = False
+) -> 'Model'
+
+

parse_obj

+
def parse_obj(
+    obj: 'Any'
+) -> 'Model'
+
+

parse_raw

+
def parse_raw(
+    b: 'str | bytes',
+    *,
+    content_type: 'str | None' = None,
+    encoding: 'str' = 'utf8',
+    proto: 'DeprecatedParseProtocol | None' = None,
+    allow_pickle: 'bool' = False
+) -> 'Model'
+
+

schema

+
def schema(
+    by_alias: 'bool' = True,
+    ref_template: 'str' = '#/$defs/{model}'
+) -> 'typing.Dict[str, Any]'
+
+

schema_json

+
def schema_json(
+    *,
+    by_alias: 'bool' = True,
+    ref_template: 'str' = '#/$defs/{model}',
+    **dumps_kwargs: 'Any'
+) -> 'str'
+
+

update_forward_refs

+
def update_forward_refs(
+    **localns: 'Any'
+) -> 'None'
+
+

validate

+
def validate(
+    value: 'Any'
+) -> 'Model'
+
+

validate_metadata

+
def validate_metadata(
+    v
+)
+
+

Set SearchType.search when not present in metadata.

+

Instance variables

+
model_computed_fields
+
+

Get the computed fields of this model instance.

+
model_extra
+
+

Get extra fields set during validation.

+
model_fields_set
+
+

Returns the set of fields that have been explicitly set on this model instance.

+

Methods

+

copy

+
def copy(
+    self: 'Model',
+    *,
+    include: 'AbstractSetIntStr | MappingIntStrAny | None' = None,
+    exclude: 'AbstractSetIntStr | MappingIntStrAny | None' = None,
+    update: 'typing.Dict[str, Any] | None' = None,
+    deep: 'bool' = False
+) -> 'Model'
+
+

Returns a copy of the model.

+
+

Deprecated

+

This method is now deprecated; use model_copy instead.

+
+

If you need include or exclude, use:

+
data = self.model_dump(include=include, exclude=exclude, round_trip=True)
+data = {**data, **(update or {})}
+copied = self.model_validate(data)
+
+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
includeNoneOptional set or mapping
specifying which fields to include in the copied model.		None
excludeNoneOptional set or mapping
specifying which fields to exclude in the copied model.		None
updateNoneOptional dictionary of field-value pairs to override field values
in the copied model.		None
deepNoneIf True, the values of fields that are Pydantic models will be deep copied.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneA copy of the model with included, excluded and updated fields as specified.
+

dict

+
def dict(
+    self,
+    *,
+    include: 'IncEx' = None,
+    exclude: 'IncEx' = None,
+    by_alias: 'bool' = False,
+    exclude_unset: 'bool' = False,
+    exclude_defaults: 'bool' = False,
+    exclude_none: 'bool' = False
+) -> 'typing.Dict[str, Any]'
+
+

json

+
def json(
+    self,
+    *,
+    include: 'IncEx' = None,
+    exclude: 'IncEx' = None,
+    by_alias: 'bool' = False,
+    exclude_unset: 'bool' = False,
+    exclude_defaults: 'bool' = False,
+    exclude_none: 'bool' = False,
+    encoder: 'typing.Callable[[Any], Any] | None' = PydanticUndefined,
+    models_as_dict: 'bool' = PydanticUndefined,
+    **dumps_kwargs: 'Any'
+) -> 'str'
+
+

model_copy

+
def model_copy(
+    self: 'Model',
+    *,
+    update: 'dict[str, Any] | None' = None,
+    deep: 'bool' = False
+) -> 'Model'
+
+

Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#model_copy

+

Returns a copy of the model.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
updateNoneValues to change/add in the new model. Note: the data is not validated
before creating the new model. You should trust this data.		None
deepNoneSet to True to make a deep copy of the model.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneNew model instance.
+

model_dump

+
def model_dump(
+    self,
+    *,
+    mode: "Literal[('json', 'python')] | str" = 'python',
+    include: 'IncEx' = None,
+    exclude: 'IncEx' = None,
+    by_alias: 'bool' = False,
+    exclude_unset: 'bool' = False,
+    exclude_defaults: 'bool' = False,
+    exclude_none: 'bool' = False,
+    round_trip: 'bool' = False,
+    warnings: 'bool' = True
+) -> 'dict[str, Any]'
+
+

Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#modelmodel_dump

+

Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
modeNoneThe mode in which to_python should run.
If mode is 'json', the dictionary will only contain JSON serializable types.
If mode is 'python', the dictionary may contain any Python objects.		None
includeNoneA list of fields to include in the output.None
excludeNoneA list of fields to exclude from the output.None
by_aliasNoneWhether to use the field's alias in the dictionary key if defined.None
exclude_unsetNoneWhether to exclude fields that have not been explicitly set.None
exclude_defaultsNoneWhether to exclude fields that are set to their default value from the output.None
exclude_noneNoneWhether to exclude fields that have a value of None from the output.None
round_tripNoneWhether to enable serialization and deserialization round-trip support.None
warningsNoneWhether to log warnings when invalid fields are encountered.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneA dictionary representation of the model.
+

model_dump_json

+
def model_dump_json(
+    self,
+    *,
+    indent: 'int | None' = None,
+    include: 'IncEx' = None,
+    exclude: 'IncEx' = None,
+    by_alias: 'bool' = False,
+    exclude_unset: 'bool' = False,
+    exclude_defaults: 'bool' = False,
+    exclude_none: 'bool' = False,
+    round_trip: 'bool' = False,
+    warnings: 'bool' = True
+) -> 'str'
+
+

Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#modelmodel_dump_json

+

Generates a JSON representation of the model using Pydantic's to_json method.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
indentNoneIndentation to use in the JSON output. If None is passed, the output will be compact.None
includeNoneField(s) to include in the JSON output. Can take either a string or set of strings.None
excludeNoneField(s) to exclude from the JSON output. Can take either a string or set of strings.None
by_aliasNoneWhether to serialize using field aliases.None
exclude_unsetNoneWhether to exclude fields that have not been explicitly set.None
exclude_defaultsNoneWhether to exclude fields that have the default value.None
exclude_noneNoneWhether to exclude fields that have a value of None.None
round_tripNoneWhether to use serialization/deserialization between JSON and class instance.None
warningsNoneWhether to show any warnings that occurred during serialization.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneA JSON string representation of the model.
+

model_post_init

+
def model_post_init(
+    self,
+    _BaseModel__context: 'Any'
+) -> 'None'
+
+

Override this method to perform additional initialization after __init__ and model_construct.

+

This is useful if you want to do some validation that requires the entire model to be initialized.

+ + + + + + +
+
+ + +
+ +
+ + + +
+
+
+
+ + + + + + + + + + \ No newline at end of file diff --git a/1.0.0/api/titiler/pgstac/model/model.md b/1.0.0/api/titiler/pgstac/model/model.md new file mode 100644 index 00000000..ceae16f6 --- /dev/null +++ b/1.0.0/api/titiler/pgstac/model/model.md @@ -0,0 +1,5300 @@ +# Module titiler.pgstac.model + +Titiler.pgstac models. + +Note: This is mostly a copy of https://github.com/stac-utils/stac-fastapi/blob/master/stac_fastapi/pgstac/stac_fastapi/pgstac/types/search.py + +## Variables + +```python3 +FilterLang +``` + +```python3 +Operator +``` + +## Classes + +### Context + +```python3 +class Context( + __pydantic_self__, + **data: 'Any' +) +``` + +Context Model. + +#### Ancestors (in MRO) + +* pydantic.main.BaseModel + +#### Class variables + +```python3 +model_config +``` + +```python3 +model_fields +``` + +#### Static methods + + +#### construct + +```python3 +def construct( + _fields_set: 'set[str] | None' = None, + **values: 'Any' +) -> 'Model' +``` + + +#### from_orm + +```python3 +def from_orm( + obj: 'Any' +) -> 'Model' +``` + + +#### model_construct + +```python3 +def model_construct( + _fields_set: 'set[str] | None' = None, + **values: 'Any' +) -> 'Model' +``` + +Creates a new instance of the `Model` class with validated data. + +Creates a new model setting `__dict__` and `__pydantic_fields_set__` from trusted or pre-validated data. +Default values are respected, but no other validation is performed. +Behaves as if `Config.extra = 'allow'` was set since it adds all passed values + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| _fields_set | None | The set of field names accepted for the Model instance. | None | +| values | None | Trusted or pre-validated data dictionary. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | A new instance of the `Model` class with validated data. | + + +#### model_json_schema + +```python3 +def model_json_schema( + by_alias: 'bool' = True, + ref_template: 'str' = '#/$defs/{model}', + schema_generator: 'type[GenerateJsonSchema]' = , + mode: 'JsonSchemaMode' = 'validation' +) -> 'dict[str, Any]' +``` + +Generates a JSON schema for a model class. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| by_alias | None | Whether to use attribute aliases or not. | None | +| ref_template | None | The reference template. | None | +| schema_generator | None | To override the logic used to generate the JSON schema, as a subclass of
`GenerateJsonSchema` with your desired modifications | None | +| mode | None | The mode in which to generate the schema. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | The JSON schema for the given model class. | + + +#### model_parametrized_name + +```python3 +def model_parametrized_name( + params: 'tuple[type[Any], ...]' +) -> 'str' +``` + +Compute the class name for parametrizations of generic classes. + +This method can be overridden to achieve a custom naming scheme for generic BaseModels. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| params | None | Tuple of types of the class. Given a generic class
`Model` with 2 type variables and a concrete model `Model[str, int]`,
the value `(str, int)` would be passed to `params`. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | String representing the new class where `params` are passed to `cls` as type variables. | + +**Raises:** + +| Type | Description | +|---|---| +| TypeError | Raised when trying to generate concrete names for non-generic models. | + + +#### model_rebuild + +```python3 +def model_rebuild( + *, + force: 'bool' = False, + raise_errors: 'bool' = True, + _parent_namespace_depth: 'int' = 2, + _types_namespace: 'dict[str, Any] | None' = None +) -> 'bool | None' +``` + +Try to rebuild the pydantic-core schema for the model. + +This may be necessary when one of the annotations is a ForwardRef which could not be resolved during +the initial attempt to build the schema, and automatic rebuilding fails. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| force | None | Whether to force the rebuilding of the model schema, defaults to `False`. | None | +| raise_errors | None | Whether to raise errors, defaults to `True`. | None | +| _parent_namespace_depth | None | The depth level of the parent namespace, defaults to 2. | None | +| _types_namespace | None | The types namespace, defaults to `None`. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | Returns `None` if the schema is already "complete" and rebuilding was not required.
If rebuilding _was_ required, returns `True` if rebuilding was successful, otherwise `False`. | + + +#### model_validate + +```python3 +def model_validate( + obj: 'Any', + *, + strict: 'bool | None' = None, + from_attributes: 'bool | None' = None, + context: 'dict[str, Any] | None' = None +) -> 'Model' +``` + +Validate a pydantic model instance. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| obj | None | The object to validate. | None | +| strict | None | Whether to raise an exception on invalid fields. | None | +| from_attributes | None | Whether to extract data from object attributes. | None | +| context | None | Additional context to pass to the validator. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | The validated model instance. | + +**Raises:** + +| Type | Description | +|---|---| +| ValidationError | If the object could not be validated. | + + +#### model_validate_json + +```python3 +def model_validate_json( + json_data: 'str | bytes | bytearray', + *, + strict: 'bool | None' = None, + context: 'dict[str, Any] | None' = None +) -> 'Model' +``` + +Usage docs: https://docs.pydantic.dev/2.5/concepts/json/#json-parsing + +Validate the given JSON data against the Pydantic model. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| json_data | None | The JSON data to validate. | None | +| strict | None | Whether to enforce types strictly. | None | +| context | None | Extra variables to pass to the validator. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | The validated Pydantic model. | + +**Raises:** + +| Type | Description | +|---|---| +| ValueError | If `json_data` is not a JSON string. | + + +#### model_validate_strings + +```python3 +def model_validate_strings( + obj: 'Any', + *, + strict: 'bool | None' = None, + context: 'dict[str, Any] | None' = None +) -> 'Model' +``` + +Validate the given object contains string data against the Pydantic model. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| obj | None | The object contains string data to validate. | None | +| strict | None | Whether to enforce types strictly. | None | +| context | None | Extra variables to pass to the validator. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | The validated Pydantic model. | + + +#### parse_file + +```python3 +def parse_file( + path: 'str | Path', + *, + content_type: 'str | None' = None, + encoding: 'str' = 'utf8', + proto: 'DeprecatedParseProtocol | None' = None, + allow_pickle: 'bool' = False +) -> 'Model' +``` + + +#### parse_obj + +```python3 +def parse_obj( + obj: 'Any' +) -> 'Model' +``` + + +#### parse_raw + +```python3 +def parse_raw( + b: 'str | bytes', + *, + content_type: 'str | None' = None, + encoding: 'str' = 'utf8', + proto: 'DeprecatedParseProtocol | None' = None, + allow_pickle: 'bool' = False +) -> 'Model' +``` + + +#### schema + +```python3 +def schema( + by_alias: 'bool' = True, + ref_template: 'str' = '#/$defs/{model}' +) -> 'typing.Dict[str, Any]' +``` + + +#### schema_json + +```python3 +def schema_json( + *, + by_alias: 'bool' = True, + ref_template: 'str' = '#/$defs/{model}', + **dumps_kwargs: 'Any' +) -> 'str' +``` + + +#### update_forward_refs + +```python3 +def update_forward_refs( + **localns: 'Any' +) -> 'None' +``` + + +#### validate + +```python3 +def validate( + value: 'Any' +) -> 'Model' +``` + + +#### validate_limit + +```python3 +def validate_limit( + v, + info: pydantic_core.core_schema.ValidationInfo +) +``` + +validate limit. + +#### Instance variables + +```python3 +model_computed_fields +``` + +Get the computed fields of this model instance. + +```python3 +model_extra +``` + +Get extra fields set during validation. + +```python3 +model_fields_set +``` + +Returns the set of fields that have been explicitly set on this model instance. + +#### Methods + + +#### copy + +```python3 +def copy( + self: 'Model', + *, + include: 'AbstractSetIntStr | MappingIntStrAny | None' = None, + exclude: 'AbstractSetIntStr | MappingIntStrAny | None' = None, + update: 'typing.Dict[str, Any] | None' = None, + deep: 'bool' = False +) -> 'Model' +``` + +Returns a copy of the model. + +!!! warning "Deprecated" + This method is now deprecated; use `model_copy` instead. + +If you need `include` or `exclude`, use: + +```py +data = self.model_dump(include=include, exclude=exclude, round_trip=True) +data = {**data, **(update or {})} +copied = self.model_validate(data) +``` + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| include | None | Optional set or mapping
specifying which fields to include in the copied model. | None | +| exclude | None | Optional set or mapping
specifying which fields to exclude in the copied model. | None | +| update | None | Optional dictionary of field-value pairs to override field values
in the copied model. | None | +| deep | None | If True, the values of fields that are Pydantic models will be deep copied. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | A copy of the model with included, excluded and updated fields as specified. | + + +#### dict + +```python3 +def dict( + self, + *, + include: 'IncEx' = None, + exclude: 'IncEx' = None, + by_alias: 'bool' = False, + exclude_unset: 'bool' = False, + exclude_defaults: 'bool' = False, + exclude_none: 'bool' = False +) -> 'typing.Dict[str, Any]' +``` + + +#### json + +```python3 +def json( + self, + *, + include: 'IncEx' = None, + exclude: 'IncEx' = None, + by_alias: 'bool' = False, + exclude_unset: 'bool' = False, + exclude_defaults: 'bool' = False, + exclude_none: 'bool' = False, + encoder: 'typing.Callable[[Any], Any] | None' = PydanticUndefined, + models_as_dict: 'bool' = PydanticUndefined, + **dumps_kwargs: 'Any' +) -> 'str' +``` + + +#### model_copy + +```python3 +def model_copy( + self: 'Model', + *, + update: 'dict[str, Any] | None' = None, + deep: 'bool' = False +) -> 'Model' +``` + +Usage docs: https://docs.pydantic.dev/2.5/concepts/serialization/#model_copy + +Returns a copy of the model. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| update | None | Values to change/add in the new model. Note: the data is not validated
before creating the new model. You should trust this data. | None | +| deep | None | Set to `True` to make a deep copy of the model. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | New model instance. | + + +#### model_dump + +```python3 +def model_dump( + self, + *, + mode: "Literal[('json', 'python')] | str" = 'python', + include: 'IncEx' = None, + exclude: 'IncEx' = None, + by_alias: 'bool' = False, + exclude_unset: 'bool' = False, + exclude_defaults: 'bool' = False, + exclude_none: 'bool' = False, + round_trip: 'bool' = False, + warnings: 'bool' = True +) -> 'dict[str, Any]' +``` + +Usage docs: https://docs.pydantic.dev/2.5/concepts/serialization/#modelmodel_dump + +Generate a dictionary representation of the model, optionally specifying which fields to include or exclude. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| mode | None | The mode in which `to_python` should run.
If mode is 'json', the dictionary will only contain JSON serializable types.
If mode is 'python', the dictionary may contain any Python objects. | None | +| include | None | A list of fields to include in the output. | None | +| exclude | None | A list of fields to exclude from the output. | None | +| by_alias | None | Whether to use the field's alias in the dictionary key if defined. | None | +| exclude_unset | None | Whether to exclude fields that have not been explicitly set. | None | +| exclude_defaults | None | Whether to exclude fields that are set to their default value from the output. | None | +| exclude_none | None | Whether to exclude fields that have a value of `None` from the output. | None | +| round_trip | None | Whether to enable serialization and deserialization round-trip support. | None | +| warnings | None | Whether to log warnings when invalid fields are encountered. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | A dictionary representation of the model. | + + +#### model_dump_json + +```python3 +def model_dump_json( + self, + *, + indent: 'int | None' = None, + include: 'IncEx' = None, + exclude: 'IncEx' = None, + by_alias: 'bool' = False, + exclude_unset: 'bool' = False, + exclude_defaults: 'bool' = False, + exclude_none: 'bool' = False, + round_trip: 'bool' = False, + warnings: 'bool' = True +) -> 'str' +``` + +Usage docs: https://docs.pydantic.dev/2.5/concepts/serialization/#modelmodel_dump_json + +Generates a JSON representation of the model using Pydantic's `to_json` method. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| indent | None | Indentation to use in the JSON output. If None is passed, the output will be compact. | None | +| include | None | Field(s) to include in the JSON output. Can take either a string or set of strings. | None | +| exclude | None | Field(s) to exclude from the JSON output. Can take either a string or set of strings. | None | +| by_alias | None | Whether to serialize using field aliases. | None | +| exclude_unset | None | Whether to exclude fields that have not been explicitly set. | None | +| exclude_defaults | None | Whether to exclude fields that have the default value. | None | +| exclude_none | None | Whether to exclude fields that have a value of `None`. | None | +| round_trip | None | Whether to use serialization/deserialization between JSON and class instance. | None | +| warnings | None | Whether to show any warnings that occurred during serialization. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | A JSON string representation of the model. | + + +#### model_post_init + +```python3 +def model_post_init( + self, + _BaseModel__context: 'Any' +) -> 'None' +``` + +Override this method to perform additional initialization after `__init__` and `model_construct`. + +This is useful if you want to do some validation that requires the entire model to be initialized. + +### Info + +```python3 +class Info( + __pydantic_self__, + **data: 'Any' +) +``` + +Response model for /info endpoint. + +#### Ancestors (in MRO) + +* pydantic.main.BaseModel + +#### Class variables + +```python3 +model_config +``` + +```python3 +model_fields +``` + +#### Static methods + + +#### construct + +```python3 +def construct( + _fields_set: 'set[str] | None' = None, + **values: 'Any' +) -> 'Model' +``` + + +#### from_orm + +```python3 +def from_orm( + obj: 'Any' +) -> 'Model' +``` + + +#### model_construct + +```python3 +def model_construct( + _fields_set: 'set[str] | None' = None, + **values: 'Any' +) -> 'Model' +``` + +Creates a new instance of the `Model` class with validated data. + +Creates a new model setting `__dict__` and `__pydantic_fields_set__` from trusted or pre-validated data. +Default values are respected, but no other validation is performed. +Behaves as if `Config.extra = 'allow'` was set since it adds all passed values + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| _fields_set | None | The set of field names accepted for the Model instance. | None | +| values | None | Trusted or pre-validated data dictionary. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | A new instance of the `Model` class with validated data. | + + +#### model_json_schema + +```python3 +def model_json_schema( + by_alias: 'bool' = True, + ref_template: 'str' = '#/$defs/{model}', + schema_generator: 'type[GenerateJsonSchema]' = , + mode: 'JsonSchemaMode' = 'validation' +) -> 'dict[str, Any]' +``` + +Generates a JSON schema for a model class. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| by_alias | None | Whether to use attribute aliases or not. | None | +| ref_template | None | The reference template. | None | +| schema_generator | None | To override the logic used to generate the JSON schema, as a subclass of
`GenerateJsonSchema` with your desired modifications | None | +| mode | None | The mode in which to generate the schema. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | The JSON schema for the given model class. | + + +#### model_parametrized_name + +```python3 +def model_parametrized_name( + params: 'tuple[type[Any], ...]' +) -> 'str' +``` + +Compute the class name for parametrizations of generic classes. + +This method can be overridden to achieve a custom naming scheme for generic BaseModels. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| params | None | Tuple of types of the class. Given a generic class
`Model` with 2 type variables and a concrete model `Model[str, int]`,
the value `(str, int)` would be passed to `params`. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | String representing the new class where `params` are passed to `cls` as type variables. | + +**Raises:** + +| Type | Description | +|---|---| +| TypeError | Raised when trying to generate concrete names for non-generic models. | + + +#### model_rebuild + +```python3 +def model_rebuild( + *, + force: 'bool' = False, + raise_errors: 'bool' = True, + _parent_namespace_depth: 'int' = 2, + _types_namespace: 'dict[str, Any] | None' = None +) -> 'bool | None' +``` + +Try to rebuild the pydantic-core schema for the model. + +This may be necessary when one of the annotations is a ForwardRef which could not be resolved during +the initial attempt to build the schema, and automatic rebuilding fails. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| force | None | Whether to force the rebuilding of the model schema, defaults to `False`. | None | +| raise_errors | None | Whether to raise errors, defaults to `True`. | None | +| _parent_namespace_depth | None | The depth level of the parent namespace, defaults to 2. | None | +| _types_namespace | None | The types namespace, defaults to `None`. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | Returns `None` if the schema is already "complete" and rebuilding was not required.
If rebuilding _was_ required, returns `True` if rebuilding was successful, otherwise `False`. | + + +#### model_validate + +```python3 +def model_validate( + obj: 'Any', + *, + strict: 'bool | None' = None, + from_attributes: 'bool | None' = None, + context: 'dict[str, Any] | None' = None +) -> 'Model' +``` + +Validate a pydantic model instance. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| obj | None | The object to validate. | None | +| strict | None | Whether to raise an exception on invalid fields. | None | +| from_attributes | None | Whether to extract data from object attributes. | None | +| context | None | Additional context to pass to the validator. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | The validated model instance. | + +**Raises:** + +| Type | Description | +|---|---| +| ValidationError | If the object could not be validated. | + + +#### model_validate_json + +```python3 +def model_validate_json( + json_data: 'str | bytes | bytearray', + *, + strict: 'bool | None' = None, + context: 'dict[str, Any] | None' = None +) -> 'Model' +``` + +Usage docs: https://docs.pydantic.dev/2.5/concepts/json/#json-parsing + +Validate the given JSON data against the Pydantic model. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| json_data | None | The JSON data to validate. | None | +| strict | None | Whether to enforce types strictly. | None | +| context | None | Extra variables to pass to the validator. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | The validated Pydantic model. | + +**Raises:** + +| Type | Description | +|---|---| +| ValueError | If `json_data` is not a JSON string. | + + +#### model_validate_strings + +```python3 +def model_validate_strings( + obj: 'Any', + *, + strict: 'bool | None' = None, + context: 'dict[str, Any] | None' = None +) -> 'Model' +``` + +Validate the given object contains string data against the Pydantic model. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| obj | None | The object contains string data to validate. | None | +| strict | None | Whether to enforce types strictly. | None | +| context | None | Extra variables to pass to the validator. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | The validated Pydantic model. | + + +#### parse_file + +```python3 +def parse_file( + path: 'str | Path', + *, + content_type: 'str | None' = None, + encoding: 'str' = 'utf8', + proto: 'DeprecatedParseProtocol | None' = None, + allow_pickle: 'bool' = False +) -> 'Model' +``` + + +#### parse_obj + +```python3 +def parse_obj( + obj: 'Any' +) -> 'Model' +``` + + +#### parse_raw + +```python3 +def parse_raw( + b: 'str | bytes', + *, + content_type: 'str | None' = None, + encoding: 'str' = 'utf8', + proto: 'DeprecatedParseProtocol | None' = None, + allow_pickle: 'bool' = False +) -> 'Model' +``` + + +#### schema + +```python3 +def schema( + by_alias: 'bool' = True, + ref_template: 'str' = '#/$defs/{model}' +) -> 'typing.Dict[str, Any]' +``` + + +#### schema_json + +```python3 +def schema_json( + *, + by_alias: 'bool' = True, + ref_template: 'str' = '#/$defs/{model}', + **dumps_kwargs: 'Any' +) -> 'str' +``` + + +#### update_forward_refs + +```python3 +def update_forward_refs( + **localns: 'Any' +) -> 'None' +``` + + +#### validate + +```python3 +def validate( + value: 'Any' +) -> 'Model' +``` + +#### Instance variables + +```python3 +model_computed_fields +``` + +Get the computed fields of this model instance. + +```python3 +model_extra +``` + +Get extra fields set during validation. + +```python3 +model_fields_set +``` + +Returns the set of fields that have been explicitly set on this model instance. + +#### Methods + + +#### copy + +```python3 +def copy( + self: 'Model', + *, + include: 'AbstractSetIntStr | MappingIntStrAny | None' = None, + exclude: 'AbstractSetIntStr | MappingIntStrAny | None' = None, + update: 'typing.Dict[str, Any] | None' = None, + deep: 'bool' = False +) -> 'Model' +``` + +Returns a copy of the model. + +!!! warning "Deprecated" + This method is now deprecated; use `model_copy` instead. + +If you need `include` or `exclude`, use: + +```py +data = self.model_dump(include=include, exclude=exclude, round_trip=True) +data = {**data, **(update or {})} +copied = self.model_validate(data) +``` + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| include | None | Optional set or mapping
specifying which fields to include in the copied model. | None | +| exclude | None | Optional set or mapping
specifying which fields to exclude in the copied model. | None | +| update | None | Optional dictionary of field-value pairs to override field values
in the copied model. | None | +| deep | None | If True, the values of fields that are Pydantic models will be deep copied. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | A copy of the model with included, excluded and updated fields as specified. | + + +#### dict + +```python3 +def dict( + self, + *, + include: 'IncEx' = None, + exclude: 'IncEx' = None, + by_alias: 'bool' = False, + exclude_unset: 'bool' = False, + exclude_defaults: 'bool' = False, + exclude_none: 'bool' = False +) -> 'typing.Dict[str, Any]' +``` + + +#### json + +```python3 +def json( + self, + *, + include: 'IncEx' = None, + exclude: 'IncEx' = None, + by_alias: 'bool' = False, + exclude_unset: 'bool' = False, + exclude_defaults: 'bool' = False, + exclude_none: 'bool' = False, + encoder: 'typing.Callable[[Any], Any] | None' = PydanticUndefined, + models_as_dict: 'bool' = PydanticUndefined, + **dumps_kwargs: 'Any' +) -> 'str' +``` + + +#### model_copy + +```python3 +def model_copy( + self: 'Model', + *, + update: 'dict[str, Any] | None' = None, + deep: 'bool' = False +) -> 'Model' +``` + +Usage docs: https://docs.pydantic.dev/2.5/concepts/serialization/#model_copy + +Returns a copy of the model. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| update | None | Values to change/add in the new model. Note: the data is not validated
before creating the new model. You should trust this data. | None | +| deep | None | Set to `True` to make a deep copy of the model. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | New model instance. | + + +#### model_dump + +```python3 +def model_dump( + self, + *, + mode: "Literal[('json', 'python')] | str" = 'python', + include: 'IncEx' = None, + exclude: 'IncEx' = None, + by_alias: 'bool' = False, + exclude_unset: 'bool' = False, + exclude_defaults: 'bool' = False, + exclude_none: 'bool' = False, + round_trip: 'bool' = False, + warnings: 'bool' = True +) -> 'dict[str, Any]' +``` + +Usage docs: https://docs.pydantic.dev/2.5/concepts/serialization/#modelmodel_dump + +Generate a dictionary representation of the model, optionally specifying which fields to include or exclude. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| mode | None | The mode in which `to_python` should run.
If mode is 'json', the dictionary will only contain JSON serializable types.
If mode is 'python', the dictionary may contain any Python objects. | None | +| include | None | A list of fields to include in the output. | None | +| exclude | None | A list of fields to exclude from the output. | None | +| by_alias | None | Whether to use the field's alias in the dictionary key if defined. | None | +| exclude_unset | None | Whether to exclude fields that have not been explicitly set. | None | +| exclude_defaults | None | Whether to exclude fields that are set to their default value from the output. | None | +| exclude_none | None | Whether to exclude fields that have a value of `None` from the output. | None | +| round_trip | None | Whether to enable serialization and deserialization round-trip support. | None | +| warnings | None | Whether to log warnings when invalid fields are encountered. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | A dictionary representation of the model. | + + +#### model_dump_json + +```python3 +def model_dump_json( + self, + *, + indent: 'int | None' = None, + include: 'IncEx' = None, + exclude: 'IncEx' = None, + by_alias: 'bool' = False, + exclude_unset: 'bool' = False, + exclude_defaults: 'bool' = False, + exclude_none: 'bool' = False, + round_trip: 'bool' = False, + warnings: 'bool' = True +) -> 'str' +``` + +Usage docs: https://docs.pydantic.dev/2.5/concepts/serialization/#modelmodel_dump_json + +Generates a JSON representation of the model using Pydantic's `to_json` method. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| indent | None | Indentation to use in the JSON output. If None is passed, the output will be compact. | None | +| include | None | Field(s) to include in the JSON output. Can take either a string or set of strings. | None | +| exclude | None | Field(s) to exclude from the JSON output. Can take either a string or set of strings. | None | +| by_alias | None | Whether to serialize using field aliases. | None | +| exclude_unset | None | Whether to exclude fields that have not been explicitly set. | None | +| exclude_defaults | None | Whether to exclude fields that have the default value. | None | +| exclude_none | None | Whether to exclude fields that have a value of `None`. | None | +| round_trip | None | Whether to use serialization/deserialization between JSON and class instance. | None | +| warnings | None | Whether to show any warnings that occurred during serialization. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | A JSON string representation of the model. | + + +#### model_post_init + +```python3 +def model_post_init( + self, + _BaseModel__context: 'Any' +) -> 'None' +``` + +Override this method to perform additional initialization after `__init__` and `model_construct`. + +This is useful if you want to do some validation that requires the entire model to be initialized. + +### Infos + +```python3 +class Infos( + __pydantic_self__, + **data: 'Any' +) +``` + +Response model for /list endpoint. + +#### Ancestors (in MRO) + +* pydantic.main.BaseModel + +#### Class variables + +```python3 +model_config +``` + +```python3 +model_fields +``` + +#### Static methods + + +#### construct + +```python3 +def construct( + _fields_set: 'set[str] | None' = None, + **values: 'Any' +) -> 'Model' +``` + + +#### from_orm + +```python3 +def from_orm( + obj: 'Any' +) -> 'Model' +``` + + +#### model_construct + +```python3 +def model_construct( + _fields_set: 'set[str] | None' = None, + **values: 'Any' +) -> 'Model' +``` + +Creates a new instance of the `Model` class with validated data. + +Creates a new model setting `__dict__` and `__pydantic_fields_set__` from trusted or pre-validated data. +Default values are respected, but no other validation is performed. +Behaves as if `Config.extra = 'allow'` was set since it adds all passed values + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| _fields_set | None | The set of field names accepted for the Model instance. | None | +| values | None | Trusted or pre-validated data dictionary. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | A new instance of the `Model` class with validated data. | + + +#### model_json_schema + +```python3 +def model_json_schema( + by_alias: 'bool' = True, + ref_template: 'str' = '#/$defs/{model}', + schema_generator: 'type[GenerateJsonSchema]' = , + mode: 'JsonSchemaMode' = 'validation' +) -> 'dict[str, Any]' +``` + +Generates a JSON schema for a model class. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| by_alias | None | Whether to use attribute aliases or not. | None | +| ref_template | None | The reference template. | None | +| schema_generator | None | To override the logic used to generate the JSON schema, as a subclass of
`GenerateJsonSchema` with your desired modifications | None | +| mode | None | The mode in which to generate the schema. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | The JSON schema for the given model class. | + + +#### model_parametrized_name + +```python3 +def model_parametrized_name( + params: 'tuple[type[Any], ...]' +) -> 'str' +``` + +Compute the class name for parametrizations of generic classes. + +This method can be overridden to achieve a custom naming scheme for generic BaseModels. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| params | None | Tuple of types of the class. Given a generic class
`Model` with 2 type variables and a concrete model `Model[str, int]`,
the value `(str, int)` would be passed to `params`. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | String representing the new class where `params` are passed to `cls` as type variables. | + +**Raises:** + +| Type | Description | +|---|---| +| TypeError | Raised when trying to generate concrete names for non-generic models. | + + +#### model_rebuild + +```python3 +def model_rebuild( + *, + force: 'bool' = False, + raise_errors: 'bool' = True, + _parent_namespace_depth: 'int' = 2, + _types_namespace: 'dict[str, Any] | None' = None +) -> 'bool | None' +``` + +Try to rebuild the pydantic-core schema for the model. + +This may be necessary when one of the annotations is a ForwardRef which could not be resolved during +the initial attempt to build the schema, and automatic rebuilding fails. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| force | None | Whether to force the rebuilding of the model schema, defaults to `False`. | None | +| raise_errors | None | Whether to raise errors, defaults to `True`. | None | +| _parent_namespace_depth | None | The depth level of the parent namespace, defaults to 2. | None | +| _types_namespace | None | The types namespace, defaults to `None`. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | Returns `None` if the schema is already "complete" and rebuilding was not required.
If rebuilding _was_ required, returns `True` if rebuilding was successful, otherwise `False`. | + + +#### model_validate + +```python3 +def model_validate( + obj: 'Any', + *, + strict: 'bool | None' = None, + from_attributes: 'bool | None' = None, + context: 'dict[str, Any] | None' = None +) -> 'Model' +``` + +Validate a pydantic model instance. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| obj | None | The object to validate. | None | +| strict | None | Whether to raise an exception on invalid fields. | None | +| from_attributes | None | Whether to extract data from object attributes. | None | +| context | None | Additional context to pass to the validator. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | The validated model instance. | + +**Raises:** + +| Type | Description | +|---|---| +| ValidationError | If the object could not be validated. | + + +#### model_validate_json + +```python3 +def model_validate_json( + json_data: 'str | bytes | bytearray', + *, + strict: 'bool | None' = None, + context: 'dict[str, Any] | None' = None +) -> 'Model' +``` + +Usage docs: https://docs.pydantic.dev/2.5/concepts/json/#json-parsing + +Validate the given JSON data against the Pydantic model. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| json_data | None | The JSON data to validate. | None | +| strict | None | Whether to enforce types strictly. | None | +| context | None | Extra variables to pass to the validator. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | The validated Pydantic model. | + +**Raises:** + +| Type | Description | +|---|---| +| ValueError | If `json_data` is not a JSON string. | + + +#### model_validate_strings + +```python3 +def model_validate_strings( + obj: 'Any', + *, + strict: 'bool | None' = None, + context: 'dict[str, Any] | None' = None +) -> 'Model' +``` + +Validate the given object contains string data against the Pydantic model. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| obj | None | The object contains string data to validate. | None | +| strict | None | Whether to enforce types strictly. | None | +| context | None | Extra variables to pass to the validator. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | The validated Pydantic model. | + + +#### parse_file + +```python3 +def parse_file( + path: 'str | Path', + *, + content_type: 'str | None' = None, + encoding: 'str' = 'utf8', + proto: 'DeprecatedParseProtocol | None' = None, + allow_pickle: 'bool' = False +) -> 'Model' +``` + + +#### parse_obj + +```python3 +def parse_obj( + obj: 'Any' +) -> 'Model' +``` + + +#### parse_raw + +```python3 +def parse_raw( + b: 'str | bytes', + *, + content_type: 'str | None' = None, + encoding: 'str' = 'utf8', + proto: 'DeprecatedParseProtocol | None' = None, + allow_pickle: 'bool' = False +) -> 'Model' +``` + + +#### schema + +```python3 +def schema( + by_alias: 'bool' = True, + ref_template: 'str' = '#/$defs/{model}' +) -> 'typing.Dict[str, Any]' +``` + + +#### schema_json + +```python3 +def schema_json( + *, + by_alias: 'bool' = True, + ref_template: 'str' = '#/$defs/{model}', + **dumps_kwargs: 'Any' +) -> 'str' +``` + + +#### update_forward_refs + +```python3 +def update_forward_refs( + **localns: 'Any' +) -> 'None' +``` + + +#### validate + +```python3 +def validate( + value: 'Any' +) -> 'Model' +``` + +#### Instance variables + +```python3 +model_computed_fields +``` + +Get the computed fields of this model instance. + +```python3 +model_extra +``` + +Get extra fields set during validation. + +```python3 +model_fields_set +``` + +Returns the set of fields that have been explicitly set on this model instance. + +#### Methods + + +#### copy + +```python3 +def copy( + self: 'Model', + *, + include: 'AbstractSetIntStr | MappingIntStrAny | None' = None, + exclude: 'AbstractSetIntStr | MappingIntStrAny | None' = None, + update: 'typing.Dict[str, Any] | None' = None, + deep: 'bool' = False +) -> 'Model' +``` + +Returns a copy of the model. + +!!! warning "Deprecated" + This method is now deprecated; use `model_copy` instead. + +If you need `include` or `exclude`, use: + +```py +data = self.model_dump(include=include, exclude=exclude, round_trip=True) +data = {**data, **(update or {})} +copied = self.model_validate(data) +``` + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| include | None | Optional set or mapping
specifying which fields to include in the copied model. | None | +| exclude | None | Optional set or mapping
specifying which fields to exclude in the copied model. | None | +| update | None | Optional dictionary of field-value pairs to override field values
in the copied model. | None | +| deep | None | If True, the values of fields that are Pydantic models will be deep copied. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | A copy of the model with included, excluded and updated fields as specified. | + + +#### dict + +```python3 +def dict( + self, + *, + include: 'IncEx' = None, + exclude: 'IncEx' = None, + by_alias: 'bool' = False, + exclude_unset: 'bool' = False, + exclude_defaults: 'bool' = False, + exclude_none: 'bool' = False +) -> 'typing.Dict[str, Any]' +``` + + +#### json + +```python3 +def json( + self, + *, + include: 'IncEx' = None, + exclude: 'IncEx' = None, + by_alias: 'bool' = False, + exclude_unset: 'bool' = False, + exclude_defaults: 'bool' = False, + exclude_none: 'bool' = False, + encoder: 'typing.Callable[[Any], Any] | None' = PydanticUndefined, + models_as_dict: 'bool' = PydanticUndefined, + **dumps_kwargs: 'Any' +) -> 'str' +``` + + +#### model_copy + +```python3 +def model_copy( + self: 'Model', + *, + update: 'dict[str, Any] | None' = None, + deep: 'bool' = False +) -> 'Model' +``` + +Usage docs: https://docs.pydantic.dev/2.5/concepts/serialization/#model_copy + +Returns a copy of the model. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| update | None | Values to change/add in the new model. Note: the data is not validated
before creating the new model. You should trust this data. | None | +| deep | None | Set to `True` to make a deep copy of the model. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | New model instance. | + + +#### model_dump + +```python3 +def model_dump( + self, + *, + mode: "Literal[('json', 'python')] | str" = 'python', + include: 'IncEx' = None, + exclude: 'IncEx' = None, + by_alias: 'bool' = False, + exclude_unset: 'bool' = False, + exclude_defaults: 'bool' = False, + exclude_none: 'bool' = False, + round_trip: 'bool' = False, + warnings: 'bool' = True +) -> 'dict[str, Any]' +``` + +Usage docs: https://docs.pydantic.dev/2.5/concepts/serialization/#modelmodel_dump + +Generate a dictionary representation of the model, optionally specifying which fields to include or exclude. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| mode | None | The mode in which `to_python` should run.
If mode is 'json', the dictionary will only contain JSON serializable types.
If mode is 'python', the dictionary may contain any Python objects. | None | +| include | None | A list of fields to include in the output. | None | +| exclude | None | A list of fields to exclude from the output. | None | +| by_alias | None | Whether to use the field's alias in the dictionary key if defined. | None | +| exclude_unset | None | Whether to exclude fields that have not been explicitly set. | None | +| exclude_defaults | None | Whether to exclude fields that are set to their default value from the output. | None | +| exclude_none | None | Whether to exclude fields that have a value of `None` from the output. | None | +| round_trip | None | Whether to enable serialization and deserialization round-trip support. | None | +| warnings | None | Whether to log warnings when invalid fields are encountered. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | A dictionary representation of the model. | + + +#### model_dump_json + +```python3 +def model_dump_json( + self, + *, + indent: 'int | None' = None, + include: 'IncEx' = None, + exclude: 'IncEx' = None, + by_alias: 'bool' = False, + exclude_unset: 'bool' = False, + exclude_defaults: 'bool' = False, + exclude_none: 'bool' = False, + round_trip: 'bool' = False, + warnings: 'bool' = True +) -> 'str' +``` + +Usage docs: https://docs.pydantic.dev/2.5/concepts/serialization/#modelmodel_dump_json + +Generates a JSON representation of the model using Pydantic's `to_json` method. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| indent | None | Indentation to use in the JSON output. If None is passed, the output will be compact. | None | +| include | None | Field(s) to include in the JSON output. Can take either a string or set of strings. | None | +| exclude | None | Field(s) to exclude from the JSON output. Can take either a string or set of strings. | None | +| by_alias | None | Whether to serialize using field aliases. | None | +| exclude_unset | None | Whether to exclude fields that have not been explicitly set. | None | +| exclude_defaults | None | Whether to exclude fields that have the default value. | None | +| exclude_none | None | Whether to exclude fields that have a value of `None`. | None | +| round_trip | None | Whether to use serialization/deserialization between JSON and class instance. | None | +| warnings | None | Whether to show any warnings that occurred during serialization. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | A JSON string representation of the model. | + + +#### model_post_init + +```python3 +def model_post_init( + self, + _BaseModel__context: 'Any' +) -> 'None' +``` + +Override this method to perform additional initialization after `__init__` and `model_construct`. + +This is useful if you want to do some validation that requires the entire model to be initialized. + +### Link + +```python3 +class Link( + __pydantic_self__, + **data: 'Any' +) +``` + +Link model. + +Ref: http://schemas.opengis.net/ogcapi/features/part1/1.0/openapi/schemas/link.yaml + +#### Ancestors (in MRO) + +* pydantic.main.BaseModel + +#### Class variables + +```python3 +model_config +``` + +```python3 +model_fields +``` + +#### Static methods + + +#### construct + +```python3 +def construct( + _fields_set: 'set[str] | None' = None, + **values: 'Any' +) -> 'Model' +``` + + +#### from_orm + +```python3 +def from_orm( + obj: 'Any' +) -> 'Model' +``` + + +#### model_construct + +```python3 +def model_construct( + _fields_set: 'set[str] | None' = None, + **values: 'Any' +) -> 'Model' +``` + +Creates a new instance of the `Model` class with validated data. + +Creates a new model setting `__dict__` and `__pydantic_fields_set__` from trusted or pre-validated data. +Default values are respected, but no other validation is performed. +Behaves as if `Config.extra = 'allow'` was set since it adds all passed values + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| _fields_set | None | The set of field names accepted for the Model instance. | None | +| values | None | Trusted or pre-validated data dictionary. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | A new instance of the `Model` class with validated data. | + + +#### model_json_schema + +```python3 +def model_json_schema( + by_alias: 'bool' = True, + ref_template: 'str' = '#/$defs/{model}', + schema_generator: 'type[GenerateJsonSchema]' = , + mode: 'JsonSchemaMode' = 'validation' +) -> 'dict[str, Any]' +``` + +Generates a JSON schema for a model class. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| by_alias | None | Whether to use attribute aliases or not. | None | +| ref_template | None | The reference template. | None | +| schema_generator | None | To override the logic used to generate the JSON schema, as a subclass of
`GenerateJsonSchema` with your desired modifications | None | +| mode | None | The mode in which to generate the schema. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | The JSON schema for the given model class. | + + +#### model_parametrized_name + +```python3 +def model_parametrized_name( + params: 'tuple[type[Any], ...]' +) -> 'str' +``` + +Compute the class name for parametrizations of generic classes. + +This method can be overridden to achieve a custom naming scheme for generic BaseModels. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| params | None | Tuple of types of the class. Given a generic class
`Model` with 2 type variables and a concrete model `Model[str, int]`,
the value `(str, int)` would be passed to `params`. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | String representing the new class where `params` are passed to `cls` as type variables. | + +**Raises:** + +| Type | Description | +|---|---| +| TypeError | Raised when trying to generate concrete names for non-generic models. | + + +#### model_rebuild + +```python3 +def model_rebuild( + *, + force: 'bool' = False, + raise_errors: 'bool' = True, + _parent_namespace_depth: 'int' = 2, + _types_namespace: 'dict[str, Any] | None' = None +) -> 'bool | None' +``` + +Try to rebuild the pydantic-core schema for the model. + +This may be necessary when one of the annotations is a ForwardRef which could not be resolved during +the initial attempt to build the schema, and automatic rebuilding fails. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| force | None | Whether to force the rebuilding of the model schema, defaults to `False`. | None | +| raise_errors | None | Whether to raise errors, defaults to `True`. | None | +| _parent_namespace_depth | None | The depth level of the parent namespace, defaults to 2. | None | +| _types_namespace | None | The types namespace, defaults to `None`. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | Returns `None` if the schema is already "complete" and rebuilding was not required.
If rebuilding _was_ required, returns `True` if rebuilding was successful, otherwise `False`. | + + +#### model_validate + +```python3 +def model_validate( + obj: 'Any', + *, + strict: 'bool | None' = None, + from_attributes: 'bool | None' = None, + context: 'dict[str, Any] | None' = None +) -> 'Model' +``` + +Validate a pydantic model instance. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| obj | None | The object to validate. | None | +| strict | None | Whether to raise an exception on invalid fields. | None | +| from_attributes | None | Whether to extract data from object attributes. | None | +| context | None | Additional context to pass to the validator. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | The validated model instance. | + +**Raises:** + +| Type | Description | +|---|---| +| ValidationError | If the object could not be validated. | + + +#### model_validate_json + +```python3 +def model_validate_json( + json_data: 'str | bytes | bytearray', + *, + strict: 'bool | None' = None, + context: 'dict[str, Any] | None' = None +) -> 'Model' +``` + +Usage docs: https://docs.pydantic.dev/2.5/concepts/json/#json-parsing + +Validate the given JSON data against the Pydantic model. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| json_data | None | The JSON data to validate. | None | +| strict | None | Whether to enforce types strictly. | None | +| context | None | Extra variables to pass to the validator. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | The validated Pydantic model. | + +**Raises:** + +| Type | Description | +|---|---| +| ValueError | If `json_data` is not a JSON string. | + + +#### model_validate_strings + +```python3 +def model_validate_strings( + obj: 'Any', + *, + strict: 'bool | None' = None, + context: 'dict[str, Any] | None' = None +) -> 'Model' +``` + +Validate the given object contains string data against the Pydantic model. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| obj | None | The object contains string data to validate. | None | +| strict | None | Whether to enforce types strictly. | None | +| context | None | Extra variables to pass to the validator. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | The validated Pydantic model. | + + +#### parse_file + +```python3 +def parse_file( + path: 'str | Path', + *, + content_type: 'str | None' = None, + encoding: 'str' = 'utf8', + proto: 'DeprecatedParseProtocol | None' = None, + allow_pickle: 'bool' = False +) -> 'Model' +``` + + +#### parse_obj + +```python3 +def parse_obj( + obj: 'Any' +) -> 'Model' +``` + + +#### parse_raw + +```python3 +def parse_raw( + b: 'str | bytes', + *, + content_type: 'str | None' = None, + encoding: 'str' = 'utf8', + proto: 'DeprecatedParseProtocol | None' = None, + allow_pickle: 'bool' = False +) -> 'Model' +``` + + +#### schema + +```python3 +def schema( + by_alias: 'bool' = True, + ref_template: 'str' = '#/$defs/{model}' +) -> 'typing.Dict[str, Any]' +``` + + +#### schema_json + +```python3 +def schema_json( + *, + by_alias: 'bool' = True, + ref_template: 'str' = '#/$defs/{model}', + **dumps_kwargs: 'Any' +) -> 'str' +``` + + +#### update_forward_refs + +```python3 +def update_forward_refs( + **localns: 'Any' +) -> 'None' +``` + + +#### validate + +```python3 +def validate( + value: 'Any' +) -> 'Model' +``` + +#### Instance variables + +```python3 +model_computed_fields +``` + +Get the computed fields of this model instance. + +```python3 +model_extra +``` + +Get extra fields set during validation. + +```python3 +model_fields_set +``` + +Returns the set of fields that have been explicitly set on this model instance. + +#### Methods + + +#### copy + +```python3 +def copy( + self: 'Model', + *, + include: 'AbstractSetIntStr | MappingIntStrAny | None' = None, + exclude: 'AbstractSetIntStr | MappingIntStrAny | None' = None, + update: 'typing.Dict[str, Any] | None' = None, + deep: 'bool' = False +) -> 'Model' +``` + +Returns a copy of the model. + +!!! warning "Deprecated" + This method is now deprecated; use `model_copy` instead. + +If you need `include` or `exclude`, use: + +```py +data = self.model_dump(include=include, exclude=exclude, round_trip=True) +data = {**data, **(update or {})} +copied = self.model_validate(data) +``` + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| include | None | Optional set or mapping
specifying which fields to include in the copied model. | None | +| exclude | None | Optional set or mapping
specifying which fields to exclude in the copied model. | None | +| update | None | Optional dictionary of field-value pairs to override field values
in the copied model. | None | +| deep | None | If True, the values of fields that are Pydantic models will be deep copied. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | A copy of the model with included, excluded and updated fields as specified. | + + +#### dict + +```python3 +def dict( + self, + *, + include: 'IncEx' = None, + exclude: 'IncEx' = None, + by_alias: 'bool' = False, + exclude_unset: 'bool' = False, + exclude_defaults: 'bool' = False, + exclude_none: 'bool' = False +) -> 'typing.Dict[str, Any]' +``` + + +#### json + +```python3 +def json( + self, + *, + include: 'IncEx' = None, + exclude: 'IncEx' = None, + by_alias: 'bool' = False, + exclude_unset: 'bool' = False, + exclude_defaults: 'bool' = False, + exclude_none: 'bool' = False, + encoder: 'typing.Callable[[Any], Any] | None' = PydanticUndefined, + models_as_dict: 'bool' = PydanticUndefined, + **dumps_kwargs: 'Any' +) -> 'str' +``` + + +#### model_copy + +```python3 +def model_copy( + self: 'Model', + *, + update: 'dict[str, Any] | None' = None, + deep: 'bool' = False +) -> 'Model' +``` + +Usage docs: https://docs.pydantic.dev/2.5/concepts/serialization/#model_copy + +Returns a copy of the model. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| update | None | Values to change/add in the new model. Note: the data is not validated
before creating the new model. You should trust this data. | None | +| deep | None | Set to `True` to make a deep copy of the model. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | New model instance. | + + +#### model_dump + +```python3 +def model_dump( + self, + *, + mode: "Literal[('json', 'python')] | str" = 'python', + include: 'IncEx' = None, + exclude: 'IncEx' = None, + by_alias: 'bool' = False, + exclude_unset: 'bool' = False, + exclude_defaults: 'bool' = False, + exclude_none: 'bool' = False, + round_trip: 'bool' = False, + warnings: 'bool' = True +) -> 'dict[str, Any]' +``` + +Usage docs: https://docs.pydantic.dev/2.5/concepts/serialization/#modelmodel_dump + +Generate a dictionary representation of the model, optionally specifying which fields to include or exclude. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| mode | None | The mode in which `to_python` should run.
If mode is 'json', the dictionary will only contain JSON serializable types.
If mode is 'python', the dictionary may contain any Python objects. | None | +| include | None | A list of fields to include in the output. | None | +| exclude | None | A list of fields to exclude from the output. | None | +| by_alias | None | Whether to use the field's alias in the dictionary key if defined. | None | +| exclude_unset | None | Whether to exclude fields that have not been explicitly set. | None | +| exclude_defaults | None | Whether to exclude fields that are set to their default value from the output. | None | +| exclude_none | None | Whether to exclude fields that have a value of `None` from the output. | None | +| round_trip | None | Whether to enable serialization and deserialization round-trip support. | None | +| warnings | None | Whether to log warnings when invalid fields are encountered. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | A dictionary representation of the model. | + + +#### model_dump_json + +```python3 +def model_dump_json( + self, + *, + indent: 'int | None' = None, + include: 'IncEx' = None, + exclude: 'IncEx' = None, + by_alias: 'bool' = False, + exclude_unset: 'bool' = False, + exclude_defaults: 'bool' = False, + exclude_none: 'bool' = False, + round_trip: 'bool' = False, + warnings: 'bool' = True +) -> 'str' +``` + +Usage docs: https://docs.pydantic.dev/2.5/concepts/serialization/#modelmodel_dump_json + +Generates a JSON representation of the model using Pydantic's `to_json` method. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| indent | None | Indentation to use in the JSON output. If None is passed, the output will be compact. | None | +| include | None | Field(s) to include in the JSON output. Can take either a string or set of strings. | None | +| exclude | None | Field(s) to exclude from the JSON output. Can take either a string or set of strings. | None | +| by_alias | None | Whether to serialize using field aliases. | None | +| exclude_unset | None | Whether to exclude fields that have not been explicitly set. | None | +| exclude_defaults | None | Whether to exclude fields that have the default value. | None | +| exclude_none | None | Whether to exclude fields that have a value of `None`. | None | +| round_trip | None | Whether to use serialization/deserialization between JSON and class instance. | None | +| warnings | None | Whether to show any warnings that occurred during serialization. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | A JSON string representation of the model. | + + +#### model_post_init + +```python3 +def model_post_init( + self, + _BaseModel__context: 'Any' +) -> 'None' +``` + +Override this method to perform additional initialization after `__init__` and `model_construct`. + +This is useful if you want to do some validation that requires the entire model to be initialized. + +### Metadata + +```python3 +class Metadata( + __pydantic_self__, + **data: 'Any' +) +``` + +Metadata Model. + +#### Ancestors (in MRO) + +* pydantic.main.BaseModel + +#### Class variables + +```python3 +model_config +``` + +```python3 +model_fields +``` + +#### Static methods + + +#### construct + +```python3 +def construct( + _fields_set: 'set[str] | None' = None, + **values: 'Any' +) -> 'Model' +``` + + +#### from_orm + +```python3 +def from_orm( + obj: 'Any' +) -> 'Model' +``` + + +#### model_construct + +```python3 +def model_construct( + _fields_set: 'set[str] | None' = None, + **values: 'Any' +) -> 'Model' +``` + +Creates a new instance of the `Model` class with validated data. + +Creates a new model setting `__dict__` and `__pydantic_fields_set__` from trusted or pre-validated data. +Default values are respected, but no other validation is performed. +Behaves as if `Config.extra = 'allow'` was set since it adds all passed values + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| _fields_set | None | The set of field names accepted for the Model instance. | None | +| values | None | Trusted or pre-validated data dictionary. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | A new instance of the `Model` class with validated data. | + + +#### model_json_schema + +```python3 +def model_json_schema( + by_alias: 'bool' = True, + ref_template: 'str' = '#/$defs/{model}', + schema_generator: 'type[GenerateJsonSchema]' = , + mode: 'JsonSchemaMode' = 'validation' +) -> 'dict[str, Any]' +``` + +Generates a JSON schema for a model class. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| by_alias | None | Whether to use attribute aliases or not. | None | +| ref_template | None | The reference template. | None | +| schema_generator | None | To override the logic used to generate the JSON schema, as a subclass of
`GenerateJsonSchema` with your desired modifications | None | +| mode | None | The mode in which to generate the schema. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | The JSON schema for the given model class. | + + +#### model_parametrized_name + +```python3 +def model_parametrized_name( + params: 'tuple[type[Any], ...]' +) -> 'str' +``` + +Compute the class name for parametrizations of generic classes. + +This method can be overridden to achieve a custom naming scheme for generic BaseModels. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| params | None | Tuple of types of the class. Given a generic class
`Model` with 2 type variables and a concrete model `Model[str, int]`,
the value `(str, int)` would be passed to `params`. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | String representing the new class where `params` are passed to `cls` as type variables. | + +**Raises:** + +| Type | Description | +|---|---| +| TypeError | Raised when trying to generate concrete names for non-generic models. | + + +#### model_rebuild + +```python3 +def model_rebuild( + *, + force: 'bool' = False, + raise_errors: 'bool' = True, + _parent_namespace_depth: 'int' = 2, + _types_namespace: 'dict[str, Any] | None' = None +) -> 'bool | None' +``` + +Try to rebuild the pydantic-core schema for the model. + +This may be necessary when one of the annotations is a ForwardRef which could not be resolved during +the initial attempt to build the schema, and automatic rebuilding fails. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| force | None | Whether to force the rebuilding of the model schema, defaults to `False`. | None | +| raise_errors | None | Whether to raise errors, defaults to `True`. | None | +| _parent_namespace_depth | None | The depth level of the parent namespace, defaults to 2. | None | +| _types_namespace | None | The types namespace, defaults to `None`. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | Returns `None` if the schema is already "complete" and rebuilding was not required.
If rebuilding _was_ required, returns `True` if rebuilding was successful, otherwise `False`. | + + +#### model_validate + +```python3 +def model_validate( + obj: 'Any', + *, + strict: 'bool | None' = None, + from_attributes: 'bool | None' = None, + context: 'dict[str, Any] | None' = None +) -> 'Model' +``` + +Validate a pydantic model instance. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| obj | None | The object to validate. | None | +| strict | None | Whether to raise an exception on invalid fields. | None | +| from_attributes | None | Whether to extract data from object attributes. | None | +| context | None | Additional context to pass to the validator. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | The validated model instance. | + +**Raises:** + +| Type | Description | +|---|---| +| ValidationError | If the object could not be validated. | + + +#### model_validate_json + +```python3 +def model_validate_json( + json_data: 'str | bytes | bytearray', + *, + strict: 'bool | None' = None, + context: 'dict[str, Any] | None' = None +) -> 'Model' +``` + +Usage docs: https://docs.pydantic.dev/2.5/concepts/json/#json-parsing + +Validate the given JSON data against the Pydantic model. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| json_data | None | The JSON data to validate. | None | +| strict | None | Whether to enforce types strictly. | None | +| context | None | Extra variables to pass to the validator. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | The validated Pydantic model. | + +**Raises:** + +| Type | Description | +|---|---| +| ValueError | If `json_data` is not a JSON string. | + + +#### model_validate_strings + +```python3 +def model_validate_strings( + obj: 'Any', + *, + strict: 'bool | None' = None, + context: 'dict[str, Any] | None' = None +) -> 'Model' +``` + +Validate the given object contains string data against the Pydantic model. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| obj | None | The object contains string data to validate. | None | +| strict | None | Whether to enforce types strictly. | None | +| context | None | Extra variables to pass to the validator. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | The validated Pydantic model. | + + +#### parse_file + +```python3 +def parse_file( + path: 'str | Path', + *, + content_type: 'str | None' = None, + encoding: 'str' = 'utf8', + proto: 'DeprecatedParseProtocol | None' = None, + allow_pickle: 'bool' = False +) -> 'Model' +``` + + +#### parse_obj + +```python3 +def parse_obj( + obj: 'Any' +) -> 'Model' +``` + + +#### parse_raw + +```python3 +def parse_raw( + b: 'str | bytes', + *, + content_type: 'str | None' = None, + encoding: 'str' = 'utf8', + proto: 'DeprecatedParseProtocol | None' = None, + allow_pickle: 'bool' = False +) -> 'Model' +``` + + +#### schema + +```python3 +def schema( + by_alias: 'bool' = True, + ref_template: 'str' = '#/$defs/{model}' +) -> 'typing.Dict[str, Any]' +``` + + +#### schema_json + +```python3 +def schema_json( + *, + by_alias: 'bool' = True, + ref_template: 'str' = '#/$defs/{model}', + **dumps_kwargs: 'Any' +) -> 'str' +``` + + +#### update_forward_refs + +```python3 +def update_forward_refs( + **localns: 'Any' +) -> 'None' +``` + + +#### validate + +```python3 +def validate( + value: 'Any' +) -> 'Model' +``` + +#### Instance variables + +```python3 +model_computed_fields +``` + +Get the computed fields of this model instance. + +```python3 +model_extra +``` + +Get extra fields set during validation. + +```python3 +model_fields_set +``` + +Returns the set of fields that have been explicitly set on this model instance. + +#### Methods + + +#### copy + +```python3 +def copy( + self: 'Model', + *, + include: 'AbstractSetIntStr | MappingIntStrAny | None' = None, + exclude: 'AbstractSetIntStr | MappingIntStrAny | None' = None, + update: 'typing.Dict[str, Any] | None' = None, + deep: 'bool' = False +) -> 'Model' +``` + +Returns a copy of the model. + +!!! warning "Deprecated" + This method is now deprecated; use `model_copy` instead. + +If you need `include` or `exclude`, use: + +```py +data = self.model_dump(include=include, exclude=exclude, round_trip=True) +data = {**data, **(update or {})} +copied = self.model_validate(data) +``` + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| include | None | Optional set or mapping
specifying which fields to include in the copied model. | None | +| exclude | None | Optional set or mapping
specifying which fields to exclude in the copied model. | None | +| update | None | Optional dictionary of field-value pairs to override field values
in the copied model. | None | +| deep | None | If True, the values of fields that are Pydantic models will be deep copied. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | A copy of the model with included, excluded and updated fields as specified. | + + +#### dict + +```python3 +def dict( + self, + *, + include: 'IncEx' = None, + exclude: 'IncEx' = None, + by_alias: 'bool' = False, + exclude_unset: 'bool' = False, + exclude_defaults: 'bool' = False, + exclude_none: 'bool' = False +) -> 'typing.Dict[str, Any]' +``` + + +#### json + +```python3 +def json( + self, + *, + include: 'IncEx' = None, + exclude: 'IncEx' = None, + by_alias: 'bool' = False, + exclude_unset: 'bool' = False, + exclude_defaults: 'bool' = False, + exclude_none: 'bool' = False, + encoder: 'typing.Callable[[Any], Any] | None' = PydanticUndefined, + models_as_dict: 'bool' = PydanticUndefined, + **dumps_kwargs: 'Any' +) -> 'str' +``` + + +#### model_copy + +```python3 +def model_copy( + self: 'Model', + *, + update: 'dict[str, Any] | None' = None, + deep: 'bool' = False +) -> 'Model' +``` + +Usage docs: https://docs.pydantic.dev/2.5/concepts/serialization/#model_copy + +Returns a copy of the model. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| update | None | Values to change/add in the new model. Note: the data is not validated
before creating the new model. You should trust this data. | None | +| deep | None | Set to `True` to make a deep copy of the model. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | New model instance. | + + +#### model_dump + +```python3 +def model_dump( + self, + *, + mode: "Literal[('json', 'python')] | str" = 'python', + include: 'IncEx' = None, + exclude: 'IncEx' = None, + by_alias: 'bool' = False, + exclude_unset: 'bool' = False, + exclude_defaults: 'bool' = False, + exclude_none: 'bool' = False, + round_trip: 'bool' = False, + warnings: 'bool' = True +) -> 'dict[str, Any]' +``` + +Usage docs: https://docs.pydantic.dev/2.5/concepts/serialization/#modelmodel_dump + +Generate a dictionary representation of the model, optionally specifying which fields to include or exclude. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| mode | None | The mode in which `to_python` should run.
If mode is 'json', the dictionary will only contain JSON serializable types.
If mode is 'python', the dictionary may contain any Python objects. | None | +| include | None | A list of fields to include in the output. | None | +| exclude | None | A list of fields to exclude from the output. | None | +| by_alias | None | Whether to use the field's alias in the dictionary key if defined. | None | +| exclude_unset | None | Whether to exclude fields that have not been explicitly set. | None | +| exclude_defaults | None | Whether to exclude fields that are set to their default value from the output. | None | +| exclude_none | None | Whether to exclude fields that have a value of `None` from the output. | None | +| round_trip | None | Whether to enable serialization and deserialization round-trip support. | None | +| warnings | None | Whether to log warnings when invalid fields are encountered. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | A dictionary representation of the model. | + + +#### model_dump_json + +```python3 +def model_dump_json( + self, + *, + indent: 'int | None' = None, + include: 'IncEx' = None, + exclude: 'IncEx' = None, + by_alias: 'bool' = False, + exclude_unset: 'bool' = False, + exclude_defaults: 'bool' = False, + exclude_none: 'bool' = False, + round_trip: 'bool' = False, + warnings: 'bool' = True +) -> 'str' +``` + +Usage docs: https://docs.pydantic.dev/2.5/concepts/serialization/#modelmodel_dump_json + +Generates a JSON representation of the model using Pydantic's `to_json` method. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| indent | None | Indentation to use in the JSON output. If None is passed, the output will be compact. | None | +| include | None | Field(s) to include in the JSON output. Can take either a string or set of strings. | None | +| exclude | None | Field(s) to exclude from the JSON output. Can take either a string or set of strings. | None | +| by_alias | None | Whether to serialize using field aliases. | None | +| exclude_unset | None | Whether to exclude fields that have not been explicitly set. | None | +| exclude_defaults | None | Whether to exclude fields that have the default value. | None | +| exclude_none | None | Whether to exclude fields that have a value of `None`. | None | +| round_trip | None | Whether to use serialization/deserialization between JSON and class instance. | None | +| warnings | None | Whether to show any warnings that occurred during serialization. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | A JSON string representation of the model. | + + +#### model_post_init + +```python3 +def model_post_init( + self, + _BaseModel__context: 'Any' +) -> 'None' +``` + +Override this method to perform additional initialization after `__init__` and `model_construct`. + +This is useful if you want to do some validation that requires the entire model to be initialized. + +### PgSTACSearch + +```python3 +class PgSTACSearch( + __pydantic_self__, + **data: 'Any' +) +``` + +Search Query model. + +Notes/Diff with standard model: + - 'fields' is not in the Model because it's defined at the tiler level + - we don't set limit + +#### Ancestors (in MRO) + +* pydantic.main.BaseModel + +#### Descendants + +* titiler.pgstac.model.RegisterMosaic + +#### Class variables + +```python3 +model_config +``` + +```python3 +model_fields +``` + +#### Static methods + + +#### construct + +```python3 +def construct( + _fields_set: 'set[str] | None' = None, + **values: 'Any' +) -> 'Model' +``` + + +#### from_orm + +```python3 +def from_orm( + obj: 'Any' +) -> 'Model' +``` + + +#### model_construct + +```python3 +def model_construct( + _fields_set: 'set[str] | None' = None, + **values: 'Any' +) -> 'Model' +``` + +Creates a new instance of the `Model` class with validated data. + +Creates a new model setting `__dict__` and `__pydantic_fields_set__` from trusted or pre-validated data. +Default values are respected, but no other validation is performed. +Behaves as if `Config.extra = 'allow'` was set since it adds all passed values + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| _fields_set | None | The set of field names accepted for the Model instance. | None | +| values | None | Trusted or pre-validated data dictionary. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | A new instance of the `Model` class with validated data. | + + +#### model_json_schema + +```python3 +def model_json_schema( + by_alias: 'bool' = True, + ref_template: 'str' = '#/$defs/{model}', + schema_generator: 'type[GenerateJsonSchema]' = , + mode: 'JsonSchemaMode' = 'validation' +) -> 'dict[str, Any]' +``` + +Generates a JSON schema for a model class. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| by_alias | None | Whether to use attribute aliases or not. | None | +| ref_template | None | The reference template. | None | +| schema_generator | None | To override the logic used to generate the JSON schema, as a subclass of
`GenerateJsonSchema` with your desired modifications | None | +| mode | None | The mode in which to generate the schema. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | The JSON schema for the given model class. | + + +#### model_parametrized_name + +```python3 +def model_parametrized_name( + params: 'tuple[type[Any], ...]' +) -> 'str' +``` + +Compute the class name for parametrizations of generic classes. + +This method can be overridden to achieve a custom naming scheme for generic BaseModels. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| params | None | Tuple of types of the class. Given a generic class
`Model` with 2 type variables and a concrete model `Model[str, int]`,
the value `(str, int)` would be passed to `params`. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | String representing the new class where `params` are passed to `cls` as type variables. | + +**Raises:** + +| Type | Description | +|---|---| +| TypeError | Raised when trying to generate concrete names for non-generic models. | + + +#### model_rebuild + +```python3 +def model_rebuild( + *, + force: 'bool' = False, + raise_errors: 'bool' = True, + _parent_namespace_depth: 'int' = 2, + _types_namespace: 'dict[str, Any] | None' = None +) -> 'bool | None' +``` + +Try to rebuild the pydantic-core schema for the model. + +This may be necessary when one of the annotations is a ForwardRef which could not be resolved during +the initial attempt to build the schema, and automatic rebuilding fails. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| force | None | Whether to force the rebuilding of the model schema, defaults to `False`. | None | +| raise_errors | None | Whether to raise errors, defaults to `True`. | None | +| _parent_namespace_depth | None | The depth level of the parent namespace, defaults to 2. | None | +| _types_namespace | None | The types namespace, defaults to `None`. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | Returns `None` if the schema is already "complete" and rebuilding was not required.
If rebuilding _was_ required, returns `True` if rebuilding was successful, otherwise `False`. | + + +#### model_validate + +```python3 +def model_validate( + obj: 'Any', + *, + strict: 'bool | None' = None, + from_attributes: 'bool | None' = None, + context: 'dict[str, Any] | None' = None +) -> 'Model' +``` + +Validate a pydantic model instance. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| obj | None | The object to validate. | None | +| strict | None | Whether to raise an exception on invalid fields. | None | +| from_attributes | None | Whether to extract data from object attributes. | None | +| context | None | Additional context to pass to the validator. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | The validated model instance. | + +**Raises:** + +| Type | Description | +|---|---| +| ValidationError | If the object could not be validated. | + + +#### model_validate_json + +```python3 +def model_validate_json( + json_data: 'str | bytes | bytearray', + *, + strict: 'bool | None' = None, + context: 'dict[str, Any] | None' = None +) -> 'Model' +``` + +Usage docs: https://docs.pydantic.dev/2.5/concepts/json/#json-parsing + +Validate the given JSON data against the Pydantic model. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| json_data | None | The JSON data to validate. | None | +| strict | None | Whether to enforce types strictly. | None | +| context | None | Extra variables to pass to the validator. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | The validated Pydantic model. | + +**Raises:** + +| Type | Description | +|---|---| +| ValueError | If `json_data` is not a JSON string. | + + +#### model_validate_strings + +```python3 +def model_validate_strings( + obj: 'Any', + *, + strict: 'bool | None' = None, + context: 'dict[str, Any] | None' = None +) -> 'Model' +``` + +Validate the given object contains string data against the Pydantic model. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| obj | None | The object contains string data to validate. | None | +| strict | None | Whether to enforce types strictly. | None | +| context | None | Extra variables to pass to the validator. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | The validated Pydantic model. | + + +#### parse_file + +```python3 +def parse_file( + path: 'str | Path', + *, + content_type: 'str | None' = None, + encoding: 'str' = 'utf8', + proto: 'DeprecatedParseProtocol | None' = None, + allow_pickle: 'bool' = False +) -> 'Model' +``` + + +#### parse_obj + +```python3 +def parse_obj( + obj: 'Any' +) -> 'Model' +``` + + +#### parse_raw + +```python3 +def parse_raw( + b: 'str | bytes', + *, + content_type: 'str | None' = None, + encoding: 'str' = 'utf8', + proto: 'DeprecatedParseProtocol | None' = None, + allow_pickle: 'bool' = False +) -> 'Model' +``` + + +#### schema + +```python3 +def schema( + by_alias: 'bool' = True, + ref_template: 'str' = '#/$defs/{model}' +) -> 'typing.Dict[str, Any]' +``` + + +#### schema_json + +```python3 +def schema_json( + *, + by_alias: 'bool' = True, + ref_template: 'str' = '#/$defs/{model}', + **dumps_kwargs: 'Any' +) -> 'str' +``` + + +#### update_forward_refs + +```python3 +def update_forward_refs( + **localns: 'Any' +) -> 'None' +``` + + +#### validate + +```python3 +def validate( + value: 'Any' +) -> 'Model' +``` + + +#### validate_bbox + +```python3 +def validate_bbox( + v: Union[Tuple[float, float, float, float], Tuple[float, float, float, float, float, float]] +) +``` + +Validate BBOX. + + +#### validate_datetime + +```python3 +def validate_datetime( + v +) +``` + +Pgstac does not require the base validator for datetime. + + +#### validate_query_fields + +```python3 +def validate_query_fields( + values: Dict +) -> Dict +``` + +Pgstac does not require the base validator for query fields. + + +#### validate_spatial + +```python3 +def validate_spatial( + v: Union[typing_extensions.Annotated[Union[geojson_pydantic.geometries.Point, geojson_pydantic.geometries.MultiPoint, geojson_pydantic.geometries.LineString, geojson_pydantic.geometries.MultiLineString, geojson_pydantic.geometries.Polygon, geojson_pydantic.geometries.MultiPolygon, geojson_pydantic.geometries.GeometryCollection], FieldInfo(annotation=NoneType, required=True, discriminator='type')], NoneType], + info: pydantic_core.core_schema.ValidationInfo +) +``` + +Make sure bbox is not used with Intersects. + +#### Instance variables + +```python3 +model_computed_fields +``` + +Get the computed fields of this model instance. + +```python3 +model_extra +``` + +Get extra fields set during validation. + +```python3 +model_fields_set +``` + +Returns the set of fields that have been explicitly set on this model instance. + +#### Methods + + +#### copy + +```python3 +def copy( + self: 'Model', + *, + include: 'AbstractSetIntStr | MappingIntStrAny | None' = None, + exclude: 'AbstractSetIntStr | MappingIntStrAny | None' = None, + update: 'typing.Dict[str, Any] | None' = None, + deep: 'bool' = False +) -> 'Model' +``` + +Returns a copy of the model. + +!!! warning "Deprecated" + This method is now deprecated; use `model_copy` instead. + +If you need `include` or `exclude`, use: + +```py +data = self.model_dump(include=include, exclude=exclude, round_trip=True) +data = {**data, **(update or {})} +copied = self.model_validate(data) +``` + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| include | None | Optional set or mapping
specifying which fields to include in the copied model. | None | +| exclude | None | Optional set or mapping
specifying which fields to exclude in the copied model. | None | +| update | None | Optional dictionary of field-value pairs to override field values
in the copied model. | None | +| deep | None | If True, the values of fields that are Pydantic models will be deep copied. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | A copy of the model with included, excluded and updated fields as specified. | + + +#### dict + +```python3 +def dict( + self, + *, + include: 'IncEx' = None, + exclude: 'IncEx' = None, + by_alias: 'bool' = False, + exclude_unset: 'bool' = False, + exclude_defaults: 'bool' = False, + exclude_none: 'bool' = False +) -> 'typing.Dict[str, Any]' +``` + + +#### json + +```python3 +def json( + self, + *, + include: 'IncEx' = None, + exclude: 'IncEx' = None, + by_alias: 'bool' = False, + exclude_unset: 'bool' = False, + exclude_defaults: 'bool' = False, + exclude_none: 'bool' = False, + encoder: 'typing.Callable[[Any], Any] | None' = PydanticUndefined, + models_as_dict: 'bool' = PydanticUndefined, + **dumps_kwargs: 'Any' +) -> 'str' +``` + + +#### model_copy + +```python3 +def model_copy( + self: 'Model', + *, + update: 'dict[str, Any] | None' = None, + deep: 'bool' = False +) -> 'Model' +``` + +Usage docs: https://docs.pydantic.dev/2.5/concepts/serialization/#model_copy + +Returns a copy of the model. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| update | None | Values to change/add in the new model. Note: the data is not validated
before creating the new model. You should trust this data. | None | +| deep | None | Set to `True` to make a deep copy of the model. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | New model instance. | + + +#### model_dump + +```python3 +def model_dump( + self, + *, + mode: "Literal[('json', 'python')] | str" = 'python', + include: 'IncEx' = None, + exclude: 'IncEx' = None, + by_alias: 'bool' = False, + exclude_unset: 'bool' = False, + exclude_defaults: 'bool' = False, + exclude_none: 'bool' = False, + round_trip: 'bool' = False, + warnings: 'bool' = True +) -> 'dict[str, Any]' +``` + +Usage docs: https://docs.pydantic.dev/2.5/concepts/serialization/#modelmodel_dump + +Generate a dictionary representation of the model, optionally specifying which fields to include or exclude. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| mode | None | The mode in which `to_python` should run.
If mode is 'json', the dictionary will only contain JSON serializable types.
If mode is 'python', the dictionary may contain any Python objects. | None | +| include | None | A list of fields to include in the output. | None | +| exclude | None | A list of fields to exclude from the output. | None | +| by_alias | None | Whether to use the field's alias in the dictionary key if defined. | None | +| exclude_unset | None | Whether to exclude fields that have not been explicitly set. | None | +| exclude_defaults | None | Whether to exclude fields that are set to their default value from the output. | None | +| exclude_none | None | Whether to exclude fields that have a value of `None` from the output. | None | +| round_trip | None | Whether to enable serialization and deserialization round-trip support. | None | +| warnings | None | Whether to log warnings when invalid fields are encountered. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | A dictionary representation of the model. | + + +#### model_dump_json + +```python3 +def model_dump_json( + self, + *, + indent: 'int | None' = None, + include: 'IncEx' = None, + exclude: 'IncEx' = None, + by_alias: 'bool' = False, + exclude_unset: 'bool' = False, + exclude_defaults: 'bool' = False, + exclude_none: 'bool' = False, + round_trip: 'bool' = False, + warnings: 'bool' = True +) -> 'str' +``` + +Usage docs: https://docs.pydantic.dev/2.5/concepts/serialization/#modelmodel_dump_json + +Generates a JSON representation of the model using Pydantic's `to_json` method. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| indent | None | Indentation to use in the JSON output. If None is passed, the output will be compact. | None | +| include | None | Field(s) to include in the JSON output. Can take either a string or set of strings. | None | +| exclude | None | Field(s) to exclude from the JSON output. Can take either a string or set of strings. | None | +| by_alias | None | Whether to serialize using field aliases. | None | +| exclude_unset | None | Whether to exclude fields that have not been explicitly set. | None | +| exclude_defaults | None | Whether to exclude fields that have the default value. | None | +| exclude_none | None | Whether to exclude fields that have a value of `None`. | None | +| round_trip | None | Whether to use serialization/deserialization between JSON and class instance. | None | +| warnings | None | Whether to show any warnings that occurred during serialization. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | A JSON string representation of the model. | + + +#### model_post_init + +```python3 +def model_post_init( + self, + _BaseModel__context: 'Any' +) -> 'None' +``` + +Override this method to perform additional initialization after `__init__` and `model_construct`. + +This is useful if you want to do some validation that requires the entire model to be initialized. + +### RegisterMosaic + +```python3 +class RegisterMosaic( + __pydantic_self__, + **data: 'Any' +) +``` + +Model of /register endpoint input. + +#### Ancestors (in MRO) + +* titiler.pgstac.model.PgSTACSearch +* pydantic.main.BaseModel + +#### Class variables + +```python3 +model_config +``` + +```python3 +model_fields +``` + +#### Static methods + + +#### construct + +```python3 +def construct( + _fields_set: 'set[str] | None' = None, + **values: 'Any' +) -> 'Model' +``` + + +#### from_orm + +```python3 +def from_orm( + obj: 'Any' +) -> 'Model' +``` + + +#### model_construct + +```python3 +def model_construct( + _fields_set: 'set[str] | None' = None, + **values: 'Any' +) -> 'Model' +``` + +Creates a new instance of the `Model` class with validated data. + +Creates a new model setting `__dict__` and `__pydantic_fields_set__` from trusted or pre-validated data. +Default values are respected, but no other validation is performed. +Behaves as if `Config.extra = 'allow'` was set since it adds all passed values + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| _fields_set | None | The set of field names accepted for the Model instance. | None | +| values | None | Trusted or pre-validated data dictionary. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | A new instance of the `Model` class with validated data. | + + +#### model_json_schema + +```python3 +def model_json_schema( + by_alias: 'bool' = True, + ref_template: 'str' = '#/$defs/{model}', + schema_generator: 'type[GenerateJsonSchema]' = , + mode: 'JsonSchemaMode' = 'validation' +) -> 'dict[str, Any]' +``` + +Generates a JSON schema for a model class. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| by_alias | None | Whether to use attribute aliases or not. | None | +| ref_template | None | The reference template. | None | +| schema_generator | None | To override the logic used to generate the JSON schema, as a subclass of
`GenerateJsonSchema` with your desired modifications | None | +| mode | None | The mode in which to generate the schema. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | The JSON schema for the given model class. | + + +#### model_parametrized_name + +```python3 +def model_parametrized_name( + params: 'tuple[type[Any], ...]' +) -> 'str' +``` + +Compute the class name for parametrizations of generic classes. + +This method can be overridden to achieve a custom naming scheme for generic BaseModels. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| params | None | Tuple of types of the class. Given a generic class
`Model` with 2 type variables and a concrete model `Model[str, int]`,
the value `(str, int)` would be passed to `params`. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | String representing the new class where `params` are passed to `cls` as type variables. | + +**Raises:** + +| Type | Description | +|---|---| +| TypeError | Raised when trying to generate concrete names for non-generic models. | + + +#### model_rebuild + +```python3 +def model_rebuild( + *, + force: 'bool' = False, + raise_errors: 'bool' = True, + _parent_namespace_depth: 'int' = 2, + _types_namespace: 'dict[str, Any] | None' = None +) -> 'bool | None' +``` + +Try to rebuild the pydantic-core schema for the model. + +This may be necessary when one of the annotations is a ForwardRef which could not be resolved during +the initial attempt to build the schema, and automatic rebuilding fails. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| force | None | Whether to force the rebuilding of the model schema, defaults to `False`. | None | +| raise_errors | None | Whether to raise errors, defaults to `True`. | None | +| _parent_namespace_depth | None | The depth level of the parent namespace, defaults to 2. | None | +| _types_namespace | None | The types namespace, defaults to `None`. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | Returns `None` if the schema is already "complete" and rebuilding was not required.
If rebuilding _was_ required, returns `True` if rebuilding was successful, otherwise `False`. | + + +#### model_validate + +```python3 +def model_validate( + obj: 'Any', + *, + strict: 'bool | None' = None, + from_attributes: 'bool | None' = None, + context: 'dict[str, Any] | None' = None +) -> 'Model' +``` + +Validate a pydantic model instance. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| obj | None | The object to validate. | None | +| strict | None | Whether to raise an exception on invalid fields. | None | +| from_attributes | None | Whether to extract data from object attributes. | None | +| context | None | Additional context to pass to the validator. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | The validated model instance. | + +**Raises:** + +| Type | Description | +|---|---| +| ValidationError | If the object could not be validated. | + + +#### model_validate_json + +```python3 +def model_validate_json( + json_data: 'str | bytes | bytearray', + *, + strict: 'bool | None' = None, + context: 'dict[str, Any] | None' = None +) -> 'Model' +``` + +Usage docs: https://docs.pydantic.dev/2.5/concepts/json/#json-parsing + +Validate the given JSON data against the Pydantic model. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| json_data | None | The JSON data to validate. | None | +| strict | None | Whether to enforce types strictly. | None | +| context | None | Extra variables to pass to the validator. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | The validated Pydantic model. | + +**Raises:** + +| Type | Description | +|---|---| +| ValueError | If `json_data` is not a JSON string. | + + +#### model_validate_strings + +```python3 +def model_validate_strings( + obj: 'Any', + *, + strict: 'bool | None' = None, + context: 'dict[str, Any] | None' = None +) -> 'Model' +``` + +Validate the given object contains string data against the Pydantic model. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| obj | None | The object contains string data to validate. | None | +| strict | None | Whether to enforce types strictly. | None | +| context | None | Extra variables to pass to the validator. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | The validated Pydantic model. | + + +#### parse_file + +```python3 +def parse_file( + path: 'str | Path', + *, + content_type: 'str | None' = None, + encoding: 'str' = 'utf8', + proto: 'DeprecatedParseProtocol | None' = None, + allow_pickle: 'bool' = False +) -> 'Model' +``` + + +#### parse_obj + +```python3 +def parse_obj( + obj: 'Any' +) -> 'Model' +``` + + +#### parse_raw + +```python3 +def parse_raw( + b: 'str | bytes', + *, + content_type: 'str | None' = None, + encoding: 'str' = 'utf8', + proto: 'DeprecatedParseProtocol | None' = None, + allow_pickle: 'bool' = False +) -> 'Model' +``` + + +#### schema + +```python3 +def schema( + by_alias: 'bool' = True, + ref_template: 'str' = '#/$defs/{model}' +) -> 'typing.Dict[str, Any]' +``` + + +#### schema_json + +```python3 +def schema_json( + *, + by_alias: 'bool' = True, + ref_template: 'str' = '#/$defs/{model}', + **dumps_kwargs: 'Any' +) -> 'str' +``` + + +#### update_forward_refs + +```python3 +def update_forward_refs( + **localns: 'Any' +) -> 'None' +``` + + +#### validate + +```python3 +def validate( + value: 'Any' +) -> 'Model' +``` + + +#### validate_bbox + +```python3 +def validate_bbox( + v: Union[Tuple[float, float, float, float], Tuple[float, float, float, float, float, float]] +) +``` + +Validate BBOX. + + +#### validate_datetime + +```python3 +def validate_datetime( + v +) +``` + +Pgstac does not require the base validator for datetime. + + +#### validate_query_fields + +```python3 +def validate_query_fields( + values: Dict +) -> Dict +``` + +Pgstac does not require the base validator for query fields. + + +#### validate_spatial + +```python3 +def validate_spatial( + v: Union[typing_extensions.Annotated[Union[geojson_pydantic.geometries.Point, geojson_pydantic.geometries.MultiPoint, geojson_pydantic.geometries.LineString, geojson_pydantic.geometries.MultiLineString, geojson_pydantic.geometries.Polygon, geojson_pydantic.geometries.MultiPolygon, geojson_pydantic.geometries.GeometryCollection], FieldInfo(annotation=NoneType, required=True, discriminator='type')], NoneType], + info: pydantic_core.core_schema.ValidationInfo +) +``` + +Make sure bbox is not used with Intersects. + +#### Instance variables + +```python3 +model_computed_fields +``` + +Get the computed fields of this model instance. + +```python3 +model_extra +``` + +Get extra fields set during validation. + +```python3 +model_fields_set +``` + +Returns the set of fields that have been explicitly set on this model instance. + +#### Methods + + +#### copy + +```python3 +def copy( + self: 'Model', + *, + include: 'AbstractSetIntStr | MappingIntStrAny | None' = None, + exclude: 'AbstractSetIntStr | MappingIntStrAny | None' = None, + update: 'typing.Dict[str, Any] | None' = None, + deep: 'bool' = False +) -> 'Model' +``` + +Returns a copy of the model. + +!!! warning "Deprecated" + This method is now deprecated; use `model_copy` instead. + +If you need `include` or `exclude`, use: + +```py +data = self.model_dump(include=include, exclude=exclude, round_trip=True) +data = {**data, **(update or {})} +copied = self.model_validate(data) +``` + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| include | None | Optional set or mapping
specifying which fields to include in the copied model. | None | +| exclude | None | Optional set or mapping
specifying which fields to exclude in the copied model. | None | +| update | None | Optional dictionary of field-value pairs to override field values
in the copied model. | None | +| deep | None | If True, the values of fields that are Pydantic models will be deep copied. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | A copy of the model with included, excluded and updated fields as specified. | + + +#### dict + +```python3 +def dict( + self, + *, + include: 'IncEx' = None, + exclude: 'IncEx' = None, + by_alias: 'bool' = False, + exclude_unset: 'bool' = False, + exclude_defaults: 'bool' = False, + exclude_none: 'bool' = False +) -> 'typing.Dict[str, Any]' +``` + + +#### json + +```python3 +def json( + self, + *, + include: 'IncEx' = None, + exclude: 'IncEx' = None, + by_alias: 'bool' = False, + exclude_unset: 'bool' = False, + exclude_defaults: 'bool' = False, + exclude_none: 'bool' = False, + encoder: 'typing.Callable[[Any], Any] | None' = PydanticUndefined, + models_as_dict: 'bool' = PydanticUndefined, + **dumps_kwargs: 'Any' +) -> 'str' +``` + + +#### model_copy + +```python3 +def model_copy( + self: 'Model', + *, + update: 'dict[str, Any] | None' = None, + deep: 'bool' = False +) -> 'Model' +``` + +Usage docs: https://docs.pydantic.dev/2.5/concepts/serialization/#model_copy + +Returns a copy of the model. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| update | None | Values to change/add in the new model. Note: the data is not validated
before creating the new model. You should trust this data. | None | +| deep | None | Set to `True` to make a deep copy of the model. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | New model instance. | + + +#### model_dump + +```python3 +def model_dump( + self, + *, + mode: "Literal[('json', 'python')] | str" = 'python', + include: 'IncEx' = None, + exclude: 'IncEx' = None, + by_alias: 'bool' = False, + exclude_unset: 'bool' = False, + exclude_defaults: 'bool' = False, + exclude_none: 'bool' = False, + round_trip: 'bool' = False, + warnings: 'bool' = True +) -> 'dict[str, Any]' +``` + +Usage docs: https://docs.pydantic.dev/2.5/concepts/serialization/#modelmodel_dump + +Generate a dictionary representation of the model, optionally specifying which fields to include or exclude. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| mode | None | The mode in which `to_python` should run.
If mode is 'json', the dictionary will only contain JSON serializable types.
If mode is 'python', the dictionary may contain any Python objects. | None | +| include | None | A list of fields to include in the output. | None | +| exclude | None | A list of fields to exclude from the output. | None | +| by_alias | None | Whether to use the field's alias in the dictionary key if defined. | None | +| exclude_unset | None | Whether to exclude fields that have not been explicitly set. | None | +| exclude_defaults | None | Whether to exclude fields that are set to their default value from the output. | None | +| exclude_none | None | Whether to exclude fields that have a value of `None` from the output. | None | +| round_trip | None | Whether to enable serialization and deserialization round-trip support. | None | +| warnings | None | Whether to log warnings when invalid fields are encountered. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | A dictionary representation of the model. | + + +#### model_dump_json + +```python3 +def model_dump_json( + self, + *, + indent: 'int | None' = None, + include: 'IncEx' = None, + exclude: 'IncEx' = None, + by_alias: 'bool' = False, + exclude_unset: 'bool' = False, + exclude_defaults: 'bool' = False, + exclude_none: 'bool' = False, + round_trip: 'bool' = False, + warnings: 'bool' = True +) -> 'str' +``` + +Usage docs: https://docs.pydantic.dev/2.5/concepts/serialization/#modelmodel_dump_json + +Generates a JSON representation of the model using Pydantic's `to_json` method. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| indent | None | Indentation to use in the JSON output. If None is passed, the output will be compact. | None | +| include | None | Field(s) to include in the JSON output. Can take either a string or set of strings. | None | +| exclude | None | Field(s) to exclude from the JSON output. Can take either a string or set of strings. | None | +| by_alias | None | Whether to serialize using field aliases. | None | +| exclude_unset | None | Whether to exclude fields that have not been explicitly set. | None | +| exclude_defaults | None | Whether to exclude fields that have the default value. | None | +| exclude_none | None | Whether to exclude fields that have a value of `None`. | None | +| round_trip | None | Whether to use serialization/deserialization between JSON and class instance. | None | +| warnings | None | Whether to show any warnings that occurred during serialization. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | A JSON string representation of the model. | + + +#### model_post_init + +```python3 +def model_post_init( + self, + _BaseModel__context: 'Any' +) -> 'None' +``` + +Override this method to perform additional initialization after `__init__` and `model_construct`. + +This is useful if you want to do some validation that requires the entire model to be initialized. + +### RegisterResponse + +```python3 +class RegisterResponse( + __pydantic_self__, + **data: 'Any' +) +``` + +Response model for /register endpoint. + +#### Ancestors (in MRO) + +* pydantic.main.BaseModel + +#### Class variables + +```python3 +model_config +``` + +```python3 +model_fields +``` + +#### Static methods + + +#### construct + +```python3 +def construct( + _fields_set: 'set[str] | None' = None, + **values: 'Any' +) -> 'Model' +``` + + +#### from_orm + +```python3 +def from_orm( + obj: 'Any' +) -> 'Model' +``` + + +#### model_construct + +```python3 +def model_construct( + _fields_set: 'set[str] | None' = None, + **values: 'Any' +) -> 'Model' +``` + +Creates a new instance of the `Model` class with validated data. + +Creates a new model setting `__dict__` and `__pydantic_fields_set__` from trusted or pre-validated data. +Default values are respected, but no other validation is performed. +Behaves as if `Config.extra = 'allow'` was set since it adds all passed values + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| _fields_set | None | The set of field names accepted for the Model instance. | None | +| values | None | Trusted or pre-validated data dictionary. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | A new instance of the `Model` class with validated data. | + + +#### model_json_schema + +```python3 +def model_json_schema( + by_alias: 'bool' = True, + ref_template: 'str' = '#/$defs/{model}', + schema_generator: 'type[GenerateJsonSchema]' = , + mode: 'JsonSchemaMode' = 'validation' +) -> 'dict[str, Any]' +``` + +Generates a JSON schema for a model class. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| by_alias | None | Whether to use attribute aliases or not. | None | +| ref_template | None | The reference template. | None | +| schema_generator | None | To override the logic used to generate the JSON schema, as a subclass of
`GenerateJsonSchema` with your desired modifications | None | +| mode | None | The mode in which to generate the schema. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | The JSON schema for the given model class. | + + +#### model_parametrized_name + +```python3 +def model_parametrized_name( + params: 'tuple[type[Any], ...]' +) -> 'str' +``` + +Compute the class name for parametrizations of generic classes. + +This method can be overridden to achieve a custom naming scheme for generic BaseModels. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| params | None | Tuple of types of the class. Given a generic class
`Model` with 2 type variables and a concrete model `Model[str, int]`,
the value `(str, int)` would be passed to `params`. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | String representing the new class where `params` are passed to `cls` as type variables. | + +**Raises:** + +| Type | Description | +|---|---| +| TypeError | Raised when trying to generate concrete names for non-generic models. | + + +#### model_rebuild + +```python3 +def model_rebuild( + *, + force: 'bool' = False, + raise_errors: 'bool' = True, + _parent_namespace_depth: 'int' = 2, + _types_namespace: 'dict[str, Any] | None' = None +) -> 'bool | None' +``` + +Try to rebuild the pydantic-core schema for the model. + +This may be necessary when one of the annotations is a ForwardRef which could not be resolved during +the initial attempt to build the schema, and automatic rebuilding fails. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| force | None | Whether to force the rebuilding of the model schema, defaults to `False`. | None | +| raise_errors | None | Whether to raise errors, defaults to `True`. | None | +| _parent_namespace_depth | None | The depth level of the parent namespace, defaults to 2. | None | +| _types_namespace | None | The types namespace, defaults to `None`. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | Returns `None` if the schema is already "complete" and rebuilding was not required.
If rebuilding _was_ required, returns `True` if rebuilding was successful, otherwise `False`. | + + +#### model_validate + +```python3 +def model_validate( + obj: 'Any', + *, + strict: 'bool | None' = None, + from_attributes: 'bool | None' = None, + context: 'dict[str, Any] | None' = None +) -> 'Model' +``` + +Validate a pydantic model instance. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| obj | None | The object to validate. | None | +| strict | None | Whether to raise an exception on invalid fields. | None | +| from_attributes | None | Whether to extract data from object attributes. | None | +| context | None | Additional context to pass to the validator. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | The validated model instance. | + +**Raises:** + +| Type | Description | +|---|---| +| ValidationError | If the object could not be validated. | + + +#### model_validate_json + +```python3 +def model_validate_json( + json_data: 'str | bytes | bytearray', + *, + strict: 'bool | None' = None, + context: 'dict[str, Any] | None' = None +) -> 'Model' +``` + +Usage docs: https://docs.pydantic.dev/2.5/concepts/json/#json-parsing + +Validate the given JSON data against the Pydantic model. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| json_data | None | The JSON data to validate. | None | +| strict | None | Whether to enforce types strictly. | None | +| context | None | Extra variables to pass to the validator. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | The validated Pydantic model. | + +**Raises:** + +| Type | Description | +|---|---| +| ValueError | If `json_data` is not a JSON string. | + + +#### model_validate_strings + +```python3 +def model_validate_strings( + obj: 'Any', + *, + strict: 'bool | None' = None, + context: 'dict[str, Any] | None' = None +) -> 'Model' +``` + +Validate the given object contains string data against the Pydantic model. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| obj | None | The object contains string data to validate. | None | +| strict | None | Whether to enforce types strictly. | None | +| context | None | Extra variables to pass to the validator. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | The validated Pydantic model. | + + +#### parse_file + +```python3 +def parse_file( + path: 'str | Path', + *, + content_type: 'str | None' = None, + encoding: 'str' = 'utf8', + proto: 'DeprecatedParseProtocol | None' = None, + allow_pickle: 'bool' = False +) -> 'Model' +``` + + +#### parse_obj + +```python3 +def parse_obj( + obj: 'Any' +) -> 'Model' +``` + + +#### parse_raw + +```python3 +def parse_raw( + b: 'str | bytes', + *, + content_type: 'str | None' = None, + encoding: 'str' = 'utf8', + proto: 'DeprecatedParseProtocol | None' = None, + allow_pickle: 'bool' = False +) -> 'Model' +``` + + +#### schema + +```python3 +def schema( + by_alias: 'bool' = True, + ref_template: 'str' = '#/$defs/{model}' +) -> 'typing.Dict[str, Any]' +``` + + +#### schema_json + +```python3 +def schema_json( + *, + by_alias: 'bool' = True, + ref_template: 'str' = '#/$defs/{model}', + **dumps_kwargs: 'Any' +) -> 'str' +``` + + +#### update_forward_refs + +```python3 +def update_forward_refs( + **localns: 'Any' +) -> 'None' +``` + + +#### validate + +```python3 +def validate( + value: 'Any' +) -> 'Model' +``` + +#### Instance variables + +```python3 +model_computed_fields +``` + +Get the computed fields of this model instance. + +```python3 +model_extra +``` + +Get extra fields set during validation. + +```python3 +model_fields_set +``` + +Returns the set of fields that have been explicitly set on this model instance. + +#### Methods + + +#### copy + +```python3 +def copy( + self: 'Model', + *, + include: 'AbstractSetIntStr | MappingIntStrAny | None' = None, + exclude: 'AbstractSetIntStr | MappingIntStrAny | None' = None, + update: 'typing.Dict[str, Any] | None' = None, + deep: 'bool' = False +) -> 'Model' +``` + +Returns a copy of the model. + +!!! warning "Deprecated" + This method is now deprecated; use `model_copy` instead. + +If you need `include` or `exclude`, use: + +```py +data = self.model_dump(include=include, exclude=exclude, round_trip=True) +data = {**data, **(update or {})} +copied = self.model_validate(data) +``` + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| include | None | Optional set or mapping
specifying which fields to include in the copied model. | None | +| exclude | None | Optional set or mapping
specifying which fields to exclude in the copied model. | None | +| update | None | Optional dictionary of field-value pairs to override field values
in the copied model. | None | +| deep | None | If True, the values of fields that are Pydantic models will be deep copied. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | A copy of the model with included, excluded and updated fields as specified. | + + +#### dict + +```python3 +def dict( + self, + *, + include: 'IncEx' = None, + exclude: 'IncEx' = None, + by_alias: 'bool' = False, + exclude_unset: 'bool' = False, + exclude_defaults: 'bool' = False, + exclude_none: 'bool' = False +) -> 'typing.Dict[str, Any]' +``` + + +#### json + +```python3 +def json( + self, + *, + include: 'IncEx' = None, + exclude: 'IncEx' = None, + by_alias: 'bool' = False, + exclude_unset: 'bool' = False, + exclude_defaults: 'bool' = False, + exclude_none: 'bool' = False, + encoder: 'typing.Callable[[Any], Any] | None' = PydanticUndefined, + models_as_dict: 'bool' = PydanticUndefined, + **dumps_kwargs: 'Any' +) -> 'str' +``` + + +#### model_copy + +```python3 +def model_copy( + self: 'Model', + *, + update: 'dict[str, Any] | None' = None, + deep: 'bool' = False +) -> 'Model' +``` + +Usage docs: https://docs.pydantic.dev/2.5/concepts/serialization/#model_copy + +Returns a copy of the model. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| update | None | Values to change/add in the new model. Note: the data is not validated
before creating the new model. You should trust this data. | None | +| deep | None | Set to `True` to make a deep copy of the model. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | New model instance. | + + +#### model_dump + +```python3 +def model_dump( + self, + *, + mode: "Literal[('json', 'python')] | str" = 'python', + include: 'IncEx' = None, + exclude: 'IncEx' = None, + by_alias: 'bool' = False, + exclude_unset: 'bool' = False, + exclude_defaults: 'bool' = False, + exclude_none: 'bool' = False, + round_trip: 'bool' = False, + warnings: 'bool' = True +) -> 'dict[str, Any]' +``` + +Usage docs: https://docs.pydantic.dev/2.5/concepts/serialization/#modelmodel_dump + +Generate a dictionary representation of the model, optionally specifying which fields to include or exclude. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| mode | None | The mode in which `to_python` should run.
If mode is 'json', the dictionary will only contain JSON serializable types.
If mode is 'python', the dictionary may contain any Python objects. | None | +| include | None | A list of fields to include in the output. | None | +| exclude | None | A list of fields to exclude from the output. | None | +| by_alias | None | Whether to use the field's alias in the dictionary key if defined. | None | +| exclude_unset | None | Whether to exclude fields that have not been explicitly set. | None | +| exclude_defaults | None | Whether to exclude fields that are set to their default value from the output. | None | +| exclude_none | None | Whether to exclude fields that have a value of `None` from the output. | None | +| round_trip | None | Whether to enable serialization and deserialization round-trip support. | None | +| warnings | None | Whether to log warnings when invalid fields are encountered. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | A dictionary representation of the model. | + + +#### model_dump_json + +```python3 +def model_dump_json( + self, + *, + indent: 'int | None' = None, + include: 'IncEx' = None, + exclude: 'IncEx' = None, + by_alias: 'bool' = False, + exclude_unset: 'bool' = False, + exclude_defaults: 'bool' = False, + exclude_none: 'bool' = False, + round_trip: 'bool' = False, + warnings: 'bool' = True +) -> 'str' +``` + +Usage docs: https://docs.pydantic.dev/2.5/concepts/serialization/#modelmodel_dump_json + +Generates a JSON representation of the model using Pydantic's `to_json` method. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| indent | None | Indentation to use in the JSON output. If None is passed, the output will be compact. | None | +| include | None | Field(s) to include in the JSON output. Can take either a string or set of strings. | None | +| exclude | None | Field(s) to exclude from the JSON output. Can take either a string or set of strings. | None | +| by_alias | None | Whether to serialize using field aliases. | None | +| exclude_unset | None | Whether to exclude fields that have not been explicitly set. | None | +| exclude_defaults | None | Whether to exclude fields that have the default value. | None | +| exclude_none | None | Whether to exclude fields that have a value of `None`. | None | +| round_trip | None | Whether to use serialization/deserialization between JSON and class instance. | None | +| warnings | None | Whether to show any warnings that occurred during serialization. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | A JSON string representation of the model. | + + +#### model_post_init + +```python3 +def model_post_init( + self, + _BaseModel__context: 'Any' +) -> 'None' +``` + +Override this method to perform additional initialization after `__init__` and `model_construct`. + +This is useful if you want to do some validation that requires the entire model to be initialized. + +### Search + +```python3 +class Search( + __pydantic_self__, + **data: 'Any' +) +``` + +PgSTAC Search entry. + +ref: https://github.com/stac-utils/pgstac/blob/3499daa2bfa700ae7bb07503795c169bf2ebafc7/sql/004_search.sql#L907-L915 + +#### Ancestors (in MRO) + +* pydantic.main.BaseModel + +#### Class variables + +```python3 +model_config +``` + +```python3 +model_fields +``` + +#### Static methods + + +#### construct + +```python3 +def construct( + _fields_set: 'set[str] | None' = None, + **values: 'Any' +) -> 'Model' +``` + + +#### from_orm + +```python3 +def from_orm( + obj: 'Any' +) -> 'Model' +``` + + +#### model_construct + +```python3 +def model_construct( + _fields_set: 'set[str] | None' = None, + **values: 'Any' +) -> 'Model' +``` + +Creates a new instance of the `Model` class with validated data. + +Creates a new model setting `__dict__` and `__pydantic_fields_set__` from trusted or pre-validated data. +Default values are respected, but no other validation is performed. +Behaves as if `Config.extra = 'allow'` was set since it adds all passed values + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| _fields_set | None | The set of field names accepted for the Model instance. | None | +| values | None | Trusted or pre-validated data dictionary. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | A new instance of the `Model` class with validated data. | + + +#### model_json_schema + +```python3 +def model_json_schema( + by_alias: 'bool' = True, + ref_template: 'str' = '#/$defs/{model}', + schema_generator: 'type[GenerateJsonSchema]' = , + mode: 'JsonSchemaMode' = 'validation' +) -> 'dict[str, Any]' +``` + +Generates a JSON schema for a model class. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| by_alias | None | Whether to use attribute aliases or not. | None | +| ref_template | None | The reference template. | None | +| schema_generator | None | To override the logic used to generate the JSON schema, as a subclass of
`GenerateJsonSchema` with your desired modifications | None | +| mode | None | The mode in which to generate the schema. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | The JSON schema for the given model class. | + + +#### model_parametrized_name + +```python3 +def model_parametrized_name( + params: 'tuple[type[Any], ...]' +) -> 'str' +``` + +Compute the class name for parametrizations of generic classes. + +This method can be overridden to achieve a custom naming scheme for generic BaseModels. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| params | None | Tuple of types of the class. Given a generic class
`Model` with 2 type variables and a concrete model `Model[str, int]`,
the value `(str, int)` would be passed to `params`. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | String representing the new class where `params` are passed to `cls` as type variables. | + +**Raises:** + +| Type | Description | +|---|---| +| TypeError | Raised when trying to generate concrete names for non-generic models. | + + +#### model_rebuild + +```python3 +def model_rebuild( + *, + force: 'bool' = False, + raise_errors: 'bool' = True, + _parent_namespace_depth: 'int' = 2, + _types_namespace: 'dict[str, Any] | None' = None +) -> 'bool | None' +``` + +Try to rebuild the pydantic-core schema for the model. + +This may be necessary when one of the annotations is a ForwardRef which could not be resolved during +the initial attempt to build the schema, and automatic rebuilding fails. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| force | None | Whether to force the rebuilding of the model schema, defaults to `False`. | None | +| raise_errors | None | Whether to raise errors, defaults to `True`. | None | +| _parent_namespace_depth | None | The depth level of the parent namespace, defaults to 2. | None | +| _types_namespace | None | The types namespace, defaults to `None`. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | Returns `None` if the schema is already "complete" and rebuilding was not required.
If rebuilding _was_ required, returns `True` if rebuilding was successful, otherwise `False`. | + + +#### model_validate + +```python3 +def model_validate( + obj: 'Any', + *, + strict: 'bool | None' = None, + from_attributes: 'bool | None' = None, + context: 'dict[str, Any] | None' = None +) -> 'Model' +``` + +Validate a pydantic model instance. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| obj | None | The object to validate. | None | +| strict | None | Whether to raise an exception on invalid fields. | None | +| from_attributes | None | Whether to extract data from object attributes. | None | +| context | None | Additional context to pass to the validator. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | The validated model instance. | + +**Raises:** + +| Type | Description | +|---|---| +| ValidationError | If the object could not be validated. | + + +#### model_validate_json + +```python3 +def model_validate_json( + json_data: 'str | bytes | bytearray', + *, + strict: 'bool | None' = None, + context: 'dict[str, Any] | None' = None +) -> 'Model' +``` + +Usage docs: https://docs.pydantic.dev/2.5/concepts/json/#json-parsing + +Validate the given JSON data against the Pydantic model. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| json_data | None | The JSON data to validate. | None | +| strict | None | Whether to enforce types strictly. | None | +| context | None | Extra variables to pass to the validator. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | The validated Pydantic model. | + +**Raises:** + +| Type | Description | +|---|---| +| ValueError | If `json_data` is not a JSON string. | + + +#### model_validate_strings + +```python3 +def model_validate_strings( + obj: 'Any', + *, + strict: 'bool | None' = None, + context: 'dict[str, Any] | None' = None +) -> 'Model' +``` + +Validate the given object contains string data against the Pydantic model. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| obj | None | The object contains string data to validate. | None | +| strict | None | Whether to enforce types strictly. | None | +| context | None | Extra variables to pass to the validator. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | The validated Pydantic model. | + + +#### parse_file + +```python3 +def parse_file( + path: 'str | Path', + *, + content_type: 'str | None' = None, + encoding: 'str' = 'utf8', + proto: 'DeprecatedParseProtocol | None' = None, + allow_pickle: 'bool' = False +) -> 'Model' +``` + + +#### parse_obj + +```python3 +def parse_obj( + obj: 'Any' +) -> 'Model' +``` + + +#### parse_raw + +```python3 +def parse_raw( + b: 'str | bytes', + *, + content_type: 'str | None' = None, + encoding: 'str' = 'utf8', + proto: 'DeprecatedParseProtocol | None' = None, + allow_pickle: 'bool' = False +) -> 'Model' +``` + + +#### schema + +```python3 +def schema( + by_alias: 'bool' = True, + ref_template: 'str' = '#/$defs/{model}' +) -> 'typing.Dict[str, Any]' +``` + + +#### schema_json + +```python3 +def schema_json( + *, + by_alias: 'bool' = True, + ref_template: 'str' = '#/$defs/{model}', + **dumps_kwargs: 'Any' +) -> 'str' +``` + + +#### update_forward_refs + +```python3 +def update_forward_refs( + **localns: 'Any' +) -> 'None' +``` + + +#### validate + +```python3 +def validate( + value: 'Any' +) -> 'Model' +``` + + +#### validate_metadata + +```python3 +def validate_metadata( + v +) +``` + +Set SearchType.search when not present in metadata. + +#### Instance variables + +```python3 +model_computed_fields +``` + +Get the computed fields of this model instance. + +```python3 +model_extra +``` + +Get extra fields set during validation. + +```python3 +model_fields_set +``` + +Returns the set of fields that have been explicitly set on this model instance. + +#### Methods + + +#### copy + +```python3 +def copy( + self: 'Model', + *, + include: 'AbstractSetIntStr | MappingIntStrAny | None' = None, + exclude: 'AbstractSetIntStr | MappingIntStrAny | None' = None, + update: 'typing.Dict[str, Any] | None' = None, + deep: 'bool' = False +) -> 'Model' +``` + +Returns a copy of the model. + +!!! warning "Deprecated" + This method is now deprecated; use `model_copy` instead. + +If you need `include` or `exclude`, use: + +```py +data = self.model_dump(include=include, exclude=exclude, round_trip=True) +data = {**data, **(update or {})} +copied = self.model_validate(data) +``` + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| include | None | Optional set or mapping
specifying which fields to include in the copied model. | None | +| exclude | None | Optional set or mapping
specifying which fields to exclude in the copied model. | None | +| update | None | Optional dictionary of field-value pairs to override field values
in the copied model. | None | +| deep | None | If True, the values of fields that are Pydantic models will be deep copied. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | A copy of the model with included, excluded and updated fields as specified. | + + +#### dict + +```python3 +def dict( + self, + *, + include: 'IncEx' = None, + exclude: 'IncEx' = None, + by_alias: 'bool' = False, + exclude_unset: 'bool' = False, + exclude_defaults: 'bool' = False, + exclude_none: 'bool' = False +) -> 'typing.Dict[str, Any]' +``` + + +#### json + +```python3 +def json( + self, + *, + include: 'IncEx' = None, + exclude: 'IncEx' = None, + by_alias: 'bool' = False, + exclude_unset: 'bool' = False, + exclude_defaults: 'bool' = False, + exclude_none: 'bool' = False, + encoder: 'typing.Callable[[Any], Any] | None' = PydanticUndefined, + models_as_dict: 'bool' = PydanticUndefined, + **dumps_kwargs: 'Any' +) -> 'str' +``` + + +#### model_copy + +```python3 +def model_copy( + self: 'Model', + *, + update: 'dict[str, Any] | None' = None, + deep: 'bool' = False +) -> 'Model' +``` + +Usage docs: https://docs.pydantic.dev/2.5/concepts/serialization/#model_copy + +Returns a copy of the model. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| update | None | Values to change/add in the new model. Note: the data is not validated
before creating the new model. You should trust this data. | None | +| deep | None | Set to `True` to make a deep copy of the model. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | New model instance. | + + +#### model_dump + +```python3 +def model_dump( + self, + *, + mode: "Literal[('json', 'python')] | str" = 'python', + include: 'IncEx' = None, + exclude: 'IncEx' = None, + by_alias: 'bool' = False, + exclude_unset: 'bool' = False, + exclude_defaults: 'bool' = False, + exclude_none: 'bool' = False, + round_trip: 'bool' = False, + warnings: 'bool' = True +) -> 'dict[str, Any]' +``` + +Usage docs: https://docs.pydantic.dev/2.5/concepts/serialization/#modelmodel_dump + +Generate a dictionary representation of the model, optionally specifying which fields to include or exclude. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| mode | None | The mode in which `to_python` should run.
If mode is 'json', the dictionary will only contain JSON serializable types.
If mode is 'python', the dictionary may contain any Python objects. | None | +| include | None | A list of fields to include in the output. | None | +| exclude | None | A list of fields to exclude from the output. | None | +| by_alias | None | Whether to use the field's alias in the dictionary key if defined. | None | +| exclude_unset | None | Whether to exclude fields that have not been explicitly set. | None | +| exclude_defaults | None | Whether to exclude fields that are set to their default value from the output. | None | +| exclude_none | None | Whether to exclude fields that have a value of `None` from the output. | None | +| round_trip | None | Whether to enable serialization and deserialization round-trip support. | None | +| warnings | None | Whether to log warnings when invalid fields are encountered. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | A dictionary representation of the model. | + + +#### model_dump_json + +```python3 +def model_dump_json( + self, + *, + indent: 'int | None' = None, + include: 'IncEx' = None, + exclude: 'IncEx' = None, + by_alias: 'bool' = False, + exclude_unset: 'bool' = False, + exclude_defaults: 'bool' = False, + exclude_none: 'bool' = False, + round_trip: 'bool' = False, + warnings: 'bool' = True +) -> 'str' +``` + +Usage docs: https://docs.pydantic.dev/2.5/concepts/serialization/#modelmodel_dump_json + +Generates a JSON representation of the model using Pydantic's `to_json` method. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| indent | None | Indentation to use in the JSON output. If None is passed, the output will be compact. | None | +| include | None | Field(s) to include in the JSON output. Can take either a string or set of strings. | None | +| exclude | None | Field(s) to exclude from the JSON output. Can take either a string or set of strings. | None | +| by_alias | None | Whether to serialize using field aliases. | None | +| exclude_unset | None | Whether to exclude fields that have not been explicitly set. | None | +| exclude_defaults | None | Whether to exclude fields that have the default value. | None | +| exclude_none | None | Whether to exclude fields that have a value of `None`. | None | +| round_trip | None | Whether to use serialization/deserialization between JSON and class instance. | None | +| warnings | None | Whether to show any warnings that occurred during serialization. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | A JSON string representation of the model. | + + +#### model_post_init + +```python3 +def model_post_init( + self, + _BaseModel__context: 'Any' +) -> 'None' +``` + +Override this method to perform additional initialization after `__init__` and `model_construct`. + +This is useful if you want to do some validation that requires the entire model to be initialized. \ No newline at end of file diff --git a/1.0.0/api/titiler/pgstac/mosaic/index.html b/1.0.0/api/titiler/pgstac/mosaic/index.html new file mode 100644 index 00000000..59dca848 --- /dev/null +++ b/1.0.0/api/titiler/pgstac/mosaic/index.html @@ -0,0 +1,2474 @@ + + + + + + + + + + + + + + + + + + + + mosaic - TiTiler.PgSTAC + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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Module titiler.pgstac.mosaic

+

TiTiler.PgSTAC custom Mosaic Backend and Custom STACReader.

+

Variables

+
WGS84_CRS
+
+
cache_config
+
+
retry_config
+
+

Classes

+

CustomSTACReader

+
class CustomSTACReader(
+    input: Dict[str, Any],
+    tms: morecantile.models.TileMatrixSet = <TileMatrixSet title='Google Maps Compatible for the World' id='WebMercatorQuad' crs='http://www.opengis.net/def/crs/EPSG/0/3857>,
+    minzoom: int = NOTHING,
+    maxzoom: int = NOTHING,
+    reader: Type[rio_tiler.io.base.BaseReader] = <class 'rio_tiler.io.rasterio.Reader'>,
+    reader_options: Dict = NOTHING,
+    ctx: Any = <class 'rasterio.env.Env'>
+)
+
+

Simplified STAC Reader.

+

Inputs should be in form of: +{ + "id": "IAMASTACITEM", + "collection": "mycollection", + "bbox": (0, 0, 10, 10), + "assets": { + "COG": { + "href": "somewhereovertherainbow.io/cog.tif" + } + } +}

+

Ancestors (in MRO)

+
    +
  • rio_tiler.io.base.MultiBaseReader
    • +
  • rio_tiler.io.base.SpatialMixin
    • +
+

Instance variables

+
geographic_bounds
+
+

Return dataset bounds in geographic_crs.

+

Methods

+

feature

+
def feature(
+    self,
+    shape: Dict,
+    assets: Union[Sequence[str], str] = None,
+    expression: Union[str, NoneType] = None,
+    asset_indexes: Union[Dict[str, Union[Sequence[int], int]], NoneType] = None,
+    asset_as_band: bool = False,
+    **kwargs: Any
+) -> rio_tiler.models.ImageData
+
+

Read and merge parts defined by geojson feature from multiple assets.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
shapedictValid GeoJSON feature.None
assetssequence of str or strassets to fetch info from.None
expressionstrrio-tiler expression for the asset list (e.g. asset1/asset2+asset3).None
asset_indexesdictBand indexes for each asset (e.g {"asset1": 1, "asset2": (1, 2,)}).None
kwargsoptionalOptions to forward to the self.reader.feature method.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
rio_tiler.models.ImageDataImageData instance with data, mask and tile spatial info.
+

info

+
def info(
+    self,
+    assets: Union[Sequence[str], str] = None,
+    **kwargs: Any
+) -> Dict[str, rio_tiler.models.Info]
+
+

Return metadata from multiple assets.

+

Parameters:

+ + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
assetssequence of str or strassets to fetch info from. Required keyword argument.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
dictMultiple assets info in form of {"asset1": rio_tile.models.Info}.
+

merged_statistics

+
def merged_statistics(
+    self,
+    assets: Union[Sequence[str], str] = None,
+    expression: Union[str, NoneType] = None,
+    asset_indexes: Union[Dict[str, Union[Sequence[int], int]], NoneType] = None,
+    categorical: bool = False,
+    categories: Union[List[float], NoneType] = None,
+    percentiles: Union[List[int], NoneType] = None,
+    hist_options: Union[Dict, NoneType] = None,
+    max_size: int = 1024,
+    **kwargs: Any
+) -> Dict[str, rio_tiler.models.BandStatistics]
+
+

Return array statistics for multiple assets.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
assetssequence of str or strassets to fetch info from.None
expressionstrrio-tiler expression for the asset list (e.g. asset1/asset2+asset3).None
asset_indexesdictBand indexes for each asset (e.g {"asset1": 1, "asset2": (1, 2,)}).None
categoricalbooltreat input data as categorical data. Defaults to False.False
categorieslist of numberslist of categories to return value for.None
percentileslist of numberslist of percentile values to calculate. Defaults to [2, 98].[2, 98]
hist_optionsdictOptions to forward to numpy.histogram function.None
max_sizeintLimit the size of the longest dimension of the dataset read, respecting bounds X/Y aspect ratio. Defaults to 1024.1024
kwargsoptionalOptions to forward to the self.preview method.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
Dict[str, rio_tiler.models.BandStatistics]bands statistics.
+

parse_expression

+
def parse_expression(
+    self,
+    expression: str,
+    asset_as_band: bool = False
+) -> Tuple
+
+

Parse rio-tiler band math expression.

+

part

+
def part(
+    self,
+    bbox: Tuple[float, float, float, float],
+    assets: Union[Sequence[str], str] = None,
+    expression: Union[str, NoneType] = None,
+    asset_indexes: Union[Dict[str, Union[Sequence[int], int]], NoneType] = None,
+    asset_as_band: bool = False,
+    **kwargs: Any
+) -> rio_tiler.models.ImageData
+
+

Read and merge parts from multiple assets.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
bboxtupleOutput bounds (left, bottom, right, top) in target crs.None
assetssequence of str or strassets to fetch info from.None
expressionstrrio-tiler expression for the asset list (e.g. asset1/asset2+asset3).None
asset_indexesdictBand indexes for each asset (e.g {"asset1": 1, "asset2": (1, 2,)}).None
kwargsoptionalOptions to forward to the self.reader.part method.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
rio_tiler.models.ImageDataImageData instance with data, mask and tile spatial info.
+

point

+
def point(
+    self,
+    lon: float,
+    lat: float,
+    assets: Union[Sequence[str], str] = None,
+    expression: Union[str, NoneType] = None,
+    asset_indexes: Union[Dict[str, Union[Sequence[int], int]], NoneType] = None,
+    asset_as_band: bool = False,
+    **kwargs: Any
+) -> rio_tiler.models.PointData
+
+

Read pixel value from multiple assets.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
lonfloatLongitude.None
latfloatLatitude.None
assetssequence of str or strassets to fetch info from.None
expressionstrrio-tiler expression for the asset list (e.g. asset1/asset2+asset3).None
asset_indexesdictBand indexes for each asset (e.g {"asset1": 1, "asset2": (1, 2,)}).None
kwargsoptionalOptions to forward to the self.reader.point method.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NonePointData
+

preview

+
def preview(
+    self,
+    assets: Union[Sequence[str], str] = None,
+    expression: Union[str, NoneType] = None,
+    asset_indexes: Union[Dict[str, Union[Sequence[int], int]], NoneType] = None,
+    asset_as_band: bool = False,
+    **kwargs: Any
+) -> rio_tiler.models.ImageData
+
+

Read and merge previews from multiple assets.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
assetssequence of str or strassets to fetch info from.None
expressionstrrio-tiler expression for the asset list (e.g. asset1/asset2+asset3).None
asset_indexesdictBand indexes for each asset (e.g {"asset1": 1, "asset2": (1, 2,)}).None
kwargsoptionalOptions to forward to the self.reader.preview method.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
rio_tiler.models.ImageDataImageData instance with data, mask and tile spatial info.
+

statistics

+
def statistics(
+    self,
+    assets: Union[Sequence[str], str] = None,
+    asset_indexes: Union[Dict[str, Union[Sequence[int], int]], NoneType] = None,
+    asset_expression: Union[Dict[str, str], NoneType] = None,
+    **kwargs: Any
+) -> Dict[str, Dict[str, rio_tiler.models.BandStatistics]]
+
+

Return array statistics for multiple assets.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
assetssequence of str or strassets to fetch info from.None
asset_indexesdictBand indexes for each asset (e.g {"asset1": 1, "asset2": (1, 2,)}).None
asset_expressiondictrio-tiler expression for each asset (e.g. {"asset1": "b1/b2+b3", "asset2": ...}).None
kwargsoptionalOptions to forward to the self.reader.statistics method.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
dictMultiple assets statistics in form of {"asset1": {"1": rio_tiler.models.BandStatistics, ...}}.
+

tile

+
def tile(
+    self,
+    tile_x: int,
+    tile_y: int,
+    tile_z: int,
+    assets: Union[Sequence[str], str] = None,
+    expression: Union[str, NoneType] = None,
+    asset_indexes: Union[Dict[str, Union[Sequence[int], int]], NoneType] = None,
+    asset_as_band: bool = False,
+    **kwargs: Any
+) -> rio_tiler.models.ImageData
+
+

Read and merge Wep Map tiles from multiple assets.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
tile_xintTile's horizontal index.None
tile_yintTile's vertical index.None
tile_zintTile's zoom level index.None
assetssequence of str or strassets to fetch info from.None
expressionstrrio-tiler expression for the asset list (e.g. asset1/asset2+asset3).None
asset_indexesdictBand indexes for each asset (e.g {"asset1": 1, "asset2": (1, 2,)}).None
kwargsoptionalOptions to forward to the self.reader.tile method.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
rio_tiler.models.ImageDataImageData instance with data, mask and tile spatial info.
+

tile_exists

+
def tile_exists(
+    self,
+    tile_x: int,
+    tile_y: int,
+    tile_z: int
+) -> bool
+
+

Check if a tile intersects the dataset bounds.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
tile_xintTile's horizontal index.None
tile_yintTile's vertical index.None
tile_zintTile's zoom level index.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
boolTrue if the tile intersects the dataset bounds.
+

PGSTACBackend

+
class PGSTACBackend(
+    input: str,
+    pool: psycopg_pool.pool.ConnectionPool,
+    tms: morecantile.models.TileMatrixSet = <TileMatrixSet title='Google Maps Compatible for the World' id='WebMercatorQuad' crs='http://www.opengis.net/def/crs/EPSG/0/3857>,
+    minzoom: int = NOTHING,
+    maxzoom: int = NOTHING,
+    reader_options: Dict = NOTHING,
+    bounds: Tuple[float, float, float, float] = (-180, -90, 180, 90),
+    crs: rasterio.crs.CRS = CRS.from_epsg(4326),
+    geographic_crs: rasterio.crs.CRS = CRS.from_epsg(4326)
+)
+
+

PgSTAC Mosaic Backend.

+

Ancestors (in MRO)

+
    +
  • cogeo_mosaic.backends.base.BaseBackend
    • +
  • rio_tiler.io.base.BaseReader
    • +
  • rio_tiler.io.base.SpatialMixin
    • +
+

Instance variables

+
center
+
+

Return center from the mosaic definition.

+
geographic_bounds
+
+

Return dataset bounds in geographic_crs.

+
mosaicid
+
+

Return sha224 id of the mosaicjson document.

+
quadkey_zoom
+
+

Return Quadkey zoom property.

+

Methods

+

assets_for_bbox

+
def assets_for_bbox(
+    self,
+    xmin: float,
+    ymin: float,
+    xmax: float,
+    ymax: float,
+    coord_crs: rasterio.crs.CRS = CRS.from_epsg(4326),
+    **kwargs: Any
+) -> List[Dict]
+
+

Retrieve assets for bbox.

+

assets_for_point

+
def assets_for_point(
+    self,
+    lng: float,
+    lat: float,
+    coord_crs: rasterio.crs.CRS = CRS.from_epsg(4326),
+    **kwargs: Any
+) -> List[Dict]
+
+

Retrieve assets for point.

+

assets_for_tile

+
def assets_for_tile(
+    self,
+    x: int,
+    y: int,
+    z: int,
+    **kwargs: Any
+) -> List[Dict]
+
+

Retrieve assets for tile.

+

feature

+
def feature(
+    self,
+    shape: Dict,
+    dst_crs: Union[rasterio.crs.CRS, NoneType] = None,
+    shape_crs: rasterio.crs.CRS = CRS.from_epsg(4326),
+    max_size: int = 1024,
+    scan_limit: Union[int, NoneType] = None,
+    items_limit: Union[int, NoneType] = None,
+    time_limit: Union[int, NoneType] = None,
+    exitwhenfull: Union[bool, NoneType] = None,
+    skipcovered: Union[bool, NoneType] = None,
+    **kwargs: Any
+) -> Tuple[rio_tiler.models.ImageData, List[str]]
+
+

Create an Image from multiple items for a GeoJSON feature.

+

find_quadkeys

+
def find_quadkeys(
+    self,
+    tile: morecantile.commons.Tile,
+    quadkey_zoom: int
+) -> List[str]
+
+

Find quadkeys at desired zoom for tile

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
tilemorecantile.TileInput tile to use when searching for quadkeysNone
quadkey_zoomintZoom levelNone
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
listList[str] of quadkeys
+

get_assets

+
def get_assets(
+    *args: Any,
+    **kwargs: Any
+)
+
+

info

+
def info(
+    self,
+    quadkeys: bool = False
+) -> cogeo_mosaic.models.Info
+
+

Mosaic info.

+

part

+
def part(
+    self,
+    bbox: Tuple[float, float, float, float],
+    dst_crs: Union[rasterio.crs.CRS, NoneType] = None,
+    bounds_crs: rasterio.crs.CRS = CRS.from_epsg(4326),
+    scan_limit: Union[int, NoneType] = None,
+    items_limit: Union[int, NoneType] = None,
+    time_limit: Union[int, NoneType] = None,
+    exitwhenfull: Union[bool, NoneType] = None,
+    skipcovered: Union[bool, NoneType] = None,
+    **kwargs: Any
+) -> Tuple[rio_tiler.models.ImageData, List[str]]
+
+

Create an Image from multiple items for a bbox.

+

point

+
def point(
+    self,
+    lon: float,
+    lat: float,
+    coord_crs: rasterio.crs.CRS = CRS.from_epsg(4326),
+    scan_limit: Union[int, NoneType] = None,
+    items_limit: Union[int, NoneType] = None,
+    time_limit: Union[int, NoneType] = None,
+    exitwhenfull: Union[bool, NoneType] = None,
+    skipcovered: Union[bool, NoneType] = None,
+    **kwargs: Any
+) -> List
+
+

Get Point value from multiple observation.

+

preview

+
def preview(
+    self
+)
+
+

PlaceHolder for BaseReader.preview.

+

statistics

+
def statistics(
+    self
+)
+
+

PlaceHolder for BaseReader.statistics.

+

tile

+
def tile(
+    self,
+    tile_x: int,
+    tile_y: int,
+    tile_z: int,
+    scan_limit: Union[int, NoneType] = None,
+    items_limit: Union[int, NoneType] = None,
+    time_limit: Union[int, NoneType] = None,
+    exitwhenfull: Union[bool, NoneType] = None,
+    skipcovered: Union[bool, NoneType] = None,
+    **kwargs: Any
+) -> Tuple[rio_tiler.models.ImageData, List[str]]
+
+

Get Tile from multiple observation.

+

tile_exists

+
def tile_exists(
+    self,
+    tile_x: int,
+    tile_y: int,
+    tile_z: int
+) -> bool
+
+

Check if a tile intersects the dataset bounds.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
tile_xintTile's horizontal index.None
tile_yintTile's vertical index.None
tile_zintTile's zoom level index.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
boolTrue if the tile intersects the dataset bounds.
+

update

+
def update(
+    self
+) -> None
+
+

We overwrite the default method.

+

write

+
def write(
+    self,
+    overwrite: bool = True
+) -> None
+
+

This method is not used but is required by the abstract class.

+ + + + + + +
+
+ + +
+ +
+ + + +
+
+
+
+ + + + + + + + + + \ No newline at end of file diff --git a/1.0.0/api/titiler/pgstac/mosaic/mosaic.md b/1.0.0/api/titiler/pgstac/mosaic/mosaic.md new file mode 100644 index 00000000..1190b847 --- /dev/null +++ b/1.0.0/api/titiler/pgstac/mosaic/mosaic.md @@ -0,0 +1,668 @@ +# Module titiler.pgstac.mosaic + +TiTiler.PgSTAC custom Mosaic Backend and Custom STACReader. + +## Variables + +```python3 +WGS84_CRS +``` + +```python3 +cache_config +``` + +```python3 +retry_config +``` + +## Classes + +### CustomSTACReader + +```python3 +class CustomSTACReader( + input: Dict[str, Any], + tms: morecantile.models.TileMatrixSet = , + reader_options: Dict = NOTHING, + ctx: Any = +) +``` + +Simplified STAC Reader. + +Inputs should be in form of: +{ + "id": "IAMASTACITEM", + "collection": "mycollection", + "bbox": (0, 0, 10, 10), + "assets": { + "COG": { + "href": "https://somewhereovertherainbow.io/cog.tif" + } + } +} + +#### Ancestors (in MRO) + +* rio_tiler.io.base.MultiBaseReader +* rio_tiler.io.base.SpatialMixin + +#### Instance variables + +```python3 +geographic_bounds +``` + +Return dataset bounds in geographic_crs. + +#### Methods + + +#### feature + +```python3 +def feature( + self, + shape: Dict, + assets: Union[Sequence[str], str] = None, + expression: Union[str, NoneType] = None, + asset_indexes: Union[Dict[str, Union[Sequence[int], int]], NoneType] = None, + asset_as_band: bool = False, + **kwargs: Any +) -> rio_tiler.models.ImageData +``` + +Read and merge parts defined by geojson feature from multiple assets. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| shape | dict | Valid GeoJSON feature. | None | +| assets | sequence of str or str | assets to fetch info from. | None | +| expression | str | rio-tiler expression for the asset list (e.g. asset1/asset2+asset3). | None | +| asset_indexes | dict | Band indexes for each asset (e.g {"asset1": 1, "asset2": (1, 2,)}). | None | +| kwargs | optional | Options to forward to the `self.reader.feature` method. | None | + +**Returns:** + +| Type | Description | +|---|---| +| rio_tiler.models.ImageData | ImageData instance with data, mask and tile spatial info. | + + +#### info + +```python3 +def info( + self, + assets: Union[Sequence[str], str] = None, + **kwargs: Any +) -> Dict[str, rio_tiler.models.Info] +``` + +Return metadata from multiple assets. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| assets | sequence of str or str | assets to fetch info from. Required keyword argument. | None | + +**Returns:** + +| Type | Description | +|---|---| +| dict | Multiple assets info in form of {"asset1": rio_tile.models.Info}. | + + +#### merged_statistics + +```python3 +def merged_statistics( + self, + assets: Union[Sequence[str], str] = None, + expression: Union[str, NoneType] = None, + asset_indexes: Union[Dict[str, Union[Sequence[int], int]], NoneType] = None, + categorical: bool = False, + categories: Union[List[float], NoneType] = None, + percentiles: Union[List[int], NoneType] = None, + hist_options: Union[Dict, NoneType] = None, + max_size: int = 1024, + **kwargs: Any +) -> Dict[str, rio_tiler.models.BandStatistics] +``` + +Return array statistics for multiple assets. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| assets | sequence of str or str | assets to fetch info from. | None | +| expression | str | rio-tiler expression for the asset list (e.g. asset1/asset2+asset3). | None | +| asset_indexes | dict | Band indexes for each asset (e.g {"asset1": 1, "asset2": (1, 2,)}). | None | +| categorical | bool | treat input data as categorical data. Defaults to False. | False | +| categories | list of numbers | list of categories to return value for. | None | +| percentiles | list of numbers | list of percentile values to calculate. Defaults to `[2, 98]`. | `[2, 98]` | +| hist_options | dict | Options to forward to numpy.histogram function. | None | +| max_size | int | Limit the size of the longest dimension of the dataset read, respecting bounds X/Y aspect ratio. Defaults to 1024. | 1024 | +| kwargs | optional | Options to forward to the `self.preview` method. | None | + +**Returns:** + +| Type | Description | +|---|---| +| Dict[str, rio_tiler.models.BandStatistics] | bands statistics. | + + +#### parse_expression + +```python3 +def parse_expression( + self, + expression: str, + asset_as_band: bool = False +) -> Tuple +``` + +Parse rio-tiler band math expression. + + +#### part + +```python3 +def part( + self, + bbox: Tuple[float, float, float, float], + assets: Union[Sequence[str], str] = None, + expression: Union[str, NoneType] = None, + asset_indexes: Union[Dict[str, Union[Sequence[int], int]], NoneType] = None, + asset_as_band: bool = False, + **kwargs: Any +) -> rio_tiler.models.ImageData +``` + +Read and merge parts from multiple assets. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| bbox | tuple | Output bounds (left, bottom, right, top) in target crs. | None | +| assets | sequence of str or str | assets to fetch info from. | None | +| expression | str | rio-tiler expression for the asset list (e.g. asset1/asset2+asset3). | None | +| asset_indexes | dict | Band indexes for each asset (e.g {"asset1": 1, "asset2": (1, 2,)}). | None | +| kwargs | optional | Options to forward to the `self.reader.part` method. | None | + +**Returns:** + +| Type | Description | +|---|---| +| rio_tiler.models.ImageData | ImageData instance with data, mask and tile spatial info. | + + +#### point + +```python3 +def point( + self, + lon: float, + lat: float, + assets: Union[Sequence[str], str] = None, + expression: Union[str, NoneType] = None, + asset_indexes: Union[Dict[str, Union[Sequence[int], int]], NoneType] = None, + asset_as_band: bool = False, + **kwargs: Any +) -> rio_tiler.models.PointData +``` + +Read pixel value from multiple assets. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| lon | float | Longitude. | None | +| lat | float | Latitude. | None | +| assets | sequence of str or str | assets to fetch info from. | None | +| expression | str | rio-tiler expression for the asset list (e.g. asset1/asset2+asset3). | None | +| asset_indexes | dict | Band indexes for each asset (e.g {"asset1": 1, "asset2": (1, 2,)}). | None | +| kwargs | optional | Options to forward to the `self.reader.point` method. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | PointData | + + +#### preview + +```python3 +def preview( + self, + assets: Union[Sequence[str], str] = None, + expression: Union[str, NoneType] = None, + asset_indexes: Union[Dict[str, Union[Sequence[int], int]], NoneType] = None, + asset_as_band: bool = False, + **kwargs: Any +) -> rio_tiler.models.ImageData +``` + +Read and merge previews from multiple assets. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| assets | sequence of str or str | assets to fetch info from. | None | +| expression | str | rio-tiler expression for the asset list (e.g. asset1/asset2+asset3). | None | +| asset_indexes | dict | Band indexes for each asset (e.g {"asset1": 1, "asset2": (1, 2,)}). | None | +| kwargs | optional | Options to forward to the `self.reader.preview` method. | None | + +**Returns:** + +| Type | Description | +|---|---| +| rio_tiler.models.ImageData | ImageData instance with data, mask and tile spatial info. | + + +#### statistics + +```python3 +def statistics( + self, + assets: Union[Sequence[str], str] = None, + asset_indexes: Union[Dict[str, Union[Sequence[int], int]], NoneType] = None, + asset_expression: Union[Dict[str, str], NoneType] = None, + **kwargs: Any +) -> Dict[str, Dict[str, rio_tiler.models.BandStatistics]] +``` + +Return array statistics for multiple assets. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| assets | sequence of str or str | assets to fetch info from. | None | +| asset_indexes | dict | Band indexes for each asset (e.g {"asset1": 1, "asset2": (1, 2,)}). | None | +| asset_expression | dict | rio-tiler expression for each asset (e.g. {"asset1": "b1/b2+b3", "asset2": ...}). | None | +| kwargs | optional | Options to forward to the `self.reader.statistics` method. | None | + +**Returns:** + +| Type | Description | +|---|---| +| dict | Multiple assets statistics in form of {"asset1": {"1": rio_tiler.models.BandStatistics, ...}}. | + + +#### tile + +```python3 +def tile( + self, + tile_x: int, + tile_y: int, + tile_z: int, + assets: Union[Sequence[str], str] = None, + expression: Union[str, NoneType] = None, + asset_indexes: Union[Dict[str, Union[Sequence[int], int]], NoneType] = None, + asset_as_band: bool = False, + **kwargs: Any +) -> rio_tiler.models.ImageData +``` + +Read and merge Wep Map tiles from multiple assets. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| tile_x | int | Tile's horizontal index. | None | +| tile_y | int | Tile's vertical index. | None | +| tile_z | int | Tile's zoom level index. | None | +| assets | sequence of str or str | assets to fetch info from. | None | +| expression | str | rio-tiler expression for the asset list (e.g. asset1/asset2+asset3). | None | +| asset_indexes | dict | Band indexes for each asset (e.g {"asset1": 1, "asset2": (1, 2,)}). | None | +| kwargs | optional | Options to forward to the `self.reader.tile` method. | None | + +**Returns:** + +| Type | Description | +|---|---| +| rio_tiler.models.ImageData | ImageData instance with data, mask and tile spatial info. | + + +#### tile_exists + +```python3 +def tile_exists( + self, + tile_x: int, + tile_y: int, + tile_z: int +) -> bool +``` + +Check if a tile intersects the dataset bounds. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| tile_x | int | Tile's horizontal index. | None | +| tile_y | int | Tile's vertical index. | None | +| tile_z | int | Tile's zoom level index. | None | + +**Returns:** + +| Type | Description | +|---|---| +| bool | True if the tile intersects the dataset bounds. | + +### PGSTACBackend + +```python3 +class PGSTACBackend( + input: str, + pool: psycopg_pool.pool.ConnectionPool, + tms: morecantile.models.TileMatrixSet = None +``` + +We overwrite the default method. + + +#### write + +```python3 +def write( + self, + overwrite: bool = True +) -> None +``` + +This method is not used but is required by the abstract class. \ No newline at end of file diff --git a/1.0.0/api/titiler/pgstac/reader/index.html b/1.0.0/api/titiler/pgstac/reader/index.html new file mode 100644 index 00000000..0850e88d --- /dev/null +++ b/1.0.0/api/titiler/pgstac/reader/index.html @@ -0,0 +1,1921 @@ + + + + + + + + + + + + + + + + + + + + reader - TiTiler.PgSTAC + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ +
+ + + + + + +
+ + +
+ +
+ + + + + + +
+
+ + + +
+
+
+ + + + +
+
+
+ + + +
+
+
+ + + +
+
+
+ + + +
+
+ + + + + + + + + +

Module titiler.pgstac.reader

+

Custom STAC reader.

+

Variables

+
DEFAULT_VALID_TYPE
+
+
WGS84_CRS
+
+

Classes

+

PgSTACReader

+
class PgSTACReader(
+    input: pystac.item.Item,
+    tms: morecantile.models.TileMatrixSet = <TileMatrixSet title='Google Maps Compatible for the World' id='WebMercatorQuad' crs='http://www.opengis.net/def/crs/EPSG/0/3857>,
+    minzoom: int = NOTHING,
+    maxzoom: int = NOTHING,
+    geographic_crs: rasterio.crs.CRS = CRS.from_epsg(4326),
+    include_assets: Union[Set[str], NoneType] = None,
+    exclude_assets: Union[Set[str], NoneType] = None,
+    include_asset_types: Set[str] = {'image/tiff; profile=cloud-optimized; application=geotiff', 'application/x-hdf5', 'image/x.geotiff', 'image/vnd.stac.geotiff; cloud-optimized=true', 'image/tiff; application=geotiff; profile=cloud-optimized', 'image/jp2', 'application/x-hdf', 'image/tiff', 'image/tiff; application=geotiff'},
+    exclude_asset_types: Union[Set[str], NoneType] = None,
+    reader: Type[rio_tiler.io.base.BaseReader] = <class 'rio_tiler.io.rasterio.Reader'>,
+    reader_options: Dict = NOTHING,
+    ctx: Any = <class 'rasterio.env.Env'>
+)
+
+

Custom STAC Reader.

+

Only accept pystac.Item as input (while rio_tiler.io.STACReader accepts url or pystac.Item)

+

Ancestors (in MRO)

+
    +
  • rio_tiler.io.base.MultiBaseReader
    • +
  • rio_tiler.io.base.SpatialMixin
    • +
+

Instance variables

+
geographic_bounds
+
+

Return dataset bounds in geographic_crs.

+

Methods

+

feature

+
def feature(
+    self,
+    shape: Dict,
+    assets: Union[Sequence[str], str] = None,
+    expression: Union[str, NoneType] = None,
+    asset_indexes: Union[Dict[str, Union[Sequence[int], int]], NoneType] = None,
+    asset_as_band: bool = False,
+    **kwargs: Any
+) -> rio_tiler.models.ImageData
+
+

Read and merge parts defined by geojson feature from multiple assets.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
shapedictValid GeoJSON feature.None
assetssequence of str or strassets to fetch info from.None
expressionstrrio-tiler expression for the asset list (e.g. asset1/asset2+asset3).None
asset_indexesdictBand indexes for each asset (e.g {"asset1": 1, "asset2": (1, 2,)}).None
kwargsoptionalOptions to forward to the self.reader.feature method.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
rio_tiler.models.ImageDataImageData instance with data, mask and tile spatial info.
+

info

+
def info(
+    self,
+    assets: Union[Sequence[str], str] = None,
+    **kwargs: Any
+) -> Dict[str, rio_tiler.models.Info]
+
+

Return metadata from multiple assets.

+

Parameters:

+ + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
assetssequence of str or strassets to fetch info from. Required keyword argument.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
dictMultiple assets info in form of {"asset1": rio_tile.models.Info}.
+

merged_statistics

+
def merged_statistics(
+    self,
+    assets: Union[Sequence[str], str] = None,
+    expression: Union[str, NoneType] = None,
+    asset_indexes: Union[Dict[str, Union[Sequence[int], int]], NoneType] = None,
+    categorical: bool = False,
+    categories: Union[List[float], NoneType] = None,
+    percentiles: Union[List[int], NoneType] = None,
+    hist_options: Union[Dict, NoneType] = None,
+    max_size: int = 1024,
+    **kwargs: Any
+) -> Dict[str, rio_tiler.models.BandStatistics]
+
+

Return array statistics for multiple assets.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
assetssequence of str or strassets to fetch info from.None
expressionstrrio-tiler expression for the asset list (e.g. asset1/asset2+asset3).None
asset_indexesdictBand indexes for each asset (e.g {"asset1": 1, "asset2": (1, 2,)}).None
categoricalbooltreat input data as categorical data. Defaults to False.False
categorieslist of numberslist of categories to return value for.None
percentileslist of numberslist of percentile values to calculate. Defaults to [2, 98].[2, 98]
hist_optionsdictOptions to forward to numpy.histogram function.None
max_sizeintLimit the size of the longest dimension of the dataset read, respecting bounds X/Y aspect ratio. Defaults to 1024.1024
kwargsoptionalOptions to forward to the self.preview method.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
Dict[str, rio_tiler.models.BandStatistics]bands statistics.
+

parse_expression

+
def parse_expression(
+    self,
+    expression: str,
+    asset_as_band: bool = False
+) -> Tuple
+
+

Parse rio-tiler band math expression.

+

part

+
def part(
+    self,
+    bbox: Tuple[float, float, float, float],
+    assets: Union[Sequence[str], str] = None,
+    expression: Union[str, NoneType] = None,
+    asset_indexes: Union[Dict[str, Union[Sequence[int], int]], NoneType] = None,
+    asset_as_band: bool = False,
+    **kwargs: Any
+) -> rio_tiler.models.ImageData
+
+

Read and merge parts from multiple assets.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
bboxtupleOutput bounds (left, bottom, right, top) in target crs.None
assetssequence of str or strassets to fetch info from.None
expressionstrrio-tiler expression for the asset list (e.g. asset1/asset2+asset3).None
asset_indexesdictBand indexes for each asset (e.g {"asset1": 1, "asset2": (1, 2,)}).None
kwargsoptionalOptions to forward to the self.reader.part method.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
rio_tiler.models.ImageDataImageData instance with data, mask and tile spatial info.
+

point

+
def point(
+    self,
+    lon: float,
+    lat: float,
+    assets: Union[Sequence[str], str] = None,
+    expression: Union[str, NoneType] = None,
+    asset_indexes: Union[Dict[str, Union[Sequence[int], int]], NoneType] = None,
+    asset_as_band: bool = False,
+    **kwargs: Any
+) -> rio_tiler.models.PointData
+
+

Read pixel value from multiple assets.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
lonfloatLongitude.None
latfloatLatitude.None
assetssequence of str or strassets to fetch info from.None
expressionstrrio-tiler expression for the asset list (e.g. asset1/asset2+asset3).None
asset_indexesdictBand indexes for each asset (e.g {"asset1": 1, "asset2": (1, 2,)}).None
kwargsoptionalOptions to forward to the self.reader.point method.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NonePointData
+

preview

+
def preview(
+    self,
+    assets: Union[Sequence[str], str] = None,
+    expression: Union[str, NoneType] = None,
+    asset_indexes: Union[Dict[str, Union[Sequence[int], int]], NoneType] = None,
+    asset_as_band: bool = False,
+    **kwargs: Any
+) -> rio_tiler.models.ImageData
+
+

Read and merge previews from multiple assets.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
assetssequence of str or strassets to fetch info from.None
expressionstrrio-tiler expression for the asset list (e.g. asset1/asset2+asset3).None
asset_indexesdictBand indexes for each asset (e.g {"asset1": 1, "asset2": (1, 2,)}).None
kwargsoptionalOptions to forward to the self.reader.preview method.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
rio_tiler.models.ImageDataImageData instance with data, mask and tile spatial info.
+

statistics

+
def statistics(
+    self,
+    assets: Union[Sequence[str], str] = None,
+    asset_indexes: Union[Dict[str, Union[Sequence[int], int]], NoneType] = None,
+    asset_expression: Union[Dict[str, str], NoneType] = None,
+    **kwargs: Any
+) -> Dict[str, Dict[str, rio_tiler.models.BandStatistics]]
+
+

Return array statistics for multiple assets.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
assetssequence of str or strassets to fetch info from.None
asset_indexesdictBand indexes for each asset (e.g {"asset1": 1, "asset2": (1, 2,)}).None
asset_expressiondictrio-tiler expression for each asset (e.g. {"asset1": "b1/b2+b3", "asset2": ...}).None
kwargsoptionalOptions to forward to the self.reader.statistics method.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
dictMultiple assets statistics in form of {"asset1": {"1": rio_tiler.models.BandStatistics, ...}}.
+

tile

+
def tile(
+    self,
+    tile_x: int,
+    tile_y: int,
+    tile_z: int,
+    assets: Union[Sequence[str], str] = None,
+    expression: Union[str, NoneType] = None,
+    asset_indexes: Union[Dict[str, Union[Sequence[int], int]], NoneType] = None,
+    asset_as_band: bool = False,
+    **kwargs: Any
+) -> rio_tiler.models.ImageData
+
+

Read and merge Wep Map tiles from multiple assets.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
tile_xintTile's horizontal index.None
tile_yintTile's vertical index.None
tile_zintTile's zoom level index.None
assetssequence of str or strassets to fetch info from.None
expressionstrrio-tiler expression for the asset list (e.g. asset1/asset2+asset3).None
asset_indexesdictBand indexes for each asset (e.g {"asset1": 1, "asset2": (1, 2,)}).None
kwargsoptionalOptions to forward to the self.reader.tile method.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
rio_tiler.models.ImageDataImageData instance with data, mask and tile spatial info.
+

tile_exists

+
def tile_exists(
+    self,
+    tile_x: int,
+    tile_y: int,
+    tile_z: int
+) -> bool
+
+

Check if a tile intersects the dataset bounds.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
tile_xintTile's horizontal index.None
tile_yintTile's vertical index.None
tile_zintTile's zoom level index.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
boolTrue if the tile intersects the dataset bounds.
+ + + + + + +
+
+ + +
+ +
+ + + +
+
+
+
+ + + + + + + + + + \ No newline at end of file diff --git a/1.0.0/api/titiler/pgstac/reader/reader.md b/1.0.0/api/titiler/pgstac/reader/reader.md new file mode 100644 index 00000000..02c6e3d9 --- /dev/null +++ b/1.0.0/api/titiler/pgstac/reader/reader.md @@ -0,0 +1,358 @@ +# Module titiler.pgstac.reader + +Custom STAC reader. + +## Variables + +```python3 +DEFAULT_VALID_TYPE +``` + +```python3 +WGS84_CRS +``` + +## Classes + +### PgSTACReader + +```python3 +class PgSTACReader( + input: pystac.item.Item, + tms: morecantile.models.TileMatrixSet = , + reader_options: Dict = NOTHING, + ctx: Any = +) +``` + +Custom STAC Reader. + +Only accept `pystac.Item` as input (while rio_tiler.io.STACReader accepts url or pystac.Item) + +#### Ancestors (in MRO) + +* rio_tiler.io.base.MultiBaseReader +* rio_tiler.io.base.SpatialMixin + +#### Instance variables + +```python3 +geographic_bounds +``` + +Return dataset bounds in geographic_crs. + +#### Methods + + +#### feature + +```python3 +def feature( + self, + shape: Dict, + assets: Union[Sequence[str], str] = None, + expression: Union[str, NoneType] = None, + asset_indexes: Union[Dict[str, Union[Sequence[int], int]], NoneType] = None, + asset_as_band: bool = False, + **kwargs: Any +) -> rio_tiler.models.ImageData +``` + +Read and merge parts defined by geojson feature from multiple assets. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| shape | dict | Valid GeoJSON feature. | None | +| assets | sequence of str or str | assets to fetch info from. | None | +| expression | str | rio-tiler expression for the asset list (e.g. asset1/asset2+asset3). | None | +| asset_indexes | dict | Band indexes for each asset (e.g {"asset1": 1, "asset2": (1, 2,)}). | None | +| kwargs | optional | Options to forward to the `self.reader.feature` method. | None | + +**Returns:** + +| Type | Description | +|---|---| +| rio_tiler.models.ImageData | ImageData instance with data, mask and tile spatial info. | + + +#### info + +```python3 +def info( + self, + assets: Union[Sequence[str], str] = None, + **kwargs: Any +) -> Dict[str, rio_tiler.models.Info] +``` + +Return metadata from multiple assets. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| assets | sequence of str or str | assets to fetch info from. Required keyword argument. | None | + +**Returns:** + +| Type | Description | +|---|---| +| dict | Multiple assets info in form of {"asset1": rio_tile.models.Info}. | + + +#### merged_statistics + +```python3 +def merged_statistics( + self, + assets: Union[Sequence[str], str] = None, + expression: Union[str, NoneType] = None, + asset_indexes: Union[Dict[str, Union[Sequence[int], int]], NoneType] = None, + categorical: bool = False, + categories: Union[List[float], NoneType] = None, + percentiles: Union[List[int], NoneType] = None, + hist_options: Union[Dict, NoneType] = None, + max_size: int = 1024, + **kwargs: Any +) -> Dict[str, rio_tiler.models.BandStatistics] +``` + +Return array statistics for multiple assets. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| assets | sequence of str or str | assets to fetch info from. | None | +| expression | str | rio-tiler expression for the asset list (e.g. asset1/asset2+asset3). | None | +| asset_indexes | dict | Band indexes for each asset (e.g {"asset1": 1, "asset2": (1, 2,)}). | None | +| categorical | bool | treat input data as categorical data. Defaults to False. | False | +| categories | list of numbers | list of categories to return value for. | None | +| percentiles | list of numbers | list of percentile values to calculate. Defaults to `[2, 98]`. | `[2, 98]` | +| hist_options | dict | Options to forward to numpy.histogram function. | None | +| max_size | int | Limit the size of the longest dimension of the dataset read, respecting bounds X/Y aspect ratio. Defaults to 1024. | 1024 | +| kwargs | optional | Options to forward to the `self.preview` method. | None | + +**Returns:** + +| Type | Description | +|---|---| +| Dict[str, rio_tiler.models.BandStatistics] | bands statistics. | + + +#### parse_expression + +```python3 +def parse_expression( + self, + expression: str, + asset_as_band: bool = False +) -> Tuple +``` + +Parse rio-tiler band math expression. + + +#### part + +```python3 +def part( + self, + bbox: Tuple[float, float, float, float], + assets: Union[Sequence[str], str] = None, + expression: Union[str, NoneType] = None, + asset_indexes: Union[Dict[str, Union[Sequence[int], int]], NoneType] = None, + asset_as_band: bool = False, + **kwargs: Any +) -> rio_tiler.models.ImageData +``` + +Read and merge parts from multiple assets. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| bbox | tuple | Output bounds (left, bottom, right, top) in target crs. | None | +| assets | sequence of str or str | assets to fetch info from. | None | +| expression | str | rio-tiler expression for the asset list (e.g. asset1/asset2+asset3). | None | +| asset_indexes | dict | Band indexes for each asset (e.g {"asset1": 1, "asset2": (1, 2,)}). | None | +| kwargs | optional | Options to forward to the `self.reader.part` method. | None | + +**Returns:** + +| Type | Description | +|---|---| +| rio_tiler.models.ImageData | ImageData instance with data, mask and tile spatial info. | + + +#### point + +```python3 +def point( + self, + lon: float, + lat: float, + assets: Union[Sequence[str], str] = None, + expression: Union[str, NoneType] = None, + asset_indexes: Union[Dict[str, Union[Sequence[int], int]], NoneType] = None, + asset_as_band: bool = False, + **kwargs: Any +) -> rio_tiler.models.PointData +``` + +Read pixel value from multiple assets. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| lon | float | Longitude. | None | +| lat | float | Latitude. | None | +| assets | sequence of str or str | assets to fetch info from. | None | +| expression | str | rio-tiler expression for the asset list (e.g. asset1/asset2+asset3). | None | +| asset_indexes | dict | Band indexes for each asset (e.g {"asset1": 1, "asset2": (1, 2,)}). | None | +| kwargs | optional | Options to forward to the `self.reader.point` method. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | PointData | + + +#### preview + +```python3 +def preview( + self, + assets: Union[Sequence[str], str] = None, + expression: Union[str, NoneType] = None, + asset_indexes: Union[Dict[str, Union[Sequence[int], int]], NoneType] = None, + asset_as_band: bool = False, + **kwargs: Any +) -> rio_tiler.models.ImageData +``` + +Read and merge previews from multiple assets. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| assets | sequence of str or str | assets to fetch info from. | None | +| expression | str | rio-tiler expression for the asset list (e.g. asset1/asset2+asset3). | None | +| asset_indexes | dict | Band indexes for each asset (e.g {"asset1": 1, "asset2": (1, 2,)}). | None | +| kwargs | optional | Options to forward to the `self.reader.preview` method. | None | + +**Returns:** + +| Type | Description | +|---|---| +| rio_tiler.models.ImageData | ImageData instance with data, mask and tile spatial info. | + + +#### statistics + +```python3 +def statistics( + self, + assets: Union[Sequence[str], str] = None, + asset_indexes: Union[Dict[str, Union[Sequence[int], int]], NoneType] = None, + asset_expression: Union[Dict[str, str], NoneType] = None, + **kwargs: Any +) -> Dict[str, Dict[str, rio_tiler.models.BandStatistics]] +``` + +Return array statistics for multiple assets. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| assets | sequence of str or str | assets to fetch info from. | None | +| asset_indexes | dict | Band indexes for each asset (e.g {"asset1": 1, "asset2": (1, 2,)}). | None | +| asset_expression | dict | rio-tiler expression for each asset (e.g. {"asset1": "b1/b2+b3", "asset2": ...}). | None | +| kwargs | optional | Options to forward to the `self.reader.statistics` method. | None | + +**Returns:** + +| Type | Description | +|---|---| +| dict | Multiple assets statistics in form of {"asset1": {"1": rio_tiler.models.BandStatistics, ...}}. | + + +#### tile + +```python3 +def tile( + self, + tile_x: int, + tile_y: int, + tile_z: int, + assets: Union[Sequence[str], str] = None, + expression: Union[str, NoneType] = None, + asset_indexes: Union[Dict[str, Union[Sequence[int], int]], NoneType] = None, + asset_as_band: bool = False, + **kwargs: Any +) -> rio_tiler.models.ImageData +``` + +Read and merge Wep Map tiles from multiple assets. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| tile_x | int | Tile's horizontal index. | None | +| tile_y | int | Tile's vertical index. | None | +| tile_z | int | Tile's zoom level index. | None | +| assets | sequence of str or str | assets to fetch info from. | None | +| expression | str | rio-tiler expression for the asset list (e.g. asset1/asset2+asset3). | None | +| asset_indexes | dict | Band indexes for each asset (e.g {"asset1": 1, "asset2": (1, 2,)}). | None | +| kwargs | optional | Options to forward to the `self.reader.tile` method. | None | + +**Returns:** + +| Type | Description | +|---|---| +| rio_tiler.models.ImageData | ImageData instance with data, mask and tile spatial info. | + + +#### tile_exists + +```python3 +def tile_exists( + self, + tile_x: int, + tile_y: int, + tile_z: int +) -> bool +``` + +Check if a tile intersects the dataset bounds. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| tile_x | int | Tile's horizontal index. | None | +| tile_y | int | Tile's vertical index. | None | +| tile_z | int | Tile's zoom level index. | None | + +**Returns:** + +| Type | Description | +|---|---| +| bool | True if the tile intersects the dataset bounds. | \ No newline at end of file diff --git a/1.0.0/api/titiler/pgstac/settings/index.html b/1.0.0/api/titiler/pgstac/settings/index.html new file mode 100644 index 00000000..e5585e91 --- /dev/null +++ b/1.0.0/api/titiler/pgstac/settings/index.html @@ -0,0 +1,5355 @@ + + + + + + + + + + + + + + + + + + + + settings - TiTiler.PgSTAC + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ +
+ + + + + + +
+ + +
+ +
+ + + + + + +
+
+ + + +
+
+
+ + + + +
+
+
+ + + +
+
+
+ + + +
+
+
+ + + +
+
+ + + + + + + + + +

Module titiler.pgstac.settings

+

API settings.

+

Functions

+

RetrySettings

+
def RetrySettings(
+
+) -> titiler.pgstac.settings._RetrySettings
+
+

This function returns a cached instance of the RetrySettings object.

+

Classes

+

ApiSettings

+
class ApiSettings(
+    __pydantic_self__,
+    _case_sensitive: 'bool | None' = None,
+    _env_prefix: 'str | None' = None,
+    _env_file: 'DotenvType | None' = PosixPath('.'),
+    _env_file_encoding: 'str | None' = None,
+    _env_nested_delimiter: 'str | None' = None,
+    _secrets_dir: 'str | Path | None' = None,
+    **values: 'Any'
+)
+
+

API settings

+

Ancestors (in MRO)

+
    +
  • pydantic_settings.main.BaseSettings
    • +
  • pydantic.main.BaseModel
    • +
+

Class variables

+
model_config
+
+
model_fields
+
+

Static methods

+

construct

+
def construct(
+    _fields_set: 'set[str] | None' = None,
+    **values: 'Any'
+) -> 'Model'
+
+

from_orm

+
def from_orm(
+    obj: 'Any'
+) -> 'Model'
+
+

model_construct

+
def model_construct(
+    _fields_set: 'set[str] | None' = None,
+    **values: 'Any'
+) -> 'Model'
+
+

Creates a new instance of the Model class with validated data.

+

Creates a new model setting __dict__ and __pydantic_fields_set__ from trusted or pre-validated data. +Default values are respected, but no other validation is performed. +Behaves as if Config.extra = 'allow' was set since it adds all passed values

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
_fields_setNoneThe set of field names accepted for the Model instance.None
valuesNoneTrusted or pre-validated data dictionary.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneA new instance of the Model class with validated data.
+

model_json_schema

+
def model_json_schema(
+    by_alias: 'bool' = True,
+    ref_template: 'str' = '#/$defs/{model}',
+    schema_generator: 'type[GenerateJsonSchema]' = <class 'pydantic.json_schema.GenerateJsonSchema'>,
+    mode: 'JsonSchemaMode' = 'validation'
+) -> 'dict[str, Any]'
+
+

Generates a JSON schema for a model class.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
by_aliasNoneWhether to use attribute aliases or not.None
ref_templateNoneThe reference template.None
schema_generatorNoneTo override the logic used to generate the JSON schema, as a subclass of
GenerateJsonSchema with your desired modifications		None
modeNoneThe mode in which to generate the schema.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneThe JSON schema for the given model class.
+

model_parametrized_name

+
def model_parametrized_name(
+    params: 'tuple[type[Any], ...]'
+) -> 'str'
+
+

Compute the class name for parametrizations of generic classes.

+

This method can be overridden to achieve a custom naming scheme for generic BaseModels.

+

Parameters:

+ + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
paramsNoneTuple of types of the class. Given a generic class
Model with 2 type variables and a concrete model Model[str, int],
the value (str, int) would be passed to params.		None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneString representing the new class where params are passed to cls as type variables.
+

Raises:

+ + + + + + + + + + + + + +
TypeDescription
TypeErrorRaised when trying to generate concrete names for non-generic models.
+

model_rebuild

+
def model_rebuild(
+    *,
+    force: 'bool' = False,
+    raise_errors: 'bool' = True,
+    _parent_namespace_depth: 'int' = 2,
+    _types_namespace: 'dict[str, Any] | None' = None
+) -> 'bool | None'
+
+

Try to rebuild the pydantic-core schema for the model.

+

This may be necessary when one of the annotations is a ForwardRef which could not be resolved during +the initial attempt to build the schema, and automatic rebuilding fails.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
forceNoneWhether to force the rebuilding of the model schema, defaults to False.None
raise_errorsNoneWhether to raise errors, defaults to True.None
_parent_namespace_depthNoneThe depth level of the parent namespace, defaults to 2.None
_types_namespaceNoneThe types namespace, defaults to None.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneReturns None if the schema is already "complete" and rebuilding was not required.
If rebuilding was required, returns True if rebuilding was successful, otherwise False.
+

model_validate

+
def model_validate(
+    obj: 'Any',
+    *,
+    strict: 'bool | None' = None,
+    from_attributes: 'bool | None' = None,
+    context: 'dict[str, Any] | None' = None
+) -> 'Model'
+
+

Validate a pydantic model instance.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
objNoneThe object to validate.None
strictNoneWhether to raise an exception on invalid fields.None
from_attributesNoneWhether to extract data from object attributes.None
contextNoneAdditional context to pass to the validator.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneThe validated model instance.
+

Raises:

+ + + + + + + + + + + + + +
TypeDescription
ValidationErrorIf the object could not be validated.
+

model_validate_json

+
def model_validate_json(
+    json_data: 'str | bytes | bytearray',
+    *,
+    strict: 'bool | None' = None,
+    context: 'dict[str, Any] | None' = None
+) -> 'Model'
+
+

Usage docs: docs.pydantic.dev/2.5/concepts/json/#json-parsing

+

Validate the given JSON data against the Pydantic model.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
json_dataNoneThe JSON data to validate.None
strictNoneWhether to enforce types strictly.None
contextNoneExtra variables to pass to the validator.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneThe validated Pydantic model.
+

Raises:

+ + + + + + + + + + + + + +
TypeDescription
ValueErrorIf json_data is not a JSON string.
+

model_validate_strings

+
def model_validate_strings(
+    obj: 'Any',
+    *,
+    strict: 'bool | None' = None,
+    context: 'dict[str, Any] | None' = None
+) -> 'Model'
+
+

Validate the given object contains string data against the Pydantic model.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
objNoneThe object contains string data to validate.None
strictNoneWhether to enforce types strictly.None
contextNoneExtra variables to pass to the validator.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneThe validated Pydantic model.
+

parse_cors_origin

+
def parse_cors_origin(
+    v
+)
+
+

Parse CORS origins.

+

parse_file

+
def parse_file(
+    path: 'str | Path',
+    *,
+    content_type: 'str | None' = None,
+    encoding: 'str' = 'utf8',
+    proto: 'DeprecatedParseProtocol | None' = None,
+    allow_pickle: 'bool' = False
+) -> 'Model'
+
+

parse_obj

+
def parse_obj(
+    obj: 'Any'
+) -> 'Model'
+
+

parse_raw

+
def parse_raw(
+    b: 'str | bytes',
+    *,
+    content_type: 'str | None' = None,
+    encoding: 'str' = 'utf8',
+    proto: 'DeprecatedParseProtocol | None' = None,
+    allow_pickle: 'bool' = False
+) -> 'Model'
+
+

schema

+
def schema(
+    by_alias: 'bool' = True,
+    ref_template: 'str' = '#/$defs/{model}'
+) -> 'typing.Dict[str, Any]'
+
+

schema_json

+
def schema_json(
+    *,
+    by_alias: 'bool' = True,
+    ref_template: 'str' = '#/$defs/{model}',
+    **dumps_kwargs: 'Any'
+) -> 'str'
+
+

settings_customise_sources

+
def settings_customise_sources(
+    settings_cls: 'type[BaseSettings]',
+    init_settings: 'PydanticBaseSettingsSource',
+    env_settings: 'PydanticBaseSettingsSource',
+    dotenv_settings: 'PydanticBaseSettingsSource',
+    file_secret_settings: 'PydanticBaseSettingsSource'
+) -> 'tuple[PydanticBaseSettingsSource, ...]'
+
+

Define the sources and their order for loading the settings values.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
settings_clsNoneThe Settings class.None
init_settingsNoneThe InitSettingsSource instance.None
env_settingsNoneThe EnvSettingsSource instance.None
dotenv_settingsNoneThe DotEnvSettingsSource instance.None
file_secret_settingsNoneThe SecretsSettingsSource instance.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneA tuple containing the sources and their order for loading the settings values.
+

update_forward_refs

+
def update_forward_refs(
+    **localns: 'Any'
+) -> 'None'
+
+

validate

+
def validate(
+    value: 'Any'
+) -> 'Model'
+
+

Instance variables

+
model_computed_fields
+
+

Get the computed fields of this model instance.

+
model_extra
+
+

Get extra fields set during validation.

+
model_fields_set
+
+

Returns the set of fields that have been explicitly set on this model instance.

+

Methods

+

copy

+
def copy(
+    self: 'Model',
+    *,
+    include: 'AbstractSetIntStr | MappingIntStrAny | None' = None,
+    exclude: 'AbstractSetIntStr | MappingIntStrAny | None' = None,
+    update: 'typing.Dict[str, Any] | None' = None,
+    deep: 'bool' = False
+) -> 'Model'
+
+

Returns a copy of the model.

+
+

Deprecated

+

This method is now deprecated; use model_copy instead.

+
+

If you need include or exclude, use:

+
data = self.model_dump(include=include, exclude=exclude, round_trip=True)
+data = {**data, **(update or {})}
+copied = self.model_validate(data)
+
+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
includeNoneOptional set or mapping
specifying which fields to include in the copied model.		None
excludeNoneOptional set or mapping
specifying which fields to exclude in the copied model.		None
updateNoneOptional dictionary of field-value pairs to override field values
in the copied model.		None
deepNoneIf True, the values of fields that are Pydantic models will be deep copied.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneA copy of the model with included, excluded and updated fields as specified.
+

dict

+
def dict(
+    self,
+    *,
+    include: 'IncEx' = None,
+    exclude: 'IncEx' = None,
+    by_alias: 'bool' = False,
+    exclude_unset: 'bool' = False,
+    exclude_defaults: 'bool' = False,
+    exclude_none: 'bool' = False
+) -> 'typing.Dict[str, Any]'
+
+

json

+
def json(
+    self,
+    *,
+    include: 'IncEx' = None,
+    exclude: 'IncEx' = None,
+    by_alias: 'bool' = False,
+    exclude_unset: 'bool' = False,
+    exclude_defaults: 'bool' = False,
+    exclude_none: 'bool' = False,
+    encoder: 'typing.Callable[[Any], Any] | None' = PydanticUndefined,
+    models_as_dict: 'bool' = PydanticUndefined,
+    **dumps_kwargs: 'Any'
+) -> 'str'
+
+

model_copy

+
def model_copy(
+    self: 'Model',
+    *,
+    update: 'dict[str, Any] | None' = None,
+    deep: 'bool' = False
+) -> 'Model'
+
+

Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#model_copy

+

Returns a copy of the model.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
updateNoneValues to change/add in the new model. Note: the data is not validated
before creating the new model. You should trust this data.		None
deepNoneSet to True to make a deep copy of the model.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneNew model instance.
+

model_dump

+
def model_dump(
+    self,
+    *,
+    mode: "Literal[('json', 'python')] | str" = 'python',
+    include: 'IncEx' = None,
+    exclude: 'IncEx' = None,
+    by_alias: 'bool' = False,
+    exclude_unset: 'bool' = False,
+    exclude_defaults: 'bool' = False,
+    exclude_none: 'bool' = False,
+    round_trip: 'bool' = False,
+    warnings: 'bool' = True
+) -> 'dict[str, Any]'
+
+

Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#modelmodel_dump

+

Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
modeNoneThe mode in which to_python should run.
If mode is 'json', the dictionary will only contain JSON serializable types.
If mode is 'python', the dictionary may contain any Python objects.		None
includeNoneA list of fields to include in the output.None
excludeNoneA list of fields to exclude from the output.None
by_aliasNoneWhether to use the field's alias in the dictionary key if defined.None
exclude_unsetNoneWhether to exclude fields that have not been explicitly set.None
exclude_defaultsNoneWhether to exclude fields that are set to their default value from the output.None
exclude_noneNoneWhether to exclude fields that have a value of None from the output.None
round_tripNoneWhether to enable serialization and deserialization round-trip support.None
warningsNoneWhether to log warnings when invalid fields are encountered.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneA dictionary representation of the model.
+

model_dump_json

+
def model_dump_json(
+    self,
+    *,
+    indent: 'int | None' = None,
+    include: 'IncEx' = None,
+    exclude: 'IncEx' = None,
+    by_alias: 'bool' = False,
+    exclude_unset: 'bool' = False,
+    exclude_defaults: 'bool' = False,
+    exclude_none: 'bool' = False,
+    round_trip: 'bool' = False,
+    warnings: 'bool' = True
+) -> 'str'
+
+

Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#modelmodel_dump_json

+

Generates a JSON representation of the model using Pydantic's to_json method.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
indentNoneIndentation to use in the JSON output. If None is passed, the output will be compact.None
includeNoneField(s) to include in the JSON output. Can take either a string or set of strings.None
excludeNoneField(s) to exclude from the JSON output. Can take either a string or set of strings.None
by_aliasNoneWhether to serialize using field aliases.None
exclude_unsetNoneWhether to exclude fields that have not been explicitly set.None
exclude_defaultsNoneWhether to exclude fields that have the default value.None
exclude_noneNoneWhether to exclude fields that have a value of None.None
round_tripNoneWhether to use serialization/deserialization between JSON and class instance.None
warningsNoneWhether to show any warnings that occurred during serialization.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneA JSON string representation of the model.
+

model_post_init

+
def model_post_init(
+    self,
+    _BaseModel__context: 'Any'
+) -> 'None'
+
+

Override this method to perform additional initialization after __init__ and model_construct.

+

This is useful if you want to do some validation that requires the entire model to be initialized.

+

CacheSettings

+
class CacheSettings(
+    __pydantic_self__,
+    _case_sensitive: 'bool | None' = None,
+    _env_prefix: 'str | None' = None,
+    _env_file: 'DotenvType | None' = PosixPath('.'),
+    _env_file_encoding: 'str | None' = None,
+    _env_nested_delimiter: 'str | None' = None,
+    _secrets_dir: 'str | Path | None' = None,
+    **values: 'Any'
+)
+
+

Cache settings

+

Ancestors (in MRO)

+
    +
  • pydantic_settings.main.BaseSettings
    • +
  • pydantic.main.BaseModel
    • +
+

Class variables

+
model_config
+
+
model_fields
+
+

Static methods

+

construct

+
def construct(
+    _fields_set: 'set[str] | None' = None,
+    **values: 'Any'
+) -> 'Model'
+
+

from_orm

+
def from_orm(
+    obj: 'Any'
+) -> 'Model'
+
+

model_construct

+
def model_construct(
+    _fields_set: 'set[str] | None' = None,
+    **values: 'Any'
+) -> 'Model'
+
+

Creates a new instance of the Model class with validated data.

+

Creates a new model setting __dict__ and __pydantic_fields_set__ from trusted or pre-validated data. +Default values are respected, but no other validation is performed. +Behaves as if Config.extra = 'allow' was set since it adds all passed values

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
_fields_setNoneThe set of field names accepted for the Model instance.None
valuesNoneTrusted or pre-validated data dictionary.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneA new instance of the Model class with validated data.
+

model_json_schema

+
def model_json_schema(
+    by_alias: 'bool' = True,
+    ref_template: 'str' = '#/$defs/{model}',
+    schema_generator: 'type[GenerateJsonSchema]' = <class 'pydantic.json_schema.GenerateJsonSchema'>,
+    mode: 'JsonSchemaMode' = 'validation'
+) -> 'dict[str, Any]'
+
+

Generates a JSON schema for a model class.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
by_aliasNoneWhether to use attribute aliases or not.None
ref_templateNoneThe reference template.None
schema_generatorNoneTo override the logic used to generate the JSON schema, as a subclass of
GenerateJsonSchema with your desired modifications		None
modeNoneThe mode in which to generate the schema.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneThe JSON schema for the given model class.
+

model_parametrized_name

+
def model_parametrized_name(
+    params: 'tuple[type[Any], ...]'
+) -> 'str'
+
+

Compute the class name for parametrizations of generic classes.

+

This method can be overridden to achieve a custom naming scheme for generic BaseModels.

+

Parameters:

+ + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
paramsNoneTuple of types of the class. Given a generic class
Model with 2 type variables and a concrete model Model[str, int],
the value (str, int) would be passed to params.		None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneString representing the new class where params are passed to cls as type variables.
+

Raises:

+ + + + + + + + + + + + + +
TypeDescription
TypeErrorRaised when trying to generate concrete names for non-generic models.
+

model_rebuild

+
def model_rebuild(
+    *,
+    force: 'bool' = False,
+    raise_errors: 'bool' = True,
+    _parent_namespace_depth: 'int' = 2,
+    _types_namespace: 'dict[str, Any] | None' = None
+) -> 'bool | None'
+
+

Try to rebuild the pydantic-core schema for the model.

+

This may be necessary when one of the annotations is a ForwardRef which could not be resolved during +the initial attempt to build the schema, and automatic rebuilding fails.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
forceNoneWhether to force the rebuilding of the model schema, defaults to False.None
raise_errorsNoneWhether to raise errors, defaults to True.None
_parent_namespace_depthNoneThe depth level of the parent namespace, defaults to 2.None
_types_namespaceNoneThe types namespace, defaults to None.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneReturns None if the schema is already "complete" and rebuilding was not required.
If rebuilding was required, returns True if rebuilding was successful, otherwise False.
+

model_validate

+
def model_validate(
+    obj: 'Any',
+    *,
+    strict: 'bool | None' = None,
+    from_attributes: 'bool | None' = None,
+    context: 'dict[str, Any] | None' = None
+) -> 'Model'
+
+

Validate a pydantic model instance.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
objNoneThe object to validate.None
strictNoneWhether to raise an exception on invalid fields.None
from_attributesNoneWhether to extract data from object attributes.None
contextNoneAdditional context to pass to the validator.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneThe validated model instance.
+

Raises:

+ + + + + + + + + + + + + +
TypeDescription
ValidationErrorIf the object could not be validated.
+

model_validate_json

+
def model_validate_json(
+    json_data: 'str | bytes | bytearray',
+    *,
+    strict: 'bool | None' = None,
+    context: 'dict[str, Any] | None' = None
+) -> 'Model'
+
+

Usage docs: docs.pydantic.dev/2.5/concepts/json/#json-parsing

+

Validate the given JSON data against the Pydantic model.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
json_dataNoneThe JSON data to validate.None
strictNoneWhether to enforce types strictly.None
contextNoneExtra variables to pass to the validator.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneThe validated Pydantic model.
+

Raises:

+ + + + + + + + + + + + + +
TypeDescription
ValueErrorIf json_data is not a JSON string.
+

model_validate_strings

+
def model_validate_strings(
+    obj: 'Any',
+    *,
+    strict: 'bool | None' = None,
+    context: 'dict[str, Any] | None' = None
+) -> 'Model'
+
+

Validate the given object contains string data against the Pydantic model.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
objNoneThe object contains string data to validate.None
strictNoneWhether to enforce types strictly.None
contextNoneExtra variables to pass to the validator.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneThe validated Pydantic model.
+

parse_file

+
def parse_file(
+    path: 'str | Path',
+    *,
+    content_type: 'str | None' = None,
+    encoding: 'str' = 'utf8',
+    proto: 'DeprecatedParseProtocol | None' = None,
+    allow_pickle: 'bool' = False
+) -> 'Model'
+
+

parse_obj

+
def parse_obj(
+    obj: 'Any'
+) -> 'Model'
+
+

parse_raw

+
def parse_raw(
+    b: 'str | bytes',
+    *,
+    content_type: 'str | None' = None,
+    encoding: 'str' = 'utf8',
+    proto: 'DeprecatedParseProtocol | None' = None,
+    allow_pickle: 'bool' = False
+) -> 'Model'
+
+

schema

+
def schema(
+    by_alias: 'bool' = True,
+    ref_template: 'str' = '#/$defs/{model}'
+) -> 'typing.Dict[str, Any]'
+
+

schema_json

+
def schema_json(
+    *,
+    by_alias: 'bool' = True,
+    ref_template: 'str' = '#/$defs/{model}',
+    **dumps_kwargs: 'Any'
+) -> 'str'
+
+

settings_customise_sources

+
def settings_customise_sources(
+    settings_cls: 'type[BaseSettings]',
+    init_settings: 'PydanticBaseSettingsSource',
+    env_settings: 'PydanticBaseSettingsSource',
+    dotenv_settings: 'PydanticBaseSettingsSource',
+    file_secret_settings: 'PydanticBaseSettingsSource'
+) -> 'tuple[PydanticBaseSettingsSource, ...]'
+
+

Define the sources and their order for loading the settings values.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
settings_clsNoneThe Settings class.None
init_settingsNoneThe InitSettingsSource instance.None
env_settingsNoneThe EnvSettingsSource instance.None
dotenv_settingsNoneThe DotEnvSettingsSource instance.None
file_secret_settingsNoneThe SecretsSettingsSource instance.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneA tuple containing the sources and their order for loading the settings values.
+

update_forward_refs

+
def update_forward_refs(
+    **localns: 'Any'
+) -> 'None'
+
+

validate

+
def validate(
+    value: 'Any'
+) -> 'Model'
+
+

Instance variables

+
model_computed_fields
+
+

Get the computed fields of this model instance.

+
model_extra
+
+

Get extra fields set during validation.

+
model_fields_set
+
+

Returns the set of fields that have been explicitly set on this model instance.

+

Methods

+

check_enable

+
def check_enable(
+    self
+)
+
+

Check if cache is disabled.

+

copy

+
def copy(
+    self: 'Model',
+    *,
+    include: 'AbstractSetIntStr | MappingIntStrAny | None' = None,
+    exclude: 'AbstractSetIntStr | MappingIntStrAny | None' = None,
+    update: 'typing.Dict[str, Any] | None' = None,
+    deep: 'bool' = False
+) -> 'Model'
+
+

Returns a copy of the model.

+
+

Deprecated

+

This method is now deprecated; use model_copy instead.

+
+

If you need include or exclude, use:

+
data = self.model_dump(include=include, exclude=exclude, round_trip=True)
+data = {**data, **(update or {})}
+copied = self.model_validate(data)
+
+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
includeNoneOptional set or mapping
specifying which fields to include in the copied model.		None
excludeNoneOptional set or mapping
specifying which fields to exclude in the copied model.		None
updateNoneOptional dictionary of field-value pairs to override field values
in the copied model.		None
deepNoneIf True, the values of fields that are Pydantic models will be deep copied.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneA copy of the model with included, excluded and updated fields as specified.
+

dict

+
def dict(
+    self,
+    *,
+    include: 'IncEx' = None,
+    exclude: 'IncEx' = None,
+    by_alias: 'bool' = False,
+    exclude_unset: 'bool' = False,
+    exclude_defaults: 'bool' = False,
+    exclude_none: 'bool' = False
+) -> 'typing.Dict[str, Any]'
+
+

json

+
def json(
+    self,
+    *,
+    include: 'IncEx' = None,
+    exclude: 'IncEx' = None,
+    by_alias: 'bool' = False,
+    exclude_unset: 'bool' = False,
+    exclude_defaults: 'bool' = False,
+    exclude_none: 'bool' = False,
+    encoder: 'typing.Callable[[Any], Any] | None' = PydanticUndefined,
+    models_as_dict: 'bool' = PydanticUndefined,
+    **dumps_kwargs: 'Any'
+) -> 'str'
+
+

model_copy

+
def model_copy(
+    self: 'Model',
+    *,
+    update: 'dict[str, Any] | None' = None,
+    deep: 'bool' = False
+) -> 'Model'
+
+

Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#model_copy

+

Returns a copy of the model.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
updateNoneValues to change/add in the new model. Note: the data is not validated
before creating the new model. You should trust this data.		None
deepNoneSet to True to make a deep copy of the model.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneNew model instance.
+

model_dump

+
def model_dump(
+    self,
+    *,
+    mode: "Literal[('json', 'python')] | str" = 'python',
+    include: 'IncEx' = None,
+    exclude: 'IncEx' = None,
+    by_alias: 'bool' = False,
+    exclude_unset: 'bool' = False,
+    exclude_defaults: 'bool' = False,
+    exclude_none: 'bool' = False,
+    round_trip: 'bool' = False,
+    warnings: 'bool' = True
+) -> 'dict[str, Any]'
+
+

Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#modelmodel_dump

+

Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
modeNoneThe mode in which to_python should run.
If mode is 'json', the dictionary will only contain JSON serializable types.
If mode is 'python', the dictionary may contain any Python objects.		None
includeNoneA list of fields to include in the output.None
excludeNoneA list of fields to exclude from the output.None
by_aliasNoneWhether to use the field's alias in the dictionary key if defined.None
exclude_unsetNoneWhether to exclude fields that have not been explicitly set.None
exclude_defaultsNoneWhether to exclude fields that are set to their default value from the output.None
exclude_noneNoneWhether to exclude fields that have a value of None from the output.None
round_tripNoneWhether to enable serialization and deserialization round-trip support.None
warningsNoneWhether to log warnings when invalid fields are encountered.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneA dictionary representation of the model.
+

model_dump_json

+
def model_dump_json(
+    self,
+    *,
+    indent: 'int | None' = None,
+    include: 'IncEx' = None,
+    exclude: 'IncEx' = None,
+    by_alias: 'bool' = False,
+    exclude_unset: 'bool' = False,
+    exclude_defaults: 'bool' = False,
+    exclude_none: 'bool' = False,
+    round_trip: 'bool' = False,
+    warnings: 'bool' = True
+) -> 'str'
+
+

Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#modelmodel_dump_json

+

Generates a JSON representation of the model using Pydantic's to_json method.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
indentNoneIndentation to use in the JSON output. If None is passed, the output will be compact.None
includeNoneField(s) to include in the JSON output. Can take either a string or set of strings.None
excludeNoneField(s) to exclude from the JSON output. Can take either a string or set of strings.None
by_aliasNoneWhether to serialize using field aliases.None
exclude_unsetNoneWhether to exclude fields that have not been explicitly set.None
exclude_defaultsNoneWhether to exclude fields that have the default value.None
exclude_noneNoneWhether to exclude fields that have a value of None.None
round_tripNoneWhether to use serialization/deserialization between JSON and class instance.None
warningsNoneWhether to show any warnings that occurred during serialization.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneA JSON string representation of the model.
+

model_post_init

+
def model_post_init(
+    self,
+    _BaseModel__context: 'Any'
+) -> 'None'
+
+

Override this method to perform additional initialization after __init__ and model_construct.

+

This is useful if you want to do some validation that requires the entire model to be initialized.

+

PostgresSettings

+
class PostgresSettings(
+    __pydantic_self__,
+    _case_sensitive: 'bool | None' = None,
+    _env_prefix: 'str | None' = None,
+    _env_file: 'DotenvType | None' = PosixPath('.'),
+    _env_file_encoding: 'str | None' = None,
+    _env_nested_delimiter: 'str | None' = None,
+    _secrets_dir: 'str | Path | None' = None,
+    **values: 'Any'
+)
+
+

Postgres-specific API settings.

+

Attributes

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
postgres_userNonepostgres username.None
postgres_passNonepostgres password.None
postgres_hostNonedatabase hostname.None
postgres_portNonedatabase port.None
postgres_dbnameNonedatabase name.None
+

Ancestors (in MRO)

+
    +
  • pydantic_settings.main.BaseSettings
    • +
  • pydantic.main.BaseModel
    • +
+

Class variables

+
model_config
+
+
model_fields
+
+

Static methods

+

assemble_db_connection

+
def assemble_db_connection(
+    v: Union[str, NoneType],
+    info: pydantic_core.core_schema.ValidationInfo
+) -> Any
+
+

Validate database config.

+

construct

+
def construct(
+    _fields_set: 'set[str] | None' = None,
+    **values: 'Any'
+) -> 'Model'
+
+

from_orm

+
def from_orm(
+    obj: 'Any'
+) -> 'Model'
+
+

model_construct

+
def model_construct(
+    _fields_set: 'set[str] | None' = None,
+    **values: 'Any'
+) -> 'Model'
+
+

Creates a new instance of the Model class with validated data.

+

Creates a new model setting __dict__ and __pydantic_fields_set__ from trusted or pre-validated data. +Default values are respected, but no other validation is performed. +Behaves as if Config.extra = 'allow' was set since it adds all passed values

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
_fields_setNoneThe set of field names accepted for the Model instance.None
valuesNoneTrusted or pre-validated data dictionary.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneA new instance of the Model class with validated data.
+

model_json_schema

+
def model_json_schema(
+    by_alias: 'bool' = True,
+    ref_template: 'str' = '#/$defs/{model}',
+    schema_generator: 'type[GenerateJsonSchema]' = <class 'pydantic.json_schema.GenerateJsonSchema'>,
+    mode: 'JsonSchemaMode' = 'validation'
+) -> 'dict[str, Any]'
+
+

Generates a JSON schema for a model class.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
by_aliasNoneWhether to use attribute aliases or not.None
ref_templateNoneThe reference template.None
schema_generatorNoneTo override the logic used to generate the JSON schema, as a subclass of
GenerateJsonSchema with your desired modifications		None
modeNoneThe mode in which to generate the schema.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneThe JSON schema for the given model class.
+

model_parametrized_name

+
def model_parametrized_name(
+    params: 'tuple[type[Any], ...]'
+) -> 'str'
+
+

Compute the class name for parametrizations of generic classes.

+

This method can be overridden to achieve a custom naming scheme for generic BaseModels.

+

Parameters:

+ + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
paramsNoneTuple of types of the class. Given a generic class
Model with 2 type variables and a concrete model Model[str, int],
the value (str, int) would be passed to params.		None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneString representing the new class where params are passed to cls as type variables.
+

Raises:

+ + + + + + + + + + + + + +
TypeDescription
TypeErrorRaised when trying to generate concrete names for non-generic models.
+

model_rebuild

+
def model_rebuild(
+    *,
+    force: 'bool' = False,
+    raise_errors: 'bool' = True,
+    _parent_namespace_depth: 'int' = 2,
+    _types_namespace: 'dict[str, Any] | None' = None
+) -> 'bool | None'
+
+

Try to rebuild the pydantic-core schema for the model.

+

This may be necessary when one of the annotations is a ForwardRef which could not be resolved during +the initial attempt to build the schema, and automatic rebuilding fails.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
forceNoneWhether to force the rebuilding of the model schema, defaults to False.None
raise_errorsNoneWhether to raise errors, defaults to True.None
_parent_namespace_depthNoneThe depth level of the parent namespace, defaults to 2.None
_types_namespaceNoneThe types namespace, defaults to None.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneReturns None if the schema is already "complete" and rebuilding was not required.
If rebuilding was required, returns True if rebuilding was successful, otherwise False.
+

model_validate

+
def model_validate(
+    obj: 'Any',
+    *,
+    strict: 'bool | None' = None,
+    from_attributes: 'bool | None' = None,
+    context: 'dict[str, Any] | None' = None
+) -> 'Model'
+
+

Validate a pydantic model instance.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
objNoneThe object to validate.None
strictNoneWhether to raise an exception on invalid fields.None
from_attributesNoneWhether to extract data from object attributes.None
contextNoneAdditional context to pass to the validator.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneThe validated model instance.
+

Raises:

+ + + + + + + + + + + + + +
TypeDescription
ValidationErrorIf the object could not be validated.
+

model_validate_json

+
def model_validate_json(
+    json_data: 'str | bytes | bytearray',
+    *,
+    strict: 'bool | None' = None,
+    context: 'dict[str, Any] | None' = None
+) -> 'Model'
+
+

Usage docs: docs.pydantic.dev/2.5/concepts/json/#json-parsing

+

Validate the given JSON data against the Pydantic model.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
json_dataNoneThe JSON data to validate.None
strictNoneWhether to enforce types strictly.None
contextNoneExtra variables to pass to the validator.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneThe validated Pydantic model.
+

Raises:

+ + + + + + + + + + + + + +
TypeDescription
ValueErrorIf json_data is not a JSON string.
+

model_validate_strings

+
def model_validate_strings(
+    obj: 'Any',
+    *,
+    strict: 'bool | None' = None,
+    context: 'dict[str, Any] | None' = None
+) -> 'Model'
+
+

Validate the given object contains string data against the Pydantic model.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
objNoneThe object contains string data to validate.None
strictNoneWhether to enforce types strictly.None
contextNoneExtra variables to pass to the validator.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneThe validated Pydantic model.
+

parse_file

+
def parse_file(
+    path: 'str | Path',
+    *,
+    content_type: 'str | None' = None,
+    encoding: 'str' = 'utf8',
+    proto: 'DeprecatedParseProtocol | None' = None,
+    allow_pickle: 'bool' = False
+) -> 'Model'
+
+

parse_obj

+
def parse_obj(
+    obj: 'Any'
+) -> 'Model'
+
+

parse_raw

+
def parse_raw(
+    b: 'str | bytes',
+    *,
+    content_type: 'str | None' = None,
+    encoding: 'str' = 'utf8',
+    proto: 'DeprecatedParseProtocol | None' = None,
+    allow_pickle: 'bool' = False
+) -> 'Model'
+
+

schema

+
def schema(
+    by_alias: 'bool' = True,
+    ref_template: 'str' = '#/$defs/{model}'
+) -> 'typing.Dict[str, Any]'
+
+

schema_json

+
def schema_json(
+    *,
+    by_alias: 'bool' = True,
+    ref_template: 'str' = '#/$defs/{model}',
+    **dumps_kwargs: 'Any'
+) -> 'str'
+
+

settings_customise_sources

+
def settings_customise_sources(
+    settings_cls: 'type[BaseSettings]',
+    init_settings: 'PydanticBaseSettingsSource',
+    env_settings: 'PydanticBaseSettingsSource',
+    dotenv_settings: 'PydanticBaseSettingsSource',
+    file_secret_settings: 'PydanticBaseSettingsSource'
+) -> 'tuple[PydanticBaseSettingsSource, ...]'
+
+

Define the sources and their order for loading the settings values.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
settings_clsNoneThe Settings class.None
init_settingsNoneThe InitSettingsSource instance.None
env_settingsNoneThe EnvSettingsSource instance.None
dotenv_settingsNoneThe DotEnvSettingsSource instance.None
file_secret_settingsNoneThe SecretsSettingsSource instance.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneA tuple containing the sources and their order for loading the settings values.
+

update_forward_refs

+
def update_forward_refs(
+    **localns: 'Any'
+) -> 'None'
+
+

validate

+
def validate(
+    value: 'Any'
+) -> 'Model'
+
+

Instance variables

+
model_computed_fields
+
+

Get the computed fields of this model instance.

+
model_extra
+
+

Get extra fields set during validation.

+
model_fields_set
+
+

Returns the set of fields that have been explicitly set on this model instance.

+

Methods

+

copy

+
def copy(
+    self: 'Model',
+    *,
+    include: 'AbstractSetIntStr | MappingIntStrAny | None' = None,
+    exclude: 'AbstractSetIntStr | MappingIntStrAny | None' = None,
+    update: 'typing.Dict[str, Any] | None' = None,
+    deep: 'bool' = False
+) -> 'Model'
+
+

Returns a copy of the model.

+
+

Deprecated

+

This method is now deprecated; use model_copy instead.

+
+

If you need include or exclude, use:

+
data = self.model_dump(include=include, exclude=exclude, round_trip=True)
+data = {**data, **(update or {})}
+copied = self.model_validate(data)
+
+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
includeNoneOptional set or mapping
specifying which fields to include in the copied model.		None
excludeNoneOptional set or mapping
specifying which fields to exclude in the copied model.		None
updateNoneOptional dictionary of field-value pairs to override field values
in the copied model.		None
deepNoneIf True, the values of fields that are Pydantic models will be deep copied.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneA copy of the model with included, excluded and updated fields as specified.
+

dict

+
def dict(
+    self,
+    *,
+    include: 'IncEx' = None,
+    exclude: 'IncEx' = None,
+    by_alias: 'bool' = False,
+    exclude_unset: 'bool' = False,
+    exclude_defaults: 'bool' = False,
+    exclude_none: 'bool' = False
+) -> 'typing.Dict[str, Any]'
+
+

json

+
def json(
+    self,
+    *,
+    include: 'IncEx' = None,
+    exclude: 'IncEx' = None,
+    by_alias: 'bool' = False,
+    exclude_unset: 'bool' = False,
+    exclude_defaults: 'bool' = False,
+    exclude_none: 'bool' = False,
+    encoder: 'typing.Callable[[Any], Any] | None' = PydanticUndefined,
+    models_as_dict: 'bool' = PydanticUndefined,
+    **dumps_kwargs: 'Any'
+) -> 'str'
+
+

model_copy

+
def model_copy(
+    self: 'Model',
+    *,
+    update: 'dict[str, Any] | None' = None,
+    deep: 'bool' = False
+) -> 'Model'
+
+

Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#model_copy

+

Returns a copy of the model.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
updateNoneValues to change/add in the new model. Note: the data is not validated
before creating the new model. You should trust this data.		None
deepNoneSet to True to make a deep copy of the model.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneNew model instance.
+

model_dump

+
def model_dump(
+    self,
+    *,
+    mode: "Literal[('json', 'python')] | str" = 'python',
+    include: 'IncEx' = None,
+    exclude: 'IncEx' = None,
+    by_alias: 'bool' = False,
+    exclude_unset: 'bool' = False,
+    exclude_defaults: 'bool' = False,
+    exclude_none: 'bool' = False,
+    round_trip: 'bool' = False,
+    warnings: 'bool' = True
+) -> 'dict[str, Any]'
+
+

Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#modelmodel_dump

+

Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
modeNoneThe mode in which to_python should run.
If mode is 'json', the dictionary will only contain JSON serializable types.
If mode is 'python', the dictionary may contain any Python objects.		None
includeNoneA list of fields to include in the output.None
excludeNoneA list of fields to exclude from the output.None
by_aliasNoneWhether to use the field's alias in the dictionary key if defined.None
exclude_unsetNoneWhether to exclude fields that have not been explicitly set.None
exclude_defaultsNoneWhether to exclude fields that are set to their default value from the output.None
exclude_noneNoneWhether to exclude fields that have a value of None from the output.None
round_tripNoneWhether to enable serialization and deserialization round-trip support.None
warningsNoneWhether to log warnings when invalid fields are encountered.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneA dictionary representation of the model.
+

model_dump_json

+
def model_dump_json(
+    self,
+    *,
+    indent: 'int | None' = None,
+    include: 'IncEx' = None,
+    exclude: 'IncEx' = None,
+    by_alias: 'bool' = False,
+    exclude_unset: 'bool' = False,
+    exclude_defaults: 'bool' = False,
+    exclude_none: 'bool' = False,
+    round_trip: 'bool' = False,
+    warnings: 'bool' = True
+) -> 'str'
+
+

Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#modelmodel_dump_json

+

Generates a JSON representation of the model using Pydantic's to_json method.

+

Parameters:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeDescriptionDefault
indentNoneIndentation to use in the JSON output. If None is passed, the output will be compact.None
includeNoneField(s) to include in the JSON output. Can take either a string or set of strings.None
excludeNoneField(s) to exclude from the JSON output. Can take either a string or set of strings.None
by_aliasNoneWhether to serialize using field aliases.None
exclude_unsetNoneWhether to exclude fields that have not been explicitly set.None
exclude_defaultsNoneWhether to exclude fields that have the default value.None
exclude_noneNoneWhether to exclude fields that have a value of None.None
round_tripNoneWhether to use serialization/deserialization between JSON and class instance.None
warningsNoneWhether to show any warnings that occurred during serialization.None
+

Returns:

+ + + + + + + + + + + + + +
TypeDescription
NoneA JSON string representation of the model.
+

model_post_init

+
def model_post_init(
+    self,
+    _BaseModel__context: 'Any'
+) -> 'None'
+
+

Override this method to perform additional initialization after __init__ and model_construct.

+

This is useful if you want to do some validation that requires the entire model to be initialized.

+ + + + + + +
+
+ + +
+ +
+ + + +
+
+
+
+ + + + + + + + + + \ No newline at end of file diff --git a/1.0.0/api/titiler/pgstac/settings/settings.md b/1.0.0/api/titiler/pgstac/settings/settings.md new file mode 100644 index 00000000..00f334b0 --- /dev/null +++ b/1.0.0/api/titiler/pgstac/settings/settings.md @@ -0,0 +1,1895 @@ +# Module titiler.pgstac.settings + +API settings. + +## Functions + + +### RetrySettings + +```python3 +def RetrySettings( + +) -> titiler.pgstac.settings._RetrySettings +``` + +This function returns a cached instance of the RetrySettings object. + +## Classes + +### ApiSettings + +```python3 +class ApiSettings( + __pydantic_self__, + _case_sensitive: 'bool | None' = None, + _env_prefix: 'str | None' = None, + _env_file: 'DotenvType | None' = PosixPath('.'), + _env_file_encoding: 'str | None' = None, + _env_nested_delimiter: 'str | None' = None, + _secrets_dir: 'str | Path | None' = None, + **values: 'Any' +) +``` + +API settings + +#### Ancestors (in MRO) + +* pydantic_settings.main.BaseSettings +* pydantic.main.BaseModel + +#### Class variables + +```python3 +model_config +``` + +```python3 +model_fields +``` + +#### Static methods + + +#### construct + +```python3 +def construct( + _fields_set: 'set[str] | None' = None, + **values: 'Any' +) -> 'Model' +``` + + +#### from_orm + +```python3 +def from_orm( + obj: 'Any' +) -> 'Model' +``` + + +#### model_construct + +```python3 +def model_construct( + _fields_set: 'set[str] | None' = None, + **values: 'Any' +) -> 'Model' +``` + +Creates a new instance of the `Model` class with validated data. + +Creates a new model setting `__dict__` and `__pydantic_fields_set__` from trusted or pre-validated data. +Default values are respected, but no other validation is performed. +Behaves as if `Config.extra = 'allow'` was set since it adds all passed values + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| _fields_set | None | The set of field names accepted for the Model instance. | None | +| values | None | Trusted or pre-validated data dictionary. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | A new instance of the `Model` class with validated data. | + + +#### model_json_schema + +```python3 +def model_json_schema( + by_alias: 'bool' = True, + ref_template: 'str' = '#/$defs/{model}', + schema_generator: 'type[GenerateJsonSchema]' = , + mode: 'JsonSchemaMode' = 'validation' +) -> 'dict[str, Any]' +``` + +Generates a JSON schema for a model class. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| by_alias | None | Whether to use attribute aliases or not. | None | +| ref_template | None | The reference template. | None | +| schema_generator | None | To override the logic used to generate the JSON schema, as a subclass of
`GenerateJsonSchema` with your desired modifications | None | +| mode | None | The mode in which to generate the schema. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | The JSON schema for the given model class. | + + +#### model_parametrized_name + +```python3 +def model_parametrized_name( + params: 'tuple[type[Any], ...]' +) -> 'str' +``` + +Compute the class name for parametrizations of generic classes. + +This method can be overridden to achieve a custom naming scheme for generic BaseModels. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| params | None | Tuple of types of the class. Given a generic class
`Model` with 2 type variables and a concrete model `Model[str, int]`,
the value `(str, int)` would be passed to `params`. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | String representing the new class where `params` are passed to `cls` as type variables. | + +**Raises:** + +| Type | Description | +|---|---| +| TypeError | Raised when trying to generate concrete names for non-generic models. | + + +#### model_rebuild + +```python3 +def model_rebuild( + *, + force: 'bool' = False, + raise_errors: 'bool' = True, + _parent_namespace_depth: 'int' = 2, + _types_namespace: 'dict[str, Any] | None' = None +) -> 'bool | None' +``` + +Try to rebuild the pydantic-core schema for the model. + +This may be necessary when one of the annotations is a ForwardRef which could not be resolved during +the initial attempt to build the schema, and automatic rebuilding fails. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| force | None | Whether to force the rebuilding of the model schema, defaults to `False`. | None | +| raise_errors | None | Whether to raise errors, defaults to `True`. | None | +| _parent_namespace_depth | None | The depth level of the parent namespace, defaults to 2. | None | +| _types_namespace | None | The types namespace, defaults to `None`. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | Returns `None` if the schema is already "complete" and rebuilding was not required.
If rebuilding _was_ required, returns `True` if rebuilding was successful, otherwise `False`. | + + +#### model_validate + +```python3 +def model_validate( + obj: 'Any', + *, + strict: 'bool | None' = None, + from_attributes: 'bool | None' = None, + context: 'dict[str, Any] | None' = None +) -> 'Model' +``` + +Validate a pydantic model instance. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| obj | None | The object to validate. | None | +| strict | None | Whether to raise an exception on invalid fields. | None | +| from_attributes | None | Whether to extract data from object attributes. | None | +| context | None | Additional context to pass to the validator. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | The validated model instance. | + +**Raises:** + +| Type | Description | +|---|---| +| ValidationError | If the object could not be validated. | + + +#### model_validate_json + +```python3 +def model_validate_json( + json_data: 'str | bytes | bytearray', + *, + strict: 'bool | None' = None, + context: 'dict[str, Any] | None' = None +) -> 'Model' +``` + +Usage docs: https://docs.pydantic.dev/2.5/concepts/json/#json-parsing + +Validate the given JSON data against the Pydantic model. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| json_data | None | The JSON data to validate. | None | +| strict | None | Whether to enforce types strictly. | None | +| context | None | Extra variables to pass to the validator. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | The validated Pydantic model. | + +**Raises:** + +| Type | Description | +|---|---| +| ValueError | If `json_data` is not a JSON string. | + + +#### model_validate_strings + +```python3 +def model_validate_strings( + obj: 'Any', + *, + strict: 'bool | None' = None, + context: 'dict[str, Any] | None' = None +) -> 'Model' +``` + +Validate the given object contains string data against the Pydantic model. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| obj | None | The object contains string data to validate. | None | +| strict | None | Whether to enforce types strictly. | None | +| context | None | Extra variables to pass to the validator. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | The validated Pydantic model. | + + +#### parse_cors_origin + +```python3 +def parse_cors_origin( + v +) +``` + +Parse CORS origins. + + +#### parse_file + +```python3 +def parse_file( + path: 'str | Path', + *, + content_type: 'str | None' = None, + encoding: 'str' = 'utf8', + proto: 'DeprecatedParseProtocol | None' = None, + allow_pickle: 'bool' = False +) -> 'Model' +``` + + +#### parse_obj + +```python3 +def parse_obj( + obj: 'Any' +) -> 'Model' +``` + + +#### parse_raw + +```python3 +def parse_raw( + b: 'str | bytes', + *, + content_type: 'str | None' = None, + encoding: 'str' = 'utf8', + proto: 'DeprecatedParseProtocol | None' = None, + allow_pickle: 'bool' = False +) -> 'Model' +``` + + +#### schema + +```python3 +def schema( + by_alias: 'bool' = True, + ref_template: 'str' = '#/$defs/{model}' +) -> 'typing.Dict[str, Any]' +``` + + +#### schema_json + +```python3 +def schema_json( + *, + by_alias: 'bool' = True, + ref_template: 'str' = '#/$defs/{model}', + **dumps_kwargs: 'Any' +) -> 'str' +``` + + +#### settings_customise_sources + +```python3 +def settings_customise_sources( + settings_cls: 'type[BaseSettings]', + init_settings: 'PydanticBaseSettingsSource', + env_settings: 'PydanticBaseSettingsSource', + dotenv_settings: 'PydanticBaseSettingsSource', + file_secret_settings: 'PydanticBaseSettingsSource' +) -> 'tuple[PydanticBaseSettingsSource, ...]' +``` + +Define the sources and their order for loading the settings values. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| settings_cls | None | The Settings class. | None | +| init_settings | None | The `InitSettingsSource` instance. | None | +| env_settings | None | The `EnvSettingsSource` instance. | None | +| dotenv_settings | None | The `DotEnvSettingsSource` instance. | None | +| file_secret_settings | None | The `SecretsSettingsSource` instance. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | A tuple containing the sources and their order for loading the settings values. | + + +#### update_forward_refs + +```python3 +def update_forward_refs( + **localns: 'Any' +) -> 'None' +``` + + +#### validate + +```python3 +def validate( + value: 'Any' +) -> 'Model' +``` + +#### Instance variables + +```python3 +model_computed_fields +``` + +Get the computed fields of this model instance. + +```python3 +model_extra +``` + +Get extra fields set during validation. + +```python3 +model_fields_set +``` + +Returns the set of fields that have been explicitly set on this model instance. + +#### Methods + + +#### copy + +```python3 +def copy( + self: 'Model', + *, + include: 'AbstractSetIntStr | MappingIntStrAny | None' = None, + exclude: 'AbstractSetIntStr | MappingIntStrAny | None' = None, + update: 'typing.Dict[str, Any] | None' = None, + deep: 'bool' = False +) -> 'Model' +``` + +Returns a copy of the model. + +!!! warning "Deprecated" + This method is now deprecated; use `model_copy` instead. + +If you need `include` or `exclude`, use: + +```py +data = self.model_dump(include=include, exclude=exclude, round_trip=True) +data = {**data, **(update or {})} +copied = self.model_validate(data) +``` + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| include | None | Optional set or mapping
specifying which fields to include in the copied model. | None | +| exclude | None | Optional set or mapping
specifying which fields to exclude in the copied model. | None | +| update | None | Optional dictionary of field-value pairs to override field values
in the copied model. | None | +| deep | None | If True, the values of fields that are Pydantic models will be deep copied. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | A copy of the model with included, excluded and updated fields as specified. | + + +#### dict + +```python3 +def dict( + self, + *, + include: 'IncEx' = None, + exclude: 'IncEx' = None, + by_alias: 'bool' = False, + exclude_unset: 'bool' = False, + exclude_defaults: 'bool' = False, + exclude_none: 'bool' = False +) -> 'typing.Dict[str, Any]' +``` + + +#### json + +```python3 +def json( + self, + *, + include: 'IncEx' = None, + exclude: 'IncEx' = None, + by_alias: 'bool' = False, + exclude_unset: 'bool' = False, + exclude_defaults: 'bool' = False, + exclude_none: 'bool' = False, + encoder: 'typing.Callable[[Any], Any] | None' = PydanticUndefined, + models_as_dict: 'bool' = PydanticUndefined, + **dumps_kwargs: 'Any' +) -> 'str' +``` + + +#### model_copy + +```python3 +def model_copy( + self: 'Model', + *, + update: 'dict[str, Any] | None' = None, + deep: 'bool' = False +) -> 'Model' +``` + +Usage docs: https://docs.pydantic.dev/2.5/concepts/serialization/#model_copy + +Returns a copy of the model. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| update | None | Values to change/add in the new model. Note: the data is not validated
before creating the new model. You should trust this data. | None | +| deep | None | Set to `True` to make a deep copy of the model. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | New model instance. | + + +#### model_dump + +```python3 +def model_dump( + self, + *, + mode: "Literal[('json', 'python')] | str" = 'python', + include: 'IncEx' = None, + exclude: 'IncEx' = None, + by_alias: 'bool' = False, + exclude_unset: 'bool' = False, + exclude_defaults: 'bool' = False, + exclude_none: 'bool' = False, + round_trip: 'bool' = False, + warnings: 'bool' = True +) -> 'dict[str, Any]' +``` + +Usage docs: https://docs.pydantic.dev/2.5/concepts/serialization/#modelmodel_dump + +Generate a dictionary representation of the model, optionally specifying which fields to include or exclude. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| mode | None | The mode in which `to_python` should run.
If mode is 'json', the dictionary will only contain JSON serializable types.
If mode is 'python', the dictionary may contain any Python objects. | None | +| include | None | A list of fields to include in the output. | None | +| exclude | None | A list of fields to exclude from the output. | None | +| by_alias | None | Whether to use the field's alias in the dictionary key if defined. | None | +| exclude_unset | None | Whether to exclude fields that have not been explicitly set. | None | +| exclude_defaults | None | Whether to exclude fields that are set to their default value from the output. | None | +| exclude_none | None | Whether to exclude fields that have a value of `None` from the output. | None | +| round_trip | None | Whether to enable serialization and deserialization round-trip support. | None | +| warnings | None | Whether to log warnings when invalid fields are encountered. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | A dictionary representation of the model. | + + +#### model_dump_json + +```python3 +def model_dump_json( + self, + *, + indent: 'int | None' = None, + include: 'IncEx' = None, + exclude: 'IncEx' = None, + by_alias: 'bool' = False, + exclude_unset: 'bool' = False, + exclude_defaults: 'bool' = False, + exclude_none: 'bool' = False, + round_trip: 'bool' = False, + warnings: 'bool' = True +) -> 'str' +``` + +Usage docs: https://docs.pydantic.dev/2.5/concepts/serialization/#modelmodel_dump_json + +Generates a JSON representation of the model using Pydantic's `to_json` method. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| indent | None | Indentation to use in the JSON output. If None is passed, the output will be compact. | None | +| include | None | Field(s) to include in the JSON output. Can take either a string or set of strings. | None | +| exclude | None | Field(s) to exclude from the JSON output. Can take either a string or set of strings. | None | +| by_alias | None | Whether to serialize using field aliases. | None | +| exclude_unset | None | Whether to exclude fields that have not been explicitly set. | None | +| exclude_defaults | None | Whether to exclude fields that have the default value. | None | +| exclude_none | None | Whether to exclude fields that have a value of `None`. | None | +| round_trip | None | Whether to use serialization/deserialization between JSON and class instance. | None | +| warnings | None | Whether to show any warnings that occurred during serialization. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | A JSON string representation of the model. | + + +#### model_post_init + +```python3 +def model_post_init( + self, + _BaseModel__context: 'Any' +) -> 'None' +``` + +Override this method to perform additional initialization after `__init__` and `model_construct`. + +This is useful if you want to do some validation that requires the entire model to be initialized. + +### CacheSettings + +```python3 +class CacheSettings( + __pydantic_self__, + _case_sensitive: 'bool | None' = None, + _env_prefix: 'str | None' = None, + _env_file: 'DotenvType | None' = PosixPath('.'), + _env_file_encoding: 'str | None' = None, + _env_nested_delimiter: 'str | None' = None, + _secrets_dir: 'str | Path | None' = None, + **values: 'Any' +) +``` + +Cache settings + +#### Ancestors (in MRO) + +* pydantic_settings.main.BaseSettings +* pydantic.main.BaseModel + +#### Class variables + +```python3 +model_config +``` + +```python3 +model_fields +``` + +#### Static methods + + +#### construct + +```python3 +def construct( + _fields_set: 'set[str] | None' = None, + **values: 'Any' +) -> 'Model' +``` + + +#### from_orm + +```python3 +def from_orm( + obj: 'Any' +) -> 'Model' +``` + + +#### model_construct + +```python3 +def model_construct( + _fields_set: 'set[str] | None' = None, + **values: 'Any' +) -> 'Model' +``` + +Creates a new instance of the `Model` class with validated data. + +Creates a new model setting `__dict__` and `__pydantic_fields_set__` from trusted or pre-validated data. +Default values are respected, but no other validation is performed. +Behaves as if `Config.extra = 'allow'` was set since it adds all passed values + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| _fields_set | None | The set of field names accepted for the Model instance. | None | +| values | None | Trusted or pre-validated data dictionary. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | A new instance of the `Model` class with validated data. | + + +#### model_json_schema + +```python3 +def model_json_schema( + by_alias: 'bool' = True, + ref_template: 'str' = '#/$defs/{model}', + schema_generator: 'type[GenerateJsonSchema]' = , + mode: 'JsonSchemaMode' = 'validation' +) -> 'dict[str, Any]' +``` + +Generates a JSON schema for a model class. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| by_alias | None | Whether to use attribute aliases or not. | None | +| ref_template | None | The reference template. | None | +| schema_generator | None | To override the logic used to generate the JSON schema, as a subclass of
`GenerateJsonSchema` with your desired modifications | None | +| mode | None | The mode in which to generate the schema. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | The JSON schema for the given model class. | + + +#### model_parametrized_name + +```python3 +def model_parametrized_name( + params: 'tuple[type[Any], ...]' +) -> 'str' +``` + +Compute the class name for parametrizations of generic classes. + +This method can be overridden to achieve a custom naming scheme for generic BaseModels. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| params | None | Tuple of types of the class. Given a generic class
`Model` with 2 type variables and a concrete model `Model[str, int]`,
the value `(str, int)` would be passed to `params`. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | String representing the new class where `params` are passed to `cls` as type variables. | + +**Raises:** + +| Type | Description | +|---|---| +| TypeError | Raised when trying to generate concrete names for non-generic models. | + + +#### model_rebuild + +```python3 +def model_rebuild( + *, + force: 'bool' = False, + raise_errors: 'bool' = True, + _parent_namespace_depth: 'int' = 2, + _types_namespace: 'dict[str, Any] | None' = None +) -> 'bool | None' +``` + +Try to rebuild the pydantic-core schema for the model. + +This may be necessary when one of the annotations is a ForwardRef which could not be resolved during +the initial attempt to build the schema, and automatic rebuilding fails. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| force | None | Whether to force the rebuilding of the model schema, defaults to `False`. | None | +| raise_errors | None | Whether to raise errors, defaults to `True`. | None | +| _parent_namespace_depth | None | The depth level of the parent namespace, defaults to 2. | None | +| _types_namespace | None | The types namespace, defaults to `None`. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | Returns `None` if the schema is already "complete" and rebuilding was not required.
If rebuilding _was_ required, returns `True` if rebuilding was successful, otherwise `False`. | + + +#### model_validate + +```python3 +def model_validate( + obj: 'Any', + *, + strict: 'bool | None' = None, + from_attributes: 'bool | None' = None, + context: 'dict[str, Any] | None' = None +) -> 'Model' +``` + +Validate a pydantic model instance. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| obj | None | The object to validate. | None | +| strict | None | Whether to raise an exception on invalid fields. | None | +| from_attributes | None | Whether to extract data from object attributes. | None | +| context | None | Additional context to pass to the validator. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | The validated model instance. | + +**Raises:** + +| Type | Description | +|---|---| +| ValidationError | If the object could not be validated. | + + +#### model_validate_json + +```python3 +def model_validate_json( + json_data: 'str | bytes | bytearray', + *, + strict: 'bool | None' = None, + context: 'dict[str, Any] | None' = None +) -> 'Model' +``` + +Usage docs: https://docs.pydantic.dev/2.5/concepts/json/#json-parsing + +Validate the given JSON data against the Pydantic model. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| json_data | None | The JSON data to validate. | None | +| strict | None | Whether to enforce types strictly. | None | +| context | None | Extra variables to pass to the validator. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | The validated Pydantic model. | + +**Raises:** + +| Type | Description | +|---|---| +| ValueError | If `json_data` is not a JSON string. | + + +#### model_validate_strings + +```python3 +def model_validate_strings( + obj: 'Any', + *, + strict: 'bool | None' = None, + context: 'dict[str, Any] | None' = None +) -> 'Model' +``` + +Validate the given object contains string data against the Pydantic model. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| obj | None | The object contains string data to validate. | None | +| strict | None | Whether to enforce types strictly. | None | +| context | None | Extra variables to pass to the validator. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | The validated Pydantic model. | + + +#### parse_file + +```python3 +def parse_file( + path: 'str | Path', + *, + content_type: 'str | None' = None, + encoding: 'str' = 'utf8', + proto: 'DeprecatedParseProtocol | None' = None, + allow_pickle: 'bool' = False +) -> 'Model' +``` + + +#### parse_obj + +```python3 +def parse_obj( + obj: 'Any' +) -> 'Model' +``` + + +#### parse_raw + +```python3 +def parse_raw( + b: 'str | bytes', + *, + content_type: 'str | None' = None, + encoding: 'str' = 'utf8', + proto: 'DeprecatedParseProtocol | None' = None, + allow_pickle: 'bool' = False +) -> 'Model' +``` + + +#### schema + +```python3 +def schema( + by_alias: 'bool' = True, + ref_template: 'str' = '#/$defs/{model}' +) -> 'typing.Dict[str, Any]' +``` + + +#### schema_json + +```python3 +def schema_json( + *, + by_alias: 'bool' = True, + ref_template: 'str' = '#/$defs/{model}', + **dumps_kwargs: 'Any' +) -> 'str' +``` + + +#### settings_customise_sources + +```python3 +def settings_customise_sources( + settings_cls: 'type[BaseSettings]', + init_settings: 'PydanticBaseSettingsSource', + env_settings: 'PydanticBaseSettingsSource', + dotenv_settings: 'PydanticBaseSettingsSource', + file_secret_settings: 'PydanticBaseSettingsSource' +) -> 'tuple[PydanticBaseSettingsSource, ...]' +``` + +Define the sources and their order for loading the settings values. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| settings_cls | None | The Settings class. | None | +| init_settings | None | The `InitSettingsSource` instance. | None | +| env_settings | None | The `EnvSettingsSource` instance. | None | +| dotenv_settings | None | The `DotEnvSettingsSource` instance. | None | +| file_secret_settings | None | The `SecretsSettingsSource` instance. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | A tuple containing the sources and their order for loading the settings values. | + + +#### update_forward_refs + +```python3 +def update_forward_refs( + **localns: 'Any' +) -> 'None' +``` + + +#### validate + +```python3 +def validate( + value: 'Any' +) -> 'Model' +``` + +#### Instance variables + +```python3 +model_computed_fields +``` + +Get the computed fields of this model instance. + +```python3 +model_extra +``` + +Get extra fields set during validation. + +```python3 +model_fields_set +``` + +Returns the set of fields that have been explicitly set on this model instance. + +#### Methods + + +#### check_enable + +```python3 +def check_enable( + self +) +``` + +Check if cache is disabled. + + +#### copy + +```python3 +def copy( + self: 'Model', + *, + include: 'AbstractSetIntStr | MappingIntStrAny | None' = None, + exclude: 'AbstractSetIntStr | MappingIntStrAny | None' = None, + update: 'typing.Dict[str, Any] | None' = None, + deep: 'bool' = False +) -> 'Model' +``` + +Returns a copy of the model. + +!!! warning "Deprecated" + This method is now deprecated; use `model_copy` instead. + +If you need `include` or `exclude`, use: + +```py +data = self.model_dump(include=include, exclude=exclude, round_trip=True) +data = {**data, **(update or {})} +copied = self.model_validate(data) +``` + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| include | None | Optional set or mapping
specifying which fields to include in the copied model. | None | +| exclude | None | Optional set or mapping
specifying which fields to exclude in the copied model. | None | +| update | None | Optional dictionary of field-value pairs to override field values
in the copied model. | None | +| deep | None | If True, the values of fields that are Pydantic models will be deep copied. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | A copy of the model with included, excluded and updated fields as specified. | + + +#### dict + +```python3 +def dict( + self, + *, + include: 'IncEx' = None, + exclude: 'IncEx' = None, + by_alias: 'bool' = False, + exclude_unset: 'bool' = False, + exclude_defaults: 'bool' = False, + exclude_none: 'bool' = False +) -> 'typing.Dict[str, Any]' +``` + + +#### json + +```python3 +def json( + self, + *, + include: 'IncEx' = None, + exclude: 'IncEx' = None, + by_alias: 'bool' = False, + exclude_unset: 'bool' = False, + exclude_defaults: 'bool' = False, + exclude_none: 'bool' = False, + encoder: 'typing.Callable[[Any], Any] | None' = PydanticUndefined, + models_as_dict: 'bool' = PydanticUndefined, + **dumps_kwargs: 'Any' +) -> 'str' +``` + + +#### model_copy + +```python3 +def model_copy( + self: 'Model', + *, + update: 'dict[str, Any] | None' = None, + deep: 'bool' = False +) -> 'Model' +``` + +Usage docs: https://docs.pydantic.dev/2.5/concepts/serialization/#model_copy + +Returns a copy of the model. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| update | None | Values to change/add in the new model. Note: the data is not validated
before creating the new model. You should trust this data. | None | +| deep | None | Set to `True` to make a deep copy of the model. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | New model instance. | + + +#### model_dump + +```python3 +def model_dump( + self, + *, + mode: "Literal[('json', 'python')] | str" = 'python', + include: 'IncEx' = None, + exclude: 'IncEx' = None, + by_alias: 'bool' = False, + exclude_unset: 'bool' = False, + exclude_defaults: 'bool' = False, + exclude_none: 'bool' = False, + round_trip: 'bool' = False, + warnings: 'bool' = True +) -> 'dict[str, Any]' +``` + +Usage docs: https://docs.pydantic.dev/2.5/concepts/serialization/#modelmodel_dump + +Generate a dictionary representation of the model, optionally specifying which fields to include or exclude. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| mode | None | The mode in which `to_python` should run.
If mode is 'json', the dictionary will only contain JSON serializable types.
If mode is 'python', the dictionary may contain any Python objects. | None | +| include | None | A list of fields to include in the output. | None | +| exclude | None | A list of fields to exclude from the output. | None | +| by_alias | None | Whether to use the field's alias in the dictionary key if defined. | None | +| exclude_unset | None | Whether to exclude fields that have not been explicitly set. | None | +| exclude_defaults | None | Whether to exclude fields that are set to their default value from the output. | None | +| exclude_none | None | Whether to exclude fields that have a value of `None` from the output. | None | +| round_trip | None | Whether to enable serialization and deserialization round-trip support. | None | +| warnings | None | Whether to log warnings when invalid fields are encountered. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | A dictionary representation of the model. | + + +#### model_dump_json + +```python3 +def model_dump_json( + self, + *, + indent: 'int | None' = None, + include: 'IncEx' = None, + exclude: 'IncEx' = None, + by_alias: 'bool' = False, + exclude_unset: 'bool' = False, + exclude_defaults: 'bool' = False, + exclude_none: 'bool' = False, + round_trip: 'bool' = False, + warnings: 'bool' = True +) -> 'str' +``` + +Usage docs: https://docs.pydantic.dev/2.5/concepts/serialization/#modelmodel_dump_json + +Generates a JSON representation of the model using Pydantic's `to_json` method. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| indent | None | Indentation to use in the JSON output. If None is passed, the output will be compact. | None | +| include | None | Field(s) to include in the JSON output. Can take either a string or set of strings. | None | +| exclude | None | Field(s) to exclude from the JSON output. Can take either a string or set of strings. | None | +| by_alias | None | Whether to serialize using field aliases. | None | +| exclude_unset | None | Whether to exclude fields that have not been explicitly set. | None | +| exclude_defaults | None | Whether to exclude fields that have the default value. | None | +| exclude_none | None | Whether to exclude fields that have a value of `None`. | None | +| round_trip | None | Whether to use serialization/deserialization between JSON and class instance. | None | +| warnings | None | Whether to show any warnings that occurred during serialization. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | A JSON string representation of the model. | + + +#### model_post_init + +```python3 +def model_post_init( + self, + _BaseModel__context: 'Any' +) -> 'None' +``` + +Override this method to perform additional initialization after `__init__` and `model_construct`. + +This is useful if you want to do some validation that requires the entire model to be initialized. + +### PostgresSettings + +```python3 +class PostgresSettings( + __pydantic_self__, + _case_sensitive: 'bool | None' = None, + _env_prefix: 'str | None' = None, + _env_file: 'DotenvType | None' = PosixPath('.'), + _env_file_encoding: 'str | None' = None, + _env_nested_delimiter: 'str | None' = None, + _secrets_dir: 'str | Path | None' = None, + **values: 'Any' +) +``` + +Postgres-specific API settings. + +#### Attributes + +| Name | Type | Description | Default | +|---|---|---|---| +| postgres_user | None | postgres username. | None | +| postgres_pass | None | postgres password. | None | +| postgres_host | None | database hostname. | None | +| postgres_port | None | database port. | None | +| postgres_dbname | None | database name. | None | + +#### Ancestors (in MRO) + +* pydantic_settings.main.BaseSettings +* pydantic.main.BaseModel + +#### Class variables + +```python3 +model_config +``` + +```python3 +model_fields +``` + +#### Static methods + + +#### assemble_db_connection + +```python3 +def assemble_db_connection( + v: Union[str, NoneType], + info: pydantic_core.core_schema.ValidationInfo +) -> Any +``` + +Validate database config. + + +#### construct + +```python3 +def construct( + _fields_set: 'set[str] | None' = None, + **values: 'Any' +) -> 'Model' +``` + + +#### from_orm + +```python3 +def from_orm( + obj: 'Any' +) -> 'Model' +``` + + +#### model_construct + +```python3 +def model_construct( + _fields_set: 'set[str] | None' = None, + **values: 'Any' +) -> 'Model' +``` + +Creates a new instance of the `Model` class with validated data. + +Creates a new model setting `__dict__` and `__pydantic_fields_set__` from trusted or pre-validated data. +Default values are respected, but no other validation is performed. +Behaves as if `Config.extra = 'allow'` was set since it adds all passed values + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| _fields_set | None | The set of field names accepted for the Model instance. | None | +| values | None | Trusted or pre-validated data dictionary. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | A new instance of the `Model` class with validated data. | + + +#### model_json_schema + +```python3 +def model_json_schema( + by_alias: 'bool' = True, + ref_template: 'str' = '#/$defs/{model}', + schema_generator: 'type[GenerateJsonSchema]' = , + mode: 'JsonSchemaMode' = 'validation' +) -> 'dict[str, Any]' +``` + +Generates a JSON schema for a model class. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| by_alias | None | Whether to use attribute aliases or not. | None | +| ref_template | None | The reference template. | None | +| schema_generator | None | To override the logic used to generate the JSON schema, as a subclass of
`GenerateJsonSchema` with your desired modifications | None | +| mode | None | The mode in which to generate the schema. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | The JSON schema for the given model class. | + + +#### model_parametrized_name + +```python3 +def model_parametrized_name( + params: 'tuple[type[Any], ...]' +) -> 'str' +``` + +Compute the class name for parametrizations of generic classes. + +This method can be overridden to achieve a custom naming scheme for generic BaseModels. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| params | None | Tuple of types of the class. Given a generic class
`Model` with 2 type variables and a concrete model `Model[str, int]`,
the value `(str, int)` would be passed to `params`. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | String representing the new class where `params` are passed to `cls` as type variables. | + +**Raises:** + +| Type | Description | +|---|---| +| TypeError | Raised when trying to generate concrete names for non-generic models. | + + +#### model_rebuild + +```python3 +def model_rebuild( + *, + force: 'bool' = False, + raise_errors: 'bool' = True, + _parent_namespace_depth: 'int' = 2, + _types_namespace: 'dict[str, Any] | None' = None +) -> 'bool | None' +``` + +Try to rebuild the pydantic-core schema for the model. + +This may be necessary when one of the annotations is a ForwardRef which could not be resolved during +the initial attempt to build the schema, and automatic rebuilding fails. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| force | None | Whether to force the rebuilding of the model schema, defaults to `False`. | None | +| raise_errors | None | Whether to raise errors, defaults to `True`. | None | +| _parent_namespace_depth | None | The depth level of the parent namespace, defaults to 2. | None | +| _types_namespace | None | The types namespace, defaults to `None`. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | Returns `None` if the schema is already "complete" and rebuilding was not required.
If rebuilding _was_ required, returns `True` if rebuilding was successful, otherwise `False`. | + + +#### model_validate + +```python3 +def model_validate( + obj: 'Any', + *, + strict: 'bool | None' = None, + from_attributes: 'bool | None' = None, + context: 'dict[str, Any] | None' = None +) -> 'Model' +``` + +Validate a pydantic model instance. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| obj | None | The object to validate. | None | +| strict | None | Whether to raise an exception on invalid fields. | None | +| from_attributes | None | Whether to extract data from object attributes. | None | +| context | None | Additional context to pass to the validator. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | The validated model instance. | + +**Raises:** + +| Type | Description | +|---|---| +| ValidationError | If the object could not be validated. | + + +#### model_validate_json + +```python3 +def model_validate_json( + json_data: 'str | bytes | bytearray', + *, + strict: 'bool | None' = None, + context: 'dict[str, Any] | None' = None +) -> 'Model' +``` + +Usage docs: https://docs.pydantic.dev/2.5/concepts/json/#json-parsing + +Validate the given JSON data against the Pydantic model. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| json_data | None | The JSON data to validate. | None | +| strict | None | Whether to enforce types strictly. | None | +| context | None | Extra variables to pass to the validator. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | The validated Pydantic model. | + +**Raises:** + +| Type | Description | +|---|---| +| ValueError | If `json_data` is not a JSON string. | + + +#### model_validate_strings + +```python3 +def model_validate_strings( + obj: 'Any', + *, + strict: 'bool | None' = None, + context: 'dict[str, Any] | None' = None +) -> 'Model' +``` + +Validate the given object contains string data against the Pydantic model. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| obj | None | The object contains string data to validate. | None | +| strict | None | Whether to enforce types strictly. | None | +| context | None | Extra variables to pass to the validator. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | The validated Pydantic model. | + + +#### parse_file + +```python3 +def parse_file( + path: 'str | Path', + *, + content_type: 'str | None' = None, + encoding: 'str' = 'utf8', + proto: 'DeprecatedParseProtocol | None' = None, + allow_pickle: 'bool' = False +) -> 'Model' +``` + + +#### parse_obj + +```python3 +def parse_obj( + obj: 'Any' +) -> 'Model' +``` + + +#### parse_raw + +```python3 +def parse_raw( + b: 'str | bytes', + *, + content_type: 'str | None' = None, + encoding: 'str' = 'utf8', + proto: 'DeprecatedParseProtocol | None' = None, + allow_pickle: 'bool' = False +) -> 'Model' +``` + + +#### schema + +```python3 +def schema( + by_alias: 'bool' = True, + ref_template: 'str' = '#/$defs/{model}' +) -> 'typing.Dict[str, Any]' +``` + + +#### schema_json + +```python3 +def schema_json( + *, + by_alias: 'bool' = True, + ref_template: 'str' = '#/$defs/{model}', + **dumps_kwargs: 'Any' +) -> 'str' +``` + + +#### settings_customise_sources + +```python3 +def settings_customise_sources( + settings_cls: 'type[BaseSettings]', + init_settings: 'PydanticBaseSettingsSource', + env_settings: 'PydanticBaseSettingsSource', + dotenv_settings: 'PydanticBaseSettingsSource', + file_secret_settings: 'PydanticBaseSettingsSource' +) -> 'tuple[PydanticBaseSettingsSource, ...]' +``` + +Define the sources and their order for loading the settings values. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| settings_cls | None | The Settings class. | None | +| init_settings | None | The `InitSettingsSource` instance. | None | +| env_settings | None | The `EnvSettingsSource` instance. | None | +| dotenv_settings | None | The `DotEnvSettingsSource` instance. | None | +| file_secret_settings | None | The `SecretsSettingsSource` instance. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | A tuple containing the sources and their order for loading the settings values. | + + +#### update_forward_refs + +```python3 +def update_forward_refs( + **localns: 'Any' +) -> 'None' +``` + + +#### validate + +```python3 +def validate( + value: 'Any' +) -> 'Model' +``` + +#### Instance variables + +```python3 +model_computed_fields +``` + +Get the computed fields of this model instance. + +```python3 +model_extra +``` + +Get extra fields set during validation. + +```python3 +model_fields_set +``` + +Returns the set of fields that have been explicitly set on this model instance. + +#### Methods + + +#### copy + +```python3 +def copy( + self: 'Model', + *, + include: 'AbstractSetIntStr | MappingIntStrAny | None' = None, + exclude: 'AbstractSetIntStr | MappingIntStrAny | None' = None, + update: 'typing.Dict[str, Any] | None' = None, + deep: 'bool' = False +) -> 'Model' +``` + +Returns a copy of the model. + +!!! warning "Deprecated" + This method is now deprecated; use `model_copy` instead. + +If you need `include` or `exclude`, use: + +```py +data = self.model_dump(include=include, exclude=exclude, round_trip=True) +data = {**data, **(update or {})} +copied = self.model_validate(data) +``` + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| include | None | Optional set or mapping
specifying which fields to include in the copied model. | None | +| exclude | None | Optional set or mapping
specifying which fields to exclude in the copied model. | None | +| update | None | Optional dictionary of field-value pairs to override field values
in the copied model. | None | +| deep | None | If True, the values of fields that are Pydantic models will be deep copied. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | A copy of the model with included, excluded and updated fields as specified. | + + +#### dict + +```python3 +def dict( + self, + *, + include: 'IncEx' = None, + exclude: 'IncEx' = None, + by_alias: 'bool' = False, + exclude_unset: 'bool' = False, + exclude_defaults: 'bool' = False, + exclude_none: 'bool' = False +) -> 'typing.Dict[str, Any]' +``` + + +#### json + +```python3 +def json( + self, + *, + include: 'IncEx' = None, + exclude: 'IncEx' = None, + by_alias: 'bool' = False, + exclude_unset: 'bool' = False, + exclude_defaults: 'bool' = False, + exclude_none: 'bool' = False, + encoder: 'typing.Callable[[Any], Any] | None' = PydanticUndefined, + models_as_dict: 'bool' = PydanticUndefined, + **dumps_kwargs: 'Any' +) -> 'str' +``` + + +#### model_copy + +```python3 +def model_copy( + self: 'Model', + *, + update: 'dict[str, Any] | None' = None, + deep: 'bool' = False +) -> 'Model' +``` + +Usage docs: https://docs.pydantic.dev/2.5/concepts/serialization/#model_copy + +Returns a copy of the model. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| update | None | Values to change/add in the new model. Note: the data is not validated
before creating the new model. You should trust this data. | None | +| deep | None | Set to `True` to make a deep copy of the model. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | New model instance. | + + +#### model_dump + +```python3 +def model_dump( + self, + *, + mode: "Literal[('json', 'python')] | str" = 'python', + include: 'IncEx' = None, + exclude: 'IncEx' = None, + by_alias: 'bool' = False, + exclude_unset: 'bool' = False, + exclude_defaults: 'bool' = False, + exclude_none: 'bool' = False, + round_trip: 'bool' = False, + warnings: 'bool' = True +) -> 'dict[str, Any]' +``` + +Usage docs: https://docs.pydantic.dev/2.5/concepts/serialization/#modelmodel_dump + +Generate a dictionary representation of the model, optionally specifying which fields to include or exclude. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| mode | None | The mode in which `to_python` should run.
If mode is 'json', the dictionary will only contain JSON serializable types.
If mode is 'python', the dictionary may contain any Python objects. | None | +| include | None | A list of fields to include in the output. | None | +| exclude | None | A list of fields to exclude from the output. | None | +| by_alias | None | Whether to use the field's alias in the dictionary key if defined. | None | +| exclude_unset | None | Whether to exclude fields that have not been explicitly set. | None | +| exclude_defaults | None | Whether to exclude fields that are set to their default value from the output. | None | +| exclude_none | None | Whether to exclude fields that have a value of `None` from the output. | None | +| round_trip | None | Whether to enable serialization and deserialization round-trip support. | None | +| warnings | None | Whether to log warnings when invalid fields are encountered. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | A dictionary representation of the model. | + + +#### model_dump_json + +```python3 +def model_dump_json( + self, + *, + indent: 'int | None' = None, + include: 'IncEx' = None, + exclude: 'IncEx' = None, + by_alias: 'bool' = False, + exclude_unset: 'bool' = False, + exclude_defaults: 'bool' = False, + exclude_none: 'bool' = False, + round_trip: 'bool' = False, + warnings: 'bool' = True +) -> 'str' +``` + +Usage docs: https://docs.pydantic.dev/2.5/concepts/serialization/#modelmodel_dump_json + +Generates a JSON representation of the model using Pydantic's `to_json` method. + +**Parameters:** + +| Name | Type | Description | Default | +|---|---|---|---| +| indent | None | Indentation to use in the JSON output. If None is passed, the output will be compact. | None | +| include | None | Field(s) to include in the JSON output. Can take either a string or set of strings. | None | +| exclude | None | Field(s) to exclude from the JSON output. Can take either a string or set of strings. | None | +| by_alias | None | Whether to serialize using field aliases. | None | +| exclude_unset | None | Whether to exclude fields that have not been explicitly set. | None | +| exclude_defaults | None | Whether to exclude fields that have the default value. | None | +| exclude_none | None | Whether to exclude fields that have a value of `None`. | None | +| round_trip | None | Whether to use serialization/deserialization between JSON and class instance. | None | +| warnings | None | Whether to show any warnings that occurred during serialization. | None | + +**Returns:** + +| Type | Description | +|---|---| +| None | A JSON string representation of the model. | + + +#### model_post_init + +```python3 +def model_post_init( + self, + _BaseModel__context: 'Any' +) -> 'None' +``` + +Override this method to perform additional initialization after `__init__` and `model_construct`. + +This is useful if you want to do some validation that requires the entire model to be initialized. \ No newline at end of file diff --git a/1.0.0/api/titiler/pgstac/utils/index.html b/1.0.0/api/titiler/pgstac/utils/index.html new file mode 100644 index 00000000..a9848a94 --- /dev/null +++ b/1.0.0/api/titiler/pgstac/utils/index.html @@ -0,0 +1,1060 @@ + + + + + + + + + + + + + + + + + + + + utils - TiTiler.PgSTAC + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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Module titiler.pgstac.utils

+

titiler.pgstac utilities.

+

Functions

+

retry

+
def retry(
+    tries: int,
+    exceptions: Union[Type[Exception], Sequence[Type[Exception]]] = <class 'Exception'>,
+    delay: float = 0.0
+)
+
+

Retry Decorator

+ + + + + + +
+
+ + +
+ +
+ + + +
+
+
+
+ + + + + + + + + + \ No newline at end of file diff --git a/1.0.0/api/titiler/pgstac/utils/utils.md b/1.0.0/api/titiler/pgstac/utils/utils.md new file mode 100644 index 00000000..88016256 --- /dev/null +++ b/1.0.0/api/titiler/pgstac/utils/utils.md @@ -0,0 +1,18 @@ +# Module titiler.pgstac.utils + +titiler.pgstac utilities. + +## Functions + + +### retry + +```python3 +def retry( + tries: int, + exceptions: Union[Type[Exception], Sequence[Type[Exception]]] = , + delay: float = 0.0 +) +``` + +Retry Decorator \ No newline at end of file diff --git a/1.0.0/assets/images/favicon.png b/1.0.0/assets/images/favicon.png new file mode 100644 index 0000000000000000000000000000000000000000..1cf13b9f9d978896599290a74f77d5dbe7d1655c GIT binary patch literal 1870 zcmV-U2eJ5xP)Gc)JR9QMau)O=X#!i9;T z37kk-upj^(fsR36MHs_+1RCI)NNu9}lD0S{B^g8PN?Ww(5|~L#Ng*g{WsqleV}|#l zz8@ri&cTzw_h33bHI+12+kK6WN$h#n5cD8OQt`5kw6p~9H3()bUQ8OS4Q4HTQ=1Ol z_JAocz`fLbT2^{`8n~UAo=#AUOf=SOq4pYkt;XbC&f#7lb$*7=$na!mWCQ`dBQsO0 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Qe=bi(_e("header"),{viewport$:we}),br=tt.pipe(m(()=>_e("main")),S(e=>yi(e,{viewport$:we,header$:Qe})),X(1)),Ws=A(...te("consent").map(e=>Yo(e,{target$:gt})),...te("dialog").map(e=>hi(e,{alert$:an})),...te("header").map(e=>vi(e,{viewport$:we,header$:Qe,main$:br})),...te("palette").map(e=>xi(e)),...te("search").map(e=>Hi(e,{index$:Bi,keyboard$:on})),...te("source").map(e=>Fi(e))),Vs=P(()=>A(...te("announce").map(e=>Qo(e)),...te("content").map(e=>di(e,{viewport$:we,target$:gt,print$:Qi})),...te("content").map(e=>Z("search.highlight")?Pi(e,{index$:Bi,location$:vr}):R),...te("header-title").map(e=>gi(e,{viewport$:we,header$:Qe})),...te("sidebar").map(e=>e.getAttribute("data-md-type")==="navigation"?Qr(Ki,()=>nn(e,{viewport$:we,header$:Qe,main$:br})):Qr(gr,()=>nn(e,{viewport$:we,header$:Qe,main$:br}))),...te("tabs").map(e=>Ui(e,{viewport$:we,header$:Qe})),...te("toc").map(e=>Di(e,{viewport$:we,header$:Qe,target$:gt})),...te("top").map(e=>Wi(e,{viewport$:we,header$:Qe,main$:br,target$:gt})))),Gi=tt.pipe(S(()=>Vs),et(Ws),X(1));Gi.subscribe();window.document$=tt;window.location$=vr;window.target$=gt;window.keyboard$=on;window.viewport$=we;window.tablet$=gr;window.screen$=Ki;window.print$=Qi;window.alert$=an;window.component$=Gi;})(); 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"node_modules/rxjs/src/internal/operators/mapTo.ts", "node_modules/rxjs/src/internal/operators/delayWhen.ts", "node_modules/rxjs/src/internal/operators/delay.ts", "node_modules/rxjs/src/internal/operators/distinctUntilChanged.ts", "node_modules/rxjs/src/internal/operators/distinctUntilKeyChanged.ts", "node_modules/rxjs/src/internal/operators/endWith.ts", "node_modules/rxjs/src/internal/operators/finalize.ts", "node_modules/rxjs/src/internal/operators/takeLast.ts", "node_modules/rxjs/src/internal/operators/merge.ts", "node_modules/rxjs/src/internal/operators/mergeWith.ts", "node_modules/rxjs/src/internal/operators/repeat.ts", "node_modules/rxjs/src/internal/operators/sample.ts", "node_modules/rxjs/src/internal/operators/scan.ts", "node_modules/rxjs/src/internal/operators/share.ts", "node_modules/rxjs/src/internal/operators/shareReplay.ts", "node_modules/rxjs/src/internal/operators/skip.ts", "node_modules/rxjs/src/internal/operators/skipUntil.ts", 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"src/assets/javascripts/components/announce/index.ts", "src/assets/javascripts/components/consent/index.ts", "src/assets/javascripts/components/content/code/_/index.ts", "src/assets/javascripts/templates/tooltip/index.tsx", "src/assets/javascripts/templates/annotation/index.tsx", "src/assets/javascripts/templates/clipboard/index.tsx", "src/assets/javascripts/templates/search/index.tsx", "src/assets/javascripts/templates/source/index.tsx", "src/assets/javascripts/templates/tabbed/index.tsx", "src/assets/javascripts/templates/table/index.tsx", "src/assets/javascripts/templates/version/index.tsx", "src/assets/javascripts/components/content/annotation/_/index.ts", "src/assets/javascripts/components/content/annotation/list/index.ts", "src/assets/javascripts/components/content/code/mermaid/index.ts", "src/assets/javascripts/components/content/details/index.ts", "src/assets/javascripts/components/content/table/index.ts", "src/assets/javascripts/components/content/tabs/index.ts", "src/assets/javascripts/components/content/_/index.ts", "src/assets/javascripts/components/dialog/index.ts", "src/assets/javascripts/components/header/_/index.ts", "src/assets/javascripts/components/header/title/index.ts", "src/assets/javascripts/components/main/index.ts", "src/assets/javascripts/components/palette/index.ts", "src/assets/javascripts/integrations/clipboard/index.ts", "src/assets/javascripts/integrations/sitemap/index.ts", "src/assets/javascripts/integrations/instant/index.ts", "src/assets/javascripts/integrations/search/document/index.ts", "src/assets/javascripts/integrations/search/highlighter/index.ts", "src/assets/javascripts/integrations/search/query/transform/index.ts", "src/assets/javascripts/integrations/search/worker/message/index.ts", "src/assets/javascripts/integrations/search/worker/_/index.ts", "src/assets/javascripts/integrations/version/index.ts", "src/assets/javascripts/components/search/query/index.ts", "src/assets/javascripts/components/search/result/index.ts", "src/assets/javascripts/components/search/share/index.ts", "src/assets/javascripts/components/search/suggest/index.ts", "src/assets/javascripts/components/search/_/index.ts", "src/assets/javascripts/components/search/highlight/index.ts", "src/assets/javascripts/components/sidebar/index.ts", "src/assets/javascripts/components/source/facts/github/index.ts", "src/assets/javascripts/components/source/facts/gitlab/index.ts", "src/assets/javascripts/components/source/facts/_/index.ts", "src/assets/javascripts/components/source/_/index.ts", "src/assets/javascripts/components/tabs/index.ts", "src/assets/javascripts/components/toc/index.ts", "src/assets/javascripts/components/top/index.ts", "src/assets/javascripts/patches/indeterminate/index.ts", "src/assets/javascripts/patches/scrollfix/index.ts", "src/assets/javascripts/patches/scrolllock/index.ts", "src/assets/javascripts/polyfills/index.ts"], + "sourceRoot": "../../../..", + "sourcesContent": ["(function (global, factory) {\n typeof exports === 'object' && typeof module !== 'undefined' ? factory() :\n typeof define === 'function' && define.amd ? define(factory) :\n (factory());\n}(this, (function () { 'use strict';\n\n /**\n * Applies the :focus-visible polyfill at the given scope.\n * A scope in this case is either the top-level Document or a Shadow Root.\n *\n * @param {(Document|ShadowRoot)} scope\n * @see https://github.com/WICG/focus-visible\n */\n function applyFocusVisiblePolyfill(scope) {\n var hadKeyboardEvent = true;\n var hadFocusVisibleRecently = false;\n var hadFocusVisibleRecentlyTimeout = null;\n\n var inputTypesAllowlist = {\n text: true,\n search: true,\n url: true,\n tel: true,\n email: true,\n password: true,\n number: true,\n date: true,\n month: true,\n week: true,\n time: true,\n datetime: true,\n 'datetime-local': true\n };\n\n /**\n * Helper function for legacy browsers and iframes which sometimes focus\n * elements like document, body, and non-interactive SVG.\n * @param {Element} el\n */\n function isValidFocusTarget(el) {\n if (\n el &&\n el !== document &&\n el.nodeName !== 'HTML' &&\n el.nodeName !== 'BODY' &&\n 'classList' in el &&\n 'contains' in el.classList\n ) {\n return true;\n }\n return false;\n }\n\n /**\n * Computes whether the given element should automatically trigger the\n * `focus-visible` class being added, i.e. whether it should always match\n * `:focus-visible` when focused.\n * @param {Element} el\n * @return {boolean}\n */\n function focusTriggersKeyboardModality(el) {\n var type = el.type;\n var tagName = el.tagName;\n\n if (tagName === 'INPUT' && inputTypesAllowlist[type] && !el.readOnly) {\n return true;\n }\n\n if (tagName === 'TEXTAREA' && !el.readOnly) {\n return true;\n }\n\n if (el.isContentEditable) {\n return true;\n }\n\n return false;\n }\n\n /**\n * Add the `focus-visible` class to the given element if it was not added by\n * the author.\n * @param {Element} el\n */\n function addFocusVisibleClass(el) {\n if (el.classList.contains('focus-visible')) {\n return;\n }\n el.classList.add('focus-visible');\n el.setAttribute('data-focus-visible-added', '');\n }\n\n /**\n * Remove the `focus-visible` class from the given element if it was not\n * originally added by the author.\n * @param {Element} el\n */\n function removeFocusVisibleClass(el) {\n if (!el.hasAttribute('data-focus-visible-added')) {\n return;\n }\n el.classList.remove('focus-visible');\n el.removeAttribute('data-focus-visible-added');\n }\n\n /**\n * If the most recent user interaction was via the keyboard;\n * and the key press did not include a meta, alt/option, or control key;\n * then the modality is keyboard. Otherwise, the modality is not keyboard.\n * Apply `focus-visible` to any current active element and keep track\n * of our keyboard modality state with `hadKeyboardEvent`.\n * @param {KeyboardEvent} e\n */\n function onKeyDown(e) {\n if (e.metaKey || e.altKey || e.ctrlKey) {\n return;\n }\n\n if (isValidFocusTarget(scope.activeElement)) {\n addFocusVisibleClass(scope.activeElement);\n }\n\n hadKeyboardEvent = true;\n }\n\n /**\n * If at any point a user clicks with a pointing device, ensure that we change\n * the modality away from keyboard.\n * This avoids the situation where a user presses a key on an already focused\n * element, and then clicks on a different element, focusing it with a\n * pointing device, while we still think we're in keyboard modality.\n * @param {Event} e\n */\n function onPointerDown(e) {\n hadKeyboardEvent = false;\n }\n\n /**\n * On `focus`, add the `focus-visible` class to the target if:\n * - the target received focus as a result of keyboard navigation, or\n * - the event target is an element that will likely require interaction\n * via the keyboard (e.g. a text box)\n * @param {Event} e\n */\n function onFocus(e) {\n // Prevent IE from focusing the document or HTML element.\n if (!isValidFocusTarget(e.target)) {\n return;\n }\n\n if (hadKeyboardEvent || focusTriggersKeyboardModality(e.target)) {\n addFocusVisibleClass(e.target);\n }\n }\n\n /**\n * On `blur`, remove the `focus-visible` class from the target.\n * @param {Event} e\n */\n function onBlur(e) {\n if (!isValidFocusTarget(e.target)) {\n return;\n }\n\n if (\n e.target.classList.contains('focus-visible') ||\n e.target.hasAttribute('data-focus-visible-added')\n ) {\n // To detect a tab/window switch, we look for a blur event followed\n // rapidly by a visibility change.\n // If we don't see a visibility change within 100ms, it's probably a\n // regular focus change.\n hadFocusVisibleRecently = true;\n window.clearTimeout(hadFocusVisibleRecentlyTimeout);\n hadFocusVisibleRecentlyTimeout = window.setTimeout(function() {\n hadFocusVisibleRecently = false;\n }, 100);\n removeFocusVisibleClass(e.target);\n }\n }\n\n /**\n * If the user changes tabs, keep track of whether or not the previously\n * focused element had .focus-visible.\n * @param {Event} e\n */\n function onVisibilityChange(e) {\n if (document.visibilityState === 'hidden') {\n // If the tab becomes active again, the browser will handle calling focus\n // on the element (Safari actually calls it twice).\n // If this tab change caused a blur on an element with focus-visible,\n // re-apply the class when the user switches back to the tab.\n if (hadFocusVisibleRecently) {\n hadKeyboardEvent = true;\n }\n addInitialPointerMoveListeners();\n }\n }\n\n /**\n * Add a group of listeners to detect usage of any pointing devices.\n * These listeners will be added when the polyfill first loads, and anytime\n * the window is blurred, so that they are active when the window regains\n * focus.\n */\n function addInitialPointerMoveListeners() {\n document.addEventListener('mousemove', onInitialPointerMove);\n document.addEventListener('mousedown', onInitialPointerMove);\n document.addEventListener('mouseup', onInitialPointerMove);\n document.addEventListener('pointermove', onInitialPointerMove);\n document.addEventListener('pointerdown', onInitialPointerMove);\n document.addEventListener('pointerup', onInitialPointerMove);\n document.addEventListener('touchmove', onInitialPointerMove);\n document.addEventListener('touchstart', onInitialPointerMove);\n document.addEventListener('touchend', onInitialPointerMove);\n }\n\n function removeInitialPointerMoveListeners() {\n document.removeEventListener('mousemove', onInitialPointerMove);\n document.removeEventListener('mousedown', onInitialPointerMove);\n document.removeEventListener('mouseup', onInitialPointerMove);\n document.removeEventListener('pointermove', onInitialPointerMove);\n document.removeEventListener('pointerdown', onInitialPointerMove);\n document.removeEventListener('pointerup', onInitialPointerMove);\n document.removeEventListener('touchmove', onInitialPointerMove);\n document.removeEventListener('touchstart', onInitialPointerMove);\n document.removeEventListener('touchend', onInitialPointerMove);\n }\n\n /**\n * When the polfyill first loads, assume the user is in keyboard modality.\n * If any event is received from a pointing device (e.g. mouse, pointer,\n * touch), turn off keyboard modality.\n * This accounts for situations where focus enters the page from the URL bar.\n * @param {Event} e\n */\n function onInitialPointerMove(e) {\n // Work around a Safari quirk that fires a mousemove on whenever the\n // window blurs, even if you're tabbing out of the page. \u00AF\\_(\u30C4)_/\u00AF\n if (e.target.nodeName && e.target.nodeName.toLowerCase() === 'html') {\n return;\n }\n\n hadKeyboardEvent = false;\n removeInitialPointerMoveListeners();\n }\n\n // For some kinds of state, we are interested in changes at the global scope\n // only. For example, global pointer input, global key presses and global\n // visibility change should affect the state at every scope:\n document.addEventListener('keydown', onKeyDown, true);\n document.addEventListener('mousedown', onPointerDown, true);\n document.addEventListener('pointerdown', onPointerDown, true);\n document.addEventListener('touchstart', onPointerDown, true);\n document.addEventListener('visibilitychange', onVisibilityChange, true);\n\n addInitialPointerMoveListeners();\n\n // For focus and blur, we specifically care about state changes in the local\n // scope. This is because focus / blur events that originate from within a\n // shadow root are not re-dispatched from the host element if it was already\n // the active element in its own scope:\n scope.addEventListener('focus', onFocus, true);\n scope.addEventListener('blur', onBlur, true);\n\n // We detect that a node is a ShadowRoot by ensuring that it is a\n // DocumentFragment and also has a host property. This check covers native\n // implementation and polyfill implementation transparently. If we only cared\n // about the native implementation, we could just check if the scope was\n // an instance of a ShadowRoot.\n if (scope.nodeType === Node.DOCUMENT_FRAGMENT_NODE && scope.host) {\n // Since a ShadowRoot is a special kind of DocumentFragment, it does not\n // have a root element to add a class to. So, we add this attribute to the\n // host element instead:\n scope.host.setAttribute('data-js-focus-visible', '');\n } else if (scope.nodeType === Node.DOCUMENT_NODE) {\n document.documentElement.classList.add('js-focus-visible');\n document.documentElement.setAttribute('data-js-focus-visible', '');\n }\n }\n\n // It is important to wrap all references to global window and document in\n // these checks to support server-side rendering use cases\n // @see https://github.com/WICG/focus-visible/issues/199\n if (typeof window !== 'undefined' && typeof document !== 'undefined') {\n // Make the polyfill helper globally available. This can be used as a signal\n // to interested libraries that wish to coordinate with the polyfill for e.g.,\n // applying the polyfill to a shadow root:\n window.applyFocusVisiblePolyfill = applyFocusVisiblePolyfill;\n\n // Notify interested libraries of the polyfill's presence, in case the\n // polyfill was loaded lazily:\n var event;\n\n try {\n event = new CustomEvent('focus-visible-polyfill-ready');\n } catch (error) {\n // IE11 does not support using CustomEvent as a constructor directly:\n event = document.createEvent('CustomEvent');\n event.initCustomEvent('focus-visible-polyfill-ready', false, false, {});\n }\n\n window.dispatchEvent(event);\n }\n\n if (typeof document !== 'undefined') {\n // Apply the polyfill to the global document, so that no JavaScript\n // coordination is required to use the polyfill in the top-level document:\n applyFocusVisiblePolyfill(document);\n }\n\n})));\n", "(function(global) {\r\n /**\r\n * Polyfill URLSearchParams\r\n *\r\n * Inspired from : https://github.com/WebReflection/url-search-params/blob/master/src/url-search-params.js\r\n */\r\n\r\n var checkIfIteratorIsSupported = function() {\r\n try {\r\n return !!Symbol.iterator;\r\n } catch (error) {\r\n return false;\r\n }\r\n };\r\n\r\n\r\n var iteratorSupported = checkIfIteratorIsSupported();\r\n\r\n var createIterator = function(items) {\r\n var iterator = {\r\n next: function() {\r\n var value = items.shift();\r\n return { done: value === void 0, value: value };\r\n }\r\n };\r\n\r\n if (iteratorSupported) {\r\n iterator[Symbol.iterator] = function() {\r\n return iterator;\r\n };\r\n }\r\n\r\n return iterator;\r\n };\r\n\r\n /**\r\n * Search param name and values should be encoded according to https://url.spec.whatwg.org/#urlencoded-serializing\r\n * encodeURIComponent() produces the same result except encoding spaces as `%20` instead of `+`.\r\n */\r\n var serializeParam = function(value) {\r\n return encodeURIComponent(value).replace(/%20/g, '+');\r\n };\r\n\r\n var deserializeParam = function(value) {\r\n return decodeURIComponent(String(value).replace(/\\+/g, ' '));\r\n };\r\n\r\n var polyfillURLSearchParams = function() {\r\n\r\n var URLSearchParams = function(searchString) {\r\n Object.defineProperty(this, '_entries', { writable: true, value: {} });\r\n var typeofSearchString = typeof searchString;\r\n\r\n if (typeofSearchString === 'undefined') {\r\n // do nothing\r\n } else if (typeofSearchString === 'string') {\r\n if (searchString !== '') {\r\n this._fromString(searchString);\r\n }\r\n } else if (searchString instanceof URLSearchParams) {\r\n var _this = this;\r\n searchString.forEach(function(value, name) {\r\n _this.append(name, value);\r\n });\r\n } else if ((searchString !== null) && (typeofSearchString === 'object')) {\r\n if (Object.prototype.toString.call(searchString) === '[object Array]') {\r\n for (var i = 0; i < searchString.length; i++) {\r\n var entry = searchString[i];\r\n if ((Object.prototype.toString.call(entry) === '[object Array]') || (entry.length !== 2)) {\r\n this.append(entry[0], entry[1]);\r\n } else {\r\n throw new TypeError('Expected [string, any] as entry at index ' + i + ' of URLSearchParams\\'s input');\r\n }\r\n }\r\n } else {\r\n for (var key in searchString) {\r\n if (searchString.hasOwnProperty(key)) {\r\n this.append(key, searchString[key]);\r\n }\r\n }\r\n }\r\n } else {\r\n throw new TypeError('Unsupported input\\'s type for URLSearchParams');\r\n }\r\n };\r\n\r\n var proto = URLSearchParams.prototype;\r\n\r\n proto.append = function(name, value) {\r\n if (name in this._entries) {\r\n this._entries[name].push(String(value));\r\n } else {\r\n this._entries[name] = [String(value)];\r\n }\r\n };\r\n\r\n proto.delete = function(name) {\r\n delete this._entries[name];\r\n };\r\n\r\n proto.get = function(name) {\r\n return (name in this._entries) ? this._entries[name][0] : null;\r\n };\r\n\r\n proto.getAll = function(name) {\r\n return (name in this._entries) ? this._entries[name].slice(0) : [];\r\n };\r\n\r\n proto.has = function(name) {\r\n return (name in this._entries);\r\n };\r\n\r\n proto.set = function(name, value) {\r\n this._entries[name] = [String(value)];\r\n };\r\n\r\n proto.forEach = function(callback, thisArg) {\r\n var entries;\r\n for (var name in this._entries) {\r\n if (this._entries.hasOwnProperty(name)) {\r\n entries = this._entries[name];\r\n for (var i = 0; i < entries.length; i++) {\r\n callback.call(thisArg, entries[i], name, this);\r\n }\r\n }\r\n }\r\n };\r\n\r\n proto.keys = function() {\r\n var items = [];\r\n this.forEach(function(value, name) {\r\n items.push(name);\r\n });\r\n return createIterator(items);\r\n };\r\n\r\n proto.values = function() {\r\n var items = [];\r\n this.forEach(function(value) {\r\n items.push(value);\r\n });\r\n return createIterator(items);\r\n };\r\n\r\n proto.entries = function() {\r\n var items = [];\r\n this.forEach(function(value, name) {\r\n items.push([name, value]);\r\n });\r\n return createIterator(items);\r\n };\r\n\r\n if (iteratorSupported) {\r\n proto[Symbol.iterator] = proto.entries;\r\n }\r\n\r\n proto.toString = function() {\r\n var searchArray = [];\r\n this.forEach(function(value, name) {\r\n searchArray.push(serializeParam(name) + '=' + serializeParam(value));\r\n });\r\n return searchArray.join('&');\r\n };\r\n\r\n\r\n global.URLSearchParams = URLSearchParams;\r\n };\r\n\r\n var checkIfURLSearchParamsSupported = function() {\r\n try {\r\n var URLSearchParams = global.URLSearchParams;\r\n\r\n return (\r\n (new URLSearchParams('?a=1').toString() === 'a=1') &&\r\n (typeof URLSearchParams.prototype.set === 'function') &&\r\n (typeof URLSearchParams.prototype.entries === 'function')\r\n );\r\n } catch (e) {\r\n return false;\r\n }\r\n };\r\n\r\n if (!checkIfURLSearchParamsSupported()) {\r\n polyfillURLSearchParams();\r\n }\r\n\r\n var proto = global.URLSearchParams.prototype;\r\n\r\n if (typeof proto.sort !== 'function') {\r\n proto.sort = function() {\r\n var _this = this;\r\n var items = [];\r\n this.forEach(function(value, name) {\r\n items.push([name, value]);\r\n if (!_this._entries) {\r\n _this.delete(name);\r\n }\r\n });\r\n items.sort(function(a, b) {\r\n if (a[0] < b[0]) {\r\n return -1;\r\n } else if (a[0] > b[0]) {\r\n return +1;\r\n } else {\r\n return 0;\r\n }\r\n });\r\n if (_this._entries) { // force reset because IE keeps keys index\r\n _this._entries = {};\r\n }\r\n for (var i = 0; i < items.length; i++) {\r\n this.append(items[i][0], items[i][1]);\r\n }\r\n };\r\n }\r\n\r\n if (typeof proto._fromString !== 'function') {\r\n Object.defineProperty(proto, '_fromString', {\r\n enumerable: false,\r\n configurable: false,\r\n writable: false,\r\n value: function(searchString) {\r\n if (this._entries) {\r\n this._entries = {};\r\n } else {\r\n var keys = [];\r\n this.forEach(function(value, name) {\r\n keys.push(name);\r\n });\r\n for (var i = 0; i < keys.length; i++) {\r\n this.delete(keys[i]);\r\n }\r\n }\r\n\r\n searchString = searchString.replace(/^\\?/, '');\r\n var attributes = searchString.split('&');\r\n var attribute;\r\n for (var i = 0; i < attributes.length; i++) {\r\n attribute = attributes[i].split('=');\r\n this.append(\r\n deserializeParam(attribute[0]),\r\n (attribute.length > 1) ? deserializeParam(attribute[1]) : ''\r\n );\r\n }\r\n }\r\n });\r\n }\r\n\r\n // HTMLAnchorElement\r\n\r\n})(\r\n (typeof global !== 'undefined') ? global\r\n : ((typeof window !== 'undefined') ? window\r\n : ((typeof self !== 'undefined') ? self : this))\r\n);\r\n\r\n(function(global) {\r\n /**\r\n * Polyfill URL\r\n *\r\n * Inspired from : https://github.com/arv/DOM-URL-Polyfill/blob/master/src/url.js\r\n */\r\n\r\n var checkIfURLIsSupported = function() {\r\n try {\r\n var u = new global.URL('b', 'http://a');\r\n u.pathname = 'c d';\r\n return (u.href === 'http://a/c%20d') && u.searchParams;\r\n } catch (e) {\r\n return false;\r\n }\r\n };\r\n\r\n\r\n var polyfillURL = function() {\r\n var _URL = global.URL;\r\n\r\n var URL = function(url, base) {\r\n if (typeof url !== 'string') url = String(url);\r\n if (base && typeof base !== 'string') base = String(base);\r\n\r\n // Only create another document if the base is different from current location.\r\n var doc = document, baseElement;\r\n if (base && (global.location === void 0 || base !== global.location.href)) {\r\n base = base.toLowerCase();\r\n doc = document.implementation.createHTMLDocument('');\r\n baseElement = doc.createElement('base');\r\n baseElement.href = base;\r\n doc.head.appendChild(baseElement);\r\n try {\r\n if (baseElement.href.indexOf(base) !== 0) throw new Error(baseElement.href);\r\n } catch (err) {\r\n throw new Error('URL unable to set base ' + base + ' due to ' + err);\r\n }\r\n }\r\n\r\n var anchorElement = doc.createElement('a');\r\n anchorElement.href = url;\r\n if (baseElement) {\r\n doc.body.appendChild(anchorElement);\r\n anchorElement.href = anchorElement.href; // force href to refresh\r\n }\r\n\r\n var inputElement = doc.createElement('input');\r\n inputElement.type = 'url';\r\n inputElement.value = url;\r\n\r\n if (anchorElement.protocol === ':' || !/:/.test(anchorElement.href) || (!inputElement.checkValidity() && !base)) {\r\n throw new TypeError('Invalid URL');\r\n }\r\n\r\n Object.defineProperty(this, '_anchorElement', {\r\n value: anchorElement\r\n });\r\n\r\n\r\n // create a linked searchParams which reflect its changes on URL\r\n var searchParams = new global.URLSearchParams(this.search);\r\n var enableSearchUpdate = true;\r\n var enableSearchParamsUpdate = true;\r\n var _this = this;\r\n ['append', 'delete', 'set'].forEach(function(methodName) {\r\n var method = searchParams[methodName];\r\n searchParams[methodName] = function() {\r\n method.apply(searchParams, arguments);\r\n if (enableSearchUpdate) {\r\n enableSearchParamsUpdate = false;\r\n _this.search = searchParams.toString();\r\n enableSearchParamsUpdate = true;\r\n }\r\n };\r\n });\r\n\r\n Object.defineProperty(this, 'searchParams', {\r\n value: searchParams,\r\n enumerable: true\r\n });\r\n\r\n var search = void 0;\r\n Object.defineProperty(this, '_updateSearchParams', {\r\n enumerable: false,\r\n configurable: false,\r\n writable: false,\r\n value: function() {\r\n if (this.search !== search) {\r\n search = this.search;\r\n if (enableSearchParamsUpdate) {\r\n enableSearchUpdate = false;\r\n this.searchParams._fromString(this.search);\r\n enableSearchUpdate = true;\r\n }\r\n }\r\n }\r\n });\r\n };\r\n\r\n var proto = URL.prototype;\r\n\r\n var linkURLWithAnchorAttribute = function(attributeName) {\r\n Object.defineProperty(proto, attributeName, {\r\n get: function() {\r\n return this._anchorElement[attributeName];\r\n },\r\n set: function(value) {\r\n this._anchorElement[attributeName] = value;\r\n },\r\n enumerable: true\r\n });\r\n };\r\n\r\n ['hash', 'host', 'hostname', 'port', 'protocol']\r\n .forEach(function(attributeName) {\r\n linkURLWithAnchorAttribute(attributeName);\r\n });\r\n\r\n Object.defineProperty(proto, 'search', {\r\n get: function() {\r\n return this._anchorElement['search'];\r\n },\r\n set: function(value) {\r\n this._anchorElement['search'] = value;\r\n this._updateSearchParams();\r\n },\r\n enumerable: true\r\n });\r\n\r\n Object.defineProperties(proto, {\r\n\r\n 'toString': {\r\n get: function() {\r\n var _this = this;\r\n return function() {\r\n return _this.href;\r\n };\r\n }\r\n },\r\n\r\n 'href': {\r\n get: function() {\r\n return this._anchorElement.href.replace(/\\?$/, '');\r\n },\r\n set: function(value) {\r\n this._anchorElement.href = value;\r\n this._updateSearchParams();\r\n },\r\n enumerable: true\r\n },\r\n\r\n 'pathname': {\r\n get: function() {\r\n return this._anchorElement.pathname.replace(/(^\\/?)/, '/');\r\n },\r\n set: function(value) {\r\n this._anchorElement.pathname = value;\r\n },\r\n enumerable: true\r\n },\r\n\r\n 'origin': {\r\n get: function() {\r\n // get expected port from protocol\r\n var expectedPort = { 'http:': 80, 'https:': 443, 'ftp:': 21 }[this._anchorElement.protocol];\r\n // add port to origin if, expected port is different than actual port\r\n // and it is not empty f.e http://foo:8080\r\n // 8080 != 80 && 8080 != ''\r\n var addPortToOrigin = this._anchorElement.port != expectedPort &&\r\n this._anchorElement.port !== '';\r\n\r\n return this._anchorElement.protocol +\r\n '//' +\r\n this._anchorElement.hostname +\r\n (addPortToOrigin ? (':' + this._anchorElement.port) : '');\r\n },\r\n enumerable: true\r\n },\r\n\r\n 'password': { // TODO\r\n get: function() {\r\n return '';\r\n },\r\n set: function(value) {\r\n },\r\n enumerable: true\r\n },\r\n\r\n 'username': { // TODO\r\n get: function() {\r\n return '';\r\n },\r\n set: function(value) {\r\n },\r\n enumerable: true\r\n },\r\n });\r\n\r\n URL.createObjectURL = function(blob) {\r\n return _URL.createObjectURL.apply(_URL, arguments);\r\n };\r\n\r\n URL.revokeObjectURL = function(url) {\r\n return _URL.revokeObjectURL.apply(_URL, arguments);\r\n };\r\n\r\n global.URL = URL;\r\n\r\n };\r\n\r\n if (!checkIfURLIsSupported()) {\r\n polyfillURL();\r\n }\r\n\r\n if ((global.location !== void 0) && !('origin' in global.location)) {\r\n var getOrigin = function() {\r\n return global.location.protocol + '//' + global.location.hostname + (global.location.port ? 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'copy' : _options$action,\n container = options.container,\n target = options.target,\n text = options.text; // Sets the `action` to be performed which can be either 'copy' or 'cut'.\n\n if (action !== 'copy' && action !== 'cut') {\n throw new Error('Invalid \"action\" value, use either \"copy\" or \"cut\"');\n } // Sets the `target` property using an element that will be have its content copied.\n\n\n if (target !== undefined) {\n if (target && _typeof(target) === 'object' && target.nodeType === 1) {\n if (action === 'copy' && target.hasAttribute('disabled')) {\n throw new Error('Invalid \"target\" attribute. Please use \"readonly\" instead of \"disabled\" attribute');\n }\n\n if (action === 'cut' && (target.hasAttribute('readonly') || target.hasAttribute('disabled'))) {\n throw new Error('Invalid \"target\" attribute. You can\\'t cut text from elements with \"readonly\" or \"disabled\" attributes');\n }\n } else {\n throw new Error('Invalid \"target\" value, use a valid Element');\n }\n } // Define selection strategy based on `text` property.\n\n\n if (text) {\n return actions_copy(text, {\n container: container\n });\n } // Defines which selection strategy based on `target` property.\n\n\n if (target) {\n return action === 'cut' ? actions_cut(target) : actions_copy(target, {\n container: container\n });\n }\n};\n\n/* harmony default export */ var actions_default = (ClipboardActionDefault);\n;// CONCATENATED MODULE: ./src/clipboard.js\nfunction clipboard_typeof(obj) { \"@babel/helpers - typeof\"; if (typeof Symbol === \"function\" && typeof Symbol.iterator === \"symbol\") { clipboard_typeof = function _typeof(obj) { return typeof obj; }; } else { clipboard_typeof = function _typeof(obj) { return obj && typeof Symbol === \"function\" && obj.constructor === Symbol && obj !== Symbol.prototype ? \"symbol\" : typeof obj; }; } return clipboard_typeof(obj); }\n\nfunction _classCallCheck(instance, Constructor) { if (!(instance instanceof Constructor)) { throw new TypeError(\"Cannot call a class as a function\"); } }\n\nfunction _defineProperties(target, props) { for (var i = 0; i < props.length; i++) { var descriptor = props[i]; descriptor.enumerable = descriptor.enumerable || false; descriptor.configurable = true; if (\"value\" in descriptor) descriptor.writable = true; Object.defineProperty(target, descriptor.key, descriptor); } }\n\nfunction _createClass(Constructor, protoProps, staticProps) { if (protoProps) _defineProperties(Constructor.prototype, protoProps); if (staticProps) _defineProperties(Constructor, staticProps); return Constructor; }\n\nfunction _inherits(subClass, superClass) { if (typeof superClass !== \"function\" && superClass !== null) { throw new TypeError(\"Super expression must either be null or a function\"); } subClass.prototype = Object.create(superClass && superClass.prototype, { constructor: { value: subClass, writable: true, configurable: true } }); if (superClass) _setPrototypeOf(subClass, superClass); }\n\nfunction _setPrototypeOf(o, p) { _setPrototypeOf = Object.setPrototypeOf || function _setPrototypeOf(o, p) { o.__proto__ = p; return o; }; return _setPrototypeOf(o, p); }\n\nfunction _createSuper(Derived) { var hasNativeReflectConstruct = _isNativeReflectConstruct(); return function _createSuperInternal() { var Super = _getPrototypeOf(Derived), result; if (hasNativeReflectConstruct) { var NewTarget = _getPrototypeOf(this).constructor; result = Reflect.construct(Super, arguments, NewTarget); } else { result = Super.apply(this, arguments); } return _possibleConstructorReturn(this, result); }; }\n\nfunction _possibleConstructorReturn(self, call) { if (call && (clipboard_typeof(call) === \"object\" || typeof call === \"function\")) { return call; } return _assertThisInitialized(self); }\n\nfunction _assertThisInitialized(self) { if (self === void 0) { throw new ReferenceError(\"this hasn't been initialised - super() hasn't been called\"); } return self; }\n\nfunction _isNativeReflectConstruct() { if (typeof Reflect === \"undefined\" || !Reflect.construct) return false; if (Reflect.construct.sham) return false; if (typeof Proxy === \"function\") return true; try { Date.prototype.toString.call(Reflect.construct(Date, [], function () {})); return true; } catch (e) { return false; } }\n\nfunction _getPrototypeOf(o) { _getPrototypeOf = Object.setPrototypeOf ? Object.getPrototypeOf : function _getPrototypeOf(o) { return o.__proto__ || Object.getPrototypeOf(o); }; return _getPrototypeOf(o); }\n\n\n\n\n\n\n/**\n * Helper function to retrieve attribute value.\n * @param {String} suffix\n * @param {Element} element\n */\n\nfunction getAttributeValue(suffix, element) {\n var attribute = \"data-clipboard-\".concat(suffix);\n\n if (!element.hasAttribute(attribute)) {\n return;\n }\n\n return element.getAttribute(attribute);\n}\n/**\n * Base class which takes one or more elements, adds event listeners to them,\n * and instantiates a new `ClipboardAction` on each click.\n */\n\n\nvar Clipboard = /*#__PURE__*/function (_Emitter) {\n _inherits(Clipboard, _Emitter);\n\n var _super = _createSuper(Clipboard);\n\n /**\n * @param {String|HTMLElement|HTMLCollection|NodeList} trigger\n * @param {Object} options\n */\n function Clipboard(trigger, options) {\n var _this;\n\n _classCallCheck(this, Clipboard);\n\n _this = _super.call(this);\n\n _this.resolveOptions(options);\n\n _this.listenClick(trigger);\n\n return _this;\n }\n /**\n * Defines if attributes would be resolved using internal setter functions\n * or custom functions that were passed in the constructor.\n * @param {Object} options\n */\n\n\n _createClass(Clipboard, [{\n key: \"resolveOptions\",\n value: function resolveOptions() {\n var options = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : {};\n this.action = typeof options.action === 'function' ? options.action : this.defaultAction;\n this.target = typeof options.target === 'function' ? options.target : this.defaultTarget;\n this.text = typeof options.text === 'function' ? options.text : this.defaultText;\n this.container = clipboard_typeof(options.container) === 'object' ? options.container : document.body;\n }\n /**\n * Adds a click event listener to the passed trigger.\n * @param {String|HTMLElement|HTMLCollection|NodeList} trigger\n */\n\n }, {\n key: \"listenClick\",\n value: function listenClick(trigger) {\n var _this2 = this;\n\n this.listener = listen_default()(trigger, 'click', function (e) {\n return _this2.onClick(e);\n });\n }\n /**\n * Defines a new `ClipboardAction` on each click event.\n * @param {Event} e\n */\n\n }, {\n key: \"onClick\",\n value: function onClick(e) {\n var trigger = e.delegateTarget || e.currentTarget;\n var action = this.action(trigger) || 'copy';\n var text = actions_default({\n action: action,\n container: this.container,\n target: this.target(trigger),\n text: this.text(trigger)\n }); // Fires an event based on the copy operation result.\n\n this.emit(text ? 'success' : 'error', {\n action: action,\n text: text,\n trigger: trigger,\n clearSelection: function clearSelection() {\n if (trigger) {\n trigger.focus();\n }\n\n window.getSelection().removeAllRanges();\n }\n });\n }\n /**\n * Default `action` lookup function.\n * @param {Element} trigger\n */\n\n }, {\n key: \"defaultAction\",\n value: function defaultAction(trigger) {\n return getAttributeValue('action', trigger);\n }\n /**\n * Default `target` lookup function.\n * @param {Element} trigger\n */\n\n }, {\n key: \"defaultTarget\",\n value: function defaultTarget(trigger) {\n var selector = getAttributeValue('target', trigger);\n\n if (selector) {\n return document.querySelector(selector);\n }\n }\n /**\n * Allow fire programmatically a copy action\n * @param {String|HTMLElement} target\n * @param {Object} options\n * @returns Text copied.\n */\n\n }, {\n key: \"defaultText\",\n\n /**\n * Default `text` lookup function.\n * @param {Element} trigger\n */\n value: function defaultText(trigger) {\n return getAttributeValue('text', trigger);\n }\n /**\n * Destroy lifecycle.\n */\n\n }, {\n key: \"destroy\",\n value: function destroy() {\n this.listener.destroy();\n }\n }], [{\n key: \"copy\",\n value: function copy(target) {\n var options = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {\n container: document.body\n };\n return actions_copy(target, options);\n }\n /**\n * Allow fire programmatically a cut action\n * @param {String|HTMLElement} target\n * @returns Text cutted.\n */\n\n }, {\n key: \"cut\",\n value: function cut(target) {\n return actions_cut(target);\n }\n /**\n * Returns the support of the given action, or all actions if no action is\n * given.\n * @param {String} [action]\n */\n\n }, {\n key: \"isSupported\",\n value: function isSupported() {\n var action = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : ['copy', 'cut'];\n var actions = typeof action === 'string' ? [action] : action;\n var support = !!document.queryCommandSupported;\n actions.forEach(function (action) {\n support = support && !!document.queryCommandSupported(action);\n });\n return support;\n }\n }]);\n\n return Clipboard;\n}((tiny_emitter_default()));\n\n/* harmony default export */ var clipboard = (Clipboard);\n\n/***/ }),\n\n/***/ 828:\n/***/ (function(module) {\n\nvar DOCUMENT_NODE_TYPE = 9;\n\n/**\n * A polyfill for Element.matches()\n */\nif (typeof Element !== 'undefined' && !Element.prototype.matches) {\n var proto = Element.prototype;\n\n proto.matches = proto.matchesSelector ||\n proto.mozMatchesSelector ||\n proto.msMatchesSelector ||\n proto.oMatchesSelector ||\n proto.webkitMatchesSelector;\n}\n\n/**\n * Finds the closest parent that matches a selector.\n *\n * @param {Element} element\n * @param {String} selector\n * @return {Function}\n */\nfunction closest (element, selector) {\n while (element && element.nodeType !== DOCUMENT_NODE_TYPE) {\n if (typeof element.matches === 'function' &&\n element.matches(selector)) {\n return element;\n }\n element = element.parentNode;\n }\n}\n\nmodule.exports = closest;\n\n\n/***/ }),\n\n/***/ 438:\n/***/ (function(module, __unused_webpack_exports, __webpack_require__) {\n\nvar closest = __webpack_require__(828);\n\n/**\n * Delegates event to a selector.\n *\n * @param {Element} element\n * @param {String} selector\n * @param {String} type\n * @param {Function} callback\n * @param {Boolean} useCapture\n * @return {Object}\n */\nfunction _delegate(element, selector, type, callback, useCapture) {\n var listenerFn = listener.apply(this, arguments);\n\n element.addEventListener(type, listenerFn, useCapture);\n\n return {\n destroy: function() {\n element.removeEventListener(type, listenerFn, useCapture);\n }\n }\n}\n\n/**\n * Delegates event to a selector.\n *\n * @param {Element|String|Array} [elements]\n * @param {String} selector\n * @param {String} type\n * @param {Function} callback\n * @param {Boolean} useCapture\n * @return {Object}\n */\nfunction delegate(elements, selector, type, callback, useCapture) {\n // Handle the regular Element usage\n if (typeof elements.addEventListener === 'function') {\n return _delegate.apply(null, arguments);\n }\n\n // Handle Element-less usage, it defaults to global delegation\n if (typeof type === 'function') {\n // Use `document` as the first parameter, then apply arguments\n // This is a short way to .unshift `arguments` without running into deoptimizations\n return _delegate.bind(null, document).apply(null, arguments);\n }\n\n // Handle Selector-based usage\n if (typeof elements === 'string') {\n elements = document.querySelectorAll(elements);\n }\n\n // Handle Array-like based usage\n return Array.prototype.map.call(elements, function (element) {\n return _delegate(element, selector, type, callback, useCapture);\n });\n}\n\n/**\n * Finds closest match and invokes callback.\n *\n * @param {Element} element\n * @param {String} selector\n * @param {String} type\n * @param {Function} callback\n * @return {Function}\n */\nfunction listener(element, selector, type, callback) {\n return function(e) {\n e.delegateTarget = closest(e.target, selector);\n\n if (e.delegateTarget) {\n callback.call(element, e);\n }\n }\n}\n\nmodule.exports = delegate;\n\n\n/***/ }),\n\n/***/ 879:\n/***/ (function(__unused_webpack_module, exports) {\n\n/**\n * Check if argument is a HTML element.\n *\n * @param {Object} value\n * @return {Boolean}\n */\nexports.node = function(value) {\n return value !== undefined\n && value instanceof HTMLElement\n && value.nodeType === 1;\n};\n\n/**\n * Check if argument is a list of HTML elements.\n *\n * @param {Object} value\n * @return {Boolean}\n */\nexports.nodeList = function(value) {\n var type = Object.prototype.toString.call(value);\n\n return value !== undefined\n && (type === '[object NodeList]' || type === '[object HTMLCollection]')\n && ('length' in value)\n && (value.length === 0 || exports.node(value[0]));\n};\n\n/**\n * Check if argument is a string.\n *\n * @param {Object} value\n * @return {Boolean}\n */\nexports.string = function(value) {\n return typeof value === 'string'\n || value instanceof String;\n};\n\n/**\n * Check if argument is a function.\n *\n * @param {Object} value\n * @return {Boolean}\n */\nexports.fn = function(value) {\n var type = Object.prototype.toString.call(value);\n\n return type === '[object Function]';\n};\n\n\n/***/ }),\n\n/***/ 370:\n/***/ (function(module, __unused_webpack_exports, __webpack_require__) {\n\nvar is = __webpack_require__(879);\nvar delegate = __webpack_require__(438);\n\n/**\n * Validates all params and calls the right\n * listener function based on its target type.\n *\n * @param {String|HTMLElement|HTMLCollection|NodeList} target\n * @param {String} type\n * @param {Function} callback\n * @return {Object}\n */\nfunction listen(target, type, callback) {\n if (!target && !type && !callback) {\n throw new Error('Missing required arguments');\n }\n\n if (!is.string(type)) {\n throw new TypeError('Second argument must be a String');\n }\n\n if (!is.fn(callback)) {\n throw new TypeError('Third argument must be a Function');\n }\n\n if (is.node(target)) {\n return listenNode(target, type, callback);\n }\n else if (is.nodeList(target)) {\n return listenNodeList(target, type, callback);\n }\n else if (is.string(target)) {\n return listenSelector(target, type, callback);\n }\n else {\n throw new TypeError('First argument must be a String, HTMLElement, HTMLCollection, or NodeList');\n }\n}\n\n/**\n * Adds an event listener to a HTML element\n * and returns a remove listener function.\n *\n * @param {HTMLElement} node\n * @param {String} type\n * @param {Function} callback\n * @return {Object}\n */\nfunction listenNode(node, type, callback) {\n node.addEventListener(type, callback);\n\n return {\n destroy: function() {\n node.removeEventListener(type, callback);\n }\n }\n}\n\n/**\n * Add an event listener to a list of HTML elements\n * and returns a remove listener function.\n *\n * @param {NodeList|HTMLCollection} nodeList\n * @param {String} type\n * @param {Function} callback\n * @return {Object}\n */\nfunction listenNodeList(nodeList, type, callback) {\n Array.prototype.forEach.call(nodeList, function(node) {\n node.addEventListener(type, callback);\n });\n\n return {\n destroy: function() {\n Array.prototype.forEach.call(nodeList, function(node) {\n node.removeEventListener(type, callback);\n });\n }\n }\n}\n\n/**\n * Add an event listener to a selector\n * and returns a remove listener function.\n *\n * @param {String} selector\n * @param {String} type\n * @param {Function} callback\n * @return {Object}\n */\nfunction listenSelector(selector, type, callback) {\n return delegate(document.body, selector, type, callback);\n}\n\nmodule.exports = listen;\n\n\n/***/ }),\n\n/***/ 817:\n/***/ (function(module) {\n\nfunction select(element) {\n var selectedText;\n\n if (element.nodeName === 'SELECT') {\n element.focus();\n\n selectedText = element.value;\n }\n else if (element.nodeName === 'INPUT' || element.nodeName === 'TEXTAREA') {\n var isReadOnly = element.hasAttribute('readonly');\n\n if (!isReadOnly) {\n element.setAttribute('readonly', '');\n }\n\n element.select();\n element.setSelectionRange(0, element.value.length);\n\n if (!isReadOnly) {\n element.removeAttribute('readonly');\n }\n\n selectedText = element.value;\n }\n else {\n if (element.hasAttribute('contenteditable')) {\n element.focus();\n }\n\n var selection = window.getSelection();\n var range = document.createRange();\n\n range.selectNodeContents(element);\n selection.removeAllRanges();\n selection.addRange(range);\n\n selectedText = selection.toString();\n }\n\n return selectedText;\n}\n\nmodule.exports = select;\n\n\n/***/ }),\n\n/***/ 279:\n/***/ (function(module) {\n\nfunction E () {\n // Keep this empty so it's easier to inherit from\n // (via https://github.com/lipsmack from https://github.com/scottcorgan/tiny-emitter/issues/3)\n}\n\nE.prototype = {\n on: function (name, callback, ctx) {\n var e = this.e || (this.e = {});\n\n (e[name] || (e[name] = [])).push({\n fn: callback,\n ctx: ctx\n });\n\n return this;\n },\n\n once: function (name, callback, ctx) {\n var self = this;\n function listener () {\n self.off(name, listener);\n callback.apply(ctx, arguments);\n };\n\n listener._ = callback\n return this.on(name, listener, ctx);\n },\n\n emit: function (name) {\n var data = [].slice.call(arguments, 1);\n var evtArr = ((this.e || (this.e = {}))[name] || []).slice();\n var i = 0;\n var len = evtArr.length;\n\n for (i; i < len; i++) {\n evtArr[i].fn.apply(evtArr[i].ctx, data);\n }\n\n return this;\n },\n\n off: function (name, callback) {\n var e = this.e || (this.e = {});\n var evts = e[name];\n var liveEvents = [];\n\n if (evts && callback) {\n for (var i = 0, len = evts.length; i < len; i++) {\n if (evts[i].fn !== callback && evts[i].fn._ !== callback)\n liveEvents.push(evts[i]);\n }\n }\n\n // Remove event from queue to prevent memory leak\n // Suggested by https://github.com/lazd\n // Ref: https://github.com/scottcorgan/tiny-emitter/commit/c6ebfaa9bc973b33d110a84a307742b7cf94c953#commitcomment-5024910\n\n (liveEvents.length)\n ? e[name] = liveEvents\n : delete e[name];\n\n return this;\n }\n};\n\nmodule.exports = E;\nmodule.exports.TinyEmitter = E;\n\n\n/***/ })\n\n/******/ \t});\n/************************************************************************/\n/******/ \t// The module cache\n/******/ \tvar __webpack_module_cache__ = {};\n/******/ \t\n/******/ \t// The require function\n/******/ \tfunction __webpack_require__(moduleId) {\n/******/ \t\t// Check if module is in cache\n/******/ \t\tif(__webpack_module_cache__[moduleId]) {\n/******/ \t\t\treturn __webpack_module_cache__[moduleId].exports;\n/******/ \t\t}\n/******/ \t\t// Create a new module (and put it into the cache)\n/******/ \t\tvar module = __webpack_module_cache__[moduleId] = {\n/******/ \t\t\t// no module.id needed\n/******/ \t\t\t// no module.loaded needed\n/******/ \t\t\texports: {}\n/******/ \t\t};\n/******/ \t\n/******/ \t\t// Execute the module function\n/******/ \t\t__webpack_modules__[moduleId](module, module.exports, __webpack_require__);\n/******/ \t\n/******/ \t\t// Return the exports of the module\n/******/ \t\treturn module.exports;\n/******/ \t}\n/******/ \t\n/************************************************************************/\n/******/ \t/* webpack/runtime/compat get default export */\n/******/ \t!function() {\n/******/ \t\t// getDefaultExport function for compatibility with non-harmony modules\n/******/ \t\t__webpack_require__.n = function(module) {\n/******/ \t\t\tvar getter = module && module.__esModule ?\n/******/ \t\t\t\tfunction() { return module['default']; } :\n/******/ \t\t\t\tfunction() { return module; };\n/******/ \t\t\t__webpack_require__.d(getter, { a: getter });\n/******/ \t\t\treturn getter;\n/******/ \t\t};\n/******/ \t}();\n/******/ \t\n/******/ \t/* webpack/runtime/define property getters */\n/******/ \t!function() {\n/******/ \t\t// define getter functions for harmony exports\n/******/ \t\t__webpack_require__.d = function(exports, definition) {\n/******/ \t\t\tfor(var key in definition) {\n/******/ \t\t\t\tif(__webpack_require__.o(definition, key) && !__webpack_require__.o(exports, key)) {\n/******/ \t\t\t\t\tObject.defineProperty(exports, key, { enumerable: true, get: definition[key] });\n/******/ \t\t\t\t}\n/******/ \t\t\t}\n/******/ \t\t};\n/******/ \t}();\n/******/ \t\n/******/ \t/* webpack/runtime/hasOwnProperty shorthand */\n/******/ \t!function() {\n/******/ \t\t__webpack_require__.o = function(obj, prop) { return Object.prototype.hasOwnProperty.call(obj, prop); }\n/******/ \t}();\n/******/ \t\n/************************************************************************/\n/******/ \t// module exports must be returned from runtime so entry inlining is disabled\n/******/ \t// startup\n/******/ \t// Load entry module and return exports\n/******/ \treturn __webpack_require__(686);\n/******/ })()\n.default;\n});", "/*!\n * escape-html\n * Copyright(c) 2012-2013 TJ Holowaychuk\n * Copyright(c) 2015 Andreas Lubbe\n * Copyright(c) 2015 Tiancheng \"Timothy\" Gu\n * MIT Licensed\n */\n\n'use strict';\n\n/**\n * Module variables.\n * @private\n */\n\nvar matchHtmlRegExp = /[\"'&<>]/;\n\n/**\n * Module exports.\n * @public\n */\n\nmodule.exports = escapeHtml;\n\n/**\n * Escape special characters in the given string of html.\n *\n * @param {string} string The string to escape for inserting into HTML\n * @return {string}\n * @public\n */\n\nfunction escapeHtml(string) {\n var str = '' + string;\n var match = matchHtmlRegExp.exec(str);\n\n if (!match) {\n return str;\n }\n\n var escape;\n var html = '';\n var index = 0;\n var lastIndex = 0;\n\n for (index = match.index; index < str.length; index++) {\n switch (str.charCodeAt(index)) {\n case 34: // \"\n escape = '"';\n break;\n case 38: // &\n escape = '&';\n break;\n case 39: // '\n escape = ''';\n break;\n case 60: // <\n escape = '<';\n break;\n case 62: // >\n escape = '>';\n break;\n default:\n continue;\n }\n\n if (lastIndex !== index) {\n html += str.substring(lastIndex, index);\n }\n\n lastIndex = index + 1;\n html += escape;\n }\n\n return lastIndex !== index\n ? html + str.substring(lastIndex, index)\n : html;\n}\n", "Array.prototype.flat||Object.defineProperty(Array.prototype,\"flat\",{configurable:!0,value:function r(){var t=isNaN(arguments[0])?1:Number(arguments[0]);return t?Array.prototype.reduce.call(this,function(a,e){return Array.isArray(e)?a.push.apply(a,r.call(e,t-1)):a.push(e),a},[]):Array.prototype.slice.call(this)},writable:!0}),Array.prototype.flatMap||Object.defineProperty(Array.prototype,\"flatMap\",{configurable:!0,value:function(r){return Array.prototype.map.apply(this,arguments).flat()},writable:!0})\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport \"array-flat-polyfill\"\nimport \"focus-visible\"\nimport \"unfetch/polyfill\"\nimport \"url-polyfill\"\n\nimport {\n EMPTY,\n NEVER,\n Subject,\n defer,\n delay,\n filter,\n map,\n merge,\n mergeWith,\n shareReplay,\n switchMap\n} from \"rxjs\"\n\nimport { configuration, feature } from \"./_\"\nimport {\n at,\n getOptionalElement,\n requestJSON,\n setToggle,\n watchDocument,\n watchKeyboard,\n watchLocation,\n watchLocationTarget,\n watchMedia,\n watchPrint,\n watchViewport\n} from \"./browser\"\nimport {\n getComponentElement,\n getComponentElements,\n mountAnnounce,\n mountBackToTop,\n mountConsent,\n mountContent,\n mountDialog,\n mountHeader,\n mountHeaderTitle,\n mountPalette,\n mountSearch,\n mountSearchHiglight,\n mountSidebar,\n mountSource,\n mountTableOfContents,\n mountTabs,\n watchHeader,\n watchMain\n} from \"./components\"\nimport {\n SearchIndex,\n setupClipboardJS,\n setupInstantLoading,\n setupVersionSelector\n} from \"./integrations\"\nimport {\n patchIndeterminate,\n patchScrollfix,\n patchScrolllock\n} from \"./patches\"\nimport \"./polyfills\"\n\n/* ----------------------------------------------------------------------------\n * Application\n * ------------------------------------------------------------------------- */\n\n/* Yay, JavaScript is available */\ndocument.documentElement.classList.remove(\"no-js\")\ndocument.documentElement.classList.add(\"js\")\n\n/* Set up navigation observables and subjects */\nconst document$ = watchDocument()\nconst location$ = watchLocation()\nconst target$ = watchLocationTarget()\nconst keyboard$ = watchKeyboard()\n\n/* Set up media observables */\nconst viewport$ = watchViewport()\nconst tablet$ = watchMedia(\"(min-width: 960px)\")\nconst screen$ = watchMedia(\"(min-width: 1220px)\")\nconst print$ = watchPrint()\n\n/* Retrieve search index, if search is enabled */\nconst config = configuration()\nconst index$ = document.forms.namedItem(\"search\")\n ? __search?.index || requestJSON(\n new URL(\"search/search_index.json\", config.base)\n )\n : NEVER\n\n/* Set up Clipboard.js integration */\nconst alert$ = new Subject()\nsetupClipboardJS({ alert$ })\n\n/* Set up instant loading, if enabled */\nif (feature(\"navigation.instant\"))\n setupInstantLoading({ document$, location$, viewport$ })\n\n/* Set up version selector */\nif (config.version?.provider === \"mike\")\n setupVersionSelector({ document$ })\n\n/* Always close drawer and search on navigation */\nmerge(location$, target$)\n .pipe(\n delay(125)\n )\n .subscribe(() => {\n setToggle(\"drawer\", false)\n setToggle(\"search\", false)\n })\n\n/* Set up global keyboard handlers */\nkeyboard$\n .pipe(\n filter(({ mode }) => mode === \"global\")\n )\n .subscribe(key => {\n switch (key.type) {\n\n /* Go to previous page */\n case \"p\":\n case \",\":\n const prev = getOptionalElement(\"[href][rel=prev]\")\n if (typeof prev !== \"undefined\")\n prev.click()\n break\n\n /* Go to next page */\n case \"n\":\n case \".\":\n const next = getOptionalElement(\"[href][rel=next]\")\n if (typeof next !== \"undefined\")\n next.click()\n break\n }\n })\n\n/* Set up patches */\npatchIndeterminate({ document$, tablet$ })\npatchScrollfix({ document$ })\npatchScrolllock({ viewport$, tablet$ })\n\n/* Set up header and main area observable */\nconst header$ = watchHeader(getComponentElement(\"header\"), { viewport$ })\nconst main$ = document$\n .pipe(\n map(() => getComponentElement(\"main\")),\n switchMap(el => watchMain(el, { viewport$, header$ })),\n shareReplay(1)\n )\n\n/* Set up control component observables */\nconst control$ = merge(\n\n /* Consent */\n ...getComponentElements(\"consent\")\n .map(el => mountConsent(el, { target$ })),\n\n /* Dialog */\n ...getComponentElements(\"dialog\")\n .map(el => mountDialog(el, { alert$ })),\n\n /* Header */\n ...getComponentElements(\"header\")\n .map(el => mountHeader(el, { viewport$, header$, main$ })),\n\n /* Color palette */\n ...getComponentElements(\"palette\")\n .map(el => mountPalette(el)),\n\n /* Search */\n ...getComponentElements(\"search\")\n .map(el => mountSearch(el, { index$, keyboard$ })),\n\n /* Repository information */\n ...getComponentElements(\"source\")\n .map(el => mountSource(el))\n)\n\n/* Set up content component observables */\nconst content$ = defer(() => merge(\n\n /* Announcement bar */\n ...getComponentElements(\"announce\")\n .map(el => mountAnnounce(el)),\n\n /* Content */\n ...getComponentElements(\"content\")\n .map(el => mountContent(el, { viewport$, target$, print$ })),\n\n /* Search highlighting */\n ...getComponentElements(\"content\")\n .map(el => feature(\"search.highlight\")\n ? mountSearchHiglight(el, { index$, location$ })\n : EMPTY\n ),\n\n /* Header title */\n ...getComponentElements(\"header-title\")\n .map(el => mountHeaderTitle(el, { viewport$, header$ })),\n\n /* Sidebar */\n ...getComponentElements(\"sidebar\")\n .map(el => el.getAttribute(\"data-md-type\") === \"navigation\"\n ? at(screen$, () => mountSidebar(el, { viewport$, header$, main$ }))\n : at(tablet$, () => mountSidebar(el, { viewport$, header$, main$ }))\n ),\n\n /* Navigation tabs */\n ...getComponentElements(\"tabs\")\n .map(el => mountTabs(el, { viewport$, header$ })),\n\n /* Table of contents */\n ...getComponentElements(\"toc\")\n .map(el => mountTableOfContents(el, { viewport$, header$, target$ })),\n\n /* Back-to-top button */\n ...getComponentElements(\"top\")\n .map(el => mountBackToTop(el, { viewport$, header$, main$, target$ }))\n))\n\n/* Set up component observables */\nconst component$ = document$\n .pipe(\n switchMap(() => content$),\n mergeWith(control$),\n shareReplay(1)\n )\n\n/* Subscribe to all components */\ncomponent$.subscribe()\n\n/* ----------------------------------------------------------------------------\n * Exports\n * ------------------------------------------------------------------------- */\n\nwindow.document$ = document$ /* Document observable */\nwindow.location$ = location$ /* Location subject */\nwindow.target$ = target$ /* Location target observable */\nwindow.keyboard$ = keyboard$ /* Keyboard observable */\nwindow.viewport$ = viewport$ /* Viewport observable */\nwindow.tablet$ = tablet$ /* Media tablet observable */\nwindow.screen$ = screen$ /* Media screen observable */\nwindow.print$ = print$ /* Media print observable */\nwindow.alert$ = alert$ /* Alert subject */\nwindow.component$ = component$ /* Component observable */\n", "self.fetch||(self.fetch=function(e,n){return n=n||{},new Promise(function(t,s){var r=new XMLHttpRequest,o=[],u=[],i={},a=function(){return{ok:2==(r.status/100|0),statusText:r.statusText,status:r.status,url:r.responseURL,text:function(){return Promise.resolve(r.responseText)},json:function(){return Promise.resolve(r.responseText).then(JSON.parse)},blob:function(){return Promise.resolve(new Blob([r.response]))},clone:a,headers:{keys:function(){return o},entries:function(){return u},get:function(e){return i[e.toLowerCase()]},has:function(e){return e.toLowerCase()in i}}}};for(var c in r.open(n.method||\"get\",e,!0),r.onload=function(){r.getAllResponseHeaders().replace(/^(.*?):[^\\S\\n]*([\\s\\S]*?)$/gm,function(e,n,t){o.push(n=n.toLowerCase()),u.push([n,t]),i[n]=i[n]?i[n]+\",\"+t:t}),t(a())},r.onerror=s,r.withCredentials=\"include\"==n.credentials,n.headers)r.setRequestHeader(c,n.headers[c]);r.send(n.body||null)})});\n", "import tslib from '../tslib.js';\r\nconst {\r\n __extends,\r\n __assign,\r\n __rest,\r\n __decorate,\r\n __param,\r\n __metadata,\r\n __awaiter,\r\n __generator,\r\n __exportStar,\r\n __createBinding,\r\n __values,\r\n __read,\r\n __spread,\r\n __spreadArrays,\r\n __spreadArray,\r\n __await,\r\n __asyncGenerator,\r\n __asyncDelegator,\r\n __asyncValues,\r\n __makeTemplateObject,\r\n __importStar,\r\n __importDefault,\r\n __classPrivateFieldGet,\r\n __classPrivateFieldSet,\r\n} = tslib;\r\nexport {\r\n __extends,\r\n __assign,\r\n __rest,\r\n __decorate,\r\n __param,\r\n __metadata,\r\n __awaiter,\r\n __generator,\r\n __exportStar,\r\n __createBinding,\r\n __values,\r\n __read,\r\n __spread,\r\n __spreadArrays,\r\n __spreadArray,\r\n __await,\r\n __asyncGenerator,\r\n __asyncDelegator,\r\n __asyncValues,\r\n __makeTemplateObject,\r\n __importStar,\r\n __importDefault,\r\n __classPrivateFieldGet,\r\n __classPrivateFieldSet,\r\n};\r\n", null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n ReplaySubject,\n Subject,\n fromEvent\n} from \"rxjs\"\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch document\n *\n * Documents are implemented as subjects, so all downstream observables are\n * automatically updated when a new document is emitted.\n *\n * @returns Document subject\n */\nexport function watchDocument(): Subject {\n const document$ = new ReplaySubject(1)\n fromEvent(document, \"DOMContentLoaded\", { once: true })\n .subscribe(() => document$.next(document))\n\n /* Return document */\n return document$\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Retrieve all elements matching the query selector\n *\n * @template T - Element type\n *\n * @param selector - Query selector\n * @param node - Node of reference\n *\n * @returns Elements\n */\nexport function getElements(\n selector: T, node?: ParentNode\n): HTMLElementTagNameMap[T][]\n\nexport function getElements(\n selector: string, node?: ParentNode\n): T[]\n\nexport function getElements(\n selector: string, node: ParentNode = document\n): T[] {\n return Array.from(node.querySelectorAll(selector))\n}\n\n/**\n * Retrieve an element matching a query selector or throw a reference error\n *\n * Note that this function assumes that the element is present. If unsure if an\n * element is existent, use the `getOptionalElement` function instead.\n *\n * @template T - Element type\n *\n * @param selector - Query selector\n * @param node - Node of reference\n *\n * @returns Element\n */\nexport function getElement(\n selector: T, node?: ParentNode\n): HTMLElementTagNameMap[T]\n\nexport function getElement(\n selector: string, node?: ParentNode\n): T\n\nexport function getElement(\n selector: string, node: ParentNode = document\n): T {\n const el = getOptionalElement(selector, node)\n if (typeof el === \"undefined\")\n throw new ReferenceError(\n `Missing element: expected \"${selector}\" to be present`\n )\n\n /* Return element */\n return el\n}\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Retrieve an optional element matching the query selector\n *\n * @template T - Element type\n *\n * @param selector - Query selector\n * @param node - Node of reference\n *\n * @returns Element or nothing\n */\nexport function getOptionalElement(\n selector: T, node?: ParentNode\n): HTMLElementTagNameMap[T] | undefined\n\nexport function getOptionalElement(\n selector: string, node?: ParentNode\n): T | undefined\n\nexport function getOptionalElement(\n selector: string, node: ParentNode = document\n): T | undefined {\n return node.querySelector(selector) || undefined\n}\n\n/**\n * Retrieve the currently active element\n *\n * @returns Element or nothing\n */\nexport function getActiveElement(): HTMLElement | undefined {\n return document.activeElement instanceof HTMLElement\n ? document.activeElement || undefined\n : undefined\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n Observable,\n debounceTime,\n distinctUntilChanged,\n fromEvent,\n map,\n merge,\n startWith\n} from \"rxjs\"\n\nimport { getActiveElement } from \"../_\"\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch element focus\n *\n * Previously, this function used `focus` and `blur` events to determine whether\n * an element is focused, but this doesn't work if there are focusable elements\n * within the elements itself. A better solutions are `focusin` and `focusout`\n * events, which bubble up the tree and allow for more fine-grained control.\n *\n * `debounceTime` is necessary, because when a focus change happens inside an\n * element, the observable would first emit `false` and then `true` again.\n *\n * @param el - Element\n *\n * @returns Element focus observable\n */\nexport function watchElementFocus(\n el: HTMLElement\n): Observable {\n return merge(\n fromEvent(document.body, \"focusin\"),\n fromEvent(document.body, \"focusout\")\n )\n .pipe(\n debounceTime(1),\n map(() => {\n const active = getActiveElement()\n return typeof active !== \"undefined\"\n ? el.contains(active)\n : false\n }),\n startWith(el === getActiveElement()),\n distinctUntilChanged()\n )\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n Observable,\n animationFrameScheduler,\n auditTime,\n fromEvent,\n map,\n merge,\n startWith\n} from \"rxjs\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Element offset\n */\nexport interface ElementOffset {\n x: number /* Horizontal offset */\n y: number /* Vertical offset */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Retrieve element offset\n *\n * @param el - Element\n *\n * @returns Element offset\n */\nexport function getElementOffset(\n el: HTMLElement\n): ElementOffset {\n return {\n x: el.offsetLeft,\n y: el.offsetTop\n }\n}\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Watch element offset\n *\n * @param el - Element\n *\n * @returns Element offset observable\n */\nexport function watchElementOffset(\n el: HTMLElement\n): Observable {\n return merge(\n fromEvent(window, \"load\"),\n fromEvent(window, \"resize\")\n )\n .pipe(\n auditTime(0, animationFrameScheduler),\n map(() => getElementOffset(el)),\n startWith(getElementOffset(el))\n )\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n Observable,\n animationFrameScheduler,\n auditTime,\n fromEvent,\n map,\n merge,\n startWith\n} from \"rxjs\"\n\nimport { ElementOffset } from \"../_\"\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Retrieve element content offset (= scroll offset)\n *\n * @param el - Element\n *\n * @returns Element content offset\n */\nexport function getElementContentOffset(\n el: HTMLElement\n): ElementOffset {\n return {\n x: el.scrollLeft,\n y: el.scrollTop\n }\n}\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Watch element content offset\n *\n * @param el - Element\n *\n * @returns Element content offset observable\n */\nexport function watchElementContentOffset(\n el: HTMLElement\n): Observable {\n return merge(\n fromEvent(el, \"scroll\"),\n fromEvent(window, \"resize\")\n )\n .pipe(\n auditTime(0, animationFrameScheduler),\n map(() => getElementContentOffset(el)),\n startWith(getElementContentOffset(el))\n )\n}\n", "/**\r\n * A collection of shims that provide minimal functionality of the ES6 collections.\r\n *\r\n * These implementations are not meant to be used outside of the ResizeObserver\r\n * modules as they cover only a limited range of use cases.\r\n */\r\n/* eslint-disable require-jsdoc, valid-jsdoc */\r\nvar MapShim = (function () {\r\n if (typeof Map !== 'undefined') {\r\n return Map;\r\n }\r\n /**\r\n * Returns index in provided array that matches the specified key.\r\n *\r\n * @param {Array} arr\r\n * @param {*} key\r\n * @returns {number}\r\n */\r\n function getIndex(arr, key) {\r\n var result = -1;\r\n arr.some(function (entry, index) {\r\n if (entry[0] === key) {\r\n result = index;\r\n return true;\r\n }\r\n return false;\r\n });\r\n return result;\r\n }\r\n return /** @class */ (function () {\r\n function class_1() {\r\n this.__entries__ = [];\r\n }\r\n Object.defineProperty(class_1.prototype, \"size\", {\r\n /**\r\n * @returns {boolean}\r\n */\r\n get: function () {\r\n return this.__entries__.length;\r\n },\r\n enumerable: true,\r\n configurable: true\r\n });\r\n /**\r\n * @param {*} key\r\n * @returns {*}\r\n */\r\n class_1.prototype.get = function (key) {\r\n var index = getIndex(this.__entries__, key);\r\n var entry = this.__entries__[index];\r\n return entry && entry[1];\r\n };\r\n /**\r\n * @param {*} key\r\n * @param {*} value\r\n * @returns {void}\r\n */\r\n class_1.prototype.set = function (key, value) {\r\n var index = getIndex(this.__entries__, key);\r\n if (~index) {\r\n this.__entries__[index][1] = value;\r\n }\r\n else {\r\n this.__entries__.push([key, value]);\r\n }\r\n };\r\n /**\r\n * @param {*} key\r\n * @returns {void}\r\n */\r\n class_1.prototype.delete = function (key) {\r\n var entries = this.__entries__;\r\n var index = getIndex(entries, key);\r\n if (~index) {\r\n entries.splice(index, 1);\r\n }\r\n };\r\n /**\r\n * @param {*} key\r\n * @returns {void}\r\n */\r\n class_1.prototype.has = function (key) {\r\n return !!~getIndex(this.__entries__, key);\r\n };\r\n /**\r\n * @returns {void}\r\n */\r\n class_1.prototype.clear = function () {\r\n this.__entries__.splice(0);\r\n };\r\n /**\r\n * @param {Function} callback\r\n * @param {*} [ctx=null]\r\n * @returns {void}\r\n */\r\n class_1.prototype.forEach = function (callback, ctx) {\r\n if (ctx === void 0) { ctx = null; }\r\n for (var _i = 0, _a = this.__entries__; _i < _a.length; _i++) {\r\n var entry = _a[_i];\r\n callback.call(ctx, entry[1], entry[0]);\r\n }\r\n };\r\n return class_1;\r\n }());\r\n})();\n\n/**\r\n * Detects whether window and document objects are available in current environment.\r\n */\r\nvar isBrowser = typeof window !== 'undefined' && typeof document !== 'undefined' && window.document === document;\n\n// Returns global object of a current environment.\r\nvar global$1 = (function () {\r\n if (typeof global !== 'undefined' && global.Math === Math) {\r\n return global;\r\n }\r\n if (typeof self !== 'undefined' && self.Math === Math) {\r\n return self;\r\n }\r\n if (typeof window !== 'undefined' && window.Math === Math) {\r\n return window;\r\n }\r\n // eslint-disable-next-line no-new-func\r\n return Function('return this')();\r\n})();\n\n/**\r\n * A shim for the requestAnimationFrame which falls back to the setTimeout if\r\n * first one is not supported.\r\n *\r\n * @returns {number} Requests' identifier.\r\n */\r\nvar requestAnimationFrame$1 = (function () {\r\n if (typeof requestAnimationFrame === 'function') {\r\n // It's required to use a bounded function because IE sometimes throws\r\n // an \"Invalid calling object\" error if rAF is invoked without the global\r\n // object on the left hand side.\r\n return requestAnimationFrame.bind(global$1);\r\n }\r\n return function (callback) { return setTimeout(function () { return callback(Date.now()); }, 1000 / 60); };\r\n})();\n\n// Defines minimum timeout before adding a trailing call.\r\nvar trailingTimeout = 2;\r\n/**\r\n * Creates a wrapper function which ensures that provided callback will be\r\n * invoked only once during the specified delay period.\r\n *\r\n * @param {Function} callback - Function to be invoked after the delay period.\r\n * @param {number} delay - Delay after which to invoke callback.\r\n * @returns {Function}\r\n */\r\nfunction throttle (callback, delay) {\r\n var leadingCall = false, trailingCall = false, lastCallTime = 0;\r\n /**\r\n * Invokes the original callback function and schedules new invocation if\r\n * the \"proxy\" was called during current request.\r\n *\r\n * @returns {void}\r\n */\r\n function resolvePending() {\r\n if (leadingCall) {\r\n leadingCall = false;\r\n callback();\r\n }\r\n if (trailingCall) {\r\n proxy();\r\n }\r\n }\r\n /**\r\n * Callback invoked after the specified delay. It will further postpone\r\n * invocation of the original function delegating it to the\r\n * requestAnimationFrame.\r\n *\r\n * @returns {void}\r\n */\r\n function timeoutCallback() {\r\n requestAnimationFrame$1(resolvePending);\r\n }\r\n /**\r\n * Schedules invocation of the original function.\r\n *\r\n * @returns {void}\r\n */\r\n function proxy() {\r\n var timeStamp = Date.now();\r\n if (leadingCall) {\r\n // Reject immediately following calls.\r\n if (timeStamp - lastCallTime < trailingTimeout) {\r\n return;\r\n }\r\n // Schedule new call to be in invoked when the pending one is resolved.\r\n // This is important for \"transitions\" which never actually start\r\n // immediately so there is a chance that we might miss one if change\r\n // happens amids the pending invocation.\r\n trailingCall = true;\r\n }\r\n else {\r\n leadingCall = true;\r\n trailingCall = false;\r\n setTimeout(timeoutCallback, delay);\r\n }\r\n lastCallTime = timeStamp;\r\n }\r\n return proxy;\r\n}\n\n// Minimum delay before invoking the update of observers.\r\nvar REFRESH_DELAY = 20;\r\n// A list of substrings of CSS properties used to find transition events that\r\n// might affect dimensions of observed elements.\r\nvar transitionKeys = ['top', 'right', 'bottom', 'left', 'width', 'height', 'size', 'weight'];\r\n// Check if MutationObserver is available.\r\nvar mutationObserverSupported = typeof MutationObserver !== 'undefined';\r\n/**\r\n * Singleton controller class which handles updates of ResizeObserver instances.\r\n */\r\nvar ResizeObserverController = /** @class */ (function () {\r\n /**\r\n * Creates a new instance of ResizeObserverController.\r\n *\r\n * @private\r\n */\r\n function ResizeObserverController() {\r\n /**\r\n * Indicates whether DOM listeners have been added.\r\n *\r\n * @private {boolean}\r\n */\r\n this.connected_ = false;\r\n /**\r\n * Tells that controller has subscribed for Mutation Events.\r\n *\r\n * @private {boolean}\r\n */\r\n this.mutationEventsAdded_ = false;\r\n /**\r\n * Keeps reference to the instance of MutationObserver.\r\n *\r\n * @private {MutationObserver}\r\n */\r\n this.mutationsObserver_ = null;\r\n /**\r\n * A list of connected observers.\r\n *\r\n * @private {Array}\r\n */\r\n this.observers_ = [];\r\n this.onTransitionEnd_ = this.onTransitionEnd_.bind(this);\r\n this.refresh = throttle(this.refresh.bind(this), REFRESH_DELAY);\r\n }\r\n /**\r\n * Adds observer to observers list.\r\n *\r\n * @param {ResizeObserverSPI} observer - Observer to be added.\r\n * @returns {void}\r\n */\r\n ResizeObserverController.prototype.addObserver = function (observer) {\r\n if (!~this.observers_.indexOf(observer)) {\r\n this.observers_.push(observer);\r\n }\r\n // Add listeners if they haven't been added yet.\r\n if (!this.connected_) {\r\n this.connect_();\r\n }\r\n };\r\n /**\r\n * Removes observer from observers list.\r\n *\r\n * @param {ResizeObserverSPI} observer - Observer to be removed.\r\n * @returns {void}\r\n */\r\n ResizeObserverController.prototype.removeObserver = function (observer) {\r\n var observers = this.observers_;\r\n var index = observers.indexOf(observer);\r\n // Remove observer if it's present in registry.\r\n if (~index) {\r\n observers.splice(index, 1);\r\n }\r\n // Remove listeners if controller has no connected observers.\r\n if (!observers.length && this.connected_) {\r\n this.disconnect_();\r\n }\r\n };\r\n /**\r\n * Invokes the update of observers. It will continue running updates insofar\r\n * it detects changes.\r\n *\r\n * @returns {void}\r\n */\r\n ResizeObserverController.prototype.refresh = function () {\r\n var changesDetected = this.updateObservers_();\r\n // Continue running updates if changes have been detected as there might\r\n // be future ones caused by CSS transitions.\r\n if (changesDetected) {\r\n this.refresh();\r\n }\r\n };\r\n /**\r\n * Updates every observer from observers list and notifies them of queued\r\n * entries.\r\n *\r\n * @private\r\n * @returns {boolean} Returns \"true\" if any observer has detected changes in\r\n * dimensions of it's elements.\r\n */\r\n ResizeObserverController.prototype.updateObservers_ = function () {\r\n // Collect observers that have active observations.\r\n var activeObservers = this.observers_.filter(function (observer) {\r\n return observer.gatherActive(), observer.hasActive();\r\n });\r\n // Deliver notifications in a separate cycle in order to avoid any\r\n // collisions between observers, e.g. when multiple instances of\r\n // ResizeObserver are tracking the same element and the callback of one\r\n // of them changes content dimensions of the observed target. Sometimes\r\n // this may result in notifications being blocked for the rest of observers.\r\n activeObservers.forEach(function (observer) { return observer.broadcastActive(); });\r\n return activeObservers.length > 0;\r\n };\r\n /**\r\n * Initializes DOM listeners.\r\n *\r\n * @private\r\n * @returns {void}\r\n */\r\n ResizeObserverController.prototype.connect_ = function () {\r\n // Do nothing if running in a non-browser environment or if listeners\r\n // have been already added.\r\n if (!isBrowser || this.connected_) {\r\n return;\r\n }\r\n // Subscription to the \"Transitionend\" event is used as a workaround for\r\n // delayed transitions. This way it's possible to capture at least the\r\n // final state of an element.\r\n document.addEventListener('transitionend', this.onTransitionEnd_);\r\n window.addEventListener('resize', this.refresh);\r\n if (mutationObserverSupported) {\r\n this.mutationsObserver_ = new MutationObserver(this.refresh);\r\n this.mutationsObserver_.observe(document, {\r\n attributes: true,\r\n childList: true,\r\n characterData: true,\r\n subtree: true\r\n });\r\n }\r\n else {\r\n document.addEventListener('DOMSubtreeModified', this.refresh);\r\n this.mutationEventsAdded_ = true;\r\n }\r\n this.connected_ = true;\r\n };\r\n /**\r\n * Removes DOM listeners.\r\n *\r\n * @private\r\n * @returns {void}\r\n */\r\n ResizeObserverController.prototype.disconnect_ = function () {\r\n // Do nothing if running in a non-browser environment or if listeners\r\n // have been already removed.\r\n if (!isBrowser || !this.connected_) {\r\n return;\r\n }\r\n document.removeEventListener('transitionend', this.onTransitionEnd_);\r\n window.removeEventListener('resize', this.refresh);\r\n if (this.mutationsObserver_) {\r\n this.mutationsObserver_.disconnect();\r\n }\r\n if (this.mutationEventsAdded_) {\r\n document.removeEventListener('DOMSubtreeModified', this.refresh);\r\n }\r\n this.mutationsObserver_ = null;\r\n this.mutationEventsAdded_ = false;\r\n this.connected_ = false;\r\n };\r\n /**\r\n * \"Transitionend\" event handler.\r\n *\r\n * @private\r\n * @param {TransitionEvent} event\r\n * @returns {void}\r\n */\r\n ResizeObserverController.prototype.onTransitionEnd_ = function (_a) {\r\n var _b = _a.propertyName, propertyName = _b === void 0 ? '' : _b;\r\n // Detect whether transition may affect dimensions of an element.\r\n var isReflowProperty = transitionKeys.some(function (key) {\r\n return !!~propertyName.indexOf(key);\r\n });\r\n if (isReflowProperty) {\r\n this.refresh();\r\n }\r\n };\r\n /**\r\n * Returns instance of the ResizeObserverController.\r\n *\r\n * @returns {ResizeObserverController}\r\n */\r\n ResizeObserverController.getInstance = function () {\r\n if (!this.instance_) {\r\n this.instance_ = new ResizeObserverController();\r\n }\r\n return this.instance_;\r\n };\r\n /**\r\n * Holds reference to the controller's instance.\r\n *\r\n * @private {ResizeObserverController}\r\n */\r\n ResizeObserverController.instance_ = null;\r\n return ResizeObserverController;\r\n}());\n\n/**\r\n * Defines non-writable/enumerable properties of the provided target object.\r\n *\r\n * @param {Object} target - Object for which to define properties.\r\n * @param {Object} props - Properties to be defined.\r\n * @returns {Object} Target object.\r\n */\r\nvar defineConfigurable = (function (target, props) {\r\n for (var _i = 0, _a = Object.keys(props); _i < _a.length; _i++) {\r\n var key = _a[_i];\r\n Object.defineProperty(target, key, {\r\n value: props[key],\r\n enumerable: false,\r\n writable: false,\r\n configurable: true\r\n });\r\n }\r\n return target;\r\n});\n\n/**\r\n * Returns the global object associated with provided element.\r\n *\r\n * @param {Object} target\r\n * @returns {Object}\r\n */\r\nvar getWindowOf = (function (target) {\r\n // Assume that the element is an instance of Node, which means that it\r\n // has the \"ownerDocument\" property from which we can retrieve a\r\n // corresponding global object.\r\n var ownerGlobal = target && target.ownerDocument && target.ownerDocument.defaultView;\r\n // Return the local global object if it's not possible extract one from\r\n // provided element.\r\n return ownerGlobal || global$1;\r\n});\n\n// Placeholder of an empty content rectangle.\r\nvar emptyRect = createRectInit(0, 0, 0, 0);\r\n/**\r\n * Converts provided string to a number.\r\n *\r\n * @param {number|string} value\r\n * @returns {number}\r\n */\r\nfunction toFloat(value) {\r\n return parseFloat(value) || 0;\r\n}\r\n/**\r\n * Extracts borders size from provided styles.\r\n *\r\n * @param {CSSStyleDeclaration} styles\r\n * @param {...string} positions - Borders positions (top, right, ...)\r\n * @returns {number}\r\n */\r\nfunction getBordersSize(styles) {\r\n var positions = [];\r\n for (var _i = 1; _i < arguments.length; _i++) {\r\n positions[_i - 1] = arguments[_i];\r\n }\r\n return positions.reduce(function (size, position) {\r\n var value = styles['border-' + position + '-width'];\r\n return size + toFloat(value);\r\n }, 0);\r\n}\r\n/**\r\n * Extracts paddings sizes from provided styles.\r\n *\r\n * @param {CSSStyleDeclaration} styles\r\n * @returns {Object} Paddings box.\r\n */\r\nfunction getPaddings(styles) {\r\n var positions = ['top', 'right', 'bottom', 'left'];\r\n var paddings = {};\r\n for (var _i = 0, positions_1 = positions; _i < positions_1.length; _i++) {\r\n var position = positions_1[_i];\r\n var value = styles['padding-' + position];\r\n paddings[position] = toFloat(value);\r\n }\r\n return paddings;\r\n}\r\n/**\r\n * Calculates content rectangle of provided SVG element.\r\n *\r\n * @param {SVGGraphicsElement} target - Element content rectangle of which needs\r\n * to be calculated.\r\n * @returns {DOMRectInit}\r\n */\r\nfunction getSVGContentRect(target) {\r\n var bbox = target.getBBox();\r\n return createRectInit(0, 0, bbox.width, bbox.height);\r\n}\r\n/**\r\n * Calculates content rectangle of provided HTMLElement.\r\n *\r\n * @param {HTMLElement} target - Element for which to calculate the content rectangle.\r\n * @returns {DOMRectInit}\r\n */\r\nfunction getHTMLElementContentRect(target) {\r\n // Client width & height properties can't be\r\n // used exclusively as they provide rounded values.\r\n var clientWidth = target.clientWidth, clientHeight = target.clientHeight;\r\n // By this condition we can catch all non-replaced inline, hidden and\r\n // detached elements. Though elements with width & height properties less\r\n // than 0.5 will be discarded as well.\r\n //\r\n // Without it we would need to implement separate methods for each of\r\n // those cases and it's not possible to perform a precise and performance\r\n // effective test for hidden elements. E.g. even jQuery's ':visible' filter\r\n // gives wrong results for elements with width & height less than 0.5.\r\n if (!clientWidth && !clientHeight) {\r\n return emptyRect;\r\n }\r\n var styles = getWindowOf(target).getComputedStyle(target);\r\n var paddings = getPaddings(styles);\r\n var horizPad = paddings.left + paddings.right;\r\n var vertPad = paddings.top + paddings.bottom;\r\n // Computed styles of width & height are being used because they are the\r\n // only dimensions available to JS that contain non-rounded values. It could\r\n // be possible to utilize the getBoundingClientRect if only it's data wasn't\r\n // affected by CSS transformations let alone paddings, borders and scroll bars.\r\n var width = toFloat(styles.width), height = toFloat(styles.height);\r\n // Width & height include paddings and borders when the 'border-box' box\r\n // model is applied (except for IE).\r\n if (styles.boxSizing === 'border-box') {\r\n // Following conditions are required to handle Internet Explorer which\r\n // doesn't include paddings and borders to computed CSS dimensions.\r\n //\r\n // We can say that if CSS dimensions + paddings are equal to the \"client\"\r\n // properties then it's either IE, and thus we don't need to subtract\r\n // anything, or an element merely doesn't have paddings/borders styles.\r\n if (Math.round(width + horizPad) !== clientWidth) {\r\n width -= getBordersSize(styles, 'left', 'right') + horizPad;\r\n }\r\n if (Math.round(height + vertPad) !== clientHeight) {\r\n height -= getBordersSize(styles, 'top', 'bottom') + vertPad;\r\n }\r\n }\r\n // Following steps can't be applied to the document's root element as its\r\n // client[Width/Height] properties represent viewport area of the window.\r\n // Besides, it's as well not necessary as the itself neither has\r\n // rendered scroll bars nor it can be clipped.\r\n if (!isDocumentElement(target)) {\r\n // In some browsers (only in Firefox, actually) CSS width & height\r\n // include scroll bars size which can be removed at this step as scroll\r\n // bars are the only difference between rounded dimensions + paddings\r\n // and \"client\" properties, though that is not always true in Chrome.\r\n var vertScrollbar = Math.round(width + horizPad) - clientWidth;\r\n var horizScrollbar = Math.round(height + vertPad) - clientHeight;\r\n // Chrome has a rather weird rounding of \"client\" properties.\r\n // E.g. for an element with content width of 314.2px it sometimes gives\r\n // the client width of 315px and for the width of 314.7px it may give\r\n // 314px. And it doesn't happen all the time. So just ignore this delta\r\n // as a non-relevant.\r\n if (Math.abs(vertScrollbar) !== 1) {\r\n width -= vertScrollbar;\r\n }\r\n if (Math.abs(horizScrollbar) !== 1) {\r\n height -= horizScrollbar;\r\n }\r\n }\r\n return createRectInit(paddings.left, paddings.top, width, height);\r\n}\r\n/**\r\n * Checks whether provided element is an instance of the SVGGraphicsElement.\r\n *\r\n * @param {Element} target - Element to be checked.\r\n * @returns {boolean}\r\n */\r\nvar isSVGGraphicsElement = (function () {\r\n // Some browsers, namely IE and Edge, don't have the SVGGraphicsElement\r\n // interface.\r\n if (typeof SVGGraphicsElement !== 'undefined') {\r\n return function (target) { return target instanceof getWindowOf(target).SVGGraphicsElement; };\r\n }\r\n // If it's so, then check that element is at least an instance of the\r\n // SVGElement and that it has the \"getBBox\" method.\r\n // eslint-disable-next-line no-extra-parens\r\n return function (target) { return (target instanceof getWindowOf(target).SVGElement &&\r\n typeof target.getBBox === 'function'); };\r\n})();\r\n/**\r\n * Checks whether provided element is a document element ().\r\n *\r\n * @param {Element} target - Element to be checked.\r\n * @returns {boolean}\r\n */\r\nfunction isDocumentElement(target) {\r\n return target === getWindowOf(target).document.documentElement;\r\n}\r\n/**\r\n * Calculates an appropriate content rectangle for provided html or svg element.\r\n *\r\n * @param {Element} target - Element content rectangle of which needs to be calculated.\r\n * @returns {DOMRectInit}\r\n */\r\nfunction getContentRect(target) {\r\n if (!isBrowser) {\r\n return emptyRect;\r\n }\r\n if (isSVGGraphicsElement(target)) {\r\n return getSVGContentRect(target);\r\n }\r\n return getHTMLElementContentRect(target);\r\n}\r\n/**\r\n * Creates rectangle with an interface of the DOMRectReadOnly.\r\n * Spec: https://drafts.fxtf.org/geometry/#domrectreadonly\r\n *\r\n * @param {DOMRectInit} rectInit - Object with rectangle's x/y coordinates and dimensions.\r\n * @returns {DOMRectReadOnly}\r\n */\r\nfunction createReadOnlyRect(_a) {\r\n var x = _a.x, y = _a.y, width = _a.width, height = _a.height;\r\n // If DOMRectReadOnly is available use it as a prototype for the rectangle.\r\n var Constr = typeof DOMRectReadOnly !== 'undefined' ? DOMRectReadOnly : Object;\r\n var rect = Object.create(Constr.prototype);\r\n // Rectangle's properties are not writable and non-enumerable.\r\n defineConfigurable(rect, {\r\n x: x, y: y, width: width, height: height,\r\n top: y,\r\n right: x + width,\r\n bottom: height + y,\r\n left: x\r\n });\r\n return rect;\r\n}\r\n/**\r\n * Creates DOMRectInit object based on the provided dimensions and the x/y coordinates.\r\n * Spec: https://drafts.fxtf.org/geometry/#dictdef-domrectinit\r\n *\r\n * @param {number} x - X coordinate.\r\n * @param {number} y - Y coordinate.\r\n * @param {number} width - Rectangle's width.\r\n * @param {number} height - Rectangle's height.\r\n * @returns {DOMRectInit}\r\n */\r\nfunction createRectInit(x, y, width, height) {\r\n return { x: x, y: y, width: width, height: height };\r\n}\n\n/**\r\n * Class that is responsible for computations of the content rectangle of\r\n * provided DOM element and for keeping track of it's changes.\r\n */\r\nvar ResizeObservation = /** @class */ (function () {\r\n /**\r\n * Creates an instance of ResizeObservation.\r\n *\r\n * @param {Element} target - Element to be observed.\r\n */\r\n function ResizeObservation(target) {\r\n /**\r\n * Broadcasted width of content rectangle.\r\n *\r\n * @type {number}\r\n */\r\n this.broadcastWidth = 0;\r\n /**\r\n * Broadcasted height of content rectangle.\r\n *\r\n * @type {number}\r\n */\r\n this.broadcastHeight = 0;\r\n /**\r\n * Reference to the last observed content rectangle.\r\n *\r\n * @private {DOMRectInit}\r\n */\r\n this.contentRect_ = createRectInit(0, 0, 0, 0);\r\n this.target = target;\r\n }\r\n /**\r\n * Updates content rectangle and tells whether it's width or height properties\r\n * have changed since the last broadcast.\r\n *\r\n * @returns {boolean}\r\n */\r\n ResizeObservation.prototype.isActive = function () {\r\n var rect = getContentRect(this.target);\r\n this.contentRect_ = rect;\r\n return (rect.width !== this.broadcastWidth ||\r\n rect.height !== this.broadcastHeight);\r\n };\r\n /**\r\n * Updates 'broadcastWidth' and 'broadcastHeight' properties with a data\r\n * from the corresponding properties of the last observed content rectangle.\r\n *\r\n * @returns {DOMRectInit} Last observed content rectangle.\r\n */\r\n ResizeObservation.prototype.broadcastRect = function () {\r\n var rect = this.contentRect_;\r\n this.broadcastWidth = rect.width;\r\n this.broadcastHeight = rect.height;\r\n return rect;\r\n };\r\n return ResizeObservation;\r\n}());\n\nvar ResizeObserverEntry = /** @class */ (function () {\r\n /**\r\n * Creates an instance of ResizeObserverEntry.\r\n *\r\n * @param {Element} target - Element that is being observed.\r\n * @param {DOMRectInit} rectInit - Data of the element's content rectangle.\r\n */\r\n function ResizeObserverEntry(target, rectInit) {\r\n var contentRect = createReadOnlyRect(rectInit);\r\n // According to the specification following properties are not writable\r\n // and are also not enumerable in the native implementation.\r\n //\r\n // Property accessors are not being used as they'd require to define a\r\n // private WeakMap storage which may cause memory leaks in browsers that\r\n // don't support this type of collections.\r\n defineConfigurable(this, { target: target, contentRect: contentRect });\r\n }\r\n return ResizeObserverEntry;\r\n}());\n\nvar ResizeObserverSPI = /** @class */ (function () {\r\n /**\r\n * Creates a new instance of ResizeObserver.\r\n *\r\n * @param {ResizeObserverCallback} callback - Callback function that is invoked\r\n * when one of the observed elements changes it's content dimensions.\r\n * @param {ResizeObserverController} controller - Controller instance which\r\n * is responsible for the updates of observer.\r\n * @param {ResizeObserver} callbackCtx - Reference to the public\r\n * ResizeObserver instance which will be passed to callback function.\r\n */\r\n function ResizeObserverSPI(callback, controller, callbackCtx) {\r\n /**\r\n * Collection of resize observations that have detected changes in dimensions\r\n * of elements.\r\n *\r\n * @private {Array}\r\n */\r\n this.activeObservations_ = [];\r\n /**\r\n * Registry of the ResizeObservation instances.\r\n *\r\n * @private {Map}\r\n */\r\n this.observations_ = new MapShim();\r\n if (typeof callback !== 'function') {\r\n throw new TypeError('The callback provided as parameter 1 is not a function.');\r\n }\r\n this.callback_ = callback;\r\n this.controller_ = controller;\r\n this.callbackCtx_ = callbackCtx;\r\n }\r\n /**\r\n * Starts observing provided element.\r\n *\r\n * @param {Element} target - Element to be observed.\r\n * @returns {void}\r\n */\r\n ResizeObserverSPI.prototype.observe = function (target) {\r\n if (!arguments.length) {\r\n throw new TypeError('1 argument required, but only 0 present.');\r\n }\r\n // Do nothing if current environment doesn't have the Element interface.\r\n if (typeof Element === 'undefined' || !(Element instanceof Object)) {\r\n return;\r\n }\r\n if (!(target instanceof getWindowOf(target).Element)) {\r\n throw new TypeError('parameter 1 is not of type \"Element\".');\r\n }\r\n var observations = this.observations_;\r\n // Do nothing if element is already being observed.\r\n if (observations.has(target)) {\r\n return;\r\n }\r\n observations.set(target, new ResizeObservation(target));\r\n this.controller_.addObserver(this);\r\n // Force the update of observations.\r\n this.controller_.refresh();\r\n };\r\n /**\r\n * Stops observing provided element.\r\n *\r\n * @param {Element} target - Element to stop observing.\r\n * @returns {void}\r\n */\r\n ResizeObserverSPI.prototype.unobserve = function (target) {\r\n if (!arguments.length) {\r\n throw new TypeError('1 argument required, but only 0 present.');\r\n }\r\n // Do nothing if current environment doesn't have the Element interface.\r\n if (typeof Element === 'undefined' || !(Element instanceof Object)) {\r\n return;\r\n }\r\n if (!(target instanceof getWindowOf(target).Element)) {\r\n throw new TypeError('parameter 1 is not of type \"Element\".');\r\n }\r\n var observations = this.observations_;\r\n // Do nothing if element is not being observed.\r\n if (!observations.has(target)) {\r\n return;\r\n }\r\n observations.delete(target);\r\n if (!observations.size) {\r\n this.controller_.removeObserver(this);\r\n }\r\n };\r\n /**\r\n * Stops observing all elements.\r\n *\r\n * @returns {void}\r\n */\r\n ResizeObserverSPI.prototype.disconnect = function () {\r\n this.clearActive();\r\n this.observations_.clear();\r\n this.controller_.removeObserver(this);\r\n };\r\n /**\r\n * Collects observation instances the associated element of which has changed\r\n * it's content rectangle.\r\n *\r\n * @returns {void}\r\n */\r\n ResizeObserverSPI.prototype.gatherActive = function () {\r\n var _this = this;\r\n this.clearActive();\r\n this.observations_.forEach(function (observation) {\r\n if (observation.isActive()) {\r\n _this.activeObservations_.push(observation);\r\n }\r\n });\r\n };\r\n /**\r\n * Invokes initial callback function with a list of ResizeObserverEntry\r\n * instances collected from active resize observations.\r\n *\r\n * @returns {void}\r\n */\r\n ResizeObserverSPI.prototype.broadcastActive = function () {\r\n // Do nothing if observer doesn't have active observations.\r\n if (!this.hasActive()) {\r\n return;\r\n }\r\n var ctx = this.callbackCtx_;\r\n // Create ResizeObserverEntry instance for every active observation.\r\n var entries = this.activeObservations_.map(function (observation) {\r\n return new ResizeObserverEntry(observation.target, observation.broadcastRect());\r\n });\r\n this.callback_.call(ctx, entries, ctx);\r\n this.clearActive();\r\n };\r\n /**\r\n * Clears the collection of active observations.\r\n *\r\n * @returns {void}\r\n */\r\n ResizeObserverSPI.prototype.clearActive = function () {\r\n this.activeObservations_.splice(0);\r\n };\r\n /**\r\n * Tells whether observer has active observations.\r\n *\r\n * @returns {boolean}\r\n */\r\n ResizeObserverSPI.prototype.hasActive = function () {\r\n return this.activeObservations_.length > 0;\r\n };\r\n return ResizeObserverSPI;\r\n}());\n\n// Registry of internal observers. If WeakMap is not available use current shim\r\n// for the Map collection as it has all required methods and because WeakMap\r\n// can't be fully polyfilled anyway.\r\nvar observers = typeof WeakMap !== 'undefined' ? new WeakMap() : new MapShim();\r\n/**\r\n * ResizeObserver API. Encapsulates the ResizeObserver SPI implementation\r\n * exposing only those methods and properties that are defined in the spec.\r\n */\r\nvar ResizeObserver = /** @class */ (function () {\r\n /**\r\n * Creates a new instance of ResizeObserver.\r\n *\r\n * @param {ResizeObserverCallback} callback - Callback that is invoked when\r\n * dimensions of the observed elements change.\r\n */\r\n function ResizeObserver(callback) {\r\n if (!(this instanceof ResizeObserver)) {\r\n throw new TypeError('Cannot call a class as a function.');\r\n }\r\n if (!arguments.length) {\r\n throw new TypeError('1 argument required, but only 0 present.');\r\n }\r\n var controller = ResizeObserverController.getInstance();\r\n var observer = new ResizeObserverSPI(callback, controller, this);\r\n observers.set(this, observer);\r\n }\r\n return ResizeObserver;\r\n}());\r\n// Expose public methods of ResizeObserver.\r\n[\r\n 'observe',\r\n 'unobserve',\r\n 'disconnect'\r\n].forEach(function (method) {\r\n ResizeObserver.prototype[method] = function () {\r\n var _a;\r\n return (_a = observers.get(this))[method].apply(_a, arguments);\r\n };\r\n});\n\nvar index = (function () {\r\n // Export existing implementation if available.\r\n if (typeof global$1.ResizeObserver !== 'undefined') {\r\n return global$1.ResizeObserver;\r\n }\r\n return ResizeObserver;\r\n})();\n\nexport default index;\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport ResizeObserver from \"resize-observer-polyfill\"\nimport {\n NEVER,\n Observable,\n Subject,\n defer,\n filter,\n finalize,\n map,\n merge,\n of,\n shareReplay,\n startWith,\n switchMap,\n tap\n} from \"rxjs\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Element offset\n */\nexport interface ElementSize {\n width: number /* Element width */\n height: number /* Element height */\n}\n\n/* ----------------------------------------------------------------------------\n * Data\n * ------------------------------------------------------------------------- */\n\n/**\n * Resize observer entry subject\n */\nconst entry$ = new Subject()\n\n/**\n * Resize observer observable\n *\n * This observable will create a `ResizeObserver` on the first subscription\n * and will automatically terminate it when there are no more subscribers.\n * It's quite important to centralize observation in a single `ResizeObserver`,\n * as the performance difference can be quite dramatic, as the link shows.\n *\n * @see https://bit.ly/3iIYfEm - Google Groups on performance\n */\nconst observer$ = defer(() => of(\n new ResizeObserver(entries => {\n for (const entry of entries)\n entry$.next(entry)\n })\n))\n .pipe(\n switchMap(observer => merge(NEVER, of(observer))\n .pipe(\n finalize(() => observer.disconnect())\n )\n ),\n shareReplay(1)\n )\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Retrieve element size\n *\n * @param el - Element\n *\n * @returns Element size\n */\nexport function getElementSize(\n el: HTMLElement\n): ElementSize {\n return {\n width: el.offsetWidth,\n height: el.offsetHeight\n }\n}\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Watch element size\n *\n * This function returns an observable that subscribes to a single internal\n * instance of `ResizeObserver` upon subscription, and emit resize events until\n * termination. Note that this function should not be called with the same\n * element twice, as the first unsubscription will terminate observation.\n *\n * Sadly, we can't use the `DOMRect` objects returned by the observer, because\n * we need the emitted values to be consistent with `getElementSize`, which will\n * return the used values (rounded) and not actual values (unrounded). Thus, we\n * use the `offset*` properties. See the linked GitHub issue.\n *\n * @see https://bit.ly/3m0k3he - GitHub issue\n *\n * @param el - Element\n *\n * @returns Element size observable\n */\nexport function watchElementSize(\n el: HTMLElement\n): Observable {\n return observer$\n .pipe(\n tap(observer => observer.observe(el)),\n switchMap(observer => entry$\n .pipe(\n filter(({ target }) => target === el),\n finalize(() => observer.unobserve(el)),\n map(() => getElementSize(el))\n )\n ),\n startWith(getElementSize(el))\n )\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport { ElementSize } from \"../_\"\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Retrieve element content size (= scroll width and height)\n *\n * @param el - Element\n *\n * @returns Element content size\n */\nexport function getElementContentSize(\n el: HTMLElement\n): ElementSize {\n return {\n width: el.scrollWidth,\n height: el.scrollHeight\n }\n}\n\n/**\n * Retrieve the overflowing container of an element, if any\n *\n * @param el - Element\n *\n * @returns Overflowing container or nothing\n */\nexport function getElementContainer(\n el: HTMLElement\n): HTMLElement | undefined {\n let parent = el.parentElement\n while (parent)\n if (\n el.scrollWidth <= parent.scrollWidth &&\n el.scrollHeight <= parent.scrollHeight\n )\n parent = (el = parent).parentElement\n else\n break\n\n /* Return overflowing container */\n return parent ? el : undefined\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n NEVER,\n Observable,\n Subject,\n defer,\n distinctUntilChanged,\n filter,\n finalize,\n map,\n merge,\n of,\n shareReplay,\n switchMap,\n tap\n} from \"rxjs\"\n\nimport {\n getElementContentSize,\n getElementSize,\n watchElementContentOffset\n} from \"~/browser\"\n\n/* ----------------------------------------------------------------------------\n * Data\n * ------------------------------------------------------------------------- */\n\n/**\n * Intersection observer entry subject\n */\nconst entry$ = new Subject()\n\n/**\n * Intersection observer observable\n *\n * This observable will create an `IntersectionObserver` on first subscription\n * and will automatically terminate it when there are no more subscribers.\n *\n * @see https://bit.ly/3iIYfEm - Google Groups on performance\n */\nconst observer$ = defer(() => of(\n new IntersectionObserver(entries => {\n for (const entry of entries)\n entry$.next(entry)\n }, {\n threshold: 0\n })\n))\n .pipe(\n switchMap(observer => merge(NEVER, of(observer))\n .pipe(\n finalize(() => observer.disconnect())\n )\n ),\n shareReplay(1)\n )\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch element visibility\n *\n * @param el - Element\n *\n * @returns Element visibility observable\n */\nexport function watchElementVisibility(\n el: HTMLElement\n): Observable {\n return observer$\n .pipe(\n tap(observer => observer.observe(el)),\n switchMap(observer => entry$\n .pipe(\n filter(({ target }) => target === el),\n finalize(() => observer.unobserve(el)),\n map(({ isIntersecting }) => isIntersecting)\n )\n )\n )\n}\n\n/**\n * Watch element boundary\n *\n * This function returns an observable which emits whether the bottom content\n * boundary (= scroll offset) of an element is within a certain threshold.\n *\n * @param el - Element\n * @param threshold - Threshold\n *\n * @returns Element boundary observable\n */\nexport function watchElementBoundary(\n el: HTMLElement, threshold = 16\n): Observable {\n return watchElementContentOffset(el)\n .pipe(\n map(({ y }) => {\n const visible = getElementSize(el)\n const content = getElementContentSize(el)\n return y >= (\n content.height - visible.height - threshold\n )\n }),\n distinctUntilChanged()\n )\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n Observable,\n fromEvent,\n map,\n startWith\n} from \"rxjs\"\n\nimport { getElement } from \"../element\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Toggle\n */\nexport type Toggle =\n | \"drawer\" /* Toggle for drawer */\n | \"search\" /* Toggle for search */\n\n/* ----------------------------------------------------------------------------\n * Data\n * ------------------------------------------------------------------------- */\n\n/**\n * Toggle map\n */\nconst toggles: Record = {\n drawer: getElement(\"[data-md-toggle=drawer]\"),\n search: getElement(\"[data-md-toggle=search]\")\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Retrieve the value of a toggle\n *\n * @param name - Toggle\n *\n * @returns Toggle value\n */\nexport function getToggle(name: Toggle): boolean {\n return toggles[name].checked\n}\n\n/**\n * Set toggle\n *\n * Simulating a click event seems to be the most cross-browser compatible way\n * of changing the value while also emitting a `change` event. Before, Material\n * used `CustomEvent` to programmatically change the value of a toggle, but this\n * is a much simpler and cleaner solution which doesn't require a polyfill.\n *\n * @param name - Toggle\n * @param value - Toggle value\n */\nexport function setToggle(name: Toggle, value: boolean): void {\n if (toggles[name].checked !== value)\n toggles[name].click()\n}\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Watch toggle\n *\n * @param name - Toggle\n *\n * @returns Toggle value observable\n */\nexport function watchToggle(name: Toggle): Observable {\n const el = toggles[name]\n return fromEvent(el, \"change\")\n .pipe(\n map(() => el.checked),\n startWith(el.checked)\n )\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n Observable,\n filter,\n fromEvent,\n map,\n share\n} from \"rxjs\"\n\nimport { getActiveElement } from \"../element\"\nimport { getToggle } from \"../toggle\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Keyboard mode\n */\nexport type KeyboardMode =\n | \"global\" /* Global */\n | \"search\" /* Search is open */\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Keyboard\n */\nexport interface Keyboard {\n mode: KeyboardMode /* Keyboard mode */\n type: string /* Key type */\n claim(): void /* Key claim */\n}\n\n/* ----------------------------------------------------------------------------\n * Helper functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Check whether an element may receive keyboard input\n *\n * @param el - Element\n * @param type - Key type\n *\n * @returns Test result\n */\nfunction isSusceptibleToKeyboard(\n el: HTMLElement, type: string\n): boolean {\n switch (el.constructor) {\n\n /* Input elements */\n case HTMLInputElement:\n /* @ts-expect-error - omit unnecessary type cast */\n if (el.type === \"radio\")\n return /^Arrow/.test(type)\n else\n return true\n\n /* Select element and textarea */\n case HTMLSelectElement:\n case HTMLTextAreaElement:\n return true\n\n /* Everything else */\n default:\n return el.isContentEditable\n }\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch keyboard\n *\n * @returns Keyboard observable\n */\nexport function watchKeyboard(): Observable {\n return fromEvent(window, \"keydown\")\n .pipe(\n filter(ev => !(ev.metaKey || ev.ctrlKey)),\n map(ev => ({\n mode: getToggle(\"search\") ? \"search\" : \"global\",\n type: ev.key,\n claim() {\n ev.preventDefault()\n ev.stopPropagation()\n }\n } as Keyboard)),\n filter(({ mode, type }) => {\n if (mode === \"global\") {\n const active = getActiveElement()\n if (typeof active !== \"undefined\")\n return !isSusceptibleToKeyboard(active, type)\n }\n return true\n }),\n share()\n )\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport { Subject } from \"rxjs\"\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Retrieve location\n *\n * This function returns a `URL` object (and not `Location`) to normalize the\n * typings across the application. Furthermore, locations need to be tracked\n * without setting them and `Location` is a singleton which represents the\n * current location.\n *\n * @returns URL\n */\nexport function getLocation(): URL {\n return new URL(location.href)\n}\n\n/**\n * Set location\n *\n * @param url - URL to change to\n */\nexport function setLocation(url: URL): void {\n location.href = url.href\n}\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Watch location\n *\n * @returns Location subject\n */\nexport function watchLocation(): Subject {\n return new Subject()\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport { JSX as JSXInternal } from \"preact\"\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * HTML attributes\n */\ntype Attributes =\n & JSXInternal.HTMLAttributes\n & JSXInternal.SVGAttributes\n & Record\n\n/**\n * Child element\n */\ntype Child =\n | HTMLElement\n | Text\n | string\n | number\n\n/* ----------------------------------------------------------------------------\n * Helper functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Append a child node to an element\n *\n * @param el - Element\n * @param child - Child node(s)\n */\nfunction appendChild(el: HTMLElement, child: Child | Child[]): void {\n\n /* Handle primitive types (including raw HTML) */\n if (typeof child === \"string\" || typeof child === \"number\") {\n el.innerHTML += child.toString()\n\n /* Handle nodes */\n } else if (child instanceof Node) {\n el.appendChild(child)\n\n /* Handle nested children */\n } else if (Array.isArray(child)) {\n for (const node of child)\n appendChild(el, node)\n }\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * JSX factory\n *\n * @template T - Element type\n *\n * @param tag - HTML tag\n * @param attributes - HTML attributes\n * @param children - Child elements\n *\n * @returns Element\n */\nexport function h(\n tag: T, attributes?: Attributes | null, ...children: Child[]\n): HTMLElementTagNameMap[T]\n\nexport function h(\n tag: string, attributes?: Attributes | null, ...children: Child[]\n): T\n\nexport function h(\n tag: string, attributes?: Attributes | null, ...children: Child[]\n): T {\n const el = document.createElement(tag)\n\n /* Set attributes, if any */\n if (attributes)\n for (const attr of Object.keys(attributes)) {\n if (typeof attributes[attr] === \"undefined\")\n continue\n\n /* Set default attribute or boolean */\n if (typeof attributes[attr] !== \"boolean\")\n el.setAttribute(attr, attributes[attr])\n else\n el.setAttribute(attr, \"\")\n }\n\n /* Append child nodes */\n for (const child of children)\n appendChild(el, child)\n\n /* Return element */\n return el as T\n}\n\n/* ----------------------------------------------------------------------------\n * Namespace\n * ------------------------------------------------------------------------- */\n\nexport declare namespace h {\n namespace JSX {\n type Element = HTMLElement\n type IntrinsicElements = JSXInternal.IntrinsicElements\n }\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Truncate a string after the given number of characters\n *\n * This is not a very reasonable approach, since the summaries kind of suck.\n * It would be better to create something more intelligent, highlighting the\n * search occurrences and making a better summary out of it, but this note was\n * written three years ago, so who knows if we'll ever fix it.\n *\n * @param value - Value to be truncated\n * @param n - Number of characters\n *\n * @returns Truncated value\n */\nexport function truncate(value: string, n: number): string {\n let i = n\n if (value.length > i) {\n while (value[i] !== \" \" && --i > 0) { /* keep eating */ }\n return `${value.substring(0, i)}...`\n }\n return value\n}\n\n/**\n * Round a number for display with repository facts\n *\n * This is a reverse-engineered version of GitHub's weird rounding algorithm\n * for stars, forks and all other numbers. While all numbers below `1,000` are\n * returned as-is, bigger numbers are converted to fixed numbers:\n *\n * - `1,049` => `1k`\n * - `1,050` => `1.1k`\n * - `1,949` => `1.9k`\n * - `1,950` => `2k`\n *\n * @param value - Original value\n *\n * @returns Rounded value\n */\nexport function round(value: number): string {\n if (value > 999) {\n const digits = +((value - 950) % 1000 > 99)\n return `${((value + 0.000001) / 1000).toFixed(digits)}k`\n } else {\n return value.toString()\n }\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n Observable,\n filter,\n fromEvent,\n map,\n shareReplay,\n startWith\n} from \"rxjs\"\n\nimport { getOptionalElement } from \"~/browser\"\nimport { h } from \"~/utilities\"\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Retrieve location hash\n *\n * @returns Location hash\n */\nexport function getLocationHash(): string {\n return location.hash.substring(1)\n}\n\n/**\n * Set location hash\n *\n * Setting a new fragment identifier via `location.hash` will have no effect\n * if the value doesn't change. When a new fragment identifier is set, we want\n * the browser to target the respective element at all times, which is why we\n * use this dirty little trick.\n *\n * @param hash - Location hash\n */\nexport function setLocationHash(hash: string): void {\n const el = h(\"a\", { href: hash })\n el.addEventListener(\"click\", ev => ev.stopPropagation())\n el.click()\n}\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Watch location hash\n *\n * @returns Location hash observable\n */\nexport function watchLocationHash(): Observable {\n return fromEvent(window, \"hashchange\")\n .pipe(\n map(getLocationHash),\n startWith(getLocationHash()),\n filter(hash => hash.length > 0),\n shareReplay(1)\n )\n}\n\n/**\n * Watch location target\n *\n * @returns Location target observable\n */\nexport function watchLocationTarget(): Observable {\n return watchLocationHash()\n .pipe(\n map(id => getOptionalElement(`[id=\"${id}\"]`)!),\n filter(el => typeof el !== \"undefined\")\n )\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n EMPTY,\n Observable,\n fromEvent,\n fromEventPattern,\n map,\n merge,\n startWith,\n switchMap\n} from \"rxjs\"\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch media query\n *\n * Note that although `MediaQueryList.addListener` is deprecated we have to\n * use it, because it's the only way to ensure proper downward compatibility.\n *\n * @see https://bit.ly/3dUBH2m - GitHub issue\n *\n * @param query - Media query\n *\n * @returns Media observable\n */\nexport function watchMedia(query: string): Observable {\n const media = matchMedia(query)\n return fromEventPattern(next => (\n media.addListener(() => next(media.matches))\n ))\n .pipe(\n startWith(media.matches)\n )\n}\n\n/**\n * Watch print mode\n *\n * @returns Print observable\n */\nexport function watchPrint(): Observable {\n const media = matchMedia(\"print\")\n return merge(\n fromEvent(window, \"beforeprint\").pipe(map(() => true)),\n fromEvent(window, \"afterprint\").pipe(map(() => false))\n )\n .pipe(\n startWith(media.matches)\n )\n}\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Toggle an observable with a media observable\n *\n * @template T - Data type\n *\n * @param query$ - Media observable\n * @param factory - Observable factory\n *\n * @returns Toggled observable\n */\nexport function at(\n query$: Observable, factory: () => Observable\n): Observable {\n return query$\n .pipe(\n switchMap(active => active ? factory() : EMPTY)\n )\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n EMPTY,\n Observable,\n catchError,\n from,\n map,\n of,\n shareReplay,\n switchMap,\n throwError\n} from \"rxjs\"\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Fetch the given URL\n *\n * If the request fails (e.g. when dispatched from `file://` locations), the\n * observable will complete without emitting a value.\n *\n * @param url - Request URL\n * @param options - Options\n *\n * @returns Response observable\n */\nexport function request(\n url: URL | string, options: RequestInit = { credentials: \"same-origin\" }\n): Observable {\n return from(fetch(`${url}`, options))\n .pipe(\n catchError(() => EMPTY),\n switchMap(res => res.status !== 200\n ? throwError(() => new Error(res.statusText))\n : of(res)\n )\n )\n}\n\n/**\n * Fetch JSON from the given URL\n *\n * @template T - Data type\n *\n * @param url - Request URL\n * @param options - Options\n *\n * @returns Data observable\n */\nexport function requestJSON(\n url: URL | string, options?: RequestInit\n): Observable {\n return request(url, options)\n .pipe(\n switchMap(res => res.json()),\n shareReplay(1)\n )\n}\n\n/**\n * Fetch XML from the given URL\n *\n * @param url - Request URL\n * @param options - Options\n *\n * @returns Data observable\n */\nexport function requestXML(\n url: URL | string, options?: RequestInit\n): Observable {\n const dom = new DOMParser()\n return request(url, options)\n .pipe(\n switchMap(res => res.text()),\n map(res => dom.parseFromString(res, \"text/xml\")),\n shareReplay(1)\n )\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n Observable,\n defer,\n finalize,\n fromEvent,\n map,\n merge,\n switchMap,\n take,\n throwError\n} from \"rxjs\"\n\nimport { h } from \"~/utilities\"\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Create and load a `script` element\n *\n * This function returns an observable that will emit when the script was\n * successfully loaded, or throw an error if it didn't.\n *\n * @param src - Script URL\n *\n * @returns Script observable\n */\nexport function watchScript(src: string): Observable {\n const script = h(\"script\", { src })\n return defer(() => {\n document.head.appendChild(script)\n return merge(\n fromEvent(script, \"load\"),\n fromEvent(script, \"error\")\n .pipe(\n switchMap(() => (\n throwError(() => new ReferenceError(`Invalid script: ${src}`))\n ))\n )\n )\n .pipe(\n map(() => undefined),\n finalize(() => document.head.removeChild(script)),\n take(1)\n )\n })\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n Observable,\n fromEvent,\n map,\n merge,\n startWith\n} from \"rxjs\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Viewport offset\n */\nexport interface ViewportOffset {\n x: number /* Horizontal offset */\n y: number /* Vertical offset */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Retrieve viewport offset\n *\n * On iOS Safari, viewport offset can be negative due to overflow scrolling.\n * As this may induce strange behaviors downstream, we'll just limit it to 0.\n *\n * @returns Viewport offset\n */\nexport function getViewportOffset(): ViewportOffset {\n return {\n x: Math.max(0, scrollX),\n y: Math.max(0, scrollY)\n }\n}\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Watch viewport offset\n *\n * @returns Viewport offset observable\n */\nexport function watchViewportOffset(): Observable {\n return merge(\n fromEvent(window, \"scroll\", { passive: true }),\n fromEvent(window, \"resize\", { passive: true })\n )\n .pipe(\n map(getViewportOffset),\n startWith(getViewportOffset())\n )\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n Observable,\n fromEvent,\n map,\n startWith\n} from \"rxjs\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Viewport size\n */\nexport interface ViewportSize {\n width: number /* Viewport width */\n height: number /* Viewport height */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Retrieve viewport size\n *\n * @returns Viewport size\n */\nexport function getViewportSize(): ViewportSize {\n return {\n width: innerWidth,\n height: innerHeight\n }\n}\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Watch viewport size\n *\n * @returns Viewport size observable\n */\nexport function watchViewportSize(): Observable {\n return fromEvent(window, \"resize\", { passive: true })\n .pipe(\n map(getViewportSize),\n startWith(getViewportSize())\n )\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n Observable,\n combineLatest,\n map,\n shareReplay\n} from \"rxjs\"\n\nimport {\n ViewportOffset,\n watchViewportOffset\n} from \"../offset\"\nimport {\n ViewportSize,\n watchViewportSize\n} from \"../size\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Viewport\n */\nexport interface Viewport {\n offset: ViewportOffset /* Viewport offset */\n size: ViewportSize /* Viewport size */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch viewport\n *\n * @returns Viewport observable\n */\nexport function watchViewport(): Observable {\n return combineLatest([\n watchViewportOffset(),\n watchViewportSize()\n ])\n .pipe(\n map(([offset, size]) => ({ offset, size })),\n shareReplay(1)\n )\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n Observable,\n combineLatest,\n distinctUntilKeyChanged,\n map\n} from \"rxjs\"\n\nimport { Header } from \"~/components\"\n\nimport { getElementOffset } from \"../../element\"\nimport { Viewport } from \"../_\"\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch options\n */\ninterface WatchOptions {\n viewport$: Observable /* Viewport observable */\n header$: Observable
/* Header observable */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch viewport relative to element\n *\n * @param el - Element\n * @param options - Options\n *\n * @returns Viewport observable\n */\nexport function watchViewportAt(\n el: HTMLElement, { viewport$, header$ }: WatchOptions\n): Observable {\n const size$ = viewport$\n .pipe(\n distinctUntilKeyChanged(\"size\")\n )\n\n /* Compute element offset */\n const offset$ = combineLatest([size$, header$])\n .pipe(\n map(() => getElementOffset(el))\n )\n\n /* Compute relative viewport, return hot observable */\n return combineLatest([header$, viewport$, offset$])\n .pipe(\n map(([{ height }, { offset, size }, { x, y }]) => ({\n offset: {\n x: offset.x - x,\n y: offset.y - y + height\n },\n size\n }))\n )\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n Observable,\n Subject,\n fromEvent,\n map,\n share,\n switchMap,\n tap,\n throttle\n} from \"rxjs\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Worker message\n */\nexport interface WorkerMessage {\n type: unknown /* Message type */\n data?: unknown /* Message data */\n}\n\n/**\n * Worker handler\n *\n * @template T - Message type\n */\nexport interface WorkerHandler<\n T extends WorkerMessage\n> {\n tx$: Subject /* Message transmission subject */\n rx$: Observable /* Message receive observable */\n}\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch options\n *\n * @template T - Worker message type\n */\ninterface WatchOptions {\n tx$: Observable /* Message transmission observable */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch a web worker\n *\n * This function returns an observable that sends all values emitted by the\n * message observable to the web worker. Web worker communication is expected\n * to be bidirectional (request-response) and synchronous. Messages that are\n * emitted during a pending request are throttled, the last one is emitted.\n *\n * @param worker - Web worker\n * @param options - Options\n *\n * @returns Worker message observable\n */\nexport function watchWorker(\n worker: Worker, { tx$ }: WatchOptions\n): Observable {\n\n /* Intercept messages from worker-like objects */\n const rx$ = fromEvent(worker, \"message\")\n .pipe(\n map(({ data }) => data as T)\n )\n\n /* Send and receive messages, return hot observable */\n return tx$\n .pipe(\n throttle(() => rx$, { leading: true, trailing: true }),\n tap(message => worker.postMessage(message)),\n switchMap(() => rx$),\n share()\n )\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport { getElement, getLocation } from \"~/browser\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Feature flag\n */\nexport type Flag =\n | \"announce.dismiss\" /* Dismissable announcement bar */\n | \"content.code.annotate\" /* Code annotations */\n | \"content.lazy\" /* Lazy content elements */\n | \"content.tabs.link\" /* Link content tabs */\n | \"header.autohide\" /* Hide header */\n | \"navigation.expand\" /* Automatic expansion */\n | \"navigation.indexes\" /* Section pages */\n | \"navigation.instant\" /* Instant loading */\n | \"navigation.sections\" /* Section navigation */\n | \"navigation.tabs\" /* Tabs navigation */\n | \"navigation.tabs.sticky\" /* Tabs navigation (sticky) */\n | \"navigation.top\" /* Back-to-top button */\n | \"navigation.tracking\" /* Anchor tracking */\n | \"search.highlight\" /* Search highlighting */\n | \"search.share\" /* Search sharing */\n | \"search.suggest\" /* Search suggestions */\n | \"toc.follow\" /* Following table of contents */\n | \"toc.integrate\" /* Integrated table of contents */\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Translation\n */\nexport type Translation =\n | \"clipboard.copy\" /* Copy to clipboard */\n | \"clipboard.copied\" /* Copied to clipboard */\n | \"search.config.lang\" /* Search language */\n | \"search.config.pipeline\" /* Search pipeline */\n | \"search.config.separator\" /* Search separator */\n | \"search.placeholder\" /* Search */\n | \"search.result.placeholder\" /* Type to start searching */\n | \"search.result.none\" /* No matching documents */\n | \"search.result.one\" /* 1 matching document */\n | \"search.result.other\" /* # matching documents */\n | \"search.result.more.one\" /* 1 more on this page */\n | \"search.result.more.other\" /* # more on this page */\n | \"search.result.term.missing\" /* Missing */\n | \"select.version.title\" /* Version selector */\n\n/**\n * Translations\n */\nexport type Translations = Record\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Versioning\n */\nexport interface Versioning {\n provider: \"mike\" /* Version provider */\n default?: string /* Default version */\n}\n\n/**\n * Configuration\n */\nexport interface Config {\n base: string /* Base URL */\n features: Flag[] /* Feature flags */\n translations: Translations /* Translations */\n search: string /* Search worker URL */\n tags?: Record /* Tags mapping */\n version?: Versioning /* Versioning */\n}\n\n/* ----------------------------------------------------------------------------\n * Data\n * ------------------------------------------------------------------------- */\n\n/**\n * Retrieve global configuration and make base URL absolute\n */\nconst script = getElement(\"#__config\")\nconst config: Config = JSON.parse(script.textContent!)\nconfig.base = `${new URL(config.base, getLocation())}`\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Retrieve global configuration\n *\n * @returns Global configuration\n */\nexport function configuration(): Config {\n return config\n}\n\n/**\n * Check whether a feature flag is enabled\n *\n * @param flag - Feature flag\n *\n * @returns Test result\n */\nexport function feature(flag: Flag): boolean {\n return config.features.includes(flag)\n}\n\n/**\n * Retrieve the translation for the given key\n *\n * @param key - Key to be translated\n * @param value - Positional value, if any\n *\n * @returns Translation\n */\nexport function translation(\n key: Translation, value?: string | number\n): string {\n return typeof value !== \"undefined\"\n ? config.translations[key].replace(\"#\", value.toString())\n : config.translations[key]\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport { getElement, getElements } from \"~/browser\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Component type\n */\nexport type ComponentType =\n | \"announce\" /* Announcement bar */\n | \"container\" /* Container */\n | \"consent\" /* Consent */\n | \"content\" /* Content */\n | \"dialog\" /* Dialog */\n | \"header\" /* Header */\n | \"header-title\" /* Header title */\n | \"header-topic\" /* Header topic */\n | \"main\" /* Main area */\n | \"outdated\" /* Version warning */\n | \"palette\" /* Color palette */\n | \"search\" /* Search */\n | \"search-query\" /* Search input */\n | \"search-result\" /* Search results */\n | \"search-share\" /* Search sharing */\n | \"search-suggest\" /* Search suggestions */\n | \"sidebar\" /* Sidebar */\n | \"skip\" /* Skip link */\n | \"source\" /* Repository information */\n | \"tabs\" /* Navigation tabs */\n | \"toc\" /* Table of contents */\n | \"top\" /* Back-to-top button */\n\n/**\n * Component\n *\n * @template T - Component type\n * @template U - Reference type\n */\nexport type Component<\n T extends {} = {},\n U extends HTMLElement = HTMLElement\n> =\n T & {\n ref: U /* Component reference */\n }\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Component type map\n */\ninterface ComponentTypeMap {\n \"announce\": HTMLElement /* Announcement bar */\n \"container\": HTMLElement /* Container */\n \"consent\": HTMLElement /* Consent */\n \"content\": HTMLElement /* Content */\n \"dialog\": HTMLElement /* Dialog */\n \"header\": HTMLElement /* Header */\n \"header-title\": HTMLElement /* Header title */\n \"header-topic\": HTMLElement /* Header topic */\n \"main\": HTMLElement /* Main area */\n \"outdated\": HTMLElement /* Version warning */\n \"palette\": HTMLElement /* Color palette */\n \"search\": HTMLElement /* Search */\n \"search-query\": HTMLInputElement /* Search input */\n \"search-result\": HTMLElement /* Search results */\n \"search-share\": HTMLAnchorElement /* Search sharing */\n \"search-suggest\": HTMLElement /* Search suggestions */\n \"sidebar\": HTMLElement /* Sidebar */\n \"skip\": HTMLAnchorElement /* Skip link */\n \"source\": HTMLAnchorElement /* Repository information */\n \"tabs\": HTMLElement /* Navigation tabs */\n \"toc\": HTMLElement /* Table of contents */\n \"top\": HTMLAnchorElement /* Back-to-top button */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Retrieve the element for a given component or throw a reference error\n *\n * @template T - Component type\n *\n * @param type - Component type\n * @param node - Node of reference\n *\n * @returns Element\n */\nexport function getComponentElement(\n type: T, node: ParentNode = document\n): ComponentTypeMap[T] {\n return getElement(`[data-md-component=${type}]`, node)\n}\n\n/**\n * Retrieve all elements for a given component\n *\n * @template T - Component type\n *\n * @param type - Component type\n * @param node - Node of reference\n *\n * @returns Elements\n */\nexport function getComponentElements(\n type: T, node: ParentNode = document\n): ComponentTypeMap[T][] {\n return getElements(`[data-md-component=${type}]`, node)\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n EMPTY,\n Observable,\n Subject,\n defer,\n finalize,\n fromEvent,\n map,\n startWith,\n tap\n} from \"rxjs\"\n\nimport { feature } from \"~/_\"\nimport { getElement } from \"~/browser\"\n\nimport { Component } from \"../_\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Announcement bar\n */\nexport interface Announce {\n hash: number /* Content hash */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch announcement bar\n *\n * @param el - Announcement bar element\n *\n * @returns Announcement bar observable\n */\nexport function watchAnnounce(\n el: HTMLElement\n): Observable {\n const button = getElement(\".md-typeset > :first-child\", el)\n return fromEvent(button, \"click\", { once: true })\n .pipe(\n map(() => getElement(\".md-typeset\", el)),\n map(content => ({ hash: __md_hash(content.innerHTML) }))\n )\n}\n\n/**\n * Mount announcement bar\n *\n * @param el - Announcement bar element\n *\n * @returns Announcement bar component observable\n */\nexport function mountAnnounce(\n el: HTMLElement\n): Observable> {\n if (!feature(\"announce.dismiss\") || !el.childElementCount)\n return EMPTY\n\n /* Mount component on subscription */\n return defer(() => {\n const push$ = new Subject()\n push$\n .pipe(\n startWith({ hash: __md_get(\"__announce\") })\n )\n .subscribe(({ hash }) => {\n if (hash && hash === (__md_get(\"__announce\") ?? hash)) {\n el.hidden = true\n\n /* Persist preference in local storage */\n __md_set(\"__announce\", hash)\n }\n })\n\n /* Create and return component */\n return watchAnnounce(el)\n .pipe(\n tap(state => push$.next(state)),\n finalize(() => push$.complete()),\n map(state => ({ ref: el, ...state }))\n )\n })\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n Observable,\n Subject,\n finalize,\n map,\n tap\n} from \"rxjs\"\n\nimport { Component } from \"../_\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Consent\n */\nexport interface Consent {\n hidden: boolean /* Consent is hidden */\n}\n\n/**\n * Consent defaults\n */\nexport interface ConsentDefaults {\n analytics?: boolean /* Consent for Analytics */\n github?: boolean /* Consent for GitHub */\n}\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch options\n */\ninterface WatchOptions {\n target$: Observable /* Target observable */\n}\n\n/**\n * Mount options\n */\ninterface MountOptions {\n target$: Observable /* Target observable */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch consent\n *\n * @param el - Consent element\n * @param options - Options\n *\n * @returns Consent observable\n */\nexport function watchConsent(\n el: HTMLElement, { target$ }: WatchOptions\n): Observable {\n return target$\n .pipe(\n map(target => ({ hidden: target !== el }))\n )\n}\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Mount consent\n *\n * @param el - Consent element\n * @param options - Options\n *\n * @returns Consent component observable\n */\nexport function mountConsent(\n el: HTMLElement, options: MountOptions\n): Observable> {\n const internal$ = new Subject()\n internal$.subscribe(({ hidden }) => {\n el.hidden = hidden\n })\n\n /* Create and return component */\n return watchConsent(el, options)\n .pipe(\n tap(state => internal$.next(state)),\n finalize(() => internal$.complete()),\n map(state => ({ ref: el, ...state }))\n )\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport ClipboardJS from \"clipboard\"\nimport {\n EMPTY,\n Observable,\n Subject,\n defer,\n distinctUntilChanged,\n distinctUntilKeyChanged,\n filter,\n finalize,\n map,\n mergeWith,\n switchMap,\n take,\n tap\n} from \"rxjs\"\n\nimport { feature } from \"~/_\"\nimport {\n getElementContentSize,\n watchElementSize,\n watchElementVisibility\n} from \"~/browser\"\nimport { renderClipboardButton } from \"~/templates\"\n\nimport { Component } from \"../../../_\"\nimport {\n Annotation,\n mountAnnotationList\n} from \"../../annotation\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Code block\n */\nexport interface CodeBlock {\n scrollable: boolean /* Code block overflows */\n}\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Mount options\n */\ninterface MountOptions {\n target$: Observable /* Location target observable */\n print$: Observable /* Media print observable */\n}\n\n/* ----------------------------------------------------------------------------\n * Data\n * ------------------------------------------------------------------------- */\n\n/**\n * Global sequence number for code blocks\n */\nlet sequence = 0\n\n/* ----------------------------------------------------------------------------\n * Helper functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Find candidate list element directly following a code block\n *\n * @param el - Code block element\n *\n * @returns List element or nothing\n */\nfunction findCandidateList(el: HTMLElement): HTMLElement | undefined {\n if (el.nextElementSibling) {\n const sibling = el.nextElementSibling as HTMLElement\n if (sibling.tagName === \"OL\")\n return sibling\n\n /* Skip empty paragraphs - see https://bit.ly/3r4ZJ2O */\n else if (sibling.tagName === \"P\" && !sibling.children.length)\n return findCandidateList(sibling)\n }\n\n /* Everything else */\n return undefined\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch code block\n *\n * This function monitors size changes of the viewport, as well as switches of\n * content tabs with embedded code blocks, as both may trigger overflow.\n *\n * @param el - Code block element\n *\n * @returns Code block observable\n */\nexport function watchCodeBlock(\n el: HTMLElement\n): Observable {\n return watchElementSize(el)\n .pipe(\n map(({ width }) => {\n const content = getElementContentSize(el)\n return {\n scrollable: content.width > width\n }\n }),\n distinctUntilKeyChanged(\"scrollable\")\n )\n}\n\n/**\n * Mount code block\n *\n * This function ensures that an overflowing code block is focusable through\n * keyboard, so it can be scrolled without a mouse to improve on accessibility.\n * Furthermore, if code annotations are enabled, they are mounted if and only\n * if the code block is currently visible, e.g., not in a hidden content tab.\n *\n * Note that code blocks may be mounted eagerly or lazily. If they're mounted\n * lazily (on first visibility), code annotation anchor links will not work,\n * as they are evaluated on initial page load, and code annotations in general\n * might feel a little bumpier.\n *\n * @param el - Code block element\n * @param options - Options\n *\n * @returns Code block and annotation component observable\n */\nexport function mountCodeBlock(\n el: HTMLElement, options: MountOptions\n): Observable> {\n const { matches: hover } = matchMedia(\"(hover)\")\n\n /* Defer mounting of code block - see https://bit.ly/3vHVoVD */\n const factory$ = defer(() => {\n const push$ = new Subject()\n push$.subscribe(({ scrollable }) => {\n if (scrollable && hover)\n el.setAttribute(\"tabindex\", \"0\")\n else\n el.removeAttribute(\"tabindex\")\n })\n\n /* Render button for Clipboard.js integration */\n if (ClipboardJS.isSupported()) {\n const parent = el.closest(\"pre\")!\n parent.id = `__code_${++sequence}`\n parent.insertBefore(\n renderClipboardButton(parent.id),\n el\n )\n }\n\n /* Handle code annotations */\n const container = el.closest(\".highlight\")\n if (container instanceof HTMLElement) {\n const list = findCandidateList(container)\n\n /* Mount code annotations, if enabled */\n if (typeof list !== \"undefined\" && (\n container.classList.contains(\"annotate\") ||\n feature(\"content.code.annotate\")\n )) {\n const annotations$ = mountAnnotationList(list, el, options)\n\n /* Create and return component */\n return watchCodeBlock(el)\n .pipe(\n tap(state => push$.next(state)),\n finalize(() => push$.complete()),\n map(state => ({ ref: el, ...state })),\n mergeWith(\n watchElementSize(container)\n .pipe(\n map(({ width, height }) => width && height),\n distinctUntilChanged(),\n switchMap(active => active ? annotations$ : EMPTY)\n )\n )\n )\n }\n }\n\n /* Create and return component */\n return watchCodeBlock(el)\n .pipe(\n tap(state => push$.next(state)),\n finalize(() => push$.complete()),\n map(state => ({ ref: el, ...state }))\n )\n })\n\n /* Mount code block lazily */\n if (feature(\"content.lazy\"))\n return watchElementVisibility(el)\n .pipe(\n filter(visible => visible),\n take(1),\n switchMap(() => factory$)\n )\n\n /* Mount code block */\n return factory$\n}\n", "/*\n * Copyright (c) 2016-2021 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport { h } from \"~/utilities\"\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Render a tooltip\n *\n * @param id - Tooltip identifier\n *\n * @returns Element\n */\nexport function renderTooltip(id?: string): HTMLElement {\n return (\n
\n
\n
\n )\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport { h } from \"~/utilities\"\n\nimport { renderTooltip } from \"../tooltip\"\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Render an annotation\n *\n * @param id - Annotation identifier\n * @param prefix - Tooltip identifier prefix\n *\n * @returns Element\n */\nexport function renderAnnotation(\n id: string | number, prefix?: string\n): HTMLElement {\n prefix = prefix ? `${prefix}_annotation_${id}` : undefined\n\n /* Render tooltip with anchor, if given */\n if (prefix) {\n const anchor = prefix ? `#${prefix}` : undefined\n return (\n \n )\n } else {\n return (\n \n )\n }\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport { translation } from \"~/_\"\nimport { h } from \"~/utilities\"\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Render a 'copy-to-clipboard' button\n *\n * @param id - Unique identifier\n *\n * @returns Element\n */\nexport function renderClipboardButton(id: string): HTMLElement {\n return (\n code`}\n >\n )\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport { ComponentChild } from \"preact\"\n\nimport { configuration, feature, translation } from \"~/_\"\nimport {\n SearchDocument,\n SearchMetadata,\n SearchResultItem\n} from \"~/integrations/search\"\nimport { h, truncate } from \"~/utilities\"\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Render flag\n */\nconst enum Flag {\n TEASER = 1, /* Render teaser */\n PARENT = 2 /* Render as parent */\n}\n\n/* ----------------------------------------------------------------------------\n * Helper function\n * ------------------------------------------------------------------------- */\n\n/**\n * Render a search document\n *\n * @param document - Search document\n * @param flag - Render flags\n *\n * @returns Element\n */\nfunction renderSearchDocument(\n document: SearchDocument & SearchMetadata, flag: Flag\n): HTMLElement {\n const parent = flag & Flag.PARENT\n const teaser = flag & Flag.TEASER\n\n /* Render missing query terms */\n const missing = Object.keys(document.terms)\n .filter(key => !document.terms[key])\n .reduce((list, key) => [\n ...list, {key}, \" \"\n ], [])\n .slice(0, -1)\n\n /* Assemble query string for highlighting */\n const url = new URL(document.location)\n if (feature(\"search.highlight\"))\n url.searchParams.set(\"h\", Object.entries(document.terms)\n .filter(([, match]) => match)\n .reduce((highlight, [value]) => `${highlight} ${value}`.trim(), \"\")\n )\n\n /* Render article or section, depending on flags */\n const { tags } = configuration()\n return (\n \n \n {parent > 0 &&
}\n

{document.title}

\n {teaser > 0 && document.text.length > 0 &&\n

\n {truncate(document.text, 320)}\n

\n }\n {document.tags && (\n
\n {document.tags.map(tag => {\n const id = tag.replace(/<[^>]+>/g, \"\")\n const type = tags\n ? id in tags\n ? `md-tag-icon md-tag-icon--${tags[id]}`\n : \"md-tag-icon\"\n : \"\"\n return (\n {tag}\n )\n })}\n
\n )}\n {teaser > 0 && missing.length > 0 &&\n

\n {translation(\"search.result.term.missing\")}: {...missing}\n

\n }\n \n \n )\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Render a search result\n *\n * @param result - Search result\n *\n * @returns Element\n */\nexport function renderSearchResultItem(\n result: SearchResultItem\n): HTMLElement {\n const threshold = result[0].score\n const docs = [...result]\n\n /* Find and extract parent article */\n const parent = docs.findIndex(doc => !doc.location.includes(\"#\"))\n const [article] = docs.splice(parent, 1)\n\n /* Determine last index above threshold */\n let index = docs.findIndex(doc => doc.score < threshold)\n if (index === -1)\n index = docs.length\n\n /* Partition sections */\n const best = docs.slice(0, index)\n const more = docs.slice(index)\n\n /* Render children */\n const children = [\n renderSearchDocument(article, Flag.PARENT | +(!parent && index === 0)),\n ...best.map(section => renderSearchDocument(section, Flag.TEASER)),\n ...more.length ? [\n
\n \n {more.length > 0 && more.length === 1\n ? translation(\"search.result.more.one\")\n : translation(\"search.result.more.other\", more.length)\n }\n \n {...more.map(section => renderSearchDocument(section, Flag.TEASER))}\n
\n ] : []\n ]\n\n /* Render search result */\n return (\n
  • \n {children}\n
    • \n )\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport { SourceFacts } from \"~/components\"\nimport { h, round } from \"~/utilities\"\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Render repository facts\n *\n * @param facts - Repository facts\n *\n * @returns Element\n */\nexport function renderSourceFacts(facts: SourceFacts): HTMLElement {\n return (\n
      \n {Object.entries(facts).map(([key, value]) => (\n
    • \n {typeof value === \"number\" ? round(value) : value}\n
      • \n ))}\n
    \n )\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport { h } from \"~/utilities\"\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Tabbed control type\n */\ntype TabbedControlType =\n | \"prev\"\n | \"next\"\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Render control for content tabs\n *\n * @param type - Control type\n *\n * @returns Element\n */\nexport function renderTabbedControl(\n type: TabbedControlType\n): HTMLElement {\n const classes = `tabbed-control tabbed-control--${type}`\n return (\n \n )\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport { h } from \"~/utilities\"\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Render a table inside a wrapper to improve scrolling on mobile\n *\n * @param table - Table element\n *\n * @returns Element\n */\nexport function renderTable(table: HTMLElement): HTMLElement {\n return (\n
    \n
    \n {table}\n
    \n
    \n )\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport { configuration, translation } from \"~/_\"\nimport { h } from \"~/utilities\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Version\n */\nexport interface Version {\n version: string /* Version identifier */\n title: string /* Version title */\n aliases: string[] /* Version aliases */\n}\n\n/* ----------------------------------------------------------------------------\n * Helper functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Render a version\n *\n * @param version - Version\n *\n * @returns Element\n */\nfunction renderVersion(version: Version): HTMLElement {\n const config = configuration()\n\n /* Ensure trailing slash - see https://bit.ly/3rL5u3f */\n const url = new URL(`../${version.version}/`, config.base)\n return (\n
  • \n \n {version.title}\n \n
    • \n )\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Render a version selector\n *\n * @param versions - Versions\n * @param active - Active version\n *\n * @returns Element\n */\nexport function renderVersionSelector(\n versions: Version[], active: Version\n): HTMLElement {\n return (\n
    \n \n {active.title}\n \n
      \n {versions.map(renderVersion)}\n
    \n
    \n )\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n Observable,\n Subject,\n animationFrameScheduler,\n auditTime,\n combineLatest,\n debounceTime,\n defer,\n delay,\n filter,\n finalize,\n fromEvent,\n map,\n merge,\n switchMap,\n take,\n takeLast,\n takeUntil,\n tap,\n throttleTime,\n withLatestFrom\n} from \"rxjs\"\n\nimport {\n ElementOffset,\n getActiveElement,\n getElementSize,\n watchElementContentOffset,\n watchElementFocus,\n watchElementOffset,\n watchElementVisibility\n} from \"~/browser\"\n\nimport { Component } from \"../../../_\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Annotation\n */\nexport interface Annotation {\n active: boolean /* Annotation is active */\n offset: ElementOffset /* Annotation offset */\n}\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Mount options\n */\ninterface MountOptions {\n target$: Observable /* Location target observable */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch annotation\n *\n * @param el - Annotation element\n * @param container - Containing element\n *\n * @returns Annotation observable\n */\nexport function watchAnnotation(\n el: HTMLElement, container: HTMLElement\n): Observable {\n const offset$ = defer(() => combineLatest([\n watchElementOffset(el),\n watchElementContentOffset(container)\n ]))\n .pipe(\n map(([{ x, y }, scroll]): ElementOffset => {\n const { width, height } = getElementSize(el)\n return ({\n x: x - scroll.x + width / 2,\n y: y - scroll.y + height / 2\n })\n })\n )\n\n /* Actively watch annotation on focus */\n return watchElementFocus(el)\n .pipe(\n switchMap(active => offset$\n .pipe(\n map(offset => ({ active, offset })),\n take(+!active || Infinity)\n )\n )\n )\n}\n\n/**\n * Mount annotation\n *\n * @param el - Annotation element\n * @param container - Containing element\n * @param options - Options\n *\n * @returns Annotation component observable\n */\nexport function mountAnnotation(\n el: HTMLElement, container: HTMLElement, { target$ }: MountOptions\n): Observable> {\n const [tooltip, index] = Array.from(el.children)\n\n /* Mount component on subscription */\n return defer(() => {\n const push$ = new Subject()\n const done$ = push$.pipe(takeLast(1))\n push$.subscribe({\n\n /* Handle emission */\n next({ offset }) {\n el.style.setProperty(\"--md-tooltip-x\", `${offset.x}px`)\n el.style.setProperty(\"--md-tooltip-y\", `${offset.y}px`)\n },\n\n /* Handle complete */\n complete() {\n el.style.removeProperty(\"--md-tooltip-x\")\n el.style.removeProperty(\"--md-tooltip-y\")\n }\n })\n\n /* Start animation only when annotation is visible */\n watchElementVisibility(el)\n .pipe(\n takeUntil(done$)\n )\n .subscribe(visible => {\n el.toggleAttribute(\"data-md-visible\", visible)\n })\n\n /* Toggle tooltip presence to mitigate empty lines when copying */\n merge(\n push$.pipe(filter(({ active }) => active)),\n push$.pipe(debounceTime(250), filter(({ active }) => !active))\n )\n .subscribe({\n\n /* Handle emission */\n next({ active }) {\n if (active)\n el.prepend(tooltip)\n else\n tooltip.remove()\n },\n\n /* Handle complete */\n complete() {\n el.prepend(tooltip)\n }\n })\n\n /* Toggle tooltip visibility */\n push$\n .pipe(\n auditTime(16, animationFrameScheduler)\n )\n .subscribe(({ active }) => {\n tooltip.classList.toggle(\"md-tooltip--active\", active)\n })\n\n /* Track relative origin of tooltip */\n push$\n .pipe(\n throttleTime(125, animationFrameScheduler),\n filter(() => !!el.offsetParent),\n map(() => el.offsetParent!.getBoundingClientRect()),\n map(({ x }) => x)\n )\n .subscribe({\n\n /* Handle emission */\n next(origin) {\n if (origin)\n el.style.setProperty(\"--md-tooltip-0\", `${-origin}px`)\n else\n el.style.removeProperty(\"--md-tooltip-0\")\n },\n\n /* Handle complete */\n complete() {\n el.style.removeProperty(\"--md-tooltip-0\")\n }\n })\n\n /* Allow to copy link without scrolling to anchor */\n fromEvent(index, \"click\")\n .pipe(\n takeUntil(done$),\n filter(ev => !(ev.metaKey || ev.ctrlKey))\n )\n .subscribe(ev => ev.preventDefault())\n\n /* Allow to open link in new tab or blur on close */\n fromEvent(index, \"mousedown\")\n .pipe(\n takeUntil(done$),\n withLatestFrom(push$)\n )\n .subscribe(([ev, { active }]) => {\n\n /* Open in new tab */\n if (ev.button !== 0 || ev.metaKey || ev.ctrlKey) {\n ev.preventDefault()\n\n /* Close annotation */\n } else if (active) {\n ev.preventDefault()\n\n /* Focus parent annotation, if any */\n const parent = el.parentElement!.closest(\".md-annotation\")\n if (parent instanceof HTMLElement)\n parent.focus()\n else\n getActiveElement()?.blur()\n }\n })\n\n /* Open and focus annotation on location target */\n target$\n .pipe(\n takeUntil(done$),\n filter(target => target === tooltip),\n delay(125)\n )\n .subscribe(() => el.focus())\n\n /* Create and return component */\n return watchAnnotation(el, container)\n .pipe(\n tap(state => push$.next(state)),\n finalize(() => push$.complete()),\n map(state => ({ ref: el, ...state }))\n )\n })\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n EMPTY,\n Observable,\n Subject,\n defer,\n finalize,\n merge,\n share,\n takeLast,\n takeUntil\n} from \"rxjs\"\n\nimport {\n getElement,\n getElements,\n getOptionalElement\n} from \"~/browser\"\nimport { renderAnnotation } from \"~/templates\"\n\nimport { Component } from \"../../../_\"\nimport {\n Annotation,\n mountAnnotation\n} from \"../_\"\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Mount options\n */\ninterface MountOptions {\n target$: Observable /* Location target observable */\n print$: Observable /* Media print observable */\n}\n\n/* ----------------------------------------------------------------------------\n * Helper functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Find all annotation markers in the given code block\n *\n * @param container - Containing element\n *\n * @returns Annotation markers\n */\nfunction findAnnotationMarkers(container: HTMLElement): Text[] {\n const markers: Text[] = []\n for (const el of getElements(\".c, .c1, .cm\", container)) {\n const nodes: Text[] = []\n\n /* Find all text nodes in current element */\n const it = document.createNodeIterator(el, NodeFilter.SHOW_TEXT)\n for (let node = it.nextNode(); node; node = it.nextNode())\n nodes.push(node as Text)\n\n /* Find all markers in each text node */\n for (let text of nodes) {\n let match: RegExpExecArray | null\n\n /* Split text at marker and add to list */\n while ((match = /(\\(\\d+\\))(!)?/.exec(text.textContent!))) {\n const [, id, force] = match\n if (typeof force === \"undefined\") {\n const marker = text.splitText(match.index)\n text = marker.splitText(id.length)\n markers.push(marker)\n\n /* Replace entire text with marker */\n } else {\n text.textContent = id\n markers.push(text)\n break\n }\n }\n }\n }\n return markers\n}\n\n/**\n * Swap the child nodes of two elements\n *\n * @param source - Source element\n * @param target - Target element\n */\nfunction swap(source: HTMLElement, target: HTMLElement): void {\n target.append(...Array.from(source.childNodes))\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Mount annotation list\n *\n * This function analyzes the containing code block and checks for markers\n * referring to elements in the given annotation list. If no markers are found,\n * the list is left untouched. Otherwise, list elements are rendered as\n * annotations inside the code block.\n *\n * @param el - Annotation list element\n * @param container - Containing element\n * @param options - Options\n *\n * @returns Annotation component observable\n */\nexport function mountAnnotationList(\n el: HTMLElement, container: HTMLElement, { target$, print$ }: MountOptions\n): Observable> {\n\n /* Compute prefix for tooltip anchors */\n const parent = container.closest(\"[id]\")\n const prefix = parent?.id\n\n /* Find and replace all markers with empty annotations */\n const annotations = new Map()\n for (const marker of findAnnotationMarkers(container)) {\n const [, id] = marker.textContent!.match(/\\((\\d+)\\)/)!\n if (getOptionalElement(`li:nth-child(${id})`, el)) {\n annotations.set(id, renderAnnotation(id, prefix))\n marker.replaceWith(annotations.get(id)!)\n }\n }\n\n /* Keep list if there are no annotations to render */\n if (annotations.size === 0)\n return EMPTY\n\n /* Mount component on subscription */\n return defer(() => {\n const done$ = new Subject()\n\n /* Retrieve container pairs for swapping */\n const pairs: [HTMLElement, HTMLElement][] = []\n for (const [id, annotation] of annotations)\n pairs.push([\n getElement(\".md-typeset\", annotation),\n getElement(`li:nth-child(${id})`, el)\n ])\n\n /* Handle print mode - see https://bit.ly/3rgPdpt */\n print$\n .pipe(\n takeUntil(done$.pipe(takeLast(1)))\n )\n .subscribe(active => {\n el.hidden = !active\n\n /* Show annotations in code block or list (print) */\n for (const [inner, child] of pairs)\n if (!active)\n swap(child, inner)\n else\n swap(inner, child)\n })\n\n /* Create and return component */\n return merge(...[...annotations]\n .map(([, annotation]) => (\n mountAnnotation(annotation, container, { target$ })\n ))\n )\n .pipe(\n finalize(() => done$.complete()),\n share()\n )\n })\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n Observable,\n map,\n of,\n shareReplay,\n tap\n} from \"rxjs\"\n\nimport { watchScript } from \"~/browser\"\nimport { h } from \"~/utilities\"\n\nimport { Component } from \"../../../_\"\n\nimport themeCSS from \"./index.css\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Mermaid diagram\n */\nexport interface Mermaid {}\n\n/* ----------------------------------------------------------------------------\n * Data\n * ------------------------------------------------------------------------- */\n\n/**\n * Mermaid instance observable\n */\nlet mermaid$: Observable\n\n/**\n * Global sequence number for diagrams\n */\nlet sequence = 0\n\n/* ----------------------------------------------------------------------------\n * Helper functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Fetch Mermaid script\n *\n * @returns Mermaid scripts observable\n */\nfunction fetchScripts(): Observable {\n return typeof mermaid === \"undefined\" || mermaid instanceof Element\n ? watchScript(\"https://unpkg.com/mermaid@9.1.7/dist/mermaid.min.js\")\n : of(undefined)\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Mount Mermaid diagram\n *\n * @param el - Code block element\n *\n * @returns Mermaid diagram component observable\n */\nexport function mountMermaid(\n el: HTMLElement\n): Observable> {\n el.classList.remove(\"mermaid\") // Hack: mitigate https://bit.ly/3CiN6Du\n mermaid$ ||= fetchScripts()\n .pipe(\n tap(() => mermaid.initialize({\n startOnLoad: false,\n themeCSS,\n sequence: {\n actorFontSize: \"16px\", // Hack: mitigate https://bit.ly/3y0NEi3\n messageFontSize: \"16px\",\n noteFontSize: \"16px\"\n }\n })),\n map(() => undefined),\n shareReplay(1)\n )\n\n /* Render diagram */\n mermaid$.subscribe(() => {\n el.classList.add(\"mermaid\") // Hack: mitigate https://bit.ly/3CiN6Du\n const id = `__mermaid_${sequence++}`\n const host = h(\"div\", { class: \"mermaid\" })\n mermaid.mermaidAPI.render(id, el.textContent, (svg: string) => {\n\n /* Create a shadow root and inject diagram */\n const shadow = host.attachShadow({ mode: \"closed\" })\n shadow.innerHTML = svg\n\n /* Replace code block with diagram */\n el.replaceWith(host)\n })\n })\n\n /* Create and return component */\n return mermaid$\n .pipe(\n map(() => ({ ref: el }))\n )\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n Observable,\n Subject,\n defer,\n filter,\n finalize,\n map,\n merge,\n tap\n} from \"rxjs\"\n\nimport { Component } from \"../../_\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Details\n */\nexport interface Details {\n action: \"open\" | \"close\" /* Details state */\n reveal?: boolean /* Details is revealed */\n}\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch options\n */\ninterface WatchOptions {\n target$: Observable /* Location target observable */\n print$: Observable /* Media print observable */\n}\n\n/**\n * Mount options\n */\ninterface MountOptions {\n target$: Observable /* Location target observable */\n print$: Observable /* Media print observable */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch details\n *\n * @param el - Details element\n * @param options - Options\n *\n * @returns Details observable\n */\nexport function watchDetails(\n el: HTMLDetailsElement, { target$, print$ }: WatchOptions\n): Observable
    {\n let open = true\n return merge(\n\n /* Open and focus details on location target */\n target$\n .pipe(\n map(target => target.closest(\"details:not([open])\")!),\n filter(details => el === details),\n map(() => ({\n action: \"open\", reveal: true\n }) as Details)\n ),\n\n /* Open details on print and close afterwards */\n print$\n .pipe(\n filter(active => active || !open),\n tap(() => open = el.open),\n map(active => ({\n action: active ? \"open\" : \"close\"\n }) as Details)\n )\n )\n}\n\n/**\n * Mount details\n *\n * This function ensures that `details` tags are opened on anchor jumps and\n * prior to printing, so the whole content of the page is visible.\n *\n * @param el - Details element\n * @param options - Options\n *\n * @returns Details component observable\n */\nexport function mountDetails(\n el: HTMLDetailsElement, options: MountOptions\n): Observable> {\n return defer(() => {\n const push$ = new Subject
    ()\n push$.subscribe(({ action, reveal }) => {\n el.toggleAttribute(\"open\", action === \"open\")\n if (reveal)\n el.scrollIntoView()\n })\n\n /* Create and return component */\n return watchDetails(el, options)\n .pipe(\n tap(state => push$.next(state)),\n finalize(() => push$.complete()),\n map(state => ({ ref: el, ...state }))\n )\n })\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport { Observable, of } from \"rxjs\"\n\nimport { renderTable } from \"~/templates\"\nimport { h } from \"~/utilities\"\n\nimport { Component } from \"../../_\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Data table\n */\nexport interface DataTable {}\n\n/* ----------------------------------------------------------------------------\n * Data\n * ------------------------------------------------------------------------- */\n\n/**\n * Sentinel for replacement\n */\nconst sentinel = h(\"table\")\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Mount data table\n *\n * This function wraps a data table in another scrollable container, so it can\n * be smoothly scrolled on smaller screen sizes and won't break the layout.\n *\n * @param el - Data table element\n *\n * @returns Data table component observable\n */\nexport function mountDataTable(\n el: HTMLElement\n): Observable> {\n el.replaceWith(sentinel)\n sentinel.replaceWith(renderTable(el))\n\n /* Create and return component */\n return of({ ref: el })\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n Observable,\n Subject,\n animationFrameScheduler,\n asyncScheduler,\n auditTime,\n combineLatest,\n defer,\n finalize,\n fromEvent,\n map,\n merge,\n skip,\n startWith,\n subscribeOn,\n takeLast,\n takeUntil,\n tap,\n withLatestFrom\n} from \"rxjs\"\n\nimport { feature } from \"~/_\"\nimport {\n Viewport,\n getElement,\n getElementContentOffset,\n getElementContentSize,\n getElementOffset,\n getElementSize,\n getElements,\n watchElementContentOffset,\n watchElementSize\n} from \"~/browser\"\nimport { renderTabbedControl } from \"~/templates\"\n\nimport { Component } from \"../../_\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Content tabs\n */\nexport interface ContentTabs {\n active: HTMLLabelElement /* Active tab label */\n}\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Mount options\n */\ninterface MountOptions {\n viewport$: Observable /* Viewport observable */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch content tabs\n *\n * @param el - Content tabs element\n *\n * @returns Content tabs observable\n */\nexport function watchContentTabs(\n el: HTMLElement\n): Observable {\n const inputs = getElements(\":scope > input\", el)\n const initial = inputs.find(input => input.checked) || inputs[0]\n return merge(...inputs.map(input => fromEvent(input, \"change\")\n .pipe(\n map(() => getElement(`label[for=\"${input.id}\"]`))\n )\n ))\n .pipe(\n startWith(getElement(`label[for=\"${initial.id}\"]`)),\n map(active => ({ active }))\n )\n}\n\n/**\n * Mount content tabs\n *\n * This function scrolls the active tab into view. While this functionality is\n * provided by browsers as part of `scrollInfoView`, browsers will always also\n * scroll the vertical axis, which we do not want. Thus, we decided to provide\n * this functionality ourselves.\n *\n * @param el - Content tabs element\n * @param options - Options\n *\n * @returns Content tabs component observable\n */\nexport function mountContentTabs(\n el: HTMLElement, { viewport$ }: MountOptions\n): Observable> {\n\n /* Render content tab previous button for pagination */\n const prev = renderTabbedControl(\"prev\")\n el.append(prev)\n\n /* Render content tab next button for pagination */\n const next = renderTabbedControl(\"next\")\n el.append(next)\n\n /* Mount component on subscription */\n const container = getElement(\".tabbed-labels\", el)\n return defer(() => {\n const push$ = new Subject()\n const done$ = push$.pipe(takeLast(1))\n combineLatest([push$, watchElementSize(el)])\n .pipe(\n auditTime(1, animationFrameScheduler),\n takeUntil(done$)\n )\n .subscribe({\n\n /* Handle emission */\n next([{ active }, size]) {\n const offset = getElementOffset(active)\n const { width } = getElementSize(active)\n\n /* Set tab indicator offset and width */\n el.style.setProperty(\"--md-indicator-x\", `${offset.x}px`)\n el.style.setProperty(\"--md-indicator-width\", `${width}px`)\n\n /* Scroll container to active content tab */\n const content = getElementContentOffset(container)\n if (\n offset.x < content.x ||\n offset.x + width > content.x + size.width\n )\n container.scrollTo({\n left: Math.max(0, offset.x - 16),\n behavior: \"smooth\"\n })\n },\n\n /* Handle complete */\n complete() {\n el.style.removeProperty(\"--md-indicator-x\")\n el.style.removeProperty(\"--md-indicator-width\")\n }\n })\n\n /* Hide content tab buttons on borders */\n combineLatest([\n watchElementContentOffset(container),\n watchElementSize(container)\n ])\n .pipe(\n takeUntil(done$)\n )\n .subscribe(([offset, size]) => {\n const content = getElementContentSize(container)\n prev.hidden = offset.x < 16\n next.hidden = offset.x > content.width - size.width - 16\n })\n\n /* Paginate content tab container on click */\n merge(\n fromEvent(prev, \"click\").pipe(map(() => -1)),\n fromEvent(next, \"click\").pipe(map(() => +1))\n )\n .pipe(\n takeUntil(done$)\n )\n .subscribe(direction => {\n const { width } = getElementSize(container)\n container.scrollBy({\n left: width * direction,\n behavior: \"smooth\"\n })\n })\n\n /* Set up linking of content tabs, if enabled */\n if (feature(\"content.tabs.link\"))\n push$.pipe(\n skip(1),\n withLatestFrom(viewport$)\n )\n .subscribe(([{ active }, { offset }]) => {\n const tab = active.innerText.trim()\n if (active.hasAttribute(\"data-md-switching\")) {\n active.removeAttribute(\"data-md-switching\")\n\n /* Determine viewport offset of active tab */\n } else {\n const y = el.offsetTop - offset.y\n\n /* Passively activate other tabs */\n for (const set of getElements(\"[data-tabs]\"))\n for (const input of getElements(\n \":scope > input\", set\n )) {\n const label = getElement(`label[for=\"${input.id}\"]`)\n if (\n label !== active &&\n label.innerText.trim() === tab\n ) {\n label.setAttribute(\"data-md-switching\", \"\")\n input.click()\n break\n }\n }\n\n /* Bring active tab into view */\n window.scrollTo({\n top: el.offsetTop - y\n })\n\n /* Persist active tabs in local storage */\n const tabs = __md_get(\"__tabs\") || []\n __md_set(\"__tabs\", [...new Set([tab, ...tabs])])\n }\n })\n\n /* Create and return component */\n return watchContentTabs(el)\n .pipe(\n tap(state => push$.next(state)),\n finalize(() => push$.complete()),\n map(state => ({ ref: el, ...state }))\n )\n })\n .pipe(\n subscribeOn(asyncScheduler)\n )\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport { Observable, merge } from \"rxjs\"\n\nimport { Viewport, getElements } from \"~/browser\"\n\nimport { Component } from \"../../_\"\nimport { Annotation } from \"../annotation\"\nimport {\n CodeBlock,\n Mermaid,\n mountCodeBlock,\n mountMermaid\n} from \"../code\"\nimport {\n Details,\n mountDetails\n} from \"../details\"\nimport {\n DataTable,\n mountDataTable\n} from \"../table\"\nimport {\n ContentTabs,\n mountContentTabs\n} from \"../tabs\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Content\n */\nexport type Content =\n | Annotation\n | ContentTabs\n | CodeBlock\n | Mermaid\n | DataTable\n | Details\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Mount options\n */\ninterface MountOptions {\n viewport$: Observable /* Viewport observable */\n target$: Observable /* Location target observable */\n print$: Observable /* Media print observable */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Mount content\n *\n * This function mounts all components that are found in the content of the\n * actual article, including code blocks, data tables and details.\n *\n * @param el - Content element\n * @param options - Options\n *\n * @returns Content component observable\n */\nexport function mountContent(\n el: HTMLElement, { viewport$, target$, print$ }: MountOptions\n): Observable> {\n return merge(\n\n /* Code blocks */\n ...getElements(\"pre:not(.mermaid) > code\", el)\n .map(child => mountCodeBlock(child, { target$, print$ })),\n\n /* Mermaid diagrams */\n ...getElements(\"pre.mermaid\", el)\n .map(child => mountMermaid(child)),\n\n /* Data tables */\n ...getElements(\"table:not([class])\", el)\n .map(child => mountDataTable(child)),\n\n /* Details */\n ...getElements(\"details\", el)\n .map(child => mountDetails(child, { target$, print$ })),\n\n /* Content tabs */\n ...getElements(\"[data-tabs]\", el)\n .map(child => mountContentTabs(child, { viewport$ }))\n )\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n Observable,\n Subject,\n defer,\n delay,\n finalize,\n map,\n merge,\n of,\n switchMap,\n tap\n} from \"rxjs\"\n\nimport { getElement } from \"~/browser\"\n\nimport { Component } from \"../_\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Dialog\n */\nexport interface Dialog {\n message: string /* Dialog message */\n active: boolean /* Dialog is active */\n}\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch options\n */\ninterface WatchOptions {\n alert$: Subject /* Alert subject */\n}\n\n/**\n * Mount options\n */\ninterface MountOptions {\n alert$: Subject /* Alert subject */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch dialog\n *\n * @param _el - Dialog element\n * @param options - Options\n *\n * @returns Dialog observable\n */\nexport function watchDialog(\n _el: HTMLElement, { alert$ }: WatchOptions\n): Observable {\n return alert$\n .pipe(\n switchMap(message => merge(\n of(true),\n of(false).pipe(delay(2000))\n )\n .pipe(\n map(active => ({ message, active }))\n )\n )\n )\n}\n\n/**\n * Mount dialog\n *\n * This function reveals the dialog in the right corner when a new alert is\n * emitted through the subject that is passed as part of the options.\n *\n * @param el - Dialog element\n * @param options - Options\n *\n * @returns Dialog component observable\n */\nexport function mountDialog(\n el: HTMLElement, options: MountOptions\n): Observable> {\n const inner = getElement(\".md-typeset\", el)\n return defer(() => {\n const push$ = new Subject()\n push$.subscribe(({ message, active }) => {\n el.classList.toggle(\"md-dialog--active\", active)\n inner.textContent = message\n })\n\n /* Create and return component */\n return watchDialog(el, options)\n .pipe(\n tap(state => push$.next(state)),\n finalize(() => push$.complete()),\n map(state => ({ ref: el, ...state }))\n )\n })\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n Observable,\n Subject,\n bufferCount,\n combineLatest,\n combineLatestWith,\n defer,\n distinctUntilChanged,\n distinctUntilKeyChanged,\n filter,\n map,\n of,\n shareReplay,\n startWith,\n switchMap,\n takeLast,\n takeUntil\n} from \"rxjs\"\n\nimport { feature } from \"~/_\"\nimport {\n Viewport,\n watchElementSize,\n watchToggle\n} from \"~/browser\"\n\nimport { Component } from \"../../_\"\nimport { Main } from \"../../main\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Header\n */\nexport interface Header {\n height: number /* Header visible height */\n hidden: boolean /* Header is hidden */\n}\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch options\n */\ninterface WatchOptions {\n viewport$: Observable /* Viewport observable */\n}\n\n/**\n * Mount options\n */\ninterface MountOptions {\n viewport$: Observable /* Viewport observable */\n header$: Observable
    /* Header observable */\n main$: Observable
    /* Main area observable */\n}\n\n/* ----------------------------------------------------------------------------\n * Helper functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Compute whether the header is hidden\n *\n * If the user scrolls past a certain threshold, the header can be hidden when\n * scrolling down, and shown when scrolling up.\n *\n * @param options - Options\n *\n * @returns Toggle observable\n */\nfunction isHidden({ viewport$ }: WatchOptions): Observable {\n if (!feature(\"header.autohide\"))\n return of(false)\n\n /* Compute direction and turning point */\n const direction$ = viewport$\n .pipe(\n map(({ offset: { y } }) => y),\n bufferCount(2, 1),\n map(([a, b]) => [a < b, b] as const),\n distinctUntilKeyChanged(0)\n )\n\n /* Compute whether header should be hidden */\n const hidden$ = combineLatest([viewport$, direction$])\n .pipe(\n filter(([{ offset }, [, y]]) => Math.abs(y - offset.y) > 100),\n map(([, [direction]]) => direction),\n distinctUntilChanged()\n )\n\n /* Compute threshold for hiding */\n const search$ = watchToggle(\"search\")\n return combineLatest([viewport$, search$])\n .pipe(\n map(([{ offset }, search]) => offset.y > 400 && !search),\n distinctUntilChanged(),\n switchMap(active => active ? hidden$ : of(false)),\n startWith(false)\n )\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch header\n *\n * @param el - Header element\n * @param options - Options\n *\n * @returns Header observable\n */\nexport function watchHeader(\n el: HTMLElement, options: WatchOptions\n): Observable
    {\n return defer(() => combineLatest([\n watchElementSize(el),\n isHidden(options)\n ]))\n .pipe(\n map(([{ height }, hidden]) => ({\n height,\n hidden\n })),\n distinctUntilChanged((a, b) => (\n a.height === b.height &&\n a.hidden === b.hidden\n )),\n shareReplay(1)\n )\n}\n\n/**\n * Mount header\n *\n * This function manages the different states of the header, i.e. whether it's\n * hidden or rendered with a shadow. This depends heavily on the main area.\n *\n * @param el - Header element\n * @param options - Options\n *\n * @returns Header component observable\n */\nexport function mountHeader(\n el: HTMLElement, { header$, main$ }: MountOptions\n): Observable> {\n return defer(() => {\n const push$ = new Subject
    ()\n const done$ = push$.pipe(takeLast(1))\n push$\n .pipe(\n distinctUntilKeyChanged(\"active\"),\n combineLatestWith(header$)\n )\n .subscribe(([{ active }, { hidden }]) => {\n el.classList.toggle(\"md-header--shadow\", active && !hidden)\n el.hidden = hidden\n })\n\n /* Link to main area */\n main$.subscribe(push$)\n\n /* Create and return component */\n return header$\n .pipe(\n takeUntil(done$),\n map(state => ({ ref: el, ...state }))\n )\n })\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n EMPTY,\n Observable,\n Subject,\n defer,\n distinctUntilKeyChanged,\n finalize,\n map,\n tap\n} from \"rxjs\"\n\nimport {\n Viewport,\n getElementSize,\n getOptionalElement,\n watchViewportAt\n} from \"~/browser\"\n\nimport { Component } from \"../../_\"\nimport { Header } from \"../_\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Header\n */\nexport interface HeaderTitle {\n active: boolean /* Header title is active */\n}\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch options\n */\ninterface WatchOptions {\n viewport$: Observable /* Viewport observable */\n header$: Observable
    /* Header observable */\n}\n\n/**\n * Mount options\n */\ninterface MountOptions {\n viewport$: Observable /* Viewport observable */\n header$: Observable
    /* Header observable */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch header title\n *\n * @param el - Heading element\n * @param options - Options\n *\n * @returns Header title observable\n */\nexport function watchHeaderTitle(\n el: HTMLElement, { viewport$, header$ }: WatchOptions\n): Observable {\n return watchViewportAt(el, { viewport$, header$ })\n .pipe(\n map(({ offset: { y } }) => {\n const { height } = getElementSize(el)\n return {\n active: y >= height\n }\n }),\n distinctUntilKeyChanged(\"active\")\n )\n}\n\n/**\n * Mount header title\n *\n * This function swaps the header title from the site title to the title of the\n * current page when the user scrolls past the first headline.\n *\n * @param el - Header title element\n * @param options - Options\n *\n * @returns Header title component observable\n */\nexport function mountHeaderTitle(\n el: HTMLElement, options: MountOptions\n): Observable> {\n return defer(() => {\n const push$ = new Subject()\n push$.subscribe(({ active }) => {\n el.classList.toggle(\"md-header__title--active\", active)\n })\n\n /* Obtain headline, if any */\n const heading = getOptionalElement(\"article h1\")\n if (typeof heading === \"undefined\")\n return EMPTY\n\n /* Create and return component */\n return watchHeaderTitle(heading, options)\n .pipe(\n tap(state => push$.next(state)),\n finalize(() => push$.complete()),\n map(state => ({ ref: el, ...state }))\n )\n })\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n Observable,\n combineLatest,\n distinctUntilChanged,\n distinctUntilKeyChanged,\n map,\n switchMap\n} from \"rxjs\"\n\nimport {\n Viewport,\n watchElementSize\n} from \"~/browser\"\n\nimport { Header } from \"../header\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Main area\n */\nexport interface Main {\n offset: number /* Main area top offset */\n height: number /* Main area visible height */\n active: boolean /* Main area is active */\n}\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch options\n */\ninterface WatchOptions {\n viewport$: Observable /* Viewport observable */\n header$: Observable
    /* Header observable */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch main area\n *\n * This function returns an observable that computes the visual parameters of\n * the main area which depends on the viewport vertical offset and height, as\n * well as the height of the header element, if the header is fixed.\n *\n * @param el - Main area element\n * @param options - Options\n *\n * @returns Main area observable\n */\nexport function watchMain(\n el: HTMLElement, { viewport$, header$ }: WatchOptions\n): Observable
    {\n\n /* Compute necessary adjustment for header */\n const adjust$ = header$\n .pipe(\n map(({ height }) => height),\n distinctUntilChanged()\n )\n\n /* Compute the main area's top and bottom borders */\n const border$ = adjust$\n .pipe(\n switchMap(() => watchElementSize(el)\n .pipe(\n map(({ height }) => ({\n top: el.offsetTop,\n bottom: el.offsetTop + height\n })),\n distinctUntilKeyChanged(\"bottom\")\n )\n )\n )\n\n /* Compute the main area's offset, visible height and if we scrolled past */\n return combineLatest([adjust$, border$, viewport$])\n .pipe(\n map(([header, { top, bottom }, { offset: { y }, size: { height } }]) => {\n height = Math.max(0, height\n - Math.max(0, top - y, header)\n - Math.max(0, height + y - bottom)\n )\n return {\n offset: top - header,\n height,\n active: top - header <= y\n }\n }),\n distinctUntilChanged((a, b) => (\n a.offset === b.offset &&\n a.height === b.height &&\n a.active === b.active\n ))\n )\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n Observable,\n Subject,\n asyncScheduler,\n defer,\n finalize,\n fromEvent,\n map,\n mergeMap,\n observeOn,\n of,\n shareReplay,\n startWith,\n tap\n} from \"rxjs\"\n\nimport { getElements } from \"~/browser\"\n\nimport { Component } from \"../_\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Palette colors\n */\nexport interface PaletteColor {\n scheme?: string /* Color scheme */\n primary?: string /* Primary color */\n accent?: string /* Accent color */\n}\n\n/**\n * Palette\n */\nexport interface Palette {\n index: number /* Palette index */\n color: PaletteColor /* Palette colors */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch color palette\n *\n * @param inputs - Color palette element\n *\n * @returns Color palette observable\n */\nexport function watchPalette(\n inputs: HTMLInputElement[]\n): Observable {\n const current = __md_get(\"__palette\") || {\n index: inputs.findIndex(input => matchMedia(\n input.getAttribute(\"data-md-color-media\")!\n ).matches)\n }\n\n /* Emit changes in color palette */\n return of(...inputs)\n .pipe(\n mergeMap(input => fromEvent(input, \"change\")\n .pipe(\n map(() => input)\n )\n ),\n startWith(inputs[Math.max(0, current.index)]),\n map(input => ({\n index: inputs.indexOf(input),\n color: {\n scheme: input.getAttribute(\"data-md-color-scheme\"),\n primary: input.getAttribute(\"data-md-color-primary\"),\n accent: input.getAttribute(\"data-md-color-accent\")\n }\n } as Palette)),\n shareReplay(1)\n )\n}\n\n/**\n * Mount color palette\n *\n * @param el - Color palette element\n *\n * @returns Color palette component observable\n */\nexport function mountPalette(\n el: HTMLElement\n): Observable> {\n return defer(() => {\n const push$ = new Subject()\n push$.subscribe(palette => {\n document.body.setAttribute(\"data-md-color-switching\", \"\")\n\n /* Set color palette */\n for (const [key, value] of Object.entries(palette.color))\n document.body.setAttribute(`data-md-color-${key}`, value)\n\n /* Toggle visibility */\n for (let index = 0; index < inputs.length; index++) {\n const label = inputs[index].nextElementSibling\n if (label instanceof HTMLElement)\n label.hidden = palette.index !== index\n }\n\n /* Persist preference in local storage */\n __md_set(\"__palette\", palette)\n })\n\n /* Revert transition durations after color switch */\n push$.pipe(observeOn(asyncScheduler))\n .subscribe(() => {\n document.body.removeAttribute(\"data-md-color-switching\")\n })\n\n /* Create and return component */\n const inputs = getElements(\"input\", el)\n return watchPalette(inputs)\n .pipe(\n tap(state => push$.next(state)),\n finalize(() => push$.complete()),\n map(state => ({ ref: el, ...state }))\n )\n })\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport ClipboardJS from \"clipboard\"\nimport {\n Observable,\n Subject,\n map,\n tap\n} from \"rxjs\"\n\nimport { translation } from \"~/_\"\nimport { getElement } from \"~/browser\"\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Setup options\n */\ninterface SetupOptions {\n alert$: Subject /* Alert subject */\n}\n\n/* ----------------------------------------------------------------------------\n * Helper functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Extract text to copy\n *\n * @param el - HTML element\n *\n * @returns Extracted text\n */\nfunction extract(el: HTMLElement): string {\n el.setAttribute(\"data-md-copying\", \"\")\n const text = el.innerText\n el.removeAttribute(\"data-md-copying\")\n return text\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Set up Clipboard.js integration\n *\n * @param options - Options\n */\nexport function setupClipboardJS(\n { alert$ }: SetupOptions\n): void {\n if (ClipboardJS.isSupported()) {\n new Observable(subscriber => {\n new ClipboardJS(\"[data-clipboard-target], [data-clipboard-text]\", {\n text: el => (\n el.getAttribute(\"data-clipboard-text\")! ||\n extract(getElement(\n el.getAttribute(\"data-clipboard-target\")!\n ))\n )\n })\n .on(\"success\", ev => subscriber.next(ev))\n })\n .pipe(\n tap(ev => {\n const trigger = ev.trigger as HTMLElement\n trigger.focus()\n }),\n map(() => translation(\"clipboard.copied\"))\n )\n .subscribe(alert$)\n }\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n EMPTY,\n Observable,\n catchError,\n defaultIfEmpty,\n map,\n of,\n tap\n} from \"rxjs\"\n\nimport { configuration } from \"~/_\"\nimport { getElements, requestXML } from \"~/browser\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Sitemap, i.e. a list of URLs\n */\nexport type Sitemap = string[]\n\n/* ----------------------------------------------------------------------------\n * Helper functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Preprocess a list of URLs\n *\n * This function replaces the `site_url` in the sitemap with the actual base\n * URL, to allow instant loading to work in occasions like Netlify previews.\n *\n * @param urls - URLs\n *\n * @returns URL path parts\n */\nfunction preprocess(urls: Sitemap): Sitemap {\n if (urls.length < 2)\n return [\"\"]\n\n /* Take the first two URLs and remove everything after the last slash */\n const [root, next] = [...urls]\n .sort((a, b) => a.length - b.length)\n .map(url => url.replace(/[^/]+$/, \"\"))\n\n /* Compute common prefix */\n let index = 0\n if (root === next)\n index = root.length\n else\n while (root.charCodeAt(index) === next.charCodeAt(index))\n index++\n\n /* Remove common prefix and return in original order */\n return urls.map(url => url.replace(root.slice(0, index), \"\"))\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Fetch the sitemap for the given base URL\n *\n * @param base - Base URL\n *\n * @returns Sitemap observable\n */\nexport function fetchSitemap(base?: URL): Observable {\n const cached = __md_get(\"__sitemap\", sessionStorage, base)\n if (cached) {\n return of(cached)\n } else {\n const config = configuration()\n return requestXML(new URL(\"sitemap.xml\", base || config.base))\n .pipe(\n map(sitemap => preprocess(getElements(\"loc\", sitemap)\n .map(node => node.textContent!)\n )),\n catchError(() => EMPTY), // @todo refactor instant loading\n defaultIfEmpty([]),\n tap(sitemap => __md_set(\"__sitemap\", sitemap, sessionStorage, base))\n )\n }\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n EMPTY,\n NEVER,\n Observable,\n Subject,\n bufferCount,\n catchError,\n concatMap,\n debounceTime,\n distinctUntilChanged,\n distinctUntilKeyChanged,\n filter,\n fromEvent,\n map,\n merge,\n of,\n sample,\n share,\n skip,\n skipUntil,\n switchMap\n} from \"rxjs\"\n\nimport { configuration, feature } from \"~/_\"\nimport {\n Viewport,\n ViewportOffset,\n getElements,\n getOptionalElement,\n request,\n setLocation,\n setLocationHash\n} from \"~/browser\"\nimport { getComponentElement } from \"~/components\"\nimport { h } from \"~/utilities\"\n\nimport { fetchSitemap } from \"../sitemap\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * History state\n */\nexport interface HistoryState {\n url: URL /* State URL */\n offset?: ViewportOffset /* State viewport offset */\n}\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Setup options\n */\ninterface SetupOptions {\n document$: Subject /* Document subject */\n location$: Subject /* Location subject */\n viewport$: Observable /* Viewport observable */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Set up instant loading\n *\n * When fetching, theoretically, we could use `responseType: \"document\"`, but\n * since all MkDocs links are relative, we need to make sure that the current\n * location matches the document we just loaded. Otherwise any relative links\n * in the document could use the old location.\n *\n * This is the reason why we need to synchronize history events and the process\n * of fetching the document for navigation changes (except `popstate` events):\n *\n * 1. Fetch document via `XMLHTTPRequest`\n * 2. Set new location via `history.pushState`\n * 3. Parse and emit fetched document\n *\n * For `popstate` events, we must not use `history.pushState`, or the forward\n * history will be irreversibly overwritten. In case the request fails, the\n * location change is dispatched regularly.\n *\n * @param options - Options\n */\nexport function setupInstantLoading(\n { document$, location$, viewport$ }: SetupOptions\n): void {\n const config = configuration()\n if (location.protocol === \"file:\")\n return\n\n /* Disable automatic scroll restoration */\n if (\"scrollRestoration\" in history) {\n history.scrollRestoration = \"manual\"\n\n /* Hack: ensure that reloads restore viewport offset */\n fromEvent(window, \"beforeunload\")\n .subscribe(() => {\n history.scrollRestoration = \"auto\"\n })\n }\n\n /* Hack: ensure absolute favicon link to omit 404s when switching */\n const favicon = getOptionalElement(\"link[rel=icon]\")\n if (typeof favicon !== \"undefined\")\n favicon.href = favicon.href\n\n /* Intercept internal navigation */\n const push$ = fetchSitemap()\n .pipe(\n map(paths => paths.map(path => `${new URL(path, config.base)}`)),\n switchMap(urls => fromEvent(document.body, \"click\")\n .pipe(\n filter(ev => !ev.metaKey && !ev.ctrlKey),\n switchMap(ev => {\n if (ev.target instanceof Element) {\n const el = ev.target.closest(\"a\")\n if (el && !el.target) {\n const url = new URL(el.href)\n\n /* Canonicalize URL */\n url.search = \"\"\n url.hash = \"\"\n\n /* Check if URL should be intercepted */\n if (\n url.pathname !== location.pathname &&\n urls.includes(url.toString())\n ) {\n ev.preventDefault()\n return of({\n url: new URL(el.href)\n })\n }\n }\n }\n return NEVER\n })\n )\n ),\n share()\n )\n\n /* Intercept history back and forward */\n const pop$ = fromEvent(window, \"popstate\")\n .pipe(\n filter(ev => ev.state !== null),\n map(ev => ({\n url: new URL(location.href),\n offset: ev.state\n })),\n share()\n )\n\n /* Emit location change */\n merge(push$, pop$)\n .pipe(\n distinctUntilChanged((a, b) => a.url.href === b.url.href),\n map(({ url }) => url)\n )\n .subscribe(location$)\n\n /* Fetch document via `XMLHTTPRequest` */\n const response$ = location$\n .pipe(\n distinctUntilKeyChanged(\"pathname\"),\n switchMap(url => request(url.href)\n .pipe(\n catchError(() => {\n setLocation(url)\n return NEVER\n })\n )\n ),\n share()\n )\n\n /* Set new location via `history.pushState` */\n push$\n .pipe(\n sample(response$)\n )\n .subscribe(({ url }) => {\n history.pushState({}, \"\", `${url}`)\n })\n\n /* Parse and emit fetched document */\n const dom = new DOMParser()\n response$\n .pipe(\n switchMap(res => res.text()),\n map(res => dom.parseFromString(res, \"text/html\"))\n )\n .subscribe(document$)\n\n /* Replace meta tags and components */\n document$\n .pipe(\n skip(1)\n )\n .subscribe(replacement => {\n for (const selector of [\n\n /* Meta tags */\n \"title\",\n \"link[rel=canonical]\",\n \"meta[name=author]\",\n \"meta[name=description]\",\n\n /* Components */\n \"[data-md-component=announce]\",\n \"[data-md-component=container]\",\n \"[data-md-component=header-topic]\",\n \"[data-md-component=outdated]\",\n \"[data-md-component=logo]\",\n \"[data-md-component=skip]\",\n ...feature(\"navigation.tabs.sticky\")\n ? [\"[data-md-component=tabs]\"]\n : []\n ]) {\n const source = getOptionalElement(selector)\n const target = getOptionalElement(selector, replacement)\n if (\n typeof source !== \"undefined\" &&\n typeof target !== \"undefined\"\n ) {\n source.replaceWith(target)\n }\n }\n })\n\n /* Re-evaluate scripts */\n document$\n .pipe(\n skip(1),\n map(() => getComponentElement(\"container\")),\n switchMap(el => getElements(\"script\", el)),\n concatMap(el => {\n const script = h(\"script\")\n if (el.src) {\n for (const name of el.getAttributeNames())\n script.setAttribute(name, el.getAttribute(name)!)\n el.replaceWith(script)\n\n /* Complete when script is loaded */\n return new Observable(observer => {\n script.onload = () => observer.complete()\n })\n\n /* Complete immediately */\n } else {\n script.textContent = el.textContent\n el.replaceWith(script)\n return EMPTY\n }\n })\n )\n .subscribe()\n\n /* Emit history state change */\n merge(push$, pop$)\n .pipe(\n sample(document$)\n )\n .subscribe(({ url, offset }) => {\n if (url.hash && !offset) {\n setLocationHash(url.hash)\n } else {\n window.scrollTo(0, offset?.y || 0)\n }\n })\n\n /* Debounce update of viewport offset */\n viewport$\n .pipe(\n skipUntil(push$),\n debounceTime(250),\n distinctUntilKeyChanged(\"offset\")\n )\n .subscribe(({ offset }) => {\n history.replaceState(offset, \"\")\n })\n\n /* Set viewport offset from history */\n merge(push$, pop$)\n .pipe(\n bufferCount(2, 1),\n filter(([a, b]) => a.url.pathname === b.url.pathname),\n map(([, state]) => state)\n )\n .subscribe(({ offset }) => {\n window.scrollTo(0, offset?.y || 0)\n })\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport escapeHTML from \"escape-html\"\n\nimport { SearchIndexDocument } from \"../_\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Search document\n */\nexport interface SearchDocument extends SearchIndexDocument {\n parent?: SearchIndexDocument /* Parent article */\n}\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Search document mapping\n */\nexport type SearchDocumentMap = Map\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Create a search document mapping\n *\n * @param docs - Search index documents\n *\n * @returns Search document map\n */\nexport function setupSearchDocumentMap(\n docs: SearchIndexDocument[]\n): SearchDocumentMap {\n const documents = new Map()\n const parents = new Set()\n for (const doc of docs) {\n const [path, hash] = doc.location.split(\"#\")\n\n /* Extract location, title and tags */\n const location = doc.location\n const title = doc.title\n const tags = doc.tags\n\n /* Escape and cleanup text */\n const text = escapeHTML(doc.text)\n .replace(/\\s+(?=[,.:;!?])/g, \"\")\n .replace(/\\s+/g, \" \")\n\n /* Handle section */\n if (hash) {\n const parent = documents.get(path)!\n\n /* Ignore first section, override article */\n if (!parents.has(parent)) {\n parent.title = doc.title\n parent.text = text\n\n /* Remember that we processed the article */\n parents.add(parent)\n\n /* Add subsequent section */\n } else {\n documents.set(location, {\n location,\n title,\n text,\n parent\n })\n }\n\n /* Add article */\n } else {\n documents.set(location, {\n location,\n title,\n text,\n ...tags && { tags }\n })\n }\n }\n return documents\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport escapeHTML from \"escape-html\"\n\nimport { SearchIndexConfig } from \"../_\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Search highlight function\n *\n * @param value - Value\n *\n * @returns Highlighted value\n */\nexport type SearchHighlightFn = (value: string) => string\n\n/**\n * Search highlight factory function\n *\n * @param query - Query value\n *\n * @returns Search highlight function\n */\nexport type SearchHighlightFactoryFn = (query: string) => SearchHighlightFn\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Create a search highlighter\n *\n * @param config - Search index configuration\n * @param escape - Whether to escape HTML\n *\n * @returns Search highlight factory function\n */\nexport function setupSearchHighlighter(\n config: SearchIndexConfig, escape: boolean\n): SearchHighlightFactoryFn {\n const separator = new RegExp(config.separator, \"img\")\n const highlight = (_: unknown, data: string, term: string) => {\n return `${data}${term}`\n }\n\n /* Return factory function */\n return (query: string) => {\n query = query\n .replace(/[\\s*+\\-:~^]+/g, \" \")\n .trim()\n\n /* Create search term match expression */\n const match = new RegExp(`(^|${config.separator})(${\n query\n .replace(/[|\\\\{}()[\\]^$+*?.-]/g, \"\\\\$&\")\n .replace(separator, \"|\")\n })`, \"img\")\n\n /* Highlight string value */\n return value => (\n escape\n ? escapeHTML(value)\n : value\n )\n .replace(match, highlight)\n .replace(/<\\/mark>(\\s+)]*>/img, \"$1\")\n }\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Search transformation function\n *\n * @param value - Query value\n *\n * @returns Transformed query value\n */\nexport type SearchTransformFn = (value: string) => string\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Default transformation function\n *\n * 1. Search for terms in quotation marks and prepend a `+` modifier to denote\n * that the resulting document must contain all terms, converting the query\n * to an `AND` query (as opposed to the default `OR` behavior). While users\n * may expect terms enclosed in quotation marks to map to span queries, i.e.\n * for which order is important, Lunr.js doesn't support them, so the best\n * we can do is to convert the terms to an `AND` query.\n *\n * 2. Replace control characters which are not located at the beginning of the\n * query or preceded by white space, or are not followed by a non-whitespace\n * character or are at the end of the query string. Furthermore, filter\n * unmatched quotation marks.\n *\n * 3. Trim excess whitespace from left and right.\n *\n * @param query - Query value\n *\n * @returns Transformed query value\n */\nexport function defaultTransform(query: string): string {\n return query\n .split(/\"([^\"]+)\"/g) /* => 1 */\n .map((terms, index) => index & 1\n ? terms.replace(/^\\b|^(?![^\\x00-\\x7F]|$)|\\s+/g, \" +\")\n : terms\n )\n .join(\"\")\n .replace(/\"|(?:^|\\s+)[*+\\-:^~]+(?=\\s+|$)/g, \"\") /* => 2 */\n .trim() /* => 3 */\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A RTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport { SearchIndex, SearchResult } from \"../../_\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Search message type\n */\nexport const enum SearchMessageType {\n SETUP, /* Search index setup */\n READY, /* Search index ready */\n QUERY, /* Search query */\n RESULT /* Search results */\n}\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Message containing the data necessary to setup the search index\n */\nexport interface SearchSetupMessage {\n type: SearchMessageType.SETUP /* Message type */\n data: SearchIndex /* Message data */\n}\n\n/**\n * Message indicating the search index is ready\n */\nexport interface SearchReadyMessage {\n type: SearchMessageType.READY /* Message type */\n}\n\n/**\n * Message containing a search query\n */\nexport interface SearchQueryMessage {\n type: SearchMessageType.QUERY /* Message type */\n data: string /* Message data */\n}\n\n/**\n * Message containing results for a search query\n */\nexport interface SearchResultMessage {\n type: SearchMessageType.RESULT /* Message type */\n data: SearchResult /* Message data */\n}\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Message exchanged with the search worker\n */\nexport type SearchMessage =\n | SearchSetupMessage\n | SearchReadyMessage\n | SearchQueryMessage\n | SearchResultMessage\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Type guard for search setup messages\n *\n * @param message - Search worker message\n *\n * @returns Test result\n */\nexport function isSearchSetupMessage(\n message: SearchMessage\n): message is SearchSetupMessage {\n return message.type === SearchMessageType.SETUP\n}\n\n/**\n * Type guard for search ready messages\n *\n * @param message - Search worker message\n *\n * @returns Test result\n */\nexport function isSearchReadyMessage(\n message: SearchMessage\n): message is SearchReadyMessage {\n return message.type === SearchMessageType.READY\n}\n\n/**\n * Type guard for search query messages\n *\n * @param message - Search worker message\n *\n * @returns Test result\n */\nexport function isSearchQueryMessage(\n message: SearchMessage\n): message is SearchQueryMessage {\n return message.type === SearchMessageType.QUERY\n}\n\n/**\n * Type guard for search result messages\n *\n * @param message - Search worker message\n *\n * @returns Test result\n */\nexport function isSearchResultMessage(\n message: SearchMessage\n): message is SearchResultMessage {\n return message.type === SearchMessageType.RESULT\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A RTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n ObservableInput,\n Subject,\n from,\n map,\n share\n} from \"rxjs\"\n\nimport { configuration, feature, translation } from \"~/_\"\nimport { WorkerHandler, watchWorker } from \"~/browser\"\n\nimport { SearchIndex } from \"../../_\"\nimport {\n SearchOptions,\n SearchPipeline\n} from \"../../options\"\nimport {\n SearchMessage,\n SearchMessageType,\n SearchSetupMessage,\n isSearchResultMessage\n} from \"../message\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Search worker\n */\nexport type SearchWorker = WorkerHandler\n\n/* ----------------------------------------------------------------------------\n * Helper functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Set up search index\n *\n * @param data - Search index\n *\n * @returns Search index\n */\nfunction setupSearchIndex({ config, docs }: SearchIndex): SearchIndex {\n\n /* Override default language with value from translation */\n if (config.lang.length === 1 && config.lang[0] === \"en\")\n config.lang = [\n translation(\"search.config.lang\")\n ]\n\n /* Override default separator with value from translation */\n if (config.separator === \"[\\\\s\\\\-]+\")\n config.separator = translation(\"search.config.separator\")\n\n /* Set pipeline from translation */\n const pipeline = translation(\"search.config.pipeline\")\n .split(/\\s*,\\s*/)\n .filter(Boolean) as SearchPipeline\n\n /* Determine search options */\n const options: SearchOptions = {\n pipeline,\n suggestions: feature(\"search.suggest\")\n }\n\n /* Return search index after defaulting */\n return { config, docs, options }\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Set up search worker\n *\n * This function creates a web worker to set up and query the search index,\n * which is done using Lunr.js. The index must be passed as an observable to\n * enable hacks like _localsearch_ via search index embedding as JSON.\n *\n * @param url - Worker URL\n * @param index - Search index observable input\n *\n * @returns Search worker\n */\nexport function setupSearchWorker(\n url: string, index: ObservableInput\n): SearchWorker {\n const config = configuration()\n const worker = new Worker(url)\n\n /* Create communication channels and resolve relative links */\n const tx$ = new Subject()\n const rx$ = watchWorker(worker, { tx$ })\n .pipe(\n map(message => {\n if (isSearchResultMessage(message)) {\n for (const result of message.data.items)\n for (const document of result)\n document.location = `${new URL(document.location, config.base)}`\n }\n return message\n }),\n share()\n )\n\n /* Set up search index */\n from(index)\n .pipe(\n map(data => ({\n type: SearchMessageType.SETUP,\n data: setupSearchIndex(data)\n } as SearchSetupMessage))\n )\n .subscribe(tx$.next.bind(tx$))\n\n /* Return search worker */\n return { tx$, rx$ }\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n EMPTY,\n Subject,\n catchError,\n combineLatest,\n filter,\n fromEvent,\n map,\n of,\n switchMap,\n withLatestFrom\n} from \"rxjs\"\n\nimport { configuration } from \"~/_\"\nimport {\n getElement,\n getLocation,\n requestJSON,\n setLocation\n} from \"~/browser\"\nimport { getComponentElements } from \"~/components\"\nimport {\n Version,\n renderVersionSelector\n} from \"~/templates\"\n\nimport { fetchSitemap } from \"../sitemap\"\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Setup options\n */\ninterface SetupOptions {\n document$: Subject /* Document subject */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Set up version selector\n *\n * @param options - Options\n */\nexport function setupVersionSelector(\n { document$ }: SetupOptions\n): void {\n const config = configuration()\n const versions$ = requestJSON(\n new URL(\"../versions.json\", config.base)\n )\n .pipe(\n catchError(() => EMPTY) // @todo refactor instant loading\n )\n\n /* Determine current version */\n const current$ = versions$\n .pipe(\n map(versions => {\n const [, current] = config.base.match(/([^/]+)\\/?$/)!\n return versions.find(({ version, aliases }) => (\n version === current || aliases.includes(current)\n )) || versions[0]\n })\n )\n\n /* Intercept inter-version navigation */\n versions$\n .pipe(\n map(versions => new Map(versions.map(version => [\n `${new URL(`../${version.version}/`, config.base)}`,\n version\n ]))),\n switchMap(urls => fromEvent(document.body, \"click\")\n .pipe(\n filter(ev => !ev.metaKey && !ev.ctrlKey),\n withLatestFrom(current$),\n switchMap(([ev, current]) => {\n if (ev.target instanceof Element) {\n const el = ev.target.closest(\"a\")\n if (el && !el.target && urls.has(el.href)) {\n const url = el.href\n // This is a temporary hack to detect if a version inside the\n // version selector or on another part of the site was clicked.\n // If we're inside the version selector, we definitely want to\n // find the same page, as we might have different deployments\n // due to aliases. However, if we're outside the version\n // selector, we must abort here, because we might otherwise\n // interfere with instant loading. We need to refactor this\n // at some point together with instant loading.\n //\n // See https://github.com/squidfunk/mkdocs-material/issues/4012\n if (!ev.target.closest(\".md-version\")) {\n const version = urls.get(url)!\n if (version === current)\n return EMPTY\n }\n ev.preventDefault()\n return of(url)\n }\n }\n return EMPTY\n }),\n switchMap(url => {\n const { version } = urls.get(url)!\n return fetchSitemap(new URL(url))\n .pipe(\n map(sitemap => {\n const location = getLocation()\n const path = location.href.replace(config.base, \"\")\n return sitemap.includes(path.split(\"#\")[0])\n ? new URL(`../${version}/${path}`, config.base)\n : new URL(url)\n })\n )\n })\n )\n )\n )\n .subscribe(url => setLocation(url))\n\n /* Render version selector and warning */\n combineLatest([versions$, current$])\n .subscribe(([versions, current]) => {\n const topic = getElement(\".md-header__topic\")\n topic.appendChild(renderVersionSelector(versions, current))\n })\n\n /* Integrate outdated version banner with instant loading */\n document$.pipe(switchMap(() => current$))\n .subscribe(current => {\n\n /* Check if version state was already determined */\n let outdated = __md_get(\"__outdated\", sessionStorage)\n if (outdated === null) {\n const latest = config.version?.default || \"latest\"\n outdated = !current.aliases.includes(latest)\n\n /* Persist version state in session storage */\n __md_set(\"__outdated\", outdated, sessionStorage)\n }\n\n /* Unhide outdated version banner */\n if (outdated)\n for (const warning of getComponentElements(\"outdated\"))\n warning.hidden = false\n })\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n Observable,\n Subject,\n combineLatest,\n delay,\n distinctUntilChanged,\n distinctUntilKeyChanged,\n filter,\n finalize,\n fromEvent,\n map,\n merge,\n share,\n shareReplay,\n startWith,\n take,\n takeLast,\n takeUntil,\n tap\n} from \"rxjs\"\n\nimport { translation } from \"~/_\"\nimport {\n getLocation,\n setToggle,\n watchElementFocus,\n watchToggle\n} from \"~/browser\"\nimport {\n SearchMessageType,\n SearchQueryMessage,\n SearchWorker,\n defaultTransform,\n isSearchReadyMessage\n} from \"~/integrations\"\n\nimport { Component } from \"../../_\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Search query\n */\nexport interface SearchQuery {\n value: string /* Query value */\n focus: boolean /* Query focus */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch search query\n *\n * Note that the focus event which triggers re-reading the current query value\n * is delayed by `1ms` so the input's empty state is allowed to propagate.\n *\n * @param el - Search query element\n * @param worker - Search worker\n *\n * @returns Search query observable\n */\nexport function watchSearchQuery(\n el: HTMLInputElement, { rx$ }: SearchWorker\n): Observable {\n const fn = __search?.transform || defaultTransform\n\n /* Immediately show search dialog */\n const { searchParams } = getLocation()\n if (searchParams.has(\"q\"))\n setToggle(\"search\", true)\n\n /* Intercept query parameter (deep link) */\n const param$ = rx$\n .pipe(\n filter(isSearchReadyMessage),\n take(1),\n map(() => searchParams.get(\"q\") || \"\")\n )\n\n /* Remove query parameter when search is closed */\n watchToggle(\"search\")\n .pipe(\n filter(active => !active),\n take(1)\n )\n .subscribe(() => {\n const url = new URL(location.href)\n url.searchParams.delete(\"q\")\n history.replaceState({}, \"\", `${url}`)\n })\n\n /* Set query from parameter */\n param$.subscribe(value => { // TODO: not ideal - find a better way\n if (value) {\n el.value = value\n el.focus()\n }\n })\n\n /* Intercept focus and input events */\n const focus$ = watchElementFocus(el)\n const value$ = merge(\n fromEvent(el, \"keyup\"),\n fromEvent(el, \"focus\").pipe(delay(1)),\n param$\n )\n .pipe(\n map(() => fn(el.value)),\n startWith(\"\"),\n distinctUntilChanged(),\n )\n\n /* Combine into single observable */\n return combineLatest([value$, focus$])\n .pipe(\n map(([value, focus]) => ({ value, focus })),\n shareReplay(1)\n )\n}\n\n/**\n * Mount search query\n *\n * @param el - Search query element\n * @param worker - Search worker\n *\n * @returns Search query component observable\n */\nexport function mountSearchQuery(\n el: HTMLInputElement, { tx$, rx$ }: SearchWorker\n): Observable> {\n const push$ = new Subject()\n const done$ = push$.pipe(takeLast(1))\n\n /* Handle value changes */\n push$\n .pipe(\n distinctUntilKeyChanged(\"value\"),\n map(({ value }): SearchQueryMessage => ({\n type: SearchMessageType.QUERY,\n data: value\n }))\n )\n .subscribe(tx$.next.bind(tx$))\n\n /* Handle focus changes */\n push$\n .pipe(\n distinctUntilKeyChanged(\"focus\")\n )\n .subscribe(({ focus }) => {\n if (focus) {\n setToggle(\"search\", focus)\n el.placeholder = \"\"\n } else {\n el.placeholder = translation(\"search.placeholder\")\n }\n })\n\n /* Handle reset */\n fromEvent(el.form!, \"reset\")\n .pipe(\n takeUntil(done$)\n )\n .subscribe(() => el.focus())\n\n /* Create and return component */\n return watchSearchQuery(el, { tx$, rx$ })\n .pipe(\n tap(state => push$.next(state)),\n finalize(() => push$.complete()),\n map(state => ({ ref: el, ...state })),\n share()\n )\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n Observable,\n Subject,\n bufferCount,\n filter,\n finalize,\n map,\n merge,\n of,\n skipUntil,\n switchMap,\n take,\n tap,\n withLatestFrom,\n zipWith\n} from \"rxjs\"\n\nimport { translation } from \"~/_\"\nimport {\n getElement,\n watchElementBoundary\n} from \"~/browser\"\nimport {\n SearchResult,\n SearchWorker,\n isSearchReadyMessage,\n isSearchResultMessage\n} from \"~/integrations\"\nimport { renderSearchResultItem } from \"~/templates\"\nimport { round } from \"~/utilities\"\n\nimport { Component } from \"../../_\"\nimport { SearchQuery } from \"../query\"\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Mount options\n */\ninterface MountOptions {\n query$: Observable /* Search query observable */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Mount search result list\n *\n * This function performs a lazy rendering of the search results, depending on\n * the vertical offset of the search result container.\n *\n * @param el - Search result list element\n * @param worker - Search worker\n * @param options - Options\n *\n * @returns Search result list component observable\n */\nexport function mountSearchResult(\n el: HTMLElement, { rx$ }: SearchWorker, { query$ }: MountOptions\n): Observable> {\n const push$ = new Subject()\n const boundary$ = watchElementBoundary(el.parentElement!)\n .pipe(\n filter(Boolean)\n )\n\n /* Retrieve nested components */\n const meta = getElement(\":scope > :first-child\", el)\n const list = getElement(\":scope > :last-child\", el)\n\n /* Wait until search is ready */\n const ready$ = rx$\n .pipe(\n filter(isSearchReadyMessage),\n take(1)\n )\n\n /* Update search result metadata */\n push$\n .pipe(\n withLatestFrom(query$),\n skipUntil(ready$)\n )\n .subscribe(([{ items }, { value }]) => {\n if (value) {\n switch (items.length) {\n\n /* No results */\n case 0:\n meta.textContent = translation(\"search.result.none\")\n break\n\n /* One result */\n case 1:\n meta.textContent = translation(\"search.result.one\")\n break\n\n /* Multiple result */\n default:\n meta.textContent = translation(\n \"search.result.other\",\n round(items.length)\n )\n }\n } else {\n meta.textContent = translation(\"search.result.placeholder\")\n }\n })\n\n /* Update search result list */\n push$\n .pipe(\n tap(() => list.innerHTML = \"\"),\n switchMap(({ items }) => merge(\n of(...items.slice(0, 10)),\n of(...items.slice(10))\n .pipe(\n bufferCount(4),\n zipWith(boundary$),\n switchMap(([chunk]) => chunk)\n )\n ))\n )\n .subscribe(result => list.appendChild(\n renderSearchResultItem(result)\n ))\n\n /* Filter search result message */\n const result$ = rx$\n .pipe(\n filter(isSearchResultMessage),\n map(({ data }) => data)\n )\n\n /* Create and return component */\n return result$\n .pipe(\n tap(state => push$.next(state)),\n finalize(() => push$.complete()),\n map(state => ({ ref: el, ...state }))\n )\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n Observable,\n Subject,\n finalize,\n fromEvent,\n map,\n tap\n} from \"rxjs\"\n\nimport { getLocation } from \"~/browser\"\n\nimport { Component } from \"../../_\"\nimport { SearchQuery } from \"../query\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Search sharing\n */\nexport interface SearchShare {\n url: URL /* Deep link for sharing */\n}\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch options\n */\ninterface WatchOptions {\n query$: Observable /* Search query observable */\n}\n\n/**\n * Mount options\n */\ninterface MountOptions {\n query$: Observable /* Search query observable */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Mount search sharing\n *\n * @param _el - Search sharing element\n * @param options - Options\n *\n * @returns Search sharing observable\n */\nexport function watchSearchShare(\n _el: HTMLElement, { query$ }: WatchOptions\n): Observable {\n return query$\n .pipe(\n map(({ value }) => {\n const url = getLocation()\n url.hash = \"\"\n url.searchParams.delete(\"h\")\n url.searchParams.set(\"q\", value)\n return { url }\n })\n )\n}\n\n/**\n * Mount search sharing\n *\n * @param el - Search sharing element\n * @param options - Options\n *\n * @returns Search sharing component observable\n */\nexport function mountSearchShare(\n el: HTMLAnchorElement, options: MountOptions\n): Observable> {\n const push$ = new Subject()\n push$.subscribe(({ url }) => {\n el.setAttribute(\"data-clipboard-text\", el.href)\n el.href = `${url}`\n })\n\n /* Prevent following of link */\n fromEvent(el, \"click\")\n .subscribe(ev => ev.preventDefault())\n\n /* Create and return component */\n return watchSearchShare(el, options)\n .pipe(\n tap(state => push$.next(state)),\n finalize(() => push$.complete()),\n map(state => ({ ref: el, ...state }))\n )\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n Observable,\n Subject,\n asyncScheduler,\n combineLatestWith,\n distinctUntilChanged,\n filter,\n finalize,\n fromEvent,\n map,\n merge,\n observeOn,\n tap\n} from \"rxjs\"\n\nimport { Keyboard } from \"~/browser\"\nimport {\n SearchResult,\n SearchWorker,\n isSearchResultMessage\n} from \"~/integrations\"\n\nimport { Component, getComponentElement } from \"../../_\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Search suggestions\n */\nexport interface SearchSuggest {}\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Mount options\n */\ninterface MountOptions {\n keyboard$: Observable /* Keyboard observable */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Mount search suggestions\n *\n * This function will perform a lazy rendering of the search results, depending\n * on the vertical offset of the search result container.\n *\n * @param el - Search result list element\n * @param worker - Search worker\n * @param options - Options\n *\n * @returns Search result list component observable\n */\nexport function mountSearchSuggest(\n el: HTMLElement, { rx$ }: SearchWorker, { keyboard$ }: MountOptions\n): Observable> {\n const push$ = new Subject()\n\n /* Retrieve query component and track all changes */\n const query = getComponentElement(\"search-query\")\n const query$ = merge(\n fromEvent(query, \"keydown\"),\n fromEvent(query, \"focus\")\n )\n .pipe(\n observeOn(asyncScheduler),\n map(() => query.value),\n distinctUntilChanged(),\n )\n\n /* Update search suggestions */\n push$\n .pipe(\n combineLatestWith(query$),\n map(([{ suggestions }, value]) => {\n const words = value.split(/([\\s-]+)/)\n if (suggestions?.length && words[words.length - 1]) {\n const last = suggestions[suggestions.length - 1]\n if (last.startsWith(words[words.length - 1]))\n words[words.length - 1] = last\n } else {\n words.length = 0\n }\n return words\n })\n )\n .subscribe(words => el.innerHTML = words\n .join(\"\")\n .replace(/\\s/g, \" \")\n )\n\n /* Set up search keyboard handlers */\n keyboard$\n .pipe(\n filter(({ mode }) => mode === \"search\")\n )\n .subscribe(key => {\n switch (key.type) {\n\n /* Right arrow: accept current suggestion */\n case \"ArrowRight\":\n if (\n el.innerText.length &&\n query.selectionStart === query.value.length\n )\n query.value = el.innerText\n break\n }\n })\n\n /* Filter search result message */\n const result$ = rx$\n .pipe(\n filter(isSearchResultMessage),\n map(({ data }) => data)\n )\n\n /* Create and return component */\n return result$\n .pipe(\n tap(state => push$.next(state)),\n finalize(() => push$.complete()),\n map(() => ({ ref: el }))\n )\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n NEVER,\n Observable,\n ObservableInput,\n filter,\n merge,\n mergeWith,\n sample,\n take\n} from \"rxjs\"\n\nimport { configuration } from \"~/_\"\nimport {\n Keyboard,\n getActiveElement,\n getElements,\n setToggle\n} from \"~/browser\"\nimport {\n SearchIndex,\n SearchResult,\n isSearchQueryMessage,\n isSearchReadyMessage,\n setupSearchWorker\n} from \"~/integrations\"\n\nimport {\n Component,\n getComponentElement,\n getComponentElements\n} from \"../../_\"\nimport {\n SearchQuery,\n mountSearchQuery\n} from \"../query\"\nimport { mountSearchResult } from \"../result\"\nimport {\n SearchShare,\n mountSearchShare\n} from \"../share\"\nimport {\n SearchSuggest,\n mountSearchSuggest\n} from \"../suggest\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Search\n */\nexport type Search =\n | SearchQuery\n | SearchResult\n | SearchShare\n | SearchSuggest\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Mount options\n */\ninterface MountOptions {\n index$: ObservableInput /* Search index observable */\n keyboard$: Observable /* Keyboard observable */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Mount search\n *\n * This function sets up the search functionality, including the underlying\n * web worker and all keyboard bindings.\n *\n * @param el - Search element\n * @param options - Options\n *\n * @returns Search component observable\n */\nexport function mountSearch(\n el: HTMLElement, { index$, keyboard$ }: MountOptions\n): Observable> {\n const config = configuration()\n try {\n const url = __search?.worker || config.search\n const worker = setupSearchWorker(url, index$)\n\n /* Retrieve query and result components */\n const query = getComponentElement(\"search-query\", el)\n const result = getComponentElement(\"search-result\", el)\n\n /* Re-emit query when search is ready */\n const { tx$, rx$ } = worker\n tx$\n .pipe(\n filter(isSearchQueryMessage),\n sample(rx$.pipe(filter(isSearchReadyMessage))),\n take(1)\n )\n .subscribe(tx$.next.bind(tx$))\n\n /* Set up search keyboard handlers */\n keyboard$\n .pipe(\n filter(({ mode }) => mode === \"search\")\n )\n .subscribe(key => {\n const active = getActiveElement()\n switch (key.type) {\n\n /* Enter: go to first (best) result */\n case \"Enter\":\n if (active === query) {\n const anchors = new Map()\n for (const anchor of getElements(\n \":first-child [href]\", result\n )) {\n const article = anchor.firstElementChild!\n anchors.set(anchor, parseFloat(\n article.getAttribute(\"data-md-score\")!\n ))\n }\n\n /* Go to result with highest score, if any */\n if (anchors.size) {\n const [[best]] = [...anchors].sort(([, a], [, b]) => b - a)\n best.click()\n }\n\n /* Otherwise omit form submission */\n key.claim()\n }\n break\n\n /* Escape or Tab: close search */\n case \"Escape\":\n case \"Tab\":\n setToggle(\"search\", false)\n query.blur()\n break\n\n /* Vertical arrows: select previous or next search result */\n case \"ArrowUp\":\n case \"ArrowDown\":\n if (typeof active === \"undefined\") {\n query.focus()\n } else {\n const els = [query, ...getElements(\n \":not(details) > [href], summary, details[open] [href]\",\n result\n )]\n const i = Math.max(0, (\n Math.max(0, els.indexOf(active)) + els.length + (\n key.type === \"ArrowUp\" ? -1 : +1\n )\n ) % els.length)\n els[i].focus()\n }\n\n /* Prevent scrolling of page */\n key.claim()\n break\n\n /* All other keys: hand to search query */\n default:\n if (query !== getActiveElement())\n query.focus()\n }\n })\n\n /* Set up global keyboard handlers */\n keyboard$\n .pipe(\n filter(({ mode }) => mode === \"global\"),\n )\n .subscribe(key => {\n switch (key.type) {\n\n /* Open search and select query */\n case \"f\":\n case \"s\":\n case \"/\":\n query.focus()\n query.select()\n\n /* Prevent scrolling of page */\n key.claim()\n break\n }\n })\n\n /* Create and return component */\n const query$ = mountSearchQuery(query, worker)\n const result$ = mountSearchResult(result, worker, { query$ })\n return merge(query$, result$)\n .pipe(\n mergeWith(\n\n /* Search sharing */\n ...getComponentElements(\"search-share\", el)\n .map(child => mountSearchShare(child, { query$ })),\n\n /* Search suggestions */\n ...getComponentElements(\"search-suggest\", el)\n .map(child => mountSearchSuggest(child, worker, { keyboard$ }))\n )\n )\n\n /* Gracefully handle broken search */\n } catch (err) {\n el.hidden = true\n return NEVER\n }\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n Observable,\n ObservableInput,\n combineLatest,\n filter,\n map,\n startWith\n} from \"rxjs\"\n\nimport { getLocation } from \"~/browser\"\nimport {\n SearchIndex,\n setupSearchHighlighter\n} from \"~/integrations\"\nimport { h } from \"~/utilities\"\n\nimport { Component } from \"../../_\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Search highlighting\n */\nexport interface SearchHighlight {\n nodes: Map /* Map of replacements */\n}\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Mount options\n */\ninterface MountOptions {\n index$: ObservableInput /* Search index observable */\n location$: Observable /* Location observable */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Mount search highlighting\n *\n * @param el - Content element\n * @param options - Options\n *\n * @returns Search highlighting component observable\n */\nexport function mountSearchHiglight(\n el: HTMLElement, { index$, location$ }: MountOptions\n): Observable> {\n return combineLatest([\n index$,\n location$\n .pipe(\n startWith(getLocation()),\n filter(url => !!url.searchParams.get(\"h\"))\n )\n ])\n .pipe(\n map(([index, url]) => setupSearchHighlighter(index.config, true)(\n url.searchParams.get(\"h\")!\n )),\n map(fn => {\n const nodes = new Map()\n\n /* Traverse text nodes and collect matches */\n const it = document.createNodeIterator(el, NodeFilter.SHOW_TEXT)\n for (let node = it.nextNode(); node; node = it.nextNode()) {\n if (node.parentElement?.offsetHeight) {\n const original = node.textContent!\n const replaced = fn(original)\n if (replaced.length > original.length)\n nodes.set(node as ChildNode, replaced)\n }\n }\n\n /* Replace original nodes with matches */\n for (const [node, text] of nodes) {\n const { childNodes } = h(\"span\", null, text)\n node.replaceWith(...Array.from(childNodes))\n }\n\n /* Return component */\n return { ref: el, nodes }\n })\n )\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n Observable,\n Subject,\n animationFrameScheduler,\n auditTime,\n combineLatest,\n defer,\n distinctUntilChanged,\n finalize,\n map,\n observeOn,\n take,\n tap,\n withLatestFrom\n} from \"rxjs\"\n\nimport {\n Viewport,\n getElement,\n getElementContainer,\n getElementOffset,\n getElementSize,\n getElements\n} from \"~/browser\"\n\nimport { Component } from \"../_\"\nimport { Header } from \"../header\"\nimport { Main } from \"../main\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Sidebar\n */\nexport interface Sidebar {\n height: number /* Sidebar height */\n locked: boolean /* Sidebar is locked */\n}\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch options\n */\ninterface WatchOptions {\n viewport$: Observable /* Viewport observable */\n main$: Observable
    /* Main area observable */\n}\n\n/**\n * Mount options\n */\ninterface MountOptions {\n viewport$: Observable /* Viewport observable */\n header$: Observable
    /* Header observable */\n main$: Observable
    /* Main area observable */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch sidebar\n *\n * This function returns an observable that computes the visual parameters of\n * the sidebar which depends on the vertical viewport offset, as well as the\n * height of the main area. When the page is scrolled beyond the header, the\n * sidebar is locked and fills the remaining space.\n *\n * @param el - Sidebar element\n * @param options - Options\n *\n * @returns Sidebar observable\n */\nexport function watchSidebar(\n el: HTMLElement, { viewport$, main$ }: WatchOptions\n): Observable {\n const parent = el.parentElement!\n const adjust =\n parent.offsetTop -\n parent.parentElement!.offsetTop\n\n /* Compute the sidebar's available height and if it should be locked */\n return combineLatest([main$, viewport$])\n .pipe(\n map(([{ offset, height }, { offset: { y } }]) => {\n height = height\n + Math.min(adjust, Math.max(0, y - offset))\n - adjust\n return {\n height,\n locked: y >= offset + adjust\n }\n }),\n distinctUntilChanged((a, b) => (\n a.height === b.height &&\n a.locked === b.locked\n ))\n )\n}\n\n/**\n * Mount sidebar\n *\n * This function doesn't set the height of the actual sidebar, but of its first\n * child \u2013 the `.md-sidebar__scrollwrap` element in order to mitigiate jittery\n * sidebars when the footer is scrolled into view. At some point we switched\n * from `absolute` / `fixed` positioning to `sticky` positioning, significantly\n * reducing jitter in some browsers (respectively Firefox and Safari) when\n * scrolling from the top. However, top-aligned sticky positioning means that\n * the sidebar snaps to the bottom when the end of the container is reached.\n * This is what leads to the mentioned jitter, as the sidebar's height may be\n * updated too slowly.\n *\n * This behaviour can be mitigiated by setting the height of the sidebar to `0`\n * while preserving the padding, and the height on its first element.\n *\n * @param el - Sidebar element\n * @param options - Options\n *\n * @returns Sidebar component observable\n */\nexport function mountSidebar(\n el: HTMLElement, { header$, ...options }: MountOptions\n): Observable> {\n const inner = getElement(\".md-sidebar__scrollwrap\", el)\n const { y } = getElementOffset(inner)\n return defer(() => {\n const push$ = new Subject()\n push$\n .pipe(\n auditTime(0, animationFrameScheduler),\n withLatestFrom(header$)\n )\n .subscribe({\n\n /* Handle emission */\n next([{ height }, { height: offset }]) {\n inner.style.height = `${height - 2 * y}px`\n el.style.top = `${offset}px`\n },\n\n /* Handle complete */\n complete() {\n inner.style.height = \"\"\n el.style.top = \"\"\n }\n })\n\n /* Bring active item into view on initial load */\n push$\n .pipe(\n observeOn(animationFrameScheduler),\n take(1)\n )\n .subscribe(() => {\n for (const item of getElements(\".md-nav__link--active[href]\", el)) {\n const container = getElementContainer(item)\n if (typeof container !== \"undefined\") {\n const offset = item.offsetTop - container.offsetTop\n const { height } = getElementSize(container)\n container.scrollTo({\n top: offset - height / 2\n })\n }\n }\n })\n\n /* Create and return component */\n return watchSidebar(el, options)\n .pipe(\n tap(state => push$.next(state)),\n finalize(() => push$.complete()),\n map(state => ({ ref: el, ...state }))\n )\n })\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport { Repo, User } from \"github-types\"\nimport {\n EMPTY,\n Observable,\n catchError,\n defaultIfEmpty,\n map,\n zip\n} from \"rxjs\"\n\nimport { requestJSON } from \"~/browser\"\n\nimport { SourceFacts } from \"../_\"\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * GitHub release (partial)\n */\ninterface Release {\n tag_name: string /* Tag name */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Fetch GitHub repository facts\n *\n * @param user - GitHub user or organization\n * @param repo - GitHub repository\n *\n * @returns Repository facts observable\n */\nexport function fetchSourceFactsFromGitHub(\n user: string, repo?: string\n): Observable {\n if (typeof repo !== \"undefined\") {\n const url = `https://api.github.com/repos/${user}/${repo}`\n return zip(\n\n /* Fetch version */\n requestJSON(`${url}/releases/latest`)\n .pipe(\n catchError(() => EMPTY), // @todo refactor instant loading\n map(release => ({\n version: release.tag_name\n })),\n defaultIfEmpty({})\n ),\n\n /* Fetch stars and forks */\n requestJSON(url)\n .pipe(\n catchError(() => EMPTY), // @todo refactor instant loading\n map(info => ({\n stars: info.stargazers_count,\n forks: info.forks_count\n })),\n defaultIfEmpty({})\n )\n )\n .pipe(\n map(([release, info]) => ({ ...release, ...info }))\n )\n\n /* User or organization */\n } else {\n const url = `https://api.github.com/users/${user}`\n return requestJSON(url)\n .pipe(\n map(info => ({\n repositories: info.public_repos\n })),\n defaultIfEmpty({})\n )\n }\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport { ProjectSchema } from \"gitlab\"\nimport {\n EMPTY,\n Observable,\n catchError,\n defaultIfEmpty,\n map\n} from \"rxjs\"\n\nimport { requestJSON } from \"~/browser\"\n\nimport { SourceFacts } from \"../_\"\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Fetch GitLab repository facts\n *\n * @param base - GitLab base\n * @param project - GitLab project\n *\n * @returns Repository facts observable\n */\nexport function fetchSourceFactsFromGitLab(\n base: string, project: string\n): Observable {\n const url = `https://${base}/api/v4/projects/${encodeURIComponent(project)}`\n return requestJSON(url)\n .pipe(\n catchError(() => EMPTY), // @todo refactor instant loading\n map(({ star_count, forks_count }) => ({\n stars: star_count,\n forks: forks_count\n })),\n defaultIfEmpty({})\n )\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport { EMPTY, Observable } from \"rxjs\"\n\nimport { fetchSourceFactsFromGitHub } from \"../github\"\nimport { fetchSourceFactsFromGitLab } from \"../gitlab\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Repository facts for repositories\n */\nexport interface RepositoryFacts {\n stars?: number /* Number of stars */\n forks?: number /* Number of forks */\n version?: string /* Latest version */\n}\n\n/**\n * Repository facts for organizations\n */\nexport interface OrganizationFacts {\n repositories?: number /* Number of repositories */\n}\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Repository facts\n */\nexport type SourceFacts =\n | RepositoryFacts\n | OrganizationFacts\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Fetch repository facts\n *\n * @param url - Repository URL\n *\n * @returns Repository facts observable\n */\nexport function fetchSourceFacts(\n url: string\n): Observable {\n\n /* Try to match GitHub repository */\n let match = url.match(/^.+github\\.com\\/([^/]+)\\/?([^/]+)?/i)\n if (match) {\n const [, user, repo] = match\n return fetchSourceFactsFromGitHub(user, repo)\n }\n\n /* Try to match GitLab repository */\n match = url.match(/^.+?([^/]*gitlab[^/]+)\\/(.+?)\\/?$/i)\n if (match) {\n const [, base, slug] = match\n return fetchSourceFactsFromGitLab(base, slug)\n }\n\n /* Fallback */\n return EMPTY\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n EMPTY,\n Observable,\n Subject,\n catchError,\n defer,\n filter,\n finalize,\n map,\n of,\n shareReplay,\n tap\n} from \"rxjs\"\n\nimport { getElement } from \"~/browser\"\nimport { ConsentDefaults } from \"~/components/consent\"\nimport { renderSourceFacts } from \"~/templates\"\n\nimport {\n Component,\n getComponentElements\n} from \"../../_\"\nimport {\n SourceFacts,\n fetchSourceFacts\n} from \"../facts\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Repository information\n */\nexport interface Source {\n facts: SourceFacts /* Repository facts */\n}\n\n/* ----------------------------------------------------------------------------\n * Data\n * ------------------------------------------------------------------------- */\n\n/**\n * Repository information observable\n */\nlet fetch$: Observable\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch repository information\n *\n * This function tries to read the repository facts from session storage, and\n * if unsuccessful, fetches them from the underlying provider.\n *\n * @param el - Repository information element\n *\n * @returns Repository information observable\n */\nexport function watchSource(\n el: HTMLAnchorElement\n): Observable {\n return fetch$ ||= defer(() => {\n const cached = __md_get(\"__source\", sessionStorage)\n if (cached) {\n return of(cached)\n } else {\n\n /* Check if consent is configured and was given */\n const els = getComponentElements(\"consent\")\n if (els.length) {\n const consent = __md_get(\"__consent\")\n if (!(consent && consent.github))\n return EMPTY\n }\n\n /* Fetch repository facts */\n return fetchSourceFacts(el.href)\n .pipe(\n tap(facts => __md_set(\"__source\", facts, sessionStorage))\n )\n }\n })\n .pipe(\n catchError(() => EMPTY),\n filter(facts => Object.keys(facts).length > 0),\n map(facts => ({ facts })),\n shareReplay(1)\n )\n}\n\n/**\n * Mount repository information\n *\n * @param el - Repository information element\n *\n * @returns Repository information component observable\n */\nexport function mountSource(\n el: HTMLAnchorElement\n): Observable> {\n const inner = getElement(\":scope > :last-child\", el)\n return defer(() => {\n const push$ = new Subject()\n push$.subscribe(({ facts }) => {\n inner.appendChild(renderSourceFacts(facts))\n inner.classList.add(\"md-source__repository--active\")\n })\n\n /* Create and return component */\n return watchSource(el)\n .pipe(\n tap(state => push$.next(state)),\n finalize(() => push$.complete()),\n map(state => ({ ref: el, ...state }))\n )\n })\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n Observable,\n Subject,\n defer,\n distinctUntilKeyChanged,\n finalize,\n map,\n of,\n switchMap,\n tap\n} from \"rxjs\"\n\nimport { feature } from \"~/_\"\nimport {\n Viewport,\n watchElementSize,\n watchViewportAt\n} from \"~/browser\"\n\nimport { Component } from \"../_\"\nimport { Header } from \"../header\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Navigation tabs\n */\nexport interface Tabs {\n hidden: boolean /* Navigation tabs are hidden */\n}\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch options\n */\ninterface WatchOptions {\n viewport$: Observable /* Viewport observable */\n header$: Observable
    /* Header observable */\n}\n\n/**\n * Mount options\n */\ninterface MountOptions {\n viewport$: Observable /* Viewport observable */\n header$: Observable
    /* Header observable */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch navigation tabs\n *\n * @param el - Navigation tabs element\n * @param options - Options\n *\n * @returns Navigation tabs observable\n */\nexport function watchTabs(\n el: HTMLElement, { viewport$, header$ }: WatchOptions\n): Observable {\n return watchElementSize(document.body)\n .pipe(\n switchMap(() => watchViewportAt(el, { header$, viewport$ })),\n map(({ offset: { y } }) => {\n return {\n hidden: y >= 10\n }\n }),\n distinctUntilKeyChanged(\"hidden\")\n )\n}\n\n/**\n * Mount navigation tabs\n *\n * This function hides the navigation tabs when scrolling past the threshold\n * and makes them reappear in a nice CSS animation when scrolling back up.\n *\n * @param el - Navigation tabs element\n * @param options - Options\n *\n * @returns Navigation tabs component observable\n */\nexport function mountTabs(\n el: HTMLElement, options: MountOptions\n): Observable> {\n return defer(() => {\n const push$ = new Subject()\n push$.subscribe({\n\n /* Handle emission */\n next({ hidden }) {\n el.hidden = hidden\n },\n\n /* Handle complete */\n complete() {\n el.hidden = false\n }\n })\n\n /* Create and return component */\n return (\n feature(\"navigation.tabs.sticky\")\n ? of({ hidden: false })\n : watchTabs(el, options)\n )\n .pipe(\n tap(state => push$.next(state)),\n finalize(() => push$.complete()),\n map(state => ({ ref: el, ...state }))\n )\n })\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n Observable,\n Subject,\n bufferCount,\n combineLatestWith,\n debounceTime,\n defer,\n distinctUntilChanged,\n distinctUntilKeyChanged,\n filter,\n finalize,\n map,\n merge,\n of,\n repeat,\n scan,\n share,\n skip,\n startWith,\n switchMap,\n takeLast,\n takeUntil,\n tap,\n withLatestFrom\n} from \"rxjs\"\n\nimport { feature } from \"~/_\"\nimport {\n Viewport,\n getElement,\n getElementContainer,\n getElementSize,\n getElements,\n getLocation,\n getOptionalElement,\n watchElementSize\n} from \"~/browser\"\n\nimport {\n Component,\n getComponentElement\n} from \"../_\"\nimport { Header } from \"../header\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Table of contents\n */\nexport interface TableOfContents {\n prev: HTMLAnchorElement[][] /* Anchors (previous) */\n next: HTMLAnchorElement[][] /* Anchors (next) */\n}\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch options\n */\ninterface WatchOptions {\n viewport$: Observable /* Viewport observable */\n header$: Observable
    /* Header observable */\n}\n\n/**\n * Mount options\n */\ninterface MountOptions {\n viewport$: Observable /* Viewport observable */\n header$: Observable
    /* Header observable */\n target$: Observable /* Location target observable */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch table of contents\n *\n * This is effectively a scroll spy implementation which will account for the\n * fixed header and automatically re-calculate anchor offsets when the viewport\n * is resized. The returned observable will only emit if the table of contents\n * needs to be repainted.\n *\n * This implementation tracks an anchor element's entire path starting from its\n * level up to the top-most anchor element, e.g. `[h3, h2, h1]`. Although the\n * Material theme currently doesn't make use of this information, it enables\n * the styling of the entire hierarchy through customization.\n *\n * Note that the current anchor is the last item of the `prev` anchor list.\n *\n * @param el - Table of contents element\n * @param options - Options\n *\n * @returns Table of contents observable\n */\nexport function watchTableOfContents(\n el: HTMLElement, { viewport$, header$ }: WatchOptions\n): Observable {\n const table = new Map()\n\n /* Compute anchor-to-target mapping */\n const anchors = getElements(\"[href^=\\\\#]\", el)\n for (const anchor of anchors) {\n const id = decodeURIComponent(anchor.hash.substring(1))\n const target = getOptionalElement(`[id=\"${id}\"]`)\n if (typeof target !== \"undefined\")\n table.set(anchor, target)\n }\n\n /* Compute necessary adjustment for header */\n const adjust$ = header$\n .pipe(\n distinctUntilKeyChanged(\"height\"),\n map(({ height }) => {\n const main = getComponentElement(\"main\")\n const grid = getElement(\":scope > :first-child\", main)\n return height + 0.8 * (\n grid.offsetTop -\n main.offsetTop\n )\n }),\n share()\n )\n\n /* Compute partition of previous and next anchors */\n const partition$ = watchElementSize(document.body)\n .pipe(\n distinctUntilKeyChanged(\"height\"),\n\n /* Build index to map anchor paths to vertical offsets */\n switchMap(body => defer(() => {\n let path: HTMLAnchorElement[] = []\n return of([...table].reduce((index, [anchor, target]) => {\n while (path.length) {\n const last = table.get(path[path.length - 1])!\n if (last.tagName >= target.tagName) {\n path.pop()\n } else {\n break\n }\n }\n\n /* If the current anchor is hidden, continue with its parent */\n let offset = target.offsetTop\n while (!offset && target.parentElement) {\n target = target.parentElement\n offset = target.offsetTop\n }\n\n /* Map reversed anchor path to vertical offset */\n return index.set(\n [...path = [...path, anchor]].reverse(),\n offset\n )\n }, new Map()))\n })\n .pipe(\n\n /* Sort index by vertical offset (see https://bit.ly/30z6QSO) */\n map(index => new Map([...index].sort(([, a], [, b]) => a - b))),\n combineLatestWith(adjust$),\n\n /* Re-compute partition when viewport offset changes */\n switchMap(([index, adjust]) => viewport$\n .pipe(\n scan(([prev, next], { offset: { y }, size }) => {\n const last = y + size.height >= Math.floor(body.height)\n\n /* Look forward */\n while (next.length) {\n const [, offset] = next[0]\n if (offset - adjust < y || last) {\n prev = [...prev, next.shift()!]\n } else {\n break\n }\n }\n\n /* Look backward */\n while (prev.length) {\n const [, offset] = prev[prev.length - 1]\n if (offset - adjust >= y && !last) {\n next = [prev.pop()!, ...next]\n } else {\n break\n }\n }\n\n /* Return partition */\n return [prev, next]\n }, [[], [...index]]),\n distinctUntilChanged((a, b) => (\n a[0] === b[0] &&\n a[1] === b[1]\n ))\n )\n )\n )\n )\n )\n\n /* Compute and return anchor list migrations */\n return partition$\n .pipe(\n map(([prev, next]) => ({\n prev: prev.map(([path]) => path),\n next: next.map(([path]) => path)\n })),\n\n /* Extract anchor list migrations */\n startWith({ prev: [], next: [] }),\n bufferCount(2, 1),\n map(([a, b]) => {\n\n /* Moving down */\n if (a.prev.length < b.prev.length) {\n return {\n prev: b.prev.slice(Math.max(0, a.prev.length - 1), b.prev.length),\n next: []\n }\n\n /* Moving up */\n } else {\n return {\n prev: b.prev.slice(-1),\n next: b.next.slice(0, b.next.length - a.next.length)\n }\n }\n })\n )\n}\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Mount table of contents\n *\n * @param el - Table of contents element\n * @param options - Options\n *\n * @returns Table of contents component observable\n */\nexport function mountTableOfContents(\n el: HTMLElement, { viewport$, header$, target$ }: MountOptions\n): Observable> {\n return defer(() => {\n const push$ = new Subject()\n const done$ = push$.pipe(takeLast(1))\n push$.subscribe(({ prev, next }) => {\n\n /* Look forward */\n for (const [anchor] of next) {\n anchor.classList.remove(\"md-nav__link--passed\")\n anchor.classList.remove(\"md-nav__link--active\")\n }\n\n /* Look backward */\n for (const [index, [anchor]] of prev.entries()) {\n anchor.classList.add(\"md-nav__link--passed\")\n anchor.classList.toggle(\n \"md-nav__link--active\",\n index === prev.length - 1\n )\n }\n })\n\n /* Set up following, if enabled */\n if (feature(\"toc.follow\")) {\n\n /* Toggle smooth scrolling only for anchor clicks */\n const smooth$ = merge(\n viewport$.pipe(debounceTime(1), map(() => undefined)),\n viewport$.pipe(debounceTime(250), map(() => \"smooth\" as const))\n )\n\n /* Bring active anchor into view */\n push$\n .pipe(\n filter(({ prev }) => prev.length > 0),\n withLatestFrom(smooth$)\n )\n .subscribe(([{ prev }, behavior]) => {\n const [anchor] = prev[prev.length - 1]\n if (anchor.offsetHeight) {\n\n /* Retrieve overflowing container and scroll */\n const container = getElementContainer(anchor)\n if (typeof container !== \"undefined\") {\n const offset = anchor.offsetTop - container.offsetTop\n const { height } = getElementSize(container)\n container.scrollTo({\n top: offset - height / 2,\n behavior\n })\n }\n }\n })\n }\n\n /* Set up anchor tracking, if enabled */\n if (feature(\"navigation.tracking\"))\n viewport$\n .pipe(\n takeUntil(done$),\n distinctUntilKeyChanged(\"offset\"),\n debounceTime(250),\n skip(1),\n takeUntil(target$.pipe(skip(1))),\n repeat({ delay: 250 }),\n withLatestFrom(push$)\n )\n .subscribe(([, { prev }]) => {\n const url = getLocation()\n\n /* Set hash fragment to active anchor */\n const anchor = prev[prev.length - 1]\n if (anchor && anchor.length) {\n const [active] = anchor\n const { hash } = new URL(active.href)\n if (url.hash !== hash) {\n url.hash = hash\n history.replaceState({}, \"\", `${url}`)\n }\n\n /* Reset anchor when at the top */\n } else {\n url.hash = \"\"\n history.replaceState({}, \"\", `${url}`)\n }\n })\n\n /* Create and return component */\n return watchTableOfContents(el, { viewport$, header$ })\n .pipe(\n tap(state => push$.next(state)),\n finalize(() => push$.complete()),\n map(state => ({ ref: el, ...state }))\n )\n })\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n Observable,\n Subject,\n bufferCount,\n combineLatest,\n distinctUntilChanged,\n distinctUntilKeyChanged,\n endWith,\n finalize,\n map,\n repeat,\n skip,\n takeLast,\n takeUntil,\n tap\n} from \"rxjs\"\n\nimport { Viewport } from \"~/browser\"\n\nimport { Component } from \"../_\"\nimport { Header } from \"../header\"\nimport { Main } from \"../main\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Back-to-top button\n */\nexport interface BackToTop {\n hidden: boolean /* Back-to-top button is hidden */\n}\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch options\n */\ninterface WatchOptions {\n viewport$: Observable /* Viewport observable */\n main$: Observable
    /* Main area observable */\n target$: Observable /* Location target observable */\n}\n\n/**\n * Mount options\n */\ninterface MountOptions {\n viewport$: Observable /* Viewport observable */\n header$: Observable
    /* Header observable */\n main$: Observable
    /* Main area observable */\n target$: Observable /* Location target observable */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch back-to-top\n *\n * @param _el - Back-to-top element\n * @param options - Options\n *\n * @returns Back-to-top observable\n */\nexport function watchBackToTop(\n _el: HTMLElement, { viewport$, main$, target$ }: WatchOptions\n): Observable {\n\n /* Compute direction */\n const direction$ = viewport$\n .pipe(\n map(({ offset: { y } }) => y),\n bufferCount(2, 1),\n map(([a, b]) => a > b && b > 0),\n distinctUntilChanged()\n )\n\n /* Compute whether main area is active */\n const active$ = main$\n .pipe(\n map(({ active }) => active)\n )\n\n /* Compute threshold for hiding */\n return combineLatest([active$, direction$])\n .pipe(\n map(([active, direction]) => !(active && direction)),\n distinctUntilChanged(),\n takeUntil(target$.pipe(skip(1))),\n endWith(true),\n repeat({ delay: 250 }),\n map(hidden => ({ hidden }))\n )\n}\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Mount back-to-top\n *\n * @param el - Back-to-top element\n * @param options - Options\n *\n * @returns Back-to-top component observable\n */\nexport function mountBackToTop(\n el: HTMLElement, { viewport$, header$, main$, target$ }: MountOptions\n): Observable> {\n const push$ = new Subject()\n const done$ = push$.pipe(takeLast(1))\n push$.subscribe({\n\n /* Handle emission */\n next({ hidden }) {\n el.hidden = hidden\n if (hidden) {\n el.setAttribute(\"tabindex\", \"-1\")\n el.blur()\n } else {\n el.removeAttribute(\"tabindex\")\n }\n },\n\n /* Handle complete */\n complete() {\n el.style.top = \"\"\n el.hidden = true\n el.removeAttribute(\"tabindex\")\n }\n })\n\n /* Watch header height */\n header$\n .pipe(\n takeUntil(done$),\n distinctUntilKeyChanged(\"height\")\n )\n .subscribe(({ height }) => {\n el.style.top = `${height + 16}px`\n })\n\n /* Create and return component */\n return watchBackToTop(el, { viewport$, main$, target$ })\n .pipe(\n tap(state => push$.next(state)),\n finalize(() => push$.complete()),\n map(state => ({ ref: el, ...state }))\n )\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n Observable,\n fromEvent,\n map,\n mergeMap,\n switchMap,\n takeWhile,\n tap,\n withLatestFrom\n} from \"rxjs\"\n\nimport { getElements } from \"~/browser\"\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Patch options\n */\ninterface PatchOptions {\n document$: Observable /* Document observable */\n tablet$: Observable /* Media tablet observable */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Patch indeterminate checkboxes\n *\n * This function replaces the indeterminate \"pseudo state\" with the actual\n * indeterminate state, which is used to keep navigation always expanded.\n *\n * @param options - Options\n */\nexport function patchIndeterminate(\n { document$, tablet$ }: PatchOptions\n): void {\n document$\n .pipe(\n switchMap(() => getElements(\n // @todo `data-md-state` is deprecated and removed in v9\n \".md-toggle--indeterminate, [data-md-state=indeterminate]\"\n )),\n tap(el => {\n el.indeterminate = true\n el.checked = false\n }),\n mergeMap(el => fromEvent(el, \"change\")\n .pipe(\n takeWhile(() => el.classList.contains(\"md-toggle--indeterminate\")),\n map(() => el)\n )\n ),\n withLatestFrom(tablet$)\n )\n .subscribe(([el, tablet]) => {\n el.classList.remove(\"md-toggle--indeterminate\")\n if (tablet)\n el.checked = false\n })\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n Observable,\n filter,\n fromEvent,\n map,\n mergeMap,\n switchMap,\n tap\n} from \"rxjs\"\n\nimport { getElements } from \"~/browser\"\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Patch options\n */\ninterface PatchOptions {\n document$: Observable /* Document observable */\n}\n\n/* ----------------------------------------------------------------------------\n * Helper functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Check whether the given device is an Apple device\n *\n * @returns Test result\n */\nfunction isAppleDevice(): boolean {\n return /(iPad|iPhone|iPod)/.test(navigator.userAgent)\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Patch all elements with `data-md-scrollfix` attributes\n *\n * This is a year-old patch which ensures that overflow scrolling works at the\n * top and bottom of containers on iOS by ensuring a `1px` scroll offset upon\n * the start of a touch event.\n *\n * @see https://bit.ly/2SCtAOO - Original source\n *\n * @param options - Options\n */\nexport function patchScrollfix(\n { document$ }: PatchOptions\n): void {\n document$\n .pipe(\n switchMap(() => getElements(\"[data-md-scrollfix]\")),\n tap(el => el.removeAttribute(\"data-md-scrollfix\")),\n filter(isAppleDevice),\n mergeMap(el => fromEvent(el, \"touchstart\")\n .pipe(\n map(() => el)\n )\n )\n )\n .subscribe(el => {\n const top = el.scrollTop\n\n /* We're at the top of the container */\n if (top === 0) {\n el.scrollTop = 1\n\n /* We're at the bottom of the container */\n } else if (top + el.offsetHeight === el.scrollHeight) {\n el.scrollTop = top - 1\n }\n })\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n Observable,\n combineLatest,\n delay,\n map,\n of,\n switchMap,\n withLatestFrom\n} from \"rxjs\"\n\nimport {\n Viewport,\n watchToggle\n} from \"~/browser\"\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Patch options\n */\ninterface PatchOptions {\n viewport$: Observable /* Viewport observable */\n tablet$: Observable /* Media tablet observable */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Patch the document body to lock when search is open\n *\n * For mobile and tablet viewports, the search is rendered full screen, which\n * leads to scroll leaking when at the top or bottom of the search result. This\n * function locks the body when the search is in full screen mode, and restores\n * the scroll position when leaving.\n *\n * @param options - Options\n */\nexport function patchScrolllock(\n { viewport$, tablet$ }: PatchOptions\n): void {\n combineLatest([watchToggle(\"search\"), tablet$])\n .pipe(\n map(([active, tablet]) => active && !tablet),\n switchMap(active => of(active)\n .pipe(\n delay(active ? 400 : 100)\n )\n ),\n withLatestFrom(viewport$)\n )\n .subscribe(([active, { offset: { y }}]) => {\n if (active) {\n document.body.setAttribute(\"data-md-scrolllock\", \"\")\n document.body.style.top = `-${y}px`\n } else {\n const value = -1 * parseInt(document.body.style.top, 10)\n document.body.removeAttribute(\"data-md-scrolllock\")\n document.body.style.top = \"\"\n if (value)\n window.scrollTo(0, value)\n }\n })\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\n/* ----------------------------------------------------------------------------\n * Polyfills\n * ------------------------------------------------------------------------- */\n\n/* Polyfill `Object.entries` */\nif (!Object.entries)\n Object.entries = function (obj: object) {\n const data: [string, string][] = []\n for (const key of Object.keys(obj))\n // @ts-expect-error - ignore property access warning\n data.push([key, obj[key]])\n\n /* Return entries */\n return data\n }\n\n/* Polyfill `Object.values` */\nif (!Object.values)\n Object.values = function (obj: object) {\n const data: string[] = []\n for (const key of Object.keys(obj))\n // @ts-expect-error - ignore property access warning\n 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IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n NEVER,\n ReplaySubject,\n delay,\n distinctUntilChanged,\n filter,\n finalize,\n fromEvent,\n interval,\n merge,\n mergeMap,\n of,\n repeat,\n switchMap,\n take,\n takeUntil,\n tap,\n withLatestFrom\n} from \"rxjs\"\n\n/* ----------------------------------------------------------------------------\n * Script\n * ------------------------------------------------------------------------- */\n\n/* Append container for instances */\nconst container = document.createElement(\"div\")\ndocument.body.appendChild(container)\n\n/* Append button next to palette toggle */\nconst header = document.querySelector(\".md-header__option\")\nif (header) {\n const button = document.createElement(\"button\")\n 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nu når og også om op os over på selv sig sin sine sit skal skulle som sådan thi til ud under var vi vil ville vor være været".split(" ")),e.Pipeline.registerFunction(e.da.stopWordFilter,"stopWordFilter-da")}}); \ No newline at end of file diff --git a/1.0.0/assets/javascripts/lunr/min/lunr.de.min.js b/1.0.0/assets/javascripts/lunr/min/lunr.de.min.js new file mode 100644 index 00000000..f3b5c108 --- /dev/null +++ b/1.0.0/assets/javascripts/lunr/min/lunr.de.min.js @@ -0,0 +1,18 @@ +/*! + * Lunr languages, `German` language + * https://github.com/MihaiValentin/lunr-languages + * + * Copyright 2014, Mihai Valentin + * http://www.mozilla.org/MPL/ + */ +/*! + * based on + * Snowball JavaScript Library v0.3 + * http://code.google.com/p/urim/ + * http://snowball.tartarus.org/ + * + * Copyright 2010, Oleg Mazko + * http://www.mozilla.org/MPL/ + */ + +!function(e,r){"function"==typeof define&&define.amd?define(r):"object"==typeof exports?module.exports=r():r()(e.lunr)}(this,function(){return function(e){if(void 0===e)throw new Error("Lunr is not present. 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andere anderem anderen anderer anderes anderm andern anderr anders auch auf aus bei bin bis bist da damit dann das dasselbe dazu daß dein deine deinem deinen deiner deines dem demselben den denn denselben der derer derselbe derselben des desselben dessen dich die dies diese dieselbe dieselben diesem diesen dieser dieses dir doch dort du durch ein eine einem einen einer eines einig einige einigem einigen einiger einiges einmal er es etwas euch euer eure eurem euren eurer eures für gegen gewesen hab habe haben hat hatte hatten hier hin hinter ich ihm ihn ihnen ihr ihre ihrem ihren ihrer ihres im in indem ins ist jede jedem jeden jeder jedes jene jenem jenen jener jenes jetzt kann kein keine keinem keinen keiner keines können könnte machen man manche manchem manchen mancher manches mein meine meinem meinen meiner meines mich mir mit muss musste nach nicht nichts noch nun nur ob oder ohne sehr sein seine seinem seinen seiner seines selbst sich sie sind so solche solchem solchen solcher solches soll sollte sondern sonst um und uns unse unsem unsen unser unses unter viel vom von vor war waren warst was weg weil weiter welche welchem welchen welcher welches wenn werde werden wie wieder will wir wird wirst wo wollen wollte während würde würden zu zum zur zwar zwischen über".split(" ")),e.Pipeline.registerFunction(e.de.stopWordFilter,"stopWordFilter-de")}}); \ No newline at end of file diff --git a/1.0.0/assets/javascripts/lunr/min/lunr.du.min.js b/1.0.0/assets/javascripts/lunr/min/lunr.du.min.js new file mode 100644 index 00000000..49a0f3f0 --- /dev/null +++ b/1.0.0/assets/javascripts/lunr/min/lunr.du.min.js @@ -0,0 +1,18 @@ +/*! + * Lunr languages, `Dutch` language + * https://github.com/MihaiValentin/lunr-languages + * + * Copyright 2014, Mihai Valentin + * http://www.mozilla.org/MPL/ + */ +/*! + * based on + * Snowball JavaScript Library v0.3 + * http://code.google.com/p/urim/ + * http://snowball.tartarus.org/ + * + * Copyright 2010, Oleg Mazko + * http://www.mozilla.org/MPL/ + */ + +!function(e,r){"function"==typeof define&&define.amd?define(r):"object"==typeof exports?module.exports=r():r()(e.lunr)}(this,function(){return function(e){if(void 0===e)throw new Error("Lunr is not present. 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b/1.0.0/assets/javascripts/lunr/min/lunr.es.min.js @@ -0,0 +1,18 @@ +/*! + * Lunr languages, `Spanish` language + * https://github.com/MihaiValentin/lunr-languages + * + * Copyright 2014, Mihai Valentin + * http://www.mozilla.org/MPL/ + */ +/*! + * based on + * Snowball JavaScript Library v0.3 + * http://code.google.com/p/urim/ + * http://snowball.tartarus.org/ + * + * Copyright 2010, Oleg Mazko + * http://www.mozilla.org/MPL/ + */ + +!function(e,s){"function"==typeof define&&define.amd?define(s):"object"==typeof exports?module.exports=s():s()(e.lunr)}(this,function(){return function(e){if(void 0===e)throw new Error("Lunr is not present. 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index 00000000..29f5dfce --- /dev/null +++ b/1.0.0/assets/javascripts/lunr/min/lunr.fi.min.js @@ -0,0 +1,18 @@ +/*! + * Lunr languages, `Finnish` language + * https://github.com/MihaiValentin/lunr-languages + * + * Copyright 2014, Mihai Valentin + * http://www.mozilla.org/MPL/ + */ +/*! + * based on + * Snowball JavaScript Library v0.3 + * http://code.google.com/p/urim/ + * http://snowball.tartarus.org/ + * + * Copyright 2010, Oleg Mazko + * http://www.mozilla.org/MPL/ + */ + +!function(i,e){"function"==typeof define&&define.amd?define(e):"object"==typeof exports?module.exports=e():e()(i.lunr)}(this,function(){return function(i){if(void 0===i)throw new Error("Lunr is not present. 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keressünk keresztül ki kívül között közül legalább legyen lehet lehetett lenne lenni lesz lett maga magát majd majd meg mellett mely melyek mert mi mikor milyen minden mindenki mindent mindig mint mintha mit mivel miért most már más másik még míg nagy nagyobb nagyon ne nekem neki nem nincs néha néhány nélkül olyan ott pedig persze rá s saját sem semmi sok sokat sokkal szemben szerint szinte számára talán tehát teljes tovább továbbá több ugyanis utolsó után utána vagy vagyis vagyok valaki valami valamint való van vannak vele vissza viszont volna volt voltak voltam voltunk által általában át én éppen és így õ õk õket össze úgy új újabb újra".split(" ")),e.Pipeline.registerFunction(e.hu.stopWordFilter,"stopWordFilter-hu")}}); \ No newline at end of file diff --git a/1.0.0/assets/javascripts/lunr/min/lunr.it.min.js b/1.0.0/assets/javascripts/lunr/min/lunr.it.min.js new file mode 100644 index 00000000..344b6a3c --- /dev/null +++ b/1.0.0/assets/javascripts/lunr/min/lunr.it.min.js @@ -0,0 +1,18 @@ +/*! + * Lunr languages, `Italian` language + * https://github.com/MihaiValentin/lunr-languages + * + * Copyright 2014, Mihai Valentin + * http://www.mozilla.org/MPL/ + */ +/*! + * based on + * Snowball JavaScript Library v0.3 + * http://code.google.com/p/urim/ + * http://snowball.tartarus.org/ + * + * Copyright 2010, Oleg Mazko + * http://www.mozilla.org/MPL/ + */ + +!function(e,r){"function"==typeof define&&define.amd?define(r):"object"==typeof exports?module.exports=r():r()(e.lunr)}(this,function(){return function(e){if(void 0===e)throw new Error("Lunr is not present. Please include / require Lunr before this script.");if(void 0===e.stemmerSupport)throw new Error("Lunr stemmer support is not present. Please include / require Lunr stemmer support before this script.");e.it=function(){this.pipeline.reset(),this.pipeline.add(e.it.trimmer,e.it.stopWordFilter,e.it.stemmer),this.searchPipeline&&(this.searchPipeline.reset(),this.searchPipeline.add(e.it.stemmer))},e.it.wordCharacters="A-Za-zªºÀ-ÖØ-öø-ʸˠ-ˤᴀ-ᴥᴬ-ᵜᵢ-ᵥᵫ-ᵷᵹ-ᶾḀ-ỿⁱⁿₐ-ₜKÅℲⅎⅠ-ↈⱠ-ⱿꜢ-ꞇꞋ-ꞭꞰ-ꞷꟷ-ꟿꬰ-ꭚꭜ-ꭤff-stＡ-Ｚａ-ｚ",e.it.trimmer=e.trimmerSupport.generateTrimmer(e.it.wordCharacters),e.Pipeline.registerFunction(e.it.trimmer,"trimmer-it"),e.it.stemmer=function(){var r=e.stemmerSupport.Among,n=e.stemmerSupport.SnowballProgram,i=new function(){function e(e,r,n){return!(!x.eq_s(1,e)||(x.ket=x.cursor,!x.in_grouping(L,97,249)))&&(x.slice_from(r),x.cursor=n,!0)}function i(){for(var r,n,i,o,t=x.cursor;;){if(x.bra=x.cursor,r=x.find_among(h,7))switch(x.ket=x.cursor,r){case 1:x.slice_from("à");continue;case 2:x.slice_from("è");continue;case 3:x.slice_from("ì");continue;case 4:x.slice_from("ò");continue;case 5:x.slice_from("ù");continue;case 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avevo avrai avranno avrebbe avrebbero avrei avremmo avremo avreste avresti avrete avrà avrò avuta avute avuti avuto c che chi ci coi col come con contro cui da dagl dagli dai dal dall dalla dalle dallo degl degli dei del dell della delle dello di dov dove e ebbe ebbero ebbi ed era erano eravamo eravate eri ero essendo faccia facciamo facciano facciate faccio facemmo facendo facesse facessero facessi facessimo faceste facesti faceva facevamo facevano facevate facevi facevo fai fanno farai faranno farebbe farebbero farei faremmo faremo fareste faresti farete farà farò fece fecero feci fosse fossero fossi fossimo foste fosti fu fui fummo furono gli ha hai hanno ho i il in io l la le lei li lo loro lui ma mi mia mie miei mio ne negl negli nei nel nell nella nelle nello noi non nostra nostre nostri nostro o per perché più quale quanta quante quanti quanto quella quelle quelli quello questa queste questi questo sarai saranno sarebbe sarebbero sarei saremmo saremo sareste saresti sarete sarà sarò se sei si sia siamo siano siate siete sono sta stai stando stanno starai staranno starebbe starebbero starei staremmo staremo stareste staresti starete starà starò stava stavamo stavano stavate stavi stavo stemmo stesse stessero stessi stessimo steste stesti stette stettero stetti stia stiamo stiano stiate sto su sua sue sugl sugli sui sul sull sulla sulle sullo suo suoi ti tra tu tua tue tuo tuoi tutti tutto un una uno vi voi vostra vostre vostri vostro è".split(" ")),e.Pipeline.registerFunction(e.it.stopWordFilter,"stopWordFilter-it")}}); \ No newline at end of file diff --git a/1.0.0/assets/javascripts/lunr/min/lunr.ja.min.js b/1.0.0/assets/javascripts/lunr/min/lunr.ja.min.js new file mode 100644 index 00000000..5f254ebe --- /dev/null +++ b/1.0.0/assets/javascripts/lunr/min/lunr.ja.min.js @@ -0,0 +1 @@ +!function(e,r){"function"==typeof define&&define.amd?define(r):"object"==typeof exports?module.exports=r():r()(e.lunr)}(this,function(){return function(e){if(void 0===e)throw 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t(){for(;!C.in_grouping(q,97,232);){if(C.cursor>=C.limit)return!0;C.cursor++}for(;!C.out_grouping(q,97,232);){if(C.cursor>=C.limit)return!0;C.cursor++}return!1}function s(){for(var r;;)if(C.bra=C.cursor,r=C.find_among(p,3))switch(C.ket=C.cursor,r){case 1:C.slice_from("y");break;case 2:C.slice_from("i");break;case 3:if(C.cursor>=C.limit)return;C.cursor++}}function u(){return _<=C.cursor}function c(){return d<=C.cursor}function a(){var r=C.limit-C.cursor;C.find_among_b(g,3)&&(C.cursor=C.limit-r,C.ket=C.cursor,C.cursor>C.limit_backward&&(C.cursor--,C.bra=C.cursor,C.slice_del()))}function l(){var r;w=!1,C.ket=C.cursor,C.eq_s_b(1,"e")&&(C.bra=C.cursor,u()&&(r=C.limit-C.cursor,C.out_grouping_b(q,97,232)&&(C.cursor=C.limit-r,C.slice_del(),w=!0,a())))}function m(){var r;u()&&(r=C.limit-C.cursor,C.out_grouping_b(q,97,232)&&(C.cursor=C.limit-r,C.eq_s_b(3,"gem")||(C.cursor=C.limit-r,C.slice_del(),a())))}function f(){var 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dă ea ei el ele eram este eu eşti face fata fi fie fiecare fii fim fiu fiţi frumos fără graţie halbă iar ieri la le li lor lui lângă lîngă mai mea mei mele mereu meu mi mie mine mult multă mulţi mulţumesc mâine mîine mă ne nevoie nici nicăieri nimeni nimeri nimic nişte noastre noastră noi noroc nostru nouă noştri nu opt ori oricare orice oricine oricum oricând oricât oricînd oricît oriunde patra patru patrulea pe pentru peste pic poate pot prea prima primul prin puţin puţina puţină până pînă rog sa sale sau se spate spre sub sunt suntem sunteţi sută sînt sîntem sînteţi să săi său ta tale te timp tine toate toată tot totuşi toţi trei treia treilea tu tăi tău un una unde undeva unei uneia unele uneori unii unor unora unu unui unuia unul vi voastre voastră voi vostru vouă voştri vreme vreo vreun vă zece zero zi zice îi îl îmi împotriva în înainte înaintea încotro încât încît între întrucât întrucît îţi ăla ălea ăsta ăstea ăştia şapte şase şi ştiu ţi ţie".split(" ")),e.Pipeline.registerFunction(e.ro.stopWordFilter,"stopWordFilter-ro")}}); \ No newline at end of file diff --git a/1.0.0/assets/javascripts/lunr/min/lunr.ru.min.js b/1.0.0/assets/javascripts/lunr/min/lunr.ru.min.js new file mode 100644 index 00000000..186cc485 --- /dev/null +++ b/1.0.0/assets/javascripts/lunr/min/lunr.ru.min.js @@ -0,0 +1,18 @@ +/*! + * Lunr languages, `Russian` language + * https://github.com/MihaiValentin/lunr-languages + * + * Copyright 2014, Mihai Valentin + * http://www.mozilla.org/MPL/ + */ +/*! + * based on + * Snowball JavaScript Library v0.3 + * http://code.google.com/p/urim/ + * http://snowball.tartarus.org/ + * + * Copyright 2010, Oleg Mazko + * http://www.mozilla.org/MPL/ + */ + +!function(e,n){"function"==typeof define&&define.amd?define(n):"object"==typeof exports?module.exports=n():n()(e.lunr)}(this,function(){return function(e){if(void 0===e)throw new Error("Lunr is not present. 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+ * http://snowball.tartarus.org/ + * + * Copyright 2010, Oleg Mazko + * http://www.mozilla.org/MPL/ + */ + +!function(e,r){"function"==typeof define&&define.amd?define(r):"object"==typeof exports?module.exports=r():r()(e.lunr)}(this,function(){return function(e){if(void 0===e)throw new Error("Lunr is not present. 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Dr.bra=Dr.cursor,Dr.slice_del(),i=Dr.limit-Dr.cursor,Dr.ket=Dr.cursor,W()?(Dr.bra=Dr.cursor,Dr.slice_del(),K()):(Dr.cursor=Dr.limit-i,a()&&(Dr.bra=Dr.cursor,Dr.slice_del(),Dr.ket=Dr.cursor,W()&&(Dr.bra=Dr.cursor,Dr.slice_del(),K()))),!0;if(Dr.cursor=Dr.limit-r,w()){if(Dr.bra=Dr.cursor,Dr.slice_del(),Dr.ket=Dr.cursor,e=Dr.limit-Dr.cursor,d())Dr.bra=Dr.cursor,Dr.slice_del();else{if(Dr.cursor=Dr.limit-e,Dr.ket=Dr.cursor,!a()&&(Dr.cursor=Dr.limit-e,!m()&&(Dr.cursor=Dr.limit-e,!K())))return!0;Dr.bra=Dr.cursor,Dr.slice_del(),Dr.ket=Dr.cursor,W()&&(Dr.bra=Dr.cursor,Dr.slice_del(),K())}return!0}if(Dr.cursor=Dr.limit-r,g()){if(n=Dr.limit-Dr.cursor,d())Dr.bra=Dr.cursor,Dr.slice_del();else if(Dr.cursor=Dr.limit-n,m())Dr.bra=Dr.cursor,Dr.slice_del(),Dr.ket=Dr.cursor,W()&&(Dr.bra=Dr.cursor,Dr.slice_del(),K());else if(Dr.cursor=Dr.limit-n,!K())return!1;return!0}}return!1}function M(r){if(Dr.ket=Dr.cursor,!g()&&(Dr.cursor=Dr.limit-r,!k()))return!1;var i=Dr.limit-Dr.cursor;if(d())Dr.bra=Dr.cursor,Dr.slice_del();else if(Dr.cursor=Dr.limit-i,m())Dr.bra=Dr.cursor,Dr.slice_del(),Dr.ket=Dr.cursor,W()&&(Dr.bra=Dr.cursor,Dr.slice_del(),K());else if(Dr.cursor=Dr.limit-i,!K())return!1;return!0}function N(r){if(Dr.ket=Dr.cursor,!z()&&(Dr.cursor=Dr.limit-r,!b()))return!1;var i=Dr.limit-Dr.cursor;return!(!m()&&(Dr.cursor=Dr.limit-i,!d()))&&(Dr.bra=Dr.cursor,Dr.slice_del(),Dr.ket=Dr.cursor,W()&&(Dr.bra=Dr.cursor,Dr.slice_del(),K()),!0)}function O(){var r,i=Dr.limit-Dr.cursor;return Dr.ket=Dr.cursor,!(!w()&&(Dr.cursor=Dr.limit-i,!v()))&&(Dr.bra=Dr.cursor,Dr.slice_del(),r=Dr.limit-Dr.cursor,Dr.ket=Dr.cursor,!(!W()||(Dr.bra=Dr.cursor,Dr.slice_del(),!K()))||(Dr.cursor=Dr.limit-r,Dr.ket=Dr.cursor,!(a()||(Dr.cursor=Dr.limit-r,m()||(Dr.cursor=Dr.limit-r,K())))||(Dr.bra=Dr.cursor,Dr.slice_del(),Dr.ket=Dr.cursor,W()&&(Dr.bra=Dr.cursor,Dr.slice_del(),K()),!0)))}function Q(){var r,i,e=Dr.limit-Dr.cursor;if(Dr.ket=Dr.cursor,!p()&&(Dr.cursor=Dr.limit-e,!f()&&(Dr.cursor=Dr.limit-e,!_())))return!1;if(Dr.bra=Dr.cursor,Dr.slice_del(),Dr.ket=Dr.cursor,r=Dr.limit-Dr.cursor,a())Dr.bra=Dr.cursor,Dr.slice_del(),i=Dr.limit-Dr.cursor,Dr.ket=Dr.cursor,W()||(Dr.cursor=Dr.limit-i);else if(Dr.cursor=Dr.limit-r,!W())return!0;return Dr.bra=Dr.cursor,Dr.slice_del(),Dr.ket=Dr.cursor,K(),!0}function R(){var r,i,e=Dr.limit-Dr.cursor;if(Dr.ket=Dr.cursor,W())return Dr.bra=Dr.cursor,Dr.slice_del(),void K();if(Dr.cursor=Dr.limit-e,Dr.ket=Dr.cursor,q())if(Dr.bra=Dr.cursor,Dr.slice_del(),r=Dr.limit-Dr.cursor,Dr.ket=Dr.cursor,d())Dr.bra=Dr.cursor,Dr.slice_del();else{if(Dr.cursor=Dr.limit-r,Dr.ket=Dr.cursor,!a()&&(Dr.cursor=Dr.limit-r,!m())){if(Dr.cursor=Dr.limit-r,Dr.ket=Dr.cursor,!W())return;if(Dr.bra=Dr.cursor,Dr.slice_del(),!K())return}Dr.bra=Dr.cursor,Dr.slice_del(),Dr.ket=Dr.cursor,W()&&(Dr.bra=Dr.cursor,Dr.slice_del(),K())}else if(Dr.cursor=Dr.limit-e,!M(e)&&(Dr.cursor=Dr.limit-e,!N(e))){if(Dr.cursor=Dr.limit-e,Dr.ket=Dr.cursor,y())return Dr.bra=Dr.cursor,Dr.slice_del(),Dr.ket=Dr.cursor,i=Dr.limit-Dr.cursor,void(a()?(Dr.bra=Dr.cursor,Dr.slice_del(),Dr.ket=Dr.cursor,W()&&(Dr.bra=Dr.cursor,Dr.slice_del(),K())):(Dr.cursor=Dr.limit-i,W()?(Dr.bra=Dr.cursor,Dr.slice_del(),K()):(Dr.cursor=Dr.limit-i,K())));if(Dr.cursor=Dr.limit-e,!O()){if(Dr.cursor=Dr.limit-e,d())return Dr.bra=Dr.cursor,void Dr.slice_del();Dr.cursor=Dr.limit-e,K()||(Dr.cursor=Dr.limit-e,Q()||(Dr.cursor=Dr.limit-e,Dr.ket=Dr.cursor,(a()||(Dr.cursor=Dr.limit-e,m()))&&(Dr.bra=Dr.cursor,Dr.slice_del(),Dr.ket=Dr.cursor,W()&&(Dr.bra=Dr.cursor,Dr.slice_del(),K()))))}}}function U(){var r;if(Dr.ket=Dr.cursor,r=Dr.find_among_b(Sr,4))switch(Dr.bra=Dr.cursor,r){case 1:Dr.slice_from("p");break;case 2:Dr.slice_from("ç");break;case 3:Dr.slice_from("t");break;case 4:Dr.slice_from("k")}}function V(){for(;;){var r=Dr.limit-Dr.cursor;if(Dr.in_grouping_b(Wr,97,305)){Dr.cursor=Dr.limit-r;break}if(Dr.cursor=Dr.limit-r,Dr.cursor<=Dr.limit_backward)return!1;Dr.cursor--}return!0}function X(r,i,e){if(Dr.cursor=Dr.limit-r,V()){var n=Dr.limit-Dr.cursor;if(!Dr.eq_s_b(1,i)&&(Dr.cursor=Dr.limit-n,!Dr.eq_s_b(1,e)))return!0;Dr.cursor=Dr.limit-r;var t=Dr.cursor;return Dr.insert(Dr.cursor,Dr.cursor,e),Dr.cursor=t,!1}return!0}function Y(){var r=Dr.limit-Dr.cursor;(Dr.eq_s_b(1,"d")||(Dr.cursor=Dr.limit-r,Dr.eq_s_b(1,"g")))&&X(r,"a","ı")&&X(r,"e","i")&&X(r,"o","u")&&X(r,"ö","ü")}function $(){for(var r,i=Dr.cursor,e=2;;){for(r=Dr.cursor;!Dr.in_grouping(Wr,97,305);){if(Dr.cursor>=Dr.limit)return Dr.cursor=r,!(e>0)&&(Dr.cursor=i,!0);Dr.cursor++}e--}}function rr(r,i,e){for(;!Dr.eq_s(i,e);){if(Dr.cursor>=Dr.limit)return!0;Dr.cursor++}return(tr=i)!=Dr.limit||(Dr.cursor=r,!1)}function ir(){var r=Dr.cursor;return!rr(r,2,"ad")||(Dr.cursor=r,!rr(r,5,"soyad"))}function er(){var r=Dr.cursor;return!ir()&&(Dr.limit_backward=r,Dr.cursor=Dr.limit,Y(),Dr.cursor=Dr.limit,U(),!0)}var nr,tr,ur=[new i("m",-1,-1),new i("n",-1,-1),new i("miz",-1,-1),new i("niz",-1,-1),new i("muz",-1,-1),new i("nuz",-1,-1),new i("müz",-1,-1),new i("nüz",-1,-1),new i("mız",-1,-1),new i("nız",-1,-1)],or=[new i("leri",-1,-1),new i("ları",-1,-1)],sr=[new i("ni",-1,-1),new i("nu",-1,-1),new i("nü",-1,-1),new i("nı",-1,-1)],cr=[new i("in",-1,-1),new i("un",-1,-1),new i("ün",-1,-1),new i("ın",-1,-1)],lr=[new i("a",-1,-1),new i("e",-1,-1)],ar=[new i("na",-1,-1),new i("ne",-1,-1)],mr=[new i("da",-1,-1),new i("ta",-1,-1),new i("de",-1,-1),new i("te",-1,-1)],dr=[new i("nda",-1,-1),new i("nde",-1,-1)],fr=[new i("dan",-1,-1),new i("tan",-1,-1),new i("den",-1,-1),new i("ten",-1,-1)],br=[new i("ndan",-1,-1),new i("nden",-1,-1)],wr=[new i("la",-1,-1),new i("le",-1,-1)],_r=[new i("ca",-1,-1),new i("ce",-1,-1)],kr=[new i("im",-1,-1),new i("um",-1,-1),new i("üm",-1,-1),new i("ım",-1,-1)],pr=[new i("sin",-1,-1),new i("sun",-1,-1),new i("sün",-1,-1),new i("sın",-1,-1)],gr=[new i("iz",-1,-1),new i("uz",-1,-1),new i("üz",-1,-1),new i("ız",-1,-1)],yr=[new i("siniz",-1,-1),new i("sunuz",-1,-1),new i("sünüz",-1,-1),new i("sınız",-1,-1)],zr=[new i("lar",-1,-1),new i("ler",-1,-1)],vr=[new i("niz",-1,-1),new i("nuz",-1,-1),new i("nüz",-1,-1),new i("nız",-1,-1)],hr=[new i("dir",-1,-1),new i("tir",-1,-1),new i("dur",-1,-1),new i("tur",-1,-1),new i("dür",-1,-1),new i("tür",-1,-1),new i("dır",-1,-1),new i("tır",-1,-1)],qr=[new i("casına",-1,-1),new i("cesine",-1,-1)],Cr=[new i("di",-1,-1),new i("ti",-1,-1),new i("dik",-1,-1),new i("tik",-1,-1),new i("duk",-1,-1),new i("tuk",-1,-1),new i("dük",-1,-1),new i("tük",-1,-1),new i("dık",-1,-1),new i("tık",-1,-1),new i("dim",-1,-1),new i("tim",-1,-1),new i("dum",-1,-1),new i("tum",-1,-1),new i("düm",-1,-1),new i("tüm",-1,-1),new i("dım",-1,-1),new i("tım",-1,-1),new i("din",-1,-1),new i("tin",-1,-1),new i("dun",-1,-1),new i("tun",-1,-1),new i("dün",-1,-1),new i("tün",-1,-1),new i("dın",-1,-1),new i("tın",-1,-1),new i("du",-1,-1),new i("tu",-1,-1),new i("dü",-1,-1),new i("tü",-1,-1),new i("dı",-1,-1),new i("tı",-1,-1)],Pr=[new i("sa",-1,-1),new i("se",-1,-1),new i("sak",-1,-1),new i("sek",-1,-1),new i("sam",-1,-1),new i("sem",-1,-1),new i("san",-1,-1),new i("sen",-1,-1)],Fr=[new i("miş",-1,-1),new i("muş",-1,-1),new i("müş",-1,-1),new i("mış",-1,-1)],Sr=[new i("b",-1,1),new i("c",-1,2),new i("d",-1,3),new i("ğ",-1,4)],Wr=[17,65,16,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,32,8,0,0,0,0,0,0,1],Lr=[1,16,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,8,0,0,0,0,0,0,1],xr=[1,64,16,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1],Ar=[17,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,130],Er=[1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1],jr=[17],Tr=[65],Zr=[65],Br=[["a",xr,97,305],["e",Ar,101,252],["ı",Er,97,305],["i",jr,101,105],["o",Tr,111,117],["ö",Zr,246,252],["u",Tr,111,117]],Dr=new e;this.setCurrent=function(r){Dr.setCurrent(r)},this.getCurrent=function(){return Dr.getCurrent()},this.stem=function(){return!!($()&&(Dr.limit_backward=Dr.cursor,Dr.cursor=Dr.limit,J(),Dr.cursor=Dr.limit,nr&&(R(),Dr.cursor=Dr.limit_backward,er())))}};return function(r){return"function"==typeof r.update?r.update(function(r){return n.setCurrent(r),n.stem(),n.getCurrent()}):(n.setCurrent(r),n.stem(),n.getCurrent())}}(),r.Pipeline.registerFunction(r.tr.stemmer,"stemmer-tr"),r.tr.stopWordFilter=r.generateStopWordFilter("acaba altmış altı ama ancak arada aslında ayrıca bana bazı belki ben benden beni benim beri beş bile bin bir biri birkaç birkez birçok birşey birşeyi biz bizden bize bizi bizim bu buna bunda bundan bunlar bunları bunların bunu bunun burada böyle böylece da daha dahi de defa değil diye diğer doksan dokuz dolayı dolayısıyla dört edecek eden ederek edilecek ediliyor edilmesi ediyor elli en etmesi etti ettiği ettiğini eğer gibi göre halen hangi hatta hem henüz hep hepsi her herhangi herkesin hiç hiçbir iki ile ilgili ise itibaren itibariyle için işte kadar karşın katrilyon kendi kendilerine kendini kendisi kendisine kendisini kez ki kim kimden kime kimi kimse kırk milyar milyon mu mü mı nasıl ne neden nedenle nerde nerede nereye niye niçin o olan olarak oldu olduklarını olduğu olduğunu olmadı olmadığı olmak olması olmayan olmaz olsa olsun olup olur olursa oluyor on ona ondan onlar onlardan onları onların onu onun otuz oysa pek rağmen sadece sanki sekiz seksen sen senden seni senin siz sizden sizi sizin tarafından trilyon tüm var vardı ve veya ya yani yapacak yapmak yaptı yaptıkları yaptığı yaptığını yapılan yapılması yapıyor yedi yerine yetmiş yine yirmi yoksa yüz zaten çok çünkü öyle üzere üç şey şeyden şeyi şeyler şu şuna şunda şundan şunları şunu şöyle".split(" ")),r.Pipeline.registerFunction(r.tr.stopWordFilter,"stopWordFilter-tr")}}); \ No newline at end of file diff --git a/1.0.0/assets/javascripts/lunr/min/lunr.vi.min.js b/1.0.0/assets/javascripts/lunr/min/lunr.vi.min.js new file mode 100644 index 00000000..22aed28c --- /dev/null +++ b/1.0.0/assets/javascripts/lunr/min/lunr.vi.min.js @@ -0,0 +1 @@ +!function(e,r){"function"==typeof define&&define.amd?define(r):"object"==typeof exports?module.exports=r():r()(e.lunr)}(this,function(){return function(e){if(void 0===e)throw new Error("Lunr is not present. Please include / require Lunr before this script.");if(void 0===e.stemmerSupport)throw new Error("Lunr stemmer support is not present. Please include / require Lunr stemmer support before this script.");e.vi=function(){this.pipeline.reset(),this.pipeline.add(e.vi.stopWordFilter,e.vi.trimmer)},e.vi.wordCharacters="[A-Za-ẓ̀͐́͑̉̃̓ÂâÊêÔôĂ-ăĐ-đƠ-ơƯ-ư]",e.vi.trimmer=e.trimmerSupport.generateTrimmer(e.vi.wordCharacters),e.Pipeline.registerFunction(e.vi.trimmer,"trimmer-vi"),e.vi.stopWordFilter=e.generateStopWordFilter("là cái nhưng mà".split(" "))}}); \ No newline at end of file diff --git a/1.0.0/assets/javascripts/lunr/min/lunr.zh.min.js b/1.0.0/assets/javascripts/lunr/min/lunr.zh.min.js new file mode 100644 index 00000000..9838ef96 --- /dev/null +++ b/1.0.0/assets/javascripts/lunr/min/lunr.zh.min.js @@ -0,0 +1 @@ +!function(e,r){"function"==typeof define&&define.amd?define(r):"object"==typeof exports?module.exports=r(require("@node-rs/jieba")):r()(e.lunr)}(this,function(e){return function(r,t){if(void 0===r)throw new Error("Lunr is not present. Please include / require Lunr before this script.");if(void 0===r.stemmerSupport)throw new Error("Lunr stemmer support is not present. Please include / require Lunr stemmer support before this script.");var i="2"==r.version[0];r.zh=function(){this.pipeline.reset(),this.pipeline.add(r.zh.trimmer,r.zh.stopWordFilter,r.zh.stemmer),i?this.tokenizer=r.zh.tokenizer:(r.tokenizer&&(r.tokenizer=r.zh.tokenizer),this.tokenizerFn&&(this.tokenizerFn=r.zh.tokenizer))},r.zh.tokenizer=function(n){if(!arguments.length||null==n||void 0==n)return[];if(Array.isArray(n))return n.map(function(e){return i?new r.Token(e.toLowerCase()):e.toLowerCase()});t&&e.load(t);var o=n.toString().trim().toLowerCase(),s=[];e.cut(o,!0).forEach(function(e){s=s.concat(e.split(" "))}),s=s.filter(function(e){return!!e});var u=0;return s.map(function(e,t){if(i){var n=o.indexOf(e,u),s={};return s.position=[n,e.length],s.index=t,u=n,new r.Token(e,s)}return e})},r.zh.wordCharacters="\\w一-龥",r.zh.trimmer=r.trimmerSupport.generateTrimmer(r.zh.wordCharacters),r.Pipeline.registerFunction(r.zh.trimmer,"trimmer-zh"),r.zh.stemmer=function(){return function(e){return e}}(),r.Pipeline.registerFunction(r.zh.stemmer,"stemmer-zh"),r.zh.stopWordFilter=r.generateStopWordFilter("的 一 不 在 人 有 是 为 以 于 上 他 而 后 之 来 及 了 因 下 可 到 由 这 与 也 此 但 并 个 其 已 无 小 我 们 起 最 再 今 去 好 只 又 或 很 亦 某 把 那 你 乃 它 吧 被 比 别 趁 当 从 到 得 打 凡 儿 尔 该 各 给 跟 和 何 还 即 几 既 看 据 距 靠 啦 了 另 么 每 们 嘛 拿 哪 那 您 凭 且 却 让 仍 啥 如 若 使 谁 虽 随 同 所 她 哇 嗡 往 哪 些 向 沿 哟 用 于 咱 则 怎 曾 至 致 着 诸 自".split(" ")),r.Pipeline.registerFunction(r.zh.stopWordFilter,"stopWordFilter-zh")}}); \ No newline at end of file diff --git a/1.0.0/assets/javascripts/lunr/tinyseg.js b/1.0.0/assets/javascripts/lunr/tinyseg.js new file mode 100644 index 00000000..167fa6dd --- /dev/null +++ b/1.0.0/assets/javascripts/lunr/tinyseg.js @@ -0,0 +1,206 @@ +/** + * export the module via AMD, CommonJS or as a browser global + * Export code from https://github.com/umdjs/umd/blob/master/returnExports.js + */ +;(function (root, factory) { + if (typeof define === 'function' && define.amd) { + // AMD. Register as an anonymous module. + define(factory) + } else if (typeof exports === 'object') { + /** + * Node. Does not work with strict CommonJS, but + * only CommonJS-like environments that support module.exports, + * like Node. + */ + module.exports = factory() + } else { + // Browser globals (root is window) + factory()(root.lunr); + } +}(this, function () { + /** + * Just return a value to define the module export. + * This example returns an object, but the module + * can return a function as the exported value. + */ + + return function(lunr) { + // TinySegmenter 0.1 -- Super compact Japanese tokenizer in Javascript + // (c) 2008 Taku Kudo + // TinySegmenter is freely distributable under the terms of a new BSD licence. + // For details, see http://chasen.org/~taku/software/TinySegmenter/LICENCE.txt + + function TinySegmenter() { + var patterns = { + "[一二三四五六七八九十百千万億兆]":"M", + "[一-龠々〆ヵヶ]":"H", + "[ぁ-ん]":"I", + "[ァ-ヴーｱ-ﾝﾞｰ]":"K", + "[a-zA-Zａ-ｚＡ-Ｚ]":"A", + "[0-9０-９]":"N" + } + this.chartype_ = []; + for (var i in patterns) { + var regexp = new RegExp(i); + this.chartype_.push([regexp, patterns[i]]); 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+ + return this; + } + TinySegmenter.prototype.ctype_ = function(str) { + for (var i in this.chartype_) { + if (str.match(this.chartype_[i][0])) { + return this.chartype_[i][1]; + } + } + return "O"; + } + + TinySegmenter.prototype.ts_ = function(v) { + if (v) { return v; } + return 0; + } + + TinySegmenter.prototype.segment = function(input) { + if (input == null || input == undefined || input == "") { + return []; + } + var result = []; + var seg = ["B3","B2","B1"]; + var ctype = ["O","O","O"]; + var o = input.split(""); + for (i = 0; i < o.length; ++i) { + seg.push(o[i]); + ctype.push(this.ctype_(o[i])) + } + seg.push("E1"); + seg.push("E2"); + seg.push("E3"); + ctype.push("O"); + ctype.push("O"); + ctype.push("O"); + var word = seg[3]; + var p1 = "U"; + var p2 = "U"; + var p3 = "U"; + for (var i = 4; i < seg.length - 3; ++i) { + var score = this.BIAS__; + var w1 = seg[i-3]; + var w2 = seg[i-2]; + var w3 = seg[i-1]; + var w4 = seg[i]; + var w5 = seg[i+1]; + var w6 = seg[i+2]; + var c1 = ctype[i-3]; + var c2 = ctype[i-2]; + var c3 = ctype[i-1]; + var c4 = ctype[i]; + var c5 = ctype[i+1]; + var c6 = ctype[i+2]; + score += this.ts_(this.UP1__[p1]); + score += this.ts_(this.UP2__[p2]); + score += this.ts_(this.UP3__[p3]); + score += this.ts_(this.BP1__[p1 + p2]); + score += this.ts_(this.BP2__[p2 + p3]); + score += this.ts_(this.UW1__[w1]); + score += this.ts_(this.UW2__[w2]); + score += this.ts_(this.UW3__[w3]); + score += this.ts_(this.UW4__[w4]); + score += this.ts_(this.UW5__[w5]); + score += this.ts_(this.UW6__[w6]); + score += this.ts_(this.BW1__[w2 + w3]); + score += this.ts_(this.BW2__[w3 + w4]); + score += this.ts_(this.BW3__[w4 + w5]); + score += this.ts_(this.TW1__[w1 + w2 + w3]); + score += this.ts_(this.TW2__[w2 + w3 + w4]); + score += this.ts_(this.TW3__[w3 + w4 + w5]); + score += this.ts_(this.TW4__[w4 + w5 + w6]); + score += this.ts_(this.UC1__[c1]); + score += this.ts_(this.UC2__[c2]); + score += this.ts_(this.UC3__[c3]); + score += this.ts_(this.UC4__[c4]); + score += this.ts_(this.UC5__[c5]); + score += this.ts_(this.UC6__[c6]); + score += this.ts_(this.BC1__[c2 + c3]); + score += this.ts_(this.BC2__[c3 + c4]); + score += this.ts_(this.BC3__[c4 + c5]); + score += this.ts_(this.TC1__[c1 + c2 + c3]); + score += this.ts_(this.TC2__[c2 + c3 + c4]); + score += this.ts_(this.TC3__[c3 + c4 + c5]); + score += this.ts_(this.TC4__[c4 + c5 + c6]); + // score += this.ts_(this.TC5__[c4 + c5 + c6]); + score += this.ts_(this.UQ1__[p1 + c1]); + score += this.ts_(this.UQ2__[p2 + c2]); + score += this.ts_(this.UQ3__[p3 + c3]); + score += this.ts_(this.BQ1__[p2 + c2 + c3]); + score += this.ts_(this.BQ2__[p2 + c3 + c4]); + score += this.ts_(this.BQ3__[p3 + c2 + c3]); + score += this.ts_(this.BQ4__[p3 + c3 + c4]); + score += this.ts_(this.TQ1__[p2 + c1 + c2 + c3]); + score += this.ts_(this.TQ2__[p2 + c2 + c3 + c4]); + score += this.ts_(this.TQ3__[p3 + c1 + c2 + c3]); + score += this.ts_(this.TQ4__[p3 + c2 + c3 + c4]); + var p = "O"; + if (score > 0) { + result.push(word); + word = ""; + p = "B"; + } + p1 = p2; + p2 = p3; + p3 = p; + word += seg[i]; + } + result.push(word); + + return result; + } + + lunr.TinySegmenter = TinySegmenter; + }; + +})); \ No newline at end of file diff --git a/1.0.0/assets/javascripts/lunr/wordcut.js b/1.0.0/assets/javascripts/lunr/wordcut.js new file mode 100644 index 00000000..146f4b44 --- /dev/null +++ b/1.0.0/assets/javascripts/lunr/wordcut.js @@ -0,0 +1,6708 @@ +(function(f){if(typeof exports==="object"&&typeof module!=="undefined"){module.exports=f()}else if(typeof define==="function"&&define.amd){define([],f)}else{var g;if(typeof window!=="undefined"){g=window}else if(typeof global!=="undefined"){g=global}else if(typeof self!=="undefined"){g=self}else{g=this}(g.lunr || (g.lunr = {})).wordcut = f()}})(function(){var define,module,exports;return (function e(t,n,r){function s(o,u){if(!n[o]){if(!t[o]){var a=typeof require=="function"&&require;if(!u&&a)return a(o,!0);if(i)return i(o,!0);var f=new Error("Cannot find module '"+o+"'");throw f.code="MODULE_NOT_FOUND",f}var l=n[o]={exports:{}};t[o][0].call(l.exports,function(e){var n=t[o][1][e];return s(n?n:e)},l,l.exports,e,t,n,r)}return n[o].exports}var i=typeof require=="function"&&require;for(var o=0;o 1; + }) + this.addWords(words, false) + } + if(finalize){ + this.finalizeDict(); + } + }, + + dictSeek: function (l, r, ch, strOffset, pos) { + var ans = null; + while (l <= r) { + var m = Math.floor((l + r) / 2), + dict_item = this.dict[m], + len = dict_item.length; + if (len <= strOffset) { + l = m + 1; + } else { + var ch_ = dict_item[strOffset]; + if (ch_ < ch) { + l = m + 1; + } else if (ch_ > ch) { + r = m - 1; + } else { + ans = m; + if (pos == LEFT) { + r = m - 1; + } else { + l = m + 1; + } + } + } + } + return ans; + }, + + isFinal: function (acceptor) { + return this.dict[acceptor.l].length == acceptor.strOffset; + }, + + createAcceptor: function () { + return { + l: 0, + r: this.dict.length - 1, + strOffset: 0, + isFinal: false, + dict: this, + transit: function (ch) { + return this.dict.transit(this, ch); + }, + isError: false, + tag: "DICT", + w: 1, + type: "DICT" + }; + }, + + transit: function (acceptor, ch) { + var l = this.dictSeek(acceptor.l, + acceptor.r, + ch, + acceptor.strOffset, + LEFT); + if (l !== null) { + var r = this.dictSeek(l, + acceptor.r, + ch, + acceptor.strOffset, + RIGHT); + acceptor.l = l; + acceptor.r = r; + acceptor.strOffset++; + acceptor.isFinal = this.isFinal(acceptor); + } else { + acceptor.isError = true; + } + return acceptor; + }, + + sortuniq: function(a){ + return a.sort().filter(function(item, pos, arr){ + return !pos || item != arr[pos - 1]; + }) + }, + + flatten: function(a){ + //[[1,2],[3]] -> [1,2,3] + return [].concat.apply([], a); + } +}; +module.exports = WordcutDict; + +}).call(this,"/dist/tmp") +},{"glob":16,"path":22}],3:[function(require,module,exports){ +var WordRule = { + createAcceptor: function(tag) { + if (tag["WORD_RULE"]) + return null; + + return {strOffset: 0, + isFinal: false, + transit: function(ch) { + var lch = ch.toLowerCase(); + if (lch >= "a" && lch <= "z") { + this.isFinal = true; + this.strOffset++; + } else { + this.isError = true; + } + return this; + }, + isError: false, + tag: "WORD_RULE", + type: "WORD_RULE", + w: 1}; + } +}; + +var NumberRule = { + createAcceptor: function(tag) { + if (tag["NUMBER_RULE"]) + return null; + + return {strOffset: 0, + isFinal: false, + transit: function(ch) { + if (ch >= "0" && ch <= "9") { + this.isFinal = true; + this.strOffset++; + } else { + this.isError = true; + } + return this; + }, + isError: false, + tag: "NUMBER_RULE", + type: "NUMBER_RULE", + w: 1}; + } +}; + +var SpaceRule = { + tag: "SPACE_RULE", + createAcceptor: function(tag) { + + if (tag["SPACE_RULE"]) + return null; + + return {strOffset: 0, + isFinal: false, + transit: function(ch) { + if (ch == " " || ch == "\t" || ch == "\r" || ch == "\n" || + ch == "\u00A0" || ch=="\u2003"//nbsp and emsp + ) { + this.isFinal = true; + this.strOffset++; + } else { + this.isError = true; + } + return this; + }, + isError: false, + tag: SpaceRule.tag, + w: 1, + type: "SPACE_RULE"}; + } +} + +var SingleSymbolRule = { + tag: "SINSYM", + createAcceptor: function(tag) { + return {strOffset: 0, + isFinal: false, + transit: function(ch) { + if (this.strOffset == 0 && ch.match(/^[\@\(\)\/\,\-\."`]$/)) { + this.isFinal = true; + this.strOffset++; + } else { + this.isError = true; + } + return this; + }, + isError: false, + tag: "SINSYM", + w: 1, + type: "SINSYM"}; + } +} + + +var LatinRules = [WordRule, SpaceRule, SingleSymbolRule, NumberRule]; + +module.exports = LatinRules; + +},{}],4:[function(require,module,exports){ +var _ = require("underscore") + , WordcutCore = require("./wordcut_core"); +var PathInfoBuilder = { + + /* + buildByPartAcceptors: function(path, acceptors, i) { + var + var genInfos = partAcceptors.reduce(function(genInfos, acceptor) { + + }, []); + + return genInfos; + } + */ + + buildByAcceptors: function(path, finalAcceptors, i) { + var self = this; + var infos = finalAcceptors.map(function(acceptor) { + var p = i - acceptor.strOffset + 1 + , _info = path[p]; + + var info = {p: p, + mw: _info.mw + (acceptor.mw === undefined ? 0 : acceptor.mw), + w: acceptor.w + _info.w, + unk: (acceptor.unk ? acceptor.unk : 0) + _info.unk, + type: acceptor.type}; + + if (acceptor.type == "PART") { + for(var j = p + 1; j <= i; j++) { + path[j].merge = p; + } + info.merge = p; + } + + return info; + }); + return infos.filter(function(info) { return info; }); + }, + + fallback: function(path, leftBoundary, text, i) { + var _info = path[leftBoundary]; + if (text[i].match(/[\u0E48-\u0E4E]/)) { + if (leftBoundary != 0) + leftBoundary = path[leftBoundary].p; + return {p: leftBoundary, + mw: 0, + w: 1 + _info.w, + unk: 1 + _info.unk, + type: "UNK"}; +/* } else if(leftBoundary > 0 && path[leftBoundary].type !== "UNK") { + leftBoundary = path[leftBoundary].p; + return {p: leftBoundary, + w: 1 + _info.w, + unk: 1 + _info.unk, + type: "UNK"}; */ + } else { + return {p: leftBoundary, + mw: _info.mw, + w: 1 + _info.w, + unk: 1 + _info.unk, + type: "UNK"}; + } + }, + + build: function(path, finalAcceptors, i, leftBoundary, text) { + var basicPathInfos = this.buildByAcceptors(path, finalAcceptors, i); + if (basicPathInfos.length > 0) { + return basicPathInfos; + } else { + return [this.fallback(path, leftBoundary, text, i)]; + } + } +}; + +module.exports = function() { + return _.clone(PathInfoBuilder); +} + +},{"./wordcut_core":8,"underscore":25}],5:[function(require,module,exports){ +var _ = require("underscore"); + + +var PathSelector = { + selectPath: function(paths) { + var path = paths.reduce(function(selectedPath, path) { + if (selectedPath == null) { + return path; + } else { + if (path.unk < selectedPath.unk) + return path; + if (path.unk == selectedPath.unk) { + if (path.mw < selectedPath.mw) + return path + if (path.mw == selectedPath.mw) { + if (path.w < selectedPath.w) + return path; + } + } + return selectedPath; + } + }, null); + return path; + }, + + createPath: function() { + return [{p:null, w:0, unk:0, type: "INIT", mw:0}]; + } +}; + +module.exports = function() { + return _.clone(PathSelector); +}; + +},{"underscore":25}],6:[function(require,module,exports){ +function isMatch(pat, offset, ch) { + if (pat.length <= offset) + return false; + var _ch = pat[offset]; + return _ch == ch || + (_ch.match(/[กข]/) && ch.match(/[ก-ฮ]/)) || + (_ch.match(/[มบ]/) && ch.match(/[ก-ฮ]/)) || + (_ch.match(/\u0E49/) && ch.match(/[\u0E48-\u0E4B]/)); +} + +var Rule0 = { + pat: "เหก็ม", + createAcceptor: function(tag) { + return {strOffset: 0, + isFinal: false, + transit: function(ch) { + if (isMatch(Rule0.pat, this.strOffset,ch)) { + this.isFinal = (this.strOffset + 1 == Rule0.pat.length); + this.strOffset++; + } else { + this.isError = true; + } + return this; + }, + isError: false, + tag: "THAI_RULE", + type: "THAI_RULE", + w: 1}; + } +}; + +var PartRule = { + createAcceptor: function(tag) { + return {strOffset: 0, + patterns: [ + "แก", "เก", "ก้", "กก์", "กา", "กี", "กิ", "กืก" + ], + isFinal: false, + transit: function(ch) { + var offset = this.strOffset; + this.patterns = this.patterns.filter(function(pat) { + return isMatch(pat, offset, ch); + }); + + if (this.patterns.length > 0) { + var len = 1 + offset; + this.isFinal = this.patterns.some(function(pat) { + return pat.length == len; + }); + this.strOffset++; + } else { + this.isError = true; + } + return this; + }, + isError: false, + tag: "PART", + type: "PART", + unk: 1, + w: 1}; + } +}; + +var ThaiRules = [Rule0, PartRule]; + +module.exports = ThaiRules; + +},{}],7:[function(require,module,exports){ +var sys = require("sys") + , WordcutDict = require("./dict") + , WordcutCore = require("./wordcut_core") + , PathInfoBuilder = require("./path_info_builder") + , PathSelector = require("./path_selector") + , Acceptors = require("./acceptors") + , latinRules = require("./latin_rules") + , thaiRules = require("./thai_rules") + , _ = require("underscore"); + + +var Wordcut = Object.create(WordcutCore); +Wordcut.defaultPathInfoBuilder = PathInfoBuilder; +Wordcut.defaultPathSelector = PathSelector; +Wordcut.defaultAcceptors = Acceptors; +Wordcut.defaultLatinRules = latinRules; +Wordcut.defaultThaiRules = thaiRules; +Wordcut.defaultDict = WordcutDict; + + +Wordcut.initNoDict = function(dict_path) { + var self = this; + self.pathInfoBuilder = new self.defaultPathInfoBuilder; + self.pathSelector = new self.defaultPathSelector; + self.acceptors = new self.defaultAcceptors; + self.defaultLatinRules.forEach(function(rule) { + self.acceptors.creators.push(rule); + }); + self.defaultThaiRules.forEach(function(rule) { + self.acceptors.creators.push(rule); + }); +}; + +Wordcut.init = function(dict_path, withDefault, additionalWords) { + withDefault = withDefault || false; + this.initNoDict(); + var dict = _.clone(this.defaultDict); + dict.init(dict_path, withDefault, additionalWords); + this.acceptors.creators.push(dict); +}; + +module.exports = Wordcut; + +},{"./acceptors":1,"./dict":2,"./latin_rules":3,"./path_info_builder":4,"./path_selector":5,"./thai_rules":6,"./wordcut_core":8,"sys":28,"underscore":25}],8:[function(require,module,exports){ +var WordcutCore = { + + buildPath: function(text) { + var self = this + , path = self.pathSelector.createPath() + , leftBoundary = 0; + self.acceptors.reset(); + for (var i = 0; i < text.length; i++) { + var ch = text[i]; + self.acceptors.transit(ch); + + var possiblePathInfos = self + .pathInfoBuilder + .build(path, + self.acceptors.getFinalAcceptors(), + i, + leftBoundary, + text); + var selectedPath = self.pathSelector.selectPath(possiblePathInfos) + + path.push(selectedPath); + if (selectedPath.type !== "UNK") { + leftBoundary = i; + } + } + return path; + }, + + pathToRanges: function(path) { + var e = path.length - 1 + , ranges = []; + + while (e > 0) { + var info = path[e] + , s = info.p; + + if (info.merge !== undefined && ranges.length > 0) { + var r = ranges[ranges.length - 1]; + r.s = info.merge; + s = r.s; + } else { + ranges.push({s:s, e:e}); + } + e = s; + } + return ranges.reverse(); + }, + + rangesToText: function(text, ranges, delimiter) { + return ranges.map(function(r) { + return text.substring(r.s, r.e); + }).join(delimiter); + }, + + cut: function(text, delimiter) { + var path = this.buildPath(text) + , ranges = this.pathToRanges(path); + return this + .rangesToText(text, ranges, + (delimiter === undefined ? "|" : delimiter)); + }, + + cutIntoRanges: function(text, noText) { + var path = this.buildPath(text) + , ranges = this.pathToRanges(path); + + if (!noText) { + ranges.forEach(function(r) { + r.text = text.substring(r.s, r.e); + }); + } + return ranges; + }, + + cutIntoArray: function(text) { + var path = this.buildPath(text) + , ranges = this.pathToRanges(path); + + return ranges.map(function(r) { + return text.substring(r.s, r.e) + }); + } +}; + +module.exports = WordcutCore; + +},{}],9:[function(require,module,exports){ +// http://wiki.commonjs.org/wiki/Unit_Testing/1.0 +// +// THIS IS NOT TESTED NOR LIKELY TO WORK OUTSIDE V8! +// +// Originally from narwhal.js (http://narwhaljs.org) +// Copyright (c) 2009 Thomas Robinson <280north.com> +// +// Permission is hereby granted, free of charge, to any person obtaining a copy +// of this software and associated documentation files (the 'Software'), to +// deal in the Software without restriction, including without limitation the +// rights to use, copy, modify, merge, publish, distribute, sublicense, and/or +// sell copies of the Software, and to permit persons to whom the Software is +// furnished to do so, subject to the following conditions: +// +// The above copyright notice and this permission notice shall be included in +// all copies or substantial portions of the Software. +// +// THE SOFTWARE IS PROVIDED 'AS IS', WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +// AUTHORS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN +// ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION +// WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. + +// when used in node, this will actually load the util module we depend on +// versus loading the builtin util module as happens otherwise +// this is a bug in node module loading as far as I am concerned +var util = require('util/'); + +var pSlice = Array.prototype.slice; +var hasOwn = Object.prototype.hasOwnProperty; + +// 1. The assert module provides functions that throw +// AssertionError's when particular conditions are not met. The +// assert module must conform to the following interface. + +var assert = module.exports = ok; + +// 2. The AssertionError is defined in assert. +// new assert.AssertionError({ message: message, +// actual: actual, +// expected: expected }) + +assert.AssertionError = function AssertionError(options) { + this.name = 'AssertionError'; + this.actual = options.actual; + this.expected = options.expected; + this.operator = options.operator; + if (options.message) { + this.message = options.message; + this.generatedMessage = false; + } else { + this.message = getMessage(this); + this.generatedMessage = true; + } + var stackStartFunction = options.stackStartFunction || fail; + + if (Error.captureStackTrace) { + Error.captureStackTrace(this, stackStartFunction); + } + else { + // non v8 browsers so we can have a stacktrace + var err = new Error(); + if (err.stack) { + var out = err.stack; + + // try to strip useless frames + var fn_name = stackStartFunction.name; + var idx = out.indexOf('\n' + fn_name); + if (idx >= 0) { + // once we have located the function frame + // we need to strip out everything before it (and its line) + var next_line = out.indexOf('\n', idx + 1); + out = out.substring(next_line + 1); + } + + this.stack = out; + } + } +}; + +// assert.AssertionError instanceof Error +util.inherits(assert.AssertionError, Error); + +function replacer(key, value) { + if (util.isUndefined(value)) { + return '' + value; + } + if (util.isNumber(value) && !isFinite(value)) { + return value.toString(); + } + if (util.isFunction(value) || util.isRegExp(value)) { + return value.toString(); + } + return value; +} + +function truncate(s, n) { + if (util.isString(s)) { + return s.length < n ? s : s.slice(0, n); + } else { + return s; + } +} + +function getMessage(self) { + return truncate(JSON.stringify(self.actual, replacer), 128) + ' ' + + self.operator + ' ' + + truncate(JSON.stringify(self.expected, replacer), 128); +} + +// At present only the three keys mentioned above are used and +// understood by the spec. Implementations or sub modules can pass +// other keys to the AssertionError's constructor - they will be +// ignored. + +// 3. All of the following functions must throw an AssertionError +// when a corresponding condition is not met, with a message that +// may be undefined if not provided. All assertion methods provide +// both the actual and expected values to the assertion error for +// display purposes. + +function fail(actual, expected, message, operator, stackStartFunction) { + throw new assert.AssertionError({ + message: message, + actual: actual, + expected: expected, + operator: operator, + stackStartFunction: stackStartFunction + }); +} + +// EXTENSION! allows for well behaved errors defined elsewhere. +assert.fail = fail; + +// 4. Pure assertion tests whether a value is truthy, as determined +// by !!guard. +// assert.ok(guard, message_opt); +// This statement is equivalent to assert.equal(true, !!guard, +// message_opt);. To test strictly for the value true, use +// assert.strictEqual(true, guard, message_opt);. + +function ok(value, message) { + if (!value) fail(value, true, message, '==', assert.ok); +} +assert.ok = ok; + +// 5. The equality assertion tests shallow, coercive equality with +// ==. +// assert.equal(actual, expected, message_opt); + +assert.equal = function equal(actual, expected, message) { + if (actual != expected) fail(actual, expected, message, '==', assert.equal); +}; + +// 6. The non-equality assertion tests for whether two objects are not equal +// with != assert.notEqual(actual, expected, message_opt); + +assert.notEqual = function notEqual(actual, expected, message) { + if (actual == expected) { + fail(actual, expected, message, '!=', assert.notEqual); + } +}; + +// 7. The equivalence assertion tests a deep equality relation. +// assert.deepEqual(actual, expected, message_opt); + +assert.deepEqual = function deepEqual(actual, expected, message) { + if (!_deepEqual(actual, expected)) { + fail(actual, expected, message, 'deepEqual', assert.deepEqual); + } +}; + +function _deepEqual(actual, expected) { + // 7.1. All identical values are equivalent, as determined by ===. + if (actual === expected) { + return true; + + } else if (util.isBuffer(actual) && util.isBuffer(expected)) { + if (actual.length != expected.length) return false; + + for (var i = 0; i < actual.length; i++) { + if (actual[i] !== expected[i]) return false; + } + + return true; + + // 7.2. If the expected value is a Date object, the actual value is + // equivalent if it is also a Date object that refers to the same time. + } else if (util.isDate(actual) && util.isDate(expected)) { + return actual.getTime() === expected.getTime(); + + // 7.3 If the expected value is a RegExp object, the actual value is + // equivalent if it is also a RegExp object with the same source and + // properties (`global`, `multiline`, `lastIndex`, `ignoreCase`). + } else if (util.isRegExp(actual) && util.isRegExp(expected)) { + return actual.source === expected.source && + actual.global === expected.global && + actual.multiline === expected.multiline && + actual.lastIndex === expected.lastIndex && + actual.ignoreCase === expected.ignoreCase; + + // 7.4. Other pairs that do not both pass typeof value == 'object', + // equivalence is determined by ==. + } else if (!util.isObject(actual) && !util.isObject(expected)) { + return actual == expected; + + // 7.5 For all other Object pairs, including Array objects, equivalence is + // determined by having the same number of owned properties (as verified + // with Object.prototype.hasOwnProperty.call), the same set of keys + // (although not necessarily the same order), equivalent values for every + // corresponding key, and an identical 'prototype' property. Note: this + // accounts for both named and indexed properties on Arrays. + } else { + return objEquiv(actual, expected); + } +} + +function isArguments(object) { + return Object.prototype.toString.call(object) == '[object Arguments]'; +} + +function objEquiv(a, b) { + if (util.isNullOrUndefined(a) || util.isNullOrUndefined(b)) + return false; + // an identical 'prototype' property. + if (a.prototype !== b.prototype) return false; + // if one is a primitive, the other must be same + if (util.isPrimitive(a) || util.isPrimitive(b)) { + return a === b; + } + var aIsArgs = isArguments(a), + bIsArgs = isArguments(b); + if ((aIsArgs && !bIsArgs) || (!aIsArgs && bIsArgs)) + return false; + if (aIsArgs) { + a = pSlice.call(a); + b = pSlice.call(b); + return _deepEqual(a, b); + } + var ka = objectKeys(a), + kb = objectKeys(b), + key, i; + // having the same number of owned properties (keys incorporates + // hasOwnProperty) + if (ka.length != kb.length) + return false; + //the same set of keys (although not necessarily the same order), + ka.sort(); + kb.sort(); + //~~~cheap key test + for (i = ka.length - 1; i >= 0; i--) { + if (ka[i] != kb[i]) + return false; + } + //equivalent values for every corresponding key, and + //~~~possibly expensive deep test + for (i = ka.length - 1; i >= 0; i--) { + key = ka[i]; + if (!_deepEqual(a[key], b[key])) return false; + } + return true; +} + +// 8. The non-equivalence assertion tests for any deep inequality. +// assert.notDeepEqual(actual, expected, message_opt); + +assert.notDeepEqual = function notDeepEqual(actual, expected, message) { + if (_deepEqual(actual, expected)) { + fail(actual, expected, message, 'notDeepEqual', assert.notDeepEqual); + } +}; + +// 9. The strict equality assertion tests strict equality, as determined by ===. +// assert.strictEqual(actual, expected, message_opt); + +assert.strictEqual = function strictEqual(actual, expected, message) { + if (actual !== expected) { + fail(actual, expected, message, '===', assert.strictEqual); + } +}; + +// 10. The strict non-equality assertion tests for strict inequality, as +// determined by !==. assert.notStrictEqual(actual, expected, message_opt); + +assert.notStrictEqual = function notStrictEqual(actual, expected, message) { + if (actual === expected) { + fail(actual, expected, message, '!==', assert.notStrictEqual); + } +}; + +function expectedException(actual, expected) { + if (!actual || !expected) { + return false; + } + + if (Object.prototype.toString.call(expected) == '[object RegExp]') { + return expected.test(actual); + } else if (actual instanceof expected) { + return true; + } else if (expected.call({}, actual) === true) { + return true; + } + + return false; +} + +function _throws(shouldThrow, block, expected, message) { + var actual; + + if (util.isString(expected)) { + message = expected; + expected = null; + } + + try { + block(); + } catch (e) { + actual = e; + } + + message = (expected && expected.name ? ' (' + expected.name + ').' : '.') + + (message ? ' ' + message : '.'); + + if (shouldThrow && !actual) { + fail(actual, expected, 'Missing expected exception' + message); + } + + if (!shouldThrow && expectedException(actual, expected)) { + fail(actual, expected, 'Got unwanted exception' + message); + } + + if ((shouldThrow && actual && expected && + !expectedException(actual, expected)) || (!shouldThrow && actual)) { + throw actual; + } +} + +// 11. Expected to throw an error: +// assert.throws(block, Error_opt, message_opt); + +assert.throws = function(block, /*optional*/error, /*optional*/message) { + _throws.apply(this, [true].concat(pSlice.call(arguments))); +}; + +// EXTENSION! This is annoying to write outside this module. +assert.doesNotThrow = function(block, /*optional*/message) { + _throws.apply(this, [false].concat(pSlice.call(arguments))); +}; + +assert.ifError = function(err) { if (err) {throw err;}}; + +var objectKeys = Object.keys || function (obj) { + var keys = []; + for (var key in obj) { + if (hasOwn.call(obj, key)) keys.push(key); + } + return keys; +}; + +},{"util/":28}],10:[function(require,module,exports){ +'use strict'; +module.exports = balanced; +function balanced(a, b, str) { + if (a instanceof RegExp) a = maybeMatch(a, str); + if (b instanceof RegExp) b = maybeMatch(b, str); + + var r = range(a, b, str); + + return r && { + start: r[0], + end: r[1], + pre: str.slice(0, r[0]), + body: str.slice(r[0] + a.length, r[1]), + post: str.slice(r[1] + b.length) + }; +} + +function maybeMatch(reg, str) { + var m = str.match(reg); + return m ? m[0] : null; +} + +balanced.range = range; +function range(a, b, str) { + var begs, beg, left, right, result; + var ai = str.indexOf(a); + var bi = str.indexOf(b, ai + 1); + var i = ai; + + if (ai >= 0 && bi > 0) { + begs = []; + left = str.length; + + while (i >= 0 && !result) { + if (i == ai) { + begs.push(i); + ai = str.indexOf(a, i + 1); + } else if (begs.length == 1) { + result = [ begs.pop(), bi ]; + } else { + beg = begs.pop(); + if (beg < left) { + left = beg; + right = bi; + } + + bi = str.indexOf(b, i + 1); + } + + i = ai < bi && ai >= 0 ? ai : bi; + } + + if (begs.length) { + result = [ left, right ]; + } + } + + return result; +} + +},{}],11:[function(require,module,exports){ +var concatMap = require('concat-map'); +var balanced = require('balanced-match'); + +module.exports = expandTop; + +var escSlash = '\0SLASH'+Math.random()+'\0'; +var escOpen = '\0OPEN'+Math.random()+'\0'; +var escClose = '\0CLOSE'+Math.random()+'\0'; +var escComma = '\0COMMA'+Math.random()+'\0'; +var escPeriod = '\0PERIOD'+Math.random()+'\0'; + +function numeric(str) { + return parseInt(str, 10) == str + ? parseInt(str, 10) + : str.charCodeAt(0); +} + +function escapeBraces(str) { + return str.split('\\\\').join(escSlash) + .split('\\{').join(escOpen) + .split('\\}').join(escClose) + .split('\\,').join(escComma) + .split('\\.').join(escPeriod); +} + +function unescapeBraces(str) { + return str.split(escSlash).join('\\') + .split(escOpen).join('{') + .split(escClose).join('}') + .split(escComma).join(',') + .split(escPeriod).join('.'); +} + + +// Basically just str.split(","), but handling cases +// where we have nested braced sections, which should be +// treated as individual members, like {a,{b,c},d} +function parseCommaParts(str) { + if (!str) + return ['']; + + var parts = []; + var m = balanced('{', '}', str); + + if (!m) + return str.split(','); + + var pre = m.pre; + var body = m.body; + var post = m.post; + var p = pre.split(','); + + p[p.length-1] += '{' + body + '}'; + var postParts = parseCommaParts(post); + if (post.length) { + p[p.length-1] += postParts.shift(); + p.push.apply(p, postParts); + } + + parts.push.apply(parts, p); + + return parts; +} + +function expandTop(str) { + if (!str) + return []; + + // I don't know why Bash 4.3 does this, but it does. + // Anything starting with {} will have the first two bytes preserved + // but *only* at the top level, so {},a}b will not expand to anything, + // but a{},b}c will be expanded to [a}c,abc]. + // One could argue that this is a bug in Bash, but since the goal of + // this module is to match Bash's rules, we escape a leading {} + if (str.substr(0, 2) === '{}') { + str = '\\{\\}' + str.substr(2); + } + + return expand(escapeBraces(str), true).map(unescapeBraces); +} + +function identity(e) { + return e; +} + +function embrace(str) { + return '{' + str + '}'; +} +function isPadded(el) { + return /^-?0\d/.test(el); +} + +function lte(i, y) { + return i <= y; +} +function gte(i, y) { + return i >= y; +} + +function expand(str, isTop) { + var expansions = []; + + var m = balanced('{', '}', str); + if (!m || /\$$/.test(m.pre)) return [str]; + + var isNumericSequence = /^-?\d+\.\.-?\d+(?:\.\.-?\d+)?$/.test(m.body); + var isAlphaSequence = /^[a-zA-Z]\.\.[a-zA-Z](?:\.\.-?\d+)?$/.test(m.body); + var isSequence = isNumericSequence || isAlphaSequence; + var isOptions = m.body.indexOf(',') >= 0; + if (!isSequence && !isOptions) { + // {a},b} + if (m.post.match(/,.*\}/)) { + str = m.pre + '{' + m.body + escClose + m.post; + return expand(str); + } + return [str]; + } + + var n; + if (isSequence) { + n = m.body.split(/\.\./); + } else { + n = parseCommaParts(m.body); + if (n.length === 1) { + // x{{a,b}}y ==> x{a}y x{b}y + n = expand(n[0], false).map(embrace); + if (n.length === 1) { + var post = m.post.length + ? expand(m.post, false) + : ['']; + return post.map(function(p) { + return m.pre + n[0] + p; + }); + } + } + } + + // at this point, n is the parts, and we know it's not a comma set + // with a single entry. + + // no need to expand pre, since it is guaranteed to be free of brace-sets + var pre = m.pre; + var post = m.post.length + ? expand(m.post, false) + : ['']; + + var N; + + if (isSequence) { + var x = numeric(n[0]); + var y = numeric(n[1]); + var width = Math.max(n[0].length, n[1].length) + var incr = n.length == 3 + ? Math.abs(numeric(n[2])) + : 1; + var test = lte; + var reverse = y < x; + if (reverse) { + incr *= -1; + test = gte; + } + var pad = n.some(isPadded); + + N = []; + + for (var i = x; test(i, y); i += incr) { + var c; + if (isAlphaSequence) { + c = String.fromCharCode(i); + if (c === '\\') + c = ''; + } else { + c = String(i); + if (pad) { + var need = width - c.length; + if (need > 0) { + var z = new Array(need + 1).join('0'); + if (i < 0) + c = '-' + z + c.slice(1); + else + c = z + c; + } + } + } + N.push(c); + } + } else { + N = concatMap(n, function(el) { return expand(el, false) }); + } + + for (var j = 0; j < N.length; j++) { + for (var k = 0; k < post.length; k++) { + var expansion = pre + N[j] + post[k]; + if (!isTop || isSequence || expansion) + expansions.push(expansion); + } + } + + return expansions; +} + + +},{"balanced-match":10,"concat-map":13}],12:[function(require,module,exports){ + +},{}],13:[function(require,module,exports){ +module.exports = function (xs, fn) { + var res = []; + for (var i = 0; i < xs.length; i++) { + var x = fn(xs[i], i); + if (isArray(x)) res.push.apply(res, x); + else res.push(x); + } + return res; +}; + +var isArray = Array.isArray || function (xs) { + return Object.prototype.toString.call(xs) === '[object Array]'; +}; + +},{}],14:[function(require,module,exports){ +// Copyright Joyent, Inc. and other Node contributors. +// +// Permission is hereby granted, free of charge, to any person obtaining a +// copy of this software and associated documentation files (the +// "Software"), to deal in the Software without restriction, including +// without limitation the rights to use, copy, modify, merge, publish, +// distribute, sublicense, and/or sell copies of the Software, and to permit +// persons to whom the Software is furnished to do so, subject to the +// following conditions: +// +// The above copyright notice and this permission notice shall be included +// in all copies or substantial portions of the Software. +// +// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS +// OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF +// MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN +// NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, +// DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR +// OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE +// USE OR OTHER DEALINGS IN THE SOFTWARE. + +function EventEmitter() { + this._events = this._events || {}; + this._maxListeners = this._maxListeners || undefined; +} +module.exports = EventEmitter; + +// Backwards-compat with node 0.10.x +EventEmitter.EventEmitter = EventEmitter; + +EventEmitter.prototype._events = undefined; +EventEmitter.prototype._maxListeners = undefined; + +// By default EventEmitters will print a warning if more than 10 listeners are +// added to it. This is a useful default which helps finding memory leaks. +EventEmitter.defaultMaxListeners = 10; + +// Obviously not all Emitters should be limited to 10. This function allows +// that to be increased. Set to zero for unlimited. +EventEmitter.prototype.setMaxListeners = function(n) { + if (!isNumber(n) || n < 0 || isNaN(n)) + throw TypeError('n must be a positive number'); + this._maxListeners = n; + return this; +}; + +EventEmitter.prototype.emit = function(type) { + var er, handler, len, args, i, listeners; + + if (!this._events) + this._events = {}; + + // If there is no 'error' event listener then throw. + if (type === 'error') { + if (!this._events.error || + (isObject(this._events.error) && !this._events.error.length)) { + er = arguments[1]; + if (er instanceof Error) { + throw er; // Unhandled 'error' event + } + throw TypeError('Uncaught, unspecified "error" event.'); + } + } + + handler = this._events[type]; + + if (isUndefined(handler)) + return false; + + if (isFunction(handler)) { + switch (arguments.length) { + // fast cases + case 1: + handler.call(this); + break; + case 2: + handler.call(this, arguments[1]); + break; + case 3: + handler.call(this, arguments[1], arguments[2]); + break; + // slower + default: + len = arguments.length; + args = new Array(len - 1); + for (i = 1; i < len; i++) + args[i - 1] = arguments[i]; + handler.apply(this, args); + } + } else if (isObject(handler)) { + len = arguments.length; + args = new Array(len - 1); + for (i = 1; i < len; i++) + args[i - 1] = arguments[i]; + + listeners = handler.slice(); + len = listeners.length; + for (i = 0; i < len; i++) + listeners[i].apply(this, args); + } + + return true; +}; + +EventEmitter.prototype.addListener = function(type, listener) { + var m; + + if (!isFunction(listener)) + throw TypeError('listener must be a function'); + + if (!this._events) + this._events = {}; + + // To avoid recursion in the case that type === "newListener"! Before + // adding it to the listeners, first emit "newListener". + if (this._events.newListener) + this.emit('newListener', type, + isFunction(listener.listener) ? + listener.listener : listener); + + if (!this._events[type]) + // Optimize the case of one listener. Don't need the extra array object. + this._events[type] = listener; + else if (isObject(this._events[type])) + // If we've already got an array, just append. + this._events[type].push(listener); + else + // Adding the second element, need to change to array. + this._events[type] = [this._events[type], listener]; + + // Check for listener leak + if (isObject(this._events[type]) && !this._events[type].warned) { + var m; + if (!isUndefined(this._maxListeners)) { + m = this._maxListeners; + } else { + m = EventEmitter.defaultMaxListeners; + } + + if (m && m > 0 && this._events[type].length > m) { + this._events[type].warned = true; + console.error('(node) warning: possible EventEmitter memory ' + + 'leak detected. %d listeners added. ' + + 'Use emitter.setMaxListeners() to increase limit.', + this._events[type].length); + if (typeof console.trace === 'function') { + // not supported in IE 10 + console.trace(); + } + } + } + + return this; +}; + +EventEmitter.prototype.on = EventEmitter.prototype.addListener; + +EventEmitter.prototype.once = function(type, listener) { + if (!isFunction(listener)) + throw TypeError('listener must be a function'); + + var fired = false; + + function g() { + this.removeListener(type, g); + + if (!fired) { + fired = true; + listener.apply(this, arguments); + } + } + + g.listener = listener; + this.on(type, g); + + return this; +}; + +// emits a 'removeListener' event iff the listener was removed +EventEmitter.prototype.removeListener = function(type, listener) { + var list, position, length, i; + + if (!isFunction(listener)) + throw TypeError('listener must be a function'); + + if (!this._events || !this._events[type]) + return this; + + list = this._events[type]; + length = list.length; + position = -1; + + if (list === listener || + (isFunction(list.listener) && list.listener === listener)) { + delete this._events[type]; + if (this._events.removeListener) + this.emit('removeListener', type, listener); + + } else if (isObject(list)) { + for (i = length; i-- > 0;) { + if (list[i] === listener || + (list[i].listener && list[i].listener === listener)) { + position = i; + break; + } + } + + if (position < 0) + return this; + + if (list.length === 1) { + list.length = 0; + delete this._events[type]; + } else { + list.splice(position, 1); + } + + if (this._events.removeListener) + this.emit('removeListener', type, listener); + } + + return this; +}; + +EventEmitter.prototype.removeAllListeners = function(type) { + var key, listeners; + + if (!this._events) + return this; + + // not listening for removeListener, no need to emit + if (!this._events.removeListener) { + if (arguments.length === 0) + this._events = {}; + else if (this._events[type]) + delete this._events[type]; + return this; + } + + // emit removeListener for all listeners on all events + if (arguments.length === 0) { + for (key in this._events) { + if (key === 'removeListener') continue; + this.removeAllListeners(key); + } + this.removeAllListeners('removeListener'); + this._events = {}; + return this; + } + + listeners = this._events[type]; + + if (isFunction(listeners)) { + this.removeListener(type, listeners); + } else { + // LIFO order + while (listeners.length) + this.removeListener(type, listeners[listeners.length - 1]); + } + delete this._events[type]; + + return this; +}; + +EventEmitter.prototype.listeners = function(type) { + var ret; + if (!this._events || !this._events[type]) + ret = []; + else if (isFunction(this._events[type])) + ret = [this._events[type]]; + else + ret = this._events[type].slice(); + return ret; +}; + +EventEmitter.listenerCount = function(emitter, type) { + var ret; + if (!emitter._events || !emitter._events[type]) + ret = 0; + else if (isFunction(emitter._events[type])) + ret = 1; + else + ret = emitter._events[type].length; + return ret; +}; + +function isFunction(arg) { + return typeof arg === 'function'; +} + +function isNumber(arg) { + return typeof arg === 'number'; +} + +function isObject(arg) { + return typeof arg === 'object' && arg !== null; +} + +function isUndefined(arg) { + return arg === void 0; +} + +},{}],15:[function(require,module,exports){ +(function (process){ +exports.alphasort = alphasort +exports.alphasorti = alphasorti +exports.setopts = setopts +exports.ownProp = ownProp +exports.makeAbs = makeAbs +exports.finish = finish +exports.mark = mark +exports.isIgnored = isIgnored +exports.childrenIgnored = childrenIgnored + +function ownProp (obj, field) { + return Object.prototype.hasOwnProperty.call(obj, field) +} + +var path = require("path") +var minimatch = require("minimatch") +var isAbsolute = require("path-is-absolute") +var Minimatch = minimatch.Minimatch + +function alphasorti (a, b) { + return a.toLowerCase().localeCompare(b.toLowerCase()) +} + +function alphasort (a, b) { + return a.localeCompare(b) +} + +function setupIgnores (self, options) { + self.ignore = options.ignore || [] + + if (!Array.isArray(self.ignore)) + self.ignore = [self.ignore] + + if (self.ignore.length) { + self.ignore = self.ignore.map(ignoreMap) + } +} + +function ignoreMap (pattern) { + var gmatcher = null + if (pattern.slice(-3) === '/**') { + var gpattern = pattern.replace(/(\/\*\*)+$/, '') + gmatcher = new Minimatch(gpattern) + } + + return { + matcher: new Minimatch(pattern), + gmatcher: gmatcher + } +} + +function setopts (self, pattern, options) { + if (!options) + options = {} + + // base-matching: just use globstar for that. + if (options.matchBase && -1 === pattern.indexOf("/")) { + if (options.noglobstar) { + throw new Error("base matching requires globstar") + } + pattern = "**/" + pattern + } + + self.silent = !!options.silent + self.pattern = pattern + self.strict = options.strict !== false + self.realpath = !!options.realpath + self.realpathCache = options.realpathCache || Object.create(null) + self.follow = !!options.follow + self.dot = !!options.dot + self.mark = !!options.mark + self.nodir = !!options.nodir + if (self.nodir) + self.mark = true + self.sync = !!options.sync + self.nounique = !!options.nounique + self.nonull = !!options.nonull + self.nosort = !!options.nosort + self.nocase = !!options.nocase + self.stat = !!options.stat + self.noprocess = !!options.noprocess + + self.maxLength = options.maxLength || Infinity + self.cache = options.cache || Object.create(null) + self.statCache = options.statCache || Object.create(null) + self.symlinks = options.symlinks || Object.create(null) + + setupIgnores(self, options) + + self.changedCwd = false + var cwd = process.cwd() + if (!ownProp(options, "cwd")) + self.cwd = cwd + else { + self.cwd = options.cwd + self.changedCwd = path.resolve(options.cwd) !== cwd + } + + self.root = options.root || path.resolve(self.cwd, "/") + self.root = path.resolve(self.root) + if (process.platform === "win32") + self.root = self.root.replace(/\\/g, "/") + + self.nomount = !!options.nomount + + // disable comments and negation unless the user explicitly + // passes in false as the option. + options.nonegate = options.nonegate === false ? false : true + options.nocomment = options.nocomment === false ? false : true + deprecationWarning(options) + + self.minimatch = new Minimatch(pattern, options) + self.options = self.minimatch.options +} + +// TODO(isaacs): remove entirely in v6 +// exported to reset in tests +exports.deprecationWarned +function deprecationWarning(options) { + if (!options.nonegate || !options.nocomment) { + if (process.noDeprecation !== true && !exports.deprecationWarned) { + var msg = 'glob WARNING: comments and negation will be disabled in v6' + if (process.throwDeprecation) + throw new Error(msg) + else if (process.traceDeprecation) + console.trace(msg) + else + console.error(msg) + + exports.deprecationWarned = true + } + } +} + +function finish (self) { + var nou = self.nounique + var all = nou ? [] : Object.create(null) + + for (var i = 0, l = self.matches.length; i < l; i ++) { + var matches = self.matches[i] + if (!matches || Object.keys(matches).length === 0) { + if (self.nonull) { + // do like the shell, and spit out the literal glob + var literal = self.minimatch.globSet[i] + if (nou) + all.push(literal) + else + all[literal] = true + } + } else { + // had matches + var m = Object.keys(matches) + if (nou) + all.push.apply(all, m) + else + m.forEach(function (m) { + all[m] = true + }) + } + } + + if (!nou) + all = Object.keys(all) + + if (!self.nosort) + all = all.sort(self.nocase ? alphasorti : alphasort) + + // at *some* point we statted all of these + if (self.mark) { + for (var i = 0; i < all.length; i++) { + all[i] = self._mark(all[i]) + } + if (self.nodir) { + all = all.filter(function (e) { + return !(/\/$/.test(e)) + }) + } + } + + if (self.ignore.length) + all = all.filter(function(m) { + return !isIgnored(self, m) + }) + + self.found = all +} + +function mark (self, p) { + var abs = makeAbs(self, p) + var c = self.cache[abs] + var m = p + if (c) { + var isDir = c === 'DIR' || Array.isArray(c) + var slash = p.slice(-1) === '/' + + if (isDir && !slash) + m += '/' + else if (!isDir && slash) + m = m.slice(0, -1) + + if (m !== p) { + var mabs = makeAbs(self, m) + self.statCache[mabs] = self.statCache[abs] + self.cache[mabs] = self.cache[abs] + } + } + + return m +} + +// lotta situps... +function makeAbs (self, f) { + var abs = f + if (f.charAt(0) === '/') { + abs = path.join(self.root, f) + } else if (isAbsolute(f) || f === '') { + abs = f + } else if (self.changedCwd) { + abs = path.resolve(self.cwd, f) + } else { + abs = path.resolve(f) + } + return abs +} + + +// Return true, if pattern ends with globstar '**', for the accompanying parent directory. +// Ex:- If node_modules/** is the pattern, add 'node_modules' to ignore list along with it's contents +function isIgnored (self, path) { + if (!self.ignore.length) + return false + + return self.ignore.some(function(item) { + return item.matcher.match(path) || !!(item.gmatcher && item.gmatcher.match(path)) + }) +} + +function childrenIgnored (self, path) { + if (!self.ignore.length) + return false + + return self.ignore.some(function(item) { + return !!(item.gmatcher && item.gmatcher.match(path)) + }) +} + +}).call(this,require('_process')) +},{"_process":24,"minimatch":20,"path":22,"path-is-absolute":23}],16:[function(require,module,exports){ +(function (process){ +// Approach: +// +// 1. Get the minimatch set +// 2. For each pattern in the set, PROCESS(pattern, false) +// 3. Store matches per-set, then uniq them +// +// PROCESS(pattern, inGlobStar) +// Get the first [n] items from pattern that are all strings +// Join these together. This is PREFIX. +// If there is no more remaining, then stat(PREFIX) and +// add to matches if it succeeds. END. +// +// If inGlobStar and PREFIX is symlink and points to dir +// set ENTRIES = [] +// else readdir(PREFIX) as ENTRIES +// If fail, END +// +// with ENTRIES +// If pattern[n] is GLOBSTAR +// // handle the case where the globstar match is empty +// // by pruning it out, and testing the resulting pattern +// PROCESS(pattern[0..n] + pattern[n+1 .. $], false) +// // handle other cases. +// for ENTRY in ENTRIES (not dotfiles) +// // attach globstar + tail onto the entry +// // Mark that this entry is a globstar match +// PROCESS(pattern[0..n] + ENTRY + pattern[n .. $], true) +// +// else // not globstar +// for ENTRY in ENTRIES (not dotfiles, unless pattern[n] is dot) +// Test ENTRY against pattern[n] +// If fails, continue +// If passes, PROCESS(pattern[0..n] + item + pattern[n+1 .. $]) +// +// Caveat: +// Cache all stats and readdirs results to minimize syscall. Since all +// we ever care about is existence and directory-ness, we can just keep +// `true` for files, and [children,...] for directories, or `false` for +// things that don't exist. + +module.exports = glob + +var fs = require('fs') +var minimatch = require('minimatch') +var Minimatch = minimatch.Minimatch +var inherits = require('inherits') +var EE = require('events').EventEmitter +var path = require('path') +var assert = require('assert') +var isAbsolute = require('path-is-absolute') +var globSync = require('./sync.js') +var common = require('./common.js') +var alphasort = common.alphasort +var alphasorti = common.alphasorti +var setopts = common.setopts +var ownProp = common.ownProp +var inflight = require('inflight') +var util = require('util') +var childrenIgnored = common.childrenIgnored +var isIgnored = common.isIgnored + +var once = require('once') + +function glob (pattern, options, cb) { + if (typeof options === 'function') cb = options, options = {} + if (!options) options = {} + + if (options.sync) { + if (cb) + throw new TypeError('callback provided to sync glob') + return globSync(pattern, options) + } + + return new Glob(pattern, options, cb) +} + +glob.sync = globSync +var GlobSync = glob.GlobSync = globSync.GlobSync + +// old api surface +glob.glob = glob + +glob.hasMagic = function (pattern, options_) { + var options = util._extend({}, options_) + options.noprocess = true + + var g = new Glob(pattern, options) + var set = g.minimatch.set + if (set.length > 1) + return true + + for (var j = 0; j < set[0].length; j++) { + if (typeof set[0][j] !== 'string') + return true + } + + return false +} + +glob.Glob = Glob +inherits(Glob, EE) +function Glob (pattern, options, cb) { + if (typeof options === 'function') { + cb = options + options = null + } + + if (options && options.sync) { + if (cb) + throw new TypeError('callback provided to sync glob') + return new GlobSync(pattern, options) + } + + if (!(this instanceof Glob)) + return new Glob(pattern, options, cb) + + setopts(this, pattern, options) + this._didRealPath = false + + // process each pattern in the minimatch set + var n = this.minimatch.set.length + + // The matches are stored as {: true,...} so that + // duplicates are automagically pruned. + // Later, we do an Object.keys() on these. + // Keep them as a list so we can fill in when nonull is set. + this.matches = new Array(n) + + if (typeof cb === 'function') { + cb = once(cb) + this.on('error', cb) + this.on('end', function (matches) { + cb(null, matches) + }) + } + + var self = this + var n = this.minimatch.set.length + this._processing = 0 + this.matches = new Array(n) + + this._emitQueue = [] + this._processQueue = [] + this.paused = false + + if (this.noprocess) + return this + + if (n === 0) + return done() + + for (var i = 0; i < n; i ++) { + this._process(this.minimatch.set[i], i, false, done) + } + + function done () { + --self._processing + if (self._processing <= 0) + self._finish() + } +} + +Glob.prototype._finish = function () { + assert(this instanceof Glob) + if (this.aborted) + return + + if (this.realpath && !this._didRealpath) + return this._realpath() + + common.finish(this) + this.emit('end', this.found) +} + +Glob.prototype._realpath = function () { + if (this._didRealpath) + return + + this._didRealpath = true + + var n = this.matches.length + if (n === 0) + return this._finish() + + var self = this + for (var i = 0; i < this.matches.length; i++) + this._realpathSet(i, next) + + function next () { + if (--n === 0) + self._finish() + } +} + +Glob.prototype._realpathSet = function (index, cb) { + var matchset = this.matches[index] + if (!matchset) + return cb() + + var found = Object.keys(matchset) + var self = this + var n = found.length + + if (n === 0) + return cb() + + var set = this.matches[index] = Object.create(null) + found.forEach(function (p, i) { + // If there's a problem with the stat, then it means that + // one or more of the links in the realpath couldn't be + // resolved. just return the abs value in that case. + p = self._makeAbs(p) + fs.realpath(p, self.realpathCache, function (er, real) { + if (!er) + set[real] = true + else if (er.syscall === 'stat') + set[p] = true + else + self.emit('error', er) // srsly wtf right here + + if (--n === 0) { + self.matches[index] = set + cb() + } + }) + }) +} + +Glob.prototype._mark = function (p) { + return common.mark(this, p) +} + +Glob.prototype._makeAbs = function (f) { + return common.makeAbs(this, f) +} + +Glob.prototype.abort = function () { + this.aborted = true + this.emit('abort') +} + +Glob.prototype.pause = function () { + if (!this.paused) { + this.paused = true + this.emit('pause') + } +} + +Glob.prototype.resume = function () { + if (this.paused) { + this.emit('resume') + this.paused = false + if (this._emitQueue.length) { + var eq = this._emitQueue.slice(0) + this._emitQueue.length = 0 + for (var i = 0; i < eq.length; i ++) { + var e = eq[i] + this._emitMatch(e[0], e[1]) + } + } + if (this._processQueue.length) { + var pq = this._processQueue.slice(0) + this._processQueue.length = 0 + for (var i = 0; i < pq.length; i ++) { + var p = pq[i] + this._processing-- + this._process(p[0], p[1], p[2], p[3]) + } + } + } +} + +Glob.prototype._process = function (pattern, index, inGlobStar, cb) { + assert(this instanceof Glob) + assert(typeof cb === 'function') + + if (this.aborted) + return + + this._processing++ + if (this.paused) { + this._processQueue.push([pattern, index, inGlobStar, cb]) + return + } + + //console.error('PROCESS %d', this._processing, pattern) + + // Get the first [n] parts of pattern that are all strings. + var n = 0 + while (typeof pattern[n] === 'string') { + n ++ + } + // now n is the index of the first one that is *not* a string. + + // see if there's anything else + var prefix + switch (n) { + // if not, then this is rather simple + case pattern.length: + this._processSimple(pattern.join('/'), index, cb) + return + + case 0: + // pattern *starts* with some non-trivial item. + // going to readdir(cwd), but not include the prefix in matches. + prefix = null + break + + default: + // pattern has some string bits in the front. + // whatever it starts with, whether that's 'absolute' like /foo/bar, + // or 'relative' like '../baz' + prefix = pattern.slice(0, n).join('/') + break + } + + var remain = pattern.slice(n) + + // get the list of entries. + var read + if (prefix === null) + read = '.' + else if (isAbsolute(prefix) || isAbsolute(pattern.join('/'))) { + if (!prefix || !isAbsolute(prefix)) + prefix = '/' + prefix + read = prefix + } else + read = prefix + + var abs = this._makeAbs(read) + + //if ignored, skip _processing + if (childrenIgnored(this, read)) + return cb() + + var isGlobStar = remain[0] === minimatch.GLOBSTAR + if (isGlobStar) + this._processGlobStar(prefix, read, abs, remain, index, inGlobStar, cb) + else + this._processReaddir(prefix, read, abs, remain, index, inGlobStar, cb) +} + +Glob.prototype._processReaddir = function (prefix, read, abs, remain, index, inGlobStar, cb) { + var self = this + this._readdir(abs, inGlobStar, function (er, entries) { + return self._processReaddir2(prefix, read, abs, remain, index, inGlobStar, entries, cb) + }) +} + +Glob.prototype._processReaddir2 = function (prefix, read, abs, remain, index, inGlobStar, entries, cb) { + + // if the abs isn't a dir, then nothing can match! + if (!entries) + return cb() + + // It will only match dot entries if it starts with a dot, or if + // dot is set. Stuff like @(.foo|.bar) isn't allowed. + var pn = remain[0] + var negate = !!this.minimatch.negate + var rawGlob = pn._glob + var dotOk = this.dot || rawGlob.charAt(0) === '.' + + var matchedEntries = [] + for (var i = 0; i < entries.length; i++) { + var e = entries[i] + if (e.charAt(0) !== '.' || dotOk) { + var m + if (negate && !prefix) { + m = !e.match(pn) + } else { + m = e.match(pn) + } + if (m) + matchedEntries.push(e) + } + } + + //console.error('prd2', prefix, entries, remain[0]._glob, matchedEntries) + + var len = matchedEntries.length + // If there are no matched entries, then nothing matches. + if (len === 0) + return cb() + + // if this is the last remaining pattern bit, then no need for + // an additional stat *unless* the user has specified mark or + // stat explicitly. We know they exist, since readdir returned + // them. + + if (remain.length === 1 && !this.mark && !this.stat) { + if (!this.matches[index]) + this.matches[index] = Object.create(null) + + for (var i = 0; i < len; i ++) { + var e = matchedEntries[i] + if (prefix) { + if (prefix !== '/') + e = prefix + '/' + e + else + e = prefix + e + } + + if (e.charAt(0) === '/' && !this.nomount) { + e = path.join(this.root, e) + } + this._emitMatch(index, e) + } + // This was the last one, and no stats were needed + return cb() + } + + // now test all matched entries as stand-ins for that part + // of the pattern. + remain.shift() + for (var i = 0; i < len; i ++) { + var e = matchedEntries[i] + var newPattern + if (prefix) { + if (prefix !== '/') + e = prefix + '/' + e + else + e = prefix + e + } + this._process([e].concat(remain), index, inGlobStar, cb) + } + cb() +} + +Glob.prototype._emitMatch = function (index, e) { + if (this.aborted) + return + + if (this.matches[index][e]) + return + + if (isIgnored(this, e)) + return + + if (this.paused) { + this._emitQueue.push([index, e]) + return + } + + var abs = this._makeAbs(e) + + if (this.nodir) { + var c = this.cache[abs] + if (c === 'DIR' || Array.isArray(c)) + return + } + + if (this.mark) + e = this._mark(e) + + this.matches[index][e] = true + + var st = this.statCache[abs] + if (st) + this.emit('stat', e, st) + + this.emit('match', e) +} + +Glob.prototype._readdirInGlobStar = function (abs, cb) { + if (this.aborted) + return + + // follow all symlinked directories forever + // just proceed as if this is a non-globstar situation + if (this.follow) + return this._readdir(abs, false, cb) + + var lstatkey = 'lstat\0' + abs + var self = this + var lstatcb = inflight(lstatkey, lstatcb_) + + if (lstatcb) + fs.lstat(abs, lstatcb) + + function lstatcb_ (er, lstat) { + if (er) + return cb() + + var isSym = lstat.isSymbolicLink() + self.symlinks[abs] = isSym + + // If it's not a symlink or a dir, then it's definitely a regular file. + // don't bother doing a readdir in that case. + if (!isSym && !lstat.isDirectory()) { + self.cache[abs] = 'FILE' + cb() + } else + self._readdir(abs, false, cb) + } +} + +Glob.prototype._readdir = function (abs, inGlobStar, cb) { + if (this.aborted) + return + + cb = inflight('readdir\0'+abs+'\0'+inGlobStar, cb) + if (!cb) + return + + //console.error('RD %j %j', +inGlobStar, abs) + if (inGlobStar && !ownProp(this.symlinks, abs)) + return this._readdirInGlobStar(abs, cb) + + if (ownProp(this.cache, abs)) { + var c = this.cache[abs] + if (!c || c === 'FILE') + return cb() + + if (Array.isArray(c)) + return cb(null, c) + } + + var self = this + fs.readdir(abs, readdirCb(this, abs, cb)) +} + +function readdirCb (self, abs, cb) { + return function (er, entries) { + if (er) + self._readdirError(abs, er, cb) + else + self._readdirEntries(abs, entries, cb) + } +} + +Glob.prototype._readdirEntries = function (abs, entries, cb) { + if (this.aborted) + return + + // if we haven't asked to stat everything, then just + // assume that everything in there exists, so we can avoid + // having to stat it a second time. + if (!this.mark && !this.stat) { + for (var i = 0; i < entries.length; i ++) { + var e = entries[i] + if (abs === '/') + e = abs + e + else + e = abs + '/' + e + this.cache[e] = true + } + } + + this.cache[abs] = entries + return cb(null, entries) +} + +Glob.prototype._readdirError = function (f, er, cb) { + if (this.aborted) + return + + // handle errors, and cache the information + switch (er.code) { + case 'ENOTSUP': // https://github.com/isaacs/node-glob/issues/205 + case 'ENOTDIR': // totally normal. means it *does* exist. + this.cache[this._makeAbs(f)] = 'FILE' + break + + case 'ENOENT': // not terribly unusual + case 'ELOOP': + case 'ENAMETOOLONG': + case 'UNKNOWN': + this.cache[this._makeAbs(f)] = false + break + + default: // some unusual error. Treat as failure. + this.cache[this._makeAbs(f)] = false + if (this.strict) { + this.emit('error', er) + // If the error is handled, then we abort + // if not, we threw out of here + this.abort() + } + if (!this.silent) + console.error('glob error', er) + break + } + + return cb() +} + +Glob.prototype._processGlobStar = function (prefix, read, abs, remain, index, inGlobStar, cb) { + var self = this + this._readdir(abs, inGlobStar, function (er, entries) { + self._processGlobStar2(prefix, read, abs, remain, index, inGlobStar, entries, cb) + }) +} + + +Glob.prototype._processGlobStar2 = function (prefix, read, abs, remain, index, inGlobStar, entries, cb) { + //console.error('pgs2', prefix, remain[0], entries) + + // no entries means not a dir, so it can never have matches + // foo.txt/** doesn't match foo.txt + if (!entries) + return cb() + + // test without the globstar, and with every child both below + // and replacing the globstar. + var remainWithoutGlobStar = remain.slice(1) + var gspref = prefix ? [ prefix ] : [] + var noGlobStar = gspref.concat(remainWithoutGlobStar) + + // the noGlobStar pattern exits the inGlobStar state + this._process(noGlobStar, index, false, cb) + + var isSym = this.symlinks[abs] + var len = entries.length + + // If it's a symlink, and we're in a globstar, then stop + if (isSym && inGlobStar) + return cb() + + for (var i = 0; i < len; i++) { + var e = entries[i] + if (e.charAt(0) === '.' && !this.dot) + continue + + // these two cases enter the inGlobStar state + var instead = gspref.concat(entries[i], remainWithoutGlobStar) + this._process(instead, index, true, cb) + + var below = gspref.concat(entries[i], remain) + this._process(below, index, true, cb) + } + + cb() +} + +Glob.prototype._processSimple = function (prefix, index, cb) { + // XXX review this. Shouldn't it be doing the mounting etc + // before doing stat? kinda weird? + var self = this + this._stat(prefix, function (er, exists) { + self._processSimple2(prefix, index, er, exists, cb) + }) +} +Glob.prototype._processSimple2 = function (prefix, index, er, exists, cb) { + + //console.error('ps2', prefix, exists) + + if (!this.matches[index]) + this.matches[index] = Object.create(null) + + // If it doesn't exist, then just mark the lack of results + if (!exists) + return cb() + + if (prefix && isAbsolute(prefix) && !this.nomount) { + var trail = /[\/\\]$/.test(prefix) + if (prefix.charAt(0) === '/') { + prefix = path.join(this.root, prefix) + } else { + prefix = path.resolve(this.root, prefix) + if (trail) + prefix += '/' + } + } + + if (process.platform === 'win32') + prefix = prefix.replace(/\\/g, '/') + + // Mark this as a match + this._emitMatch(index, prefix) + cb() +} + +// Returns either 'DIR', 'FILE', or false +Glob.prototype._stat = function (f, cb) { + var abs = this._makeAbs(f) + var needDir = f.slice(-1) === '/' + + if (f.length > this.maxLength) + return cb() + + if (!this.stat && ownProp(this.cache, abs)) { + var c = this.cache[abs] + + if (Array.isArray(c)) + c = 'DIR' + + // It exists, but maybe not how we need it + if (!needDir || c === 'DIR') + return cb(null, c) + + if (needDir && c === 'FILE') + return cb() + + // otherwise we have to stat, because maybe c=true + // if we know it exists, but not what it is. + } + + var exists + var stat = this.statCache[abs] + if (stat !== undefined) { + if (stat === false) + return cb(null, stat) + else { + var type = stat.isDirectory() ? 'DIR' : 'FILE' + if (needDir && type === 'FILE') + return cb() + else + return cb(null, type, stat) + } + } + + var self = this + var statcb = inflight('stat\0' + abs, lstatcb_) + if (statcb) + fs.lstat(abs, statcb) + + function lstatcb_ (er, lstat) { + if (lstat && lstat.isSymbolicLink()) { + // If it's a symlink, then treat it as the target, unless + // the target does not exist, then treat it as a file. + return fs.stat(abs, function (er, stat) { + if (er) + self._stat2(f, abs, null, lstat, cb) + else + self._stat2(f, abs, er, stat, cb) + }) + } else { + self._stat2(f, abs, er, lstat, cb) + } + } +} + +Glob.prototype._stat2 = function (f, abs, er, stat, cb) { + if (er) { + this.statCache[abs] = false + return cb() + } + + var needDir = f.slice(-1) === '/' + this.statCache[abs] = stat + + if (abs.slice(-1) === '/' && !stat.isDirectory()) + return cb(null, false, stat) + + var c = stat.isDirectory() ? 'DIR' : 'FILE' + this.cache[abs] = this.cache[abs] || c + + if (needDir && c !== 'DIR') + return cb() + + return cb(null, c, stat) +} + +}).call(this,require('_process')) +},{"./common.js":15,"./sync.js":17,"_process":24,"assert":9,"events":14,"fs":12,"inflight":18,"inherits":19,"minimatch":20,"once":21,"path":22,"path-is-absolute":23,"util":28}],17:[function(require,module,exports){ +(function (process){ +module.exports = globSync +globSync.GlobSync = GlobSync + +var fs = require('fs') +var minimatch = require('minimatch') +var Minimatch = minimatch.Minimatch +var Glob = require('./glob.js').Glob +var util = require('util') +var path = require('path') +var assert = require('assert') +var isAbsolute = require('path-is-absolute') +var common = require('./common.js') +var alphasort = common.alphasort +var alphasorti = common.alphasorti +var setopts = common.setopts +var ownProp = common.ownProp +var childrenIgnored = common.childrenIgnored + +function globSync (pattern, options) { + if (typeof options === 'function' || arguments.length === 3) + throw new TypeError('callback provided to sync glob\n'+ + 'See: https://github.com/isaacs/node-glob/issues/167') + + return new GlobSync(pattern, options).found +} + +function GlobSync (pattern, options) { + if (!pattern) + throw new Error('must provide pattern') + + if (typeof options === 'function' || arguments.length === 3) + throw new TypeError('callback provided to sync glob\n'+ + 'See: https://github.com/isaacs/node-glob/issues/167') + + if (!(this instanceof GlobSync)) + return new GlobSync(pattern, options) + + setopts(this, pattern, options) + + if (this.noprocess) + return this + + var n = this.minimatch.set.length + this.matches = new Array(n) + for (var i = 0; i < n; i ++) { + this._process(this.minimatch.set[i], i, false) + } + this._finish() +} + +GlobSync.prototype._finish = function () { + assert(this instanceof GlobSync) + if (this.realpath) { + var self = this + this.matches.forEach(function (matchset, index) { + var set = self.matches[index] = Object.create(null) + for (var p in matchset) { + try { + p = self._makeAbs(p) + var real = fs.realpathSync(p, self.realpathCache) + set[real] = true + } catch (er) { + if (er.syscall === 'stat') + set[self._makeAbs(p)] = true + else + throw er + } + } + }) + } + common.finish(this) +} + + +GlobSync.prototype._process = function (pattern, index, inGlobStar) { + assert(this instanceof GlobSync) + + // Get the first [n] parts of pattern that are all strings. + var n = 0 + while (typeof pattern[n] === 'string') { + n ++ + } + // now n is the index of the first one that is *not* a string. + + // See if there's anything else + var prefix + switch (n) { + // if not, then this is rather simple + case pattern.length: + this._processSimple(pattern.join('/'), index) + return + + case 0: + // pattern *starts* with some non-trivial item. + // going to readdir(cwd), but not include the prefix in matches. + prefix = null + break + + default: + // pattern has some string bits in the front. + // whatever it starts with, whether that's 'absolute' like /foo/bar, + // or 'relative' like '../baz' + prefix = pattern.slice(0, n).join('/') + break + } + + var remain = pattern.slice(n) + + // get the list of entries. + var read + if (prefix === null) + read = '.' + else if (isAbsolute(prefix) || isAbsolute(pattern.join('/'))) { + if (!prefix || !isAbsolute(prefix)) + prefix = '/' + prefix + read = prefix + } else + read = prefix + + var abs = this._makeAbs(read) + + //if ignored, skip processing + if (childrenIgnored(this, read)) + return + + var isGlobStar = remain[0] === minimatch.GLOBSTAR + if (isGlobStar) + this._processGlobStar(prefix, read, abs, remain, index, inGlobStar) + else + this._processReaddir(prefix, read, abs, remain, index, inGlobStar) +} + + +GlobSync.prototype._processReaddir = function (prefix, read, abs, remain, index, inGlobStar) { + var entries = this._readdir(abs, inGlobStar) + + // if the abs isn't a dir, then nothing can match! + if (!entries) + return + + // It will only match dot entries if it starts with a dot, or if + // dot is set. Stuff like @(.foo|.bar) isn't allowed. + var pn = remain[0] + var negate = !!this.minimatch.negate + var rawGlob = pn._glob + var dotOk = this.dot || rawGlob.charAt(0) === '.' + + var matchedEntries = [] + for (var i = 0; i < entries.length; i++) { + var e = entries[i] + if (e.charAt(0) !== '.' || dotOk) { + var m + if (negate && !prefix) { + m = !e.match(pn) + } else { + m = e.match(pn) + } + if (m) + matchedEntries.push(e) + } + } + + var len = matchedEntries.length + // If there are no matched entries, then nothing matches. + if (len === 0) + return + + // if this is the last remaining pattern bit, then no need for + // an additional stat *unless* the user has specified mark or + // stat explicitly. We know they exist, since readdir returned + // them. + + if (remain.length === 1 && !this.mark && !this.stat) { + if (!this.matches[index]) + this.matches[index] = Object.create(null) + + for (var i = 0; i < len; i ++) { + var e = matchedEntries[i] + if (prefix) { + if (prefix.slice(-1) !== '/') + e = prefix + '/' + e + else + e = prefix + e + } + + if (e.charAt(0) === '/' && !this.nomount) { + e = path.join(this.root, e) + } + this.matches[index][e] = true + } + // This was the last one, and no stats were needed + return + } + + // now test all matched entries as stand-ins for that part + // of the pattern. + remain.shift() + for (var i = 0; i < len; i ++) { + var e = matchedEntries[i] + var newPattern + if (prefix) + newPattern = [prefix, e] + else + newPattern = [e] + this._process(newPattern.concat(remain), index, inGlobStar) + } +} + + +GlobSync.prototype._emitMatch = function (index, e) { + var abs = this._makeAbs(e) + if (this.mark) + e = this._mark(e) + + if (this.matches[index][e]) + return + + if (this.nodir) { + var c = this.cache[this._makeAbs(e)] + if (c === 'DIR' || Array.isArray(c)) + return + } + + this.matches[index][e] = true + if (this.stat) + this._stat(e) +} + + +GlobSync.prototype._readdirInGlobStar = function (abs) { + // follow all symlinked directories forever + // just proceed as if this is a non-globstar situation + if (this.follow) + return this._readdir(abs, false) + + var entries + var lstat + var stat + try { + lstat = fs.lstatSync(abs) + } catch (er) { + // lstat failed, doesn't exist + return null + } + + var isSym = lstat.isSymbolicLink() + this.symlinks[abs] = isSym + + // If it's not a symlink or a dir, then it's definitely a regular file. + // don't bother doing a readdir in that case. + if (!isSym && !lstat.isDirectory()) + this.cache[abs] = 'FILE' + else + entries = this._readdir(abs, false) + + return entries +} + +GlobSync.prototype._readdir = function (abs, inGlobStar) { + var entries + + if (inGlobStar && !ownProp(this.symlinks, abs)) + return this._readdirInGlobStar(abs) + + if (ownProp(this.cache, abs)) { + var c = this.cache[abs] + if (!c || c === 'FILE') + return null + + if (Array.isArray(c)) + return c + } + + try { + return this._readdirEntries(abs, fs.readdirSync(abs)) + } catch (er) { + this._readdirError(abs, er) + return null + } +} + +GlobSync.prototype._readdirEntries = function (abs, entries) { + // if we haven't asked to stat everything, then just + // assume that everything in there exists, so we can avoid + // having to stat it a second time. + if (!this.mark && !this.stat) { + for (var i = 0; i < entries.length; i ++) { + var e = entries[i] + if (abs === '/') + e = abs + e + else + e = abs + '/' + e + this.cache[e] = true + } + } + + this.cache[abs] = entries + + // mark and cache dir-ness + return entries +} + +GlobSync.prototype._readdirError = function (f, er) { + // handle errors, and cache the information + switch (er.code) { + case 'ENOTSUP': // https://github.com/isaacs/node-glob/issues/205 + case 'ENOTDIR': // totally normal. means it *does* exist. + this.cache[this._makeAbs(f)] = 'FILE' + break + + case 'ENOENT': // not terribly unusual + case 'ELOOP': + case 'ENAMETOOLONG': + case 'UNKNOWN': + this.cache[this._makeAbs(f)] = false + break + + default: // some unusual error. Treat as failure. + this.cache[this._makeAbs(f)] = false + if (this.strict) + throw er + if (!this.silent) + console.error('glob error', er) + break + } +} + +GlobSync.prototype._processGlobStar = function (prefix, read, abs, remain, index, inGlobStar) { + + var entries = this._readdir(abs, inGlobStar) + + // no entries means not a dir, so it can never have matches + // foo.txt/** doesn't match foo.txt + if (!entries) + return + + // test without the globstar, and with every child both below + // and replacing the globstar. + var remainWithoutGlobStar = remain.slice(1) + var gspref = prefix ? [ prefix ] : [] + var noGlobStar = gspref.concat(remainWithoutGlobStar) + + // the noGlobStar pattern exits the inGlobStar state + this._process(noGlobStar, index, false) + + var len = entries.length + var isSym = this.symlinks[abs] + + // If it's a symlink, and we're in a globstar, then stop + if (isSym && inGlobStar) + return + + for (var i = 0; i < len; i++) { + var e = entries[i] + if (e.charAt(0) === '.' && !this.dot) + continue + + // these two cases enter the inGlobStar state + var instead = gspref.concat(entries[i], remainWithoutGlobStar) + this._process(instead, index, true) + + var below = gspref.concat(entries[i], remain) + this._process(below, index, true) + } +} + +GlobSync.prototype._processSimple = function (prefix, index) { + // XXX review this. Shouldn't it be doing the mounting etc + // before doing stat? kinda weird? + var exists = this._stat(prefix) + + if (!this.matches[index]) + this.matches[index] = Object.create(null) + + // If it doesn't exist, then just mark the lack of results + if (!exists) + return + + if (prefix && isAbsolute(prefix) && !this.nomount) { + var trail = /[\/\\]$/.test(prefix) + if (prefix.charAt(0) === '/') { + prefix = path.join(this.root, prefix) + } else { + prefix = path.resolve(this.root, prefix) + if (trail) + prefix += '/' + } + } + + if (process.platform === 'win32') + prefix = prefix.replace(/\\/g, '/') + + // Mark this as a match + this.matches[index][prefix] = true +} + +// Returns either 'DIR', 'FILE', or false +GlobSync.prototype._stat = function (f) { + var abs = this._makeAbs(f) + var needDir = f.slice(-1) === '/' + + if (f.length > this.maxLength) + return false + + if (!this.stat && ownProp(this.cache, abs)) { + var c = this.cache[abs] + + if (Array.isArray(c)) + c = 'DIR' + + // It exists, but maybe not how we need it + if (!needDir || c === 'DIR') + return c + + if (needDir && c === 'FILE') + return false + + // otherwise we have to stat, because maybe c=true + // if we know it exists, but not what it is. + } + + var exists + var stat = this.statCache[abs] + if (!stat) { + var lstat + try { + lstat = fs.lstatSync(abs) + } catch (er) { + return false + } + + if (lstat.isSymbolicLink()) { + try { + stat = fs.statSync(abs) + } catch (er) { + stat = lstat + } + } else { + stat = lstat + } + } + + this.statCache[abs] = stat + + var c = stat.isDirectory() ? 'DIR' : 'FILE' + this.cache[abs] = this.cache[abs] || c + + if (needDir && c !== 'DIR') + return false + + return c +} + +GlobSync.prototype._mark = function (p) { + return common.mark(this, p) +} + +GlobSync.prototype._makeAbs = function (f) { + return common.makeAbs(this, f) +} + +}).call(this,require('_process')) +},{"./common.js":15,"./glob.js":16,"_process":24,"assert":9,"fs":12,"minimatch":20,"path":22,"path-is-absolute":23,"util":28}],18:[function(require,module,exports){ +(function (process){ +var wrappy = require('wrappy') +var reqs = Object.create(null) +var once = require('once') + +module.exports = wrappy(inflight) + +function inflight (key, cb) { + if (reqs[key]) { + reqs[key].push(cb) + return null + } else { + reqs[key] = [cb] + return makeres(key) + } +} + +function makeres (key) { + return once(function RES () { + var cbs = reqs[key] + var len = cbs.length + var args = slice(arguments) + + // XXX It's somewhat ambiguous whether a new callback added in this + // pass should be queued for later execution if something in the + // list of callbacks throws, or if it should just be discarded. + // However, it's such an edge case that it hardly matters, and either + // choice is likely as surprising as the other. + // As it happens, we do go ahead and schedule it for later execution. + try { + for (var i = 0; i < len; i++) { + cbs[i].apply(null, args) + } + } finally { + if (cbs.length > len) { + // added more in the interim. + // de-zalgo, just in case, but don't call again. + cbs.splice(0, len) + process.nextTick(function () { + RES.apply(null, args) + }) + } else { + delete reqs[key] + } + } + }) +} + +function slice (args) { + var length = args.length + var array = [] + + for (var i = 0; i < length; i++) array[i] = args[i] + return array +} + +}).call(this,require('_process')) +},{"_process":24,"once":21,"wrappy":29}],19:[function(require,module,exports){ +if (typeof Object.create === 'function') { + // implementation from standard node.js 'util' module + module.exports = function inherits(ctor, superCtor) { + ctor.super_ = superCtor + ctor.prototype = Object.create(superCtor.prototype, { + constructor: { + value: ctor, + enumerable: false, + writable: true, + configurable: true + } + }); + }; +} else { + // old school shim for old browsers + module.exports = function inherits(ctor, superCtor) { + ctor.super_ = superCtor + var TempCtor = function () {} + TempCtor.prototype = superCtor.prototype + ctor.prototype = new TempCtor() + ctor.prototype.constructor = ctor + } +} + +},{}],20:[function(require,module,exports){ +module.exports = minimatch +minimatch.Minimatch = Minimatch + +var path = { sep: '/' } +try { + path = require('path') +} catch (er) {} + +var GLOBSTAR = minimatch.GLOBSTAR = Minimatch.GLOBSTAR = {} +var expand = require('brace-expansion') + +var plTypes = { + '!': { open: '(?:(?!(?:', close: '))[^/]*?)'}, + '?': { open: '(?:', close: ')?' }, + '+': { open: '(?:', close: ')+' }, + '*': { open: '(?:', close: ')*' }, + '@': { open: '(?:', close: ')' } +} + +// any single thing other than / +// don't need to escape / when using new RegExp() +var qmark = '[^/]' + +// * => any number of characters +var star = qmark + '*?' + +// ** when dots are allowed. Anything goes, except .. and . +// not (^ or / followed by one or two dots followed by $ or /), +// followed by anything, any number of times. +var twoStarDot = '(?:(?!(?:\\\/|^)(?:\\.{1,2})($|\\\/)).)*?' + +// not a ^ or / followed by a dot, +// followed by anything, any number of times. +var twoStarNoDot = '(?:(?!(?:\\\/|^)\\.).)*?' + +// characters that need to be escaped in RegExp. +var reSpecials = charSet('().*{}+?[]^$\\!') + +// "abc" -> { a:true, b:true, c:true } +function charSet (s) { + return s.split('').reduce(function (set, c) { + set[c] = true + return set + }, {}) +} + +// normalizes slashes. +var slashSplit = /\/+/ + +minimatch.filter = filter +function filter (pattern, options) { + options = options || {} + return function (p, i, list) { + return minimatch(p, pattern, options) + } +} + +function ext (a, b) { + a = a || {} + b = b || {} + var t = {} + Object.keys(b).forEach(function (k) { + t[k] = b[k] + }) + Object.keys(a).forEach(function (k) { + t[k] = a[k] + }) + return t +} + +minimatch.defaults = function (def) { + if (!def || !Object.keys(def).length) return minimatch + + var orig = minimatch + + var m = function minimatch (p, pattern, options) { + return orig.minimatch(p, pattern, ext(def, options)) + } + + m.Minimatch = function Minimatch (pattern, options) { + return new orig.Minimatch(pattern, ext(def, options)) + } + + return m +} + +Minimatch.defaults = function (def) { + if (!def || !Object.keys(def).length) return Minimatch + return minimatch.defaults(def).Minimatch +} + +function minimatch (p, pattern, options) { + if (typeof pattern !== 'string') { + throw new TypeError('glob pattern string required') + } + + if (!options) options = {} + + // shortcut: comments match nothing. + if (!options.nocomment && pattern.charAt(0) === '#') { + return false + } + + // "" only matches "" + if (pattern.trim() === '') return p === '' + + return new Minimatch(pattern, options).match(p) +} + +function Minimatch (pattern, options) { + if (!(this instanceof Minimatch)) { + return new Minimatch(pattern, options) + } + + if (typeof pattern !== 'string') { + throw new TypeError('glob pattern string required') + } + + if (!options) options = {} + pattern = pattern.trim() + + // windows support: need to use /, not \ + if (path.sep !== '/') { + pattern = pattern.split(path.sep).join('/') + } + + this.options = options + this.set = [] + this.pattern = pattern + this.regexp = null + this.negate = false + this.comment = false + this.empty = false + + // make the set of regexps etc. + this.make() +} + +Minimatch.prototype.debug = function () {} + +Minimatch.prototype.make = make +function make () { + // don't do it more than once. + if (this._made) return + + var pattern = this.pattern + var options = this.options + + // empty patterns and comments match nothing. + if (!options.nocomment && pattern.charAt(0) === '#') { + this.comment = true + return + } + if (!pattern) { + this.empty = true + return + } + + // step 1: figure out negation, etc. + this.parseNegate() + + // step 2: expand braces + var set = this.globSet = this.braceExpand() + + if (options.debug) this.debug = console.error + + this.debug(this.pattern, set) + + // step 3: now we have a set, so turn each one into a series of path-portion + // matching patterns. + // These will be regexps, except in the case of "**", which is + // set to the GLOBSTAR object for globstar behavior, + // and will not contain any / characters + set = this.globParts = set.map(function (s) { + return s.split(slashSplit) + }) + + this.debug(this.pattern, set) + + // glob --> regexps + set = set.map(function (s, si, set) { + return s.map(this.parse, this) + }, this) + + this.debug(this.pattern, set) + + // filter out everything that didn't compile properly. + set = set.filter(function (s) { + return s.indexOf(false) === -1 + }) + + this.debug(this.pattern, set) + + this.set = set +} + +Minimatch.prototype.parseNegate = parseNegate +function parseNegate () { + var pattern = this.pattern + var negate = false + var options = this.options + var negateOffset = 0 + + if (options.nonegate) return + + for (var i = 0, l = pattern.length + ; i < l && pattern.charAt(i) === '!' + ; i++) { + negate = !negate + negateOffset++ + } + + if (negateOffset) this.pattern = pattern.substr(negateOffset) + this.negate = negate +} + +// Brace expansion: +// a{b,c}d -> abd acd +// a{b,}c -> abc ac +// a{0..3}d -> a0d a1d a2d a3d +// a{b,c{d,e}f}g -> abg acdfg acefg +// a{b,c}d{e,f}g -> abdeg acdeg abdeg abdfg +// +// Invalid sets are not expanded. +// a{2..}b -> a{2..}b +// a{b}c -> a{b}c +minimatch.braceExpand = function (pattern, options) { + return braceExpand(pattern, options) +} + +Minimatch.prototype.braceExpand = braceExpand + +function braceExpand (pattern, options) { + if (!options) { + if (this instanceof Minimatch) { + options = this.options + } else { + options = {} + } + } + + pattern = typeof pattern === 'undefined' + ? this.pattern : pattern + + if (typeof pattern === 'undefined') { + throw new TypeError('undefined pattern') + } + + if (options.nobrace || + !pattern.match(/\{.*\}/)) { + // shortcut. no need to expand. + return [pattern] + } + + return expand(pattern) +} + +// parse a component of the expanded set. +// At this point, no pattern may contain "/" in it +// so we're going to return a 2d array, where each entry is the full +// pattern, split on '/', and then turned into a regular expression. +// A regexp is made at the end which joins each array with an +// escaped /, and another full one which joins each regexp with |. +// +// Following the lead of Bash 4.1, note that "**" only has special meaning +// when it is the *only* thing in a path portion. Otherwise, any series +// of * is equivalent to a single *. Globstar behavior is enabled by +// default, and can be disabled by setting options.noglobstar. +Minimatch.prototype.parse = parse +var SUBPARSE = {} +function parse (pattern, isSub) { + if (pattern.length > 1024 * 64) { + throw new TypeError('pattern is too long') + } + + var options = this.options + + // shortcuts + if (!options.noglobstar && pattern === '**') return GLOBSTAR + if (pattern === '') return '' + + var re = '' + var hasMagic = !!options.nocase + var escaping = false + // ? => one single character + var patternListStack = [] + var negativeLists = [] + var stateChar + var inClass = false + var reClassStart = -1 + var classStart = -1 + // . and .. never match anything that doesn't start with ., + // even when options.dot is set. + var patternStart = pattern.charAt(0) === '.' ? '' // anything + // not (start or / followed by . or .. followed by / or end) + : options.dot ? '(?!(?:^|\\\/)\\.{1,2}(?:$|\\\/))' + : '(?!\\.)' + var self = this + + function clearStateChar () { + if (stateChar) { + // we had some state-tracking character + // that wasn't consumed by this pass. + switch (stateChar) { + case '*': + re += star + hasMagic = true + break + case '?': + re += qmark + hasMagic = true + break + default: + re += '\\' + stateChar + break + } + self.debug('clearStateChar %j %j', stateChar, re) + stateChar = false + } + } + + for (var i = 0, len = pattern.length, c + ; (i < len) && (c = pattern.charAt(i)) + ; i++) { + this.debug('%s\t%s %s %j', pattern, i, re, c) + + // skip over any that are escaped. + if (escaping && reSpecials[c]) { + re += '\\' + c + escaping = false + continue + } + + switch (c) { + case '/': + // completely not allowed, even escaped. + // Should already be path-split by now. + return false + + case '\\': + clearStateChar() + escaping = true + continue + + // the various stateChar values + // for the "extglob" stuff. + case '?': + case '*': + case '+': + case '@': + case '!': + this.debug('%s\t%s %s %j <-- stateChar', pattern, i, re, c) + + // all of those are literals inside a class, except that + // the glob [!a] means [^a] in regexp + if (inClass) { + this.debug(' in class') + if (c === '!' && i === classStart + 1) c = '^' + re += c + continue + } + + // if we already have a stateChar, then it means + // that there was something like ** or +? in there. + // Handle the stateChar, then proceed with this one. + self.debug('call clearStateChar %j', stateChar) + clearStateChar() + stateChar = c + // if extglob is disabled, then +(asdf|foo) isn't a thing. + // just clear the statechar *now*, rather than even diving into + // the patternList stuff. + if (options.noext) clearStateChar() + continue + + case '(': + if (inClass) { + re += '(' + continue + } + + if (!stateChar) { + re += '\\(' + continue + } + + patternListStack.push({ + type: stateChar, + start: i - 1, + reStart: re.length, + open: plTypes[stateChar].open, + close: plTypes[stateChar].close + }) + // negation is (?:(?!js)[^/]*) + re += stateChar === '!' ? '(?:(?!(?:' : '(?:' + this.debug('plType %j %j', stateChar, re) + stateChar = false + continue + + case ')': + if (inClass || !patternListStack.length) { + re += '\\)' + continue + } + + clearStateChar() + hasMagic = true + var pl = patternListStack.pop() + // negation is (?:(?!js)[^/]*) + // The others are (?:) + re += pl.close + if (pl.type === '!') { + negativeLists.push(pl) + } + pl.reEnd = re.length + continue + + case '|': + if (inClass || !patternListStack.length || escaping) { + re += '\\|' + escaping = false + continue + } + + clearStateChar() + re += '|' + continue + + // these are mostly the same in regexp and glob + case '[': + // swallow any state-tracking char before the [ + clearStateChar() + + if (inClass) { + re += '\\' + c + continue + } + + inClass = true + classStart = i + reClassStart = re.length + re += c + continue + + case ']': + // a right bracket shall lose its special + // meaning and represent itself in + // a bracket expression if it occurs + // first in the list. -- POSIX.2 2.8.3.2 + if (i === classStart + 1 || !inClass) { + re += '\\' + c + escaping = false + continue + } + + // handle the case where we left a class open. + // "[z-a]" is valid, equivalent to "\[z-a\]" + if (inClass) { + // split where the last [ was, make sure we don't have + // an invalid re. if so, re-walk the contents of the + // would-be class to re-translate any characters that + // were passed through as-is + // TODO: It would probably be faster to determine this + // without a try/catch and a new RegExp, but it's tricky + // to do safely. For now, this is safe and works. + var cs = pattern.substring(classStart + 1, i) + try { + RegExp('[' + cs + ']') + } catch (er) { + // not a valid class! + var sp = this.parse(cs, SUBPARSE) + re = re.substr(0, reClassStart) + '\\[' + sp[0] + '\\]' + hasMagic = hasMagic || sp[1] + inClass = false + continue + } + } + + // finish up the class. + hasMagic = true + inClass = false + re += c + continue + + default: + // swallow any state char that wasn't consumed + clearStateChar() + + if (escaping) { + // no need + escaping = false + } else if (reSpecials[c] + && !(c === '^' && inClass)) { + re += '\\' + } + + re += c + + } // switch + } // for + + // handle the case where we left a class open. + // "[abc" is valid, equivalent to "\[abc" + if (inClass) { + // split where the last [ was, and escape it + // this is a huge pita. We now have to re-walk + // the contents of the would-be class to re-translate + // any characters that were passed through as-is + cs = pattern.substr(classStart + 1) + sp = this.parse(cs, SUBPARSE) + re = re.substr(0, reClassStart) + '\\[' + sp[0] + hasMagic = hasMagic || sp[1] + } + + // handle the case where we had a +( thing at the *end* + // of the pattern. + // each pattern list stack adds 3 chars, and we need to go through + // and escape any | chars that were passed through as-is for the regexp. + // Go through and escape them, taking care not to double-escape any + // | chars that were already escaped. + for (pl = patternListStack.pop(); pl; pl = patternListStack.pop()) { + var tail = re.slice(pl.reStart + pl.open.length) + this.debug('setting tail', re, pl) + // maybe some even number of \, then maybe 1 \, followed by a | + tail = tail.replace(/((?:\\{2}){0,64})(\\?)\|/g, function (_, $1, $2) { + if (!$2) { + // the | isn't already escaped, so escape it. + $2 = '\\' + } + + // need to escape all those slashes *again*, without escaping the + // one that we need for escaping the | character. As it works out, + // escaping an even number of slashes can be done by simply repeating + // it exactly after itself. That's why this trick works. + // + // I am sorry that you have to see this. + return $1 + $1 + $2 + '|' + }) + + this.debug('tail=%j\n %s', tail, tail, pl, re) + var t = pl.type === '*' ? star + : pl.type === '?' ? qmark + : '\\' + pl.type + + hasMagic = true + re = re.slice(0, pl.reStart) + t + '\\(' + tail + } + + // handle trailing things that only matter at the very end. + clearStateChar() + if (escaping) { + // trailing \\ + re += '\\\\' + } + + // only need to apply the nodot start if the re starts with + // something that could conceivably capture a dot + var addPatternStart = false + switch (re.charAt(0)) { + case '.': + case '[': + case '(': addPatternStart = true + } + + // Hack to work around lack of negative lookbehind in JS + // A pattern like: *.!(x).!(y|z) needs to ensure that a name + // like 'a.xyz.yz' doesn't match. So, the first negative + // lookahead, has to look ALL the way ahead, to the end of + // the pattern. + for (var n = negativeLists.length - 1; n > -1; n--) { + var nl = negativeLists[n] + + var nlBefore = re.slice(0, nl.reStart) + var nlFirst = re.slice(nl.reStart, nl.reEnd - 8) + var nlLast = re.slice(nl.reEnd - 8, nl.reEnd) + var nlAfter = re.slice(nl.reEnd) + + nlLast += nlAfter + + // Handle nested stuff like *(*.js|!(*.json)), where open parens + // mean that we should *not* include the ) in the bit that is considered + // "after" the negated section. + var openParensBefore = nlBefore.split('(').length - 1 + var cleanAfter = nlAfter + for (i = 0; i < openParensBefore; i++) { + cleanAfter = cleanAfter.replace(/\)[+*?]?/, '') + } + nlAfter = cleanAfter + + var dollar = '' + if (nlAfter === '' && isSub !== SUBPARSE) { + dollar = '$' + } + var newRe = nlBefore + nlFirst + nlAfter + dollar + nlLast + re = newRe + } + + // if the re is not "" at this point, then we need to make sure + // it doesn't match against an empty path part. + // Otherwise a/* will match a/, which it should not. + if (re !== '' && hasMagic) { + re = '(?=.)' + re + } + + if (addPatternStart) { + re = patternStart + re + } + + // parsing just a piece of a larger pattern. + if (isSub === SUBPARSE) { + return [re, hasMagic] + } + + // skip the regexp for non-magical patterns + // unescape anything in it, though, so that it'll be + // an exact match against a file etc. + if (!hasMagic) { + return globUnescape(pattern) + } + + var flags = options.nocase ? 'i' : '' + try { + var regExp = new RegExp('^' + re + '$', flags) + } catch (er) { + // If it was an invalid regular expression, then it can't match + // anything. This trick looks for a character after the end of + // the string, which is of course impossible, except in multi-line + // mode, but it's not a /m regex. + return new RegExp('$.') + } + + regExp._glob = pattern + regExp._src = re + + return regExp +} + +minimatch.makeRe = function (pattern, options) { + return new Minimatch(pattern, options || {}).makeRe() +} + +Minimatch.prototype.makeRe = makeRe +function makeRe () { + if (this.regexp || this.regexp === false) return this.regexp + + // at this point, this.set is a 2d array of partial + // pattern strings, or "**". + // + // It's better to use .match(). This function shouldn't + // be used, really, but it's pretty convenient sometimes, + // when you just want to work with a regex. + var set = this.set + + if (!set.length) { + this.regexp = false + return this.regexp + } + var options = this.options + + var twoStar = options.noglobstar ? star + : options.dot ? twoStarDot + : twoStarNoDot + var flags = options.nocase ? 'i' : '' + + var re = set.map(function (pattern) { + return pattern.map(function (p) { + return (p === GLOBSTAR) ? twoStar + : (typeof p === 'string') ? regExpEscape(p) + : p._src + }).join('\\\/') + }).join('|') + + // must match entire pattern + // ending in a * or ** will make it less strict. + re = '^(?:' + re + ')$' + + // can match anything, as long as it's not this. + if (this.negate) re = '^(?!' + re + ').*$' + + try { + this.regexp = new RegExp(re, flags) + } catch (ex) { + this.regexp = false + } + return this.regexp +} + +minimatch.match = function (list, pattern, options) { + options = options || {} + var mm = new Minimatch(pattern, options) + list = list.filter(function (f) { + return mm.match(f) + }) + if (mm.options.nonull && !list.length) { + list.push(pattern) + } + return list +} + +Minimatch.prototype.match = match +function match (f, partial) { + this.debug('match', f, this.pattern) + // short-circuit in the case of busted things. + // comments, etc. + if (this.comment) return false + if (this.empty) return f === '' + + if (f === '/' && partial) return true + + var options = this.options + + // windows: need to use /, not \ + if (path.sep !== '/') { + f = f.split(path.sep).join('/') + } + + // treat the test path as a set of pathparts. + f = f.split(slashSplit) + this.debug(this.pattern, 'split', f) + + // just ONE of the pattern sets in this.set needs to match + // in order for it to be valid. If negating, then just one + // match means that we have failed. + // Either way, return on the first hit. + + var set = this.set + this.debug(this.pattern, 'set', set) + + // Find the basename of the path by looking for the last non-empty segment + var filename + var i + for (i = f.length - 1; i >= 0; i--) { + filename = f[i] + if (filename) break + } + + for (i = 0; i < set.length; i++) { + var pattern = set[i] + var file = f + if (options.matchBase && pattern.length === 1) { + file = [filename] + } + var hit = this.matchOne(file, pattern, partial) + if (hit) { + if (options.flipNegate) return true + return !this.negate + } + } + + // didn't get any hits. this is success if it's a negative + // pattern, failure otherwise. + if (options.flipNegate) return false + return this.negate +} + +// set partial to true to test if, for example, +// "/a/b" matches the start of "/*/b/*/d" +// Partial means, if you run out of file before you run +// out of pattern, then that's fine, as long as all +// the parts match. +Minimatch.prototype.matchOne = function (file, pattern, partial) { + var options = this.options + + this.debug('matchOne', + { 'this': this, file: file, pattern: pattern }) + + this.debug('matchOne', file.length, pattern.length) + + for (var fi = 0, + pi = 0, + fl = file.length, + pl = pattern.length + ; (fi < fl) && (pi < pl) + ; fi++, pi++) { + this.debug('matchOne loop') + var p = pattern[pi] + var f = file[fi] + + this.debug(pattern, p, f) + + // should be impossible. + // some invalid regexp stuff in the set. + if (p === false) return false + + if (p === GLOBSTAR) { + this.debug('GLOBSTAR', [pattern, p, f]) + + // "**" + // a/**/b/**/c would match the following: + // a/b/x/y/z/c + // a/x/y/z/b/c + // a/b/x/b/x/c + // a/b/c + // To do this, take the rest of the pattern after + // the **, and see if it would match the file remainder. + // If so, return success. + // If not, the ** "swallows" a segment, and try again. + // This is recursively awful. + // + // a/**/b/**/c matching a/b/x/y/z/c + // - a matches a + // - doublestar + // - matchOne(b/x/y/z/c, b/**/c) + // - b matches b + // - doublestar + // - matchOne(x/y/z/c, c) -> no + // - matchOne(y/z/c, c) -> no + // - matchOne(z/c, c) -> no + // - matchOne(c, c) yes, hit + var fr = fi + var pr = pi + 1 + if (pr === pl) { + this.debug('** at the end') + // a ** at the end will just swallow the rest. + // We have found a match. + // however, it will not swallow /.x, unless + // options.dot is set. + // . and .. are *never* matched by **, for explosively + // exponential reasons. + for (; fi < fl; fi++) { + if (file[fi] === '.' || file[fi] === '..' || + (!options.dot && file[fi].charAt(0) === '.')) return false + } + return true + } + + // ok, let's see if we can swallow whatever we can. + while (fr < fl) { + var swallowee = file[fr] + + this.debug('\nglobstar while', file, fr, pattern, pr, swallowee) + + // XXX remove this slice. Just pass the start index. + if (this.matchOne(file.slice(fr), pattern.slice(pr), partial)) { + this.debug('globstar found match!', fr, fl, swallowee) + // found a match. + return true + } else { + // can't swallow "." or ".." ever. + // can only swallow ".foo" when explicitly asked. + if (swallowee === '.' || swallowee === '..' || + (!options.dot && swallowee.charAt(0) === '.')) { + this.debug('dot detected!', file, fr, pattern, pr) + break + } + + // ** swallows a segment, and continue. + this.debug('globstar swallow a segment, and continue') + fr++ + } + } + + // no match was found. + // However, in partial mode, we can't say this is necessarily over. + // If there's more *pattern* left, then + if (partial) { + // ran out of file + this.debug('\n>>> no match, partial?', file, fr, pattern, pr) + if (fr === fl) return true + } + return false + } + + // something other than ** + // non-magic patterns just have to match exactly + // patterns with magic have been turned into regexps. + var hit + if (typeof p === 'string') { + if (options.nocase) { + hit = f.toLowerCase() === p.toLowerCase() + } else { + hit = f === p + } + this.debug('string match', p, f, hit) + } else { + hit = f.match(p) + this.debug('pattern match', p, f, hit) + } + + if (!hit) return false + } + + // Note: ending in / means that we'll get a final "" + // at the end of the pattern. This can only match a + // corresponding "" at the end of the file. + // If the file ends in /, then it can only match a + // a pattern that ends in /, unless the pattern just + // doesn't have any more for it. But, a/b/ should *not* + // match "a/b/*", even though "" matches against the + // [^/]*? pattern, except in partial mode, where it might + // simply not be reached yet. + // However, a/b/ should still satisfy a/* + + // now either we fell off the end of the pattern, or we're done. + if (fi === fl && pi === pl) { + // ran out of pattern and filename at the same time. + // an exact hit! + return true + } else if (fi === fl) { + // ran out of file, but still had pattern left. + // this is ok if we're doing the match as part of + // a glob fs traversal. + return partial + } else if (pi === pl) { + // ran out of pattern, still have file left. + // this is only acceptable if we're on the very last + // empty segment of a file with a trailing slash. + // a/* should match a/b/ + var emptyFileEnd = (fi === fl - 1) && (file[fi] === '') + return emptyFileEnd + } + + // should be unreachable. + throw new Error('wtf?') +} + +// replace stuff like \* with * +function globUnescape (s) { + return s.replace(/\\(.)/g, '$1') +} + +function regExpEscape (s) { + return s.replace(/[-[\]{}()*+?.,\\^$|#\s]/g, '\\$&') +} + +},{"brace-expansion":11,"path":22}],21:[function(require,module,exports){ +var wrappy = require('wrappy') +module.exports = wrappy(once) +module.exports.strict = wrappy(onceStrict) + +once.proto = once(function () { + Object.defineProperty(Function.prototype, 'once', { + value: function () { + return once(this) + }, + configurable: true + }) + + Object.defineProperty(Function.prototype, 'onceStrict', { + value: function () { + return onceStrict(this) + }, + configurable: true + }) +}) + +function once (fn) { + var f = function () { + if (f.called) return f.value + f.called = true + return f.value = fn.apply(this, arguments) + } + f.called = false + return f +} + +function onceStrict (fn) { + var f = function () { + if (f.called) + throw new Error(f.onceError) + f.called = true + return f.value = fn.apply(this, arguments) + } + var name = fn.name || 'Function wrapped with `once`' + f.onceError = name + " shouldn't be called more than once" + f.called = false + return f +} + +},{"wrappy":29}],22:[function(require,module,exports){ +(function (process){ +// Copyright Joyent, Inc. and other Node contributors. +// +// Permission is hereby granted, free of charge, to any person obtaining a +// copy of this software and associated documentation files (the +// "Software"), to deal in the Software without restriction, including +// without limitation the rights to use, copy, modify, merge, publish, +// distribute, sublicense, and/or sell copies of the Software, and to permit +// persons to whom the Software is furnished to do so, subject to the +// following conditions: +// +// The above copyright notice and this permission notice shall be included +// in all copies or substantial portions of the Software. +// +// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS +// OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF +// MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN +// NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, +// DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR +// OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE +// USE OR OTHER DEALINGS IN THE SOFTWARE. + +// resolves . and .. elements in a path array with directory names there +// must be no slashes, empty elements, or device names (c:\) in the array +// (so also no leading and trailing slashes - it does not distinguish +// relative and absolute paths) +function normalizeArray(parts, allowAboveRoot) { + // if the path tries to go above the root, `up` ends up > 0 + var up = 0; + for (var i = parts.length - 1; i >= 0; i--) { + var last = parts[i]; + if (last === '.') { + parts.splice(i, 1); + } else if (last === '..') { + parts.splice(i, 1); + up++; + } else if (up) { + parts.splice(i, 1); + up--; + } + } + + // if the path is allowed to go above the root, restore leading ..s + if (allowAboveRoot) { + for (; up--; up) { + parts.unshift('..'); + } + } + + return parts; +} + +// Split a filename into [root, dir, basename, ext], unix version +// 'root' is just a slash, or nothing. +var splitPathRe = + /^(\/?|)([\s\S]*?)((?:\.{1,2}|[^\/]+?|)(\.[^.\/]*|))(?:[\/]*)$/; +var splitPath = function(filename) { + return splitPathRe.exec(filename).slice(1); +}; + +// path.resolve([from ...], to) +// posix version +exports.resolve = function() { + var resolvedPath = '', + resolvedAbsolute = false; + + for (var i = arguments.length - 1; i >= -1 && !resolvedAbsolute; i--) { + var path = (i >= 0) ? arguments[i] : process.cwd(); + + // Skip empty and invalid entries + if (typeof path !== 'string') { + throw new TypeError('Arguments to path.resolve must be strings'); + } else if (!path) { + continue; + } + + resolvedPath = path + '/' + resolvedPath; + resolvedAbsolute = path.charAt(0) === '/'; + } + + // At this point the path should be resolved to a full absolute path, but + // handle relative paths to be safe (might happen when process.cwd() fails) + + // Normalize the path + resolvedPath = normalizeArray(filter(resolvedPath.split('/'), function(p) { + return !!p; + }), !resolvedAbsolute).join('/'); + + return ((resolvedAbsolute ? '/' : '') + resolvedPath) || '.'; +}; + +// path.normalize(path) +// posix version +exports.normalize = function(path) { + var isAbsolute = exports.isAbsolute(path), + trailingSlash = substr(path, -1) === '/'; + + // Normalize the path + path = normalizeArray(filter(path.split('/'), function(p) { + return !!p; + }), !isAbsolute).join('/'); + + if (!path && !isAbsolute) { + path = '.'; + } + if (path && trailingSlash) { + path += '/'; + } + + return (isAbsolute ? '/' : '') + path; +}; + +// posix version +exports.isAbsolute = function(path) { + return path.charAt(0) === '/'; +}; + +// posix version +exports.join = function() { + var paths = Array.prototype.slice.call(arguments, 0); + return exports.normalize(filter(paths, function(p, index) { + if (typeof p !== 'string') { + throw new TypeError('Arguments to path.join must be strings'); + } + return p; + }).join('/')); +}; + + +// path.relative(from, to) +// posix version +exports.relative = function(from, to) { + from = exports.resolve(from).substr(1); + to = exports.resolve(to).substr(1); + + function trim(arr) { + var start = 0; + for (; start < arr.length; start++) { + if (arr[start] !== '') break; + } + + var end = arr.length - 1; + for (; end >= 0; end--) { + if (arr[end] !== '') break; + } + + if (start > end) return []; + return arr.slice(start, end - start + 1); + } + + var fromParts = trim(from.split('/')); + var toParts = trim(to.split('/')); + + var length = Math.min(fromParts.length, toParts.length); + var samePartsLength = length; + for (var i = 0; i < length; i++) { + if (fromParts[i] !== toParts[i]) { + samePartsLength = i; + break; + } + } + + var outputParts = []; + for (var i = samePartsLength; i < fromParts.length; i++) { + outputParts.push('..'); + } + + outputParts = outputParts.concat(toParts.slice(samePartsLength)); + + return outputParts.join('/'); +}; + +exports.sep = '/'; +exports.delimiter = ':'; + +exports.dirname = function(path) { + var result = splitPath(path), + root = result[0], + dir = result[1]; + + if (!root && !dir) { + // No dirname whatsoever + return '.'; + } + + if (dir) { + // It has a dirname, strip trailing slash + dir = dir.substr(0, dir.length - 1); + } + + return root + dir; +}; + + +exports.basename = function(path, ext) { + var f = splitPath(path)[2]; + // TODO: make this comparison case-insensitive on windows? + if (ext && f.substr(-1 * ext.length) === ext) { + f = f.substr(0, f.length - ext.length); + } + return f; +}; + + +exports.extname = function(path) { + return splitPath(path)[3]; +}; + +function filter (xs, f) { + if (xs.filter) return xs.filter(f); + var res = []; + for (var i = 0; i < xs.length; i++) { + if (f(xs[i], i, xs)) res.push(xs[i]); + } + return res; +} + +// String.prototype.substr - negative index don't work in IE8 +var substr = 'ab'.substr(-1) === 'b' + ? function (str, start, len) { return str.substr(start, len) } + : function (str, start, len) { + if (start < 0) start = str.length + start; + return str.substr(start, len); + } +; + +}).call(this,require('_process')) +},{"_process":24}],23:[function(require,module,exports){ +(function (process){ +'use strict'; + +function posix(path) { + return path.charAt(0) === '/'; +} + +function win32(path) { + // https://github.com/nodejs/node/blob/b3fcc245fb25539909ef1d5eaa01dbf92e168633/lib/path.js#L56 + var splitDeviceRe = /^([a-zA-Z]:|[\\\/]{2}[^\\\/]+[\\\/]+[^\\\/]+)?([\\\/])?([\s\S]*?)$/; + var result = splitDeviceRe.exec(path); + var device = result[1] || ''; + var isUnc = Boolean(device && device.charAt(1) !== ':'); + + // UNC paths are always absolute + return Boolean(result[2] || isUnc); +} + +module.exports = process.platform === 'win32' ? win32 : posix; +module.exports.posix = posix; +module.exports.win32 = win32; + +}).call(this,require('_process')) +},{"_process":24}],24:[function(require,module,exports){ +// shim for using process in browser +var process = module.exports = {}; + +// cached from whatever global is present so that test runners that stub it +// don't break things. But we need to wrap it in a try catch in case it is +// wrapped in strict mode code which doesn't define any globals. It's inside a +// function because try/catches deoptimize in certain engines. + +var cachedSetTimeout; +var cachedClearTimeout; + +function defaultSetTimout() { + throw new Error('setTimeout has not been defined'); +} +function defaultClearTimeout () { + throw new Error('clearTimeout has not been defined'); +} +(function () { + try { + if (typeof setTimeout === 'function') { + cachedSetTimeout = setTimeout; + } else { + cachedSetTimeout = defaultSetTimout; + } + } catch (e) { + cachedSetTimeout = defaultSetTimout; + } + try { + if (typeof clearTimeout === 'function') { + cachedClearTimeout = clearTimeout; + } else { + cachedClearTimeout = defaultClearTimeout; + } + } catch (e) { + cachedClearTimeout = defaultClearTimeout; + } +} ()) +function runTimeout(fun) { + if (cachedSetTimeout === setTimeout) { + //normal enviroments in sane situations + return setTimeout(fun, 0); + } + // if setTimeout wasn't available but was latter defined + if ((cachedSetTimeout === defaultSetTimout || !cachedSetTimeout) && setTimeout) { + cachedSetTimeout = setTimeout; + return setTimeout(fun, 0); + } + try { + // when when somebody has screwed with setTimeout but no I.E. maddness + return cachedSetTimeout(fun, 0); + } catch(e){ + try { + // When we are in I.E. but the script has been evaled so I.E. doesn't trust the global object when called normally + return cachedSetTimeout.call(null, fun, 0); + } catch(e){ + // same as above but when it's a version of I.E. that must have the global object for 'this', hopfully our context correct otherwise it will throw a global error + return cachedSetTimeout.call(this, fun, 0); + } + } + + +} +function runClearTimeout(marker) { + if (cachedClearTimeout === clearTimeout) { + //normal enviroments in sane situations + return clearTimeout(marker); + } + // if clearTimeout wasn't available but was latter defined + if ((cachedClearTimeout === defaultClearTimeout || !cachedClearTimeout) && clearTimeout) { + cachedClearTimeout = clearTimeout; + return clearTimeout(marker); + } + try { + // when when somebody has screwed with setTimeout but no I.E. maddness + return cachedClearTimeout(marker); + } catch (e){ + try { + // When we are in I.E. but the script has been evaled so I.E. doesn't trust the global object when called normally + return cachedClearTimeout.call(null, marker); + } catch (e){ + // same as above but when it's a version of I.E. that must have the global object for 'this', hopfully our context correct otherwise it will throw a global error. + // Some versions of I.E. have different rules for clearTimeout vs setTimeout + return cachedClearTimeout.call(this, marker); + } + } + + + +} +var queue = []; +var draining = false; +var currentQueue; +var queueIndex = -1; + +function cleanUpNextTick() { + if (!draining || !currentQueue) { + return; + } + draining = false; + if (currentQueue.length) { + queue = currentQueue.concat(queue); + } else { + queueIndex = -1; + } + if (queue.length) { + drainQueue(); + } +} + +function drainQueue() { + if (draining) { + return; + } + var timeout = runTimeout(cleanUpNextTick); + draining = true; + + var len = queue.length; + while(len) { + currentQueue = queue; + queue = []; + while (++queueIndex < len) { + if (currentQueue) { + currentQueue[queueIndex].run(); + } + } + queueIndex = -1; + len = queue.length; + } + currentQueue = null; + draining = false; + runClearTimeout(timeout); +} + +process.nextTick = function (fun) { + var args = new Array(arguments.length - 1); + if (arguments.length > 1) { + for (var i = 1; i < arguments.length; i++) { + args[i - 1] = arguments[i]; + } + } + queue.push(new Item(fun, args)); + if (queue.length === 1 && !draining) { + runTimeout(drainQueue); + } +}; + +// v8 likes predictible objects +function Item(fun, array) { + this.fun = fun; + this.array = array; +} +Item.prototype.run = function () { + this.fun.apply(null, this.array); +}; +process.title = 'browser'; +process.browser = true; +process.env = {}; +process.argv = []; +process.version = ''; // empty string to avoid regexp issues +process.versions = {}; + +function noop() {} + +process.on = noop; +process.addListener = noop; +process.once = noop; +process.off = noop; +process.removeListener = noop; +process.removeAllListeners = noop; +process.emit = noop; +process.prependListener = noop; +process.prependOnceListener = noop; + +process.listeners = function (name) { return [] } + +process.binding = function (name) { + throw new Error('process.binding is not supported'); +}; + +process.cwd = function () { return '/' }; +process.chdir = function (dir) { + throw new Error('process.chdir is not supported'); +}; +process.umask = function() { return 0; }; + +},{}],25:[function(require,module,exports){ +// Underscore.js 1.8.3 +// http://underscorejs.org +// (c) 2009-2015 Jeremy Ashkenas, DocumentCloud and Investigative Reporters & Editors +// Underscore may be freely distributed under the MIT license. + +(function() { + + // Baseline setup + // -------------- + + // Establish the root object, `window` in the browser, or `exports` on the server. + var root = this; + + // Save the previous value of the `_` variable. + var previousUnderscore = root._; + + // Save bytes in the minified (but not gzipped) version: + var ArrayProto = Array.prototype, ObjProto = Object.prototype, FuncProto = Function.prototype; + + // Create quick reference variables for speed access to core prototypes. + var + push = ArrayProto.push, + slice = ArrayProto.slice, + toString = ObjProto.toString, + hasOwnProperty = ObjProto.hasOwnProperty; + + // All **ECMAScript 5** native function implementations that we hope to use + // are declared here. + var + nativeIsArray = Array.isArray, + nativeKeys = Object.keys, + nativeBind = FuncProto.bind, + nativeCreate = Object.create; + + // Naked function reference for surrogate-prototype-swapping. + var Ctor = function(){}; + + // Create a safe reference to the Underscore object for use below. + var _ = function(obj) { + if (obj instanceof _) return obj; + if (!(this instanceof _)) return new _(obj); + this._wrapped = obj; + }; + + // Export the Underscore object for **Node.js**, with + // backwards-compatibility for the old `require()` API. If we're in + // the browser, add `_` as a global object. + if (typeof exports !== 'undefined') { + if (typeof module !== 'undefined' && module.exports) { + exports = module.exports = _; + } + exports._ = _; + } else { + root._ = _; + } + + // Current version. + _.VERSION = '1.8.3'; + + // Internal function that returns an efficient (for current engines) version + // of the passed-in callback, to be repeatedly applied in other Underscore + // functions. + var optimizeCb = function(func, context, argCount) { + if (context === void 0) return func; + switch (argCount == null ? 3 : argCount) { + case 1: return function(value) { + return func.call(context, value); + }; + case 2: return function(value, other) { + return func.call(context, value, other); + }; + case 3: return function(value, index, collection) { + return func.call(context, value, index, collection); + }; + case 4: return function(accumulator, value, index, collection) { + return func.call(context, accumulator, value, index, collection); + }; + } + return function() { + return func.apply(context, arguments); + }; + }; + + // A mostly-internal function to generate callbacks that can be applied + // to each element in a collection, returning the desired result — either + // identity, an arbitrary callback, a property matcher, or a property accessor. + var cb = function(value, context, argCount) { + if (value == null) return _.identity; + if (_.isFunction(value)) return optimizeCb(value, context, argCount); + if (_.isObject(value)) return _.matcher(value); + return _.property(value); + }; + _.iteratee = function(value, context) { + return cb(value, context, Infinity); + }; + + // An internal function for creating assigner functions. + var createAssigner = function(keysFunc, undefinedOnly) { + return function(obj) { + var length = arguments.length; + if (length < 2 || obj == null) return obj; + for (var index = 1; index < length; index++) { + var source = arguments[index], + keys = keysFunc(source), + l = keys.length; + for (var i = 0; i < l; i++) { + var key = keys[i]; + if (!undefinedOnly || obj[key] === void 0) obj[key] = source[key]; + } + } + return obj; + }; + }; + + // An internal function for creating a new object that inherits from another. + var baseCreate = function(prototype) { + if (!_.isObject(prototype)) return {}; + if (nativeCreate) return nativeCreate(prototype); + Ctor.prototype = prototype; + var result = new Ctor; + Ctor.prototype = null; + return result; + }; + + var property = function(key) { + return function(obj) { + return obj == null ? void 0 : obj[key]; + }; + }; + + // Helper for collection methods to determine whether a collection + // should be iterated as an array or as an object + // Related: http://people.mozilla.org/~jorendorff/es6-draft.html#sec-tolength + // Avoids a very nasty iOS 8 JIT bug on ARM-64. #2094 + var MAX_ARRAY_INDEX = Math.pow(2, 53) - 1; + var getLength = property('length'); + var isArrayLike = function(collection) { + var length = getLength(collection); + return typeof length == 'number' && length >= 0 && length <= MAX_ARRAY_INDEX; + }; + + // Collection Functions + // -------------------- + + // The cornerstone, an `each` implementation, aka `forEach`. + // Handles raw objects in addition to array-likes. Treats all + // sparse array-likes as if they were dense. + _.each = _.forEach = function(obj, iteratee, context) { + iteratee = optimizeCb(iteratee, context); + var i, length; + if (isArrayLike(obj)) { + for (i = 0, length = obj.length; i < length; i++) { + iteratee(obj[i], i, obj); + } + } else { + var keys = _.keys(obj); + for (i = 0, length = keys.length; i < length; i++) { + iteratee(obj[keys[i]], keys[i], obj); + } + } + return obj; + }; + + // Return the results of applying the iteratee to each element. + _.map = _.collect = function(obj, iteratee, context) { + iteratee = cb(iteratee, context); + var keys = !isArrayLike(obj) && _.keys(obj), + length = (keys || obj).length, + results = Array(length); + for (var index = 0; index < length; index++) { + var currentKey = keys ? keys[index] : index; + results[index] = iteratee(obj[currentKey], currentKey, obj); + } + return results; + }; + + // Create a reducing function iterating left or right. + function createReduce(dir) { + // Optimized iterator function as using arguments.length + // in the main function will deoptimize the, see #1991. + function iterator(obj, iteratee, memo, keys, index, length) { + for (; index >= 0 && index < length; index += dir) { + var currentKey = keys ? keys[index] : index; + memo = iteratee(memo, obj[currentKey], currentKey, obj); + } + return memo; + } + + return function(obj, iteratee, memo, context) { + iteratee = optimizeCb(iteratee, context, 4); + var keys = !isArrayLike(obj) && _.keys(obj), + length = (keys || obj).length, + index = dir > 0 ? 0 : length - 1; + // Determine the initial value if none is provided. + if (arguments.length < 3) { + memo = obj[keys ? keys[index] : index]; + index += dir; + } + return iterator(obj, iteratee, memo, keys, index, length); + }; + } + + // **Reduce** builds up a single result from a list of values, aka `inject`, + // or `foldl`. + _.reduce = _.foldl = _.inject = createReduce(1); + + // The right-associative version of reduce, also known as `foldr`. + _.reduceRight = _.foldr = createReduce(-1); + + // Return the first value which passes a truth test. Aliased as `detect`. + _.find = _.detect = function(obj, predicate, context) { + var key; + if (isArrayLike(obj)) { + key = _.findIndex(obj, predicate, context); + } else { + key = _.findKey(obj, predicate, context); + } + if (key !== void 0 && key !== -1) return obj[key]; + }; + + // Return all the elements that pass a truth test. + // Aliased as `select`. + _.filter = _.select = function(obj, predicate, context) { + var results = []; + predicate = cb(predicate, context); + _.each(obj, function(value, index, list) { + if (predicate(value, index, list)) results.push(value); + }); + return results; + }; + + // Return all the elements for which a truth test fails. + _.reject = function(obj, predicate, context) { + return _.filter(obj, _.negate(cb(predicate)), context); + }; + + // Determine whether all of the elements match a truth test. + // Aliased as `all`. + _.every = _.all = function(obj, predicate, context) { + predicate = cb(predicate, context); + var keys = !isArrayLike(obj) && _.keys(obj), + length = (keys || obj).length; + for (var index = 0; index < length; index++) { + var currentKey = keys ? keys[index] : index; + if (!predicate(obj[currentKey], currentKey, obj)) return false; + } + return true; + }; + + // Determine if at least one element in the object matches a truth test. + // Aliased as `any`. + _.some = _.any = function(obj, predicate, context) { + predicate = cb(predicate, context); + var keys = !isArrayLike(obj) && _.keys(obj), + length = (keys || obj).length; + for (var index = 0; index < length; index++) { + var currentKey = keys ? keys[index] : index; + if (predicate(obj[currentKey], currentKey, obj)) return true; + } + return false; + }; + + // Determine if the array or object contains a given item (using `===`). + // Aliased as `includes` and `include`. + _.contains = _.includes = _.include = function(obj, item, fromIndex, guard) { + if (!isArrayLike(obj)) obj = _.values(obj); + if (typeof fromIndex != 'number' || guard) fromIndex = 0; + return _.indexOf(obj, item, fromIndex) >= 0; + }; + + // Invoke a method (with arguments) on every item in a collection. + _.invoke = function(obj, method) { + var args = slice.call(arguments, 2); + var isFunc = _.isFunction(method); + return _.map(obj, function(value) { + var func = isFunc ? method : value[method]; + return func == null ? func : func.apply(value, args); + }); + }; + + // Convenience version of a common use case of `map`: fetching a property. + _.pluck = function(obj, key) { + return _.map(obj, _.property(key)); + }; + + // Convenience version of a common use case of `filter`: selecting only objects + // containing specific `key:value` pairs. + _.where = function(obj, attrs) { + return _.filter(obj, _.matcher(attrs)); + }; + + // Convenience version of a common use case of `find`: getting the first object + // containing specific `key:value` pairs. + _.findWhere = function(obj, attrs) { + return _.find(obj, _.matcher(attrs)); + }; + + // Return the maximum element (or element-based computation). + _.max = function(obj, iteratee, context) { + var result = -Infinity, lastComputed = -Infinity, + value, computed; + if (iteratee == null && obj != null) { + obj = isArrayLike(obj) ? obj : _.values(obj); + for (var i = 0, length = obj.length; i < length; i++) { + value = obj[i]; + if (value > result) { + result = value; + } + } + } else { + iteratee = cb(iteratee, context); + _.each(obj, function(value, index, list) { + computed = iteratee(value, index, list); + if (computed > lastComputed || computed === -Infinity && result === -Infinity) { + result = value; + lastComputed = computed; + } + }); + } + return result; + }; + + // Return the minimum element (or element-based computation). + _.min = function(obj, iteratee, context) { + var result = Infinity, lastComputed = Infinity, + value, computed; + if (iteratee == null && obj != null) { + obj = isArrayLike(obj) ? obj : _.values(obj); + for (var i = 0, length = obj.length; i < length; i++) { + value = obj[i]; + if (value < result) { + result = value; + } + } + } else { + iteratee = cb(iteratee, context); + _.each(obj, function(value, index, list) { + computed = iteratee(value, index, list); + if (computed < lastComputed || computed === Infinity && result === Infinity) { + result = value; + lastComputed = computed; + } + }); + } + return result; + }; + + // Shuffle a collection, using the modern version of the + // [Fisher-Yates shuffle](http://en.wikipedia.org/wiki/Fisher–Yates_shuffle). + _.shuffle = function(obj) { + var set = isArrayLike(obj) ? obj : _.values(obj); + var length = set.length; + var shuffled = Array(length); + for (var index = 0, rand; index < length; index++) { + rand = _.random(0, index); + if (rand !== index) shuffled[index] = shuffled[rand]; + shuffled[rand] = set[index]; + } + return shuffled; + }; + + // Sample **n** random values from a collection. + // If **n** is not specified, returns a single random element. + // The internal `guard` argument allows it to work with `map`. + _.sample = function(obj, n, guard) { + if (n == null || guard) { + if (!isArrayLike(obj)) obj = _.values(obj); + return obj[_.random(obj.length - 1)]; + } + return _.shuffle(obj).slice(0, Math.max(0, n)); + }; + + // Sort the object's values by a criterion produced by an iteratee. + _.sortBy = function(obj, iteratee, context) { + iteratee = cb(iteratee, context); + return _.pluck(_.map(obj, function(value, index, list) { + return { + value: value, + index: index, + criteria: iteratee(value, index, list) + }; + }).sort(function(left, right) { + var a = left.criteria; + var b = right.criteria; + if (a !== b) { + if (a > b || a === void 0) return 1; + if (a < b || b === void 0) return -1; + } + return left.index - right.index; + }), 'value'); + }; + + // An internal function used for aggregate "group by" operations. + var group = function(behavior) { + return function(obj, iteratee, context) { + var result = {}; + iteratee = cb(iteratee, context); + _.each(obj, function(value, index) { + var key = iteratee(value, index, obj); + behavior(result, value, key); + }); + return result; + }; + }; + + // Groups the object's values by a criterion. Pass either a string attribute + // to group by, or a function that returns the criterion. + _.groupBy = group(function(result, value, key) { + if (_.has(result, key)) result[key].push(value); else result[key] = [value]; + }); + + // Indexes the object's values by a criterion, similar to `groupBy`, but for + // when you know that your index values will be unique. + _.indexBy = group(function(result, value, key) { + result[key] = value; + }); + + // Counts instances of an object that group by a certain criterion. Pass + // either a string attribute to count by, or a function that returns the + // criterion. + _.countBy = group(function(result, value, key) { + if (_.has(result, key)) result[key]++; else result[key] = 1; + }); + + // Safely create a real, live array from anything iterable. + _.toArray = function(obj) { + if (!obj) return []; + if (_.isArray(obj)) return slice.call(obj); + if (isArrayLike(obj)) return _.map(obj, _.identity); + return _.values(obj); + }; + + // Return the number of elements in an object. + _.size = function(obj) { + if (obj == null) return 0; + return isArrayLike(obj) ? obj.length : _.keys(obj).length; + }; + + // Split a collection into two arrays: one whose elements all satisfy the given + // predicate, and one whose elements all do not satisfy the predicate. + _.partition = function(obj, predicate, context) { + predicate = cb(predicate, context); + var pass = [], fail = []; + _.each(obj, function(value, key, obj) { + (predicate(value, key, obj) ? pass : fail).push(value); + }); + return [pass, fail]; + }; + + // Array Functions + // --------------- + + // Get the first element of an array. Passing **n** will return the first N + // values in the array. Aliased as `head` and `take`. The **guard** check + // allows it to work with `_.map`. + _.first = _.head = _.take = function(array, n, guard) { + if (array == null) return void 0; + if (n == null || guard) return array[0]; + return _.initial(array, array.length - n); + }; + + // Returns everything but the last entry of the array. Especially useful on + // the arguments object. Passing **n** will return all the values in + // the array, excluding the last N. + _.initial = function(array, n, guard) { + return slice.call(array, 0, Math.max(0, array.length - (n == null || guard ? 1 : n))); + }; + + // Get the last element of an array. Passing **n** will return the last N + // values in the array. + _.last = function(array, n, guard) { + if (array == null) return void 0; + if (n == null || guard) return array[array.length - 1]; + return _.rest(array, Math.max(0, array.length - n)); + }; + + // Returns everything but the first entry of the array. Aliased as `tail` and `drop`. + // Especially useful on the arguments object. Passing an **n** will return + // the rest N values in the array. + _.rest = _.tail = _.drop = function(array, n, guard) { + return slice.call(array, n == null || guard ? 1 : n); + }; + + // Trim out all falsy values from an array. + _.compact = function(array) { + return _.filter(array, _.identity); + }; + + // Internal implementation of a recursive `flatten` function. + var flatten = function(input, shallow, strict, startIndex) { + var output = [], idx = 0; + for (var i = startIndex || 0, length = getLength(input); i < length; i++) { + var value = input[i]; + if (isArrayLike(value) && (_.isArray(value) || _.isArguments(value))) { + //flatten current level of array or arguments object + if (!shallow) value = flatten(value, shallow, strict); + var j = 0, len = value.length; + output.length += len; + while (j < len) { + output[idx++] = value[j++]; + } + } else if (!strict) { + output[idx++] = value; + } + } + return output; + }; + + // Flatten out an array, either recursively (by default), or just one level. + _.flatten = function(array, shallow) { + return flatten(array, shallow, false); + }; + + // Return a version of the array that does not contain the specified value(s). + _.without = function(array) { + return _.difference(array, slice.call(arguments, 1)); + }; + + // Produce a duplicate-free version of the array. If the array has already + // been sorted, you have the option of using a faster algorithm. + // Aliased as `unique`. + _.uniq = _.unique = function(array, isSorted, iteratee, context) { + if (!_.isBoolean(isSorted)) { + context = iteratee; + iteratee = isSorted; + isSorted = false; + } + if (iteratee != null) iteratee = cb(iteratee, context); + var result = []; + var seen = []; + for (var i = 0, length = getLength(array); i < length; i++) { + var value = array[i], + computed = iteratee ? iteratee(value, i, array) : value; + if (isSorted) { + if (!i || seen !== computed) result.push(value); + seen = computed; + } else if (iteratee) { + if (!_.contains(seen, computed)) { + seen.push(computed); + result.push(value); + } + } else if (!_.contains(result, value)) { + result.push(value); + } + } + return result; + }; + + // Produce an array that contains the union: each distinct element from all of + // the passed-in arrays. + _.union = function() { + return _.uniq(flatten(arguments, true, true)); + }; + + // Produce an array that contains every item shared between all the + // passed-in arrays. + _.intersection = function(array) { + var result = []; + var argsLength = arguments.length; + for (var i = 0, length = getLength(array); i < length; i++) { + var item = array[i]; + if (_.contains(result, item)) continue; + for (var j = 1; j < argsLength; j++) { + if (!_.contains(arguments[j], item)) break; + } + if (j === argsLength) result.push(item); + } + return result; + }; + + // Take the difference between one array and a number of other arrays. + // Only the elements present in just the first array will remain. + _.difference = function(array) { + var rest = flatten(arguments, true, true, 1); + return _.filter(array, function(value){ + return !_.contains(rest, value); + }); + }; + + // Zip together multiple lists into a single array -- elements that share + // an index go together. + _.zip = function() { + return _.unzip(arguments); + }; + + // Complement of _.zip. Unzip accepts an array of arrays and groups + // each array's elements on shared indices + _.unzip = function(array) { + var length = array && _.max(array, getLength).length || 0; + var result = Array(length); + + for (var index = 0; index < length; index++) { + result[index] = _.pluck(array, index); + } + return result; + }; + + // Converts lists into objects. Pass either a single array of `[key, value]` + // pairs, or two parallel arrays of the same length -- one of keys, and one of + // the corresponding values. + _.object = function(list, values) { + var result = {}; + for (var i = 0, length = getLength(list); i < length; i++) { + if (values) { + result[list[i]] = values[i]; + } else { + result[list[i][0]] = list[i][1]; + } + } + return result; + }; + + // Generator function to create the findIndex and findLastIndex functions + function createPredicateIndexFinder(dir) { + return function(array, predicate, context) { + predicate = cb(predicate, context); + var length = getLength(array); + var index = dir > 0 ? 0 : length - 1; + for (; index >= 0 && index < length; index += dir) { + if (predicate(array[index], index, array)) return index; + } + return -1; + }; + } + + // Returns the first index on an array-like that passes a predicate test + _.findIndex = createPredicateIndexFinder(1); + _.findLastIndex = createPredicateIndexFinder(-1); + + // Use a comparator function to figure out the smallest index at which + // an object should be inserted so as to maintain order. Uses binary search. + _.sortedIndex = function(array, obj, iteratee, context) { + iteratee = cb(iteratee, context, 1); + var value = iteratee(obj); + var low = 0, high = getLength(array); + while (low < high) { + var mid = Math.floor((low + high) / 2); + if (iteratee(array[mid]) < value) low = mid + 1; else high = mid; + } + return low; + }; + + // Generator function to create the indexOf and lastIndexOf functions + function createIndexFinder(dir, predicateFind, sortedIndex) { + return function(array, item, idx) { + var i = 0, length = getLength(array); + if (typeof idx == 'number') { + if (dir > 0) { + i = idx >= 0 ? idx : Math.max(idx + length, i); + } else { + length = idx >= 0 ? Math.min(idx + 1, length) : idx + length + 1; + } + } else if (sortedIndex && idx && length) { + idx = sortedIndex(array, item); + return array[idx] === item ? idx : -1; + } + if (item !== item) { + idx = predicateFind(slice.call(array, i, length), _.isNaN); + return idx >= 0 ? idx + i : -1; + } + for (idx = dir > 0 ? i : length - 1; idx >= 0 && idx < length; idx += dir) { + if (array[idx] === item) return idx; + } + return -1; + }; + } + + // Return the position of the first occurrence of an item in an array, + // or -1 if the item is not included in the array. + // If the array is large and already in sort order, pass `true` + // for **isSorted** to use binary search. + _.indexOf = createIndexFinder(1, _.findIndex, _.sortedIndex); + _.lastIndexOf = createIndexFinder(-1, _.findLastIndex); + + // Generate an integer Array containing an arithmetic progression. A port of + // the native Python `range()` function. See + // [the Python documentation](http://docs.python.org/library/functions.html#range). + _.range = function(start, stop, step) { + if (stop == null) { + stop = start || 0; + start = 0; + } + step = step || 1; + + var length = Math.max(Math.ceil((stop - start) / step), 0); + var range = Array(length); + + for (var idx = 0; idx < length; idx++, start += step) { + range[idx] = start; + } + + return range; + }; + + // Function (ahem) Functions + // ------------------ + + // Determines whether to execute a function as a constructor + // or a normal function with the provided arguments + var executeBound = function(sourceFunc, boundFunc, context, callingContext, args) { + if (!(callingContext instanceof boundFunc)) return sourceFunc.apply(context, args); + var self = baseCreate(sourceFunc.prototype); + var result = sourceFunc.apply(self, args); + if (_.isObject(result)) return result; + return self; + }; + + // Create a function bound to a given object (assigning `this`, and arguments, + // optionally). Delegates to **ECMAScript 5**'s native `Function.bind` if + // available. + _.bind = function(func, context) { + if (nativeBind && func.bind === nativeBind) return nativeBind.apply(func, slice.call(arguments, 1)); + if (!_.isFunction(func)) throw new TypeError('Bind must be called on a function'); + var args = slice.call(arguments, 2); + var bound = function() { + return executeBound(func, bound, context, this, args.concat(slice.call(arguments))); + }; + return bound; + }; + + // Partially apply a function by creating a version that has had some of its + // arguments pre-filled, without changing its dynamic `this` context. _ acts + // as a placeholder, allowing any combination of arguments to be pre-filled. + _.partial = function(func) { + var boundArgs = slice.call(arguments, 1); + var bound = function() { + var position = 0, length = boundArgs.length; + var args = Array(length); + for (var i = 0; i < length; i++) { + args[i] = boundArgs[i] === _ ? arguments[position++] : boundArgs[i]; + } + while (position < arguments.length) args.push(arguments[position++]); + return executeBound(func, bound, this, this, args); + }; + return bound; + }; + + // Bind a number of an object's methods to that object. Remaining arguments + // are the method names to be bound. Useful for ensuring that all callbacks + // defined on an object belong to it. + _.bindAll = function(obj) { + var i, length = arguments.length, key; + if (length <= 1) throw new Error('bindAll must be passed function names'); + for (i = 1; i < length; i++) { + key = arguments[i]; + obj[key] = _.bind(obj[key], obj); + } + return obj; + }; + + // Memoize an expensive function by storing its results. + _.memoize = function(func, hasher) { + var memoize = function(key) { + var cache = memoize.cache; + var address = '' + (hasher ? hasher.apply(this, arguments) : key); + if (!_.has(cache, address)) cache[address] = func.apply(this, arguments); + return cache[address]; + }; + memoize.cache = {}; + return memoize; + }; + + // Delays a function for the given number of milliseconds, and then calls + // it with the arguments supplied. + _.delay = function(func, wait) { + var args = slice.call(arguments, 2); + return setTimeout(function(){ + return func.apply(null, args); + }, wait); + }; + + // Defers a function, scheduling it to run after the current call stack has + // cleared. + _.defer = _.partial(_.delay, _, 1); + + // Returns a function, that, when invoked, will only be triggered at most once + // during a given window of time. Normally, the throttled function will run + // as much as it can, without ever going more than once per `wait` duration; + // but if you'd like to disable the execution on the leading edge, pass + // `{leading: false}`. To disable execution on the trailing edge, ditto. + _.throttle = function(func, wait, options) { + var context, args, result; + var timeout = null; + var previous = 0; + if (!options) options = {}; + var later = function() { + previous = options.leading === false ? 0 : _.now(); + timeout = null; + result = func.apply(context, args); + if (!timeout) context = args = null; + }; + return function() { + var now = _.now(); + if (!previous && options.leading === false) previous = now; + var remaining = wait - (now - previous); + context = this; + args = arguments; + if (remaining <= 0 || remaining > wait) { + if (timeout) { + clearTimeout(timeout); + timeout = null; + } + previous = now; + result = func.apply(context, args); + if (!timeout) context = args = null; + } else if (!timeout && options.trailing !== false) { + timeout = setTimeout(later, remaining); + } + return result; + }; + }; + + // Returns a function, that, as long as it continues to be invoked, will not + // be triggered. The function will be called after it stops being called for + // N milliseconds. If `immediate` is passed, trigger the function on the + // leading edge, instead of the trailing. + _.debounce = function(func, wait, immediate) { + var timeout, args, context, timestamp, result; + + var later = function() { + var last = _.now() - timestamp; + + if (last < wait && last >= 0) { + timeout = setTimeout(later, wait - last); + } else { + timeout = null; + if (!immediate) { + result = func.apply(context, args); + if (!timeout) context = args = null; + } + } + }; + + return function() { + context = this; + args = arguments; + timestamp = _.now(); + var callNow = immediate && !timeout; + if (!timeout) timeout = setTimeout(later, wait); + if (callNow) { + result = func.apply(context, args); + context = args = null; + } + + return result; + }; + }; + + // Returns the first function passed as an argument to the second, + // allowing you to adjust arguments, run code before and after, and + // conditionally execute the original function. + _.wrap = function(func, wrapper) { + return _.partial(wrapper, func); + }; + + // Returns a negated version of the passed-in predicate. + _.negate = function(predicate) { + return function() { + return !predicate.apply(this, arguments); + }; + }; + + // Returns a function that is the composition of a list of functions, each + // consuming the return value of the function that follows. + _.compose = function() { + var args = arguments; + var start = args.length - 1; + return function() { + var i = start; + var result = args[start].apply(this, arguments); + while (i--) result = args[i].call(this, result); + return result; + }; + }; + + // Returns a function that will only be executed on and after the Nth call. + _.after = function(times, func) { + return function() { + if (--times < 1) { + return func.apply(this, arguments); + } + }; + }; + + // Returns a function that will only be executed up to (but not including) the Nth call. + _.before = function(times, func) { + var memo; + return function() { + if (--times > 0) { + memo = func.apply(this, arguments); + } + if (times <= 1) func = null; + return memo; + }; + }; + + // Returns a function that will be executed at most one time, no matter how + // often you call it. Useful for lazy initialization. + _.once = _.partial(_.before, 2); + + // Object Functions + // ---------------- + + // Keys in IE < 9 that won't be iterated by `for key in ...` and thus missed. + var hasEnumBug = !{toString: null}.propertyIsEnumerable('toString'); + var nonEnumerableProps = ['valueOf', 'isPrototypeOf', 'toString', + 'propertyIsEnumerable', 'hasOwnProperty', 'toLocaleString']; + + function collectNonEnumProps(obj, keys) { + var nonEnumIdx = nonEnumerableProps.length; + var constructor = obj.constructor; + var proto = (_.isFunction(constructor) && constructor.prototype) || ObjProto; + + // Constructor is a special case. + var prop = 'constructor'; + if (_.has(obj, prop) && !_.contains(keys, prop)) keys.push(prop); + + while (nonEnumIdx--) { + prop = nonEnumerableProps[nonEnumIdx]; + if (prop in obj && obj[prop] !== proto[prop] && !_.contains(keys, prop)) { + keys.push(prop); + } + } + } + + // Retrieve the names of an object's own properties. + // Delegates to **ECMAScript 5**'s native `Object.keys` + _.keys = function(obj) { + if (!_.isObject(obj)) return []; + if (nativeKeys) return nativeKeys(obj); + var keys = []; + for (var key in obj) if (_.has(obj, key)) keys.push(key); + // Ahem, IE < 9. + if (hasEnumBug) collectNonEnumProps(obj, keys); + return keys; + }; + + // Retrieve all the property names of an object. + _.allKeys = function(obj) { + if (!_.isObject(obj)) return []; + var keys = []; + for (var key in obj) keys.push(key); + // Ahem, IE < 9. + if (hasEnumBug) collectNonEnumProps(obj, keys); + return keys; + }; + + // Retrieve the values of an object's properties. + _.values = function(obj) { + var keys = _.keys(obj); + var length = keys.length; + var values = Array(length); + for (var i = 0; i < length; i++) { + values[i] = obj[keys[i]]; + } + return values; + }; + + // Returns the results of applying the iteratee to each element of the object + // In contrast to _.map it returns an object + _.mapObject = function(obj, iteratee, context) { + iteratee = cb(iteratee, context); + var keys = _.keys(obj), + length = keys.length, + results = {}, + currentKey; + for (var index = 0; index < length; index++) { + currentKey = keys[index]; + results[currentKey] = iteratee(obj[currentKey], currentKey, obj); + } + return results; + }; + + // Convert an object into a list of `[key, value]` pairs. + _.pairs = function(obj) { + var keys = _.keys(obj); + var length = keys.length; + var pairs = Array(length); + for (var i = 0; i < length; i++) { + pairs[i] = [keys[i], obj[keys[i]]]; + } + return pairs; + }; + + // Invert the keys and values of an object. The values must be serializable. + _.invert = function(obj) { + var result = {}; + var keys = _.keys(obj); + for (var i = 0, length = keys.length; i < length; i++) { + result[obj[keys[i]]] = keys[i]; + } + return result; + }; + + // Return a sorted list of the function names available on the object. + // Aliased as `methods` + _.functions = _.methods = function(obj) { + var names = []; + for (var key in obj) { + if (_.isFunction(obj[key])) names.push(key); + } + return names.sort(); + }; + + // Extend a given object with all the properties in passed-in object(s). + _.extend = createAssigner(_.allKeys); + + // Assigns a given object with all the own properties in the passed-in object(s) + // (https://developer.mozilla.org/docs/Web/JavaScript/Reference/Global_Objects/Object/assign) + _.extendOwn = _.assign = createAssigner(_.keys); + + // Returns the first key on an object that passes a predicate test + _.findKey = function(obj, predicate, context) { + predicate = cb(predicate, context); + var keys = _.keys(obj), key; + for (var i = 0, length = keys.length; i < length; i++) { + key = keys[i]; + if (predicate(obj[key], key, obj)) return key; + } + }; + + // Return a copy of the object only containing the whitelisted properties. + _.pick = function(object, oiteratee, context) { + var result = {}, obj = object, iteratee, keys; + if (obj == null) return result; + if (_.isFunction(oiteratee)) { + keys = _.allKeys(obj); + iteratee = optimizeCb(oiteratee, context); + } else { + keys = flatten(arguments, false, false, 1); + iteratee = function(value, key, obj) { return key in obj; }; + obj = Object(obj); + } + for (var i = 0, length = keys.length; i < length; i++) { + var key = keys[i]; + var value = obj[key]; + if (iteratee(value, key, obj)) result[key] = value; + } + return result; + }; + + // Return a copy of the object without the blacklisted properties. + _.omit = function(obj, iteratee, context) { + if (_.isFunction(iteratee)) { + iteratee = _.negate(iteratee); + } else { + var keys = _.map(flatten(arguments, false, false, 1), String); + iteratee = function(value, key) { + return !_.contains(keys, key); + }; + } + return _.pick(obj, iteratee, context); + }; + + // Fill in a given object with default properties. + _.defaults = createAssigner(_.allKeys, true); + + // Creates an object that inherits from the given prototype object. + // If additional properties are provided then they will be added to the + // created object. + _.create = function(prototype, props) { + var result = baseCreate(prototype); + if (props) _.extendOwn(result, props); + return result; + }; + + // Create a (shallow-cloned) duplicate of an object. + _.clone = function(obj) { + if (!_.isObject(obj)) return obj; + return _.isArray(obj) ? obj.slice() : _.extend({}, obj); + }; + + // Invokes interceptor with the obj, and then returns obj. + // The primary purpose of this method is to "tap into" a method chain, in + // order to perform operations on intermediate results within the chain. + _.tap = function(obj, interceptor) { + interceptor(obj); + return obj; + }; + + // Returns whether an object has a given set of `key:value` pairs. + _.isMatch = function(object, attrs) { + var keys = _.keys(attrs), length = keys.length; + if (object == null) return !length; + var obj = Object(object); + for (var i = 0; i < length; i++) { + var key = keys[i]; + if (attrs[key] !== obj[key] || !(key in obj)) return false; + } + return true; + }; + + + // Internal recursive comparison function for `isEqual`. + var eq = function(a, b, aStack, bStack) { + // Identical objects are equal. `0 === -0`, but they aren't identical. + // See the [Harmony `egal` proposal](http://wiki.ecmascript.org/doku.php?id=harmony:egal). + if (a === b) return a !== 0 || 1 / a === 1 / b; + // A strict comparison is necessary because `null == undefined`. + if (a == null || b == null) return a === b; + // Unwrap any wrapped objects. + if (a instanceof _) a = a._wrapped; + if (b instanceof _) b = b._wrapped; + // Compare `[[Class]]` names. + var className = toString.call(a); + if (className !== toString.call(b)) return false; + switch (className) { + // Strings, numbers, regular expressions, dates, and booleans are compared by value. + case '[object RegExp]': + // RegExps are coerced to strings for comparison (Note: '' + /a/i === '/a/i') + case '[object String]': + // Primitives and their corresponding object wrappers are equivalent; thus, `"5"` is + // equivalent to `new String("5")`. + return '' + a === '' + b; + case '[object Number]': + // `NaN`s are equivalent, but non-reflexive. + // Object(NaN) is equivalent to NaN + if (+a !== +a) return +b !== +b; + // An `egal` comparison is performed for other numeric values. + return +a === 0 ? 1 / +a === 1 / b : +a === +b; + case '[object Date]': + case '[object Boolean]': + // Coerce dates and booleans to numeric primitive values. Dates are compared by their + // millisecond representations. Note that invalid dates with millisecond representations + // of `NaN` are not equivalent. + return +a === +b; + } + + var areArrays = className === '[object Array]'; + if (!areArrays) { + if (typeof a != 'object' || typeof b != 'object') return false; + + // Objects with different constructors are not equivalent, but `Object`s or `Array`s + // from different frames are. + var aCtor = a.constructor, bCtor = b.constructor; + if (aCtor !== bCtor && !(_.isFunction(aCtor) && aCtor instanceof aCtor && + _.isFunction(bCtor) && bCtor instanceof bCtor) + && ('constructor' in a && 'constructor' in b)) { + return false; + } + } + // Assume equality for cyclic structures. The algorithm for detecting cyclic + // structures is adapted from ES 5.1 section 15.12.3, abstract operation `JO`. + + // Initializing stack of traversed objects. + // It's done here since we only need them for objects and arrays comparison. + aStack = aStack || []; + bStack = bStack || []; + var length = aStack.length; + while (length--) { + // Linear search. Performance is inversely proportional to the number of + // unique nested structures. + if (aStack[length] === a) return bStack[length] === b; + } + + // Add the first object to the stack of traversed objects. + aStack.push(a); + bStack.push(b); + + // Recursively compare objects and arrays. + if (areArrays) { + // Compare array lengths to determine if a deep comparison is necessary. + length = a.length; + if (length !== b.length) return false; + // Deep compare the contents, ignoring non-numeric properties. + while (length--) { + if (!eq(a[length], b[length], aStack, bStack)) return false; + } + } else { + // Deep compare objects. + var keys = _.keys(a), key; + length = keys.length; + // Ensure that both objects contain the same number of properties before comparing deep equality. + if (_.keys(b).length !== length) return false; + while (length--) { + // Deep compare each member + key = keys[length]; + if (!(_.has(b, key) && eq(a[key], b[key], aStack, bStack))) return false; + } + } + // Remove the first object from the stack of traversed objects. + aStack.pop(); + bStack.pop(); + return true; + }; + + // Perform a deep comparison to check if two objects are equal. + _.isEqual = function(a, b) { + return eq(a, b); + }; + + // Is a given array, string, or object empty? + // An "empty" object has no enumerable own-properties. + _.isEmpty = function(obj) { + if (obj == null) return true; + if (isArrayLike(obj) && (_.isArray(obj) || _.isString(obj) || _.isArguments(obj))) return obj.length === 0; + return _.keys(obj).length === 0; + }; + + // Is a given value a DOM element? + _.isElement = function(obj) { + return !!(obj && obj.nodeType === 1); + }; + + // Is a given value an array? + // Delegates to ECMA5's native Array.isArray + _.isArray = nativeIsArray || function(obj) { + return toString.call(obj) === '[object Array]'; + }; + + // Is a given variable an object? + _.isObject = function(obj) { + var type = typeof obj; + return type === 'function' || type === 'object' && !!obj; + }; + + // Add some isType methods: isArguments, isFunction, isString, isNumber, isDate, isRegExp, isError. + _.each(['Arguments', 'Function', 'String', 'Number', 'Date', 'RegExp', 'Error'], function(name) { + _['is' + name] = function(obj) { + return toString.call(obj) === '[object ' + name + ']'; + }; + }); + + // Define a fallback version of the method in browsers (ahem, IE < 9), where + // there isn't any inspectable "Arguments" type. + if (!_.isArguments(arguments)) { + _.isArguments = function(obj) { + return _.has(obj, 'callee'); + }; + } + + // Optimize `isFunction` if appropriate. Work around some typeof bugs in old v8, + // IE 11 (#1621), and in Safari 8 (#1929). + if (typeof /./ != 'function' && typeof Int8Array != 'object') { + _.isFunction = function(obj) { + return typeof obj == 'function' || false; + }; + } + + // Is a given object a finite number? + _.isFinite = function(obj) { + return isFinite(obj) && !isNaN(parseFloat(obj)); + }; + + // Is the given value `NaN`? (NaN is the only number which does not equal itself). + _.isNaN = function(obj) { + return _.isNumber(obj) && obj !== +obj; + }; + + // Is a given value a boolean? + _.isBoolean = function(obj) { + return obj === true || obj === false || toString.call(obj) === '[object Boolean]'; + }; + + // Is a given value equal to null? + _.isNull = function(obj) { + return obj === null; + }; + + // Is a given variable undefined? + _.isUndefined = function(obj) { + return obj === void 0; + }; + + // Shortcut function for checking if an object has a given property directly + // on itself (in other words, not on a prototype). + _.has = function(obj, key) { + return obj != null && hasOwnProperty.call(obj, key); + }; + + // Utility Functions + // ----------------- + + // Run Underscore.js in *noConflict* mode, returning the `_` variable to its + // previous owner. Returns a reference to the Underscore object. + _.noConflict = function() { + root._ = previousUnderscore; + return this; + }; + + // Keep the identity function around for default iteratees. + _.identity = function(value) { + return value; + }; + + // Predicate-generating functions. Often useful outside of Underscore. + _.constant = function(value) { + return function() { + return value; + }; + }; + + _.noop = function(){}; + + _.property = property; + + // Generates a function for a given object that returns a given property. + _.propertyOf = function(obj) { + return obj == null ? function(){} : function(key) { + return obj[key]; + }; + }; + + // Returns a predicate for checking whether an object has a given set of + // `key:value` pairs. + _.matcher = _.matches = function(attrs) { + attrs = _.extendOwn({}, attrs); + return function(obj) { + return _.isMatch(obj, attrs); + }; + }; + + // Run a function **n** times. + _.times = function(n, iteratee, context) { + var accum = Array(Math.max(0, n)); + iteratee = optimizeCb(iteratee, context, 1); + for (var i = 0; i < n; i++) accum[i] = iteratee(i); + return accum; + }; + + // Return a random integer between min and max (inclusive). + _.random = function(min, max) { + if (max == null) { + max = min; + min = 0; + } + return min + Math.floor(Math.random() * (max - min + 1)); + }; + + // A (possibly faster) way to get the current timestamp as an integer. + _.now = Date.now || function() { + return new Date().getTime(); + }; + + // List of HTML entities for escaping. + var escapeMap = { + '&': '&', + '<': '<', + '>': '>', + '"': '"', + "'": ''', + '`': '`' + }; + var unescapeMap = _.invert(escapeMap); + + // Functions for escaping and unescaping strings to/from HTML interpolation. + var createEscaper = function(map) { + var escaper = function(match) { + return map[match]; + }; + // Regexes for identifying a key that needs to be escaped + var source = '(?:' + _.keys(map).join('|') + ')'; + var testRegexp = RegExp(source); + var replaceRegexp = RegExp(source, 'g'); + return function(string) { + string = string == null ? '' : '' + string; + return testRegexp.test(string) ? string.replace(replaceRegexp, escaper) : string; + }; + }; + _.escape = createEscaper(escapeMap); + _.unescape = createEscaper(unescapeMap); + + // If the value of the named `property` is a function then invoke it with the + // `object` as context; otherwise, return it. + _.result = function(object, property, fallback) { + var value = object == null ? void 0 : object[property]; + if (value === void 0) { + value = fallback; + } + return _.isFunction(value) ? value.call(object) : value; + }; + + // Generate a unique integer id (unique within the entire client session). + // Useful for temporary DOM ids. + var idCounter = 0; + _.uniqueId = function(prefix) { + var id = ++idCounter + ''; + return prefix ? prefix + id : id; + }; + + // By default, Underscore uses ERB-style template delimiters, change the + // following template settings to use alternative delimiters. + _.templateSettings = { + evaluate : /<%([\s\S]+?)%>/g, + interpolate : /<%=([\s\S]+?)%>/g, + escape : /<%-([\s\S]+?)%>/g + }; + + // When customizing `templateSettings`, if you don't want to define an + // interpolation, evaluation or escaping regex, we need one that is + // guaranteed not to match. + var noMatch = /(.)^/; + + // Certain characters need to be escaped so that they can be put into a + // string literal. + var escapes = { + "'": "'", + '\\': '\\', + '\r': 'r', + '\n': 'n', + '\u2028': 'u2028', + '\u2029': 'u2029' + }; + + var escaper = /\\|'|\r|\n|\u2028|\u2029/g; + + var escapeChar = function(match) { + return '\\' + escapes[match]; + }; + + // JavaScript micro-templating, similar to John Resig's implementation. + // Underscore templating handles arbitrary delimiters, preserves whitespace, + // and correctly escapes quotes within interpolated code. + // NB: `oldSettings` only exists for backwards compatibility. + _.template = function(text, settings, oldSettings) { + if (!settings && oldSettings) settings = oldSettings; + settings = _.defaults({}, settings, _.templateSettings); + + // Combine delimiters into one regular expression via alternation. + var matcher = RegExp([ + (settings.escape || noMatch).source, + (settings.interpolate || noMatch).source, + (settings.evaluate || noMatch).source + ].join('|') + '|$', 'g'); + + // Compile the template source, escaping string literals appropriately. + var index = 0; + var source = "__p+='"; + text.replace(matcher, function(match, escape, interpolate, evaluate, offset) { + source += text.slice(index, offset).replace(escaper, escapeChar); + index = offset + match.length; + + if (escape) { + source += "'+\n((__t=(" + escape + "))==null?'':_.escape(__t))+\n'"; + } else if (interpolate) { + source += "'+\n((__t=(" + interpolate + "))==null?'':__t)+\n'"; + } else if (evaluate) { + source += "';\n" + evaluate + "\n__p+='"; + } + + // Adobe VMs need the match returned to produce the correct offest. + return match; + }); + source += "';\n"; + + // If a variable is not specified, place data values in local scope. + if (!settings.variable) source = 'with(obj||{}){\n' + source + '}\n'; + + source = "var __t,__p='',__j=Array.prototype.join," + + "print=function(){__p+=__j.call(arguments,'');};\n" + + source + 'return __p;\n'; + + try { + var render = new Function(settings.variable || 'obj', '_', source); + } catch (e) { + e.source = source; + throw e; + } + + var template = function(data) { + return render.call(this, data, _); + }; + + // Provide the compiled source as a convenience for precompilation. + var argument = settings.variable || 'obj'; + template.source = 'function(' + argument + '){\n' + source + '}'; + + return template; + }; + + // Add a "chain" function. Start chaining a wrapped Underscore object. + _.chain = function(obj) { + var instance = _(obj); + instance._chain = true; + return instance; + }; + + // OOP + // --------------- + // If Underscore is called as a function, it returns a wrapped object that + // can be used OO-style. This wrapper holds altered versions of all the + // underscore functions. Wrapped objects may be chained. + + // Helper function to continue chaining intermediate results. + var result = function(instance, obj) { + return instance._chain ? _(obj).chain() : obj; + }; + + // Add your own custom functions to the Underscore object. + _.mixin = function(obj) { + _.each(_.functions(obj), function(name) { + var func = _[name] = obj[name]; + _.prototype[name] = function() { + var args = [this._wrapped]; + push.apply(args, arguments); + return result(this, func.apply(_, args)); + }; + }); + }; + + // Add all of the Underscore functions to the wrapper object. + _.mixin(_); + + // Add all mutator Array functions to the wrapper. + _.each(['pop', 'push', 'reverse', 'shift', 'sort', 'splice', 'unshift'], function(name) { + var method = ArrayProto[name]; + _.prototype[name] = function() { + var obj = this._wrapped; + method.apply(obj, arguments); + if ((name === 'shift' || name === 'splice') && obj.length === 0) delete obj[0]; + return result(this, obj); + }; + }); + + // Add all accessor Array functions to the wrapper. + _.each(['concat', 'join', 'slice'], function(name) { + var method = ArrayProto[name]; + _.prototype[name] = function() { + return result(this, method.apply(this._wrapped, arguments)); + }; + }); + + // Extracts the result from a wrapped and chained object. + _.prototype.value = function() { + return this._wrapped; + }; + + // Provide unwrapping proxy for some methods used in engine operations + // such as arithmetic and JSON stringification. + _.prototype.valueOf = _.prototype.toJSON = _.prototype.value; + + _.prototype.toString = function() { + return '' + this._wrapped; + }; + + // AMD registration happens at the end for compatibility with AMD loaders + // that may not enforce next-turn semantics on modules. Even though general + // practice for AMD registration is to be anonymous, underscore registers + // as a named module because, like jQuery, it is a base library that is + // popular enough to be bundled in a third party lib, but not be part of + // an AMD load request. Those cases could generate an error when an + // anonymous define() is called outside of a loader request. + if (typeof define === 'function' && define.amd) { + define('underscore', [], function() { + return _; + }); + } +}.call(this)); + +},{}],26:[function(require,module,exports){ +arguments[4][19][0].apply(exports,arguments) +},{"dup":19}],27:[function(require,module,exports){ +module.exports = function isBuffer(arg) { + return arg && typeof arg === 'object' + && typeof arg.copy === 'function' + && typeof arg.fill === 'function' + && typeof arg.readUInt8 === 'function'; +} +},{}],28:[function(require,module,exports){ +(function (process,global){ +// Copyright Joyent, Inc. and other Node contributors. +// +// Permission is hereby granted, free of charge, to any person obtaining a +// copy of this software and associated documentation files (the +// "Software"), to deal in the Software without restriction, including +// without limitation the rights to use, copy, modify, merge, publish, +// distribute, sublicense, and/or sell copies of the Software, and to permit +// persons to whom the Software is furnished to do so, subject to the +// following conditions: +// +// The above copyright notice and this permission notice shall be included +// in all copies or substantial portions of the Software. +// +// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS +// OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF +// MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN +// NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, +// DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR +// OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE +// USE OR OTHER DEALINGS IN THE SOFTWARE. + +var formatRegExp = /%[sdj%]/g; +exports.format = function(f) { + if (!isString(f)) { + var objects = []; + for (var i = 0; i < arguments.length; i++) { + objects.push(inspect(arguments[i])); + } + return objects.join(' '); + } + + var i = 1; + var args = arguments; + var len = args.length; + var str = String(f).replace(formatRegExp, function(x) { + if (x === '%%') return '%'; + if (i >= len) return x; + switch (x) { + case '%s': return String(args[i++]); + case '%d': return Number(args[i++]); + case '%j': + try { + return JSON.stringify(args[i++]); + } catch (_) { + return '[Circular]'; + } + default: + return x; + } + }); + for (var x = args[i]; i < len; x = args[++i]) { + if (isNull(x) || !isObject(x)) { + str += ' ' + x; + } else { + str += ' ' + inspect(x); + } + } + return str; +}; + + +// Mark that a method should not be used. +// Returns a modified function which warns once by default. +// If --no-deprecation is set, then it is a no-op. +exports.deprecate = function(fn, msg) { + // Allow for deprecating things in the process of starting up. + if (isUndefined(global.process)) { + return function() { + return exports.deprecate(fn, msg).apply(this, arguments); + }; + } + + if (process.noDeprecation === true) { + return fn; + } + + var warned = false; + function deprecated() { + if (!warned) { + if (process.throwDeprecation) { + throw new Error(msg); + } else if (process.traceDeprecation) { + console.trace(msg); + } else { + console.error(msg); + } + warned = true; + } + return fn.apply(this, arguments); + } + + return deprecated; +}; + + +var debugs = {}; +var debugEnviron; +exports.debuglog = function(set) { + if (isUndefined(debugEnviron)) + debugEnviron = process.env.NODE_DEBUG || ''; + set = set.toUpperCase(); + if (!debugs[set]) { + if (new RegExp('\\b' + set + '\\b', 'i').test(debugEnviron)) { + var pid = process.pid; + debugs[set] = function() { + var msg = exports.format.apply(exports, arguments); + console.error('%s %d: %s', set, pid, msg); + }; + } else { + debugs[set] = function() {}; + } + } + return debugs[set]; +}; + + +/** + * Echos the value of a value. Trys to print the value out + * in the best way possible given the different types. + * + * @param {Object} obj The object to print out. + * @param {Object} opts Optional options object that alters the output. + */ +/* legacy: obj, showHidden, depth, colors*/ +function inspect(obj, opts) { + // default options + var ctx = { + seen: [], + stylize: stylizeNoColor + }; + // legacy... + if (arguments.length >= 3) ctx.depth = arguments[2]; + if (arguments.length >= 4) ctx.colors = arguments[3]; + if (isBoolean(opts)) { + // legacy... + ctx.showHidden = opts; + } else if (opts) { + // got an "options" object + exports._extend(ctx, opts); + } + // set default options + if (isUndefined(ctx.showHidden)) ctx.showHidden = false; + if (isUndefined(ctx.depth)) ctx.depth = 2; + if (isUndefined(ctx.colors)) ctx.colors = false; + if (isUndefined(ctx.customInspect)) ctx.customInspect = true; + if (ctx.colors) ctx.stylize = stylizeWithColor; + return formatValue(ctx, obj, ctx.depth); +} +exports.inspect = inspect; + + +// http://en.wikipedia.org/wiki/ANSI_escape_code#graphics +inspect.colors = { + 'bold' : [1, 22], + 'italic' : [3, 23], + 'underline' : [4, 24], + 'inverse' : [7, 27], + 'white' : [37, 39], + 'grey' : [90, 39], + 'black' : [30, 39], + 'blue' : [34, 39], + 'cyan' : [36, 39], + 'green' : [32, 39], + 'magenta' : [35, 39], + 'red' : [31, 39], + 'yellow' : [33, 39] +}; + +// Don't use 'blue' not visible on cmd.exe +inspect.styles = { + 'special': 'cyan', + 'number': 'yellow', + 'boolean': 'yellow', + 'undefined': 'grey', + 'null': 'bold', + 'string': 'green', + 'date': 'magenta', + // "name": intentionally not styling + 'regexp': 'red' +}; + + +function stylizeWithColor(str, styleType) { + var style = inspect.styles[styleType]; + + if (style) { + return '\u001b[' + inspect.colors[style][0] + 'm' + str + + '\u001b[' + inspect.colors[style][1] + 'm'; + } else { + return str; + } +} + + +function stylizeNoColor(str, styleType) { + return str; +} + + +function arrayToHash(array) { + var hash = {}; + + array.forEach(function(val, idx) { + hash[val] = true; + }); + + return hash; +} + + +function formatValue(ctx, value, recurseTimes) { + // Provide a hook for user-specified inspect functions. + // Check that value is an object with an inspect function on it + if (ctx.customInspect && + value && + isFunction(value.inspect) && + // Filter out the util module, it's inspect function is special + value.inspect !== exports.inspect && + // Also filter out any prototype objects using the circular check. + !(value.constructor && value.constructor.prototype === value)) { + var ret = value.inspect(recurseTimes, ctx); + if (!isString(ret)) { + ret = formatValue(ctx, ret, recurseTimes); + } + return ret; + } + + // Primitive types cannot have properties + var primitive = formatPrimitive(ctx, value); + if (primitive) { + return primitive; + } + + // Look up the keys of the object. + var keys = Object.keys(value); + var visibleKeys = arrayToHash(keys); + + if (ctx.showHidden) { + keys = Object.getOwnPropertyNames(value); + } + + // IE doesn't make error fields non-enumerable + // http://msdn.microsoft.com/en-us/library/ie/dww52sbt(v=vs.94).aspx + if (isError(value) + && (keys.indexOf('message') >= 0 || keys.indexOf('description') >= 0)) { + return formatError(value); + } + + // Some type of object without properties can be shortcutted. + if (keys.length === 0) { + if (isFunction(value)) { + var name = value.name ? ': ' + value.name : ''; + return ctx.stylize('[Function' + name + ']', 'special'); + } + if (isRegExp(value)) { + return ctx.stylize(RegExp.prototype.toString.call(value), 'regexp'); + } + if (isDate(value)) { + return ctx.stylize(Date.prototype.toString.call(value), 'date'); + } + if (isError(value)) { + return formatError(value); + } + } + + var base = '', array = false, braces = ['{', '}']; + + // Make Array say that they are Array + if (isArray(value)) { + array = true; + braces = ['[', ']']; + } + + // Make functions say that they are functions + if (isFunction(value)) { + var n = value.name ? ': ' + value.name : ''; + base = ' [Function' + n + ']'; + } + + // Make RegExps say that they are RegExps + if (isRegExp(value)) { + base = ' ' + RegExp.prototype.toString.call(value); + } + + // Make dates with properties first say the date + if (isDate(value)) { + base = ' ' + Date.prototype.toUTCString.call(value); + } + + // Make error with message first say the error + if (isError(value)) { + base = ' ' + formatError(value); + } + + if (keys.length === 0 && (!array || value.length == 0)) { + return braces[0] + base + braces[1]; + } + + if (recurseTimes < 0) { + if (isRegExp(value)) { + return ctx.stylize(RegExp.prototype.toString.call(value), 'regexp'); + } else { + return ctx.stylize('[Object]', 'special'); + } + } + + ctx.seen.push(value); + + var output; + if (array) { + output = formatArray(ctx, value, recurseTimes, visibleKeys, keys); + } else { + output = keys.map(function(key) { + return formatProperty(ctx, value, recurseTimes, visibleKeys, key, array); + }); + } + + ctx.seen.pop(); + + return reduceToSingleString(output, base, braces); +} + + +function formatPrimitive(ctx, value) { + if (isUndefined(value)) + return ctx.stylize('undefined', 'undefined'); + if (isString(value)) { + var simple = '\'' + JSON.stringify(value).replace(/^"|"$/g, '') + .replace(/'/g, "\\'") + .replace(/\\"/g, '"') + '\''; + return ctx.stylize(simple, 'string'); + } + if (isNumber(value)) + return ctx.stylize('' + value, 'number'); + if (isBoolean(value)) + return ctx.stylize('' + value, 'boolean'); + // For some reason typeof null is "object", so special case here. + if (isNull(value)) + return ctx.stylize('null', 'null'); +} + + +function formatError(value) { + return '[' + Error.prototype.toString.call(value) + ']'; +} + + +function formatArray(ctx, value, recurseTimes, visibleKeys, keys) { + var output = []; + for (var i = 0, l = value.length; i < l; ++i) { + if (hasOwnProperty(value, String(i))) { + output.push(formatProperty(ctx, value, recurseTimes, visibleKeys, + String(i), true)); + } else { + output.push(''); + } + } + keys.forEach(function(key) { + if (!key.match(/^\d+$/)) { + output.push(formatProperty(ctx, value, recurseTimes, visibleKeys, + key, true)); + } + }); + return output; +} + + +function formatProperty(ctx, value, recurseTimes, visibleKeys, key, array) { + var name, str, desc; + desc = Object.getOwnPropertyDescriptor(value, key) || { value: value[key] }; + if (desc.get) { + if (desc.set) { + str = ctx.stylize('[Getter/Setter]', 'special'); + } else { + str = ctx.stylize('[Getter]', 'special'); + } + } else { + if (desc.set) { + str = ctx.stylize('[Setter]', 'special'); + } + } + if (!hasOwnProperty(visibleKeys, key)) { + name = '[' + key + ']'; + } + if (!str) { + if (ctx.seen.indexOf(desc.value) < 0) { + if (isNull(recurseTimes)) { + str = formatValue(ctx, desc.value, null); + } else { + str = formatValue(ctx, desc.value, recurseTimes - 1); + } + if (str.indexOf('\n') > -1) { + if (array) { + str = str.split('\n').map(function(line) { + return ' ' + line; + }).join('\n').substr(2); + } else { + str = '\n' + str.split('\n').map(function(line) { + return ' ' + line; + }).join('\n'); + } + } + } else { + str = ctx.stylize('[Circular]', 'special'); + } + } + if (isUndefined(name)) { + if (array && key.match(/^\d+$/)) { + return str; + } + name = JSON.stringify('' + key); + if (name.match(/^"([a-zA-Z_][a-zA-Z_0-9]*)"$/)) { + name = name.substr(1, name.length - 2); + name = ctx.stylize(name, 'name'); + } else { + name = name.replace(/'/g, "\\'") + .replace(/\\"/g, '"') + .replace(/(^"|"$)/g, "'"); + name = ctx.stylize(name, 'string'); + } + } + + return name + ': ' + str; +} + + +function reduceToSingleString(output, base, braces) { + var numLinesEst = 0; + var length = output.reduce(function(prev, cur) { + numLinesEst++; + if (cur.indexOf('\n') >= 0) numLinesEst++; + return prev + cur.replace(/\u001b\[\d\d?m/g, '').length + 1; + }, 0); + + if (length > 60) { + return braces[0] + + (base === '' ? '' : base + '\n ') + + ' ' + + output.join(',\n ') + + ' ' + + braces[1]; + } + + return braces[0] + base + ' ' + output.join(', ') + ' ' + braces[1]; +} + + +// NOTE: These type checking functions intentionally don't use `instanceof` +// because it is fragile and can be easily faked with `Object.create()`. +function isArray(ar) { + return Array.isArray(ar); +} +exports.isArray = isArray; + +function isBoolean(arg) { + return typeof arg === 'boolean'; +} +exports.isBoolean = isBoolean; + +function isNull(arg) { + return arg === null; +} +exports.isNull = isNull; + +function isNullOrUndefined(arg) { + return arg == null; +} +exports.isNullOrUndefined = isNullOrUndefined; + +function isNumber(arg) { + return typeof arg === 'number'; +} +exports.isNumber = isNumber; + +function isString(arg) { + return typeof arg === 'string'; +} +exports.isString = isString; + +function isSymbol(arg) { + return typeof arg === 'symbol'; +} +exports.isSymbol = isSymbol; + +function isUndefined(arg) { + return arg === void 0; +} +exports.isUndefined = isUndefined; + +function isRegExp(re) { + return isObject(re) && objectToString(re) === '[object RegExp]'; +} +exports.isRegExp = isRegExp; + +function isObject(arg) { + return typeof arg === 'object' && arg !== null; +} +exports.isObject = isObject; + +function isDate(d) { + return isObject(d) && objectToString(d) === '[object Date]'; +} +exports.isDate = isDate; + +function isError(e) { + return isObject(e) && + (objectToString(e) === '[object Error]' || e instanceof Error); +} +exports.isError = isError; + +function isFunction(arg) { + return typeof arg === 'function'; +} +exports.isFunction = isFunction; + +function isPrimitive(arg) { + return arg === null || + typeof arg === 'boolean' || + typeof arg === 'number' || + typeof arg === 'string' || + typeof arg === 'symbol' || // ES6 symbol + typeof arg === 'undefined'; +} +exports.isPrimitive = isPrimitive; + +exports.isBuffer = require('./support/isBuffer'); + +function objectToString(o) { + return Object.prototype.toString.call(o); +} + + +function pad(n) { + return n < 10 ? '0' + n.toString(10) : n.toString(10); +} + + +var months = ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', + 'Oct', 'Nov', 'Dec']; + +// 26 Feb 16:19:34 +function timestamp() { + var d = new Date(); + var time = [pad(d.getHours()), + pad(d.getMinutes()), + pad(d.getSeconds())].join(':'); + return [d.getDate(), months[d.getMonth()], time].join(' '); +} + + +// log is just a thin wrapper to console.log that prepends a timestamp +exports.log = function() { + console.log('%s - %s', timestamp(), exports.format.apply(exports, arguments)); +}; + + +/** + * Inherit the prototype methods from one constructor into another. + * + * The Function.prototype.inherits from lang.js rewritten as a standalone + * function (not on Function.prototype). NOTE: If this file is to be loaded + * during bootstrapping this function needs to be rewritten using some native + * functions as prototype setup using normal JavaScript does not work as + * expected during bootstrapping (see mirror.js in r114903). + * + * @param {function} ctor Constructor function which needs to inherit the + * prototype. + * @param {function} superCtor Constructor function to inherit prototype from. + */ +exports.inherits = require('inherits'); + +exports._extend = function(origin, add) { + // Don't do anything if add isn't an object + if (!add || !isObject(add)) return origin; + + var keys = Object.keys(add); + var i = keys.length; + while (i--) { + origin[keys[i]] = add[keys[i]]; + } + return origin; +}; + +function hasOwnProperty(obj, prop) { + return Object.prototype.hasOwnProperty.call(obj, prop); +} + +}).call(this,require('_process'),typeof global !== "undefined" ? global : typeof self !== "undefined" ? self : typeof window !== "undefined" ? window : {}) +},{"./support/isBuffer":27,"_process":24,"inherits":26}],29:[function(require,module,exports){ +// Returns a wrapper function that returns a wrapped callback +// The wrapper function should do some stuff, and return a +// presumably different callback function. +// This makes sure that own properties are retained, so that +// decorations and such are not lost along the way. +module.exports = wrappy +function wrappy (fn, cb) { + if (fn && cb) return wrappy(fn)(cb) + + if (typeof fn !== 'function') + throw new TypeError('need wrapper function') + + Object.keys(fn).forEach(function (k) { + wrapper[k] = fn[k] + }) + + return wrapper + + function wrapper() { + var args = new Array(arguments.length) + for (var i = 0; i < args.length; i++) { + args[i] = arguments[i] + } + var ret = fn.apply(this, args) + var cb = args[args.length-1] + if (typeof ret === 'function' && ret !== cb) { + Object.keys(cb).forEach(function (k) { + ret[k] = cb[k] + }) + } + return ret + } +} + +},{}]},{},[7])(7) +}); \ No newline at end of file diff --git a/1.0.0/assets/javascripts/workers/search.16e2a7d4.min.js b/1.0.0/assets/javascripts/workers/search.16e2a7d4.min.js new file mode 100644 index 00000000..e0dc159e --- /dev/null +++ b/1.0.0/assets/javascripts/workers/search.16e2a7d4.min.js @@ -0,0 +1,48 @@ +"use strict";(()=>{var ge=Object.create;var W=Object.defineProperty,ye=Object.defineProperties,me=Object.getOwnPropertyDescriptor,ve=Object.getOwnPropertyDescriptors,xe=Object.getOwnPropertyNames,G=Object.getOwnPropertySymbols,Se=Object.getPrototypeOf,X=Object.prototype.hasOwnProperty,Qe=Object.prototype.propertyIsEnumerable;var J=(t,e,r)=>e in t?W(t,e,{enumerable:!0,configurable:!0,writable:!0,value:r}):t[e]=r,M=(t,e)=>{for(var r in e||(e={}))X.call(e,r)&&J(t,r,e[r]);if(G)for(var r of G(e))Qe.call(e,r)&&J(t,r,e[r]);return t},Z=(t,e)=>ye(t,ve(e));var K=(t,e)=>()=>(e||t((e={exports:{}}).exports,e),e.exports);var be=(t,e,r,n)=>{if(e&&typeof e=="object"||typeof e=="function")for(let i of xe(e))!X.call(t,i)&&i!==r&&W(t,i,{get:()=>e[i],enumerable:!(n=me(e,i))||n.enumerable});return t};var H=(t,e,r)=>(r=t!=null?ge(Se(t)):{},be(e||!t||!t.__esModule?W(r,"default",{value:t,enumerable:!0}):r,t));var z=(t,e,r)=>new Promise((n,i)=>{var s=u=>{try{a(r.next(u))}catch(c){i(c)}},o=u=>{try{a(r.throw(u))}catch(c){i(c)}},a=u=>u.done?n(u.value):Promise.resolve(u.value).then(s,o);a((r=r.apply(t,e)).next())});var re=K((ee,te)=>{/** + * lunr - http://lunrjs.com - A bit like Solr, but much smaller and not as bright - 2.3.9 + * Copyright (C) 2020 Oliver Nightingale + * @license MIT + */(function(){var t=function(e){var r=new t.Builder;return r.pipeline.add(t.trimmer,t.stopWordFilter,t.stemmer),r.searchPipeline.add(t.stemmer),e.call(r,r),r.build()};t.version="2.3.9";/*! + * lunr.utils + * Copyright (C) 2020 Oliver Nightingale + */t.utils={},t.utils.warn=function(e){return function(r){e.console&&console.warn&&console.warn(r)}}(this),t.utils.asString=function(e){return e==null?"":e.toString()},t.utils.clone=function(e){if(e==null)return e;for(var r=Object.create(null),n=Object.keys(e),i=0;i0){var h=t.utils.clone(r)||{};h.position=[a,c],h.index=s.length,s.push(new t.Token(n.slice(a,o),h))}a=o+1}}return s},t.tokenizer.separator=/[\s\-]+/;/*! + * lunr.Pipeline + * Copyright (C) 2020 Oliver Nightingale + */t.Pipeline=function(){this._stack=[]},t.Pipeline.registeredFunctions=Object.create(null),t.Pipeline.registerFunction=function(e,r){r in this.registeredFunctions&&t.utils.warn("Overwriting existing registered function: "+r),e.label=r,t.Pipeline.registeredFunctions[e.label]=e},t.Pipeline.warnIfFunctionNotRegistered=function(e){var r=e.label&&e.label in this.registeredFunctions;r||t.utils.warn(`Function is not registered with pipeline. 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this.pos1&&(e.backup(),e.emit(t.QueryLexer.TERM)),e.ignore(),e.more())return t.QueryLexer.lexText},t.QueryLexer.lexEditDistance=function(e){return e.ignore(),e.acceptDigitRun(),e.emit(t.QueryLexer.EDIT_DISTANCE),t.QueryLexer.lexText},t.QueryLexer.lexBoost=function(e){return e.ignore(),e.acceptDigitRun(),e.emit(t.QueryLexer.BOOST),t.QueryLexer.lexText},t.QueryLexer.lexEOS=function(e){e.width()>0&&e.emit(t.QueryLexer.TERM)},t.QueryLexer.termSeparator=t.tokenizer.separator,t.QueryLexer.lexText=function(e){for(;;){var r=e.next();if(r==t.QueryLexer.EOS)return t.QueryLexer.lexEOS;if(r.charCodeAt(0)==92){e.escapeCharacter();continue}if(r==":")return t.QueryLexer.lexField;if(r=="~")return e.backup(),e.width()>0&&e.emit(t.QueryLexer.TERM),t.QueryLexer.lexEditDistance;if(r=="^")return e.backup(),e.width()>0&&e.emit(t.QueryLexer.TERM),t.QueryLexer.lexBoost;if(r=="+"&&e.width()===1||r=="-"&&e.width()===1)return e.emit(t.QueryLexer.PRESENCE),t.QueryLexer.lexText;if(r.match(t.QueryLexer.termSeparator))return t.QueryLexer.lexTerm}},t.QueryParser=function(e,r){this.lexer=new t.QueryLexer(e),this.query=r,this.currentClause={},this.lexemeIdx=0},t.QueryParser.prototype.parse=function(){this.lexer.run(),this.lexemes=this.lexer.lexemes;for(var e=t.QueryParser.parseClause;e;)e=e(this);return this.query},t.QueryParser.prototype.peekLexeme=function(){return this.lexemes[this.lexemeIdx]},t.QueryParser.prototype.consumeLexeme=function(){var e=this.peekLexeme();return this.lexemeIdx+=1,e},t.QueryParser.prototype.nextClause=function(){var e=this.currentClause;this.query.clause(e),this.currentClause={}},t.QueryParser.parseClause=function(e){var r=e.peekLexeme();if(r!=null)switch(r.type){case t.QueryLexer.PRESENCE:return t.QueryParser.parsePresence;case t.QueryLexer.FIELD:return t.QueryParser.parseField;case t.QueryLexer.TERM:return t.QueryParser.parseTerm;default:var n="expected either a field or a term, found "+r.type;throw r.str.length>=1&&(n+=" with value '"+r.str+"'"),new t.QueryParseError(n,r.start,r.end)}},t.QueryParser.parsePresence=function(e){var r=e.consumeLexeme();if(r!=null){switch(r.str){case"-":e.currentClause.presence=t.Query.presence.PROHIBITED;break;case"+":e.currentClause.presence=t.Query.presence.REQUIRED;break;default:var n="unrecognised presence operator'"+r.str+"'";throw new t.QueryParseError(n,r.start,r.end)}var i=e.peekLexeme();if(i==null){var n="expecting term or field, found nothing";throw new t.QueryParseError(n,r.start,r.end)}switch(i.type){case t.QueryLexer.FIELD:return t.QueryParser.parseField;case t.QueryLexer.TERM:return t.QueryParser.parseTerm;default:var n="expecting term or field, found '"+i.type+"'";throw new t.QueryParseError(n,i.start,i.end)}}},t.QueryParser.parseField=function(e){var r=e.consumeLexeme();if(r!=null){if(e.query.allFields.indexOf(r.str)==-1){var n=e.query.allFields.map(function(o){return"'"+o+"'"}).join(", "),i="unrecognised field '"+r.str+"', possible fields: "+n;throw new t.QueryParseError(i,r.start,r.end)}e.currentClause.fields=[r.str];var s=e.peekLexeme();if(s==null){var i="expecting term, found nothing";throw new t.QueryParseError(i,r.start,r.end)}switch(s.type){case t.QueryLexer.TERM:return t.QueryParser.parseTerm;default:var i="expecting term, found '"+s.type+"'";throw new t.QueryParseError(i,s.start,s.end)}}},t.QueryParser.parseTerm=function(e){var r=e.consumeLexeme();if(r!=null){e.currentClause.term=r.str.toLowerCase(),r.str.indexOf("*")!=-1&&(e.currentClause.usePipeline=!1);var n=e.peekLexeme();if(n==null){e.nextClause();return}switch(n.type){case t.QueryLexer.TERM:return e.nextClause(),t.QueryParser.parseTerm;case t.QueryLexer.FIELD:return e.nextClause(),t.QueryParser.parseField;case t.QueryLexer.EDIT_DISTANCE:return t.QueryParser.parseEditDistance;case t.QueryLexer.BOOST:return t.QueryParser.parseBoost;case t.QueryLexer.PRESENCE:return e.nextClause(),t.QueryParser.parsePresence;default:var i="Unexpected lexeme type '"+n.type+"'";throw new t.QueryParseError(i,n.start,n.end)}}},t.QueryParser.parseEditDistance=function(e){var r=e.consumeLexeme();if(r!=null){var n=parseInt(r.str,10);if(isNaN(n)){var i="edit distance must be numeric";throw new t.QueryParseError(i,r.start,r.end)}e.currentClause.editDistance=n;var s=e.peekLexeme();if(s==null){e.nextClause();return}switch(s.type){case t.QueryLexer.TERM:return e.nextClause(),t.QueryParser.parseTerm;case t.QueryLexer.FIELD:return e.nextClause(),t.QueryParser.parseField;case t.QueryLexer.EDIT_DISTANCE:return t.QueryParser.parseEditDistance;case t.QueryLexer.BOOST:return t.QueryParser.parseBoost;case t.QueryLexer.PRESENCE:return e.nextClause(),t.QueryParser.parsePresence;default:var i="Unexpected lexeme type '"+s.type+"'";throw new t.QueryParseError(i,s.start,s.end)}}},t.QueryParser.parseBoost=function(e){var r=e.consumeLexeme();if(r!=null){var n=parseInt(r.str,10);if(isNaN(n)){var i="boost must be numeric";throw new t.QueryParseError(i,r.start,r.end)}e.currentClause.boost=n;var s=e.peekLexeme();if(s==null){e.nextClause();return}switch(s.type){case t.QueryLexer.TERM:return e.nextClause(),t.QueryParser.parseTerm;case t.QueryLexer.FIELD:return e.nextClause(),t.QueryParser.parseField;case t.QueryLexer.EDIT_DISTANCE:return t.QueryParser.parseEditDistance;case t.QueryLexer.BOOST:return t.QueryParser.parseBoost;case t.QueryLexer.PRESENCE:return e.nextClause(),t.QueryParser.parsePresence;default:var i="Unexpected lexeme type '"+s.type+"'";throw new t.QueryParseError(i,s.start,s.end)}}},function(e,r){typeof define=="function"&&define.amd?define(r):typeof ee=="object"?te.exports=r():e.lunr=r()}(this,function(){return t})})()});var q=K((Re,ne)=>{"use strict";/*! + * escape-html + * Copyright(c) 2012-2013 TJ Holowaychuk + * Copyright(c) 2015 Andreas Lubbe + * Copyright(c) 2015 Tiancheng "Timothy" Gu + * MIT Licensed + */var Le=/["'&<>]/;ne.exports=we;function we(t){var e=""+t,r=Le.exec(e);if(!r)return e;var n,i="",s=0,o=0;for(s=r.index;s=0;r--){let n=t[r];typeof n=="string"?n=document.createTextNode(n):n.parentNode&&n.parentNode.removeChild(n),r?e.insertBefore(this.previousSibling,n):e.replaceChild(n,this)}}}));var ie=H(q());function se(t){let e=new Map,r=new Set;for(let n of t){let[i,s]=n.location.split("#"),o=n.location,a=n.title,u=n.tags,c=(0,ie.default)(n.text).replace(/\s+(?=[,.:;!?])/g,"").replace(/\s+/g," ");if(s){let h=e.get(i);r.has(h)?e.set(o,{location:o,title:a,text:c,parent:h}):(h.title=n.title,h.text=c,r.add(h))}else e.set(o,M({location:o,title:a,text:c},u&&{tags:u}))}return e}var oe=H(q());function ae(t,e){let r=new RegExp(t.separator,"img"),n=(i,s,o)=>`${s}${o}`;return i=>{i=i.replace(/[\s*+\-:~^]+/g," ").trim();let s=new RegExp(`(^|${t.separator})(${i.replace(/[|\\{}()[\]^$+*?.-]/g,"\\$&").replace(r,"|")})`,"img");return o=>(e?(0,oe.default)(o):o).replace(s,n).replace(/<\/mark>(\s+)]*>/img,"$1")}}function ue(t){let e=new lunr.Query(["title","text"]);return new lunr.QueryParser(t,e).parse(),e.clauses}function ce(t,e){var i;let r=new Set(t),n={};for(let s=0;s!n.has(i)))]}var U=class{constructor({config:e,docs:r,options:n}){this.options=n,this.documents=se(r),this.highlight=ae(e,!1),lunr.tokenizer.separator=new RegExp(e.separator),this.index=lunr(function(){e.lang.length===1&&e.lang[0]!=="en"?this.use(lunr[e.lang[0]]):e.lang.length>1&&this.use(lunr.multiLanguage(...e.lang));let i=Ee(["trimmer","stopWordFilter","stemmer"],n.pipeline);for(let s of e.lang.map(o=>o==="en"?lunr:lunr[o]))for(let o of i)this.pipeline.remove(s[o]),this.searchPipeline.remove(s[o]);this.ref("location"),this.field("title",{boost:1e3}),this.field("text"),this.field("tags",{boost:1e6,extractor:s=>{let{tags:o=[]}=s;return o.reduce((a,u)=>[...a,...lunr.tokenizer(u)],[])}});for(let s of r)this.add(s,{boost:s.boost})})}search(e){if(e)try{let r=this.highlight(e),n=ue(e).filter(o=>o.presence!==lunr.Query.presence.PROHIBITED),i=this.index.search(`${e}*`).reduce((o,{ref:a,score:u,matchData:c})=>{let h=this.documents.get(a);if(typeof h!="undefined"){let{location:y,title:g,text:b,tags:m,parent:Q}=h,p=ce(n,Object.keys(c.metadata)),d=+!Q+ +Object.values(p).every(w=>w);o.push(Z(M({location:y,title:r(g),text:r(b)},m&&{tags:m.map(r)}),{score:u*(1+d),terms:p}))}return o},[]).sort((o,a)=>a.score-o.score).reduce((o,a)=>{let u=this.documents.get(a.location);if(typeof u!="undefined"){let c="parent"in u?u.parent.location:u.location;o.set(c,[...o.get(c)||[],a])}return o},new Map),s;if(this.options.suggestions){let o=this.index.query(a=>{for(let u of n)a.term(u.term,{fields:["title"],presence:lunr.Query.presence.REQUIRED,wildcard:lunr.Query.wildcard.TRAILING})});s=o.length?Object.keys(o[0].matchData.metadata):[]}return M({items:[...i.values()]},typeof s!="undefined"&&{suggestions:s})}catch(r){console.warn(`Invalid query: ${e} \u2013 see https://bit.ly/2s3ChXG`)}return{items:[]}}};var Y;function ke(t){return z(this,null,function*(){let e="../lunr";if(typeof parent!="undefined"&&"IFrameWorker"in parent){let n=document.querySelector("script[src]"),[i]=n.src.split("/worker");e=e.replace("..",i)}let r=[];for(let n of t.lang){switch(n){case"ja":r.push(`${e}/tinyseg.js`);break;case"hi":case"th":r.push(`${e}/wordcut.js`);break}n!=="en"&&r.push(`${e}/min/lunr.${n}.min.js`)}t.lang.length>1&&r.push(`${e}/min/lunr.multi.min.js`),r.length&&(yield importScripts(`${e}/min/lunr.stemmer.support.min.js`,...r))})}function Te(t){return z(this,null,function*(){switch(t.type){case 0:return yield ke(t.data.config),Y=new U(t.data),{type:1};case 2:return{type:3,data:Y?Y.search(t.data):{items:[]}};default:throw new TypeError("Invalid message type")}})}self.lunr=le.default;addEventListener("message",t=>z(void 0,null,function*(){postMessage(yield Te(t.data))}));})(); +//# sourceMappingURL=search.16e2a7d4.min.js.map + diff --git a/1.0.0/assets/javascripts/workers/search.16e2a7d4.min.js.map b/1.0.0/assets/javascripts/workers/search.16e2a7d4.min.js.map new file mode 100644 index 00000000..fa01f374 --- /dev/null +++ b/1.0.0/assets/javascripts/workers/search.16e2a7d4.min.js.map @@ -0,0 +1,8 @@ +{ + "version": 3, + "sources": ["node_modules/lunr/lunr.js", "node_modules/escape-html/index.js", "src/assets/javascripts/integrations/search/worker/main/index.ts", "src/assets/javascripts/polyfills/index.ts", "src/assets/javascripts/integrations/search/document/index.ts", "src/assets/javascripts/integrations/search/highlighter/index.ts", "src/assets/javascripts/integrations/search/query/_/index.ts", "src/assets/javascripts/integrations/search/_/index.ts"], + "sourceRoot": "../../../..", + "sourcesContent": ["/**\n * lunr - http://lunrjs.com - A bit like Solr, but much smaller and not as bright - 2.3.9\n * Copyright (C) 2020 Oliver Nightingale\n * @license MIT\n */\n\n;(function(){\n\n/**\n * A convenience function for configuring and constructing\n * a new lunr Index.\n *\n * A lunr.Builder instance is created and the pipeline setup\n * with a trimmer, stop word filter and stemmer.\n *\n * This builder object is yielded to the configuration function\n * that is passed as a parameter, allowing the list of fields\n * and other builder parameters to be customised.\n *\n * All documents _must_ be added within the passed config function.\n *\n * @example\n * var idx = lunr(function () {\n * this.field('title')\n * this.field('body')\n * this.ref('id')\n *\n * documents.forEach(function (doc) {\n * this.add(doc)\n * }, this)\n * })\n *\n * @see {@link lunr.Builder}\n * @see {@link lunr.Pipeline}\n * @see {@link lunr.trimmer}\n * @see {@link lunr.stopWordFilter}\n * @see {@link lunr.stemmer}\n * @namespace {function} lunr\n */\nvar lunr = function (config) {\n var builder = new lunr.Builder\n\n builder.pipeline.add(\n lunr.trimmer,\n lunr.stopWordFilter,\n lunr.stemmer\n )\n\n builder.searchPipeline.add(\n lunr.stemmer\n )\n\n config.call(builder, builder)\n return builder.build()\n}\n\nlunr.version = \"2.3.9\"\n/*!\n * lunr.utils\n * Copyright (C) 2020 Oliver Nightingale\n */\n\n/**\n * A namespace containing utils for the rest of the lunr library\n * @namespace lunr.utils\n */\nlunr.utils = {}\n\n/**\n * Print a warning message to the console.\n *\n * @param {String} message The message to be printed.\n * @memberOf lunr.utils\n * @function\n */\nlunr.utils.warn = (function (global) {\n /* eslint-disable no-console */\n return function (message) {\n if (global.console && console.warn) {\n console.warn(message)\n }\n }\n /* eslint-enable no-console */\n})(this)\n\n/**\n * Convert an object to a string.\n *\n * In the case of `null` and `undefined` the function returns\n * the empty string, in all other cases the result of calling\n * `toString` on the passed object is returned.\n *\n * @param {Any} obj The object to convert to a string.\n * @return {String} string representation of the passed object.\n * @memberOf lunr.utils\n */\nlunr.utils.asString = function (obj) {\n if (obj === void 0 || obj === null) {\n return \"\"\n } else {\n return obj.toString()\n }\n}\n\n/**\n * Clones an object.\n *\n * Will create a copy of an existing object such that any mutations\n * on the copy cannot affect the original.\n *\n * Only shallow objects are supported, passing a nested object to this\n * function will cause a TypeError.\n *\n * Objects with primitives, and arrays of primitives are supported.\n *\n * @param {Object} obj The object to clone.\n * @return {Object} a clone of the passed object.\n * @throws {TypeError} when a nested object is passed.\n * @memberOf Utils\n */\nlunr.utils.clone = function (obj) {\n if (obj === null || obj === undefined) {\n return obj\n }\n\n var clone = Object.create(null),\n keys = Object.keys(obj)\n\n for (var i = 0; i < keys.length; i++) {\n var key = keys[i],\n val = obj[key]\n\n if (Array.isArray(val)) {\n clone[key] = val.slice()\n continue\n }\n\n if (typeof val === 'string' ||\n typeof val === 'number' ||\n typeof val === 'boolean') {\n clone[key] = val\n continue\n }\n\n throw new TypeError(\"clone is not deep and does not support nested objects\")\n }\n\n return clone\n}\nlunr.FieldRef = function (docRef, fieldName, stringValue) {\n this.docRef = docRef\n this.fieldName = fieldName\n this._stringValue = stringValue\n}\n\nlunr.FieldRef.joiner = \"/\"\n\nlunr.FieldRef.fromString = function (s) {\n var n = s.indexOf(lunr.FieldRef.joiner)\n\n if (n === -1) {\n throw \"malformed field ref string\"\n }\n\n var fieldRef = s.slice(0, n),\n docRef = s.slice(n + 1)\n\n return new lunr.FieldRef (docRef, fieldRef, s)\n}\n\nlunr.FieldRef.prototype.toString = function () {\n if (this._stringValue == undefined) {\n this._stringValue = this.fieldName + lunr.FieldRef.joiner + this.docRef\n }\n\n return this._stringValue\n}\n/*!\n * lunr.Set\n * Copyright (C) 2020 Oliver Nightingale\n */\n\n/**\n * A lunr set.\n *\n * @constructor\n */\nlunr.Set = function (elements) {\n this.elements = Object.create(null)\n\n if (elements) {\n this.length = elements.length\n\n for (var i = 0; i < this.length; i++) {\n this.elements[elements[i]] = true\n }\n } else {\n this.length = 0\n }\n}\n\n/**\n * A complete set that contains all elements.\n *\n * @static\n * @readonly\n * @type {lunr.Set}\n */\nlunr.Set.complete = {\n intersect: function (other) {\n return other\n },\n\n union: function () {\n return this\n },\n\n contains: function () {\n return true\n }\n}\n\n/**\n * An empty set that contains no elements.\n *\n * @static\n * @readonly\n * @type {lunr.Set}\n */\nlunr.Set.empty = {\n intersect: function () {\n return this\n },\n\n union: function (other) {\n return other\n },\n\n contains: function () {\n return false\n }\n}\n\n/**\n * Returns true if this set contains the specified object.\n *\n * @param {object} object - Object whose presence in this set is to be tested.\n * @returns {boolean} - True if this set contains the specified object.\n */\nlunr.Set.prototype.contains = function (object) {\n return !!this.elements[object]\n}\n\n/**\n * Returns a new set containing only the elements that are present in both\n * this set and the specified set.\n *\n * @param {lunr.Set} other - set to intersect with this set.\n * @returns {lunr.Set} a new set that is the intersection of this and the specified set.\n */\n\nlunr.Set.prototype.intersect = function (other) {\n var a, b, elements, intersection = []\n\n if (other === lunr.Set.complete) {\n return this\n }\n\n if (other === lunr.Set.empty) {\n return other\n }\n\n if (this.length < other.length) {\n a = this\n b = other\n } else {\n a = other\n b = this\n }\n\n elements = Object.keys(a.elements)\n\n for (var i = 0; i < elements.length; i++) {\n var element = elements[i]\n if (element in b.elements) {\n intersection.push(element)\n }\n }\n\n return new lunr.Set (intersection)\n}\n\n/**\n * Returns a new set combining the elements of this and the specified set.\n *\n * @param {lunr.Set} other - set to union with this set.\n * @return {lunr.Set} a new set that is the union of this and the specified set.\n */\n\nlunr.Set.prototype.union = function (other) {\n if (other === lunr.Set.complete) {\n return lunr.Set.complete\n }\n\n if (other === lunr.Set.empty) {\n return this\n }\n\n return new lunr.Set(Object.keys(this.elements).concat(Object.keys(other.elements)))\n}\n/**\n * A function to calculate the inverse document frequency for\n * a posting. This is shared between the builder and the index\n *\n * @private\n * @param {object} posting - The posting for a given term\n * @param {number} documentCount - The total number of documents.\n */\nlunr.idf = function (posting, documentCount) {\n var documentsWithTerm = 0\n\n for (var fieldName in posting) {\n if (fieldName == '_index') continue // Ignore the term index, its not a field\n documentsWithTerm += Object.keys(posting[fieldName]).length\n }\n\n var x = (documentCount - documentsWithTerm + 0.5) / (documentsWithTerm + 0.5)\n\n return Math.log(1 + Math.abs(x))\n}\n\n/**\n * A token wraps a string representation of a token\n * as it is passed through the text processing pipeline.\n *\n * @constructor\n * @param {string} [str=''] - The string token being wrapped.\n * @param {object} [metadata={}] - Metadata associated with this token.\n */\nlunr.Token = function (str, metadata) {\n this.str = str || \"\"\n this.metadata = metadata || {}\n}\n\n/**\n * Returns the token string that is being wrapped by this object.\n *\n * @returns {string}\n */\nlunr.Token.prototype.toString = function () {\n return this.str\n}\n\n/**\n * A token update function is used when updating or optionally\n * when cloning a token.\n *\n * @callback lunr.Token~updateFunction\n * @param {string} str - The string representation of the token.\n * @param {Object} metadata - All metadata associated with this token.\n */\n\n/**\n * Applies the given function to the wrapped string token.\n *\n * @example\n * token.update(function (str, metadata) {\n * return str.toUpperCase()\n * })\n *\n * @param {lunr.Token~updateFunction} fn - A function to apply to the token string.\n * @returns {lunr.Token}\n */\nlunr.Token.prototype.update = function (fn) {\n this.str = fn(this.str, this.metadata)\n return this\n}\n\n/**\n * Creates a clone of this token. Optionally a function can be\n * applied to the cloned token.\n *\n * @param {lunr.Token~updateFunction} [fn] - An optional function to apply to the cloned token.\n * @returns {lunr.Token}\n */\nlunr.Token.prototype.clone = function (fn) {\n fn = fn || function (s) { return s }\n return new lunr.Token (fn(this.str, this.metadata), this.metadata)\n}\n/*!\n * lunr.tokenizer\n * Copyright (C) 2020 Oliver Nightingale\n */\n\n/**\n * A function for splitting a string into tokens ready to be inserted into\n * the search index. Uses `lunr.tokenizer.separator` to split strings, change\n * the value of this property to change how strings are split into tokens.\n *\n * This tokenizer will convert its parameter to a string by calling `toString` and\n * then will split this string on the character in `lunr.tokenizer.separator`.\n * Arrays will have their elements converted to strings and wrapped in a lunr.Token.\n *\n * Optional metadata can be passed to the tokenizer, this metadata will be cloned and\n * added as metadata to every token that is created from the object to be tokenized.\n *\n * @static\n * @param {?(string|object|object[])} obj - The object to convert into tokens\n * @param {?object} metadata - Optional metadata to associate with every token\n * @returns {lunr.Token[]}\n * @see {@link lunr.Pipeline}\n */\nlunr.tokenizer = function (obj, metadata) {\n if (obj == null || obj == undefined) {\n return []\n }\n\n if (Array.isArray(obj)) {\n return obj.map(function (t) {\n return new lunr.Token(\n lunr.utils.asString(t).toLowerCase(),\n lunr.utils.clone(metadata)\n )\n })\n }\n\n var str = obj.toString().toLowerCase(),\n len = str.length,\n tokens = []\n\n for (var sliceEnd = 0, sliceStart = 0; sliceEnd <= len; sliceEnd++) {\n var char = str.charAt(sliceEnd),\n sliceLength = sliceEnd - sliceStart\n\n if ((char.match(lunr.tokenizer.separator) || sliceEnd == len)) {\n\n if (sliceLength > 0) {\n var tokenMetadata = lunr.utils.clone(metadata) || {}\n tokenMetadata[\"position\"] = [sliceStart, sliceLength]\n tokenMetadata[\"index\"] = tokens.length\n\n tokens.push(\n new lunr.Token (\n str.slice(sliceStart, sliceEnd),\n tokenMetadata\n )\n )\n }\n\n sliceStart = sliceEnd + 1\n }\n\n }\n\n return tokens\n}\n\n/**\n * The separator used to split a string into tokens. Override this property to change the behaviour of\n * `lunr.tokenizer` behaviour when tokenizing strings. By default this splits on whitespace and hyphens.\n *\n * @static\n * @see lunr.tokenizer\n */\nlunr.tokenizer.separator = /[\\s\\-]+/\n/*!\n * lunr.Pipeline\n * Copyright (C) 2020 Oliver Nightingale\n */\n\n/**\n * lunr.Pipelines maintain an ordered list of functions to be applied to all\n * tokens in documents entering the search index and queries being ran against\n * the index.\n *\n * An instance of lunr.Index created with the lunr shortcut will contain a\n * pipeline with a stop word filter and an English language stemmer. Extra\n * functions can be added before or after either of these functions or these\n * default functions can be removed.\n *\n * When run the pipeline will call each function in turn, passing a token, the\n * index of that token in the original list of all tokens and finally a list of\n * all the original tokens.\n *\n * The output of functions in the pipeline will be passed to the next function\n * in the pipeline. To exclude a token from entering the index the function\n * should return undefined, the rest of the pipeline will not be called with\n * this token.\n *\n * For serialisation of pipelines to work, all functions used in an instance of\n * a pipeline should be registered with lunr.Pipeline. Registered functions can\n * then be loaded. If trying to load a serialised pipeline that uses functions\n * that are not registered an error will be thrown.\n *\n * If not planning on serialising the pipeline then registering pipeline functions\n * is not necessary.\n *\n * @constructor\n */\nlunr.Pipeline = function () {\n this._stack = []\n}\n\nlunr.Pipeline.registeredFunctions = Object.create(null)\n\n/**\n * A pipeline function maps lunr.Token to lunr.Token. A lunr.Token contains the token\n * string as well as all known metadata. A pipeline function can mutate the token string\n * or mutate (or add) metadata for a given token.\n *\n * A pipeline function can indicate that the passed token should be discarded by returning\n * null, undefined or an empty string. This token will not be passed to any downstream pipeline\n * functions and will not be added to the index.\n *\n * Multiple tokens can be returned by returning an array of tokens. Each token will be passed\n * to any downstream pipeline functions and all will returned tokens will be added to the index.\n *\n * Any number of pipeline functions may be chained together using a lunr.Pipeline.\n *\n * @interface lunr.PipelineFunction\n * @param {lunr.Token} token - A token from the document being processed.\n * @param {number} i - The index of this token in the complete list of tokens for this document/field.\n * @param {lunr.Token[]} tokens - All tokens for this document/field.\n * @returns {(?lunr.Token|lunr.Token[])}\n */\n\n/**\n * Register a function with the pipeline.\n *\n * Functions that are used in the pipeline should be registered if the pipeline\n * needs to be serialised, or a serialised pipeline needs to be loaded.\n *\n * Registering a function does not add it to a pipeline, functions must still be\n * added to instances of the pipeline for them to be used when running a pipeline.\n *\n * @param {lunr.PipelineFunction} fn - The function to check for.\n * @param {String} label - The label to register this function with\n */\nlunr.Pipeline.registerFunction = function (fn, label) {\n if (label in this.registeredFunctions) {\n lunr.utils.warn('Overwriting existing registered function: ' + label)\n }\n\n fn.label = label\n lunr.Pipeline.registeredFunctions[fn.label] = fn\n}\n\n/**\n * Warns if the function is not registered as a Pipeline function.\n *\n * @param {lunr.PipelineFunction} fn - The function to check for.\n * @private\n */\nlunr.Pipeline.warnIfFunctionNotRegistered = function (fn) {\n var isRegistered = fn.label && (fn.label in this.registeredFunctions)\n\n if (!isRegistered) {\n lunr.utils.warn('Function is not registered with pipeline. This may cause problems when serialising the index.\\n', fn)\n }\n}\n\n/**\n * Loads a previously serialised pipeline.\n *\n * All functions to be loaded must already be registered with lunr.Pipeline.\n * If any function from the serialised data has not been registered then an\n * error will be thrown.\n *\n * @param {Object} serialised - The serialised pipeline to load.\n * @returns {lunr.Pipeline}\n */\nlunr.Pipeline.load = function (serialised) {\n var pipeline = new lunr.Pipeline\n\n serialised.forEach(function (fnName) {\n var fn = lunr.Pipeline.registeredFunctions[fnName]\n\n if (fn) {\n pipeline.add(fn)\n } else {\n throw new Error('Cannot load unregistered function: ' + fnName)\n }\n })\n\n return pipeline\n}\n\n/**\n * Adds new functions to the end of the pipeline.\n *\n * Logs a warning if the function has not been registered.\n *\n * @param {lunr.PipelineFunction[]} functions - Any number of functions to add to the pipeline.\n */\nlunr.Pipeline.prototype.add = function () {\n var fns = Array.prototype.slice.call(arguments)\n\n fns.forEach(function (fn) {\n lunr.Pipeline.warnIfFunctionNotRegistered(fn)\n this._stack.push(fn)\n }, this)\n}\n\n/**\n * Adds a single function after a function that already exists in the\n * pipeline.\n *\n * Logs a warning if the function has not been registered.\n *\n * @param {lunr.PipelineFunction} existingFn - A function that already exists in the pipeline.\n * @param {lunr.PipelineFunction} newFn - The new function to add to the pipeline.\n */\nlunr.Pipeline.prototype.after = function (existingFn, newFn) {\n lunr.Pipeline.warnIfFunctionNotRegistered(newFn)\n\n var pos = this._stack.indexOf(existingFn)\n if (pos == -1) {\n throw new Error('Cannot find existingFn')\n }\n\n pos = pos + 1\n this._stack.splice(pos, 0, newFn)\n}\n\n/**\n * Adds a single function before a function that already exists in the\n * pipeline.\n *\n * Logs a warning if the function has not been registered.\n *\n * @param {lunr.PipelineFunction} existingFn - A function that already exists in the pipeline.\n * @param {lunr.PipelineFunction} newFn - The new function to add to the pipeline.\n */\nlunr.Pipeline.prototype.before = function (existingFn, newFn) {\n lunr.Pipeline.warnIfFunctionNotRegistered(newFn)\n\n var pos = this._stack.indexOf(existingFn)\n if (pos == -1) {\n throw new Error('Cannot find existingFn')\n }\n\n this._stack.splice(pos, 0, newFn)\n}\n\n/**\n * Removes a function from the pipeline.\n *\n * @param {lunr.PipelineFunction} fn The function to remove from the pipeline.\n */\nlunr.Pipeline.prototype.remove = function (fn) {\n var pos = this._stack.indexOf(fn)\n if (pos == -1) {\n return\n }\n\n this._stack.splice(pos, 1)\n}\n\n/**\n * Runs the current list of functions that make up the pipeline against the\n * passed tokens.\n *\n * @param {Array} tokens The tokens to run through the pipeline.\n * @returns {Array}\n */\nlunr.Pipeline.prototype.run = function (tokens) {\n var stackLength = this._stack.length\n\n for (var i = 0; i < stackLength; i++) {\n var fn = this._stack[i]\n var memo = []\n\n for (var j = 0; j < tokens.length; j++) {\n var result = fn(tokens[j], j, tokens)\n\n if (result === null || result === void 0 || result === '') continue\n\n if (Array.isArray(result)) {\n for (var k = 0; k < result.length; k++) {\n memo.push(result[k])\n }\n } else {\n memo.push(result)\n }\n }\n\n tokens = memo\n }\n\n return tokens\n}\n\n/**\n * Convenience method for passing a string through a pipeline and getting\n * strings out. This method takes care of wrapping the passed string in a\n * token and mapping the resulting tokens back to strings.\n *\n * @param {string} str - The string to pass through the pipeline.\n * @param {?object} metadata - Optional metadata to associate with the token\n * passed to the pipeline.\n * @returns {string[]}\n */\nlunr.Pipeline.prototype.runString = function (str, metadata) {\n var token = new lunr.Token (str, metadata)\n\n return this.run([token]).map(function (t) {\n return t.toString()\n })\n}\n\n/**\n * Resets the pipeline by removing any existing processors.\n *\n */\nlunr.Pipeline.prototype.reset = function () {\n this._stack = []\n}\n\n/**\n * Returns a representation of the pipeline ready for serialisation.\n *\n * Logs a warning if the function has not been registered.\n *\n * @returns {Array}\n */\nlunr.Pipeline.prototype.toJSON = function () {\n return this._stack.map(function (fn) {\n lunr.Pipeline.warnIfFunctionNotRegistered(fn)\n\n return fn.label\n })\n}\n/*!\n * lunr.Vector\n * Copyright (C) 2020 Oliver Nightingale\n */\n\n/**\n * A vector is used to construct the vector space of documents and queries. These\n * vectors support operations to determine the similarity between two documents or\n * a document and a query.\n *\n * Normally no parameters are required for initializing a vector, but in the case of\n * loading a previously dumped vector the raw elements can be provided to the constructor.\n *\n * For performance reasons vectors are implemented with a flat array, where an elements\n * index is immediately followed by its value. E.g. [index, value, index, value]. This\n * allows the underlying array to be as sparse as possible and still offer decent\n * performance when being used for vector calculations.\n *\n * @constructor\n * @param {Number[]} [elements] - The flat list of element index and element value pairs.\n */\nlunr.Vector = function (elements) {\n this._magnitude = 0\n this.elements = elements || []\n}\n\n\n/**\n * Calculates the position within the vector to insert a given index.\n *\n * This is used internally by insert and upsert. If there are duplicate indexes then\n * the position is returned as if the value for that index were to be updated, but it\n * is the callers responsibility to check whether there is a duplicate at that index\n *\n * @param {Number} insertIdx - The index at which the element should be inserted.\n * @returns {Number}\n */\nlunr.Vector.prototype.positionForIndex = function (index) {\n // For an empty vector the tuple can be inserted at the beginning\n if (this.elements.length == 0) {\n return 0\n }\n\n var start = 0,\n end = this.elements.length / 2,\n sliceLength = end - start,\n pivotPoint = Math.floor(sliceLength / 2),\n pivotIndex = this.elements[pivotPoint * 2]\n\n while (sliceLength > 1) {\n if (pivotIndex < index) {\n start = pivotPoint\n }\n\n if (pivotIndex > index) {\n end = pivotPoint\n }\n\n if (pivotIndex == index) {\n break\n }\n\n sliceLength = end - start\n pivotPoint = start + Math.floor(sliceLength / 2)\n pivotIndex = this.elements[pivotPoint * 2]\n }\n\n if (pivotIndex == index) {\n return pivotPoint * 2\n }\n\n if (pivotIndex > index) {\n return pivotPoint * 2\n }\n\n if (pivotIndex < index) {\n return (pivotPoint + 1) * 2\n }\n}\n\n/**\n * Inserts an element at an index within the vector.\n *\n * Does not allow duplicates, will throw an error if there is already an entry\n * for this index.\n *\n * @param {Number} insertIdx - The index at which the element should be inserted.\n * @param {Number} val - The value to be inserted into the vector.\n */\nlunr.Vector.prototype.insert = function (insertIdx, val) {\n this.upsert(insertIdx, val, function () {\n throw \"duplicate index\"\n })\n}\n\n/**\n * Inserts or updates an existing index within the vector.\n *\n * @param {Number} insertIdx - The index at which the element should be inserted.\n * @param {Number} val - The value to be inserted into the vector.\n * @param {function} fn - A function that is called for updates, the existing value and the\n * requested value are passed as arguments\n */\nlunr.Vector.prototype.upsert = function (insertIdx, val, fn) {\n this._magnitude = 0\n var position = this.positionForIndex(insertIdx)\n\n if (this.elements[position] == insertIdx) {\n this.elements[position + 1] = fn(this.elements[position + 1], val)\n } else {\n this.elements.splice(position, 0, insertIdx, val)\n }\n}\n\n/**\n * Calculates the magnitude of this vector.\n *\n * @returns {Number}\n */\nlunr.Vector.prototype.magnitude = function () {\n if (this._magnitude) return this._magnitude\n\n var sumOfSquares = 0,\n elementsLength = this.elements.length\n\n for (var i = 1; i < elementsLength; i += 2) {\n var val = this.elements[i]\n sumOfSquares += val * val\n }\n\n return this._magnitude = Math.sqrt(sumOfSquares)\n}\n\n/**\n * Calculates the dot product of this vector and another vector.\n *\n * @param {lunr.Vector} otherVector - The vector to compute the dot product with.\n * @returns {Number}\n */\nlunr.Vector.prototype.dot = function (otherVector) {\n var dotProduct = 0,\n a = this.elements, b = otherVector.elements,\n aLen = a.length, bLen = b.length,\n aVal = 0, bVal = 0,\n i = 0, j = 0\n\n while (i < aLen && j < bLen) {\n aVal = a[i], bVal = b[j]\n if (aVal < bVal) {\n i += 2\n } else if (aVal > bVal) {\n j += 2\n } else if (aVal == bVal) {\n dotProduct += a[i + 1] * b[j + 1]\n i += 2\n j += 2\n }\n }\n\n return dotProduct\n}\n\n/**\n * Calculates the similarity between this vector and another vector.\n *\n * @param {lunr.Vector} otherVector - The other vector to calculate the\n * similarity with.\n * @returns {Number}\n */\nlunr.Vector.prototype.similarity = function (otherVector) {\n return this.dot(otherVector) / this.magnitude() || 0\n}\n\n/**\n * Converts the vector to an array of the elements within the vector.\n *\n * @returns {Number[]}\n */\nlunr.Vector.prototype.toArray = function () {\n var output = new Array (this.elements.length / 2)\n\n for (var i = 1, j = 0; i < this.elements.length; i += 2, j++) {\n output[j] = this.elements[i]\n }\n\n return output\n}\n\n/**\n * A JSON serializable representation of the vector.\n *\n * @returns {Number[]}\n */\nlunr.Vector.prototype.toJSON = function () {\n return this.elements\n}\n/* eslint-disable */\n/*!\n * lunr.stemmer\n * Copyright (C) 2020 Oliver Nightingale\n * Includes code from - http://tartarus.org/~martin/PorterStemmer/js.txt\n */\n\n/**\n * lunr.stemmer is an english language stemmer, this is a JavaScript\n * implementation of the PorterStemmer taken from http://tartarus.org/~martin\n *\n * @static\n * @implements {lunr.PipelineFunction}\n * @param {lunr.Token} token - The string to stem\n * @returns {lunr.Token}\n * @see {@link lunr.Pipeline}\n * @function\n */\nlunr.stemmer = (function(){\n var step2list = {\n \"ational\" : \"ate\",\n \"tional\" : \"tion\",\n \"enci\" : \"ence\",\n \"anci\" : \"ance\",\n \"izer\" : \"ize\",\n \"bli\" : \"ble\",\n \"alli\" : \"al\",\n \"entli\" : \"ent\",\n \"eli\" : \"e\",\n \"ousli\" : \"ous\",\n \"ization\" : \"ize\",\n \"ation\" : \"ate\",\n \"ator\" : \"ate\",\n \"alism\" : \"al\",\n \"iveness\" : \"ive\",\n \"fulness\" : \"ful\",\n \"ousness\" : \"ous\",\n \"aliti\" : \"al\",\n \"iviti\" : \"ive\",\n \"biliti\" : \"ble\",\n \"logi\" : \"log\"\n },\n\n step3list = {\n \"icate\" : \"ic\",\n \"ative\" : \"\",\n \"alize\" : \"al\",\n \"iciti\" : \"ic\",\n \"ical\" : \"ic\",\n \"ful\" : \"\",\n \"ness\" : \"\"\n },\n\n c = \"[^aeiou]\", // consonant\n v = \"[aeiouy]\", // vowel\n C = c + \"[^aeiouy]*\", // consonant sequence\n V = v + \"[aeiou]*\", // vowel sequence\n\n mgr0 = \"^(\" + C + \")?\" + V + C, // [C]VC... is m>0\n meq1 = \"^(\" + C + \")?\" + V + C + \"(\" + V + \")?$\", // [C]VC[V] is m=1\n mgr1 = \"^(\" + C + \")?\" + V + C + V + C, // [C]VCVC... is m>1\n s_v = \"^(\" + C + \")?\" + v; // vowel in stem\n\n var re_mgr0 = new RegExp(mgr0);\n var re_mgr1 = new RegExp(mgr1);\n var re_meq1 = new RegExp(meq1);\n var re_s_v = new RegExp(s_v);\n\n var re_1a = /^(.+?)(ss|i)es$/;\n var re2_1a = /^(.+?)([^s])s$/;\n var re_1b = /^(.+?)eed$/;\n var re2_1b = /^(.+?)(ed|ing)$/;\n var re_1b_2 = /.$/;\n var re2_1b_2 = /(at|bl|iz)$/;\n var re3_1b_2 = new RegExp(\"([^aeiouylsz])\\\\1$\");\n var re4_1b_2 = new RegExp(\"^\" + C + v + \"[^aeiouwxy]$\");\n\n var re_1c = /^(.+?[^aeiou])y$/;\n var re_2 = /^(.+?)(ational|tional|enci|anci|izer|bli|alli|entli|eli|ousli|ization|ation|ator|alism|iveness|fulness|ousness|aliti|iviti|biliti|logi)$/;\n\n var re_3 = /^(.+?)(icate|ative|alize|iciti|ical|ful|ness)$/;\n\n var re_4 = /^(.+?)(al|ance|ence|er|ic|able|ible|ant|ement|ment|ent|ou|ism|ate|iti|ous|ive|ize)$/;\n var re2_4 = /^(.+?)(s|t)(ion)$/;\n\n var re_5 = /^(.+?)e$/;\n var re_5_1 = /ll$/;\n var re3_5 = new RegExp(\"^\" + C + v + \"[^aeiouwxy]$\");\n\n var porterStemmer = function porterStemmer(w) {\n var stem,\n suffix,\n firstch,\n re,\n re2,\n re3,\n re4;\n\n if (w.length < 3) { return w; }\n\n firstch = w.substr(0,1);\n if (firstch == \"y\") {\n w = firstch.toUpperCase() + w.substr(1);\n }\n\n // Step 1a\n re = re_1a\n re2 = re2_1a;\n\n if (re.test(w)) { w = w.replace(re,\"$1$2\"); }\n else if (re2.test(w)) { w = w.replace(re2,\"$1$2\"); }\n\n // Step 1b\n re = re_1b;\n re2 = re2_1b;\n if (re.test(w)) {\n var fp = re.exec(w);\n re = re_mgr0;\n if (re.test(fp[1])) {\n re = re_1b_2;\n w = w.replace(re,\"\");\n }\n } else if (re2.test(w)) {\n var fp = re2.exec(w);\n stem = fp[1];\n re2 = re_s_v;\n if (re2.test(stem)) {\n w = stem;\n re2 = re2_1b_2;\n re3 = re3_1b_2;\n re4 = re4_1b_2;\n if (re2.test(w)) { w = w + \"e\"; }\n else if (re3.test(w)) { re = re_1b_2; w = w.replace(re,\"\"); }\n else if (re4.test(w)) { w = w + \"e\"; }\n }\n }\n\n // Step 1c - replace suffix y or Y by i if preceded by a non-vowel which is not the first letter of the word (so cry -> cri, by -> by, say -> say)\n re = re_1c;\n if (re.test(w)) {\n var fp = re.exec(w);\n stem = fp[1];\n w = stem + \"i\";\n }\n\n // Step 2\n re = re_2;\n if (re.test(w)) {\n var fp = re.exec(w);\n stem = fp[1];\n suffix = fp[2];\n re = re_mgr0;\n if (re.test(stem)) {\n w = stem + step2list[suffix];\n }\n }\n\n // Step 3\n re = re_3;\n if (re.test(w)) {\n var fp = re.exec(w);\n stem = fp[1];\n suffix = fp[2];\n re = re_mgr0;\n if (re.test(stem)) {\n w = stem + step3list[suffix];\n }\n }\n\n // Step 4\n re = re_4;\n re2 = re2_4;\n if (re.test(w)) {\n var fp = re.exec(w);\n stem = fp[1];\n re = re_mgr1;\n if (re.test(stem)) {\n w = stem;\n }\n } else if (re2.test(w)) {\n var fp = re2.exec(w);\n stem = fp[1] + fp[2];\n re2 = re_mgr1;\n if (re2.test(stem)) {\n w = stem;\n }\n }\n\n // Step 5\n re = re_5;\n if (re.test(w)) {\n var fp = re.exec(w);\n stem = fp[1];\n re = re_mgr1;\n re2 = re_meq1;\n re3 = re3_5;\n if (re.test(stem) || (re2.test(stem) && !(re3.test(stem)))) {\n w = stem;\n }\n }\n\n re = re_5_1;\n re2 = re_mgr1;\n if (re.test(w) && re2.test(w)) {\n re = re_1b_2;\n w = w.replace(re,\"\");\n }\n\n // and turn initial Y back to y\n\n if (firstch == \"y\") {\n w = firstch.toLowerCase() + w.substr(1);\n }\n\n return w;\n };\n\n return function (token) {\n return token.update(porterStemmer);\n }\n})();\n\nlunr.Pipeline.registerFunction(lunr.stemmer, 'stemmer')\n/*!\n * lunr.stopWordFilter\n * Copyright (C) 2020 Oliver Nightingale\n */\n\n/**\n * lunr.generateStopWordFilter builds a stopWordFilter function from the provided\n * list of stop words.\n *\n * The built in lunr.stopWordFilter is built using this generator and can be used\n * to generate custom stopWordFilters for applications or non English languages.\n *\n * @function\n * @param {Array} token The token to pass through the filter\n * @returns {lunr.PipelineFunction}\n * @see lunr.Pipeline\n * @see lunr.stopWordFilter\n */\nlunr.generateStopWordFilter = function (stopWords) {\n var words = stopWords.reduce(function (memo, stopWord) {\n memo[stopWord] = stopWord\n return memo\n }, {})\n\n return function (token) {\n if (token && words[token.toString()] !== token.toString()) return token\n }\n}\n\n/**\n * lunr.stopWordFilter is an English language stop word list filter, any words\n * contained in the list will not be passed through the filter.\n *\n * This is intended to be used in the Pipeline. If the token does not pass the\n * filter then undefined will be returned.\n *\n * @function\n * @implements {lunr.PipelineFunction}\n * @params {lunr.Token} token - A token to check for being a stop word.\n * @returns {lunr.Token}\n * @see {@link lunr.Pipeline}\n */\nlunr.stopWordFilter = lunr.generateStopWordFilter([\n 'a',\n 'able',\n 'about',\n 'across',\n 'after',\n 'all',\n 'almost',\n 'also',\n 'am',\n 'among',\n 'an',\n 'and',\n 'any',\n 'are',\n 'as',\n 'at',\n 'be',\n 'because',\n 'been',\n 'but',\n 'by',\n 'can',\n 'cannot',\n 'could',\n 'dear',\n 'did',\n 'do',\n 'does',\n 'either',\n 'else',\n 'ever',\n 'every',\n 'for',\n 'from',\n 'get',\n 'got',\n 'had',\n 'has',\n 'have',\n 'he',\n 'her',\n 'hers',\n 'him',\n 'his',\n 'how',\n 'however',\n 'i',\n 'if',\n 'in',\n 'into',\n 'is',\n 'it',\n 'its',\n 'just',\n 'least',\n 'let',\n 'like',\n 'likely',\n 'may',\n 'me',\n 'might',\n 'most',\n 'must',\n 'my',\n 'neither',\n 'no',\n 'nor',\n 'not',\n 'of',\n 'off',\n 'often',\n 'on',\n 'only',\n 'or',\n 'other',\n 'our',\n 'own',\n 'rather',\n 'said',\n 'say',\n 'says',\n 'she',\n 'should',\n 'since',\n 'so',\n 'some',\n 'than',\n 'that',\n 'the',\n 'their',\n 'them',\n 'then',\n 'there',\n 'these',\n 'they',\n 'this',\n 'tis',\n 'to',\n 'too',\n 'twas',\n 'us',\n 'wants',\n 'was',\n 'we',\n 'were',\n 'what',\n 'when',\n 'where',\n 'which',\n 'while',\n 'who',\n 'whom',\n 'why',\n 'will',\n 'with',\n 'would',\n 'yet',\n 'you',\n 'your'\n])\n\nlunr.Pipeline.registerFunction(lunr.stopWordFilter, 'stopWordFilter')\n/*!\n * lunr.trimmer\n * Copyright (C) 2020 Oliver Nightingale\n */\n\n/**\n * lunr.trimmer is a pipeline function for trimming non word\n * characters from the beginning and end of tokens before they\n * enter the index.\n *\n * This implementation may not work correctly for non latin\n * characters and should either be removed or adapted for use\n * with languages with non-latin characters.\n *\n * @static\n * @implements {lunr.PipelineFunction}\n * @param {lunr.Token} token The token to pass through the filter\n * @returns {lunr.Token}\n * @see lunr.Pipeline\n */\nlunr.trimmer = function (token) {\n return token.update(function (s) {\n return s.replace(/^\\W+/, '').replace(/\\W+$/, '')\n })\n}\n\nlunr.Pipeline.registerFunction(lunr.trimmer, 'trimmer')\n/*!\n * lunr.TokenSet\n * Copyright (C) 2020 Oliver Nightingale\n */\n\n/**\n * A token set is used to store the unique list of all tokens\n * within an index. Token sets are also used to represent an\n * incoming query to the index, this query token set and index\n * token set are then intersected to find which tokens to look\n * up in the inverted index.\n *\n * A token set can hold multiple tokens, as in the case of the\n * index token set, or it can hold a single token as in the\n * case of a simple query token set.\n *\n * Additionally token sets are used to perform wildcard matching.\n * Leading, contained and trailing wildcards are supported, and\n * from this edit distance matching can also be provided.\n *\n * Token sets are implemented as a minimal finite state automata,\n * where both common prefixes and suffixes are shared between tokens.\n * This helps to reduce the space used for storing the token set.\n *\n * @constructor\n */\nlunr.TokenSet = function () {\n this.final = false\n this.edges = {}\n this.id = lunr.TokenSet._nextId\n lunr.TokenSet._nextId += 1\n}\n\n/**\n * Keeps track of the next, auto increment, identifier to assign\n * to a new tokenSet.\n *\n * TokenSets require a unique identifier to be correctly minimised.\n *\n * @private\n */\nlunr.TokenSet._nextId = 1\n\n/**\n * Creates a TokenSet instance from the given sorted array of words.\n *\n * @param {String[]} arr - A sorted array of strings to create the set from.\n * @returns {lunr.TokenSet}\n * @throws Will throw an error if the input array is not sorted.\n */\nlunr.TokenSet.fromArray = function (arr) {\n var builder = new lunr.TokenSet.Builder\n\n for (var i = 0, len = arr.length; i < len; i++) {\n builder.insert(arr[i])\n }\n\n builder.finish()\n return builder.root\n}\n\n/**\n * Creates a token set from a query clause.\n *\n * @private\n * @param {Object} clause - A single clause from lunr.Query.\n * @param {string} clause.term - The query clause term.\n * @param {number} [clause.editDistance] - The optional edit distance for the term.\n * @returns {lunr.TokenSet}\n */\nlunr.TokenSet.fromClause = function (clause) {\n if ('editDistance' in clause) {\n return lunr.TokenSet.fromFuzzyString(clause.term, clause.editDistance)\n } else {\n return lunr.TokenSet.fromString(clause.term)\n }\n}\n\n/**\n * Creates a token set representing a single string with a specified\n * edit distance.\n *\n * Insertions, deletions, substitutions and transpositions are each\n * treated as an edit distance of 1.\n *\n * Increasing the allowed edit distance will have a dramatic impact\n * on the performance of both creating and intersecting these TokenSets.\n * It is advised to keep the edit distance less than 3.\n *\n * @param {string} str - The string to create the token set from.\n * @param {number} editDistance - The allowed edit distance to match.\n * @returns {lunr.Vector}\n */\nlunr.TokenSet.fromFuzzyString = function (str, editDistance) {\n var root = new lunr.TokenSet\n\n var stack = [{\n node: root,\n editsRemaining: editDistance,\n str: str\n }]\n\n while (stack.length) {\n var frame = stack.pop()\n\n // no edit\n if (frame.str.length > 0) {\n var char = frame.str.charAt(0),\n noEditNode\n\n if (char in frame.node.edges) {\n noEditNode = frame.node.edges[char]\n } else {\n noEditNode = new lunr.TokenSet\n frame.node.edges[char] = noEditNode\n }\n\n if (frame.str.length == 1) {\n noEditNode.final = true\n }\n\n stack.push({\n node: noEditNode,\n editsRemaining: frame.editsRemaining,\n str: frame.str.slice(1)\n })\n }\n\n if (frame.editsRemaining == 0) {\n continue\n }\n\n // insertion\n if (\"*\" in frame.node.edges) {\n var insertionNode = frame.node.edges[\"*\"]\n } else {\n var insertionNode = new lunr.TokenSet\n frame.node.edges[\"*\"] = insertionNode\n }\n\n if (frame.str.length == 0) {\n insertionNode.final = true\n }\n\n stack.push({\n node: insertionNode,\n editsRemaining: frame.editsRemaining - 1,\n str: frame.str\n })\n\n // deletion\n // can only do a deletion if we have enough edits remaining\n // and if there are characters left to delete in the string\n if (frame.str.length > 1) {\n stack.push({\n node: frame.node,\n editsRemaining: frame.editsRemaining - 1,\n str: frame.str.slice(1)\n })\n }\n\n // deletion\n // just removing the last character from the str\n if (frame.str.length == 1) {\n frame.node.final = true\n }\n\n // substitution\n // can only do a substitution if we have enough edits remaining\n // and if there are characters left to substitute\n if (frame.str.length >= 1) {\n if (\"*\" in frame.node.edges) {\n var substitutionNode = frame.node.edges[\"*\"]\n } else {\n var substitutionNode = new lunr.TokenSet\n frame.node.edges[\"*\"] = substitutionNode\n }\n\n if (frame.str.length == 1) {\n substitutionNode.final = true\n }\n\n stack.push({\n node: substitutionNode,\n editsRemaining: frame.editsRemaining - 1,\n str: frame.str.slice(1)\n })\n }\n\n // transposition\n // can only do a transposition if there are edits remaining\n // and there are enough characters to transpose\n if (frame.str.length > 1) {\n var charA = frame.str.charAt(0),\n charB = frame.str.charAt(1),\n transposeNode\n\n if (charB in frame.node.edges) {\n transposeNode = frame.node.edges[charB]\n } else {\n transposeNode = new lunr.TokenSet\n frame.node.edges[charB] = transposeNode\n }\n\n if (frame.str.length == 1) {\n transposeNode.final = true\n }\n\n stack.push({\n node: transposeNode,\n editsRemaining: frame.editsRemaining - 1,\n str: charA + frame.str.slice(2)\n })\n }\n }\n\n return root\n}\n\n/**\n * Creates a TokenSet from a string.\n *\n * The string may contain one or more wildcard characters (*)\n * that will allow wildcard matching when intersecting with\n * another TokenSet.\n *\n * @param {string} str - The string to create a TokenSet from.\n * @returns {lunr.TokenSet}\n */\nlunr.TokenSet.fromString = function (str) {\n var node = new lunr.TokenSet,\n root = node\n\n /*\n * Iterates through all characters within the passed string\n * appending a node for each character.\n *\n * When a wildcard character is found then a self\n * referencing edge is introduced to continually match\n * any number of any characters.\n */\n for (var i = 0, len = str.length; i < len; i++) {\n var char = str[i],\n final = (i == len - 1)\n\n if (char == \"*\") {\n node.edges[char] = node\n node.final = final\n\n } else {\n var next = new lunr.TokenSet\n next.final = final\n\n node.edges[char] = next\n node = next\n }\n }\n\n return root\n}\n\n/**\n * Converts this TokenSet into an array of strings\n * contained within the TokenSet.\n *\n * This is not intended to be used on a TokenSet that\n * contains wildcards, in these cases the results are\n * undefined and are likely to cause an infinite loop.\n *\n * @returns {string[]}\n */\nlunr.TokenSet.prototype.toArray = function () {\n var words = []\n\n var stack = [{\n prefix: \"\",\n node: this\n }]\n\n while (stack.length) {\n var frame = stack.pop(),\n edges = Object.keys(frame.node.edges),\n len = edges.length\n\n if (frame.node.final) {\n /* In Safari, at this point the prefix is sometimes corrupted, see:\n * https://github.com/olivernn/lunr.js/issues/279 Calling any\n * String.prototype method forces Safari to \"cast\" this string to what\n * it's supposed to be, fixing the bug. */\n frame.prefix.charAt(0)\n words.push(frame.prefix)\n }\n\n for (var i = 0; i < len; i++) {\n var edge = edges[i]\n\n stack.push({\n prefix: frame.prefix.concat(edge),\n node: frame.node.edges[edge]\n })\n }\n }\n\n return words\n}\n\n/**\n * Generates a string representation of a TokenSet.\n *\n * This is intended to allow TokenSets to be used as keys\n * in objects, largely to aid the construction and minimisation\n * of a TokenSet. As such it is not designed to be a human\n * friendly representation of the TokenSet.\n *\n * @returns {string}\n */\nlunr.TokenSet.prototype.toString = function () {\n // NOTE: Using Object.keys here as this.edges is very likely\n // to enter 'hash-mode' with many keys being added\n //\n // avoiding a for-in loop here as it leads to the function\n // being de-optimised (at least in V8). From some simple\n // benchmarks the performance is comparable, but allowing\n // V8 to optimize may mean easy performance wins in the future.\n\n if (this._str) {\n return this._str\n }\n\n var str = this.final ? '1' : '0',\n labels = Object.keys(this.edges).sort(),\n len = labels.length\n\n for (var i = 0; i < len; i++) {\n var label = labels[i],\n node = this.edges[label]\n\n str = str + label + node.id\n }\n\n return str\n}\n\n/**\n * Returns a new TokenSet that is the intersection of\n * this TokenSet and the passed TokenSet.\n *\n * This intersection will take into account any wildcards\n * contained within the TokenSet.\n *\n * @param {lunr.TokenSet} b - An other TokenSet to intersect with.\n * @returns {lunr.TokenSet}\n */\nlunr.TokenSet.prototype.intersect = function (b) {\n var output = new lunr.TokenSet,\n frame = undefined\n\n var stack = [{\n qNode: b,\n output: output,\n node: this\n }]\n\n while (stack.length) {\n frame = stack.pop()\n\n // NOTE: As with the #toString method, we are using\n // Object.keys and a for loop instead of a for-in loop\n // as both of these objects enter 'hash' mode, causing\n // the function to be de-optimised in V8\n var qEdges = Object.keys(frame.qNode.edges),\n qLen = qEdges.length,\n nEdges = Object.keys(frame.node.edges),\n nLen = nEdges.length\n\n for (var q = 0; q < qLen; q++) {\n var qEdge = qEdges[q]\n\n for (var n = 0; n < nLen; n++) {\n var nEdge = nEdges[n]\n\n if (nEdge == qEdge || qEdge == '*') {\n var node = frame.node.edges[nEdge],\n qNode = frame.qNode.edges[qEdge],\n final = node.final && qNode.final,\n next = undefined\n\n if (nEdge in frame.output.edges) {\n // an edge already exists for this character\n // no need to create a new node, just set the finality\n // bit unless this node is already final\n next = frame.output.edges[nEdge]\n next.final = next.final || final\n\n } else {\n // no edge exists yet, must create one\n // set the finality bit and insert it\n // into the output\n next = new lunr.TokenSet\n next.final = final\n frame.output.edges[nEdge] = next\n }\n\n stack.push({\n qNode: qNode,\n output: next,\n node: node\n })\n }\n }\n }\n }\n\n return output\n}\nlunr.TokenSet.Builder = function () {\n this.previousWord = \"\"\n this.root = new lunr.TokenSet\n this.uncheckedNodes = []\n this.minimizedNodes = {}\n}\n\nlunr.TokenSet.Builder.prototype.insert = function (word) {\n var node,\n commonPrefix = 0\n\n if (word < this.previousWord) {\n throw new Error (\"Out of order word insertion\")\n }\n\n for (var i = 0; i < word.length && i < this.previousWord.length; i++) {\n if (word[i] != this.previousWord[i]) break\n commonPrefix++\n }\n\n this.minimize(commonPrefix)\n\n if (this.uncheckedNodes.length == 0) {\n node = this.root\n } else {\n node = this.uncheckedNodes[this.uncheckedNodes.length - 1].child\n }\n\n for (var i = commonPrefix; i < word.length; i++) {\n var nextNode = new lunr.TokenSet,\n char = word[i]\n\n node.edges[char] = nextNode\n\n this.uncheckedNodes.push({\n parent: node,\n char: char,\n child: nextNode\n })\n\n node = nextNode\n }\n\n node.final = true\n this.previousWord = word\n}\n\nlunr.TokenSet.Builder.prototype.finish = function () {\n this.minimize(0)\n}\n\nlunr.TokenSet.Builder.prototype.minimize = function (downTo) {\n for (var i = this.uncheckedNodes.length - 1; i >= downTo; i--) {\n var node = this.uncheckedNodes[i],\n childKey = node.child.toString()\n\n if (childKey in this.minimizedNodes) {\n node.parent.edges[node.char] = this.minimizedNodes[childKey]\n } else {\n // Cache the key for this node since\n // we know it can't change anymore\n node.child._str = childKey\n\n this.minimizedNodes[childKey] = node.child\n }\n\n this.uncheckedNodes.pop()\n }\n}\n/*!\n * lunr.Index\n * Copyright (C) 2020 Oliver Nightingale\n */\n\n/**\n * An index contains the built index of all documents and provides a query interface\n * to the index.\n *\n * Usually instances of lunr.Index will not be created using this constructor, instead\n * lunr.Builder should be used to construct new indexes, or lunr.Index.load should be\n * used to load previously built and serialized indexes.\n *\n * @constructor\n * @param {Object} attrs - The attributes of the built search index.\n * @param {Object} attrs.invertedIndex - An index of term/field to document reference.\n * @param {Object} attrs.fieldVectors - Field vectors\n * @param {lunr.TokenSet} attrs.tokenSet - An set of all corpus tokens.\n * @param {string[]} attrs.fields - The names of indexed document fields.\n * @param {lunr.Pipeline} attrs.pipeline - The pipeline to use for search terms.\n */\nlunr.Index = function (attrs) {\n this.invertedIndex = attrs.invertedIndex\n this.fieldVectors = attrs.fieldVectors\n this.tokenSet = attrs.tokenSet\n this.fields = attrs.fields\n this.pipeline = attrs.pipeline\n}\n\n/**\n * A result contains details of a document matching a search query.\n * @typedef {Object} lunr.Index~Result\n * @property {string} ref - The reference of the document this result represents.\n * @property {number} score - A number between 0 and 1 representing how similar this document is to the query.\n * @property {lunr.MatchData} matchData - Contains metadata about this match including which term(s) caused the match.\n */\n\n/**\n * Although lunr provides the ability to create queries using lunr.Query, it also provides a simple\n * query language which itself is parsed into an instance of lunr.Query.\n *\n * For programmatically building queries it is advised to directly use lunr.Query, the query language\n * is best used for human entered text rather than program generated text.\n *\n * At its simplest queries can just be a single term, e.g. `hello`, multiple terms are also supported\n * and will be combined with OR, e.g `hello world` will match documents that contain either 'hello'\n * or 'world', though those that contain both will rank higher in the results.\n *\n * Wildcards can be included in terms to match one or more unspecified characters, these wildcards can\n * be inserted anywhere within the term, and more than one wildcard can exist in a single term. Adding\n * wildcards will increase the number of documents that will be found but can also have a negative\n * impact on query performance, especially with wildcards at the beginning of a term.\n *\n * Terms can be restricted to specific fields, e.g. `title:hello`, only documents with the term\n * hello in the title field will match this query. Using a field not present in the index will lead\n * to an error being thrown.\n *\n * Modifiers can also be added to terms, lunr supports edit distance and boost modifiers on terms. A term\n * boost will make documents matching that term score higher, e.g. `foo^5`. Edit distance is also supported\n * to provide fuzzy matching, e.g. 'hello~2' will match documents with hello with an edit distance of 2.\n * Avoid large values for edit distance to improve query performance.\n *\n * Each term also supports a presence modifier. By default a term's presence in document is optional, however\n * this can be changed to either required or prohibited. For a term's presence to be required in a document the\n * term should be prefixed with a '+', e.g. `+foo bar` is a search for documents that must contain 'foo' and\n * optionally contain 'bar'. Conversely a leading '-' sets the terms presence to prohibited, i.e. it must not\n * appear in a document, e.g. `-foo bar` is a search for documents that do not contain 'foo' but may contain 'bar'.\n *\n * To escape special characters the backslash character '\\' can be used, this allows searches to include\n * characters that would normally be considered modifiers, e.g. `foo\\~2` will search for a term \"foo~2\" instead\n * of attempting to apply a boost of 2 to the search term \"foo\".\n *\n * @typedef {string} lunr.Index~QueryString\n * @example Simple single term query\n * hello\n * @example Multiple term query\n * hello world\n * @example term scoped to a field\n * title:hello\n * @example term with a boost of 10\n * hello^10\n * @example term with an edit distance of 2\n * hello~2\n * @example terms with presence modifiers\n * -foo +bar baz\n */\n\n/**\n * Performs a search against the index using lunr query syntax.\n *\n * Results will be returned sorted by their score, the most relevant results\n * will be returned first. For details on how the score is calculated, please see\n * the {@link https://lunrjs.com/guides/searching.html#scoring|guide}.\n *\n * For more programmatic querying use lunr.Index#query.\n *\n * @param {lunr.Index~QueryString} queryString - A string containing a lunr query.\n * @throws {lunr.QueryParseError} If the passed query string cannot be parsed.\n * @returns {lunr.Index~Result[]}\n */\nlunr.Index.prototype.search = function (queryString) {\n return this.query(function (query) {\n var parser = new lunr.QueryParser(queryString, query)\n parser.parse()\n })\n}\n\n/**\n * A query builder callback provides a query object to be used to express\n * the query to perform on the index.\n *\n * @callback lunr.Index~queryBuilder\n * @param {lunr.Query} query - The query object to build up.\n * @this lunr.Query\n */\n\n/**\n * Performs a query against the index using the yielded lunr.Query object.\n *\n * If performing programmatic queries against the index, this method is preferred\n * over lunr.Index#search so as to avoid the additional query parsing overhead.\n *\n * A query object is yielded to the supplied function which should be used to\n * express the query to be run against the index.\n *\n * Note that although this function takes a callback parameter it is _not_ an\n * asynchronous operation, the callback is just yielded a query object to be\n * customized.\n *\n * @param {lunr.Index~queryBuilder} fn - A function that is used to build the query.\n * @returns {lunr.Index~Result[]}\n */\nlunr.Index.prototype.query = function (fn) {\n // for each query clause\n // * process terms\n // * expand terms from token set\n // * find matching documents and metadata\n // * get document vectors\n // * score documents\n\n var query = new lunr.Query(this.fields),\n matchingFields = Object.create(null),\n queryVectors = Object.create(null),\n termFieldCache = Object.create(null),\n requiredMatches = Object.create(null),\n prohibitedMatches = Object.create(null)\n\n /*\n * To support field level boosts a query vector is created per\n * field. An empty vector is eagerly created to support negated\n * queries.\n */\n for (var i = 0; i < this.fields.length; i++) {\n queryVectors[this.fields[i]] = new lunr.Vector\n }\n\n fn.call(query, query)\n\n for (var i = 0; i < query.clauses.length; i++) {\n /*\n * Unless the pipeline has been disabled for this term, which is\n * the case for terms with wildcards, we need to pass the clause\n * term through the search pipeline. A pipeline returns an array\n * of processed terms. Pipeline functions may expand the passed\n * term, which means we may end up performing multiple index lookups\n * for a single query term.\n */\n var clause = query.clauses[i],\n terms = null,\n clauseMatches = lunr.Set.empty\n\n if (clause.usePipeline) {\n terms = this.pipeline.runString(clause.term, {\n fields: clause.fields\n })\n } else {\n terms = [clause.term]\n }\n\n for (var m = 0; m < terms.length; m++) {\n var term = terms[m]\n\n /*\n * Each term returned from the pipeline needs to use the same query\n * clause object, e.g. the same boost and or edit distance. The\n * simplest way to do this is to re-use the clause object but mutate\n * its term property.\n */\n clause.term = term\n\n /*\n * From the term in the clause we create a token set which will then\n * be used to intersect the indexes token set to get a list of terms\n * to lookup in the inverted index\n */\n var termTokenSet = lunr.TokenSet.fromClause(clause),\n expandedTerms = this.tokenSet.intersect(termTokenSet).toArray()\n\n /*\n * If a term marked as required does not exist in the tokenSet it is\n * impossible for the search to return any matches. We set all the field\n * scoped required matches set to empty and stop examining any further\n * clauses.\n */\n if (expandedTerms.length === 0 && clause.presence === lunr.Query.presence.REQUIRED) {\n for (var k = 0; k < clause.fields.length; k++) {\n var field = clause.fields[k]\n requiredMatches[field] = lunr.Set.empty\n }\n\n break\n }\n\n for (var j = 0; j < expandedTerms.length; j++) {\n /*\n * For each term get the posting and termIndex, this is required for\n * building the query vector.\n */\n var expandedTerm = expandedTerms[j],\n posting = this.invertedIndex[expandedTerm],\n termIndex = posting._index\n\n for (var k = 0; k < clause.fields.length; k++) {\n /*\n * For each field that this query term is scoped by (by default\n * all fields are in scope) we need to get all the document refs\n * that have this term in that field.\n *\n * The posting is the entry in the invertedIndex for the matching\n * term from above.\n */\n var field = clause.fields[k],\n fieldPosting = posting[field],\n matchingDocumentRefs = Object.keys(fieldPosting),\n termField = expandedTerm + \"/\" + field,\n matchingDocumentsSet = new lunr.Set(matchingDocumentRefs)\n\n /*\n * if the presence of this term is required ensure that the matching\n * documents are added to the set of required matches for this clause.\n *\n */\n if (clause.presence == lunr.Query.presence.REQUIRED) {\n clauseMatches = clauseMatches.union(matchingDocumentsSet)\n\n if (requiredMatches[field] === undefined) {\n requiredMatches[field] = lunr.Set.complete\n }\n }\n\n /*\n * if the presence of this term is prohibited ensure that the matching\n * documents are added to the set of prohibited matches for this field,\n * creating that set if it does not yet exist.\n */\n if (clause.presence == lunr.Query.presence.PROHIBITED) {\n if (prohibitedMatches[field] === undefined) {\n prohibitedMatches[field] = lunr.Set.empty\n }\n\n prohibitedMatches[field] = prohibitedMatches[field].union(matchingDocumentsSet)\n\n /*\n * Prohibited matches should not be part of the query vector used for\n * similarity scoring and no metadata should be extracted so we continue\n * to the next field\n */\n continue\n }\n\n /*\n * The query field vector is populated using the termIndex found for\n * the term and a unit value with the appropriate boost applied.\n * Using upsert because there could already be an entry in the vector\n * for the term we are working with. In that case we just add the scores\n * together.\n */\n queryVectors[field].upsert(termIndex, clause.boost, function (a, b) { return a + b })\n\n /**\n * If we've already seen this term, field combo then we've already collected\n * the matching documents and metadata, no need to go through all that again\n */\n if (termFieldCache[termField]) {\n continue\n }\n\n for (var l = 0; l < matchingDocumentRefs.length; l++) {\n /*\n * All metadata for this term/field/document triple\n * are then extracted and collected into an instance\n * of lunr.MatchData ready to be returned in the query\n * results\n */\n var matchingDocumentRef = matchingDocumentRefs[l],\n matchingFieldRef = new lunr.FieldRef (matchingDocumentRef, field),\n metadata = fieldPosting[matchingDocumentRef],\n fieldMatch\n\n if ((fieldMatch = matchingFields[matchingFieldRef]) === undefined) {\n matchingFields[matchingFieldRef] = new lunr.MatchData (expandedTerm, field, metadata)\n } else {\n fieldMatch.add(expandedTerm, field, metadata)\n }\n\n }\n\n termFieldCache[termField] = true\n }\n }\n }\n\n /**\n * If the presence was required we need to update the requiredMatches field sets.\n * We do this after all fields for the term have collected their matches because\n * the clause terms presence is required in _any_ of the fields not _all_ of the\n * fields.\n */\n if (clause.presence === lunr.Query.presence.REQUIRED) {\n for (var k = 0; k < clause.fields.length; k++) {\n var field = clause.fields[k]\n requiredMatches[field] = requiredMatches[field].intersect(clauseMatches)\n }\n }\n }\n\n /**\n * Need to combine the field scoped required and prohibited\n * matching documents into a global set of required and prohibited\n * matches\n */\n var allRequiredMatches = lunr.Set.complete,\n allProhibitedMatches = lunr.Set.empty\n\n for (var i = 0; i < this.fields.length; i++) {\n var field = this.fields[i]\n\n if (requiredMatches[field]) {\n allRequiredMatches = allRequiredMatches.intersect(requiredMatches[field])\n }\n\n if (prohibitedMatches[field]) {\n allProhibitedMatches = allProhibitedMatches.union(prohibitedMatches[field])\n }\n }\n\n var matchingFieldRefs = Object.keys(matchingFields),\n results = [],\n matches = Object.create(null)\n\n /*\n * If the query is negated (contains only prohibited terms)\n * we need to get _all_ fieldRefs currently existing in the\n * index. This is only done when we know that the query is\n * entirely prohibited terms to avoid any cost of getting all\n * fieldRefs unnecessarily.\n *\n * Additionally, blank MatchData must be created to correctly\n * populate the results.\n */\n if (query.isNegated()) {\n matchingFieldRefs = Object.keys(this.fieldVectors)\n\n for (var i = 0; i < matchingFieldRefs.length; i++) {\n var matchingFieldRef = matchingFieldRefs[i]\n var fieldRef = lunr.FieldRef.fromString(matchingFieldRef)\n matchingFields[matchingFieldRef] = new lunr.MatchData\n }\n }\n\n for (var i = 0; i < matchingFieldRefs.length; i++) {\n /*\n * Currently we have document fields that match the query, but we\n * need to return documents. The matchData and scores are combined\n * from multiple fields belonging to the same document.\n *\n * Scores are calculated by field, using the query vectors created\n * above, and combined into a final document score using addition.\n */\n var fieldRef = lunr.FieldRef.fromString(matchingFieldRefs[i]),\n docRef = fieldRef.docRef\n\n if (!allRequiredMatches.contains(docRef)) {\n continue\n }\n\n if (allProhibitedMatches.contains(docRef)) {\n continue\n }\n\n var fieldVector = this.fieldVectors[fieldRef],\n score = queryVectors[fieldRef.fieldName].similarity(fieldVector),\n docMatch\n\n if ((docMatch = matches[docRef]) !== undefined) {\n docMatch.score += score\n docMatch.matchData.combine(matchingFields[fieldRef])\n } else {\n var match = {\n ref: docRef,\n score: score,\n matchData: matchingFields[fieldRef]\n }\n matches[docRef] = match\n results.push(match)\n }\n }\n\n /*\n * Sort the results objects by score, highest first.\n */\n return results.sort(function (a, b) {\n return b.score - a.score\n })\n}\n\n/**\n * Prepares the index for JSON serialization.\n *\n * The schema for this JSON blob will be described in a\n * separate JSON schema file.\n *\n * @returns {Object}\n */\nlunr.Index.prototype.toJSON = function () {\n var invertedIndex = Object.keys(this.invertedIndex)\n .sort()\n .map(function (term) {\n return [term, this.invertedIndex[term]]\n }, this)\n\n var fieldVectors = Object.keys(this.fieldVectors)\n .map(function (ref) {\n return [ref, this.fieldVectors[ref].toJSON()]\n }, this)\n\n return {\n version: lunr.version,\n fields: this.fields,\n fieldVectors: fieldVectors,\n invertedIndex: invertedIndex,\n pipeline: this.pipeline.toJSON()\n }\n}\n\n/**\n * Loads a previously serialized lunr.Index\n *\n * @param {Object} serializedIndex - A previously serialized lunr.Index\n * @returns {lunr.Index}\n */\nlunr.Index.load = function (serializedIndex) {\n var attrs = {},\n fieldVectors = {},\n serializedVectors = serializedIndex.fieldVectors,\n invertedIndex = Object.create(null),\n serializedInvertedIndex = serializedIndex.invertedIndex,\n tokenSetBuilder = new lunr.TokenSet.Builder,\n pipeline = lunr.Pipeline.load(serializedIndex.pipeline)\n\n if (serializedIndex.version != lunr.version) {\n lunr.utils.warn(\"Version mismatch when loading serialised index. Current version of lunr '\" + lunr.version + \"' does not match serialized index '\" + serializedIndex.version + \"'\")\n }\n\n for (var i = 0; i < serializedVectors.length; i++) {\n var tuple = serializedVectors[i],\n ref = tuple[0],\n elements = tuple[1]\n\n fieldVectors[ref] = new lunr.Vector(elements)\n }\n\n for (var i = 0; i < serializedInvertedIndex.length; i++) {\n var tuple = serializedInvertedIndex[i],\n term = tuple[0],\n posting = tuple[1]\n\n tokenSetBuilder.insert(term)\n invertedIndex[term] = posting\n }\n\n tokenSetBuilder.finish()\n\n attrs.fields = serializedIndex.fields\n\n attrs.fieldVectors = fieldVectors\n attrs.invertedIndex = invertedIndex\n attrs.tokenSet = tokenSetBuilder.root\n attrs.pipeline = pipeline\n\n return new lunr.Index(attrs)\n}\n/*!\n * lunr.Builder\n * Copyright (C) 2020 Oliver Nightingale\n */\n\n/**\n * lunr.Builder performs indexing on a set of documents and\n * returns instances of lunr.Index ready for querying.\n *\n * All configuration of the index is done via the builder, the\n * fields to index, the document reference, the text processing\n * pipeline and document scoring parameters are all set on the\n * builder before indexing.\n *\n * @constructor\n * @property {string} _ref - Internal reference to the document reference field.\n * @property {string[]} _fields - Internal reference to the document fields to index.\n * @property {object} invertedIndex - The inverted index maps terms to document fields.\n * @property {object} documentTermFrequencies - Keeps track of document term frequencies.\n * @property {object} documentLengths - Keeps track of the length of documents added to the index.\n * @property {lunr.tokenizer} tokenizer - Function for splitting strings into tokens for indexing.\n * @property {lunr.Pipeline} pipeline - The pipeline performs text processing on tokens before indexing.\n * @property {lunr.Pipeline} searchPipeline - A pipeline for processing search terms before querying the index.\n * @property {number} documentCount - Keeps track of the total number of documents indexed.\n * @property {number} _b - A parameter to control field length normalization, setting this to 0 disabled normalization, 1 fully normalizes field lengths, the default value is 0.75.\n * @property {number} _k1 - A parameter to control how quickly an increase in term frequency results in term frequency saturation, the default value is 1.2.\n * @property {number} termIndex - A counter incremented for each unique term, used to identify a terms position in the vector space.\n * @property {array} metadataWhitelist - A list of metadata keys that have been whitelisted for entry in the index.\n */\nlunr.Builder = function () {\n this._ref = \"id\"\n this._fields = Object.create(null)\n this._documents = Object.create(null)\n this.invertedIndex = Object.create(null)\n this.fieldTermFrequencies = {}\n this.fieldLengths = {}\n this.tokenizer = lunr.tokenizer\n this.pipeline = new lunr.Pipeline\n this.searchPipeline = new lunr.Pipeline\n this.documentCount = 0\n this._b = 0.75\n this._k1 = 1.2\n this.termIndex = 0\n this.metadataWhitelist = []\n}\n\n/**\n * Sets the document field used as the document reference. Every document must have this field.\n * The type of this field in the document should be a string, if it is not a string it will be\n * coerced into a string by calling toString.\n *\n * The default ref is 'id'.\n *\n * The ref should _not_ be changed during indexing, it should be set before any documents are\n * added to the index. Changing it during indexing can lead to inconsistent results.\n *\n * @param {string} ref - The name of the reference field in the document.\n */\nlunr.Builder.prototype.ref = function (ref) {\n this._ref = ref\n}\n\n/**\n * A function that is used to extract a field from a document.\n *\n * Lunr expects a field to be at the top level of a document, if however the field\n * is deeply nested within a document an extractor function can be used to extract\n * the right field for indexing.\n *\n * @callback fieldExtractor\n * @param {object} doc - The document being added to the index.\n * @returns {?(string|object|object[])} obj - The object that will be indexed for this field.\n * @example Extracting a nested field\n * function (doc) { return doc.nested.field }\n */\n\n/**\n * Adds a field to the list of document fields that will be indexed. Every document being\n * indexed should have this field. Null values for this field in indexed documents will\n * not cause errors but will limit the chance of that document being retrieved by searches.\n *\n * All fields should be added before adding documents to the index. Adding fields after\n * a document has been indexed will have no effect on already indexed documents.\n *\n * Fields can be boosted at build time. This allows terms within that field to have more\n * importance when ranking search results. Use a field boost to specify that matches within\n * one field are more important than other fields.\n *\n * @param {string} fieldName - The name of a field to index in all documents.\n * @param {object} attributes - Optional attributes associated with this field.\n * @param {number} [attributes.boost=1] - Boost applied to all terms within this field.\n * @param {fieldExtractor} [attributes.extractor] - Function to extract a field from a document.\n * @throws {RangeError} fieldName cannot contain unsupported characters '/'\n */\nlunr.Builder.prototype.field = function (fieldName, attributes) {\n if (/\\//.test(fieldName)) {\n throw new RangeError (\"Field '\" + fieldName + \"' contains illegal character '/'\")\n }\n\n this._fields[fieldName] = attributes || {}\n}\n\n/**\n * A parameter to tune the amount of field length normalisation that is applied when\n * calculating relevance scores. A value of 0 will completely disable any normalisation\n * and a value of 1 will fully normalise field lengths. The default is 0.75. Values of b\n * will be clamped to the range 0 - 1.\n *\n * @param {number} number - The value to set for this tuning parameter.\n */\nlunr.Builder.prototype.b = function (number) {\n if (number < 0) {\n this._b = 0\n } else if (number > 1) {\n this._b = 1\n } else {\n this._b = number\n }\n}\n\n/**\n * A parameter that controls the speed at which a rise in term frequency results in term\n * frequency saturation. The default value is 1.2. Setting this to a higher value will give\n * slower saturation levels, a lower value will result in quicker saturation.\n *\n * @param {number} number - The value to set for this tuning parameter.\n */\nlunr.Builder.prototype.k1 = function (number) {\n this._k1 = number\n}\n\n/**\n * Adds a document to the index.\n *\n * Before adding fields to the index the index should have been fully setup, with the document\n * ref and all fields to index already having been specified.\n *\n * The document must have a field name as specified by the ref (by default this is 'id') and\n * it should have all fields defined for indexing, though null or undefined values will not\n * cause errors.\n *\n * Entire documents can be boosted at build time. Applying a boost to a document indicates that\n * this document should rank higher in search results than other documents.\n *\n * @param {object} doc - The document to add to the index.\n * @param {object} attributes - Optional attributes associated with this document.\n * @param {number} [attributes.boost=1] - Boost applied to all terms within this document.\n */\nlunr.Builder.prototype.add = function (doc, attributes) {\n var docRef = doc[this._ref],\n fields = Object.keys(this._fields)\n\n this._documents[docRef] = attributes || {}\n this.documentCount += 1\n\n for (var i = 0; i < fields.length; i++) {\n var fieldName = fields[i],\n extractor = this._fields[fieldName].extractor,\n field = extractor ? extractor(doc) : doc[fieldName],\n tokens = this.tokenizer(field, {\n fields: [fieldName]\n }),\n terms = this.pipeline.run(tokens),\n fieldRef = new lunr.FieldRef (docRef, fieldName),\n fieldTerms = Object.create(null)\n\n this.fieldTermFrequencies[fieldRef] = fieldTerms\n this.fieldLengths[fieldRef] = 0\n\n // store the length of this field for this document\n this.fieldLengths[fieldRef] += terms.length\n\n // calculate term frequencies for this field\n for (var j = 0; j < terms.length; j++) {\n var term = terms[j]\n\n if (fieldTerms[term] == undefined) {\n fieldTerms[term] = 0\n }\n\n fieldTerms[term] += 1\n\n // add to inverted index\n // create an initial posting if one doesn't exist\n if (this.invertedIndex[term] == undefined) {\n var posting = Object.create(null)\n posting[\"_index\"] = this.termIndex\n this.termIndex += 1\n\n for (var k = 0; k < fields.length; k++) {\n posting[fields[k]] = Object.create(null)\n }\n\n this.invertedIndex[term] = posting\n }\n\n // add an entry for this term/fieldName/docRef to the invertedIndex\n if (this.invertedIndex[term][fieldName][docRef] == undefined) {\n this.invertedIndex[term][fieldName][docRef] = Object.create(null)\n }\n\n // store all whitelisted metadata about this token in the\n // inverted index\n for (var l = 0; l < this.metadataWhitelist.length; l++) {\n var metadataKey = this.metadataWhitelist[l],\n metadata = term.metadata[metadataKey]\n\n if (this.invertedIndex[term][fieldName][docRef][metadataKey] == undefined) {\n this.invertedIndex[term][fieldName][docRef][metadataKey] = []\n }\n\n this.invertedIndex[term][fieldName][docRef][metadataKey].push(metadata)\n }\n }\n\n }\n}\n\n/**\n * Calculates the average document length for this index\n *\n * @private\n */\nlunr.Builder.prototype.calculateAverageFieldLengths = function () {\n\n var fieldRefs = Object.keys(this.fieldLengths),\n numberOfFields = fieldRefs.length,\n accumulator = {},\n documentsWithField = {}\n\n for (var i = 0; i < numberOfFields; i++) {\n var fieldRef = lunr.FieldRef.fromString(fieldRefs[i]),\n field = fieldRef.fieldName\n\n documentsWithField[field] || (documentsWithField[field] = 0)\n documentsWithField[field] += 1\n\n accumulator[field] || (accumulator[field] = 0)\n accumulator[field] += this.fieldLengths[fieldRef]\n }\n\n var fields = Object.keys(this._fields)\n\n for (var i = 0; i < fields.length; i++) {\n var fieldName = fields[i]\n accumulator[fieldName] = accumulator[fieldName] / documentsWithField[fieldName]\n }\n\n this.averageFieldLength = accumulator\n}\n\n/**\n * Builds a vector space model of every document using lunr.Vector\n *\n * @private\n */\nlunr.Builder.prototype.createFieldVectors = function () {\n var fieldVectors = {},\n fieldRefs = Object.keys(this.fieldTermFrequencies),\n fieldRefsLength = fieldRefs.length,\n termIdfCache = Object.create(null)\n\n for (var i = 0; i < fieldRefsLength; i++) {\n var fieldRef = lunr.FieldRef.fromString(fieldRefs[i]),\n fieldName = fieldRef.fieldName,\n fieldLength = this.fieldLengths[fieldRef],\n fieldVector = new lunr.Vector,\n termFrequencies = this.fieldTermFrequencies[fieldRef],\n terms = Object.keys(termFrequencies),\n termsLength = terms.length\n\n\n var fieldBoost = this._fields[fieldName].boost || 1,\n docBoost = this._documents[fieldRef.docRef].boost || 1\n\n for (var j = 0; j < termsLength; j++) {\n var term = terms[j],\n tf = termFrequencies[term],\n termIndex = this.invertedIndex[term]._index,\n idf, score, scoreWithPrecision\n\n if (termIdfCache[term] === undefined) {\n idf = lunr.idf(this.invertedIndex[term], this.documentCount)\n termIdfCache[term] = idf\n } else {\n idf = termIdfCache[term]\n }\n\n score = idf * ((this._k1 + 1) * tf) / (this._k1 * (1 - this._b + this._b * (fieldLength / this.averageFieldLength[fieldName])) + tf)\n score *= fieldBoost\n score *= docBoost\n scoreWithPrecision = Math.round(score * 1000) / 1000\n // Converts 1.23456789 to 1.234.\n // Reducing the precision so that the vectors take up less\n // space when serialised. Doing it now so that they behave\n // the same before and after serialisation. Also, this is\n // the fastest approach to reducing a number's precision in\n // JavaScript.\n\n fieldVector.insert(termIndex, scoreWithPrecision)\n }\n\n fieldVectors[fieldRef] = fieldVector\n }\n\n this.fieldVectors = fieldVectors\n}\n\n/**\n * Creates a token set of all tokens in the index using lunr.TokenSet\n *\n * @private\n */\nlunr.Builder.prototype.createTokenSet = function () {\n this.tokenSet = lunr.TokenSet.fromArray(\n Object.keys(this.invertedIndex).sort()\n )\n}\n\n/**\n * Builds the index, creating an instance of lunr.Index.\n *\n * This completes the indexing process and should only be called\n * once all documents have been added to the index.\n *\n * @returns {lunr.Index}\n */\nlunr.Builder.prototype.build = function () {\n this.calculateAverageFieldLengths()\n this.createFieldVectors()\n this.createTokenSet()\n\n return new lunr.Index({\n invertedIndex: this.invertedIndex,\n fieldVectors: this.fieldVectors,\n tokenSet: this.tokenSet,\n fields: Object.keys(this._fields),\n pipeline: this.searchPipeline\n })\n}\n\n/**\n * Applies a plugin to the index builder.\n *\n * A plugin is a function that is called with the index builder as its context.\n * Plugins can be used to customise or extend the behaviour of the index\n * in some way. A plugin is just a function, that encapsulated the custom\n * behaviour that should be applied when building the index.\n *\n * The plugin function will be called with the index builder as its argument, additional\n * arguments can also be passed when calling use. The function will be called\n * with the index builder as its context.\n *\n * @param {Function} plugin The plugin to apply.\n */\nlunr.Builder.prototype.use = function (fn) {\n var args = Array.prototype.slice.call(arguments, 1)\n args.unshift(this)\n fn.apply(this, args)\n}\n/**\n * Contains and collects metadata about a matching document.\n * A single instance of lunr.MatchData is returned as part of every\n * lunr.Index~Result.\n *\n * @constructor\n * @param {string} term - The term this match data is associated with\n * @param {string} field - The field in which the term was found\n * @param {object} metadata - The metadata recorded about this term in this field\n * @property {object} metadata - A cloned collection of metadata associated with this document.\n * @see {@link lunr.Index~Result}\n */\nlunr.MatchData = function (term, field, metadata) {\n var clonedMetadata = Object.create(null),\n metadataKeys = Object.keys(metadata || {})\n\n // Cloning the metadata to prevent the original\n // being mutated during match data combination.\n // Metadata is kept in an array within the inverted\n // index so cloning the data can be done with\n // Array#slice\n for (var i = 0; i < metadataKeys.length; i++) {\n var key = metadataKeys[i]\n clonedMetadata[key] = metadata[key].slice()\n }\n\n this.metadata = Object.create(null)\n\n if (term !== undefined) {\n this.metadata[term] = Object.create(null)\n this.metadata[term][field] = clonedMetadata\n }\n}\n\n/**\n * An instance of lunr.MatchData will be created for every term that matches a\n * document. However only one instance is required in a lunr.Index~Result. This\n * method combines metadata from another instance of lunr.MatchData with this\n * objects metadata.\n *\n * @param {lunr.MatchData} otherMatchData - Another instance of match data to merge with this one.\n * @see {@link lunr.Index~Result}\n */\nlunr.MatchData.prototype.combine = function (otherMatchData) {\n var terms = Object.keys(otherMatchData.metadata)\n\n for (var i = 0; i < terms.length; i++) {\n var term = terms[i],\n fields = Object.keys(otherMatchData.metadata[term])\n\n if (this.metadata[term] == undefined) {\n this.metadata[term] = Object.create(null)\n }\n\n for (var j = 0; j < fields.length; j++) {\n var field = fields[j],\n keys = Object.keys(otherMatchData.metadata[term][field])\n\n if (this.metadata[term][field] == undefined) {\n this.metadata[term][field] = Object.create(null)\n }\n\n for (var k = 0; k < keys.length; k++) {\n var key = keys[k]\n\n if (this.metadata[term][field][key] == undefined) {\n this.metadata[term][field][key] = otherMatchData.metadata[term][field][key]\n } else {\n this.metadata[term][field][key] = this.metadata[term][field][key].concat(otherMatchData.metadata[term][field][key])\n }\n\n }\n }\n }\n}\n\n/**\n * Add metadata for a term/field pair to this instance of match data.\n *\n * @param {string} term - The term this match data is associated with\n * @param {string} field - The field in which the term was found\n * @param {object} metadata - The metadata recorded about this term in this field\n */\nlunr.MatchData.prototype.add = function (term, field, metadata) {\n if (!(term in this.metadata)) {\n this.metadata[term] = Object.create(null)\n this.metadata[term][field] = metadata\n return\n }\n\n if (!(field in this.metadata[term])) {\n this.metadata[term][field] = metadata\n return\n }\n\n var metadataKeys = Object.keys(metadata)\n\n for (var i = 0; i < metadataKeys.length; i++) {\n var key = metadataKeys[i]\n\n if (key in this.metadata[term][field]) {\n this.metadata[term][field][key] = this.metadata[term][field][key].concat(metadata[key])\n } else {\n this.metadata[term][field][key] = metadata[key]\n }\n }\n}\n/**\n * A lunr.Query provides a programmatic way of defining queries to be performed\n * against a {@link lunr.Index}.\n *\n * Prefer constructing a lunr.Query using the {@link lunr.Index#query} method\n * so the query object is pre-initialized with the right index fields.\n *\n * @constructor\n * @property {lunr.Query~Clause[]} clauses - An array of query clauses.\n * @property {string[]} allFields - An array of all available fields in a lunr.Index.\n */\nlunr.Query = function (allFields) {\n this.clauses = []\n this.allFields = allFields\n}\n\n/**\n * Constants for indicating what kind of automatic wildcard insertion will be used when constructing a query clause.\n *\n * This allows wildcards to be added to the beginning and end of a term without having to manually do any string\n * concatenation.\n *\n * The wildcard constants can be bitwise combined to select both leading and trailing wildcards.\n *\n * @constant\n * @default\n * @property {number} wildcard.NONE - The term will have no wildcards inserted, this is the default behaviour\n * @property {number} wildcard.LEADING - Prepend the term with a wildcard, unless a leading wildcard already exists\n * @property {number} wildcard.TRAILING - Append a wildcard to the term, unless a trailing wildcard already exists\n * @see lunr.Query~Clause\n * @see lunr.Query#clause\n * @see lunr.Query#term\n * @example query term with trailing wildcard\n * query.term('foo', { wildcard: lunr.Query.wildcard.TRAILING })\n * @example query term with leading and trailing wildcard\n * query.term('foo', {\n * wildcard: lunr.Query.wildcard.LEADING | lunr.Query.wildcard.TRAILING\n * })\n */\n\nlunr.Query.wildcard = new String (\"*\")\nlunr.Query.wildcard.NONE = 0\nlunr.Query.wildcard.LEADING = 1\nlunr.Query.wildcard.TRAILING = 2\n\n/**\n * Constants for indicating what kind of presence a term must have in matching documents.\n *\n * @constant\n * @enum {number}\n * @see lunr.Query~Clause\n * @see lunr.Query#clause\n * @see lunr.Query#term\n * @example query term with required presence\n * query.term('foo', { presence: lunr.Query.presence.REQUIRED })\n */\nlunr.Query.presence = {\n /**\n * Term's presence in a document is optional, this is the default value.\n */\n OPTIONAL: 1,\n\n /**\n * Term's presence in a document is required, documents that do not contain\n * this term will not be returned.\n */\n REQUIRED: 2,\n\n /**\n * Term's presence in a document is prohibited, documents that do contain\n * this term will not be returned.\n */\n PROHIBITED: 3\n}\n\n/**\n * A single clause in a {@link lunr.Query} contains a term and details on how to\n * match that term against a {@link lunr.Index}.\n *\n * @typedef {Object} lunr.Query~Clause\n * @property {string[]} fields - The fields in an index this clause should be matched against.\n * @property {number} [boost=1] - Any boost that should be applied when matching this clause.\n * @property {number} [editDistance] - Whether the term should have fuzzy matching applied, and how fuzzy the match should be.\n * @property {boolean} [usePipeline] - Whether the term should be passed through the search pipeline.\n * @property {number} [wildcard=lunr.Query.wildcard.NONE] - Whether the term should have wildcards appended or prepended.\n * @property {number} [presence=lunr.Query.presence.OPTIONAL] - The terms presence in any matching documents.\n */\n\n/**\n * Adds a {@link lunr.Query~Clause} to this query.\n *\n * Unless the clause contains the fields to be matched all fields will be matched. In addition\n * a default boost of 1 is applied to the clause.\n *\n * @param {lunr.Query~Clause} clause - The clause to add to this query.\n * @see lunr.Query~Clause\n * @returns {lunr.Query}\n */\nlunr.Query.prototype.clause = function (clause) {\n if (!('fields' in clause)) {\n clause.fields = this.allFields\n }\n\n if (!('boost' in clause)) {\n clause.boost = 1\n }\n\n if (!('usePipeline' in clause)) {\n clause.usePipeline = true\n }\n\n if (!('wildcard' in clause)) {\n clause.wildcard = lunr.Query.wildcard.NONE\n }\n\n if ((clause.wildcard & lunr.Query.wildcard.LEADING) && (clause.term.charAt(0) != lunr.Query.wildcard)) {\n clause.term = \"*\" + clause.term\n }\n\n if ((clause.wildcard & lunr.Query.wildcard.TRAILING) && (clause.term.slice(-1) != lunr.Query.wildcard)) {\n clause.term = \"\" + clause.term + \"*\"\n }\n\n if (!('presence' in clause)) {\n clause.presence = lunr.Query.presence.OPTIONAL\n }\n\n this.clauses.push(clause)\n\n return this\n}\n\n/**\n * A negated query is one in which every clause has a presence of\n * prohibited. These queries require some special processing to return\n * the expected results.\n *\n * @returns boolean\n */\nlunr.Query.prototype.isNegated = function () {\n for (var i = 0; i < this.clauses.length; i++) {\n if (this.clauses[i].presence != lunr.Query.presence.PROHIBITED) {\n return false\n }\n }\n\n return true\n}\n\n/**\n * Adds a term to the current query, under the covers this will create a {@link lunr.Query~Clause}\n * to the list of clauses that make up this query.\n *\n * The term is used as is, i.e. no tokenization will be performed by this method. Instead conversion\n * to a token or token-like string should be done before calling this method.\n *\n * The term will be converted to a string by calling `toString`. Multiple terms can be passed as an\n * array, each term in the array will share the same options.\n *\n * @param {object|object[]} term - The term(s) to add to the query.\n * @param {object} [options] - Any additional properties to add to the query clause.\n * @returns {lunr.Query}\n * @see lunr.Query#clause\n * @see lunr.Query~Clause\n * @example adding a single term to a query\n * query.term(\"foo\")\n * @example adding a single term to a query and specifying search fields, term boost and automatic trailing wildcard\n * query.term(\"foo\", {\n * fields: [\"title\"],\n * boost: 10,\n * wildcard: lunr.Query.wildcard.TRAILING\n * })\n * @example using lunr.tokenizer to convert a string to tokens before using them as terms\n * query.term(lunr.tokenizer(\"foo bar\"))\n */\nlunr.Query.prototype.term = function (term, options) {\n if (Array.isArray(term)) {\n term.forEach(function (t) { this.term(t, lunr.utils.clone(options)) }, this)\n return this\n }\n\n var clause = options || {}\n clause.term = term.toString()\n\n this.clause(clause)\n\n return this\n}\nlunr.QueryParseError = function (message, start, end) {\n this.name = \"QueryParseError\"\n this.message = message\n this.start = start\n this.end = end\n}\n\nlunr.QueryParseError.prototype = new Error\nlunr.QueryLexer = function (str) {\n this.lexemes = []\n this.str = str\n this.length = str.length\n this.pos = 0\n this.start = 0\n this.escapeCharPositions = []\n}\n\nlunr.QueryLexer.prototype.run = function () {\n var state = lunr.QueryLexer.lexText\n\n while (state) {\n state = state(this)\n }\n}\n\nlunr.QueryLexer.prototype.sliceString = function () {\n var subSlices = [],\n sliceStart = this.start,\n sliceEnd = this.pos\n\n for (var i = 0; i < this.escapeCharPositions.length; i++) {\n sliceEnd = this.escapeCharPositions[i]\n subSlices.push(this.str.slice(sliceStart, sliceEnd))\n sliceStart = sliceEnd + 1\n }\n\n subSlices.push(this.str.slice(sliceStart, this.pos))\n this.escapeCharPositions.length = 0\n\n return subSlices.join('')\n}\n\nlunr.QueryLexer.prototype.emit = function (type) {\n this.lexemes.push({\n type: type,\n str: this.sliceString(),\n start: this.start,\n end: this.pos\n })\n\n this.start = this.pos\n}\n\nlunr.QueryLexer.prototype.escapeCharacter = function () {\n this.escapeCharPositions.push(this.pos - 1)\n this.pos += 1\n}\n\nlunr.QueryLexer.prototype.next = function () {\n if (this.pos >= this.length) {\n return lunr.QueryLexer.EOS\n }\n\n var char = this.str.charAt(this.pos)\n this.pos += 1\n return char\n}\n\nlunr.QueryLexer.prototype.width = function () {\n return this.pos - this.start\n}\n\nlunr.QueryLexer.prototype.ignore = function () {\n if (this.start == this.pos) {\n this.pos += 1\n }\n\n this.start = this.pos\n}\n\nlunr.QueryLexer.prototype.backup = function () {\n this.pos -= 1\n}\n\nlunr.QueryLexer.prototype.acceptDigitRun = function () {\n var char, charCode\n\n do {\n char = this.next()\n charCode = char.charCodeAt(0)\n } while (charCode > 47 && charCode < 58)\n\n if (char != lunr.QueryLexer.EOS) {\n this.backup()\n }\n}\n\nlunr.QueryLexer.prototype.more = function () {\n return this.pos < this.length\n}\n\nlunr.QueryLexer.EOS = 'EOS'\nlunr.QueryLexer.FIELD = 'FIELD'\nlunr.QueryLexer.TERM = 'TERM'\nlunr.QueryLexer.EDIT_DISTANCE = 'EDIT_DISTANCE'\nlunr.QueryLexer.BOOST = 'BOOST'\nlunr.QueryLexer.PRESENCE = 'PRESENCE'\n\nlunr.QueryLexer.lexField = function (lexer) {\n lexer.backup()\n lexer.emit(lunr.QueryLexer.FIELD)\n lexer.ignore()\n return lunr.QueryLexer.lexText\n}\n\nlunr.QueryLexer.lexTerm = function (lexer) {\n if (lexer.width() > 1) {\n lexer.backup()\n lexer.emit(lunr.QueryLexer.TERM)\n }\n\n lexer.ignore()\n\n if (lexer.more()) {\n return lunr.QueryLexer.lexText\n }\n}\n\nlunr.QueryLexer.lexEditDistance = function (lexer) {\n lexer.ignore()\n lexer.acceptDigitRun()\n lexer.emit(lunr.QueryLexer.EDIT_DISTANCE)\n return lunr.QueryLexer.lexText\n}\n\nlunr.QueryLexer.lexBoost = function (lexer) {\n lexer.ignore()\n lexer.acceptDigitRun()\n lexer.emit(lunr.QueryLexer.BOOST)\n return lunr.QueryLexer.lexText\n}\n\nlunr.QueryLexer.lexEOS = function (lexer) {\n if (lexer.width() > 0) {\n lexer.emit(lunr.QueryLexer.TERM)\n }\n}\n\n// This matches the separator used when tokenising fields\n// within a document. These should match otherwise it is\n// not possible to search for some tokens within a document.\n//\n// It is possible for the user to change the separator on the\n// tokenizer so it _might_ clash with any other of the special\n// characters already used within the search string, e.g. :.\n//\n// This means that it is possible to change the separator in\n// such a way that makes some words unsearchable using a search\n// string.\nlunr.QueryLexer.termSeparator = lunr.tokenizer.separator\n\nlunr.QueryLexer.lexText = function (lexer) {\n while (true) {\n var char = lexer.next()\n\n if (char == lunr.QueryLexer.EOS) {\n return lunr.QueryLexer.lexEOS\n }\n\n // Escape character is '\\'\n if (char.charCodeAt(0) == 92) {\n lexer.escapeCharacter()\n continue\n }\n\n if (char == \":\") {\n return lunr.QueryLexer.lexField\n }\n\n if (char == \"~\") {\n lexer.backup()\n if (lexer.width() > 0) {\n lexer.emit(lunr.QueryLexer.TERM)\n }\n return lunr.QueryLexer.lexEditDistance\n }\n\n if (char == \"^\") {\n lexer.backup()\n if (lexer.width() > 0) {\n lexer.emit(lunr.QueryLexer.TERM)\n }\n return lunr.QueryLexer.lexBoost\n }\n\n // \"+\" indicates term presence is required\n // checking for length to ensure that only\n // leading \"+\" are considered\n if (char == \"+\" && lexer.width() === 1) {\n lexer.emit(lunr.QueryLexer.PRESENCE)\n return lunr.QueryLexer.lexText\n }\n\n // \"-\" indicates term presence is prohibited\n // checking for length to ensure that only\n // leading \"-\" are considered\n if (char == \"-\" && lexer.width() === 1) {\n lexer.emit(lunr.QueryLexer.PRESENCE)\n return lunr.QueryLexer.lexText\n }\n\n if (char.match(lunr.QueryLexer.termSeparator)) {\n return lunr.QueryLexer.lexTerm\n }\n }\n}\n\nlunr.QueryParser = function (str, query) {\n this.lexer = new lunr.QueryLexer (str)\n this.query = query\n this.currentClause = {}\n this.lexemeIdx = 0\n}\n\nlunr.QueryParser.prototype.parse = function () {\n this.lexer.run()\n this.lexemes = this.lexer.lexemes\n\n var state = lunr.QueryParser.parseClause\n\n while (state) {\n state = state(this)\n }\n\n return this.query\n}\n\nlunr.QueryParser.prototype.peekLexeme = function () {\n return this.lexemes[this.lexemeIdx]\n}\n\nlunr.QueryParser.prototype.consumeLexeme = function () {\n var lexeme = this.peekLexeme()\n this.lexemeIdx += 1\n return lexeme\n}\n\nlunr.QueryParser.prototype.nextClause = function () {\n var completedClause = this.currentClause\n this.query.clause(completedClause)\n this.currentClause = {}\n}\n\nlunr.QueryParser.parseClause = function (parser) {\n var lexeme = parser.peekLexeme()\n\n if (lexeme == undefined) {\n return\n }\n\n switch (lexeme.type) {\n case lunr.QueryLexer.PRESENCE:\n return lunr.QueryParser.parsePresence\n case lunr.QueryLexer.FIELD:\n return lunr.QueryParser.parseField\n case lunr.QueryLexer.TERM:\n return lunr.QueryParser.parseTerm\n default:\n var errorMessage = \"expected either a field or a term, found \" + lexeme.type\n\n if (lexeme.str.length >= 1) {\n errorMessage += \" with value '\" + lexeme.str + \"'\"\n }\n\n throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end)\n }\n}\n\nlunr.QueryParser.parsePresence = function (parser) {\n var lexeme = parser.consumeLexeme()\n\n if (lexeme == undefined) {\n return\n }\n\n switch (lexeme.str) {\n case \"-\":\n parser.currentClause.presence = lunr.Query.presence.PROHIBITED\n break\n case \"+\":\n parser.currentClause.presence = lunr.Query.presence.REQUIRED\n break\n default:\n var errorMessage = \"unrecognised presence operator'\" + lexeme.str + \"'\"\n throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end)\n }\n\n var nextLexeme = parser.peekLexeme()\n\n if (nextLexeme == undefined) {\n var errorMessage = \"expecting term or field, found nothing\"\n throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end)\n }\n\n switch (nextLexeme.type) {\n case lunr.QueryLexer.FIELD:\n return lunr.QueryParser.parseField\n case lunr.QueryLexer.TERM:\n return lunr.QueryParser.parseTerm\n default:\n var errorMessage = \"expecting term or field, found '\" + nextLexeme.type + \"'\"\n throw new lunr.QueryParseError (errorMessage, nextLexeme.start, nextLexeme.end)\n }\n}\n\nlunr.QueryParser.parseField = function (parser) {\n var lexeme = parser.consumeLexeme()\n\n if (lexeme == undefined) {\n return\n }\n\n if (parser.query.allFields.indexOf(lexeme.str) == -1) {\n var possibleFields = parser.query.allFields.map(function (f) { return \"'\" + f + \"'\" }).join(', '),\n errorMessage = \"unrecognised field '\" + lexeme.str + \"', possible fields: \" + possibleFields\n\n throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end)\n }\n\n parser.currentClause.fields = [lexeme.str]\n\n var nextLexeme = parser.peekLexeme()\n\n if (nextLexeme == undefined) {\n var errorMessage = \"expecting term, found nothing\"\n throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end)\n }\n\n switch (nextLexeme.type) {\n case lunr.QueryLexer.TERM:\n return lunr.QueryParser.parseTerm\n default:\n var errorMessage = \"expecting term, found '\" + nextLexeme.type + \"'\"\n throw new lunr.QueryParseError (errorMessage, nextLexeme.start, nextLexeme.end)\n }\n}\n\nlunr.QueryParser.parseTerm = function (parser) {\n var lexeme = parser.consumeLexeme()\n\n if (lexeme == undefined) {\n return\n }\n\n parser.currentClause.term = lexeme.str.toLowerCase()\n\n if (lexeme.str.indexOf(\"*\") != -1) {\n parser.currentClause.usePipeline = false\n }\n\n var nextLexeme = parser.peekLexeme()\n\n if (nextLexeme == undefined) {\n parser.nextClause()\n return\n }\n\n switch (nextLexeme.type) {\n case lunr.QueryLexer.TERM:\n parser.nextClause()\n return lunr.QueryParser.parseTerm\n case lunr.QueryLexer.FIELD:\n parser.nextClause()\n return lunr.QueryParser.parseField\n case lunr.QueryLexer.EDIT_DISTANCE:\n return lunr.QueryParser.parseEditDistance\n case lunr.QueryLexer.BOOST:\n return lunr.QueryParser.parseBoost\n case lunr.QueryLexer.PRESENCE:\n parser.nextClause()\n return lunr.QueryParser.parsePresence\n default:\n var errorMessage = \"Unexpected lexeme type '\" + nextLexeme.type + \"'\"\n throw new lunr.QueryParseError (errorMessage, nextLexeme.start, nextLexeme.end)\n }\n}\n\nlunr.QueryParser.parseEditDistance = function (parser) {\n var lexeme = parser.consumeLexeme()\n\n if (lexeme == undefined) {\n return\n }\n\n var editDistance = parseInt(lexeme.str, 10)\n\n if (isNaN(editDistance)) {\n var errorMessage = \"edit distance must be numeric\"\n throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end)\n }\n\n parser.currentClause.editDistance = editDistance\n\n var nextLexeme = parser.peekLexeme()\n\n if (nextLexeme == undefined) {\n parser.nextClause()\n return\n }\n\n switch (nextLexeme.type) {\n case lunr.QueryLexer.TERM:\n parser.nextClause()\n return lunr.QueryParser.parseTerm\n case lunr.QueryLexer.FIELD:\n parser.nextClause()\n return lunr.QueryParser.parseField\n case lunr.QueryLexer.EDIT_DISTANCE:\n return lunr.QueryParser.parseEditDistance\n case lunr.QueryLexer.BOOST:\n return lunr.QueryParser.parseBoost\n case lunr.QueryLexer.PRESENCE:\n parser.nextClause()\n return lunr.QueryParser.parsePresence\n default:\n var errorMessage = \"Unexpected lexeme type '\" + nextLexeme.type + \"'\"\n throw new lunr.QueryParseError (errorMessage, nextLexeme.start, nextLexeme.end)\n }\n}\n\nlunr.QueryParser.parseBoost = function (parser) {\n var lexeme = parser.consumeLexeme()\n\n if (lexeme == undefined) {\n return\n }\n\n var boost = parseInt(lexeme.str, 10)\n\n if (isNaN(boost)) {\n var errorMessage = \"boost must be numeric\"\n throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end)\n }\n\n parser.currentClause.boost = boost\n\n var nextLexeme = parser.peekLexeme()\n\n if (nextLexeme == undefined) {\n parser.nextClause()\n return\n }\n\n switch (nextLexeme.type) {\n case lunr.QueryLexer.TERM:\n parser.nextClause()\n return lunr.QueryParser.parseTerm\n case lunr.QueryLexer.FIELD:\n parser.nextClause()\n return lunr.QueryParser.parseField\n case lunr.QueryLexer.EDIT_DISTANCE:\n return lunr.QueryParser.parseEditDistance\n case lunr.QueryLexer.BOOST:\n return lunr.QueryParser.parseBoost\n case lunr.QueryLexer.PRESENCE:\n parser.nextClause()\n return lunr.QueryParser.parsePresence\n default:\n var errorMessage = \"Unexpected lexeme type '\" + nextLexeme.type + \"'\"\n throw new lunr.QueryParseError (errorMessage, nextLexeme.start, nextLexeme.end)\n }\n}\n\n /**\n * export the module via AMD, CommonJS or as a browser global\n * Export code from https://github.com/umdjs/umd/blob/master/returnExports.js\n */\n ;(function (root, factory) {\n if (typeof define === 'function' && define.amd) {\n // AMD. Register as an anonymous module.\n define(factory)\n } else if (typeof exports === 'object') {\n /**\n * Node. Does not work with strict CommonJS, but\n * only CommonJS-like enviroments that support module.exports,\n * like Node.\n */\n module.exports = factory()\n } else {\n // Browser globals (root is window)\n root.lunr = factory()\n }\n }(this, function () {\n /**\n * Just return a value to define the module export.\n * This example returns an object, but the module\n * can return a function as the exported value.\n */\n return lunr\n }))\n})();\n", "/*!\n * escape-html\n * Copyright(c) 2012-2013 TJ Holowaychuk\n * Copyright(c) 2015 Andreas Lubbe\n * Copyright(c) 2015 Tiancheng \"Timothy\" Gu\n * MIT Licensed\n */\n\n'use strict';\n\n/**\n * Module variables.\n * @private\n */\n\nvar matchHtmlRegExp = /[\"'&<>]/;\n\n/**\n * Module exports.\n * @public\n */\n\nmodule.exports = escapeHtml;\n\n/**\n * Escape special characters in the given string of html.\n *\n * @param {string} string The string to escape for inserting into HTML\n * @return {string}\n * @public\n */\n\nfunction escapeHtml(string) {\n var str = '' + string;\n var match = matchHtmlRegExp.exec(str);\n\n if (!match) {\n return str;\n }\n\n var escape;\n var html = '';\n var index = 0;\n var lastIndex = 0;\n\n for (index = match.index; index < str.length; index++) {\n switch (str.charCodeAt(index)) {\n case 34: // \"\n escape = '"';\n break;\n case 38: // &\n escape = '&';\n break;\n case 39: // '\n escape = ''';\n break;\n case 60: // <\n escape = '<';\n break;\n case 62: // >\n escape = '>';\n break;\n default:\n continue;\n }\n\n if (lastIndex !== index) {\n html += str.substring(lastIndex, index);\n }\n\n lastIndex = index + 1;\n html += escape;\n }\n\n return lastIndex !== index\n ? html + str.substring(lastIndex, index)\n : html;\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A RTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport lunr from \"lunr\"\n\nimport \"~/polyfills\"\n\nimport { Search, SearchIndexConfig } from \"../../_\"\nimport {\n SearchMessage,\n SearchMessageType\n} from \"../message\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Add support for usage with `iframe-worker` polyfill\n *\n * While `importScripts` is synchronous when executed inside of a web worker,\n * it's not possible to provide a synchronous polyfilled implementation. The\n * cool thing is that awaiting a non-Promise is a noop, so extending the type\n * definition to return a `Promise` shouldn't break anything.\n *\n * @see https://bit.ly/2PjDnXi - GitHub comment\n */\ndeclare global {\n function importScripts(...urls: string[]): Promise | void\n}\n\n/* ----------------------------------------------------------------------------\n * Data\n * ------------------------------------------------------------------------- */\n\n/**\n * Search index\n */\nlet index: Search\n\n/* ----------------------------------------------------------------------------\n * Helper functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Fetch (= import) multi-language support through `lunr-languages`\n *\n * This function automatically imports the stemmers necessary to process the\n * languages, which are defined through the search index configuration.\n *\n * If the worker runs inside of an `iframe` (when using `iframe-worker` as\n * a shim), the base URL for the stemmers to be loaded must be determined by\n * searching for the first `script` element with a `src` attribute, which will\n * contain the contents of this script.\n *\n * @param config - Search index configuration\n *\n * @returns Promise resolving with no result\n */\nasync function setupSearchLanguages(\n config: SearchIndexConfig\n): Promise {\n let base = \"../lunr\"\n\n /* Detect `iframe-worker` and fix base URL */\n if (typeof parent !== \"undefined\" && \"IFrameWorker\" in parent) {\n const worker = document.querySelector(\"script[src]\")!\n const [path] = worker.src.split(\"/worker\")\n\n /* Prefix base with path */\n base = base.replace(\"..\", path)\n }\n\n /* Add scripts for languages */\n const scripts = []\n for (const lang of config.lang) {\n switch (lang) {\n\n /* Add segmenter for Japanese */\n case \"ja\":\n scripts.push(`${base}/tinyseg.js`)\n break\n\n /* Add segmenter for Hindi and Thai */\n case \"hi\":\n case \"th\":\n scripts.push(`${base}/wordcut.js`)\n break\n }\n\n /* Add language support */\n if (lang !== \"en\")\n scripts.push(`${base}/min/lunr.${lang}.min.js`)\n }\n\n /* Add multi-language support */\n if (config.lang.length > 1)\n scripts.push(`${base}/min/lunr.multi.min.js`)\n\n /* Load scripts synchronously */\n if (scripts.length)\n await importScripts(\n `${base}/min/lunr.stemmer.support.min.js`,\n ...scripts\n )\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Message handler\n *\n * @param message - Source message\n *\n * @returns Target message\n */\nexport async function handler(\n message: SearchMessage\n): Promise {\n switch (message.type) {\n\n /* Search setup message */\n case SearchMessageType.SETUP:\n await setupSearchLanguages(message.data.config)\n index = new Search(message.data)\n return {\n type: SearchMessageType.READY\n }\n\n /* Search query message */\n case SearchMessageType.QUERY:\n return {\n type: SearchMessageType.RESULT,\n data: index ? index.search(message.data) : { items: [] }\n }\n\n /* All other messages */\n default:\n throw new TypeError(\"Invalid message type\")\n }\n}\n\n/* ----------------------------------------------------------------------------\n * Worker\n * ------------------------------------------------------------------------- */\n\n/* @ts-expect-error - expose Lunr.js in global scope, or stemmers won't work */\nself.lunr = lunr\n\n/* Handle messages */\naddEventListener(\"message\", async ev => {\n postMessage(await handler(ev.data))\n})\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\n/* ----------------------------------------------------------------------------\n * Polyfills\n * ------------------------------------------------------------------------- */\n\n/* Polyfill `Object.entries` */\nif (!Object.entries)\n Object.entries = function (obj: object) {\n const data: [string, string][] = []\n for (const key of Object.keys(obj))\n // @ts-expect-error - ignore property access warning\n data.push([key, obj[key]])\n\n /* Return entries */\n return data\n }\n\n/* Polyfill `Object.values` */\nif (!Object.values)\n Object.values = function (obj: object) {\n const data: string[] = []\n for (const key of Object.keys(obj))\n // @ts-expect-error - ignore property access warning\n data.push(obj[key])\n\n /* Return values */\n return data\n }\n\n/* ------------------------------------------------------------------------- */\n\n/* Polyfills for `Element` */\nif (typeof Element !== \"undefined\") {\n\n /* Polyfill `Element.scrollTo` */\n if (!Element.prototype.scrollTo)\n Element.prototype.scrollTo = function (\n x?: ScrollToOptions | number, y?: number\n ): void {\n if (typeof x === \"object\") {\n this.scrollLeft = x.left!\n this.scrollTop = x.top!\n } else {\n this.scrollLeft = x!\n this.scrollTop = y!\n }\n }\n\n /* Polyfill `Element.replaceWith` */\n if (!Element.prototype.replaceWith)\n Element.prototype.replaceWith = function (\n ...nodes: Array\n ): void {\n const parent = this.parentNode\n if (parent) {\n if (nodes.length === 0)\n parent.removeChild(this)\n\n /* Replace children and create text nodes */\n for (let i = nodes.length - 1; i >= 0; i--) {\n let node = nodes[i]\n if (typeof node === \"string\")\n node = document.createTextNode(node)\n else if (node.parentNode)\n node.parentNode.removeChild(node)\n\n /* Replace child or insert before previous sibling */\n if (!i)\n parent.replaceChild(node, this)\n else\n parent.insertBefore(this.previousSibling!, node)\n }\n }\n }\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport escapeHTML from \"escape-html\"\n\nimport { SearchIndexDocument } from \"../_\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Search document\n */\nexport interface SearchDocument extends SearchIndexDocument {\n parent?: SearchIndexDocument /* Parent article */\n}\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Search document mapping\n */\nexport type SearchDocumentMap = Map\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Create a search document mapping\n *\n * @param docs - Search index documents\n *\n * @returns Search document map\n */\nexport function setupSearchDocumentMap(\n docs: SearchIndexDocument[]\n): SearchDocumentMap {\n const documents = new Map()\n const parents = new Set()\n for (const doc of docs) {\n const [path, hash] = doc.location.split(\"#\")\n\n /* Extract location, title and tags */\n const location = doc.location\n const title = doc.title\n const tags = doc.tags\n\n /* Escape and cleanup text */\n const text = escapeHTML(doc.text)\n .replace(/\\s+(?=[,.:;!?])/g, \"\")\n .replace(/\\s+/g, \" \")\n\n /* Handle section */\n if (hash) {\n const parent = documents.get(path)!\n\n /* Ignore first section, override article */\n if (!parents.has(parent)) {\n parent.title = doc.title\n parent.text = text\n\n /* Remember that we processed the article */\n parents.add(parent)\n\n /* Add subsequent section */\n } else {\n documents.set(location, {\n location,\n title,\n text,\n parent\n })\n }\n\n /* Add article */\n } else {\n documents.set(location, {\n location,\n title,\n text,\n ...tags && { tags }\n })\n }\n }\n return documents\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport escapeHTML from \"escape-html\"\n\nimport { SearchIndexConfig } from \"../_\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Search highlight function\n *\n * @param value - Value\n *\n * @returns Highlighted value\n */\nexport type SearchHighlightFn = (value: string) => string\n\n/**\n * Search highlight factory function\n *\n * @param query - Query value\n *\n * @returns Search highlight function\n */\nexport type SearchHighlightFactoryFn = (query: string) => SearchHighlightFn\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Create a search highlighter\n *\n * @param config - Search index configuration\n * @param escape - Whether to escape HTML\n *\n * @returns Search highlight factory function\n */\nexport function setupSearchHighlighter(\n config: SearchIndexConfig, escape: boolean\n): SearchHighlightFactoryFn {\n const separator = new RegExp(config.separator, \"img\")\n const highlight = (_: unknown, data: string, term: string) => {\n return `${data}${term}`\n }\n\n /* Return factory function */\n return (query: string) => {\n query = query\n .replace(/[\\s*+\\-:~^]+/g, \" \")\n .trim()\n\n /* Create search term match expression */\n const match = new RegExp(`(^|${config.separator})(${\n query\n .replace(/[|\\\\{}()[\\]^$+*?.-]/g, \"\\\\$&\")\n .replace(separator, \"|\")\n })`, \"img\")\n\n /* Highlight string value */\n return value => (\n escape\n ? escapeHTML(value)\n : value\n )\n .replace(match, highlight)\n .replace(/<\\/mark>(\\s+)]*>/img, \"$1\")\n }\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Search query clause\n */\nexport interface SearchQueryClause {\n presence: lunr.Query.presence /* Clause presence */\n term: string /* Clause term */\n}\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Search query terms\n */\nexport type SearchQueryTerms = Record\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Parse a search query for analysis\n *\n * @param value - Query value\n *\n * @returns Search query clauses\n */\nexport function parseSearchQuery(\n value: string\n): SearchQueryClause[] {\n const query = new (lunr as any).Query([\"title\", \"text\"])\n const parser = new (lunr as any).QueryParser(value, query)\n\n /* Parse and return query clauses */\n parser.parse()\n return query.clauses\n}\n\n/**\n * Analyze the search query clauses in regard to the search terms found\n *\n * @param query - Search query clauses\n * @param terms - Search terms\n *\n * @returns Search query terms\n */\nexport function getSearchQueryTerms(\n query: SearchQueryClause[], terms: string[]\n): SearchQueryTerms {\n const clauses = new Set(query)\n\n /* Match query clauses against terms */\n const result: SearchQueryTerms = {}\n for (let t = 0; t < terms.length; t++)\n for (const clause of clauses)\n if (terms[t].startsWith(clause.term)) {\n result[clause.term] = true\n clauses.delete(clause)\n }\n\n /* Annotate unmatched non-stopword query clauses */\n for (const clause of clauses)\n if (lunr.stopWordFilter?.(clause.term as any))\n result[clause.term] = false\n\n /* Return query terms */\n return result\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n SearchDocument,\n SearchDocumentMap,\n setupSearchDocumentMap\n} from \"../document\"\nimport {\n SearchHighlightFactoryFn,\n setupSearchHighlighter\n} from \"../highlighter\"\nimport { SearchOptions } from \"../options\"\nimport {\n SearchQueryTerms,\n getSearchQueryTerms,\n parseSearchQuery\n} from \"../query\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Search index configuration\n */\nexport interface SearchIndexConfig {\n lang: string[] /* Search languages */\n separator: string /* Search separator */\n}\n\n/**\n * Search index document\n */\nexport interface SearchIndexDocument {\n location: string /* Document location */\n title: string /* Document title */\n text: string /* Document text */\n tags?: string[] /* Document tags */\n boost?: number /* Document boost */\n}\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Search index\n *\n * This interfaces describes the format of the `search_index.json` file which\n * is automatically built by the MkDocs search plugin.\n */\nexport interface SearchIndex {\n config: SearchIndexConfig /* Search index configuration */\n docs: SearchIndexDocument[] /* Search index documents */\n options: SearchOptions /* Search options */\n}\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Search metadata\n */\nexport interface SearchMetadata {\n score: number /* Score (relevance) */\n terms: SearchQueryTerms /* Search query terms */\n}\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Search result document\n */\nexport type SearchResultDocument = SearchDocument & SearchMetadata\n\n/**\n * Search result item\n */\nexport type SearchResultItem = SearchResultDocument[]\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Search result\n */\nexport interface SearchResult {\n items: SearchResultItem[] /* Search result items */\n suggestions?: string[] /* Search suggestions */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Compute the difference of two lists of strings\n *\n * @param a - 1st list of strings\n * @param b - 2nd list of strings\n *\n * @returns Difference\n */\nfunction difference(a: string[], b: string[]): string[] {\n const [x, y] = [new Set(a), new Set(b)]\n return [\n ...new Set([...x].filter(value => !y.has(value)))\n ]\n}\n\n/* ----------------------------------------------------------------------------\n * Class\n * ------------------------------------------------------------------------- */\n\n/**\n * Search index\n */\nexport class Search {\n\n /**\n * Search document mapping\n *\n * A mapping of URLs (including hash fragments) to the actual articles and\n * sections of the documentation. The search document mapping must be created\n * regardless of whether the index was prebuilt or not, as Lunr.js itself\n * only stores the actual index.\n */\n protected documents: SearchDocumentMap\n\n /**\n * Search highlight factory function\n */\n protected highlight: SearchHighlightFactoryFn\n\n /**\n * The underlying Lunr.js search index\n */\n protected index: lunr.Index\n\n /**\n * Search options\n */\n protected options: SearchOptions\n\n /**\n * Create the search integration\n *\n * @param data - Search index\n */\n public constructor({ config, docs, options }: SearchIndex) {\n this.options = options\n\n /* Set up document map and highlighter factory */\n this.documents = setupSearchDocumentMap(docs)\n this.highlight = setupSearchHighlighter(config, false)\n\n /* Set separator for tokenizer */\n lunr.tokenizer.separator = new RegExp(config.separator)\n\n /* Create search index */\n this.index = lunr(function () {\n\n /* Set up multi-language support */\n if (config.lang.length === 1 && config.lang[0] !== \"en\") {\n this.use((lunr as any)[config.lang[0]])\n } else if (config.lang.length > 1) {\n this.use((lunr as any).multiLanguage(...config.lang))\n }\n\n /* Compute functions to be removed from the pipeline */\n const fns = difference([\n \"trimmer\", \"stopWordFilter\", \"stemmer\"\n ], options.pipeline)\n\n /* Remove functions from the pipeline for registered languages */\n for (const lang of config.lang.map(language => (\n language === \"en\" ? lunr : (lunr as any)[language]\n ))) {\n for (const fn of fns) {\n this.pipeline.remove(lang[fn])\n this.searchPipeline.remove(lang[fn])\n }\n }\n\n /* Set up reference */\n this.ref(\"location\")\n\n /* Set up fields */\n this.field(\"title\", { boost: 1e3 })\n this.field(\"text\")\n this.field(\"tags\", { boost: 1e6, extractor: doc => {\n const { tags = [] } = doc as SearchDocument\n return tags.reduce((list, tag) => [\n ...list,\n ...lunr.tokenizer(tag)\n ], [] as lunr.Token[])\n } })\n\n /* Index documents */\n for (const doc of docs)\n this.add(doc, { boost: doc.boost })\n })\n }\n\n /**\n * Search for matching documents\n *\n * The search index which MkDocs provides is divided up into articles, which\n * contain the whole content of the individual pages, and sections, which only\n * contain the contents of the subsections obtained by breaking the individual\n * pages up at `h1` ... `h6`. As there may be many sections on different pages\n * with identical titles (for example within this very project, e.g. \"Usage\"\n * or \"Installation\"), they need to be put into the context of the containing\n * page. For this reason, section results are grouped within their respective\n * articles which are the top-level results that are returned.\n *\n * @param query - Query value\n *\n * @returns Search results\n */\n public search(query: string): SearchResult {\n if (query) {\n try {\n const highlight = this.highlight(query)\n\n /* Parse query to extract clauses for analysis */\n const clauses = parseSearchQuery(query)\n .filter(clause => (\n clause.presence !== lunr.Query.presence.PROHIBITED\n ))\n\n /* Perform search and post-process results */\n const groups = this.index.search(`${query}*`)\n\n /* Apply post-query boosts based on title and search query terms */\n .reduce((item, { ref, score, matchData }) => {\n const document = this.documents.get(ref)\n if (typeof document !== \"undefined\") {\n const { location, title, text, tags, parent } = document\n\n /* Compute and analyze search query terms */\n const terms = getSearchQueryTerms(\n clauses,\n Object.keys(matchData.metadata)\n )\n\n /* Highlight title and text and apply post-query boosts */\n const boost = +!parent + +Object.values(terms).every(t => t)\n item.push({\n location,\n title: highlight(title),\n text: highlight(text),\n ...tags && { tags: tags.map(highlight) },\n score: score * (1 + boost),\n terms\n })\n }\n return item\n }, [])\n\n /* Sort search results again after applying boosts */\n .sort((a, b) => b.score - a.score)\n\n /* Group search results by page */\n .reduce((items, result) => {\n const document = this.documents.get(result.location)\n if (typeof document !== \"undefined\") {\n const ref = \"parent\" in document\n ? document.parent!.location\n : document.location\n items.set(ref, [...items.get(ref) || [], result])\n }\n return items\n }, new Map())\n\n /* Generate search suggestions, if desired */\n let suggestions: string[] | undefined\n if (this.options.suggestions) {\n const titles = this.index.query(builder => {\n for (const clause of clauses)\n builder.term(clause.term, {\n fields: [\"title\"],\n presence: lunr.Query.presence.REQUIRED,\n wildcard: lunr.Query.wildcard.TRAILING\n })\n })\n\n /* Retrieve suggestions for best match */\n suggestions = titles.length\n ? Object.keys(titles[0].matchData.metadata)\n : []\n }\n\n /* Return items and suggestions */\n return {\n items: [...groups.values()],\n ...typeof suggestions !== \"undefined\" && { suggestions }\n }\n\n /* Log errors to console (for now) */\n } catch {\n console.warn(`Invalid query: ${query} \u2013 see https://bit.ly/2s3ChXG`)\n }\n }\n\n /* Return nothing in case of error or empty query */\n return { items: [] }\n }\n}\n"], + "mappings": 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    + + + + + + + diff --git a/1.0.0/contributing/contributing.md b/1.0.0/contributing/contributing.md new file mode 100644 index 00000000..49347181 --- /dev/null +++ b/1.0.0/contributing/contributing.md @@ -0,0 +1,23 @@ +# Development - Contributing + +Issues and pull requests are more than welcome: https://github.com/stac-utils/titiler-pgstac/issues + +**dev install** + +```bash +$ git clone https://github.com/stac-utils/titiler-pgstac.git +$ cd titiler +$ pip install pre-commit -e .["dev,test"] +``` + +You can then run the tests with the following command: + +```sh +python -m pytest --cov titiler.pgstac --cov-report term-missing +``` + +This repo is set to use `pre-commit` to run *isort*, *flake8*, *pydocstring*, *black* ("uncompromising Python code formatter") and mypy when committing new code. + +```bash +$ pre-commit install +``` diff --git a/1.0.0/contributing/index.html b/1.0.0/contributing/index.html new file mode 100644 index 00000000..ca8f0bf9 --- /dev/null +++ b/1.0.0/contributing/index.html @@ -0,0 +1,986 @@ + + + + + + + + + + + + + + + + + + + + Development - Contributing - TiTiler.PgSTAC + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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    + + + + + + + + + + \ No newline at end of file diff --git a/1.0.0/endpoints/collections_endpoints/collections_endpoints.md b/1.0.0/endpoints/collections_endpoints/collections_endpoints.md new file mode 100644 index 00000000..2bbaea13 --- /dev/null +++ b/1.0.0/endpoints/collections_endpoints/collections_endpoints.md @@ -0,0 +1,317 @@ + +### STAC Collections endpoints + + +| Method | URL | Output | Description +| ------ | ---------------------------------------------------------------------------------|-----------------------------------------|-------------- +| `GET` | `/collections/{collection_id}/{lon},{lat}/assets` | JSON | Return a list of assets which overlap a given point +| `GET` | `/collections/{collection_id}/tiles[/{TileMatrixSetId}]/{z}/{x}/{Y}/assets` | JSON | Return a list of assets which overlap a given tile +| `GET` | `/collections/{collection_id}/tiles[/{TileMatrixSetId}]/{z}/{x}/{y}[@{scale}x][.{format}]` | image/bin | Create a web map tile image for a collection and a tile index +| `GET` | `/collections/{collection_id}[/{TileMatrixSetId}]/tilejson.json` | JSON ([TileJSON][tilejson_model]) | Return a Mapbox TileJSON document +| `GET` | `/collections/{collection_id}[/{TileMatrixSetId}]/WMTSCapabilities.xml` | XML | return OGC WMTS Get Capabilities +| `GET` | `/collections/{collection_id}[/{TileMatrixSetId}]/map` | HTML | simple map viewer +| `POST` | `/collections/{collection_id}/statistics` | GeoJSON ([Statistics][statitics_model]) | Return statistics for geojson features +| `GET` | `/collections/{collection_id}/bbox/{minx},{miny},{maxx},{maxy}[/{width}x{height}].{format}`| image/bin | Create an image from part of a dataset +| `POST` | `/collections/{collection_id}/feature[/{width}x{height}][.{format}]` | image/bin | Create an image from a GeoJSON feature + +### Tiles + +`:endpoint:/collections/{collection_id}/tiles[/{TileMatrixSetId}]/{z}/{x}/{y}[@{scale}x][.{format}]` + +- PathParams: + - **collection_id**: STAC Collection Identifier. + - **TileMatrixSetId**: TileMatrixSet name, default is `WebMercatorQuad`. OPTIONAL + - **z**: Tile's zoom level. + - **x**: Tile's column. + - **y**: Tile's row. + - **scale**: Tile size scale, default is set to 1 (256x256). OPTIONAL + - **format**: Output image format, default is set to None and will be either JPEG or PNG depending on masked value. OPTIONAL + +- QueryParams: + - **assets** (array[str]): asset names. + - **expression** (str): rio-tiler's math expression with asset names (e.g `Asset1_b1/Asset2_b1`). + - **asset_as_band** (bool): tell rio-tiler that each asset is a 1 band dataset, so expression `Asset1/Asset2` can be passed. + - **asset_bidx** (array[str]): Per asset band math expression (e.g `Asset1|1;2;3`). + - **nodata**: Overwrite internal Nodata value. OPTIONAL + - **unscale** (bool): Apply dataset internal Scale/Offset. + - **resampling** (str): RasterIO resampling algorithm. Defaults to `nearest`. + - **reproject** (str): WarpKernel resampling algorithm (only used when doing re-projection). Defaults to `nearest`. + - **algorithm** (str): Custom algorithm name (e.g `hillshade`). + - **algorithm_params** (str): JSON encoded algorithm parameters. + - **rescale** (array[str]): Comma (',') delimited Min,Max range (e.g `rescale=0,1000`, `rescale=0,1000&rescale=0,3000&rescale=0,2000`). + - **color_formula** (str): rio-color formula. + - **colormap** (str): JSON encoded custom Colormap. + - **colormap_name** (str): rio-tiler color map name. + - **return_mask** (bool): Add mask to the output data. Default is True. + - **buffer** (float): Buffer on each side of the given tile. It must be a multiple of `0.5`. Output **tilesize** will be expanded to `tilesize + 2 * buffer` (e.g 0.5 = 257x257, 1.0 = 258x258). + - **padding** (int): Padding to apply to each tile edge. Helps reduce resampling artefacts along edges. Defaults to `0` + - **pixel_selection** (str): Pixel selection method (https://cogeotiff.github.io/rio-tiler/mosaic/). + - **scan_limit** (int): Return as soon as we scan N items, Default is 10,000 in PgSTAC. + - **items_limit** (int): Return as soon as we have N items per geometry, Default is 100 in PgSTAC. + - **time_limit** (int): Return after N seconds to avoid long requests, Default is 5sec in PgSTAC. + - **exitwhenfull** (bool): Return as soon as the geometry is fully covered, Default is `True` in PgSTAC. + - **skipcovered** (bool): Skip any items that would show up completely under the previous items, Default is `True` in PgSTAC. + +!!! important + **assets** OR **expression** is required + +Example: + +- `https://myendpoint/collections/my-collection/tiles/1/2/3?assets=B01` +- `https://myendpoint/collections/my-collection/tiles/1/2/3.jpg?assets=B01` +- `https://myendpoint/collections/my-collection/tiles/WorldCRS84Quad/1/2/3@2x.png?assets=B01&assets=B02&assets=B03` +- `https://myendpoint/collections/my-collection/tiles/WorldCRS84Quad/1/2/3?assets=B01&rescale=0,1000&colormap_name=cfastie` + +### TilesJSON + +`:endpoint:/collections/{collection_id}[/{TileMatrixSetId}]/tilejson.json` + +- PathParams: + - **collection_id**: STAC Collection Identifier. + - **TileMatrixSetId**: TileMatrixSet name, default is `WebMercatorQuad`. OPTIONAL + +- QueryParams: + - **tile_format**: Output image format, default is set to None and will be either JPEG or PNG depending on masked value. + - **tile_scale**: Tile size scale, default is set to 1 (256x256). OPTIONAL + - **minzoom**: Overwrite default minzoom. OPTIONAL + - **maxzoom**: Overwrite default maxzoom. OPTIONAL + - **expression** (str): rio-tiler's math expression with asset names (e.g `Asset1_b1/Asset2_b1`). + - **asset_as_band** (bool): tell rio-tiler that each asset is a 1 band dataset, so expression `Asset1/Asset2` can be passed. + - **asset_bidx** (array[str]): Per asset band math expression (e.g `Asset1|1;2;3`). + - **nodata** (str, int, float): Overwrite internal Nodata value. + - **unscale** (bool): Apply dataset internal Scale/Offset. + - **resampling** (str): RasterIO resampling algorithm. Defaults to `nearest`. + - **reproject** (str): WarpKernel resampling algorithm (only used when doing re-projection). Defaults to `nearest`. + - **algorithm** (str): Custom algorithm name (e.g `hillshade`). + - **algorithm_params** (str): JSON encoded algorithm parameters. + - **rescale** (array[str]): Comma (',') delimited Min,Max range (e.g `rescale=0,1000`, `rescale=0,1000&rescale=0,3000&rescale=0,2000`). + - **color_formula** (str): rio-color formula. + - **colormap** (str): JSON encoded custom Colormap. + - **colormap_name** (str): rio-tiler color map name. + - **return_mask** (bool): Add mask to the output data. Default is True. + - **buffer** (float): Buffer on each side of the given tile. It must be a multiple of `0.5`. Output **tilesize** will be expanded to `tilesize + 2 * buffer` (e.g 0.5 = 257x257, 1.0 = 258x258). + - **padding** (int): Padding to apply to each tile edge. Helps reduce resampling artefacts along edges. Defaults to `0` + - **pixel_selection** (str): Pixel selection method (https://cogeotiff.github.io/rio-tiler/mosaic/). + - **scan_limit** (int): Return as soon as we scan N items, Default is 10,000 in PgSTAC. + - **items_limit** (int): Return as soon as we have N items per geometry, Default is 100 in PgSTAC. + - **time_limit** (int): Return after N seconds to avoid long requests, Default is 5sec in PgSTAC. + - **exitwhenfull** (bool): Return as soon as the geometry is fully covered, Default is `True` in PgSTAC. + - **skipcovered** (bool): Skip any items that would show up completely under the previous items, Default is `True` in PgSTAC. + +!!! important + **assets** OR **expression** is required + +Example: + +- `https://myendpoint/collections/my-collection/tilejson.json?assets=B01` +- `https://myendpoint/collections/my-collection/tilejson.json?assets=B01&tile_format=png` +- `https://myendpoint/collections/my-collection/WorldCRS84Quad/tilejson.json?assets=B01&tile_scale=2` + + +### WMTS + +`:endpoint:/collections/{collection_id}[/{TileMatrixSetId}]/WMTSCapabilities.xml` + +- PathParams: + - **collection_id**: STAC Collection Identifier. + - **TileMatrixSetId**: TileMatrixSet name, default is `WebMercatorQuad`. OPTIONAL + +- QueryParams: + - **tile_format**: Output image format, default is set to PNG. + - **tile_scale**: Tile size scale, default is set to 1 (256x256). OPTIONAL + - **minzoom**: Overwrite default minzoom. OPTIONAL + - **maxzoom**: Overwrite default maxzoom. OPTIONAL + + +!!! important + additional query-parameters will be forwarded to the `tile` URL. If no `defaults` mosaic metadata, **assets** OR **expression** will be required + +Example: + +- `https://myendpoint/collections/my-collection/WMTSCapabilities.xml?assets=B01` +- `https://myendpoint/collections/my-collection/WMTSCapabilities.xml?assets=B01&tile_format=png` +- `https://myendpoint/collections/my-collection/WorldCRS84Quad/WMTSCapabilities.xml?assets=B01&tile_scale=2` + + +### Assets + +`:endpoint:/collections/{collection_id}/tiles/[{TileMatrixSetId}]/{z}/{x}/{y}/assets` + +- PathParams: + - **collection_id**: STAC Collection Identifier. + - **TileMatrixSetId**: TileMatrixSet name, default is `WebMercatorQuad`. OPTIONAL + - **z**: Tile's zoom level. + - **x**: Tile's column. + - **y**: Tile's row. + +- QueryParams: + - **scan_limit** (int): Return as soon as we scan N items, Default is 10,000 in PgSTAC. + - **items_limit** (int): Return as soon as we have N items per geometry, Default is 100 in PgSTAC. + - **time_limit** (int): Return after N seconds to avoid long requests, Default is 5sec in PgSTAC. + - **exitwhenfull** (bool): Return as soon as the geometry is fully covered, Default is `True` in PgSTAC. + - **skipcovered** (bool): Skip any items that would show up completely under the previous items, Default is `True` in PgSTAC. + +Example: + +- `https://myendpoint/collections/my-collection/tiles/0/0/0/assets` + +`:endpoint:/collections/{collection_id}/{lon},{lat}/assets` + +- PathParams: + - **collection_id**: STAC Collection Identifier. + - **lon**: Longitude (in WGS84 CRS). + - **lat**: Latitude (in WGS84 CRS). + +- QueryParams: + - **scan_limit** (int): Return as soon as we scan N items, Default is 10,000 in PgSTAC. + - **items_limit** (int): Return as soon as we have N items per geometry, Default is 100 in PgSTAC. + - **time_limit** (int): Return after N seconds to avoid long requests, Default is 5sec in PgSTAC. + - **exitwhenfull** (bool): Return as soon as the geometry is fully covered, Default is `True` in PgSTAC. + - **skipcovered** (bool): Skip any items that would show up completely under the previous items, Default is `True` in PgSTAC. + +Example: + +- `https://myendpoint/collections/my-collection/0.0,0.0/assets` + +### Statistics + +`:endpoint:/collections/{collection_id}/statistics - [POST]` + +- Body: + - **feature** (JSON): A valid GeoJSON feature or FeatureCollection + +- PathParams: + - **collection_id**: STAC Collection Identifier. + +- QueryParams: + - **assets** (array[str]): asset names. + - **expression** (str): rio-tiler's math expression with asset names (e.g `Asset1_b1/Asset2_b1`). + - **asset_as_band** (bool): tell rio-tiler that each asset is a 1 band dataset, so expression `Asset1/Asset2` can be passed. + - **asset_bidx** (array[str]): Per asset band math expression (e.g `Asset1|1;2;3`). + - **coord_crs** (str): Coordinate Reference System of the input geometry. Default to `epsg:4326`. + - **dst_crs** (str): Output Coordinate Reference System. Default to `coord_crs`. + - **max_size** (int): Max image size from which to calculate statistics. + - **height** (int): Force image height from which to calculate statistics. + - **width** (int): Force image width from which to calculate statistics. + - **nodata**: Overwrite internal Nodata value. OPTIONAL + - **unscale** (bool): Apply dataset internal Scale/Offset. + - **resampling** (str): RasterIO resampling algorithm. Defaults to `nearest`. + - **reproject** (str): WarpKernel resampling algorithm (only used when doing re-projection). Defaults to `nearest`. + - **algorithm** (str): Custom algorithm name (e.g `hillshade`). + - **algorithm_params** (str): JSON encoded algorithm parameters. + - **categorical** (bool): Return statistics for categorical dataset, default is false. + - **c** (array[float]): Pixels values for categories. + - **p** (array[int]): Percentile values. + - **histogram_bins** (str): Histogram bins. + - **histogram_range** (str): Comma (',') delimited Min,Max histogram bounds. + - **pixel_selection** (str): Pixel selection method (https://cogeotiff.github.io/rio-tiler/mosaic/). + - **scan_limit** (int): Return as soon as we scan N items, Default is 10,000 in PgSTAC. + - **items_limit** (int): Return as soon as we have N items per geometry, Default is 100 in PgSTAC. + - **time_limit** (int): Return after N seconds to avoid long requests, Default is 5sec in PgSTAC. + - **exitwhenfull** (bool): Return as soon as the geometry is fully covered, Default is `True` in PgSTAC. + - **skipcovered** (bool): Skip any items that would show up completely under the previous items, Default is `True` in PgSTAC. + +!!! important + if **height** and **width** are provided **max_size** will be ignored. + +Example: + +- `https://myendpoint/collections/my-collection/statistics?assets=B01` + +### BBOX/Feature + +`:endpoint:/collections/{collection_id}/bbox/{minx},{miny},{maxx},{maxy}.{format}` + +`:endpoint:/collections/{collection_id}/bbox/{minx},{miny},{maxx},{maxy}/{width}x{height}.{format}` + +- PathParams: + - **collection_id**: STAC Collection Identifier. + - **minx,miny,maxx,maxy** (str): Comma (',') delimited bounding box in WGS84. + - **format** (str): Output image format. + - **height** (int): Force output image height. + - **width** (int): Force output image width. + +- QueryParams: + - **assets** (array[str]): asset names. + - **expression** (str): rio-tiler's math expression with asset names (e.g `Asset1_b1/Asset2_b1`). + - **asset_as_band** (bool): tell rio-tiler that each asset is a 1 band dataset, so expression `Asset1/Asset2` can be passed. + - **asset_bidx** (array[str]): Per asset band math expression (e.g `Asset1|1;2;3`). + - **coord_crs** (str): Coordinate Reference System of the input coordinates. Default to `epsg:4326`. + - **dst_crs** (str): Output Coordinate Reference System. Default to `coord_crs`. + - **max_size** (int): Max image size. + - **nodata**: Overwrite internal Nodata value. OPTIONAL + - **unscale** (bool): Apply dataset internal Scale/Offset. + - **resampling** (str): RasterIO resampling algorithm. Defaults to `nearest`. + - **reproject** (str): WarpKernel resampling algorithm (only used when doing re-projection). Defaults to `nearest`. + - **algorithm** (str): Custom algorithm name (e.g `hillshade`). + - **algorithm_params** (str): JSON encoded algorithm parameters. + - **rescale** (array[str]): Comma (',') delimited Min,Max range (e.g `rescale=0,1000`, `rescale=0,1000&rescale=0,3000&rescale=0,2000`). + - **color_formula** (str): rio-color formula. + - **colormap** (str): JSON encoded custom Colormap. + - **colormap_name** (str): rio-tiler color map name. + - **return_mask** (bool): Add mask to the output data. Default is True. + - **pixel_selection** (str): Pixel selection method (https://cogeotiff.github.io/rio-tiler/mosaic/). + - **scan_limit** (int): Return as soon as we scan N items, Default is 10,000 in PgSTAC. + - **items_limit** (int): Return as soon as we have N items per geometry, Default is 100 in PgSTAC. + - **time_limit** (int): Return after N seconds to avoid long requests, Default is 5sec in PgSTAC. + - **exitwhenfull** (bool): Return as soon as the geometry is fully covered, Default is `True` in PgSTAC. + - **skipcovered** (bool): Skip any items that would show up completely under the previous items, Default is `True` in PgSTAC. + +!!! important + if **height** and **width** are provided **max_size** will be ignored. + +Example: + +- `https://myendpoint/collections/my-collection/bbox/0,0,10,10.png?assets=B01` +- `https://myendpoint/collections/my-collection/bbox/0,0,10,10/400x300.png?assets=B01` + + +`:endpoint:/collections/{collection_id}/feature[/{width}x{height}][].{format}] - [POST]` + +- Body: + - **feature** (JSON): A valid GeoJSON feature (Polygon or MultiPolygon) + +- PathParams: + - **collection_id**: STAC Collection Identifier. + - **height** (int): Force output image height. **Optional** + - **width** (int): Force output image width. **Optional** + - **format** (str): Output image format, default is set to None and will be either JPEG or PNG depending on masked value. **Optional** + +- QueryParams: + - **assets** (array[str]): asset names. + - **expression** (str): rio-tiler's math expression with asset names (e.g `Asset1_b1/Asset2_b1`). + - **asset_as_band** (bool): tell rio-tiler that each asset is a 1 band dataset, so expression `Asset1/Asset2` can be passed. + - **asset_bidx** (array[str]): Per asset band math expression (e.g `Asset1|1;2;3`). + - **coord_crs** (str): Coordinate Reference System of the input geometry. Default to `epsg:4326`. + - **dst_crs** (str): Output Coordinate Reference System. Default to `coord_crs`. + - **max_size** (int): Max image size. + - **nodata**: Overwrite internal Nodata value. OPTIONAL + - **unscale** (bool): Apply dataset internal Scale/Offset. + - **resampling** (str): RasterIO resampling algorithm. Defaults to `nearest`. + - **reproject** (str): WarpKernel resampling algorithm (only used when doing re-projection). Defaults to `nearest`. + - **algorithm** (str): Custom algorithm name (e.g `hillshade`). + - **algorithm_params** (str): JSON encoded algorithm parameters. + - **rescale** (array[str]): Comma (',') delimited Min,Max range (e.g `rescale=0,1000`, `rescale=0,1000&rescale=0,3000&rescale=0,2000`). + - **color_formula** (str): rio-color formula. + - **colormap** (str): JSON encoded custom Colormap. + - **colormap_name** (str): rio-tiler color map name. + - **return_mask** (bool): Add mask to the output data. Default is True. + - **pixel_selection** (str): Pixel selection method (https://cogeotiff.github.io/rio-tiler/mosaic/). + - **scan_limit** (int): Return as soon as we scan N items, Default is 10,000 in PgSTAC. + - **items_limit** (int): Return as soon as we have N items per geometry, Default is 100 in PgSTAC. + - **time_limit** (int): Return after N seconds to avoid long requests, Default is 5sec in PgSTAC. + - **exitwhenfull** (bool): Return as soon as the geometry is fully covered, Default is `True` in PgSTAC. + - **skipcovered** (bool): Skip any items that would show up completely under the previous items, Default is `True` in PgSTAC. + +!!! important + if **height** and **width** are provided **max_size** will be ignored. + +Example: + +- `https://myendpoint/collections/my-collection/feature?assets=B01` +- `https://myendpoint/collections/my-collection/feature.png?assets=B01f` +- `https://myendpoint/collections/my-collection/feature/100x100.png?assets=B01` + + +[tilejson_model]: https://github.com/developmentseed/titiler/blob/2335048a407f17127099cbbc6c14e1328852d619/src/titiler/core/titiler/core/models/mapbox.py#L16-L38 +[statitics_model]: https://github.com/developmentseed/titiler/blob/17cdff2f0ddf08dbd9a47c2140b13c4bbcc30b6d/src/titiler/core/titiler/core/models/responses.py#L49-L52 diff --git a/1.0.0/endpoints/collections_endpoints/index.html b/1.0.0/endpoints/collections_endpoints/index.html new file mode 100644 index 00000000..35f1dc68 --- /dev/null +++ b/1.0.0/endpoints/collections_endpoints/index.html @@ -0,0 +1,1523 @@ + + + + + + + + + + + + + + + + + + + + Collections - TiTiler.PgSTAC + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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    Collections

    + +

    STAC Collections endpoints

    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    MethodURLOutputDescription
    GET/collections/{collection_id}/{lon},{lat}/assetsJSONReturn a list of assets which overlap a given point
    GET/collections/{collection_id}/tiles[/{TileMatrixSetId}]/{z}/{x}/{Y}/assetsJSONReturn a list of assets which overlap a given tile
    GET/collections/{collection_id}/tiles[/{TileMatrixSetId}]/{z}/{x}/{y}[@{scale}x][.{format}]image/binCreate a web map tile image for a collection and a tile index
    GET/collections/{collection_id}[/{TileMatrixSetId}]/tilejson.jsonJSON (TileJSON)Return a Mapbox TileJSON document
    GET/collections/{collection_id}[/{TileMatrixSetId}]/WMTSCapabilities.xmlXMLreturn OGC WMTS Get Capabilities
    GET/collections/{collection_id}[/{TileMatrixSetId}]/mapHTMLsimple map viewer
    POST/collections/{collection_id}/statisticsGeoJSON (Statistics)Return statistics for geojson features
    GET/collections/{collection_id}/bbox/{minx},{miny},{maxx},{maxy}[/{width}x{height}].{format}image/binCreate an image from part of a dataset
    POST/collections/{collection_id}/feature[/{width}x{height}][.{format}]image/binCreate an image from a GeoJSON feature
    +

    Tiles

    +

    :endpoint:/collections/{collection_id}/tiles[/{TileMatrixSetId}]/{z}/{x}/{y}[@{scale}x][.{format}]

    +
      +
    • +

      PathParams:

      +
        +
      • collection_id: STAC Collection Identifier.
        • +
      • TileMatrixSetId: TileMatrixSet name, default is WebMercatorQuad. OPTIONAL
        • +
      • z: Tile's zoom level.
        • +
      • x: Tile's column.
        • +
      • y: Tile's row.
        • +
      • scale: Tile size scale, default is set to 1 (256x256). OPTIONAL
        • +
      • format: Output image format, default is set to None and will be either JPEG or PNG depending on masked value. OPTIONAL
        • +
      +
      • +
    • +

      QueryParams:

      +
        +
      • assets (array[str]): asset names.
        • +
      • expression (str): rio-tiler's math expression with asset names (e.g Asset1_b1/Asset2_b1).
        • +
      • asset_as_band (bool): tell rio-tiler that each asset is a 1 band dataset, so expression Asset1/Asset2 can be passed.
        • +
      • asset_bidx (array[str]): Per asset band math expression (e.g Asset1|1;2;3).
        • +
      • nodata: Overwrite internal Nodata value. OPTIONAL
        • +
      • unscale (bool): Apply dataset internal Scale/Offset.
        • +
      • resampling (str): RasterIO resampling algorithm. Defaults to nearest.
        • +
      • reproject (str): WarpKernel resampling algorithm (only used when doing re-projection). Defaults to nearest.
        • +
      • algorithm (str): Custom algorithm name (e.g hillshade).
        • +
      • algorithm_params (str): JSON encoded algorithm parameters.
        • +
      • rescale (array[str]): Comma (',') delimited Min,Max range (e.g rescale=0,1000, rescale=0,1000&rescale=0,3000&rescale=0,2000).
        • +
      • color_formula (str): rio-color formula.
        • +
      • colormap (str): JSON encoded custom Colormap.
        • +
      • colormap_name (str): rio-tiler color map name.
        • +
      • return_mask (bool): Add mask to the output data. Default is True.
        • +
      • buffer (float): Buffer on each side of the given tile. It must be a multiple of 0.5. Output tilesize will be expanded to tilesize + 2 * buffer (e.g 0.5 = 257x257, 1.0 = 258x258).
        • +
      • padding (int): Padding to apply to each tile edge. Helps reduce resampling artefacts along edges. Defaults to 0
        • +
      • pixel_selection (str): Pixel selection method (cogeotiff.github.io/rio-tiler/mosaic/).
        • +
      • scan_limit (int): Return as soon as we scan N items, Default is 10,000 in PgSTAC.
        • +
      • items_limit (int): Return as soon as we have N items per geometry, Default is 100 in PgSTAC.
        • +
      • time_limit (int): Return after N seconds to avoid long requests, Default is 5sec in PgSTAC.
        • +
      • exitwhenfull (bool): Return as soon as the geometry is fully covered, Default is True in PgSTAC.
        • +
      • skipcovered (bool): Skip any items that would show up completely under the previous items, Default is True in PgSTAC.
        • +
      +
      • +
    +
    +

    Important

    +

    assets OR expression is required

    +
    +

    Example:

    +
      +
    • https://myendpoint/collections/my-collection/tiles/1/2/3?assets=B01
      • +
    • https://myendpoint/collections/my-collection/tiles/1/2/3.jpg?assets=B01
      • +
    • https://myendpoint/collections/my-collection/tiles/WorldCRS84Quad/1/2/3@2x.png?assets=B01&assets=B02&assets=B03
      • +
    • https://myendpoint/collections/my-collection/tiles/WorldCRS84Quad/1/2/3?assets=B01&rescale=0,1000&colormap_name=cfastie
      • +
    +

    TilesJSON

    +

    :endpoint:/collections/{collection_id}[/{TileMatrixSetId}]/tilejson.json

    +
      +
    • +

      PathParams:

      +
        +
      • collection_id: STAC Collection Identifier.
        • +
      • TileMatrixSetId: TileMatrixSet name, default is WebMercatorQuad. OPTIONAL
        • +
      +
      • +
    • +

      QueryParams:

      +
        +
      • tile_format: Output image format, default is set to None and will be either JPEG or PNG depending on masked value.
        • +
      • tile_scale: Tile size scale, default is set to 1 (256x256). OPTIONAL
        • +
      • minzoom: Overwrite default minzoom. OPTIONAL
        • +
      • maxzoom: Overwrite default maxzoom. OPTIONAL
        • +
      • expression (str): rio-tiler's math expression with asset names (e.g Asset1_b1/Asset2_b1).
        • +
      • asset_as_band (bool): tell rio-tiler that each asset is a 1 band dataset, so expression Asset1/Asset2 can be passed.
        • +
      • asset_bidx (array[str]): Per asset band math expression (e.g Asset1|1;2;3).
        • +
      • nodata (str, int, float): Overwrite internal Nodata value.
        • +
      • unscale (bool): Apply dataset internal Scale/Offset.
        • +
      • resampling (str): RasterIO resampling algorithm. Defaults to nearest.
        • +
      • reproject (str): WarpKernel resampling algorithm (only used when doing re-projection). Defaults to nearest.
        • +
      • algorithm (str): Custom algorithm name (e.g hillshade).
        • +
      • algorithm_params (str): JSON encoded algorithm parameters.
        • +
      • rescale (array[str]): Comma (',') delimited Min,Max range (e.g rescale=0,1000, rescale=0,1000&rescale=0,3000&rescale=0,2000).
        • +
      • color_formula (str): rio-color formula.
        • +
      • colormap (str): JSON encoded custom Colormap.
        • +
      • colormap_name (str): rio-tiler color map name.
        • +
      • return_mask (bool): Add mask to the output data. Default is True.
        • +
      • buffer (float): Buffer on each side of the given tile. It must be a multiple of 0.5. Output tilesize will be expanded to tilesize + 2 * buffer (e.g 0.5 = 257x257, 1.0 = 258x258).
        • +
      • padding (int): Padding to apply to each tile edge. Helps reduce resampling artefacts along edges. Defaults to 0
        • +
      • pixel_selection (str): Pixel selection method (cogeotiff.github.io/rio-tiler/mosaic/).
        • +
      • scan_limit (int): Return as soon as we scan N items, Default is 10,000 in PgSTAC.
        • +
      • items_limit (int): Return as soon as we have N items per geometry, Default is 100 in PgSTAC.
        • +
      • time_limit (int): Return after N seconds to avoid long requests, Default is 5sec in PgSTAC.
        • +
      • exitwhenfull (bool): Return as soon as the geometry is fully covered, Default is True in PgSTAC.
        • +
      • skipcovered (bool): Skip any items that would show up completely under the previous items, Default is True in PgSTAC.
        • +
      +
      • +
    +
    +

    Important

    +

    assets OR expression is required

    +
    +

    Example:

    +
      +
    • https://myendpoint/collections/my-collection/tilejson.json?assets=B01
      • +
    • https://myendpoint/collections/my-collection/tilejson.json?assets=B01&tile_format=png
      • +
    • https://myendpoint/collections/my-collection/WorldCRS84Quad/tilejson.json?assets=B01&tile_scale=2
      • +
    +

    WMTS

    +

    :endpoint:/collections/{collection_id}[/{TileMatrixSetId}]/WMTSCapabilities.xml

    +
      +
    • +

      PathParams:

      +
        +
      • collection_id: STAC Collection Identifier.
        • +
      • TileMatrixSetId: TileMatrixSet name, default is WebMercatorQuad. OPTIONAL
        • +
      +
      • +
    • +

      QueryParams:

      +
        +
      • tile_format: Output image format, default is set to PNG.
        • +
      • tile_scale: Tile size scale, default is set to 1 (256x256). OPTIONAL
        • +
      • minzoom: Overwrite default minzoom. OPTIONAL
        • +
      • maxzoom: Overwrite default maxzoom. OPTIONAL
        • +
      +
      • +
    +
    +

    Important

    +

    additional query-parameters will be forwarded to the tile URL. If no defaults mosaic metadata, assets OR expression will be required

    +
    +

    Example:

    +
      +
    • https://myendpoint/collections/my-collection/WMTSCapabilities.xml?assets=B01
      • +
    • https://myendpoint/collections/my-collection/WMTSCapabilities.xml?assets=B01&tile_format=png
      • +
    • https://myendpoint/collections/my-collection/WorldCRS84Quad/WMTSCapabilities.xml?assets=B01&tile_scale=2
      • +
    +

    Assets

    +

    :endpoint:/collections/{collection_id}/tiles/[{TileMatrixSetId}]/{z}/{x}/{y}/assets

    +
      +
    • +

      PathParams:

      +
        +
      • collection_id: STAC Collection Identifier.
        • +
      • TileMatrixSetId: TileMatrixSet name, default is WebMercatorQuad. OPTIONAL
        • +
      • z: Tile's zoom level.
        • +
      • x: Tile's column.
        • +
      • y: Tile's row.
        • +
      +
      • +
    • +

      QueryParams:

      +
        +
      • scan_limit (int): Return as soon as we scan N items, Default is 10,000 in PgSTAC.
        • +
      • items_limit (int): Return as soon as we have N items per geometry, Default is 100 in PgSTAC.
        • +
      • time_limit (int): Return after N seconds to avoid long requests, Default is 5sec in PgSTAC.
        • +
      • exitwhenfull (bool): Return as soon as the geometry is fully covered, Default is True in PgSTAC.
        • +
      • skipcovered (bool): Skip any items that would show up completely under the previous items, Default is True in PgSTAC.
        • +
      +
      • +
    +

    Example:

    +
      +
    • https://myendpoint/collections/my-collection/tiles/0/0/0/assets
      • +
    +

    :endpoint:/collections/{collection_id}/{lon},{lat}/assets

    +
      +
    • +

      PathParams:

      +
        +
      • collection_id: STAC Collection Identifier.
        • +
      • lon: Longitude (in WGS84 CRS).
        • +
      • lat: Latitude (in WGS84 CRS).
        • +
      +
      • +
    • +

      QueryParams:

      +
        +
      • scan_limit (int): Return as soon as we scan N items, Default is 10,000 in PgSTAC.
        • +
      • items_limit (int): Return as soon as we have N items per geometry, Default is 100 in PgSTAC.
        • +
      • time_limit (int): Return after N seconds to avoid long requests, Default is 5sec in PgSTAC.
        • +
      • exitwhenfull (bool): Return as soon as the geometry is fully covered, Default is True in PgSTAC.
        • +
      • skipcovered (bool): Skip any items that would show up completely under the previous items, Default is True in PgSTAC.
        • +
      +
      • +
    +

    Example:

    +
      +
    • https://myendpoint/collections/my-collection/0.0,0.0/assets
      • +
    +

    Statistics

    +

    :endpoint:/collections/{collection_id}/statistics - [POST]

    +
      +
    • +

      Body:

      +
        +
      • feature (JSON): A valid GeoJSON feature or FeatureCollection
        • +
      +
      • +
    • +

      PathParams:

      +
        +
      • collection_id: STAC Collection Identifier.
        • +
      +
      • +
    • +

      QueryParams:

      +
        +
      • assets (array[str]): asset names.
        • +
      • expression (str): rio-tiler's math expression with asset names (e.g Asset1_b1/Asset2_b1).
        • +
      • asset_as_band (bool): tell rio-tiler that each asset is a 1 band dataset, so expression Asset1/Asset2 can be passed.
        • +
      • asset_bidx (array[str]): Per asset band math expression (e.g Asset1|1;2;3).
        • +
      • coord_crs (str): Coordinate Reference System of the input geometry. Default to epsg:4326.
        • +
      • dst_crs (str): Output Coordinate Reference System. Default to coord_crs.
        • +
      • max_size (int): Max image size from which to calculate statistics.
        • +
      • height (int): Force image height from which to calculate statistics.
        • +
      • width (int): Force image width from which to calculate statistics.
        • +
      • nodata: Overwrite internal Nodata value. OPTIONAL
        • +
      • unscale (bool): Apply dataset internal Scale/Offset.
        • +
      • resampling (str): RasterIO resampling algorithm. Defaults to nearest.
        • +
      • reproject (str): WarpKernel resampling algorithm (only used when doing re-projection). Defaults to nearest.
        • +
      • algorithm (str): Custom algorithm name (e.g hillshade).
        • +
      • algorithm_params (str): JSON encoded algorithm parameters.
        • +
      • categorical (bool): Return statistics for categorical dataset, default is false.
        • +
      • c (array[float]): Pixels values for categories.
        • +
      • p (array[int]): Percentile values.
        • +
      • histogram_bins (str): Histogram bins.
        • +
      • histogram_range (str): Comma (',') delimited Min,Max histogram bounds.
        • +
      • pixel_selection (str): Pixel selection method (cogeotiff.github.io/rio-tiler/mosaic/).
        • +
      • scan_limit (int): Return as soon as we scan N items, Default is 10,000 in PgSTAC.
        • +
      • items_limit (int): Return as soon as we have N items per geometry, Default is 100 in PgSTAC.
        • +
      • time_limit (int): Return after N seconds to avoid long requests, Default is 5sec in PgSTAC.
        • +
      • exitwhenfull (bool): Return as soon as the geometry is fully covered, Default is True in PgSTAC.
        • +
      • skipcovered (bool): Skip any items that would show up completely under the previous items, Default is True in PgSTAC.
        • +
      +
      • +
    +
    +

    Important

    +

    if height and width are provided max_size will be ignored.

    +
    +

    Example:

    +
      +
    • https://myendpoint/collections/my-collection/statistics?assets=B01
      • +
    +

    BBOX/Feature

    +

    :endpoint:/collections/{collection_id}/bbox/{minx},{miny},{maxx},{maxy}.{format}

    +

    :endpoint:/collections/{collection_id}/bbox/{minx},{miny},{maxx},{maxy}/{width}x{height}.{format}

    +
      +
    • +

      PathParams:

      +
        +
      • collection_id: STAC Collection Identifier.
        • +
      • minx,miny,maxx,maxy (str): Comma (',') delimited bounding box in WGS84.
        • +
      • format (str): Output image format.
        • +
      • height (int): Force output image height.
        • +
      • width (int): Force output image width.
        • +
      +
      • +
    • +

      QueryParams:

      +
        +
      • assets (array[str]): asset names.
        • +
      • expression (str): rio-tiler's math expression with asset names (e.g Asset1_b1/Asset2_b1).
        • +
      • asset_as_band (bool): tell rio-tiler that each asset is a 1 band dataset, so expression Asset1/Asset2 can be passed.
        • +
      • asset_bidx (array[str]): Per asset band math expression (e.g Asset1|1;2;3).
        • +
      • coord_crs (str): Coordinate Reference System of the input coordinates. Default to epsg:4326.
        • +
      • dst_crs (str): Output Coordinate Reference System. Default to coord_crs.
        • +
      • max_size (int): Max image size.
        • +
      • nodata: Overwrite internal Nodata value. OPTIONAL
        • +
      • unscale (bool): Apply dataset internal Scale/Offset.
        • +
      • resampling (str): RasterIO resampling algorithm. Defaults to nearest.
        • +
      • reproject (str): WarpKernel resampling algorithm (only used when doing re-projection). Defaults to nearest.
        • +
      • algorithm (str): Custom algorithm name (e.g hillshade).
        • +
      • algorithm_params (str): JSON encoded algorithm parameters.
        • +
      • rescale (array[str]): Comma (',') delimited Min,Max range (e.g rescale=0,1000, rescale=0,1000&rescale=0,3000&rescale=0,2000).
        • +
      • color_formula (str): rio-color formula.
        • +
      • colormap (str): JSON encoded custom Colormap.
        • +
      • colormap_name (str): rio-tiler color map name.
        • +
      • return_mask (bool): Add mask to the output data. Default is True.
        • +
      • pixel_selection (str): Pixel selection method (cogeotiff.github.io/rio-tiler/mosaic/).
        • +
      • scan_limit (int): Return as soon as we scan N items, Default is 10,000 in PgSTAC.
        • +
      • items_limit (int): Return as soon as we have N items per geometry, Default is 100 in PgSTAC.
        • +
      • time_limit (int): Return after N seconds to avoid long requests, Default is 5sec in PgSTAC.
        • +
      • exitwhenfull (bool): Return as soon as the geometry is fully covered, Default is True in PgSTAC.
        • +
      • skipcovered (bool): Skip any items that would show up completely under the previous items, Default is True in PgSTAC.
        • +
      +
      • +
    +
    +

    Important

    +

    if height and width are provided max_size will be ignored.

    +
    +

    Example:

    +
      +
    • https://myendpoint/collections/my-collection/bbox/0,0,10,10.png?assets=B01
      • +
    • https://myendpoint/collections/my-collection/bbox/0,0,10,10/400x300.png?assets=B01
      • +
    +

    :endpoint:/collections/{collection_id}/feature[/{width}x{height}][].{format}] - [POST]

    +
      +
    • +

      Body:

      +
        +
      • feature (JSON): A valid GeoJSON feature (Polygon or MultiPolygon)
        • +
      +
      • +
    • +

      PathParams:

      +
        +
      • collection_id: STAC Collection Identifier.
        • +
      • height (int): Force output image height. Optional
        • +
      • width (int): Force output image width. Optional
        • +
      • format (str): Output image format, default is set to None and will be either JPEG or PNG depending on masked value. Optional
        • +
      +
      • +
    • +

      QueryParams:

      +
        +
      • assets (array[str]): asset names.
        • +
      • expression (str): rio-tiler's math expression with asset names (e.g Asset1_b1/Asset2_b1).
        • +
      • asset_as_band (bool): tell rio-tiler that each asset is a 1 band dataset, so expression Asset1/Asset2 can be passed.
        • +
      • asset_bidx (array[str]): Per asset band math expression (e.g Asset1|1;2;3).
        • +
      • coord_crs (str): Coordinate Reference System of the input geometry. Default to epsg:4326.
        • +
      • dst_crs (str): Output Coordinate Reference System. Default to coord_crs.
        • +
      • max_size (int): Max image size.
        • +
      • nodata: Overwrite internal Nodata value. OPTIONAL
        • +
      • unscale (bool): Apply dataset internal Scale/Offset.
        • +
      • resampling (str): RasterIO resampling algorithm. Defaults to nearest.
        • +
      • reproject (str): WarpKernel resampling algorithm (only used when doing re-projection). Defaults to nearest.
        • +
      • algorithm (str): Custom algorithm name (e.g hillshade).
        • +
      • algorithm_params (str): JSON encoded algorithm parameters.
        • +
      • rescale (array[str]): Comma (',') delimited Min,Max range (e.g rescale=0,1000, rescale=0,1000&rescale=0,3000&rescale=0,2000).
        • +
      • color_formula (str): rio-color formula.
        • +
      • colormap (str): JSON encoded custom Colormap.
        • +
      • colormap_name (str): rio-tiler color map name.
        • +
      • return_mask (bool): Add mask to the output data. Default is True.
        • +
      • pixel_selection (str): Pixel selection method (cogeotiff.github.io/rio-tiler/mosaic/).
        • +
      • scan_limit (int): Return as soon as we scan N items, Default is 10,000 in PgSTAC.
        • +
      • items_limit (int): Return as soon as we have N items per geometry, Default is 100 in PgSTAC.
        • +
      • time_limit (int): Return after N seconds to avoid long requests, Default is 5sec in PgSTAC.
        • +
      • exitwhenfull (bool): Return as soon as the geometry is fully covered, Default is True in PgSTAC.
        • +
      • skipcovered (bool): Skip any items that would show up completely under the previous items, Default is True in PgSTAC.
        • +
      +
      • +
    +
    +

    Important

    +

    if height and width are provided max_size will be ignored.

    +
    +

    Example:

    +
      +
    • https://myendpoint/collections/my-collection/feature?assets=B01
      • +
    • https://myendpoint/collections/my-collection/feature.png?assets=B01f
      • +
    • https://myendpoint/collections/my-collection/feature/100x100.png?assets=B01
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    Endpoints

    + +

    + titiler-pgstac OpenAPI documentation +

    + +

    By default the main application (titiler.pgstac.main.app) provides three sets of endpoints:

    +
      +
    • Searches: Dynamic mosaic tiler based on PgSTAC Search Query
      • +
    • Collections: Dynamic mosaic tiler based on STAC Collection
      • +
    • Items: Dynamic tiler for single STAC item (stored in PgSTAC)
      • +
    • TileMatrixSet: Available TileMatrixSets for the service
      • +
    + + + + + + +
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    + titiler-pgstac OpenAPI documentation +

    + +By default the main application (`titiler.pgstac.main.app`) provides three sets of endpoints: + +- [**Searches**](searches_endpoints.md): Dynamic **mosaic** tiler based on PgSTAC Search Query +- [**Collections**](collections_endpoints.md): Dynamic **mosaic** tiler based on STAC Collection +- [**Items**](items_endpoints.md): Dynamic tiler for single STAC item (stored in PgSTAC) +- [**TileMatrixSet**](tms_endpoints.md): Available TileMatrixSets for the service diff --git a/1.0.0/endpoints/items_endpoints/index.html b/1.0.0/endpoints/items_endpoints/index.html new file mode 100644 index 00000000..f72dd4ce --- /dev/null +++ b/1.0.0/endpoints/items_endpoints/index.html @@ -0,0 +1,1738 @@ + + + + + + + + + + + + + + + + + + + + Items - TiTiler.PgSTAC + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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    + + + + + + + + + +

    Items

    + +

    STAC Items endpoints

    +

    The Item endpoints are created using TiTiler's MultiBaseTilerFactory

    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    MethodURLOutputDescription
    GET/collections/{collection_id}/items/{item_id}/boundsJSON (Bounds)return dataset's bounds
    GET/collections/{collection_id}/items/{item_id}/assetsJSONreturn the list of available assets
    GET/collections/{collection_id}/items/{item_id}/infoJSON (Info)return assets basic info
    GET/collections/{collection_id}/items/{item_id}/info.geojsonGeoJSON (InfoGeoJSON)return assets basic info as a GeoJSON feature
    GET/collections/{collection_id}/items/{item_id}/asset_statisticsJSON (Statistics)return per asset statistics
    GET/collections/{collection_id}/items/{item_id}/statisticsJSON (Statistics)return assets statistics (merged)
    POST/collections/{collection_id}/items/{item_id}/statisticsGeoJSON (Statistics)return assets statistics for a GeoJSON (merged)
    GET/collections/{collection_id}/items/{item_id}/tiles[/{TileMatrixSetId}]/{z}/{x}/{y}[@{scale}x][.{format}]image/bincreate a web map tile image from assets
    GET/collections/{collection_id}/items/{item_id}[/{TileMatrixSetId}]/tilejson.jsonJSON (TileJSON)return a Mapbox TileJSON document
    GET/collections/{collection_id}/items/{item_id}[/{TileMatrixSetId}]/WMTSCapabilities.xmlXMLreturn OGC WMTS Get Capabilities
    GET/collections/{collection_id}/items/{item_id}[/{TileMatrixSetId}]/mapHTMLsimple map viewer
    GET/collections/{collection_id}/items/{item_id}/point/{lon},{lat}JSON (Point)return pixel values from assets
    GET/collections/{collection_id}/items/{item_id}/preview[.{format}]image/bincreate a preview image from assets
    GET/collections/{collection_id}/items/{item_id}/bbox/{minx},{miny},{maxx},{maxy}[/{width}x{height}].{format}image/bincreate an image from part of assets
    POST/collections/{collection_id}/items/{item_id}/feature[/{width}x{height}][.{format}]image/bincreate an image from a geojson feature intersecting assets
    +

    Tiles

    +

    :endpoint:/collections/{collection_id}/items/{item_id}/tiles[/{TileMatrixSetId}]/{z}/{x}/{y}[@{scale}x][.{format}]

    +
      +
    • +

      PathParams:

      +
        +
      • collection_id (str): STAC Collection Identifier.
        • +
      • item_id (str): STAC Item Identifier.
        • +
      • TileMatrixSetId (str): TileMatrixSet name, default is WebMercatorQuad. Optional
        • +
      • z (int): TMS tile's zoom level.
        • +
      • x (int): TMS tile's column.
        • +
      • y (int): TMS tile's row.
        • +
      • scale (int): Tile size scale, default is set to 1 (256x256). Optional
        • +
      • format (str): Output image format, default is set to None and will be either JPEG or PNG depending on masked value. Optional
        • +
      +
      • +
    • +

      QueryParams:

      +
        +
      • assets (array[str]): asset names.
        • +
      • expression (str): rio-tiler's math expression with asset names (e.g Asset1_b1/Asset2_b1).
        • +
      • asset_as_band (bool): tell rio-tiler that each asset is a 1 band dataset, so expression Asset1/Asset2 can be passed.
        • +
      • asset_bidx (array[str]): Per asset band math expression (e.g Asset1|1;2;3).
        • +
      • nodata (str, int, float): Overwrite internal Nodata value.
        • +
      • unscale (bool): Apply dataset internal Scale/Offset.
        • +
      • resampling (str): RasterIO resampling algorithm. Defaults to nearest.
        • +
      • reproject (str): WarpKernel resampling algorithm (only used when doing re-projection). Defaults to nearest.
        • +
      • algorithm (str): Custom algorithm name (e.g hillshade).
        • +
      • algorithm_params (str): JSON encoded algorithm parameters.
        • +
      • rescale (array[str]): Comma (',') delimited Min,Max range (e.g rescale=0,1000, rescale=0,1000&rescale=0,3000&rescale=0,2000).
        • +
      • color_formula (str): rio-color formula.
        • +
      • colormap (str): JSON encoded custom Colormap.
        • +
      • colormap_name (str): rio-tiler color map name.
        • +
      • return_mask (bool): Add mask to the output data. Default is True.
        • +
      • buffer (float): Buffer on each side of the given tile. It must be a multiple of 0.5. Output tilesize will be expanded to tilesize + 2 * buffer (e.g 0.5 = 257x257, 1.0 = 258x258).
        • +
      • padding (int): Padding to apply to each tile edge. Helps reduce resampling artefacts along edges. Defaults to 0
        • +
      • algorithm (str): Custom algorithm name (e.g hillshade).
        • +
      • algorithm_params (str): JSON encoded algorithm parameters.
        • +
      +
      • +
    +
    +

    Important

    +

    assets OR expression is required

    +
    +

    Example:

    +
      +
    • https://myendpoint/collections/mycollection/items/oneitem/tiles/1/2/3?assets=B01&assets=B00
      • +
    • https://myendpoint/collections/mycollection/items/oneitem/tiles/1/2/3.jpg?assets=B01
      • +
    • https://myendpoint/collections/mycollection/items/oneitem/tiles/WorldCRS84Quad/1/2/3@2x.png?assets=B01
      • +
    • https://myendpoint/collections/mycollection/items/oneitem/tiles/WorldCRS84Quad/1/2/3?expression=B01/B02&rescale=0,1000&colormap_name=cfastie&asset_as_band=True
      • +
    +

    Preview

    +

    :endpoint:/collections/{collection_id}/items/{item_id}/preview[.{format}]

    +
      +
    • +

      PathParams:

      +
        +
      • collection_id (str): STAC Collection Identifier.
        • +
      • item_id (str): STAC Item Identifier.
        • +
      • format: Output image format, default is set to None and will be either JPEG or PNG depending on masked value. Optional
        • +
      +
      • +
    • +

      QueryParams:

      +
        +
      • assets (array[str]): asset names.
        • +
      • expression (str): rio-tiler's math expression with asset names (e.g Asset1_b1/Asset2_b1).
        • +
      • asset_as_band (bool): tell rio-tiler that each asset is a 1 band dataset, so expression Asset1/Asset2 can be passed.
        • +
      • asset_bidx (array[str]): Per asset band math expression (e.g Asset1|1;2;3).
        • +
      • max_size (int): Max image size, default is 1024.
        • +
      • height (int): Force output image height.
        • +
      • width (int): Force output image width.
        • +
      • dst_crs (str): Output Coordinate Reference System. Default to dataset's CRS.
        • +
      • nodata (str, int, float): Overwrite internal Nodata value.
        • +
      • unscale (bool): Apply dataset internal Scale/Offset.
        • +
      • algorithm (str): Custom algorithm name (e.g hillshade).
        • +
      • algorithm_params (str): JSON encoded algorithm parameters.
        • +
      • resampling (str): RasterIO resampling algorithm. Defaults to nearest.
        • +
      • reproject (str): WarpKernel resampling algorithm (only used when doing re-projection). Defaults to nearest.
        • +
      • rescale (array[str]): Comma (',') delimited Min,Max range (e.g rescale=0,1000, rescale=0,1000&rescale=0,3000&rescale=0,2000).
        • +
      • color_formula (str): rio-color formula.
        • +
      • colormap (str): JSON encoded custom Colormap.
        • +
      • colormap_name (str): rio-tiler color map name.
        • +
      • return_mask (bool): Add mask to the output data. Default is True.
        • +
      • algorithm (str): Custom algorithm name (e.g hillshade).
        • +
      • algorithm_params (str): JSON encoded algorithm parameters.
        • +
      +
      • +
    +
    +

    Important

    +
      +
    • +

      assets OR expression is required

      +
      • +
    • +

      if height and width are provided max_size will be ignored.

      +
      • +
    +
    +

    Example:

    +
      +
    • https://myendpoint/collections/mycollection/items/oneitem/preview?assets=B01
      • +
    • https://myendpoint/collections/mycollection/items/oneitem/preview.jpg?assets=B01
      • +
    • https://myendpoint/collections/mycollection/items/oneitem/preview?assets=B01&rescale=0,1000&colormap_name=cfastie
      • +
    +

    BBOX/Feature

    +

    :endpoint:/collections/{collection_id}/items/{item_id}/bbox/{minx},{miny},{maxx},{maxy}.{format} +:endpoint:/collections/{collection_id}/items/{item_id}/bbox/{minx},{miny},{maxx},{maxy}/{width}x{height}.{format}

    +
      +
    • +

      PathParams:

      +
        +
      • collection_id (str): STAC Collection Identifier.
        • +
      • item_id (str): STAC Item Identifier.
        • +
      • minx,miny,maxx,maxy (str): Comma (',') delimited bounding box in WGS84.
        • +
      • height (int): Force output image height. Optional
        • +
      • width (int): Force output image width. Optional
        • +
      • format (str): Output image format, default is set to None and will be either JPEG or PNG depending on masked value. Optional
        • +
      +
      • +
    • +

      QueryParams:

      +
        +
      • assets (array[str]): asset names.
        • +
      • expression (str): rio-tiler's math expression with asset names (e.g Asset1_b1/Asset2_b1).
        • +
      • asset_as_band (bool): tell rio-tiler that each asset is a 1 band dataset, so expression Asset1/Asset2 can be passed.
        • +
      • asset_bidx (array[str]): Per asset band math expression (e.g Asset1|1;2;3).
        • +
      • max_size (int): Max image size.
        • +
      • coord_crs (str): Coordinate Reference System of the input coordinates. Default to epsg:4326.
        • +
      • dst_crs (str): Output Coordinate Reference System. Default to coord_crs.
        • +
      • nodata (str, int, float): Overwrite internal Nodata value.
        • +
      • unscale (bool): Apply dataset internal Scale/Offset.
        • +
      • algorithm (str): Custom algorithm name (e.g hillshade).
        • +
      • algorithm_params (str): JSON encoded algorithm parameters.
        • +
      • resampling (str): RasterIO resampling algorithm. Defaults to nearest.
        • +
      • reproject (str): WarpKernel resampling algorithm (only used when doing re-projection). Defaults to nearest.
        • +
      • rescale (array[str]): Comma (',') delimited Min,Max range (e.g rescale=0,1000, rescale=0,1000&rescale=0,3000&rescale=0,2000).
        • +
      • color_formula (str): rio-color formula.
        • +
      • colormap (str): JSON encoded custom Colormap.
        • +
      • colormap_name (str): rio-tiler color map name.
        • +
      • return_mask (bool): Add mask to the output data. Default is True.
        • +
      • algorithm (str): Custom algorithm name (e.g hillshade).
        • +
      • algorithm_params (str): JSON encoded algorithm parameters.
        • +
      +
      • +
    +
    +

    Important

    +
      +
    • +

      assets OR expression is required

      +
      • +
    • +

      if height and width are provided max_size will be ignored.

      +
      • +
    +
    +

    Example:

    +
      +
    • https://myendpoint/collections/mycollection/items/oneitem/bbox/0,0,10,10.png?assets=B01
      • +
    • https://myendpoint/collections/mycollection/items/oneitem/bbox/0,0,10,10.png?assets=B01&rescale=0,1000&colormap_name=cfastie
      • +
    +

    :endpoint:/collections/{collection_id}/items/{item_id}/feature[/{width}x{height}][].{format}] - [POST]

    +
      +
    • +

      Body:

      +
        +
      • feature (JSON): A valid GeoJSON feature (Polygon or MultiPolygon)
        • +
      +
      • +
    • +

      PathParams:

      +
        +
      • collection_id (str): STAC Collection Identifier.
        • +
      • item_id (str): STAC Item Identifier.
        • +
      • height (int): Force output image height. Optional
        • +
      • width (int): Force output image width. Optional
        • +
      • format (str): Output image format, default is set to None and will be either JPEG or PNG depending on masked value. Optional
        • +
      +
      • +
    • +

      QueryParams:

      +
        +
      • assets (array[str]): asset names.
        • +
      • expression (str): rio-tiler's math expression with asset names (e.g Asset1_b1/Asset2_b1).
        • +
      • asset_as_band (bool): tell rio-tiler that each asset is a 1 band dataset, so expression Asset1/Asset2 can be passed.
        • +
      • asset_bidx (array[str]): Per asset band math expression (e.g Asset1|1;2;3).
        • +
      • max_size (int): Max image size.
        • +
      • coord_crs (str): Coordinate Reference System of the input coordinates. Default to epsg:4326.
        • +
      • dst_crs (str): Output Coordinate Reference System. Default to coord_crs.
        • +
      • nodata (str, int, float): Overwrite internal Nodata value.
        • +
      • unscale (bool): Apply dataset internal Scale/Offset.
        • +
      • resampling (str): RasterIO resampling algorithm. Defaults to nearest.
        • +
      • reproject (str): WarpKernel resampling algorithm (only used when doing re-projection). Defaults to nearest.
        • +
      • algorithm (str): Custom algorithm name (e.g hillshade).
        • +
      • algorithm_params (str): JSON encoded algorithm parameters.
        • +
      • rescale (array[str]): Comma (',') delimited Min,Max range (e.g rescale=0,1000, rescale=0,1000&rescale=0,3000&rescale=0,2000).
        • +
      • color_formula (str): rio-color formula.
        • +
      • colormap (str): JSON encoded custom Colormap.
        • +
      • colormap_name (str): rio-tiler color map name.
        • +
      • return_mask (bool): Add mask to the output data. Default is True.
        • +
      • algorithm (str): Custom algorithm name (e.g hillshade).
        • +
      • algorithm_params (str): JSON encoded algorithm parameters.
        • +
      +
      • +
    +
    +

    Important

    +
      +
    • +

      assets OR expression is required

      +
      • +
    • +

      if height and width are provided max_size will be ignored.

      +
      • +
    +
    +

    Example:

    +
      +
    • https://myendpoint/collections/mycollection/items/oneitem/crop?assets=B01
      • +
    • https://myendpoint/collections/mycollection/items/oneitem/crop.png?assets=B01
      • +
    • https://myendpoint/collections/mycollection/items/oneitem/100x100.png?assets=B01&rescale=0,1000&colormap_name=cfastie
      • +
    +

    Point

    +

    :endpoint:/collections/{collection_id}/items/{item_id}/point/{lon},{lat}

    +
      +
    • +

      PathParams:

      +
        +
      • collection_id (str): STAC Collection Identifier.
        • +
      • item_id (str): STAC Item Identifier.
        • +
      • lon,lat, (str): Comma (',') delimited point Longitude and Latitude WGS84.
        • +
      +
      • +
    • +

      QueryParams:

      +
        +
      • assets (array[str]): asset names.
        • +
      • expression (str): rio-tiler's math expression with asset names (e.g Asset1_b1/Asset2_b1).
        • +
      • asset_as_band (bool): tell rio-tiler that each asset is a 1 band dataset, so expression Asset1/Asset2 can be passed.
        • +
      • asset_bidx (array[str]): Per asset band math expression (e.g Asset1|1;2;3).
        • +
      • nodata (str, int, float): Overwrite internal Nodata value.
        • +
      • unscale (bool): Apply dataset internal Scale/Offset.
        • +
      • resampling (str): RasterIO resampling algorithm. Defaults to nearest.
        • +
      • reproject (str): WarpKernel resampling algorithm (only used when doing re-projection). Defaults to nearest.
        • +
      +
      • +
    +
    +

    Important

    +

    assets OR expression is required

    +
    +

    Example:

    +
      +
    • https://myendpoint/collections/mycollection/items/oneitem/point/0,0?assets=B01
      • +
    +

    TilesJSON

    +

    :endpoint:/collections/{collection_id}/items/{item_id}[/{TileMatrixSetId}]/tilejson.json tileJSON document

    +
      +
    • +

      PathParams:

      +
        +
      • collection_id (str): STAC Collection Identifier.
        • +
      • item_id (str): STAC Item Identifier.
        • +
      • TileMatrixSetId: TileMatrixSet name, default is WebMercatorQuad.
        • +
      +
      • +
    • +

      QueryParams:

      +
        +
      • assets (array[str]): asset names.
        • +
      • expression (str): rio-tiler's math expression with asset names (e.g Asset1_b1/Asset2_b1).
        • +
      • asset_as_band (bool): tell rio-tiler that each asset is a 1 band dataset, so expression Asset1/Asset2 can be passed.
        • +
      • asset_bidx (array[str]): Per asset band math expression (e.g Asset1|1;2;3).
        • +
      • tile_format (str): Output image format, default is set to None and will be either JPEG or PNG depending on masked value.
        • +
      • tile_scale (int): Tile size scale, default is set to 1 (256x256).
        • +
      • minzoom (int): Overwrite default minzoom.
        • +
      • maxzoom (int): Overwrite default maxzoom.
        • +
      • nodata (str, int, float): Overwrite internal Nodata value.
        • +
      • unscale (bool): Apply dataset internal Scale/Offset.
        • +
      • resampling (str): RasterIO resampling algorithm. Defaults to nearest.
        • +
      • reproject (str): WarpKernel resampling algorithm (only used when doing re-projection). Defaults to nearest.
        • +
      • algorithm (str): Custom algorithm name (e.g hillshade).
        • +
      • algorithm_params (str): JSON encoded algorithm parameters.
        • +
      • rescale (array[str]): Comma (',') delimited Min,Max range (e.g rescale=0,1000, rescale=0,1000&rescale=0,3000&rescale=0,2000).
        • +
      • color_formula (str): rio-color formula.
        • +
      • colormap (str): JSON encoded custom Colormap.
        • +
      • colormap_name (str): rio-tiler color map name.
        • +
      • return_mask (bool): Add mask to the output data. Default is True.
        • +
      • buffer (float): Buffer on each side of the given tile. It must be a multiple of 0.5. Output tilesize will be expanded to tilesize + 2 * buffer (e.g 0.5 = 257x257, 1.0 = 258x258).
        • +
      • padding (int): Padding to apply to each tile edge. Helps reduce resampling artefacts along edges. Defaults to 0
        • +
      +
      • +
    +
    +

    Important

    +

    assets OR expression is required

    +
    +

    Example:

    +
      +
    • https://myendpoint/collections/mycollection/items/oneitem/tilejson.json?assets=B01
      • +
    • https://myendpoint/collections/mycollection/items/oneitem/tilejson.json?assets=B01&tile_format=png
      • +
    • https://myendpoint/collections/mycollection/items/oneitem/WorldCRS84Quad/tilejson.json?tile_scale=2&expression=B01/B02&asset_as_band=True
      • +
    +

    Bounds

    +

    :endpoint:/collections/{collection_id}/items/{item_id}/bounds - Return the bounds of the STAC item.

    +
      +
    • PathParams:
        +
      • collection_id (str): STAC Collection Identifier.
        • +
      • item_id (str): STAC Item Identifier.
        • +
      +
      • +
    +

    Example:

    +
      +
    • https://myendpoint/collections/mycollection/items/oneitem/bounds
      • +
    +

    Info

    +

    :endpoint:/collections/{collection_id}/items/{item_id}/info - Return basic info on STAC item's COG.

    +
      +
    • +

      PathParams:

      +
        +
      • collection_id (str): STAC Collection Identifier.
        • +
      • item_id (str): STAC Item Identifier.
        • +
      +
      • +
    • +

      QueryParams:

      +
        +
      • assets (array[str]): asset names. Default to all available assets.
        • +
      +
      • +
    +

    Example:

    +
      +
    • https://myendpoint/collections/mycollection/items/oneitem/info?assets=B01
      • +
    +

    :endpoint:/collections/{collection_id}/items/{item_id}/info.geojson - Return basic info on STAC item's COG as a GeoJSON feature

    +
      +
    • +

      PathParams:

      +
        +
      • collection_id (str): STAC Collection Identifier.
        • +
      • item_id (str): STAC Item Identifier.
        • +
      +
      • +
    • +

      QueryParams:

      +
        +
      • collection (str): STAC Collection Identifier. Required
        • +
      • item (str): STAC Item Identifier. Required
        • +
      • assets (array[str]): asset names. Default to all available assets.
        • +
      +
      • +
    +

    Example:

    +
      +
    • https://myendpoint/collections/mycollection/items/oneitem/info.geojson?assets=B01
      • +
    +

    :endpoint:/collections/{collection_id}/items/{item_id}/assets - Return the list of available assets

    +

    Available Assets

    +

    :endpoint:/collections/{collection_id}/items/{item_id}/assets - Return a list of available assets

    +
      +
    • PathParams:
        +
      • collection_id (str): STAC Collection Identifier.
        • +
      • item_id (str): STAC Item Identifier.
        • +
      +
      • +
    +

    Example:

    +
      +
    • https://myendpoint/collections/mycollection/items/oneitem/assets
      • +
    +

    Statistics

    +

    :endpoint:/collections/{collection_id}/items/{item_id}/asset_statistics - [GET]

    +
      +
    • +

      PathParams:

      +
        +
      • collection_id (str): STAC Collection Identifier.
        • +
      • item_id (str): STAC Item Identifier.
        • +
      +
      • +
    • +

      QueryParams:

      +
        +
      • collection (str): STAC Collection Identifier. Required
        • +
      • item (str): STAC Item Identifier. Required
        • +
      • assets (array[str]): asset names. Default to all available assets.
        • +
      • asset_bidx (array[str]): Per asset band math expression (e.g Asset1|1;2;3).
        • +
      • asset_expression (array[str]): Per asset band math expression (e.g Asset1|b1\*b2).
        • +
      • max_size (int): Max image size from which to calculate statistics, default is 1024.
        • +
      • height (int): Force image height from which to calculate statistics.
        • +
      • width (int): Force image width from which to calculate statistics.
        • +
      • nodata (str, int, float): Overwrite internal Nodata value.
        • +
      • unscale (bool): Apply dataset internal Scale/Offset.
        • +
      • resampling (str): RasterIO resampling algorithm. Defaults to nearest.
        • +
      • categorical (bool): Return statistics for categorical dataset, default is false.
        • +
      • c (array[float]): Pixels values for categories.
        • +
      • p (array[int]): Percentile values.
        • +
      • histogram_bins (str): Histogram bins.
        • +
      • histogram_range (str): Comma (',') delimited Min,Max histogram bounds
        • +
      +
      • +
    +

    Example:

    +
      +
    • https://myendpoint/collections/mycollection/items/oneitem/statistics?assets=B01&categorical=true&c=1&c=2&c=3&p=2&p98
      • +
    +

    :endpoint:/collections/{collection_id}/items/{item_id}/statistics - [GET]

    +
      +
    • +

      PathParams:

      +
        +
      • collection_id (str): STAC Collection Identifier.
        • +
      • item_id (str): STAC Item Identifier.
        • +
      +
      • +
    • +

      QueryParams:

      +
        +
      • collection (str): STAC Collection Identifier. Required
        • +
      • item (str): STAC Item Identifier. Required
        • +
      • assets (array[str]): asset names.
        • +
      • expression (str): rio-tiler's math expression with asset names (e.g Asset1_b1/Asset2_b1).
        • +
      • asset_as_band (bool): tell rio-tiler that each asset is a 1 band dataset, so expression Asset1/Asset2 can be passed.
        • +
      • asset_bidx (array[str]): Per asset band math expression (e.g Asset1|1;2;3).
        • +
      • max_size (int): Max image size from which to calculate statistics, default is 1024.
        • +
      • height (int): Force image height from which to calculate statistics.
        • +
      • width (int): Force image width from which to calculate statistics.
        • +
      • nodata (str, int, float): Overwrite internal Nodata value.
        • +
      • unscale (bool): Apply dataset internal Scale/Offset.
        • +
      • resampling (str): RasterIO resampling algorithm. Defaults to nearest.
        • +
      • categorical (bool): Return statistics for categorical dataset, default is false.
        • +
      • c (array[float]): Pixels values for categories.
        • +
      • p (array[int]): Percentile values.
        • +
      • histogram_bins (str): Histogram bins.
        • +
      • histogram_range (str): Comma (',') delimited Min,Max histogram bounds
        • +
      +
      • +
    +

    Example:

    +
      +
    • https://myendpoint/collections/mycollection/items/oneitem/statistics?assets=B01&categorical=true&c=1&c=2&c=3&p=2&p98
      • +
    +

    :endpoint:/collections/{collection_id}/items/{item_id}/statistics - [POST]

    +
      +
    • +

      Body:

      +
        +
      • feature (JSON): A valid GeoJSON feature or FeatureCollection
        • +
      +
      • +
    • +

      PathParams:

      +
        +
      • collection_id (str): STAC Collection Identifier.
        • +
      • item_id (str): STAC Item Identifier.
        • +
      +
      • +
    • +

      QueryParams:

      +
        +
      • assets (array[str]): asset names.
        • +
      • expression (str): rio-tiler's math expression with asset names (e.g Asset1_b1/Asset2_b1).
        • +
      • asset_as_band (bool): tell rio-tiler that each asset is a 1 band dataset, so expression Asset1/Asset2 can be passed.
        • +
      • asset_bidx (array[str]): Per asset band math expression (e.g Asset1|1;2;3).
        • +
      • max_size (int): Max image size from which to calculate statistics.
        • +
      • height (int): Force image height from which to calculate statistics.
        • +
      • width (int): Force image width from which to calculate statistics.
        • +
      • coord_crs (str): Coordinate Reference System of the input coordinates. Default to epsg:4326.
        • +
      • dst_crs (str): Output Coordinate Reference System. Default to coord_crs.
        • +
      • nodata (str, int, float): Overwrite internal Nodata value.
        • +
      • unscale (bool): Apply dataset internal Scale/Offset.
        • +
      • resampling (str): RasterIO resampling algorithm. Defaults to nearest.
        • +
      • reproject (str): WarpKernel resampling algorithm (only used when doing re-projection). Defaults to nearest.
        • +
      • categorical (bool): Return statistics for categorical dataset, default is false.
        • +
      • c (array[float]): Pixels values for categories.
        • +
      • p (array[int]): Percentile values.
        • +
      • histogram_bins (str): Histogram bins.
        • +
      • histogram_range (str): Comma (',') delimited Min,Max histogram bounds
        • +
      +
      • +
    +

    Example:

    +
      +
    • https://myendpoint/collections/mycollection/items/oneitem/statistics?assets=B01&categorical=true&c=1&c=2&c=3&p=2&p98
      • +
    + + + + + + +
    +
    + + +
    + +
    + + + +
    +
    +
    +
    + + + + + + + + + + \ No newline at end of file diff --git a/1.0.0/endpoints/items_endpoints/items_endpoints.md b/1.0.0/endpoints/items_endpoints/items_endpoints.md new file mode 100644 index 00000000..5934a41e --- /dev/null +++ b/1.0.0/endpoints/items_endpoints/items_endpoints.md @@ -0,0 +1,429 @@ +### STAC Items endpoints + +The `Item` endpoints are created using TiTiler's [MultiBaseTilerFactory](https://developmentseed.org/titiler/advanced/tiler_factories/#titilercorefactorymultibasetilerfactory) + +| Method | URL | Output | Description +| ------ | -------------------------------------------------------------------- |------------------------------------------------- |-------------- +| `GET` | `/collections/{collection_id}/items/{item_id}/bounds` | JSON ([Bounds][bounds_model]) | return dataset's bounds +| `GET` | `/collections/{collection_id}/items/{item_id}/assets` | JSON | return the list of available assets +| `GET` | `/collections/{collection_id}/items/{item_id}/info` | JSON ([Info][multiinfo_model]) | return assets basic info +| `GET` | `/collections/{collection_id}/items/{item_id}/info.geojson` | GeoJSON ([InfoGeoJSON][multiinfo_geojson_model]) | return assets basic info as a GeoJSON feature +| `GET` | `/collections/{collection_id}/items/{item_id}/asset_statistics` | JSON ([Statistics][multistats_model]) | return per asset statistics +| `GET` | `/collections/{collection_id}/items/{item_id}/statistics` | JSON ([Statistics][stats_model]) | return assets statistics (merged) +| `POST` | `/collections/{collection_id}/items/{item_id}/statistics` | GeoJSON ([Statistics][multistats_geojson_model]) | return assets statistics for a GeoJSON (merged) +| `GET` | `/collections/{collection_id}/items/{item_id}/tiles[/{TileMatrixSetId}]/{z}/{x}/{y}[@{scale}x][.{format}]` | image/bin | create a web map tile image from assets +| `GET` | `/collections/{collection_id}/items/{item_id}[/{TileMatrixSetId}]/tilejson.json` | JSON ([TileJSON][tilejson_model]) | return a Mapbox TileJSON document +| `GET` | `/collections/{collection_id}/items/{item_id}[/{TileMatrixSetId}]/WMTSCapabilities.xml` | XML | return OGC WMTS Get Capabilities +| `GET` | `/collections/{collection_id}/items/{item_id}[/{TileMatrixSetId}]/map` | HTML | simple map viewer +| `GET` | `/collections/{collection_id}/items/{item_id}/point/{lon},{lat}` | JSON ([Point][multipoint_model]) | return pixel values from assets +| `GET` | `/collections/{collection_id}/items/{item_id}/preview[.{format}]` | image/bin | create a preview image from assets +| `GET` | `/collections/{collection_id}/items/{item_id}/bbox/{minx},{miny},{maxx},{maxy}[/{width}x{height}].{format}` | image/bin | create an image from part of assets +| `POST` | `/collections/{collection_id}/items/{item_id}/feature[/{width}x{height}][.{format}]` | image/bin | create an image from a geojson feature intersecting assets + +### Tiles + +`:endpoint:/collections/{collection_id}/items/{item_id}/tiles[/{TileMatrixSetId}]/{z}/{x}/{y}[@{scale}x][.{format}]` + +- PathParams: + - **collection_id** (str): STAC Collection Identifier. + - **item_id** (str): STAC Item Identifier. + - **TileMatrixSetId** (str): TileMatrixSet name, default is `WebMercatorQuad`. **Optional** + - **z** (int): TMS tile's zoom level. + - **x** (int): TMS tile's column. + - **y** (int): TMS tile's row. + - **scale** (int): Tile size scale, default is set to 1 (256x256). **Optional** + - **format** (str): Output image format, default is set to None and will be either JPEG or PNG depending on masked value. **Optional** + +- QueryParams: + - **assets** (array[str]): asset names. + - **expression** (str): rio-tiler's math expression with asset names (e.g `Asset1_b1/Asset2_b1`). + - **asset_as_band** (bool): tell rio-tiler that each asset is a 1 band dataset, so expression `Asset1/Asset2` can be passed. + - **asset_bidx** (array[str]): Per asset band math expression (e.g `Asset1|1;2;3`). + - **nodata** (str, int, float): Overwrite internal Nodata value. + - **unscale** (bool): Apply dataset internal Scale/Offset. + - **resampling** (str): RasterIO resampling algorithm. Defaults to `nearest`. + - **reproject** (str): WarpKernel resampling algorithm (only used when doing re-projection). Defaults to `nearest`. + - **algorithm** (str): Custom algorithm name (e.g `hillshade`). + - **algorithm_params** (str): JSON encoded algorithm parameters. + - **rescale** (array[str]): Comma (',') delimited Min,Max range (e.g `rescale=0,1000`, `rescale=0,1000&rescale=0,3000&rescale=0,2000`). + - **color_formula** (str): rio-color formula. + - **colormap** (str): JSON encoded custom Colormap. + - **colormap_name** (str): rio-tiler color map name. + - **return_mask** (bool): Add mask to the output data. Default is True. + - **buffer** (float): Buffer on each side of the given tile. It must be a multiple of `0.5`. Output **tilesize** will be expanded to `tilesize + 2 * buffer` (e.g 0.5 = 257x257, 1.0 = 258x258). + - **padding** (int): Padding to apply to each tile edge. Helps reduce resampling artefacts along edges. Defaults to `0` + - **algorithm** (str): Custom algorithm name (e.g `hillshade`). + - **algorithm_params** (str): JSON encoded algorithm parameters. + +!!! important + **assets** OR **expression** is required + +Example: + +- `https://myendpoint/collections/mycollection/items/oneitem/tiles/1/2/3?assets=B01&assets=B00` +- `https://myendpoint/collections/mycollection/items/oneitem/tiles/1/2/3.jpg?assets=B01` +- `https://myendpoint/collections/mycollection/items/oneitem/tiles/WorldCRS84Quad/1/2/3@2x.png?assets=B01` +- `https://myendpoint/collections/mycollection/items/oneitem/tiles/WorldCRS84Quad/1/2/3?expression=B01/B02&rescale=0,1000&colormap_name=cfastie&asset_as_band=True` + +### Preview + +`:endpoint:/collections/{collection_id}/items/{item_id}/preview[.{format}]` + +- PathParams: + - **collection_id** (str): STAC Collection Identifier. + - **item_id** (str): STAC Item Identifier. + - **format**: Output image format, default is set to None and will be either JPEG or PNG depending on masked value. **Optional** + +- QueryParams: + - **assets** (array[str]): asset names. + - **expression** (str): rio-tiler's math expression with asset names (e.g `Asset1_b1/Asset2_b1`). + - **asset_as_band** (bool): tell rio-tiler that each asset is a 1 band dataset, so expression `Asset1/Asset2` can be passed. + - **asset_bidx** (array[str]): Per asset band math expression (e.g `Asset1|1;2;3`). + - **max_size** (int): Max image size, default is 1024. + - **height** (int): Force output image height. + - **width** (int): Force output image width. + - **dst_crs** (str): Output Coordinate Reference System. Default to dataset's CRS. + - **nodata** (str, int, float): Overwrite internal Nodata value. + - **unscale** (bool): Apply dataset internal Scale/Offset. + - **algorithm** (str): Custom algorithm name (e.g `hillshade`). + - **algorithm_params** (str): JSON encoded algorithm parameters. + - **resampling** (str): RasterIO resampling algorithm. Defaults to `nearest`. + - **reproject** (str): WarpKernel resampling algorithm (only used when doing re-projection). Defaults to `nearest`. + - **rescale** (array[str]): Comma (',') delimited Min,Max range (e.g `rescale=0,1000`, `rescale=0,1000&rescale=0,3000&rescale=0,2000`). + - **color_formula** (str): rio-color formula. + - **colormap** (str): JSON encoded custom Colormap. + - **colormap_name** (str): rio-tiler color map name. + - **return_mask** (bool): Add mask to the output data. Default is True. + - **algorithm** (str): Custom algorithm name (e.g `hillshade`). + - **algorithm_params** (str): JSON encoded algorithm parameters. + +!!! important + - **assets** OR **expression** is required + + - if **height** and **width** are provided **max_size** will be ignored. + +Example: + +- `https://myendpoint/collections/mycollection/items/oneitem/preview?assets=B01` +- `https://myendpoint/collections/mycollection/items/oneitem/preview.jpg?assets=B01` +- `https://myendpoint/collections/mycollection/items/oneitem/preview?assets=B01&rescale=0,1000&colormap_name=cfastie` + +### BBOX/Feature + +`:endpoint:/collections/{collection_id}/items/{item_id}/bbox/{minx},{miny},{maxx},{maxy}.{format}` +`:endpoint:/collections/{collection_id}/items/{item_id}/bbox/{minx},{miny},{maxx},{maxy}/{width}x{height}.{format}` + +- PathParams: + - **collection_id** (str): STAC Collection Identifier. + - **item_id** (str): STAC Item Identifier. + - **minx,miny,maxx,maxy** (str): Comma (',') delimited bounding box in WGS84. + - **height** (int): Force output image height. **Optional** + - **width** (int): Force output image width. **Optional** + - **format** (str): Output image format, default is set to None and will be either JPEG or PNG depending on masked value. **Optional** + +- QueryParams: + - **assets** (array[str]): asset names. + - **expression** (str): rio-tiler's math expression with asset names (e.g `Asset1_b1/Asset2_b1`). + - **asset_as_band** (bool): tell rio-tiler that each asset is a 1 band dataset, so expression `Asset1/Asset2` can be passed. + - **asset_bidx** (array[str]): Per asset band math expression (e.g `Asset1|1;2;3`). + - **max_size** (int): Max image size. + - **coord_crs** (str): Coordinate Reference System of the input coordinates. Default to `epsg:4326`. + - **dst_crs** (str): Output Coordinate Reference System. Default to `coord_crs`. + - **nodata** (str, int, float): Overwrite internal Nodata value. + - **unscale** (bool): Apply dataset internal Scale/Offset. + - **algorithm** (str): Custom algorithm name (e.g `hillshade`). + - **algorithm_params** (str): JSON encoded algorithm parameters. + - **resampling** (str): RasterIO resampling algorithm. Defaults to `nearest`. + - **reproject** (str): WarpKernel resampling algorithm (only used when doing re-projection). Defaults to `nearest`. + - **rescale** (array[str]): Comma (',') delimited Min,Max range (e.g `rescale=0,1000`, `rescale=0,1000&rescale=0,3000&rescale=0,2000`). + - **color_formula** (str): rio-color formula. + - **colormap** (str): JSON encoded custom Colormap. + - **colormap_name** (str): rio-tiler color map name. + - **return_mask** (bool): Add mask to the output data. Default is True. + - **algorithm** (str): Custom algorithm name (e.g `hillshade`). + - **algorithm_params** (str): JSON encoded algorithm parameters. + +!!! important + - **assets** OR **expression** is required + + - if **height** and **width** are provided **max_size** will be ignored. + +Example: + +- `https://myendpoint/collections/mycollection/items/oneitem/bbox/0,0,10,10.png?assets=B01` +- `https://myendpoint/collections/mycollection/items/oneitem/bbox/0,0,10,10.png?assets=B01&rescale=0,1000&colormap_name=cfastie` + +`:endpoint:/collections/{collection_id}/items/{item_id}/feature[/{width}x{height}][].{format}] - [POST]` + +- Body: + - **feature** (JSON): A valid GeoJSON feature (Polygon or MultiPolygon) + +- PathParams: + - **collection_id** (str): STAC Collection Identifier. + - **item_id** (str): STAC Item Identifier. + - **height** (int): Force output image height. **Optional** + - **width** (int): Force output image width. **Optional** + - **format** (str): Output image format, default is set to None and will be either JPEG or PNG depending on masked value. **Optional** + +- QueryParams: + - **assets** (array[str]): asset names. + - **expression** (str): rio-tiler's math expression with asset names (e.g `Asset1_b1/Asset2_b1`). + - **asset_as_band** (bool): tell rio-tiler that each asset is a 1 band dataset, so expression `Asset1/Asset2` can be passed. + - **asset_bidx** (array[str]): Per asset band math expression (e.g `Asset1|1;2;3`). + - **max_size** (int): Max image size. + - **coord_crs** (str): Coordinate Reference System of the input coordinates. Default to `epsg:4326`. + - **dst_crs** (str): Output Coordinate Reference System. Default to `coord_crs`. + - **nodata** (str, int, float): Overwrite internal Nodata value. + - **unscale** (bool): Apply dataset internal Scale/Offset. + - **resampling** (str): RasterIO resampling algorithm. Defaults to `nearest`. + - **reproject** (str): WarpKernel resampling algorithm (only used when doing re-projection). Defaults to `nearest`. + - **algorithm** (str): Custom algorithm name (e.g `hillshade`). + - **algorithm_params** (str): JSON encoded algorithm parameters. + - **rescale** (array[str]): Comma (',') delimited Min,Max range (e.g `rescale=0,1000`, `rescale=0,1000&rescale=0,3000&rescale=0,2000`). + - **color_formula** (str): rio-color formula. + - **colormap** (str): JSON encoded custom Colormap. + - **colormap_name** (str): rio-tiler color map name. + - **return_mask** (bool): Add mask to the output data. Default is True. + - **algorithm** (str): Custom algorithm name (e.g `hillshade`). + - **algorithm_params** (str): JSON encoded algorithm parameters. + +!!! important + - **assets** OR **expression** is required + + - if **height** and **width** are provided **max_size** will be ignored. + +Example: + +- `https://myendpoint/collections/mycollection/items/oneitem/crop?assets=B01` +- `https://myendpoint/collections/mycollection/items/oneitem/crop.png?assets=B01` +- `https://myendpoint/collections/mycollection/items/oneitem/100x100.png?assets=B01&rescale=0,1000&colormap_name=cfastie` + +### Point + +`:endpoint:/collections/{collection_id}/items/{item_id}/point/{lon},{lat}` + +- PathParams: + - **collection_id** (str): STAC Collection Identifier. + - **item_id** (str): STAC Item Identifier. + - **lon,lat,** (str): Comma (',') delimited point Longitude and Latitude WGS84. + +- QueryParams: + - **assets** (array[str]): asset names. + - **expression** (str): rio-tiler's math expression with asset names (e.g `Asset1_b1/Asset2_b1`). + - **asset_as_band** (bool): tell rio-tiler that each asset is a 1 band dataset, so expression `Asset1/Asset2` can be passed. + - **asset_bidx** (array[str]): Per asset band math expression (e.g `Asset1|1;2;3`). + - **nodata** (str, int, float): Overwrite internal Nodata value. + - **unscale** (bool): Apply dataset internal Scale/Offset. + - **resampling** (str): RasterIO resampling algorithm. Defaults to `nearest`. + - **reproject** (str): WarpKernel resampling algorithm (only used when doing re-projection). Defaults to `nearest`. + +!!! important + **assets** OR **expression** is required + +Example: + +- `https://myendpoint/collections/mycollection/items/oneitem/point/0,0?assets=B01` + +### TilesJSON + +`:endpoint:/collections/{collection_id}/items/{item_id}[/{TileMatrixSetId}]/tilejson.json` tileJSON document + +- PathParams: + - **collection_id** (str): STAC Collection Identifier. + - **item_id** (str): STAC Item Identifier. + - **TileMatrixSetId**: TileMatrixSet name, default is `WebMercatorQuad`. + +- QueryParams: + - **assets** (array[str]): asset names. + - **expression** (str): rio-tiler's math expression with asset names (e.g `Asset1_b1/Asset2_b1`). + - **asset_as_band** (bool): tell rio-tiler that each asset is a 1 band dataset, so expression `Asset1/Asset2` can be passed. + - **asset_bidx** (array[str]): Per asset band math expression (e.g `Asset1|1;2;3`). + - **tile_format** (str): Output image format, default is set to None and will be either JPEG or PNG depending on masked value. + - **tile_scale** (int): Tile size scale, default is set to 1 (256x256). + - **minzoom** (int): Overwrite default minzoom. + - **maxzoom** (int): Overwrite default maxzoom. + - **nodata** (str, int, float): Overwrite internal Nodata value. + - **unscale** (bool): Apply dataset internal Scale/Offset. + - **resampling** (str): RasterIO resampling algorithm. Defaults to `nearest`. + - **reproject** (str): WarpKernel resampling algorithm (only used when doing re-projection). Defaults to `nearest`. + - **algorithm** (str): Custom algorithm name (e.g `hillshade`). + - **algorithm_params** (str): JSON encoded algorithm parameters. + - **rescale** (array[str]): Comma (',') delimited Min,Max range (e.g `rescale=0,1000`, `rescale=0,1000&rescale=0,3000&rescale=0,2000`). + - **color_formula** (str): rio-color formula. + - **colormap** (str): JSON encoded custom Colormap. + - **colormap_name** (str): rio-tiler color map name. + - **return_mask** (bool): Add mask to the output data. Default is True. + - **buffer** (float): Buffer on each side of the given tile. It must be a multiple of `0.5`. Output **tilesize** will be expanded to `tilesize + 2 * buffer` (e.g 0.5 = 257x257, 1.0 = 258x258). + - **padding** (int): Padding to apply to each tile edge. Helps reduce resampling artefacts along edges. Defaults to `0` + +!!! important + **assets** OR **expression** is required + +Example: + +- `https://myendpoint/collections/mycollection/items/oneitem/tilejson.json?assets=B01` +- `https://myendpoint/collections/mycollection/items/oneitem/tilejson.json?assets=B01&tile_format=png` +- `https://myendpoint/collections/mycollection/items/oneitem/WorldCRS84Quad/tilejson.json?tile_scale=2&expression=B01/B02&asset_as_band=True` + +### Bounds + +`:endpoint:/collections/{collection_id}/items/{item_id}/bounds` - Return the bounds of the STAC item. + +- PathParams: + - **collection_id** (str): STAC Collection Identifier. + - **item_id** (str): STAC Item Identifier. + +Example: + +- `https://myendpoint/collections/mycollection/items/oneitem/bounds` + + +### Info + +`:endpoint:/collections/{collection_id}/items/{item_id}/info` - Return basic info on STAC item's COG. + +- PathParams: + - **collection_id** (str): STAC Collection Identifier. + - **item_id** (str): STAC Item Identifier. + +- QueryParams: + - **assets** (array[str]): asset names. Default to all available assets. + +Example: + +- `https://myendpoint/collections/mycollection/items/oneitem/info?assets=B01` + +`:endpoint:/collections/{collection_id}/items/{item_id}/info.geojson` - Return basic info on STAC item's COG as a GeoJSON feature + +- PathParams: + - **collection_id** (str): STAC Collection Identifier. + - **item_id** (str): STAC Item Identifier. + +- QueryParams: + - **collection** (str): STAC Collection Identifier. **Required** + - **item** (str): STAC Item Identifier. **Required** + - **assets** (array[str]): asset names. Default to all available assets. + +Example: + +- `https://myendpoint/collections/mycollection/items/oneitem/info.geojson?assets=B01` + + +`:endpoint:/collections/{collection_id}/items/{item_id}/assets` - Return the list of available assets + + +### Available Assets + +`:endpoint:/collections/{collection_id}/items/{item_id}/assets` - Return a list of available assets + +- PathParams: + - **collection_id** (str): STAC Collection Identifier. + - **item_id** (str): STAC Item Identifier. + +Example: + +- `https://myendpoint/collections/mycollection/items/oneitem/assets` + +### Statistics + +`:endpoint:/collections/{collection_id}/items/{item_id}/asset_statistics - [GET]` + +- PathParams: + - **collection_id** (str): STAC Collection Identifier. + - **item_id** (str): STAC Item Identifier. + +- QueryParams: + - **collection** (str): STAC Collection Identifier. **Required** + - **item** (str): STAC Item Identifier. **Required** + - **assets** (array[str]): asset names. Default to all available assets. + - **asset_bidx** (array[str]): Per asset band math expression (e.g `Asset1|1;2;3`). + - **asset_expression** (array[str]): Per asset band math expression (e.g `Asset1|b1\*b2`). + - **max_size** (int): Max image size from which to calculate statistics, default is 1024. + - **height** (int): Force image height from which to calculate statistics. + - **width** (int): Force image width from which to calculate statistics. + - **nodata** (str, int, float): Overwrite internal Nodata value. + - **unscale** (bool): Apply dataset internal Scale/Offset. + - **resampling** (str): RasterIO resampling algorithm. Defaults to `nearest`. + - **categorical** (bool): Return statistics for categorical dataset, default is false. + - **c** (array[float]): Pixels values for categories. + - **p** (array[int]): Percentile values. + - **histogram_bins** (str): Histogram bins. + - **histogram_range** (str): Comma (',') delimited Min,Max histogram bounds + +Example: + +- `https://myendpoint/collections/mycollection/items/oneitem/statistics?assets=B01&categorical=true&c=1&c=2&c=3&p=2&p98` + + +`:endpoint:/collections/{collection_id}/items/{item_id}/statistics - [GET]` + +- PathParams: + - **collection_id** (str): STAC Collection Identifier. + - **item_id** (str): STAC Item Identifier. + +- QueryParams: + - **collection** (str): STAC Collection Identifier. **Required** + - **item** (str): STAC Item Identifier. **Required** + - **assets** (array[str]): asset names. + - **expression** (str): rio-tiler's math expression with asset names (e.g `Asset1_b1/Asset2_b1`). + - **asset_as_band** (bool): tell rio-tiler that each asset is a 1 band dataset, so expression `Asset1/Asset2` can be passed. + - **asset_bidx** (array[str]): Per asset band math expression (e.g `Asset1|1;2;3`). + - **max_size** (int): Max image size from which to calculate statistics, default is 1024. + - **height** (int): Force image height from which to calculate statistics. + - **width** (int): Force image width from which to calculate statistics. + - **nodata** (str, int, float): Overwrite internal Nodata value. + - **unscale** (bool): Apply dataset internal Scale/Offset. + - **resampling** (str): RasterIO resampling algorithm. Defaults to `nearest`. + - **categorical** (bool): Return statistics for categorical dataset, default is false. + - **c** (array[float]): Pixels values for categories. + - **p** (array[int]): Percentile values. + - **histogram_bins** (str): Histogram bins. + - **histogram_range** (str): Comma (',') delimited Min,Max histogram bounds + +Example: + +- `https://myendpoint/collections/mycollection/items/oneitem/statistics?assets=B01&categorical=true&c=1&c=2&c=3&p=2&p98` + + +`:endpoint:/collections/{collection_id}/items/{item_id}/statistics - [POST]` + +- Body: + - **feature** (JSON): A valid GeoJSON feature or FeatureCollection + +- PathParams: + - **collection_id** (str): STAC Collection Identifier. + - **item_id** (str): STAC Item Identifier. + +- QueryParams: + - **assets** (array[str]): asset names. + - **expression** (str): rio-tiler's math expression with asset names (e.g `Asset1_b1/Asset2_b1`). + - **asset_as_band** (bool): tell rio-tiler that each asset is a 1 band dataset, so expression `Asset1/Asset2` can be passed. + - **asset_bidx** (array[str]): Per asset band math expression (e.g `Asset1|1;2;3`). + - **max_size** (int): Max image size from which to calculate statistics. + - **height** (int): Force image height from which to calculate statistics. + - **width** (int): Force image width from which to calculate statistics. + - **coord_crs** (str): Coordinate Reference System of the input coordinates. Default to `epsg:4326`. + - **dst_crs** (str): Output Coordinate Reference System. Default to `coord_crs`. + - **nodata** (str, int, float): Overwrite internal Nodata value. + - **unscale** (bool): Apply dataset internal Scale/Offset. + - **resampling** (str): RasterIO resampling algorithm. Defaults to `nearest`. + - **reproject** (str): WarpKernel resampling algorithm (only used when doing re-projection). Defaults to `nearest`. + - **categorical** (bool): Return statistics for categorical dataset, default is false. + - **c** (array[float]): Pixels values for categories. + - **p** (array[int]): Percentile values. + - **histogram_bins** (str): Histogram bins. + - **histogram_range** (str): Comma (',') delimited Min,Max histogram bounds + +Example: + +- `https://myendpoint/collections/mycollection/items/oneitem/statistics?assets=B01&categorical=true&c=1&c=2&c=3&p=2&p98` + + +[bounds_model]: https://github.com/cogeotiff/rio-tiler/blob/9aaa88000399ee8d36e71d176f67b6ea3ec53f2d/rio_tiler/models.py#L43-L46 +[tilejson_model]: https://github.com/developmentseed/titiler/blob/2335048a407f17127099cbbc6c14e1328852d619/src/titiler/core/titiler/core/models/mapbox.py#L16-L38 +[stats_model]: https://github.com/developmentseed/titiler/blob/c97e251c46b51703d41b1c9e66bc584649aa231c/src/titiler/core/titiler/core/models/responses.py#L32 +[multiinfo_model]: https://github.com/developmentseed/titiler/blob/c97e251c46b51703d41b1c9e66bc584649aa231c/src/titiler/core/titiler/core/models/responses.py#L52 +[multiinfo_geojson_model]: https://github.com/developmentseed/titiler/blob/c97e251c46b51703d41b1c9e66bc584649aa231c/src/titiler/core/titiler/core/models/responses.py#L53 +[multipoint_model]: https://github.com/developmentseed/titiler/blob/c97e251c46b51703d41b1c9e66bc584649aa231c/src/titiler/core/titiler/core/models/responses.py#L23-L27 +[multistats_model]: https://github.com/developmentseed/titiler/blob/c97e251c46b51703d41b1c9e66bc584649aa231c/src/titiler/core/titiler/core/models/responses.py#L55 +[multistats_geojson_model]: https://github.com/developmentseed/titiler/blob/c97e251c46b51703d41b1c9e66bc584649aa231c/src/titiler/core/titiler/core/models/responses.py#L56-L59 diff --git a/1.0.0/endpoints/searches_endpoints/index.html b/1.0.0/endpoints/searches_endpoints/index.html new file mode 100644 index 00000000..e4e63c51 --- /dev/null +++ b/1.0.0/endpoints/searches_endpoints/index.html @@ -0,0 +1,1744 @@ + + + + + + + + + + + + + + + + + + + + Searches - TiTiler.PgSTAC + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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    Searches

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    STAC Searches endpoints

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    MethodURLOutputDescription
    GET/searches/{search_id}/{lon},{lat}/assetsJSONReturn a list of assets which overlap a given point
    GET/searches/{search_id}/tiles[/{TileMatrixSetId}]/{z}/{x}/{Y}/assetsJSONReturn a list of assets which overlap a given tile
    GET/searches/{search_id}/tiles[/{TileMatrixSetId}]/{z}/{x}/{y}[@{scale}x][.{format}]image/binCreate a web map tile image for a search query and a tile index
    GET/searches/{search_id}[/{TileMatrixSetId}]/tilejson.jsonJSON (TileJSON)Return a Mapbox TileJSON document
    GET/searches/{search_id}[/{TileMatrixSetId}]/WMTSCapabilities.xmlXMLreturn OGC WMTS Get Capabilities
    GET/searches/{search_id}[/{TileMatrixSetId}]/mapHTMLsimple map viewer
    POST/searches/{search_id}/statisticsGeoJSON (Statistics)Return statistics for geojson features
    GET/searches/{search_id}/bbox/{minx},{miny},{maxx},{maxy}[/{width}x{height}].{format}image/binCreate an image from part of a dataset
    POST/searches/{search_id}/feature[/{width}x{height}][.{format}]image/binCreate an image from a GeoJSON feature
    GET/searches/{search_id}/infoJSON (Info)Return Search query infos
    POST/searches/registerJSON (Register)Register Search query
    GET/searches/listJSON (Infos)Return list of Search entries with Mosaic type
    +

    Tiles

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    :endpoint:/searches/{search_id}/tiles[/{TileMatrixSetId}]/{z}/{x}/{y}[@{scale}x][.{format}]

    +
      +
    • +

      PathParams:

      +
        +
      • search_id: PgSTAC Search Identifier (Hash).
        • +
      • TileMatrixSetId: TileMatrixSet name, default is WebMercatorQuad. OPTIONAL
        • +
      • z: Tile's zoom level.
        • +
      • x: Tile's column.
        • +
      • y: Tile's row.
        • +
      • scale: Tile size scale, default is set to 1 (256x256). OPTIONAL
        • +
      • format: Output image format, default is set to None and will be either JPEG or PNG depending on masked value. OPTIONAL
        • +
      +
      • +
    • +

      QueryParams:

      +
        +
      • assets (array[str]): asset names.
        • +
      • expression (str): rio-tiler's math expression with asset names (e.g Asset1_b1/Asset2_b1).
        • +
      • asset_as_band (bool): tell rio-tiler that each asset is a 1 band dataset, so expression Asset1/Asset2 can be passed.
        • +
      • asset_bidx (array[str]): Per asset band math expression (e.g Asset1|1;2;3).
        • +
      • nodata: Overwrite internal Nodata value. OPTIONAL
        • +
      • unscale (bool): Apply dataset internal Scale/Offset.
        • +
      • resampling (str): RasterIO resampling algorithm. Defaults to nearest.
        • +
      • reproject (str): WarpKernel resampling algorithm (only used when doing re-projection). Defaults to nearest.
        • +
      • algorithm (str): Custom algorithm name (e.g hillshade).
        • +
      • algorithm_params (str): JSON encoded algorithm parameters.
        • +
      • rescale (array[str]): Comma (',') delimited Min,Max range (e.g rescale=0,1000, rescale=0,1000&rescale=0,3000&rescale=0,2000).
        • +
      • color_formula (str): rio-color formula.
        • +
      • colormap (str): JSON encoded custom Colormap.
        • +
      • colormap_name (str): rio-tiler color map name.
        • +
      • return_mask (bool): Add mask to the output data. Default is True.
        • +
      • buffer (float): Buffer on each side of the given tile. It must be a multiple of 0.5. Output tilesize will be expanded to tilesize + 2 * buffer (e.g 0.5 = 257x257, 1.0 = 258x258).
        • +
      • padding (int): Padding to apply to each tile edge. Helps reduce resampling artefacts along edges. Defaults to 0
        • +
      • pixel_selection (str): Pixel selection method (cogeotiff.github.io/rio-tiler/mosaic/).
        • +
      • scan_limit (int): Return as soon as we scan N items, Default is 10,000 in PgSTAC.
        • +
      • items_limit (int): Return as soon as we have N items per geometry, Default is 100 in PgSTAC.
        • +
      • time_limit (int): Return after N seconds to avoid long requests, Default is 5sec in PgSTAC.
        • +
      • exitwhenfull (bool): Return as soon as the geometry is fully covered, Default is True in PgSTAC.
        • +
      • skipcovered (bool): Skip any items that would show up completely under the previous items, Default is True in PgSTAC.
        • +
      +
      • +
    +
    +

    Important

    +

    assets OR expression is required

    +
    +

    Example:

    +
      +
    • https://myendpoint/searches/f1ed59f0a6ad91ed80ae79b7b52bc707/tiles/1/2/3?assets=B01
      • +
    • https://myendpoint/searches/f1ed59f0a6ad91ed80ae79b7b52bc707/tiles/1/2/3.jpg?assets=B01
      • +
    • https://myendpoint/searches/f1ed59f0a6ad91ed80ae79b7b52bc707/tiles/WorldCRS84Quad/1/2/3@2x.png?assets=B01&assets=B02&assets=B03
      • +
    • https://myendpoint/searches/f1ed59f0a6ad91ed80ae79b7b52bc707/tiles/WorldCRS84Quad/1/2/3?assets=B01&rescale=0,1000&colormap_name=cfastie
      • +
    +

    TilesJSON

    +

    :endpoint:/searches/{search_id}[/{TileMatrixSetId}]/tilejson.json

    +
      +
    • +

      PathParams:

      +
        +
      • search_id: PgSTAC Search Identifier (Hash).
        • +
      • TileMatrixSetId: TileMatrixSet name, default is WebMercatorQuad. OPTIONAL
        • +
      +
      • +
    • +

      QueryParams:

      +
        +
      • tile_format: Output image format, default is set to None and will be either JPEG or PNG depending on masked value.
        • +
      • tile_scale: Tile size scale, default is set to 1 (256x256). OPTIONAL
        • +
      • minzoom: Overwrite default minzoom. OPTIONAL
        • +
      • maxzoom: Overwrite default maxzoom. OPTIONAL
        • +
      • expression (str): rio-tiler's math expression with asset names (e.g Asset1_b1/Asset2_b1).
        • +
      • asset_as_band (bool): tell rio-tiler that each asset is a 1 band dataset, so expression Asset1/Asset2 can be passed.
        • +
      • asset_bidx (array[str]): Per asset band math expression (e.g Asset1|1;2;3).
        • +
      • nodata (str, int, float): Overwrite internal Nodata value.
        • +
      • unscale (bool): Apply dataset internal Scale/Offset.
        • +
      • resampling (str): RasterIO resampling algorithm. Defaults to nearest.
        • +
      • reproject (str): WarpKernel resampling algorithm (only used when doing re-projection). Defaults to nearest.
        • +
      • algorithm (str): Custom algorithm name (e.g hillshade).
        • +
      • algorithm_params (str): JSON encoded algorithm parameters.
        • +
      • rescale (array[str]): Comma (',') delimited Min,Max range (e.g rescale=0,1000, rescale=0,1000&rescale=0,3000&rescale=0,2000).
        • +
      • color_formula (str): rio-color formula.
        • +
      • colormap (str): JSON encoded custom Colormap.
        • +
      • colormap_name (str): rio-tiler color map name.
        • +
      • return_mask (bool): Add mask to the output data. Default is True.
        • +
      • buffer (float): Buffer on each side of the given tile. It must be a multiple of 0.5. Output tilesize will be expanded to tilesize + 2 * buffer (e.g 0.5 = 257x257, 1.0 = 258x258).
        • +
      • padding (int): Padding to apply to each tile edge. Helps reduce resampling artefacts along edges. Defaults to 0
        • +
      • pixel_selection (str): Pixel selection method (cogeotiff.github.io/rio-tiler/mosaic/).
        • +
      • scan_limit (int): Return as soon as we scan N items, Default is 10,000 in PgSTAC.
        • +
      • items_limit (int): Return as soon as we have N items per geometry, Default is 100 in PgSTAC.
        • +
      • time_limit (int): Return after N seconds to avoid long requests, Default is 5sec in PgSTAC.
        • +
      • exitwhenfull (bool): Return as soon as the geometry is fully covered, Default is True in PgSTAC.
        • +
      • skipcovered (bool): Skip any items that would show up completely under the previous items, Default is True in PgSTAC.
        • +
      +
      • +
    +
    +

    Important

    +

    assets OR expression is required

    +
    +

    Example:

    +
      +
    • https://myendpoint/searches/f1ed59f0a6ad91ed80ae79b7b52bc707/tilejson.json?assets=B01
      • +
    • https://myendpoint/searches/f1ed59f0a6ad91ed80ae79b7b52bc707/tilejson.json?assets=B01&tile_format=png
      • +
    • https://myendpoint/searches/f1ed59f0a6ad91ed80ae79b7b52bc707/WorldCRS84Quad/tilejson.json?assets=B01&tile_scale=2
      • +
    +

    WMTS

    +

    :endpoint:/searches/{search_id}[/{TileMatrixSetId}]/WMTSCapabilities.xml

    +
      +
    • +

      PathParams:

      +
        +
      • search_id: PgSTAC Search Identifier (Hash).
        • +
      • TileMatrixSetId: TileMatrixSet name, default is WebMercatorQuad. OPTIONAL
        • +
      +
      • +
    • +

      QueryParams:

      +
        +
      • tile_format: Output image format, default is set to PNG.
        • +
      • tile_scale: Tile size scale, default is set to 1 (256x256). OPTIONAL
        • +
      • minzoom: Overwrite default minzoom. OPTIONAL
        • +
      • maxzoom: Overwrite default maxzoom. OPTIONAL
        • +
      +
      • +
    +
    +

    Important

    +

    additional query-parameters will be forwarded to the tile URL. If no defaults mosaic metadata, assets OR expression will be required

    +
    +

    Example:

    +
      +
    • https://myendpoint/searches/f1ed59f0a6ad91ed80ae79b7b52bc707/WMTSCapabilities.xml?assets=B01
      • +
    • https://myendpoint/searches/f1ed59f0a6ad91ed80ae79b7b52bc707/WMTSCapabilities.xml?assets=B01&tile_format=png
      • +
    • https://myendpoint/searches/f1ed59f0a6ad91ed80ae79b7b52bc707/WorldCRS84Quad/WMTSCapabilities.xml?assets=B01&tile_scale=2
      • +
    +

    Assets

    +

    :endpoint:/searches/{search_id}/tiles/[{TileMatrixSetId}]/{z}/{x}/{y}/assets

    +
      +
    • +

      PathParams:

      +
        +
      • search_id: PgSTAC Search Identifier (Hash).
        • +
      • TileMatrixSetId: TileMatrixSet name, default is WebMercatorQuad. OPTIONAL
        • +
      • z: Tile's zoom level.
        • +
      • x: Tile's column.
        • +
      • y: Tile's row.
        • +
      +
      • +
    • +

      QueryParams:

      +
        +
      • scan_limit (int): Return as soon as we scan N items, Default is 10,000 in PgSTAC.
        • +
      • items_limit (int): Return as soon as we have N items per geometry, Default is 100 in PgSTAC.
        • +
      • time_limit (int): Return after N seconds to avoid long requests, Default is 5sec in PgSTAC.
        • +
      • exitwhenfull (bool): Return as soon as the geometry is fully covered, Default is True in PgSTAC.
        • +
      • skipcovered (bool): Skip any items that would show up completely under the previous items, Default is True in PgSTAC.
        • +
      +
      • +
    +

    Example:

    +
      +
    • https://myendpoint/searches/f1ed59f0a6ad91ed80ae79b7b52bc707/tiles/0/0/0/assets
      • +
    +

    :endpoint:/searches/{search_id}/{lon},{lat}/assets

    +
      +
    • +

      PathParams:

      +
        +
      • search_id: PgSTAC Search Identifier (Hash).
        • +
      • lon: Longitude (in WGS84 CRS).
        • +
      • lat: Latitude (in WGS84 CRS).
        • +
      +
      • +
    • +

      QueryParams:

      +
        +
      • scan_limit (int): Return as soon as we scan N items, Default is 10,000 in PgSTAC.
        • +
      • items_limit (int): Return as soon as we have N items per geometry, Default is 100 in PgSTAC.
        • +
      • time_limit (int): Return after N seconds to avoid long requests, Default is 5sec in PgSTAC.
        • +
      • exitwhenfull (bool): Return as soon as the geometry is fully covered, Default is True in PgSTAC.
        • +
      • skipcovered (bool): Skip any items that would show up completely under the previous items, Default is True in PgSTAC.
        • +
      +
      • +
    +

    Example:

    +
      +
    • https://myendpoint/searches/f1ed59f0a6ad91ed80ae79b7b52bc707/0.0,0.0/assets
      • +
    +

    Statistics

    +

    :endpoint:/searches/{search_id}/statistics - [POST]

    +
      +
    • +

      Body:

      +
        +
      • feature (JSON): A valid GeoJSON feature or FeatureCollection
        • +
      +
      • +
    • +

      PathParams:

      +
        +
      • search_id: PgSTAC Search Identifier (Hash).
        • +
      +
      • +
    • +

      QueryParams:

      +
        +
      • assets (array[str]): asset names.
        • +
      • expression (str): rio-tiler's math expression with asset names (e.g Asset1_b1/Asset2_b1).
        • +
      • asset_as_band (bool): tell rio-tiler that each asset is a 1 band dataset, so expression Asset1/Asset2 can be passed.
        • +
      • asset_bidx (array[str]): Per asset band math expression (e.g Asset1|1;2;3).
        • +
      • coord_crs (str): Coordinate Reference System of the input geometry. Default to epsg:4326.
        • +
      • dst_crs (str): Output Coordinate Reference System. Default to coord_crs.
        • +
      • max_size (int): Max image size from which to calculate statistics.
        • +
      • height (int): Force image height from which to calculate statistics.
        • +
      • width (int): Force image width from which to calculate statistics.
        • +
      • nodata: Overwrite internal Nodata value. OPTIONAL
        • +
      • unscale (bool): Apply dataset internal Scale/Offset.
        • +
      • resampling (str): RasterIO resampling algorithm. Defaults to nearest.
        • +
      • reproject (str): WarpKernel resampling algorithm (only used when doing re-projection). Defaults to nearest.
        • +
      • algorithm (str): Custom algorithm name (e.g hillshade).
        • +
      • algorithm_params (str): JSON encoded algorithm parameters.
        • +
      • categorical (bool): Return statistics for categorical dataset, default is false.
        • +
      • c (array[float]): Pixels values for categories.
        • +
      • p (array[int]): Percentile values.
        • +
      • histogram_bins (str): Histogram bins.
        • +
      • histogram_range (str): Comma (',') delimited Min,Max histogram bounds.
        • +
      • pixel_selection (str): Pixel selection method (cogeotiff.github.io/rio-tiler/mosaic/).
        • +
      • scan_limit (int): Return as soon as we scan N items, Default is 10,000 in PgSTAC.
        • +
      • items_limit (int): Return as soon as we have N items per geometry, Default is 100 in PgSTAC.
        • +
      • time_limit (int): Return after N seconds to avoid long requests, Default is 5sec in PgSTAC.
        • +
      • exitwhenfull (bool): Return as soon as the geometry is fully covered, Default is True in PgSTAC.
        • +
      • skipcovered (bool): Skip any items that would show up completely under the previous items, Default is True in PgSTAC.
        • +
      +
      • +
    +
    +

    Important

    +

    if height and width are provided max_size will be ignored.

    +
    +

    Example:

    +
      +
    • https://myendpoint/searches/f1ed59f0a6ad91ed80ae79b7b52bc707/statistics?assets=B01
      • +
    +

    BBOX/Feature

    +

    :endpoint:/searches/{search_id}/bbox/{minx},{miny},{maxx},{maxy}.{format}

    +

    :endpoint:/searches/{search_id}/bbox/{minx},{miny},{maxx},{maxy}/{width}x{height}.{format}

    +
      +
    • +

      PathParams:

      +
        +
      • search_id: PgSTAC Search Identifier (Hash).
        • +
      • minx,miny,maxx,maxy (str): Comma (',') delimited bounding box in WGS84.
        • +
      • format (str): Output image format.
        • +
      • height (int): Force output image height.
        • +
      • width (int): Force output image width.
        • +
      +
      • +
    • +

      QueryParams:

      +
        +
      • assets (array[str]): asset names.
        • +
      • expression (str): rio-tiler's math expression with asset names (e.g Asset1_b1/Asset2_b1).
        • +
      • asset_as_band (bool): tell rio-tiler that each asset is a 1 band dataset, so expression Asset1/Asset2 can be passed.
        • +
      • asset_bidx (array[str]): Per asset band math expression (e.g Asset1|1;2;3).
        • +
      • coord_crs (str): Coordinate Reference System of the input coordinates. Default to epsg:4326.
        • +
      • dst_crs (str): Output Coordinate Reference System. Default to coord_crs.
        • +
      • max_size (int): Max image size.
        • +
      • nodata: Overwrite internal Nodata value. OPTIONAL
        • +
      • unscale (bool): Apply dataset internal Scale/Offset.
        • +
      • resampling (str): RasterIO resampling algorithm. Defaults to nearest.
        • +
      • reproject (str): WarpKernel resampling algorithm (only used when doing re-projection). Defaults to nearest.
        • +
      • algorithm (str): Custom algorithm name (e.g hillshade).
        • +
      • algorithm_params (str): JSON encoded algorithm parameters.
        • +
      • rescale (array[str]): Comma (',') delimited Min,Max range (e.g rescale=0,1000, rescale=0,1000&rescale=0,3000&rescale=0,2000).
        • +
      • color_formula (str): rio-color formula.
        • +
      • colormap (str): JSON encoded custom Colormap.
        • +
      • colormap_name (str): rio-tiler color map name.
        • +
      • return_mask (bool): Add mask to the output data. Default is True.
        • +
      • pixel_selection (str): Pixel selection method (cogeotiff.github.io/rio-tiler/mosaic/).
        • +
      • scan_limit (int): Return as soon as we scan N items, Default is 10,000 in PgSTAC.
        • +
      • items_limit (int): Return as soon as we have N items per geometry, Default is 100 in PgSTAC.
        • +
      • time_limit (int): Return after N seconds to avoid long requests, Default is 5sec in PgSTAC.
        • +
      • exitwhenfull (bool): Return as soon as the geometry is fully covered, Default is True in PgSTAC.
        • +
      • skipcovered (bool): Skip any items that would show up completely under the previous items, Default is True in PgSTAC.
        • +
      +
      • +
    +
    +

    Important

    +

    if height and width are provided max_size will be ignored.

    +
    +

    Example:

    +
      +
    • https://myendpoint/searches/f1ed59f0a6ad91ed80ae79b7b52bc707/bbox/0,0,10,10.png?assets=B01
      • +
    • https://myendpoint/searches/f1ed59f0a6ad91ed80ae79b7b52bc707/bbox/0,0,10,10/400x300.png?assets=B01
      • +
    +

    :endpoint:/searches/{search_id}/feature[/{width}x{height}][].{format}] - [POST]

    +
      +
    • +

      Body:

      +
        +
      • feature (JSON): A valid GeoJSON feature (Polygon or MultiPolygon)
        • +
      +
      • +
    • +

      PathParams:

      +
        +
      • search_id: PgSTAC Search Identifier (Hash).
        • +
      • height (int): Force output image height. Optional
        • +
      • width (int): Force output image width. Optional
        • +
      • format (str): Output image format, default is set to None and will be either JPEG or PNG depending on masked value. Optional
        • +
      +
      • +
    • +

      QueryParams:

      +
        +
      • assets (array[str]): asset names.
        • +
      • expression (str): rio-tiler's math expression with asset names (e.g Asset1_b1/Asset2_b1).
        • +
      • asset_as_band (bool): tell rio-tiler that each asset is a 1 band dataset, so expression Asset1/Asset2 can be passed.
        • +
      • asset_bidx (array[str]): Per asset band math expression (e.g Asset1|1;2;3).
        • +
      • coord_crs (str): Coordinate Reference System of the input geometry. Default to epsg:4326.
        • +
      • dst_crs (str): Output Coordinate Reference System. Default to coord_crs.
        • +
      • max_size (int): Max image size.
        • +
      • nodata: Overwrite internal Nodata value. OPTIONAL
        • +
      • unscale (bool): Apply dataset internal Scale/Offset.
        • +
      • resampling (str): RasterIO resampling algorithm. Defaults to nearest.
        • +
      • reproject (str): WarpKernel resampling algorithm (only used when doing re-projection). Defaults to nearest.
        • +
      • algorithm (str): Custom algorithm name (e.g hillshade).
        • +
      • algorithm_params (str): JSON encoded algorithm parameters.
        • +
      • rescale (array[str]): Comma (',') delimited Min,Max range (e.g rescale=0,1000, rescale=0,1000&rescale=0,3000&rescale=0,2000).
        • +
      • color_formula (str): rio-color formula.
        • +
      • colormap (str): JSON encoded custom Colormap.
        • +
      • colormap_name (str): rio-tiler color map name.
        • +
      • return_mask (bool): Add mask to the output data. Default is True.
        • +
      • pixel_selection (str): Pixel selection method (cogeotiff.github.io/rio-tiler/mosaic/).
        • +
      • scan_limit (int): Return as soon as we scan N items, Default is 10,000 in PgSTAC.
        • +
      • items_limit (int): Return as soon as we have N items per geometry, Default is 100 in PgSTAC.
        • +
      • time_limit (int): Return after N seconds to avoid long requests, Default is 5sec in PgSTAC.
        • +
      • exitwhenfull (bool): Return as soon as the geometry is fully covered, Default is True in PgSTAC.
        • +
      • skipcovered (bool): Skip any items that would show up completely under the previous items, Default is True in PgSTAC.
        • +
      +
      • +
    +
    +

    Important

    +

    if height and width are provided max_size will be ignored.

    +
    +

    Example:

    +
      +
    • https://myendpoint/searches/f1ed59f0a6ad91ed80ae79b7b52bc707/feature?assets=B01
      • +
    • https://myendpoint/searches/f1ed59f0a6ad91ed80ae79b7b52bc707/feature.png?assets=B01f
      • +
    • https://myendpoint/searches/f1ed59f0a6ad91ed80ae79b7b52bc707/feature/100x100.png?assets=B01
      • +
    +

    Register a Search Request

    +

    :endpoint:/searches/register - [POST]

    + +
    // titiler-pgstac search body example
+{
+  // STAC search query
+  "collections": [
+    "string"
+  ],
+  "ids": [
+    "string"
+  ],
+  "bbox": [
+    "number",
+    "number",
+    "number",
+    "number"
+  ],
+  "intersects": {
+    "type": "Point",
+    "coordinates": [
+      "number",
+      "number"
+    ]
+  },
+  "query": {
+    "additionalProp1": {},
+    "additionalProp2": {},
+    "additionalProp3": {}
+  },
+  "filter": {},
+  "datetime": "string",
+  "sortby": "string",
+  "filter-lang": "cql-json",
+  // titiler-pgstac mosaic metadata
+  "metadata": {
+    "type": "mosaic",
+    "bounds": [
+      "number",
+      "number",
+      "number",
+      "number"
+    ],
+    "minzoom": "number",
+    "maxzoom": "number",
+    "name": "string",
+    "assets": [
+      "string",
+      "string",
+    ],
+    "defaults": {}
+  }
+}
+
    +
    +

    Important

    +

    In titiler-pgstac we extended the regular stac search to add a metadata entry. +Metadata defaults to {"type": "mosaic"}.

    +
    +

    Example:

    +
      +
    • https://myendpoint/searches/register
      • +
    +
    curl -X 'POST' 'http://127.0.0.1:8081/searches/register' -H 'accept: application/json' -H 'Content-Type: application/json' -d '{"collections":["landsat-c2l2-sr"], "bbox":[-123.75,34.30714385628804,-118.125,38.82259097617712], "filter-lang": "cql-json"}' | jq
+>> {
+  "id": "5a1b82d38d53a5d200273cbada886bd7",
+  "links": [
+    {
+      "rel": "metadata",
+      "type": "application/json",
+      "href": "http://127.0.0.1:8081/searches/5a1b82d38d53a5d200273cbada886bd7/info"
+    },
+    {
+      "rel": "tilejson",
+      "type": "application/json",
+      "href": "http://127.0.0.1:8081/searches/5a1b82d38d53a5d200273cbada886bd7/tilejson.json"
+    }
+  ]
+}
+
+# or using CQL2
+curl -X 'POST' 'http://127.0.0.1:8081/searches/register' -H 'accept: application/json' -H 'Content-Type: application/json' -d '{"filter": {"op": "=", "args": [{"property": "collection"}, "landsat-c2l2-sr"]}}'
+
+# or using CQL2 with metadata
+curl -X 'POST' 'http://127.0.0.1:8081/searches/register' -H 'accept: application/json' -H 'Content-Type: application/json' -d '{"filter": {"op": "=", "args": [{"property": "collection"}, "landsat-c2l2-sr"]}, "metadata": {"name": "landsat mosaic"}}'
+
    +

    Search infos

    +

    :endpoint:/searches/{search_id}/info - [GET]

    +
      +
    • PathParams:
        +
      • search_id: PgSTAC Search Identifier (Hash).
        • +
      +
      • +
    +

    Example:

    +
      +
    • https://myendpoint/searches/5a1b82d38d53a5d200273cbada886bd7/info
      • +
    +
    curl 'http://127.0.0.1:8081/searches/5a1b82d38d53a5d200273cbada886bd7/info' | jq
+>> {
+  "search": {
+    "hash": "5a1b82d38d53a5d200273cbada886bd7",
+    "search": {
+      "bbox": [
+        -123.75,
+        34.30714385628804,
+        -118.125,
+        38.82259097617712
+      ],
+      "collections": [
+        "landsat-c2l2-sr"
+      ],
+      "filter-lang": "cql-json"
+    },
+    "_where": "(  TRUE  )  AND collection_id = ANY ('{landsat-c2l2-sr}')  AND geometry && '0103000020E610000001000000050000000000000000F05EC055F6687D502741400000000000F05EC02D553EA94A6943400000000000885DC02D553EA94A6943400000000000885DC055F6687D502741400000000000F05EC055F6687D50274140' ",
+    "orderby": "datetime DESC, id DESC",
+    "lastused": "2022-03-03T11:42:07.213313+00:00",
+    "usecount": 2,
+    "metadata": {
+      "type": "mosaic"
+    }
+  },
+  "links": [
+    {
+      "rel": "self",
+      "type": "application/json",
+      "href": "http://127.0.0.1:8081/searches/5a1b82d38d53a5d200273cbada886bd7/info"
+    },
+    {
+      "rel": "tilejson",
+      "type": "application/json",
+      "href": "http://127.0.0.1:8081/searches/5a1b82d38d53a5d200273cbada886bd7/tilejson.json"
+    }
+  ]
+}
+
    +

    List Searches

    +

    :endpoint:/searches/list - [GET]

    +
      +
    • QueryParams:
        +
      • limit (int): Page size limit, Default is 10.
        • +
      • offset (int): Page offset.
        • +
      • sortby (str): Sort the searches by Metadata properties (ascending (default) or descending (-)).
        • +
      +
      • +
    +
    +

    Important

    +

    Additional query-parameters (form PROP=VALUE) will be considered as a property filter.

    +
    +

    Example:

    +
      +
    • https://myendpoint/searches/list
      • +
    • https://myendpoint/searches/list?limit=100
      • +
    • https://myendpoint/searches/list?limit=10&offset=10 (page 2)
      • +
    • https://myendpoint/searches/list?data=noaa (only show mosaics with metadata.data == noaa)
      • +
    • https://myendpoint/searches/list?sortby=lastused (sort mosaic by lastused pgstac search property)
      • +
    • https://myendpoint/searches/list?sortby=-prop (sort mosaic (descending) by metadata.prop values)
      • +
    + + + + + + +
    +
    + + +
    + +
    + + + +
    +
    +
    +
    + + + + + + + + + + \ No newline at end of file diff --git a/1.0.0/endpoints/searches_endpoints/searches_endpoints.md b/1.0.0/endpoints/searches_endpoints/searches_endpoints.md new file mode 100644 index 00000000..25834608 --- /dev/null +++ b/1.0.0/endpoints/searches_endpoints/searches_endpoints.md @@ -0,0 +1,486 @@ +### STAC Searches endpoints + +| Method | URL | Output | Description +| ------ | ---------------------------------------------------------------------------------|-----------------------------------------|-------------- +| `GET` | `/searches/{search_id}/{lon},{lat}/assets` | JSON | Return a list of assets which overlap a given point +| `GET` | `/searches/{search_id}/tiles[/{TileMatrixSetId}]/{z}/{x}/{Y}/assets` | JSON | Return a list of assets which overlap a given tile +| `GET` | `/searches/{search_id}/tiles[/{TileMatrixSetId}]/{z}/{x}/{y}[@{scale}x][.{format}]` | image/bin | Create a web map tile image for a search query and a tile index +| `GET` | `/searches/{search_id}[/{TileMatrixSetId}]/tilejson.json` | JSON ([TileJSON][tilejson_model]) | Return a Mapbox TileJSON document +| `GET` | `/searches/{search_id}[/{TileMatrixSetId}]/WMTSCapabilities.xml` | XML | return OGC WMTS Get Capabilities +| `GET` | `/searches/{search_id}[/{TileMatrixSetId}]/map` | HTML | simple map viewer +| `POST` | `/searches/{search_id}/statistics` | GeoJSON ([Statistics][statitics_model]) | Return statistics for geojson features +| `GET` | `/searches/{search_id}/bbox/{minx},{miny},{maxx},{maxy}[/{width}x{height}].{format}`| image/bin | Create an image from part of a dataset +| `POST` | `/searches/{search_id}/feature[/{width}x{height}][.{format}]` | image/bin | Create an image from a GeoJSON feature +| `GET` | `/searches/{search_id}/info` | JSON ([Info][info_model]) | Return **Search** query infos +| `POST` | `/searches/register` | JSON ([Register][register_model]) | Register **Search** query +| `GET` | `/searches/list` | JSON ([Infos][infos_model]) | Return list of **Search** entries with `Mosaic` type + +### Tiles + +`:endpoint:/searches/{search_id}/tiles[/{TileMatrixSetId}]/{z}/{x}/{y}[@{scale}x][.{format}]` + +- PathParams: + - **search_id**: PgSTAC Search Identifier (Hash). + - **TileMatrixSetId**: TileMatrixSet name, default is `WebMercatorQuad`. OPTIONAL + - **z**: Tile's zoom level. + - **x**: Tile's column. + - **y**: Tile's row. + - **scale**: Tile size scale, default is set to 1 (256x256). OPTIONAL + - **format**: Output image format, default is set to None and will be either JPEG or PNG depending on masked value. OPTIONAL + +- QueryParams: + - **assets** (array[str]): asset names. + - **expression** (str): rio-tiler's math expression with asset names (e.g `Asset1_b1/Asset2_b1`). + - **asset_as_band** (bool): tell rio-tiler that each asset is a 1 band dataset, so expression `Asset1/Asset2` can be passed. + - **asset_bidx** (array[str]): Per asset band math expression (e.g `Asset1|1;2;3`). + - **nodata**: Overwrite internal Nodata value. OPTIONAL + - **unscale** (bool): Apply dataset internal Scale/Offset. + - **resampling** (str): RasterIO resampling algorithm. Defaults to `nearest`. + - **reproject** (str): WarpKernel resampling algorithm (only used when doing re-projection). Defaults to `nearest`. + - **algorithm** (str): Custom algorithm name (e.g `hillshade`). + - **algorithm_params** (str): JSON encoded algorithm parameters. + - **rescale** (array[str]): Comma (',') delimited Min,Max range (e.g `rescale=0,1000`, `rescale=0,1000&rescale=0,3000&rescale=0,2000`). + - **color_formula** (str): rio-color formula. + - **colormap** (str): JSON encoded custom Colormap. + - **colormap_name** (str): rio-tiler color map name. + - **return_mask** (bool): Add mask to the output data. Default is True. + - **buffer** (float): Buffer on each side of the given tile. It must be a multiple of `0.5`. Output **tilesize** will be expanded to `tilesize + 2 * buffer` (e.g 0.5 = 257x257, 1.0 = 258x258). + - **padding** (int): Padding to apply to each tile edge. Helps reduce resampling artefacts along edges. Defaults to `0` + - **pixel_selection** (str): Pixel selection method (https://cogeotiff.github.io/rio-tiler/mosaic/). + - **scan_limit** (int): Return as soon as we scan N items, Default is 10,000 in PgSTAC. + - **items_limit** (int): Return as soon as we have N items per geometry, Default is 100 in PgSTAC. + - **time_limit** (int): Return after N seconds to avoid long requests, Default is 5sec in PgSTAC. + - **exitwhenfull** (bool): Return as soon as the geometry is fully covered, Default is `True` in PgSTAC. + - **skipcovered** (bool): Skip any items that would show up completely under the previous items, Default is `True` in PgSTAC. + +!!! important + **assets** OR **expression** is required + +Example: + +- `https://myendpoint/searches/f1ed59f0a6ad91ed80ae79b7b52bc707/tiles/1/2/3?assets=B01` +- `https://myendpoint/searches/f1ed59f0a6ad91ed80ae79b7b52bc707/tiles/1/2/3.jpg?assets=B01` +- `https://myendpoint/searches/f1ed59f0a6ad91ed80ae79b7b52bc707/tiles/WorldCRS84Quad/1/2/3@2x.png?assets=B01&assets=B02&assets=B03` +- `https://myendpoint/searches/f1ed59f0a6ad91ed80ae79b7b52bc707/tiles/WorldCRS84Quad/1/2/3?assets=B01&rescale=0,1000&colormap_name=cfastie` + +### TilesJSON + +`:endpoint:/searches/{search_id}[/{TileMatrixSetId}]/tilejson.json` + +- PathParams: + - **search_id**: PgSTAC Search Identifier (Hash). + - **TileMatrixSetId**: TileMatrixSet name, default is `WebMercatorQuad`. OPTIONAL + +- QueryParams: + - **tile_format**: Output image format, default is set to None and will be either JPEG or PNG depending on masked value. + - **tile_scale**: Tile size scale, default is set to 1 (256x256). OPTIONAL + - **minzoom**: Overwrite default minzoom. OPTIONAL + - **maxzoom**: Overwrite default maxzoom. OPTIONAL + - **expression** (str): rio-tiler's math expression with asset names (e.g `Asset1_b1/Asset2_b1`). + - **asset_as_band** (bool): tell rio-tiler that each asset is a 1 band dataset, so expression `Asset1/Asset2` can be passed. + - **asset_bidx** (array[str]): Per asset band math expression (e.g `Asset1|1;2;3`). + - **nodata** (str, int, float): Overwrite internal Nodata value. + - **unscale** (bool): Apply dataset internal Scale/Offset. + - **resampling** (str): RasterIO resampling algorithm. Defaults to `nearest`. + - **reproject** (str): WarpKernel resampling algorithm (only used when doing re-projection). Defaults to `nearest`. + - **algorithm** (str): Custom algorithm name (e.g `hillshade`). + - **algorithm_params** (str): JSON encoded algorithm parameters. + - **rescale** (array[str]): Comma (',') delimited Min,Max range (e.g `rescale=0,1000`, `rescale=0,1000&rescale=0,3000&rescale=0,2000`). + - **color_formula** (str): rio-color formula. + - **colormap** (str): JSON encoded custom Colormap. + - **colormap_name** (str): rio-tiler color map name. + - **return_mask** (bool): Add mask to the output data. Default is True. + - **buffer** (float): Buffer on each side of the given tile. It must be a multiple of `0.5`. Output **tilesize** will be expanded to `tilesize + 2 * buffer` (e.g 0.5 = 257x257, 1.0 = 258x258). + - **padding** (int): Padding to apply to each tile edge. Helps reduce resampling artefacts along edges. Defaults to `0` + - **pixel_selection** (str): Pixel selection method (https://cogeotiff.github.io/rio-tiler/mosaic/). + - **scan_limit** (int): Return as soon as we scan N items, Default is 10,000 in PgSTAC. + - **items_limit** (int): Return as soon as we have N items per geometry, Default is 100 in PgSTAC. + - **time_limit** (int): Return after N seconds to avoid long requests, Default is 5sec in PgSTAC. + - **exitwhenfull** (bool): Return as soon as the geometry is fully covered, Default is `True` in PgSTAC. + - **skipcovered** (bool): Skip any items that would show up completely under the previous items, Default is `True` in PgSTAC. + +!!! important + **assets** OR **expression** is required + +Example: + +- `https://myendpoint/searches/f1ed59f0a6ad91ed80ae79b7b52bc707/tilejson.json?assets=B01` +- `https://myendpoint/searches/f1ed59f0a6ad91ed80ae79b7b52bc707/tilejson.json?assets=B01&tile_format=png` +- `https://myendpoint/searches/f1ed59f0a6ad91ed80ae79b7b52bc707/WorldCRS84Quad/tilejson.json?assets=B01&tile_scale=2` + + +### WMTS + +`:endpoint:/searches/{search_id}[/{TileMatrixSetId}]/WMTSCapabilities.xml` + +- PathParams: + - **search_id**: PgSTAC Search Identifier (Hash). + - **TileMatrixSetId**: TileMatrixSet name, default is `WebMercatorQuad`. OPTIONAL + +- QueryParams: + - **tile_format**: Output image format, default is set to PNG. + - **tile_scale**: Tile size scale, default is set to 1 (256x256). OPTIONAL + - **minzoom**: Overwrite default minzoom. OPTIONAL + - **maxzoom**: Overwrite default maxzoom. OPTIONAL + + +!!! important + additional query-parameters will be forwarded to the `tile` URL. If no `defaults` mosaic metadata, **assets** OR **expression** will be required + +Example: + +- `https://myendpoint/searches/f1ed59f0a6ad91ed80ae79b7b52bc707/WMTSCapabilities.xml?assets=B01` +- `https://myendpoint/searches/f1ed59f0a6ad91ed80ae79b7b52bc707/WMTSCapabilities.xml?assets=B01&tile_format=png` +- `https://myendpoint/searches/f1ed59f0a6ad91ed80ae79b7b52bc707/WorldCRS84Quad/WMTSCapabilities.xml?assets=B01&tile_scale=2` + + +### Assets + +`:endpoint:/searches/{search_id}/tiles/[{TileMatrixSetId}]/{z}/{x}/{y}/assets` + +- PathParams: + - **search_id**: PgSTAC Search Identifier (Hash). + - **TileMatrixSetId**: TileMatrixSet name, default is `WebMercatorQuad`. OPTIONAL + - **z**: Tile's zoom level. + - **x**: Tile's column. + - **y**: Tile's row. + +- QueryParams: + - **scan_limit** (int): Return as soon as we scan N items, Default is 10,000 in PgSTAC. + - **items_limit** (int): Return as soon as we have N items per geometry, Default is 100 in PgSTAC. + - **time_limit** (int): Return after N seconds to avoid long requests, Default is 5sec in PgSTAC. + - **exitwhenfull** (bool): Return as soon as the geometry is fully covered, Default is `True` in PgSTAC. + - **skipcovered** (bool): Skip any items that would show up completely under the previous items, Default is `True` in PgSTAC. + +Example: + +- `https://myendpoint/searches/f1ed59f0a6ad91ed80ae79b7b52bc707/tiles/0/0/0/assets` + +`:endpoint:/searches/{search_id}/{lon},{lat}/assets` + +- PathParams: + - **search_id**: PgSTAC Search Identifier (Hash). + - **lon**: Longitude (in WGS84 CRS). + - **lat**: Latitude (in WGS84 CRS). + +- QueryParams: + - **scan_limit** (int): Return as soon as we scan N items, Default is 10,000 in PgSTAC. + - **items_limit** (int): Return as soon as we have N items per geometry, Default is 100 in PgSTAC. + - **time_limit** (int): Return after N seconds to avoid long requests, Default is 5sec in PgSTAC. + - **exitwhenfull** (bool): Return as soon as the geometry is fully covered, Default is `True` in PgSTAC. + - **skipcovered** (bool): Skip any items that would show up completely under the previous items, Default is `True` in PgSTAC. + +Example: + +- `https://myendpoint/searches/f1ed59f0a6ad91ed80ae79b7b52bc707/0.0,0.0/assets` + +### Statistics + +`:endpoint:/searches/{search_id}/statistics - [POST]` + +- Body: + - **feature** (JSON): A valid GeoJSON feature or FeatureCollection + +- PathParams: + - **search_id**: PgSTAC Search Identifier (Hash). + +- QueryParams: + - **assets** (array[str]): asset names. + - **expression** (str): rio-tiler's math expression with asset names (e.g `Asset1_b1/Asset2_b1`). + - **asset_as_band** (bool): tell rio-tiler that each asset is a 1 band dataset, so expression `Asset1/Asset2` can be passed. + - **asset_bidx** (array[str]): Per asset band math expression (e.g `Asset1|1;2;3`). + - **coord_crs** (str): Coordinate Reference System of the input geometry. Default to `epsg:4326`. + - **dst_crs** (str): Output Coordinate Reference System. Default to `coord_crs`. + - **max_size** (int): Max image size from which to calculate statistics. + - **height** (int): Force image height from which to calculate statistics. + - **width** (int): Force image width from which to calculate statistics. + - **nodata**: Overwrite internal Nodata value. OPTIONAL + - **unscale** (bool): Apply dataset internal Scale/Offset. + - **resampling** (str): RasterIO resampling algorithm. Defaults to `nearest`. + - **reproject** (str): WarpKernel resampling algorithm (only used when doing re-projection). Defaults to `nearest`. + - **algorithm** (str): Custom algorithm name (e.g `hillshade`). + - **algorithm_params** (str): JSON encoded algorithm parameters. + - **categorical** (bool): Return statistics for categorical dataset, default is false. + - **c** (array[float]): Pixels values for categories. + - **p** (array[int]): Percentile values. + - **histogram_bins** (str): Histogram bins. + - **histogram_range** (str): Comma (',') delimited Min,Max histogram bounds. + - **pixel_selection** (str): Pixel selection method (https://cogeotiff.github.io/rio-tiler/mosaic/). + - **scan_limit** (int): Return as soon as we scan N items, Default is 10,000 in PgSTAC. + - **items_limit** (int): Return as soon as we have N items per geometry, Default is 100 in PgSTAC. + - **time_limit** (int): Return after N seconds to avoid long requests, Default is 5sec in PgSTAC. + - **exitwhenfull** (bool): Return as soon as the geometry is fully covered, Default is `True` in PgSTAC. + - **skipcovered** (bool): Skip any items that would show up completely under the previous items, Default is `True` in PgSTAC. + +!!! important + if **height** and **width** are provided **max_size** will be ignored. + +Example: + +- `https://myendpoint/searches/f1ed59f0a6ad91ed80ae79b7b52bc707/statistics?assets=B01` + +### BBOX/Feature + +`:endpoint:/searches/{search_id}/bbox/{minx},{miny},{maxx},{maxy}.{format}` + +`:endpoint:/searches/{search_id}/bbox/{minx},{miny},{maxx},{maxy}/{width}x{height}.{format}` + +- PathParams: + - **search_id**: PgSTAC Search Identifier (Hash). + - **minx,miny,maxx,maxy** (str): Comma (',') delimited bounding box in WGS84. + - **format** (str): Output image format. + - **height** (int): Force output image height. + - **width** (int): Force output image width. + +- QueryParams: + - **assets** (array[str]): asset names. + - **expression** (str): rio-tiler's math expression with asset names (e.g `Asset1_b1/Asset2_b1`). + - **asset_as_band** (bool): tell rio-tiler that each asset is a 1 band dataset, so expression `Asset1/Asset2` can be passed. + - **asset_bidx** (array[str]): Per asset band math expression (e.g `Asset1|1;2;3`). + - **coord_crs** (str): Coordinate Reference System of the input coordinates. Default to `epsg:4326`. + - **dst_crs** (str): Output Coordinate Reference System. Default to `coord_crs`. + - **max_size** (int): Max image size. + - **nodata**: Overwrite internal Nodata value. OPTIONAL + - **unscale** (bool): Apply dataset internal Scale/Offset. + - **resampling** (str): RasterIO resampling algorithm. Defaults to `nearest`. + - **reproject** (str): WarpKernel resampling algorithm (only used when doing re-projection). Defaults to `nearest`. + - **algorithm** (str): Custom algorithm name (e.g `hillshade`). + - **algorithm_params** (str): JSON encoded algorithm parameters. + - **rescale** (array[str]): Comma (',') delimited Min,Max range (e.g `rescale=0,1000`, `rescale=0,1000&rescale=0,3000&rescale=0,2000`). + - **color_formula** (str): rio-color formula. + - **colormap** (str): JSON encoded custom Colormap. + - **colormap_name** (str): rio-tiler color map name. + - **return_mask** (bool): Add mask to the output data. Default is True. + - **pixel_selection** (str): Pixel selection method (https://cogeotiff.github.io/rio-tiler/mosaic/). + - **scan_limit** (int): Return as soon as we scan N items, Default is 10,000 in PgSTAC. + - **items_limit** (int): Return as soon as we have N items per geometry, Default is 100 in PgSTAC. + - **time_limit** (int): Return after N seconds to avoid long requests, Default is 5sec in PgSTAC. + - **exitwhenfull** (bool): Return as soon as the geometry is fully covered, Default is `True` in PgSTAC. + - **skipcovered** (bool): Skip any items that would show up completely under the previous items, Default is `True` in PgSTAC. + +!!! important + if **height** and **width** are provided **max_size** will be ignored. + +Example: + +- `https://myendpoint/searches/f1ed59f0a6ad91ed80ae79b7b52bc707/bbox/0,0,10,10.png?assets=B01` +- `https://myendpoint/searches/f1ed59f0a6ad91ed80ae79b7b52bc707/bbox/0,0,10,10/400x300.png?assets=B01` + + +`:endpoint:/searches/{search_id}/feature[/{width}x{height}][].{format}] - [POST]` + +- Body: + - **feature** (JSON): A valid GeoJSON feature (Polygon or MultiPolygon) + +- PathParams: + - **search_id**: PgSTAC Search Identifier (Hash). + - **height** (int): Force output image height. **Optional** + - **width** (int): Force output image width. **Optional** + - **format** (str): Output image format, default is set to None and will be either JPEG or PNG depending on masked value. **Optional** + +- QueryParams: + - **assets** (array[str]): asset names. + - **expression** (str): rio-tiler's math expression with asset names (e.g `Asset1_b1/Asset2_b1`). + - **asset_as_band** (bool): tell rio-tiler that each asset is a 1 band dataset, so expression `Asset1/Asset2` can be passed. + - **asset_bidx** (array[str]): Per asset band math expression (e.g `Asset1|1;2;3`). + - **coord_crs** (str): Coordinate Reference System of the input geometry. Default to `epsg:4326`. + - **dst_crs** (str): Output Coordinate Reference System. Default to `coord_crs`. + - **max_size** (int): Max image size. + - **nodata**: Overwrite internal Nodata value. OPTIONAL + - **unscale** (bool): Apply dataset internal Scale/Offset. + - **resampling** (str): RasterIO resampling algorithm. Defaults to `nearest`. + - **reproject** (str): WarpKernel resampling algorithm (only used when doing re-projection). Defaults to `nearest`. + - **algorithm** (str): Custom algorithm name (e.g `hillshade`). + - **algorithm_params** (str): JSON encoded algorithm parameters. + - **rescale** (array[str]): Comma (',') delimited Min,Max range (e.g `rescale=0,1000`, `rescale=0,1000&rescale=0,3000&rescale=0,2000`). + - **color_formula** (str): rio-color formula. + - **colormap** (str): JSON encoded custom Colormap. + - **colormap_name** (str): rio-tiler color map name. + - **return_mask** (bool): Add mask to the output data. Default is True. + - **pixel_selection** (str): Pixel selection method (https://cogeotiff.github.io/rio-tiler/mosaic/). + - **scan_limit** (int): Return as soon as we scan N items, Default is 10,000 in PgSTAC. + - **items_limit** (int): Return as soon as we have N items per geometry, Default is 100 in PgSTAC. + - **time_limit** (int): Return after N seconds to avoid long requests, Default is 5sec in PgSTAC. + - **exitwhenfull** (bool): Return as soon as the geometry is fully covered, Default is `True` in PgSTAC. + - **skipcovered** (bool): Skip any items that would show up completely under the previous items, Default is `True` in PgSTAC. + +!!! important + if **height** and **width** are provided **max_size** will be ignored. + +Example: + +- `https://myendpoint/searches/f1ed59f0a6ad91ed80ae79b7b52bc707/feature?assets=B01` +- `https://myendpoint/searches/f1ed59f0a6ad91ed80ae79b7b52bc707/feature.png?assets=B01f` +- `https://myendpoint/searches/f1ed59f0a6ad91ed80ae79b7b52bc707/feature/100x100.png?assets=B01` + +### Register a Search Request + +`:endpoint:/searches/register - [POST]` + +- **Body** (a combination of Search+Metadata): A JSON body composed of a valid **STAC Search** query (see: https://github.com/radiantearth/stac-api-spec/tree/master/item-search) and Mosaic's metadata. + +```json +// titiler-pgstac search body example +{ + // STAC search query + "collections": [ + "string" + ], + "ids": [ + "string" + ], + "bbox": [ + "number", + "number", + "number", + "number" + ], + "intersects": { + "type": "Point", + "coordinates": [ + "number", + "number" + ] + }, + "query": { + "additionalProp1": {}, + "additionalProp2": {}, + "additionalProp3": {} + }, + "filter": {}, + "datetime": "string", + "sortby": "string", + "filter-lang": "cql-json", + // titiler-pgstac mosaic metadata + "metadata": { + "type": "mosaic", + "bounds": [ + "number", + "number", + "number", + "number" + ], + "minzoom": "number", + "maxzoom": "number", + "name": "string", + "assets": [ + "string", + "string", + ], + "defaults": {} + } +} +``` + +!!! important + In `titiler-pgstac` we extended the regular `stac` search to add a metadata entry. + Metadata defaults to `{"type": "mosaic"}`. + +Example: + +- `https://myendpoint/searches/register` + +```bash +curl -X 'POST' 'http://127.0.0.1:8081/searches/register' -H 'accept: application/json' -H 'Content-Type: application/json' -d '{"collections":["landsat-c2l2-sr"], "bbox":[-123.75,34.30714385628804,-118.125,38.82259097617712], "filter-lang": "cql-json"}' | jq +>> { + "id": "5a1b82d38d53a5d200273cbada886bd7", + "links": [ + { + "rel": "metadata", + "type": "application/json", + "href": "http://127.0.0.1:8081/searches/5a1b82d38d53a5d200273cbada886bd7/info" + }, + { + "rel": "tilejson", + "type": "application/json", + "href": "http://127.0.0.1:8081/searches/5a1b82d38d53a5d200273cbada886bd7/tilejson.json" + } + ] +} + +# or using CQL2 +curl -X 'POST' 'http://127.0.0.1:8081/searches/register' -H 'accept: application/json' -H 'Content-Type: application/json' -d '{"filter": {"op": "=", "args": [{"property": "collection"}, "landsat-c2l2-sr"]}}' + +# or using CQL2 with metadata +curl -X 'POST' 'http://127.0.0.1:8081/searches/register' -H 'accept: application/json' -H 'Content-Type: application/json' -d '{"filter": {"op": "=", "args": [{"property": "collection"}, "landsat-c2l2-sr"]}, "metadata": {"name": "landsat mosaic"}}' +``` + +### Search infos + +`:endpoint:/searches/{search_id}/info - [GET]` + +- PathParams: + - **search_id**: PgSTAC Search Identifier (Hash). + +Example: + +- `https://myendpoint/searches/5a1b82d38d53a5d200273cbada886bd7/info` + +```bash +curl 'http://127.0.0.1:8081/searches/5a1b82d38d53a5d200273cbada886bd7/info' | jq +>> { + "search": { + "hash": "5a1b82d38d53a5d200273cbada886bd7", + "search": { + "bbox": [ + -123.75, + 34.30714385628804, + -118.125, + 38.82259097617712 + ], + "collections": [ + "landsat-c2l2-sr" + ], + "filter-lang": "cql-json" + }, + "_where": "( TRUE ) AND collection_id = ANY ('{landsat-c2l2-sr}') AND geometry && '0103000020E610000001000000050000000000000000F05EC055F6687D502741400000000000F05EC02D553EA94A6943400000000000885DC02D553EA94A6943400000000000885DC055F6687D502741400000000000F05EC055F6687D50274140' ", + "orderby": "datetime DESC, id DESC", + "lastused": "2022-03-03T11:42:07.213313+00:00", + "usecount": 2, + "metadata": { + "type": "mosaic" + } + }, + "links": [ + { + "rel": "self", + "type": "application/json", + "href": "http://127.0.0.1:8081/searches/5a1b82d38d53a5d200273cbada886bd7/info" + }, + { + "rel": "tilejson", + "type": "application/json", + "href": "http://127.0.0.1:8081/searches/5a1b82d38d53a5d200273cbada886bd7/tilejson.json" + } + ] +} +``` + +### List Searches + +`:endpoint:/searches/list - [GET]` + +- QueryParams: + - **limit** (int): Page size limit, Default is `10`. + - **offset** (int): Page offset. + - **sortby** (str): Sort the searches by Metadata properties (ascending (default) or descending (`-`)). + +!!! Important + Additional query-parameters (form `PROP=VALUE`) will be considered as a **property filter**. + +Example: + +- `https://myendpoint/searches/list` +- `https://myendpoint/searches/list?limit=100` +- `https://myendpoint/searches/list?limit=10&offset=10` (page 2) +- `https://myendpoint/searches/list?data=noaa` (only show mosaics with `metadata.data == noaa`) +- `https://myendpoint/searches/list?sortby=lastused` (sort mosaic by `lastused` pgstac search property) +- `https://myendpoint/searches/list?sortby=-prop` (sort mosaic (descending) by `metadata.prop` values) + + + +[tilejson_model]: https://github.com/developmentseed/titiler/blob/2335048a407f17127099cbbc6c14e1328852d619/src/titiler/core/titiler/core/models/mapbox.py#L16-L38 +[info_model]: https://github.com/stac-utils/titiler-pgstac/blob/047315da8851a974660032ca45f219db2c3a8d54/titiler/pgstac/model.py#L236-L240 +[infos_model]: https://github.com/stac-utils/titiler-pgstac/blob/4f569fee1946f853be9b9149cb4dd2fd5c62b110/titiler/pgstac/model.py#L260-L265 +[register_model]: https://github.com/stac-utils/titiler-pgstac/blob/047315da8851a974660032ca45f219db2c3a8d54/titiler/pgstac/model.py#L229-L233 +[statitics_model]: https://github.com/developmentseed/titiler/blob/17cdff2f0ddf08dbd9a47c2140b13c4bbcc30b6d/src/titiler/core/titiler/core/models/responses.py#L49-L52 diff --git a/1.0.0/endpoints/tms_endpoints/index.html b/1.0.0/endpoints/tms_endpoints/index.html new file mode 100644 index 00000000..479db409 --- /dev/null +++ b/1.0.0/endpoints/tms_endpoints/index.html @@ -0,0 +1,1118 @@ + + + + + + + + + + + + + + + + + + + + TileMatrixSet - TiTiler.PgSTAC + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + +
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    + + + + + + + + + +

    TileMatrixSet

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    MethodURLOutputDescription
    GET/tileMatrixSetsJSON (TMS list)return the list of supported TileMatrixSet
    GET/tileMatrixSets/{TileMatrixSetId}JSON (TileMatrixSet)return the TileMatrixSet JSON document
    +

    List TMS

    +

    :endpoint:/tileMatrixSets - Get the list of supported TileMatrixSet

    +
    curl https://myendpoint/tileMatrixSets | jq
+>> {
+  "tileMatrixSets": [
+    {
+      "id": "LINZAntarticaMapTilegrid",
+      "title": "LINZ Antarctic Map Tile Grid (Ross Sea Region)",
+      "links": [
+        {
+          "href": "https://myendpoint/tileMatrixSets/LINZAntarticaMapTilegrid",
+          "rel": "item",
+          "type": "application/json"
+        }
+      ]
+    },
+    ...
+  ]
+}
+
    +

    Get TMS info

    +

    :endpoint:/tileMatrixSets/{TileMatrixSetId} - Get the TileMatrixSet JSON document

    +
      +
    • PathParams:
        +
      • TileMatrixSetId: TileMatrixSet name
        • +
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      • +
    +
    curl http://127.0.0.1:8000/tileMatrixSets/WebMercatorQuad | jq
+>> {
+  "type": "TileMatrixSetType",
+  "title": "Google Maps Compatible for the World",
+  "identifier": "WebMercatorQuad",
+  "supportedCRS": "http://www.opengis.net/def/crs/EPSG/0/3857",
+  "wellKnownScaleSet": "http://www.opengis.net/def/wkss/OGC/1.0/GoogleMapsCompatible",
+  "boundingBox": {
+    "type": "BoundingBoxType",
+    "crs": "http://www.opengis.net/def/crs/EPSG/0/3857",
+    "lowerCorner": [
+      -20037508.3427892,
+      -20037508.3427892
+    ],
+    "upperCorner": [
+      20037508.3427892,
+      20037508.3427892
+    ]
+  },
+  "tileMatrix": [
+    {
+      "type": "TileMatrixType",
+      "identifier": "0",
+      "scaleDenominator": 559082264.028717,
+      "topLeftCorner": [
+        -20037508.3427892,
+        20037508.3427892
+      ],
+      "tileWidth": 256,
+      "tileHeight": 256,
+      "matrixWidth": 1,
+      "matrixHeight": 1
+    },
+    ...
+
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    + + + + + + + + + + \ No newline at end of file diff --git a/1.0.0/endpoints/tms_endpoints/tms_endpoints.md b/1.0.0/endpoints/tms_endpoints/tms_endpoints.md new file mode 100644 index 00000000..28753665 --- /dev/null +++ b/1.0.0/endpoints/tms_endpoints/tms_endpoints.md @@ -0,0 +1,77 @@ + + +| Method | URL | Output | Description +| ------ | --------------------------------------------------------------------------|-----------------------------------|-------------- +| `GET` | `/tileMatrixSets` | JSON ([TMS list][tms_list_model]) | return the list of supported TileMatrixSet +| `GET` | `/tileMatrixSets/{TileMatrixSetId}` | JSON ([TileMatrixSet][tms_model]) | return the TileMatrixSet JSON document + +### List TMS + +`:endpoint:/tileMatrixSets` - Get the list of supported TileMatrixSet + +```bash +curl https://myendpoint/tileMatrixSets | jq +>> { + "tileMatrixSets": [ + { + "id": "LINZAntarticaMapTilegrid", + "title": "LINZ Antarctic Map Tile Grid (Ross Sea Region)", + "links": [ + { + "href": "https://myendpoint/tileMatrixSets/LINZAntarticaMapTilegrid", + "rel": "item", + "type": "application/json" + } + ] + }, + ... + ] +} +``` + +### Get TMS info + +`:endpoint:/tileMatrixSets/{TileMatrixSetId}` - Get the TileMatrixSet JSON document + +- PathParams: + - **TileMatrixSetId**: TileMatrixSet name + +```bash +curl http://127.0.0.1:8000/tileMatrixSets/WebMercatorQuad | jq +>> { + "type": "TileMatrixSetType", + "title": "Google Maps Compatible for the World", + "identifier": "WebMercatorQuad", + "supportedCRS": "http://www.opengis.net/def/crs/EPSG/0/3857", + "wellKnownScaleSet": "http://www.opengis.net/def/wkss/OGC/1.0/GoogleMapsCompatible", + "boundingBox": { + "type": "BoundingBoxType", + "crs": "http://www.opengis.net/def/crs/EPSG/0/3857", + "lowerCorner": [ + -20037508.3427892, + -20037508.3427892 + ], + "upperCorner": [ + 20037508.3427892, + 20037508.3427892 + ] + }, + "tileMatrix": [ + { + "type": "TileMatrixType", + "identifier": "0", + "scaleDenominator": 559082264.028717, + "topLeftCorner": [ + -20037508.3427892, + 20037508.3427892 + ], + "tileWidth": 256, + "tileHeight": 256, + "matrixWidth": 1, + "matrixHeight": 1 + }, + ... +``` + +[tms_list_model]: https://github.com/developmentseed/titiler/blob/f88e6e2fcbe5748cec91cfec160c08d5244183c6/src/titiler/core/titiler/core/models/OGC.py#L40-L48 +[tms_model]: https://github.com/developmentseed/morecantile/blob/aafdbfdc943d88203664b231bb027a1fe8227b14/morecantile/models.py#L119-L130 diff --git a/1.0.0/img/favicon.ico b/1.0.0/img/favicon.ico new file mode 100644 index 0000000000000000000000000000000000000000..42024e3f0d5939c8fee2d71a2cb7563be1e2f4b3 GIT binary patch literal 3350 zcmZ`*2{=@3`#;7AlgLu`nrsnfED=Lv8yd1T$S7-!OqdyrY`sKLWS7Xkrm|#-gd~h5 zeI!KVC3}oQ$d=_B;0Z{J?Fm9egA&<@;uME&Iva)K63yf0098tfIb?9p-VaX zgtP3U-}6KC+W~;V8?U2d>Z)@_hv-K1G$T1U;!t=mlAD8{sUiSK#(BrSINM~(Loq4D zyhYq*7Zy?o*Xex+x$5B}&7&)4&QxfY63FU)O-u^o!EGtEb`<-{id1^roa8||h+^g( 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@@ -0,0 +1,1219 @@ + + + + + + + + + + + + + + + + + + + + TiTiler.PgSTAC + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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    Home

    + +

    + +

    Connect PgSTAC and TiTiler.

    +

    + +

    + + Test + + + Coverage + + + Package version + + + License + +

    + +
    +

    Documentation: stac-utils.github.io/titiler-pgstac/

    +

    Source Code: stac-utils/titiler-pgstac

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    +

    TiTiler-PgSTAC is a TiTiler extension that connects to a PgSTAC database to create dynamic mosaics based on search queries.

    +

    Installation

    +

    To install from PyPI and run:

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    # Make sure to have pip up to date
+$ python -m pip install -U pip
+
+# Install `psycopg` or `psycopg["binary"]` or `psycopg["c"]`
+$ python -m pip install psycopg["binary"]
+
+$ python -m pip install titiler.pgstac
+
    +

    To install from sources and run for development:

    +
    $ git clone https://github.com/stac-utils/titiler-pgstac.git
+$ cd titiler-pgstac
+$ python -m pip install -e .
+
    +

    PgSTAC version

    +

    titiler.pgstac depends on pgstac >=0.3.4 (github.com/stac-utils/pgstac/blob/main/CHANGELOG.md#v034).

    +

    psycopg requirement

    +

    titiler.pgstac depends on the psycopg library. Because there are three ways of installing this package (psycopg or , psycopg["c"], psycopg["binary"]), the user must install this separately from titiler.pgstac.

    +
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    • psycopg: no wheel, pure python implementation. It requires the libpq installed in the system.
      • +
    • psycopg["binary"]: binary wheel distribution (shipped with libpq) of the psycopg package and is simpler for development. It requires development packages installed on the client machine.
      • +
    • psycopg["c"]: a C (faster) implementation of the libpq wrapper. It requires the libpq installed in the system.
      • +
    +

    psycopg[c] or psycopg are generally recommended for production use.

    +

    In titiler.pgstac setup.py, we have added three options to let users choose which psycopg install to use:

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      +
    • pip install titiler.pgstac["psycopg"]: pure python
      • +
    • pip install titiler.pgstac["psycopg-c"]: use the C wrapper (requires development packages installed on the client machine)
      • +
    • pip install titiler.pgstac["psycopg-binary"]: binary wheels
      • +
    +

    Launch

    +

    You'll need to have POSTGRES_USER, POSTGRES_PASS, POSTGRES_DBNAME, POSTGRES_HOST, POSTGRES_PORT variables set in your environment pointing to your Postgres database where pgstac has been installed.

    +
    export POSTGRES_USER=username
+export POSTGRES_PASS=password
+export POSTGRES_DBNAME=postgis
+export POSTGRES_HOST=database
+export POSTGRES_PORT=5432
+
    +
    $ pip install uvicorn
+$ uvicorn titiler.pgstac.main:app --reload
+
    +

    Using Docker

    +
    $ git clone https://github.com/stac-utils/titiler-pgstac.git
+$ cd titiler-pgstac
+$ docker-compose up --build tiler
+
    +

    It runs titiler.pgstac using Gunicorn web server. To run Uvicorn based version:

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    $ docker-compose up --build tiler-uvicorn
+
    +

    Contribution & Development

    +

    See CONTRIBUTING.md

    +

    License

    +

    See LICENSE

    +

    Authors

    +

    See contributors for a listing of individual contributors.

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    Changes

    +

    See CHANGES.md.

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    + + + + + + + + + + \ No newline at end of file diff --git a/1.0.0/index.md b/1.0.0/index.md new file mode 100644 index 00000000..569478af --- /dev/null +++ b/1.0.0/index.md @@ -0,0 +1,118 @@ +

    + +

    Connect PgSTAC and TiTiler.

    +

    + +

    + + Test + + + Coverage + + + Package version + + + License + +

    + +--- + +**Documentation**: https://stac-utils.github.io/titiler-pgstac/ + +**Source Code**: https://github.com/stac-utils/titiler-pgstac + +--- + +**TiTiler-PgSTAC** is a [TiTiler](https://github.com/developmentseed/titiler) extension that connects to a [PgSTAC](https://github.com/stac-utils/pgstac) database to create dynamic **mosaics** based on [search queries](https://github.com/radiantearth/stac-api-spec/tree/master/item-search). + +## Installation + +To install from PyPI and run: + +```bash +# Make sure to have pip up to date +$ python -m pip install -U pip + +# Install `psycopg` or `psycopg["binary"]` or `psycopg["c"]` +$ python -m pip install psycopg["binary"] + +$ python -m pip install titiler.pgstac +``` + +To install from sources and run for development: + +``` +$ git clone https://github.com/stac-utils/titiler-pgstac.git +$ cd titiler-pgstac +$ python -m pip install -e . +``` + +### `PgSTAC` version + +`titiler.pgstac` depends on `pgstac >=0.3.4` (https://github.com/stac-utils/pgstac/blob/main/CHANGELOG.md#v034). + +### `psycopg` requirement + +`titiler.pgstac` depends on the `psycopg` library. Because there are three ways of installing this package (`psycopg` or , `psycopg["c"]`, `psycopg["binary"]`), the user must install this separately from `titiler.pgstac`. + +- `psycopg`: no wheel, pure python implementation. It requires the `libpq` installed in the system. +- `psycopg["binary"]`: binary wheel distribution (shipped with libpq) of the `psycopg` package and is simpler for development. It requires development packages installed on the client machine. +- `psycopg["c"]`: a C (faster) implementation of the libpq wrapper. It requires the `libpq` installed in the system. + +`psycopg[c]` or `psycopg` are generally recommended for production use. + +In `titiler.pgstac` setup.py, we have added three options to let users choose which psycopg install to use: + +- `pip install titiler.pgstac["psycopg"]`: pure python +- `pip install titiler.pgstac["psycopg-c"]`: use the C wrapper (requires development packages installed on the client machine) +- `pip install titiler.pgstac["psycopg-binary"]`: binary wheels + +## Launch + +You'll need to have `POSTGRES_USER`, `POSTGRES_PASS`, `POSTGRES_DBNAME`, `POSTGRES_HOST`, `POSTGRES_PORT` variables set in your environment pointing to your Postgres database where pgstac has been installed. + +``` +export POSTGRES_USER=username +export POSTGRES_PASS=password +export POSTGRES_DBNAME=postgis +export POSTGRES_HOST=database +export POSTGRES_PORT=5432 +``` + +``` +$ pip install uvicorn +$ uvicorn titiler.pgstac.main:app --reload +``` + +### Using Docker + +``` +$ git clone https://github.com/stac-utils/titiler-pgstac.git +$ cd titiler-pgstac +$ docker-compose up --build tiler +``` + +It runs `titiler.pgstac` using Gunicorn web server. To run Uvicorn based version: + +``` +$ docker-compose up --build tiler-uvicorn +``` + +## Contribution & Development + +See [CONTRIBUTING.md](https://github.com//stac-utils/titiler-pgstac/blob/main/CONTRIBUTING.md) + +## License + +See [LICENSE](https://github.com//stac-utils/titiler-pgstac/blob/main/LICENSE) + +## Authors + +See [contributors](https://github.com/stac-utils/titiler-pgstac/graphs/contributors) for a listing of individual contributors. + +## Changes + +See [CHANGES.md](https://github.com/stac-utils/titiler-pgstac/blob/main/CHANGES.md). diff --git a/1.0.0/intro/index.html b/1.0.0/intro/index.html new file mode 100644 index 00000000..c2bc549d --- /dev/null +++ b/1.0.0/intro/index.html @@ -0,0 +1,1400 @@ + + + + + + + + + + + + + + + + + + + + Intro - TiTiler.PgSTAC + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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    Intro

    + +

    TiTiler.PgSTAC is a TiTiler extension, which create dynamic tiler connected to PgSTAC databases.

    +

    By default the main application (titiler.pgstac.main.app) provides three sets of endpoints:

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    • +

      /searches/{search_id}: Dynamic mosaic tiler based on PgSTAC Search Query

      +
      • +
    • +

      /collections/{collection_id}: Dynamic mosaic tiler based on STAC Collection

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      • +
    • +

      /collections/{collection_id}/items/{item_id}: Dynamic tiler for single STAC item (stored in PgSTAC)

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      • +
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    STAC Searches - /searches/{search_id}

    +

    Register a PgSTAC Search request

    +

    +
    +

    Important

    +

    In TiTiler.PgSTAC a STAC Search Query is equivalent to a Virtual Mosaic and a +PgSTAC Search Hash is equivalent to a Mosaic Identifier.

    +
    +

    Before being able to create Map Tiles, the user needs to register a Search Query within the PgSTAC database (in the searches table). By default, TiTiler.PgSTAC has a /searches/register (POST) endpoint which will:

    +
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    • +

      validate the search query (based on the STAC API specification item-search)

      +
      • +
    • +

      send the search query to the postgres database using the search_query PgSTAC function

      +
      • +
    • +

      return a PgSTAC Search hash

      +
      • +
    +

    Example

    +
    curl -X 'POST' 'http://127.0.0.1:8081/searches/register' \
+  -H 'accept: application/json' \
+  -H 'Content-Type: application/json' \
+  -d '{"collections":["landsat-c2l2-sr"], "bbox":[-123.75,34.30714385628804,-118.125,38.82259097617712], "filter-lang": "cql-json"}' | jq
+
+>> {
+  "id": "5a1b82d38d53a5d200273cbada886bd7",
+  "links": [
+    {
+      "rel": "metadata",
+      "type": "application/json",
+      "href": "http://127.0.0.1:8081/searches/5a1b82d38d53a5d200273cbada886bd7/info"
+    },
+    {
+      "rel": "tilejson",
+      "type": "application/json",
+      "href": "http://127.0.0.1:8081/searches/5a1b82d38d53a5d200273cbada886bd7/tilejson.json"
+    }
+  ]
+}
+
+# Or using CQL-2
+curl -X 'POST' 'http://127.0.0.1:8081/searches/register' \
+  -H 'accept: application/json' \
+  -H 'Content-Type: application/json' \
+  -d '{"filter": {"op": "and", "args": [{"op": "=", "args": [{"property": "collection"}, "landsat-c2l2-sr"]}, {"op": "s_intersects", "args": [{"property": "geometry"}, {"coordinates": [[[-123.75, 34.30714385628804], [-123.75, 38.82259097617712], [-118.125, 38.82259097617712], [-118.125, 34.30714385628804], [-123.75, 34.30714385628804]]], "type": "Polygon"}]}]}}' | jq
+
+>> {
+  "id": "5063721f06957d6b2320326d82e90d1e",
+  "links": [
+    {
+      "rel": "metadata",
+      "type": "application/json",
+      "href": "http://127.0.0.1:8081/searches/5063721f06957d6b2320326d82e90d1e/info"
+    },
+    {
+      "rel": "tilejson",
+      "type": "application/json",
+      "href": "http://127.0.0.1:8081/searches/5063721f06957d6b2320326d82e90d1e/tilejson.json"
+    }
+  ]
+}
+
    +
    curl http://127.0.0.1:8081/searches/5063721f06957d6b2320326d82e90d1e/info | jq
+
+>> {
+  "search": {
+    "hash": "5063721f06957d6b2320326d82e90d1e",  # <-- this is the PgSTAC Hash = search/mosaic identifier
+    "search": {  # <-- Summary of the search request
+      "filter": {  # <-- this is CQL2 filter associated with the search
+        "op": "and",
+        "args": [
+          {
+            "op": "=",
+            "args": [
+              {
+                "property": "collection"
+              },
+              "landsat-c2l2-sr"
+            ]
+          },
+          {
+            "op": "s_intersects",
+            "args": [
+              {
+                "property": "geometry"
+              },
+              {
+                "type": "Polygon",
+                "coordinates": [
+                  [
+                    [
+                      -123.75,
+                      34.30714385628804
+                    ],
+                    [
+                      -123.75,
+                      38.82259097617712
+                    ],
+                    [
+                      -118.125,
+                      38.82259097617712
+                    ],
+                    [
+                      -118.125,
+                      34.30714385628804
+                    ],
+                    [
+                      -123.75,
+                      34.30714385628804
+                    ]
+                  ]
+                ]
+              }
+            ]
+          }
+        ]
+      }
+    },
+    "_where": "(  ( (collection_id = 'landsat-c2l2-sr') and st_intersects(geometry, '0103000020E610000001000000050000000000000000F05EC055F6687D502741400000000000F05EC02D553EA94A6943400000000000885DC02D553EA94A6943400000000000885DC055F6687D502741400000000000F05EC055F6687D50274140'::geometry) )  )  ",  # <-- internal pgstac WHERE expression
+    "orderby": "datetime DESC, id DESC",
+    "lastused": "2022-03-03T11:44:55.878504+00:00",  # <-- internal pgstac variable
+    "usecount": 2,  # <-- internal pgstac variable
+    "metadata": {  # <-- titiler-pgstac Mosaic Metadata
+      "type": "mosaic"  # <-- when we use the `/searches/register` endpoint, titiler-pgstac will add `type=mosaic` to the metadata
+    }
+  },
+  "links": [
+    {
+      "rel": "self",
+      "type": "application/json",
+      "href": "http://127.0.0.1:8081/searches/5063721f06957d6b2320326d82e90d1e/info"
+    },
+    {
+      "rel": "tilejson",
+      "type": "application/json",
+      "href": "http://127.0.0.1:8081/searches/5063721f06957d6b2320326d82e90d1e/tilejson.json"
+    }
+  ]
+}
+
    +

    Mosaic Metadata

    +

    In addition to the search query, a user can pass metadata, which will be saved in the postgres table.

    +
    curl -X 'POST' 'http://127.0.0.1:8081/searches/register' \
+  -H 'accept: application/json' \
+  -H 'Content-Type: application/json' \
+  -d '{"collections":["landsat-c2l2-sr"], "bbox":[-123.75,34.30714385628804,-118.125,38.82259097617712], "filter-lang": "cql-json", "metadata": {"minzoom": 8, "maxzoom": 13, "assets": ["B04", "B03", "B02"], "defaults": {"true_color": {"assets": ["B04", "B03", "B02"], "color_formula": "Gamma RGB 3.5 Saturation 1.7 Sigmoidal RGB 15 0.35"}}}}' | jq
+
+>> {
+  "id": "f31d7de8a5ddfa3a80b9a9dd06378db1",
+  "links": [
+    {
+      "rel": "metadata",
+      "type": "application/json",
+      "href": "http://127.0.0.1:8081/searches/f31d7de8a5ddfa3a80b9a9dd06378db1/info"
+    },
+    {
+      "rel": "tilejson",
+      "type": "application/json",
+      "href": "http://127.0.0.1:8081/searches/f31d7de8a5ddfa3a80b9a9dd06378db1/tilejson.json"
+    }
+  ]
+}
+
+curl http://127.0.0.1:8081/searches/f31d7de8a5ddfa3a80b9a9dd06378db1/info | jq '.search.metadata'
+>> {
+  "type": "mosaic",
+  "minzoom": 8,
+  "maxzoom": 13,
+  "assets": [
+    "B04",
+    "B03",
+    "B02"
+  ],
+  "defaults": {
+    "true_color": {
+      "assets": [
+        "B04",
+        "B03",
+        "B02"
+      ],
+      "color_formula": "Gamma RGB 3.5 Saturation 1.7 Sigmoidal RGB 15 0.35"
+    }
+  }
+}
+
    +

    Fetch mosaic Tiles

    +

    When we have an id we can call the dynamic tiler and ask for Map Tiles.

    +

    +

    How it works

    +

    On each Tile request, the tiler api is going to call the PgSTAC geometrysearch function with the id and the Tile geometry to get the list of STAC Items (code). Then based on the assets parameter, the tiler will construct the tile image (code).

    +
    +

    Important

    +

    Because Tiles will be created from STAC Items we HAVE TO pass assets={stac asset} option to the tile endpoint to tell the tiler which STAC assets has to be used.

    +

    See full list of options

    +
    +

    Example

    +
    curl 'http://127.0.0.1:8081/searches/f1ed59f0a6ad91ed80ae79b7b52bc707/tiles/8/40/102.png?assets=B01&rescale=0,16000 > 8-40-102.png
+
    +

    STAC Collection - /collections/{collection_id}

    +

    No need for the user to register search queries for those endpoints. The tiler will automatically register a search query (collection={collection_id}).

    +

    example

    +
    curl http://127.0.0.1:8081/collections/my-collection/tilejson.json?assets=data
+{
+  "tilejson": "2.2.0",
+  "name": "Mosaic for 'my-collection' Collection",
+  "version": "1.0.0",
+  "scheme": "xyz",
+  "tiles": [
+    "http://127.0.0.1:8081/collections/my-collection/tiles/WebMercatorQuad/{z}/{x}/{y}?assets=data"
+  ],
+  "minzoom": 0,
+  "maxzoom": 24,
+  "bounds": [
+    -180,
+    -90,
+    180,
+    90
+  ],
+  "center": [
+    0,
+    0,
+    0
+  ]
+}
+
    +

    STAC Item - /collections/{collection_id}/items/{item_id}

    +

    titiler-pgstac can also be used to access individual item stored in the PgSTAC database. By default the titiler-pgstac application will have a set of /collections/{collection_id}/items/{item_id}/... endpoints. The endpoints are created using titiler.core.factory.MultiBaseTilerFactory but using a custom path_dependency with collection_id and item_id path parameters instead of the STAC url as query parameter.

    +

    example

    +
    curl http://127.0.0.1:8081/collections/world/items/world_20000_5000/info | jq
+{
+  "asset": {
+    "bounds": [
+      153.5000000000667,
+      -76.83333333336668,
+      179.8333333334053,
+      6.4999999999833165
+    ],
+    "minzoom": 3,
+    "maxzoom": 6,
+    "band_metadata": [
+      [
+        "b1",
+        {}
+      ],
+      [
+        "b2",
+        {}
+      ],
+      [
+        "b3",
+        {}
+      ]
+    ],
+    "band_descriptions": [
+      [
+        "b1",
+        ""
+      ],
+      [
+        "b2",
+        ""
+      ],
+      [
+        "b3",
+        ""
+      ]
+    ],
+    "dtype": "uint8",
+    "nodata_type": "None",
+    "colorinterp": [
+      "red",
+      "green",
+      "blue"
+    ],
+    "driver": "GTiff",
+    "count": 3,
+    "width": 1580,
+    "height": 5000,
+    "overviews": [
+      2,
+      4,
+      8,
+      16
+    ]
+  }
+}
+
    +

    See full list of endpoints

    + + + + + + +
    +
    + + +
    + +
    + + + +
    +
    +
    +
    + + + + + + + + + + \ No newline at end of file diff --git a/1.0.0/intro/intro.md b/1.0.0/intro/intro.md new file mode 100644 index 00000000..4f19cc90 --- /dev/null +++ b/1.0.0/intro/intro.md @@ -0,0 +1,330 @@ + + +**TiTiler.PgSTAC** is a TiTiler extension, which create dynamic tiler connected to PgSTAC databases. + +By default the main application (`titiler.pgstac.main.app`) provides three sets of endpoints: + +- `/searches/{search_id}`: Dynamic **mosaic** tiler based on PgSTAC Search Query + +- `/collections/{collection_id}`: Dynamic **mosaic** tiler based on STAC Collection + +- `/collections/{collection_id}/items/{item_id}`: Dynamic tiler for single STAC item (stored in PgSTAC) + +## STAC Searches - `/searches/{search_id}` + +#### Register a PgSTAC `Search` request + +![](https://user-images.githubusercontent.com/10407788/132193537-0560016f-09bc-4a25-8a2a-eac9b50bc28a.png) + +!!! Important + In `TiTiler.PgSTAC` a STAC [`Search Query`](https://github.com/radiantearth/stac-api-spec/tree/master/item-search) is equivalent to a *Virtual Mosaic* and a + PgSTAC [`Search Hash`](https://github.com/stac-utils/pgstac/blob/main/src/pgstac/sql/004_search.sql#L411-L427) is equivalent to a *Mosaic Identifier*. + + +Before being able to create Map Tiles, the user needs to register a `Search Query` within the PgSTAC database (in the `searches` table). By default, `TiTiler.PgSTAC` has a `/searches/register (POST)` endpoint which will: + + - validate the search query (based on the STAC API specification [`item-search`]((https://github.com/radiantearth/stac-api-spec/tree/master/item-search))) + + - send the search query to the postgres database using the [`search_query`](https://github.com/stac-utils/pgstac/blob/76512ab50e1373e3f77c65843cf328cbe6dd0dec/sql/004_search.sql#L1000) PgSTAC function + + - return a PgSTAC Search hash + +**Example** + +```bash +curl -X 'POST' 'http://127.0.0.1:8081/searches/register' \ + -H 'accept: application/json' \ + -H 'Content-Type: application/json' \ + -d '{"collections":["landsat-c2l2-sr"], "bbox":[-123.75,34.30714385628804,-118.125,38.82259097617712], "filter-lang": "cql-json"}' | jq + +>> { + "id": "5a1b82d38d53a5d200273cbada886bd7", + "links": [ + { + "rel": "metadata", + "type": "application/json", + "href": "http://127.0.0.1:8081/searches/5a1b82d38d53a5d200273cbada886bd7/info" + }, + { + "rel": "tilejson", + "type": "application/json", + "href": "http://127.0.0.1:8081/searches/5a1b82d38d53a5d200273cbada886bd7/tilejson.json" + } + ] +} + +# Or using CQL-2 +curl -X 'POST' 'http://127.0.0.1:8081/searches/register' \ + -H 'accept: application/json' \ + -H 'Content-Type: application/json' \ + -d '{"filter": {"op": "and", "args": [{"op": "=", "args": [{"property": "collection"}, "landsat-c2l2-sr"]}, {"op": "s_intersects", "args": [{"property": "geometry"}, {"coordinates": [[[-123.75, 34.30714385628804], [-123.75, 38.82259097617712], [-118.125, 38.82259097617712], [-118.125, 34.30714385628804], [-123.75, 34.30714385628804]]], "type": "Polygon"}]}]}}' | jq + +>> { + "id": "5063721f06957d6b2320326d82e90d1e", + "links": [ + { + "rel": "metadata", + "type": "application/json", + "href": "http://127.0.0.1:8081/searches/5063721f06957d6b2320326d82e90d1e/info" + }, + { + "rel": "tilejson", + "type": "application/json", + "href": "http://127.0.0.1:8081/searches/5063721f06957d6b2320326d82e90d1e/tilejson.json" + } + ] +} +``` + + +```bash +curl http://127.0.0.1:8081/searches/5063721f06957d6b2320326d82e90d1e/info | jq + +>> { + "search": { + "hash": "5063721f06957d6b2320326d82e90d1e", # <-- this is the PgSTAC Hash = search/mosaic identifier + "search": { # <-- Summary of the search request + "filter": { # <-- this is CQL2 filter associated with the search + "op": "and", + "args": [ + { + "op": "=", + "args": [ + { + "property": "collection" + }, + "landsat-c2l2-sr" + ] + }, + { + "op": "s_intersects", + "args": [ + { + "property": "geometry" + }, + { + "type": "Polygon", + "coordinates": [ + [ + [ + -123.75, + 34.30714385628804 + ], + [ + -123.75, + 38.82259097617712 + ], + [ + -118.125, + 38.82259097617712 + ], + [ + -118.125, + 34.30714385628804 + ], + [ + -123.75, + 34.30714385628804 + ] + ] + ] + } + ] + } + ] + } + }, + "_where": "( ( (collection_id = 'landsat-c2l2-sr') and st_intersects(geometry, '0103000020E610000001000000050000000000000000F05EC055F6687D502741400000000000F05EC02D553EA94A6943400000000000885DC02D553EA94A6943400000000000885DC055F6687D502741400000000000F05EC055F6687D50274140'::geometry) ) ) ", # <-- internal pgstac WHERE expression + "orderby": "datetime DESC, id DESC", + "lastused": "2022-03-03T11:44:55.878504+00:00", # <-- internal pgstac variable + "usecount": 2, # <-- internal pgstac variable + "metadata": { # <-- titiler-pgstac Mosaic Metadata + "type": "mosaic" # <-- when we use the `/searches/register` endpoint, titiler-pgstac will add `type=mosaic` to the metadata + } + }, + "links": [ + { + "rel": "self", + "type": "application/json", + "href": "http://127.0.0.1:8081/searches/5063721f06957d6b2320326d82e90d1e/info" + }, + { + "rel": "tilejson", + "type": "application/json", + "href": "http://127.0.0.1:8081/searches/5063721f06957d6b2320326d82e90d1e/tilejson.json" + } + ] +} +``` + +#### Mosaic Metadata + +In addition to the `search query`, a user can pass `metadata`, which will be saved in the postgres table. + +```bash +curl -X 'POST' 'http://127.0.0.1:8081/searches/register' \ + -H 'accept: application/json' \ + -H 'Content-Type: application/json' \ + -d '{"collections":["landsat-c2l2-sr"], "bbox":[-123.75,34.30714385628804,-118.125,38.82259097617712], "filter-lang": "cql-json", "metadata": {"minzoom": 8, "maxzoom": 13, "assets": ["B04", "B03", "B02"], "defaults": {"true_color": {"assets": ["B04", "B03", "B02"], "color_formula": "Gamma RGB 3.5 Saturation 1.7 Sigmoidal RGB 15 0.35"}}}}' | jq + +>> { + "id": "f31d7de8a5ddfa3a80b9a9dd06378db1", + "links": [ + { + "rel": "metadata", + "type": "application/json", + "href": "http://127.0.0.1:8081/searches/f31d7de8a5ddfa3a80b9a9dd06378db1/info" + }, + { + "rel": "tilejson", + "type": "application/json", + "href": "http://127.0.0.1:8081/searches/f31d7de8a5ddfa3a80b9a9dd06378db1/tilejson.json" + } + ] +} + +curl http://127.0.0.1:8081/searches/f31d7de8a5ddfa3a80b9a9dd06378db1/info | jq '.search.metadata' +>> { + "type": "mosaic", + "minzoom": 8, + "maxzoom": 13, + "assets": [ + "B04", + "B03", + "B02" + ], + "defaults": { + "true_color": { + "assets": [ + "B04", + "B03", + "B02" + ], + "color_formula": "Gamma RGB 3.5 Saturation 1.7 Sigmoidal RGB 15 0.35" + } + } +} +``` + +#### Fetch mosaic `Tiles` + +When we have an **id** we can call the dynamic tiler and ask for Map Tiles. + +![](https://user-images.githubusercontent.com/10407788/132197899-e79b3118-313b-45e7-a431-5d3034984459.png) + +**How it works** + +On each `Tile` request, the tiler api is going to call the PgSTAC [`geometrysearch`](https://github.com/stac-utils/pgstac/blob/76512ab50e1373e3f77c65843cf328cbe6dd0dec/sql/006_tilesearch.sql#L4) function with the `id` and the `Tile geometry` to get the list of **STAC Items** ([code](https://github.com/stac-utils/titiler-pgstac/blob/0f2b5b4ba50bb3458237ab21cf9a154d7b811851/titiler/pgstac/mosaic.py#L238-L247)). Then based on the `assets` parameter, the tiler will construct the tile image ([code](https://github.com/stac-utils/titiler-pgstac/blob/0f2b5b4ba50bb3458237ab21cf9a154d7b811851/titiler/pgstac/mosaic.py#L257-L263)). + +!!! important + Because `Tiles` will be created from **STAC Items** we HAVE TO pass **`assets={stac asset}`** option to the tile endpoint to tell the tiler which **STAC assets** has to be used. + + See full list of [options](../mosaic_endpoints/#tiles) + +**Example** + +```bash +curl 'http://127.0.0.1:8081/searches/f1ed59f0a6ad91ed80ae79b7b52bc707/tiles/8/40/102.png?assets=B01&rescale=0,16000 > 8-40-102.png +``` + +## STAC Collection - `/collections/{collection_id}` + +No need for the user to `register` search queries for those endpoints. The tiler will automatically `register` a search query (`collection={collection_id}`). + +**example** + +```bash +curl http://127.0.0.1:8081/collections/my-collection/tilejson.json?assets=data +{ + "tilejson": "2.2.0", + "name": "Mosaic for 'my-collection' Collection", + "version": "1.0.0", + "scheme": "xyz", + "tiles": [ + "http://127.0.0.1:8081/collections/my-collection/tiles/WebMercatorQuad/{z}/{x}/{y}?assets=data" + ], + "minzoom": 0, + "maxzoom": 24, + "bounds": [ + -180, + -90, + 180, + 90 + ], + "center": [ + 0, + 0, + 0 + ] +} +``` + +## STAC Item - `/collections/{collection_id}/items/{item_id}` + +`titiler-pgstac` can also be used to access individual item stored in the PgSTAC database. By default the `titiler-pgstac` application will have a set of `/collections/{collection_id}/items/{item_id}/...` endpoints. The endpoints are created using [titiler.core.factory.MultiBaseTilerFactory](https://developmentseed.org/titiler/advanced/tiler_factories/#titilercorefactorymultibasetilerfactory) but using a custom `path_dependency` with `collection_id` and `item_id` path parameters instead of the STAC url as query parameter. + +**example** + +```bash +curl http://127.0.0.1:8081/collections/world/items/world_20000_5000/info | jq +{ + "asset": { + "bounds": [ + 153.5000000000667, + -76.83333333336668, + 179.8333333334053, + 6.4999999999833165 + ], + "minzoom": 3, + "maxzoom": 6, + "band_metadata": [ + [ + "b1", + {} + ], + [ + "b2", + {} + ], + [ + "b3", + {} + ] + ], + "band_descriptions": [ + [ + "b1", + "" + ], + [ + "b2", + "" + ], + [ + "b3", + "" + ] + ], + "dtype": "uint8", + "nodata_type": "None", + "colorinterp": [ + "red", + "green", + "blue" + ], + "driver": "GTiff", + "count": 3, + "width": 1580, + "height": 5000, + "overviews": [ + 2, + 4, + 8, + 16 + ] + } +} + +``` + +See full list of [endpoints](../item_endpoints) diff --git a/1.0.0/migrations/v1_migration/index.html b/1.0.0/migrations/v1_migration/index.html new file mode 100644 index 00000000..2caf3ab2 --- /dev/null +++ b/1.0.0/migrations/v1_migration/index.html @@ -0,0 +1,1373 @@ + + + + + + + + + + + + + + + + + + + + v0.8 -> v1.0 - TiTiler.PgSTAC + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + +
    + + + + + + +
    + + +
    + +
    + + + + + + +
    +
    + + + +
    +
    +
    + + + + +
    +
    +
    + + + +
    +
    +
    + + + +
    +
    +
    + + + +
    +
    + + + + + + + + + +

    v0.8 -> v1.0

    + +

    titiler-pgstac version 1.0 introduced many breaking changes. This +document aims to help with migrating your code and client application to use titiler-pgstac~=1.0.

    +

    Endpoints

    +

    New /collections/{collection_id} endpoints

    +

    With this new set of endpoints, there is no more need to register a PgSTAC Search in advance. The tiler will do it dynamically at request time.

    +
    + +
    # Simplified version of the CollectionIdParams
+# https://github.com/stac-utils/titiler-pgstac/blob/7da390e42d3abaace5ca9a7172c799289e4cacf7/titiler/pgstac/dependencies.py#L37-L91
+def CollectionIdParams(
+    request: Request,
+    collection_id: Annotated[
+        str,
+        Path(description="STAC Collection Identifier"),
+    ],
+) -> str:
+    """collection_id Path Parameter"""
+    search = model.PgSTACSearch(collections=[collection_id])
+
+    with request.app.state.dbpool.connection() as conn:
+        with conn.cursor(row_factory=class_row(model.Search)) as cursor:
+
+            metadata = model.Metadata(
+                name=f"Mosaic for '{collection_id}' Collection",
+            )
+            cursor.execute(
+                "SELECT * FROM search_query(%s, _metadata => %s);",
+                (
+                    search.model_dump_json(by_alias=True, exclude_none=True),
+                    metadata.model_dump_json(exclude_none=True),
+                ),
+            )
+            search_info = cursor.fetchone()
+
+    return search_info.id
+
    + +
    + +

    /mosaic/{searchid} -> /searches/{search_id}

    +

    We chose to rename the prefix of the PgSTAC Searches endpoints from /mosaic to /searches to match the collections and items endpoint prefixes.

    +

    Note: We also renamed searchid to search_id but this should be seamless for users.

    +
    # before
+resp = httpx.get("/mosaic/{{ searchid }}/info")
+
+# now
+resp = httpx.get("/searches/{{ search_id }}/info")
+
    +
    +

    Important

    +

    You can change the prefix for the MosaicTilerFactory's endpoints and could +easily revert this change in your own application.

    +
    from fastapi import FastAPI
+
+from titiler.pgstac.factory import (
+    MosaicTilerFactory,
+    add_search_list_route,
+    add_search_register_route,
+)
+from titiler.pgstac.dependencies import SearchIdParams
+from titiler.pgstac.extensions import searchInfoExtension
+
+app = FastAPI()
+
+# STAC Search Endpoints
+searches = MosaicTilerFactory(
+    path_dependency=SearchIdParams,
+    router_prefix="/mosaic/{search_id}",
+    add_statistics=True,
+    add_viewer=True,
+    add_part=True,
+    extensions=[
+        searchInfoExtension(),
+    ],
+)
+app.include_router(
+    searches.router, tags=["STAC Search"], prefix="/mosaic/{search_id}"
+)
+add_search_register_route(
+    app,
+    prefix="/mosaic",
+    tile_dependencies=[
+        searches.layer_dependency,
+        searches.dataset_dependency,
+        searches.pixel_selection_dependency,
+        searches.process_dependency,
+        searches.rescale_dependency,
+        searches.colormap_dependency,
+        searches.render_dependency,
+        searches.pgstac_dependency,
+        searches.reader_dependency,
+        searches.backend_dependency,
+    ],
+    tags=["STAC Search"],
+)
+add_search_list_route(app, prefix="/mosaic", tags=["STAC Search"])
+
    +
    +

    searchid -> id

    +

    In titiler.pgstac.model.RegisterResponse, model used in /register endpoint, we renamed searchid by id.

    +
    # before
+resp = httpx.post("/mosaic/register", body={"collections": ["my-collection"], "filter-lang": "cql-json"})
+assert resp.json()["searchid"]
+
+# now
+resp = httpx.post("/searches/register", body={"collections": ["my-collection"], "filter-lang": "cql-json"})
+assert resp.json()["id"]
+
    +

    API

    +

    PathParams / ItemPathParams -> SearchIdParams / ItemIdParams

    +

    We renamed both PathParams and ItemPathParams classes to SearchIdParams and ItemIdParams to better match with the CollectionIdParams dependency.

    +

    remove /{search_id} prefix in MosaicTilerFactory

    +

    In order to re-use the MosaicTilerFactory for collections we had to remove the /{search_id} prefix which was hardcoded in each endpoint routes. This is now added to the router_prefix.

    +
    # Before
+app = FastAPI()
+mosaic = MosaicTilerFactory(
+    ...,
+    router_prefix="/mosaics"
+)
+app.include_router(mosaic.router, prefix="/mosaics")
+
+# Now
+app = FastAPI()
+mosaic = MosaicTilerFactory(
+    ...
+    router_prefix="/mosaics/{search_id}"
+)
+app.include_router(mosaic.router, prefix="/mosaics/{search_id}")
+
    +

    path_dependency required input for MosaicTilerFactory class

    +

    With the introduction of the collections endpoints, and because we removed the default {search_id} prefix, we cannot default to SearchIdParams for the path_dependency (the dependency which sends the PgSTAC search identifier to the Mosaic Reader) and thus is now a required attribute when initializing the endpoints.

    +
    # before
+app = FastAPI()
+mosaic = MosaicTilerFactory(...)
+app.include_router(mosaic.router)
+
+# now
+app = FastAPI()
+mosaic = MosaicTilerFactory(
+    ...,
+    path_dependency=lambda: "aaaaaaaaaaaaaa"
+)
+app.include_router(mosaic.router)
+
    +

    searchInfoExtension

    +

    We moved the MosaicTilerFactory info endpoint outside the class to its own extension.

    +
    # Before
+app = FastAPI()
+mosaic = MosaicTilerFactory(...)
+app.include_router(mosaic.router)
+
+# Now
+app = FastAPI()
+mosaic = MosaicTilerFactory(
+    ...
+    extensions=[
+        searchInfoExtension(),
+    ]
+)
+app.include_router(mosaic.router)
+
    +

    Register and List endpoints

    +

    we moved the /register and /list endpoints creation outside the MosaicTilerFactory class because they are not usable for the collection's endpoint and do not need the /{search_id} prefix.

    +
    # before
+from titiler.pgstac.factory import MosaicTilerFactory
+
+mosaic = MosaicTilerFactory(
+    ...,
+    router_prefix="/{search_id}",
+)
+app.include_router(mosaic.router, prefix="/{search_id}")
+
+# Now
+from titiler.pgstac.factory import (
+    MosaicTilerFactory,
+    add_search_register_route,
+    add_mosaic_register_route,
+)
+
+mosaic = MosaicTilerFactory(
+    ...,
+    router_prefix="/{search_id}",
+)
+app.include_router(mosaic.router, prefix="/{search_id}")
+
+# add /register endpoint
+add_search_register_route(
+    app,
+    # any dependency we want to validate
+    # when creating the tilejson/map links
+    tile_dependencies=[
+        mosaic.layer_dependency,
+        mosaic.dataset_dependency,
+        mosaic.pixel_selection_dependency,
+        mosaic.process_dependency,
+        mosaic.rescale_dependency,
+        mosaic.colormap_dependency,
+        mosaic.render_dependency,
+        mosaic.pgstac_dependency,
+        mosaic.reader_dependency,
+        mosaic.backend_dependency,
+    ],
+)
+# add /list endpoint
+add_search_list_route(app)
+
    + + + + + + +
    +
    + + +
    + +
    + + + +
    +
    +
    +
    + + + + + + + + + + \ No newline at end of file diff --git a/1.0.0/migrations/v1_migration/v1_migration.md b/1.0.0/migrations/v1_migration/v1_migration.md new file mode 100644 index 00000000..70afb3a1 --- /dev/null +++ b/1.0.0/migrations/v1_migration/v1_migration.md @@ -0,0 +1,241 @@ +`titiler-pgstac` version 1.0 introduced [many breaking changes](../release-notes.md). This +document aims to help with migrating your code and client application to use `titiler-pgstac~=1.0`. + +## Endpoints + +### New `/collections/{collection_id}` endpoints + +With this new set of endpoints, there is no more need to *register* a PgSTAC Search in advance. The tiler will do it dynamically at request time. + +
    + +```python +# Simplified version of the CollectionIdParams +# https://github.com/stac-utils/titiler-pgstac/blob/7da390e42d3abaace5ca9a7172c799289e4cacf7/titiler/pgstac/dependencies.py#L37-L91 +def CollectionIdParams( + request: Request, + collection_id: Annotated[ + str, + Path(description="STAC Collection Identifier"), + ], +) -> str: + """collection_id Path Parameter""" + search = model.PgSTACSearch(collections=[collection_id]) + + with request.app.state.dbpool.connection() as conn: + with conn.cursor(row_factory=class_row(model.Search)) as cursor: + + metadata = model.Metadata( + name=f"Mosaic for '{collection_id}' Collection", + ) + cursor.execute( + "SELECT * FROM search_query(%s, _metadata => %s);", + ( + search.model_dump_json(by_alias=True, exclude_none=True), + metadata.model_dump_json(exclude_none=True), + ), + ) + search_info = cursor.fetchone() + + return search_info.id +``` + +
    + +### `/mosaic/{searchid}` -> `/searches/{search_id}` + +We chose to rename the prefix of the PgSTAC Searches endpoints from `/mosaic` to `/searches` to match the collections and items endpoint prefixes. + +Note: We also renamed `searchid` to `search_id` but this should be seamless for users. + +```python + +# before +resp = httpx.get("/mosaic/{{ searchid }}/info") + +# now +resp = httpx.get("/searches/{{ search_id }}/info") +``` + +!!! important + + You can change the *prefix* for the `MosaicTilerFactory`'s endpoints and could + easily revert this change in your own application. + + ```python + from fastapi import FastAPI + + from titiler.pgstac.factory import ( + MosaicTilerFactory, + add_search_list_route, + add_search_register_route, + ) + from titiler.pgstac.dependencies import SearchIdParams + from titiler.pgstac.extensions import searchInfoExtension + + app = FastAPI() + + # STAC Search Endpoints + searches = MosaicTilerFactory( + path_dependency=SearchIdParams, + router_prefix="/mosaic/{search_id}", + add_statistics=True, + add_viewer=True, + add_part=True, + extensions=[ + searchInfoExtension(), + ], + ) + app.include_router( + searches.router, tags=["STAC Search"], prefix="/mosaic/{search_id}" + ) + add_search_register_route( + app, + prefix="/mosaic", + tile_dependencies=[ + searches.layer_dependency, + searches.dataset_dependency, + searches.pixel_selection_dependency, + searches.process_dependency, + searches.rescale_dependency, + searches.colormap_dependency, + searches.render_dependency, + searches.pgstac_dependency, + searches.reader_dependency, + searches.backend_dependency, + ], + tags=["STAC Search"], + ) + add_search_list_route(app, prefix="/mosaic", tags=["STAC Search"]) + ``` + +### `searchid` -> `id` + +In `titiler.pgstac.model.RegisterResponse`, model used in `/register` endpoint, we renamed `searchid` by `id`. + +```python +# before +resp = httpx.post("/mosaic/register", body={"collections": ["my-collection"], "filter-lang": "cql-json"}) +assert resp.json()["searchid"] + +# now +resp = httpx.post("/searches/register", body={"collections": ["my-collection"], "filter-lang": "cql-json"}) +assert resp.json()["id"] +``` + +## API + +### `PathParams / ItemPathParams` -> `SearchIdParams / ItemIdParams` + +We renamed both `PathParams` and `ItemPathParams` classes to `SearchIdParams` and `ItemIdParams` to better match with the `CollectionIdParams` dependency. + +### remove `/{search_id}` prefix in `MosaicTilerFactory` + +In order to re-use the `MosaicTilerFactory` for *collections* we had to remove the `/{search_id}` prefix which was hardcoded in each endpoint routes. This is now added to the `router_prefix`. + +```python +# Before +app = FastAPI() +mosaic = MosaicTilerFactory( + ..., + router_prefix="/mosaics" +) +app.include_router(mosaic.router, prefix="/mosaics") + +# Now +app = FastAPI() +mosaic = MosaicTilerFactory( + ... + router_prefix="/mosaics/{search_id}" +) +app.include_router(mosaic.router, prefix="/mosaics/{search_id}") +``` + +### `path_dependency` required input for `MosaicTilerFactory` class + +With the introduction of the *collections* endpoints, and because we removed the default `{search_id}` prefix, we cannot default to `SearchIdParams` for the `path_dependency` (the dependency which sends the PgSTAC search identifier to the Mosaic Reader) and thus is now a required attribute when initializing the endpoints. + +```python +# before +app = FastAPI() +mosaic = MosaicTilerFactory(...) +app.include_router(mosaic.router) + +# now +app = FastAPI() +mosaic = MosaicTilerFactory( + ..., + path_dependency=lambda: "aaaaaaaaaaaaaa" +) +app.include_router(mosaic.router) +``` + +### `searchInfoExtension` + +We moved the `MosaicTilerFactory` *info* endpoint outside the class to its own extension. + +```python +# Before +app = FastAPI() +mosaic = MosaicTilerFactory(...) +app.include_router(mosaic.router) + +# Now +app = FastAPI() +mosaic = MosaicTilerFactory( + ... + extensions=[ + searchInfoExtension(), + ] +) +app.include_router(mosaic.router) +``` + +### `Register` and `List` endpoints + +we moved the `/register` and `/list` endpoints creation outside the `MosaicTilerFactory` class because they are not usable for the collection's endpoint and do not need the `/{search_id}` prefix. + +```python +# before +from titiler.pgstac.factory import MosaicTilerFactory + +mosaic = MosaicTilerFactory( + ..., + router_prefix="/{search_id}", +) +app.include_router(mosaic.router, prefix="/{search_id}") + +# Now +from titiler.pgstac.factory import ( + MosaicTilerFactory, + add_search_register_route, + add_mosaic_register_route, +) + +mosaic = MosaicTilerFactory( + ..., + router_prefix="/{search_id}", +) +app.include_router(mosaic.router, prefix="/{search_id}") + +# add /register endpoint +add_search_register_route( + app, + # any dependency we want to validate + # when creating the tilejson/map links + tile_dependencies=[ + mosaic.layer_dependency, + mosaic.dataset_dependency, + mosaic.pixel_selection_dependency, + mosaic.process_dependency, + mosaic.rescale_dependency, + mosaic.colormap_dependency, + mosaic.render_dependency, + mosaic.pgstac_dependency, + mosaic.reader_dependency, + mosaic.backend_dependency, + ], +) +# add /list endpoint +add_search_list_route(app) +``` diff --git a/1.0.0/notebooks/demo/demo.ipynb b/1.0.0/notebooks/demo/demo.ipynb new file mode 100644 index 00000000..a860392f --- /dev/null +++ b/1.0.0/notebooks/demo/demo.ipynb @@ -0,0 +1,691 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## titiler.PgSTAC Demo\n", + "\n", + "This Notebook aims to show the different features provided by titiler.pgstac application\n", + "\n", + "In order to run this demo you'll need to have a PgSTAC database and the titiler.pgstac application running. The easiest way to launch them is to use the repo's docker-compose.yml\n", + "\n", + "```\n", + "docker-compose up tiler\n", + "```\n", + "\n", + "\n", + "### Python requirements\n", + "\n", + "```\n", + "pip install httpx folium pypgstac psycopg psycopg-pool geojson-pydantic\n", + "```\n", + "\n", + "### Populate the PgSTAC db with data \n", + "\n", + "```\n", + "$ pypgstac load collections tests/fixtures/noaa-emergency-response.json --dsn postgresql://username:password@localhost:5439/postgis --method insert \n", + "$ pypgstac load items tests/fixtures/noaa-eri-nashville2020.json --dsn postgresql://username:password@localhost:5439/postgis --method insert\n", + "```\n" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'database_online': True}\n" + ] + } + ], + "source": [ + "import json\n", + "import httpx\n", + "from folium import Map, TileLayer, GeoJson\n", + "\n", + "from geojson_pydantic import Feature, Polygon\n", + "\n", + "endpoint = \"http://127.0.0.1:8081\"\n", + "\n", + "print(httpx.get(f\"{endpoint}/healthz\").json())" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
    Make this Notebook Trusted to load map: File -> Trust Notebook
    " + ], + "text/plain": [ + "" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# bounds of the noaa-eri-nashville2020.json items\n", + "bounds = (-87.0251, 36.0999, -85.4249, 36.2251)\n", + "\n", + "poly = Polygon.from_bounds(*bounds)\n", + "geojson = Feature(type=\"Feature\", geometry=poly, properties=None).dict(exclude_none=True)\n", + "\n", + "m = Map(\n", + " tiles=\"OpenStreetMap\",\n", + " location=((bounds[1] + bounds[3]) / 2,(bounds[0] + bounds[2]) / 2),\n", + " zoom_start=8\n", + ")\n", + "\n", + "geo_json = GeoJson(\n", + " data=geojson,\n", + " style_function=lambda x: {\n", + " 'opacity': 1, 'dashArray': '1', 'fillOpacity': 0, 'weight': 1\n", + " },\n", + ")\n", + "geo_json.add_to(m)\n", + "m" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Register Search query" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'searchid': '6d436413d0eed760acc2f6bd16ca77a5', 'links': [{'rel': 'metadata', 'type': 'application/json', 'href': 'http://127.0.0.1:8081/mosaic/6d436413d0eed760acc2f6bd16ca77a5/info'}, {'rel': 'tilejson', 'type': 'application/json', 'href': 'http://127.0.0.1:8081/mosaic/6d436413d0eed760acc2f6bd16ca77a5/tilejson.json'}]}\n" + ] + } + ], + "source": [ + "search_request = {\n", + " # Filter collection\n", + " \"collections\": [\"noaa-emergency-response\"],\n", + " # limit bounds of the known items (note: the bbox will also be used in the tilejson response)\n", + " \"bbox\": bounds,\n", + " \"filter-lang\": \"cql-json\",\n", + "}\n", + "\n", + "response = httpx.post(\n", + " f\"{endpoint}/mosaic/register\", json=search_request,\n", + ").json()\n", + "print(response)\n", + "\n", + "searchid = response[\"id\"]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Show list of Mosaics" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "['b2b4e952ae7a8dd69cd11d595b398945', '6d436413d0eed760acc2f6bd16ca77a5']\n" + ] + } + ], + "source": [ + "response = httpx.get(f\"{endpoint}/mosaic/list\").json()\n", + "print(\n", + " [\n", + " search[\"search\"][\"hash\"]\n", + " for search in response[\"searches\"]\n", + " ]\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Get Search Metadata" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'search': {'hash': '6d436413d0eed760acc2f6bd16ca77a5', 'search': {'bbox': [-87.0251, 36.0999, -85.4249, 36.2251], 'collections': ['noaa-emergency-response'], 'filter-lang': 'cql-json'}, '_where': \"collection = ANY ('{noaa-emergency-response}') AND st_intersects(geometry, '0103000020E610000001000000050000004BC8073D9BC155C0696FF085C90C42404BC8073D9BC155C0302AA913D01C42408104C58F315B55C0302AA913D01C42408104C58F315B55C0696FF085C90C42404BC8073D9BC155C0696FF085C90C4240')\", 'orderby': 'datetime DESC, id DESC', 'lastused': '2023-05-24T10:09:15.184690+00:00', 'usecount': 1, 'metadata': {'type': 'mosaic'}}, 'links': [{'rel': 'self', 'type': 'application/json', 'href': 'http://127.0.0.1:8081/mosaic/6d436413d0eed760acc2f6bd16ca77a5/info'}, {'rel': 'tilejson', 'type': 'application/json', 'href': 'http://127.0.0.1:8081/mosaic/6d436413d0eed760acc2f6bd16ca77a5/tilejson.json'}]}\n" + ] + } + ], + "source": [ + "info_response = httpx.get(f\"{endpoint}/mosaic/{searchid}/info\").json()\n", + "print(info_response)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Get TileJSON\n", + "\n", + "Note: to return a valid tilejson document you'll need to pass either the `assets` or `expression` option." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'tilejson': '2.2.0', 'name': '6d436413d0eed760acc2f6bd16ca77a5', 'version': '1.0.0', 'scheme': 'xyz', 'tiles': ['http://127.0.0.1:8081/mosaic/6d436413d0eed760acc2f6bd16ca77a5/tiles/WebMercatorQuad/{z}/{x}/{y}@1x?assets=cog'], 'minzoom': 0, 'maxzoom': 24, 'bounds': [-87.0251, 36.0999, -85.4249, 36.2251], 'center': [-86.225, 36.162499999999994, 0]}\n" + ] + } + ], + "source": [ + "tj_response = httpx.get(f\"{endpoint}/mosaic/{searchid}/tilejson.json?assets=cog\").json()\n", + "print(tj_response)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Load tiles" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/html": [ + "
    Make this Notebook Trusted to load map: File -> Trust Notebook
    " + ], + "text/plain": [ + "" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "m = Map(\n", + " location=((bounds[1] + bounds[3]) / 2,(bounds[0] + bounds[2]) / 2),\n", + " zoom_start=14\n", + ")\n", + "\n", + "geo_json = GeoJson(\n", + " data=geojson,\n", + " style_function=lambda x: {\n", + " 'opacity': 1, 'dashArray': '1', 'fillOpacity': 0, 'weight': 1\n", + " },\n", + ")\n", + "geo_json.add_to(m)\n", + "\n", + "aod_layer = TileLayer(\n", + " tiles=tj_response[\"tiles\"][0],\n", + " attr=\"Mosaic\",\n", + " min_zoom=14,\n", + " max_zoom=18,\n", + " max_native_zoom=18,\n", + ")\n", + "aod_layer.add_to(m)\n", + "m" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Register a Mosaic with Metadata" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'searchid': '4b0db3dbd1858d54a3a55f84de97d1ca', 'links': [{'rel': 'metadata', 'type': 'application/json', 'href': 'http://127.0.0.1:8081/mosaic/4b0db3dbd1858d54a3a55f84de97d1ca/info'}, {'rel': 'tilejson', 'type': 'application/json', 'href': 'http://127.0.0.1:8081/mosaic/4b0db3dbd1858d54a3a55f84de97d1ca/tilejson.json'}]}\n" + ] + } + ], + "source": [ + "search_request = {\n", + " # Filter collection\n", + " \"collections\": [\"noaa-emergency-response\"],\n", + " # limit bounds of the known items (note: the bbox will also be used in the tilejson response)\n", + " \"bbox\": bounds,\n", + " \"filter-lang\": \"cql-json\",\n", + " \"metadata\": {\n", + " \"bounds\": [-87.0251, 36.0999, -85.4249, 36.2251], # This is redondant because it's in the bbox filter\n", + " \"minzoom\": 14,\n", + " \"maxzoom\": 18,\n", + " \"assets\": [\"cog\"],\n", + " \"defaults\": {\n", + " \"true_color\": {\n", + " \"bidx\": [1, 2, 3],\n", + " },\n", + " },\n", + " },\n", + "}\n", + "\n", + "response = httpx.post(\n", + " f\"{endpoint}/mosaic/register\", json=search_request,\n", + ").json()\n", + "print(response)\n", + "\n", + "searchid = response[\"id\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'tilejson': '2.2.0', 'name': '4b0db3dbd1858d54a3a55f84de97d1ca', 'version': '1.0.0', 'scheme': 'xyz', 'tiles': ['http://127.0.0.1:8081/mosaic/4b0db3dbd1858d54a3a55f84de97d1ca/tiles/WebMercatorQuad/{z}/{x}/{y}@1x?assets=cog'], 'minzoom': 14, 'maxzoom': 18, 'bounds': [-87.0251, 36.0999, -85.4249, 36.2251], 'center': [-86.225, 36.162499999999994, 14]}\n" + ] + } + ], + "source": [ + "tj_response = httpx.get(f\"{endpoint}/mosaic/{searchid}/tilejson.json?assets=cog\").json()\n", + "print(tj_response)" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
    Make this Notebook Trusted to load map: File -> Trust Notebook
    " + ], + "text/plain": [ + "" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "m = Map(\n", + " location=((bounds[1] + bounds[3]) / 2,(bounds[0] + bounds[2]) / 2),\n", + " zoom_start=14\n", + ")\n", + "\n", + "geo_json = GeoJson(\n", + " data=geojson,\n", + " style_function=lambda x: {\n", + " 'opacity': 1, 'dashArray': '1', 'fillOpacity': 0, 'weight': 1\n", + " },\n", + ")\n", + "geo_json.add_to(m)\n", + "\n", + "aod_layer = TileLayer(\n", + " tiles=tj_response[\"tiles\"][0],\n", + " attr=\"Mosaic\",\n", + " min_zoom=tj_response[\"minzoom\"],\n", + " max_zoom=tj_response[\"maxzoom\"],\n", + " max_native_zoom=tj_response[\"maxzoom\"], \n", + ")\n", + "aod_layer.add_to(m)\n", + "m" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.13" + }, + "vscode": { + "interpreter": { + "hash": "2590a9e34ee6c8bdce5141410f2a072bbabd2a859a8a48acdaa85720923a90ef" + } + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/1.0.0/notebooks/demo/index.html b/1.0.0/notebooks/demo/index.html new file mode 100644 index 00000000..97b0c1be --- /dev/null +++ b/1.0.0/notebooks/demo/index.html @@ -0,0 +1,3365 @@ + + + + + + + + + + + + + + + + + + + + demo - TiTiler.PgSTAC + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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    + + + + + + + + + + \ No newline at end of file diff --git a/1.0.0/overrides/stylesheets/extra.css b/1.0.0/overrides/stylesheets/extra.css new file mode 100644 index 00000000..594ac072 --- /dev/null +++ b/1.0.0/overrides/stylesheets/extra.css @@ -0,0 +1,5 @@ +:root { + --md-primary-fg-color: rgb(61, 121, 153); + --md-primary-fg-color--light: rgb(61, 121, 153); + --md-primary-fg-color--dark: rgb(61, 121, 153); + } diff --git a/1.0.0/release-notes/index.html b/1.0.0/release-notes/index.html new file mode 100644 index 00000000..a5b54333 --- /dev/null +++ b/1.0.0/release-notes/index.html @@ -0,0 +1,2057 @@ + + + + + + + + + + + + + + + + + + + + Release notes - TiTiler.PgSTAC + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + +
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    + +
    + + + + + + +
    +
    + + + +
    +
    +
    + + + + +
    +
    +
    + + + +
    +
    +
    + + + +
    +
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    + + + +
    +
    + + + + + + + + + +

    Release Notes

    +

    1.0.0 (2023-12-12)

    +
      +
    • no change since 1.0.0a4
      • +
    +

    1.0.0a4 (2023-11-10)

    +
      +
    • add algorithm options for /statistics [POST] endpoints (back-ported from 0.8.1)
      • +
    +

    1.0.0a3 (2023-11-03)

    +
      +
    • remove reverse option in PGSTACBackend mosaic backend. Reverse item order should be achieved with STAC search sortby.
      • +
    +

    1.0.0a2 (2023-11-02)

    +
      +
    • update titiler's dependency to >=0.15.2,<0.16
      • +
    • rename dependencies.TileParams to dependencies.TmsTileParams
      • +
    +

    1.0.0a1 (2023-10-20)

    +
      +
    • rename dependencies.ItemPathParams to ItemIdParams breaking change
      • +
    +

    1.0.0a0 (2023-10-20)

    +
      +
    • +

      add pgstac_dependency attribute in MosaicTilerFactory (defaults to dependencies.PgSTACParams)

      +
      • +
    • +

      add database's pool check in startup event

      +
      • +
    • +

      add metadata layers links in mosaic's /info response for TileJSON, map and wmts endpoint links

      +
      • +
    • +

      add CollectionIdParams dependency to retrieve a SearchId for a CollectionId

      +
      • +
    • +

      add /collections/{collection_id} virtual mosaic endpoints

      +
      • +
    • +

      update endpoints Tags (STAC Search, STAC Collection, STAC Item)

      +
      • +
    +

    Endpoint breaking changes

    +
      +
    • +

      move PgSTAC Search Virtual Mosaic's endpoints from /mosaic to /searches

      +
      • +
    • +

      in model.RegisterResponse (model used in /register endpoint) rename searchid by id

      +
      # before
+resp = httpx.post("/mosaic/register", body={"collections": ["my-collection"], "filter-lang": "cql-json"})
+assert resp.json()["searchid"]
+
+# now
+resp = httpx.post("/searches/register", body={"collections": ["my-collection"], "filter-lang": "cql-json"})
+assert resp.json()["id"]
+
      +
      • +
    +

    API breaking changes

    +
      +
    • +

      rename dependencies.PathParams to dependencies.SearchIdParams

      +
      • +
    • +

      rename searchid path parameter to search_id in SearchIdParams

      +
      • +
    • +

      move check_query_params methods outside MosaicTilerFactory class

      +
      • +
    • +

      make path_dependency a required input to MosaicTilerFactory class

      +
      # before
+app = FastAPI()
+mosaic = MosaicTilerFactory(...)
+app.include_router(mosaic.router)
+
+# now
+app = FastAPI()
+mosaic = MosaicTilerFactory(
+    ...,
+    path_dependency=lambda: "aaaaaaaaaaaaaa"
+)
+app.include_router(mosaic.router)
+
      +
      • +
    • +

      remove /{search_id} prefix in MosaicTilerFactory routes. Now use parameter injection from global prefix

      +
      # Before
+app = FastAPI()
+mosaic = MosaicTilerFactory(
+    ...,
+    router_prefix="/mosaics"
+)
+app.include_router(mosaic.router, prefix="/mosaics")
+
+# Now
+app = FastAPI()
+mosaic = MosaicTilerFactory(
+    ...
+    router_prefix="/mosaics/{search_id}"
+)
+app.include_router(mosaic.router, prefix="/mosaics/{search_id}")
+
      +
      • +
    • +

      move /info endpoint outside the MosaicTilerFactory to its own extension (titiler.pgstac.extension.searchInfoExtension)

      +
      # Before
+app = FastAPI()
+mosaic = MosaicTilerFactory(...)
+app.include_router(mosaic.router)
+
+# Now
+app = FastAPI()
+mosaic = MosaicTilerFactory(
+    ...
+    extensions=[
+        searchInfoExtension(),
+    ]
+)
+app.include_router(mosaic.router)
+
      +
      • +
    • +

      move /register and /list endpoint creation outside the MosaicTilerFactory class

      +
      # before
+from titiler.pgstac.factory import MosaicTilerFactory
+
+mosaic = MosaicTilerFactory(
+    ...,
+    router_prefix="/{search_id}",
+)
+app.include_router(mosaic.router, prefix="/{search_id}")
+
+# Now
+from titiler.pgstac.factory import (
+    MosaicTilerFactory,
+    add_search_register_route,
+    add_mosaic_register_route,
+)
+
+mosaic = MosaicTilerFactory(
+    ...,
+    router_prefix="/{search_id}",
+)
+app.include_router(mosaic.router, prefix="/{search_id}")
+
+# add /register endpoint
+add_search_register_route(
+    app,
+    # any dependency we want to validate
+    # when creating the tilejson/map links
+    tile_dependencies=[
+        mosaic.layer_dependency,
+        mosaic.dataset_dependency,
+        mosaic.pixel_selection_dependency,
+        mosaic.process_dependency,
+        mosaic.rescale_dependency,
+        mosaic.colormap_dependency,
+        mosaic.render_dependency,
+        mosaic.pgstac_dependency,
+        mosaic.reader_dependency,
+        mosaic.backend_dependency,
+    ],
+)
+# add /list endpoint
+add_search_list_route(app)
+
      +
      • +
    +

    0.8.1 (2023-11-10)

    +
      +
    • add algorithm options for /statistics [POST] endpoints
      • +
    +

    0.8.0 (2023-10-06)

    +
      +
    • update titiler requirement to >=0.15.0,<0.16
      • +
    • remove max_size default for mosaic's /statistics [POST] endpoint breaking change
      • +
    • add /bbox and /feature [POST] optional endpoints
      • +
    • add img_part_dependency attribute in MosaicTilerFactory (defaults to titiler.code.dependencies.PartFeatureParams)
      • +
    +

    0.7.0 (2023-09-28)

    +
      +
    • update requirements to switch to pydantic~=2.0
      • +
    • pydantic>=2.4,<3.0
      • +
    • pydantic-settings~=2.0
      • +
    • geojson-pydantic~=1.0
      • +
    • +

      cogeo-mosaic>=7.0,<8.0

      +
      • +
    • +

      update titiler requirement to >=0.14.0,<0.15

      +
        +
      • +

        replace - by _ in query parameters

        +
          +
        • coord-crs -> coord_crs
          • +
        • dst-crs -> dst_crs
          • +
        +
        • +
      +
      • +
    +

    0.6.0 (2023-09-18)

    +
      +
    • add tilejson URL links for layers defined in mosaic's metadata in /mosaic/register and /mosaic/{mosaic_id}/info response
      • +
    • support multiple layers in /mosaic/{mosaic_id}/WMTSCapabilities.xml endpoint created from mosaic's metadata
      • +
    +

    breaking change

    +
      +
    • +

      In /mosaic/WMTSCapabilities.xml we removed the query-parameters related to the tile endpoint (which are forwarded) so ?assets= is no more required. +The endpoint will still raise an error if there are no layers in the mosaic metadata and no required tile's parameters are passed.

      +
      # before
+response = httpx.get("/mosaic/{mosaic_id}/WMTSCapabilities.xml")
+assert response.status_code == 400
+
+response = httpx.get("/mosaic/{mosaic_id}/WMTSCapabilities.xml?assets=cog")
+assert response.status_code == 200
+
+# now
+# If the mosaic has `defaults` layers set in the metadata
+# we will construct a WMTS document with multiple layers, so no need for the user to pass any `assets=`
+response = httpx.get("/mosaic/{mosaic_id}/WMTSCapabilities.xml")
+assert response.status_code == 200
+with rasterio.open(io.BytesIO(response.content)) as src:
+    assert src.profile["driver"] == "WMTS"
+    assert len(src.subdatasets) == 2
+
+# If the user pass any valid `tile` parameters, an additional layer will be added to the one from the metadata
+response = httpx.get("/mosaic/{mosaic_id}/WMTSCapabilities.xml?assets=cog")
+assert response.status_code == 200
+with rasterio.open(io.BytesIO(response.content)) as src:
+    assert src.profile["driver"] == "WMTS"
+    assert len(src.subdatasets) == 3
+
      +
      • +
    +

    0.5.1 (2023-08-03)

    +
      +
    • add python-dotenv requirement
      • +
    +

    0.5.0 (2023-07-20)

    +
      +
    • update titiler requirement to >=0.12.0,<0.13
      • +
    • use Annotated Type for Query/Path parameters
      • +
    • re-order endpoints in MosaicTilerFactory to avoid conflicts between tiles and assets endpoints
      • +
    • remove stac-pydantic dependency
      • +
    • add optional root_path setting to specify a url path prefix to use when running the app behind a reverse proxy
      • +
    • add landing page /
      • +
    • use lifespan option instead of deprecated @app.on_event method to initiate/close DB connection
      • +
    +

    breaking changes

    +
      +
    • remove deprecated /{searchid}/{z}/{x}/{y}/assets endpoints
      • +
    • use /api and /api.html for documentation (instead of /openapi.json and /docs)
      • +
    • replace Enum's with Literal types
      • +
    • replace variable TileMatrixSetId by tileMatrixSetId
      • +
    • add pixel_selection_dependency attribute to the MosaicTilerFactory
      • +
    +

    0.4.1 (2023-06-21)

    +
      +
    • update titiler requirement to >=0.11.7
      • +
    • fix /map endpoint template name
      • +
    • rename add_map_viewer to add_viewer option in MosaicTilerFactory for consistency with titiler's options
      • +
    +

    0.4.0 (2023-05-22)

    +
      +
    • remove deprecated /tiles/{searchid}/... endpoints (replaced with /{searchid}/tiles/...)
      • +
    • depreciate /{searchid}/{z}/{x}/{y}/assets endpoints and add /{searchid}/tiles/{z}/{x}/{y}/assets
      • +
    • update minimum titiler requirement to >=0.11.6
      • +
    • remove timing headers
      • +
    • add strict_zoom option (controled with MOSAIC_STRICT_ZOOM environment variable) to raise (or not) error when fetching tile outside mosaic min/max zoom range
      • +
    +

    0.3.3 (2023-04-27)

    +
      +
    • update python packaging/build system to pdm-pep517
      • +
    • use Ruff for lint
      • +
    • add retry mechanism on Database connection issues for PGSTACBackend.get_assets() and get_stac_item methods (back ported from 0.2.4)
      • +
    +

    0.3.2 (2023-03-14)

    +
      +
    • update titiler requirement to 0.10.2
      • +
    • fix maximum version of FastAPI to 0.92 (to avoid breaking change of starlette >0.25)
      • +
    +

    0.3.1 (2022-12-16)

    +
      +
    • update Type information for dependencies.get_stac_item (back ported from 0.2.2)
      • +
    +

    0.3.0 (2022-12-16)

    +

    breaking changes

    +
      +
    • +

      Use /collections/{collection_id}/items/{item_id} prefix for Item endpoint. + 

      # Before
+{endpoint}/stac/info?collection=collection1&item=item1
+
+# Now
+{endpoint}/collections/collection1/items/item1/info
+

      +
      • +
    • +

      Change tile url path parameter order from /tiles/{searchid}/{TileMatrixSetId}/{z}/{x}/{y} to /{searchid}/tiles/{TileMatrixSetId}/{z}/{x}/{y} + 

      # Before
+{endpoint}/mosaic/tiles/20200307aC0853900w361030/0/0/0
+
+# Now
+{endpoint}/mosaic/20200307aC0853900w361030/tiles/0/0/0
+

      +
      • +
    +

    0.2.4 (2023-04-27)

    +
      +
    • add retry mechanism on Database connection issues for PGSTACBackend.get_assets() and get_stac_item methods
      • +
    +

    0.2.3 (2023-03-14)

    +
      +
    • fix maximum version of FastAPI to 0.92 (to avoid breaking change of starlette >0.25)
      • +
    +

    0.2.2 (2022-12-16)

    +
      +
    • update Type information for dependencies.get_stac_item
      • +
    +

    0.2.1 (2022-12-15)

    +
      +
    • update titiler requirement to >=0.10.1,<0.11 and fix /map endpoint (to accept multiple TMS)
      • +
    +

    0.2.0 (2022-12-13)

    +
      +
    • add python 3.10 and 3.11 support
      • +
    • update to rio-tiler 4.1
      • +
    • add /{searchid}/map endpoint to the MosaicTilerFactory (added when add_map_viewer is set to True)
      • +
    • add /{searchid}/WMTSCapabilities.xml OGC WMTS endpoint to the MosaicTilerFactory
      • +
    • add /list to the MosaicTilerFactory to list available mosaics (added when add_mosaic_list is set to True)
      • +
    +

    breaking changes

    +
      +
    • remove python 3.7 support
      • +
    • update titiler requirement to >=0.10.0
      • +
    • replace connection_string by database_url in settings.PostgresSettings. We can now directly set DATABASE_URL environment variable.
      • +
    +

    Frontend changes

    + +

    0.1.0 (2022-06-27)

    +
      +
    • update titiler.core and titiler.mosaic requirement to 0.7
      • +
    • add MosaicTilerFactory._tilejson_routes method to register TileJSON routes
      • +
    • raise cogeo_mosaic.errors.MosaicNotFoundError when SearchId is not found in pgstac.searches table
      • +
    +

    breaking changes

    +
      +
    • move version definition in titiler.pgstac.__version__
      • +
    • remove unused fetch_options in titiler.pgstac.reader.PgSTACReader
      • +
    +

    0.1.0a10 (2022-05-16) Pre-Release

    +
      +
    • update titiler version and add reader_dependency and backend_dependency in endpoint factory.
      • +
    +

    0.1.0.a9 (2022-05-05) Pre-Release

    +
      +
    • remove LRU cache on all settings classes to enable support for manually providing settings via keyword arguments and to minimize lines of code (author @alukach, stac-utils/titiler-pgstac!54)
      • +
    +

    0.1.0.a8 (2022-05-02) Pre-Release

    +
      +
    • Insert mosaic metadata min/max zoom and bounds in tilejson (stac-utils/titiler-pgstac!51)
      • +
    • allow users the ability to optionally provide PostgresSettings to connect_to_db() function in the event that they want to customize how their DB credentials are populated (author @alukach, stac-utils/titiler-pgstac!53)
      • +
    +

    0.1.0.a7 (2022-04-05) Pre-Release

    +
      +
    • add feature() method to PGSTACBackend mosaic backend
      • +
    • add /statistics endpoint to return statistics given a GeoJSON feature or featureCollection
      • +
    • add collection in allowed returned fields
      • +
    • switch to pgstac.search to get the STAC Item in titiler.pgstac.dependencies.get_stac_item (stac-utils/titiler-pgstac!50)
      • +
    +

    0.1.0.a6 (2022-03-14) Pre-Release

    +
      +
    • move dependencies to titiler.pgstac.dependencies
      • +
    • add /stac endpoints to work with PgSTAC items
      • +
    +

    breaking changes

    +
      +
    • add /mosaic prefix to the PgSTAC mosaic endpoints
      • +
    +

    0.1.0.a5 (2022-03-03) Pre-Release

    + +

    breaking changes

    +
      +
    • update titiler.core and titiler.mosaic requirement to >=0.5
      • +
    • When registering a search to PgSTAC with the /register endpoint, a default metadata {"type": "mosaic"} will be set.
      • +
    • Renamed titiler.pgstac.models to titiler.pgstac.model
      • +
    • Renamed titiler.pgstac.models.SearchQuery to titiler.pgstac.model.PgSTACSearch (and removed metadata)
      • +
    • +

      output response for /register endpoint: +

      // before
+{
+    "searchid": "...",
+    "metadata": "http://endpoint/.../info",
+    "tiles": "http://endpoint/.../tilejson.json",
+}
+
+// now
+{
+    "searchid": "...",
+    "links": [
+        {
+            "rel": "info",
+            "href": "http://endpoint/.../info",
+            "type": "application/json",
+        },
+        {
+            "rel": "tilejson",
+            "href": "http://endpoint/.../tilejson.json",
+            "type": "application/json",
+        }
+    ]
+}
+

      +
      • +
    • +

      output response for /info endpoint: +

      // before
+{
+    "hash": "...",
+    "search": {},
+    "_where": "...",
+    ...
+}
+
+// now
+{
+    "search": {
+        "hash": "...",
+        "search": {},
+        "_where": "...",
+        ...
+    },
+    "links": [
+        {
+            "rel": "self",
+            "href": "http://endpoint/.../info",
+            "type": "application/json",
+        },
+        {
+            "rel": "tilejson",
+            "href": "http://endpoint/.../tilejson.json",
+            "type": "application/json",
+        }
+    ]
+}
+

      +
      • +
    +

    0.1.0.a4 (2022-02-07) Pre-Release

    + +

    0.1.0.a3 (2021-12-15) Pre-Release

    + +

    0.1.0.a2 (2021-12-13) Pre-Release

    +
      +
    • Switch to psycopg3
      • +
    • add filter-lang in Search model to support newer PgSTAC (with CQL-2)
      • +
    • add metadata in Search model to allow forwarding metadata to the search query entry in PgSTAC
      • +
    +

    breaking changes

    +
      +
    • Unify reader/writer db pools to request.app.state.dbpool
      • +
    • rename PostgresSettings.db_max_inactive_conn_lifetime to PostgresSettings.max_idle
      • +
    • remove PostgresSettings().reader_connection_string and PostgresSettings().writer_connection_string. Replaced with PostgresSettings().connection_string
      • +
    • update titiler requirement (>= 0.4)
      • +
    +

    0.1.0.a1 (2021-09-15) Pre-Release

    +
      +
    • Surface PgSTAC options (scan_limit, items_limit, time_limit, exitwhenfull and skipcovered) in Tile endpoints
      • +
    +

    breaking changes

    + +

    0.1.0.a0 (2021-09-06) Pre-Release

    +

    Initial release

    + + + + + + +
    +
    + + +
    + +
    + + + +
    +
    +
    +
    + + + + + + + + + + \ No newline at end of file diff --git a/1.0.0/release-notes/release-notes.md b/1.0.0/release-notes/release-notes.md new file mode 100644 index 00000000..58fd7380 --- /dev/null +++ b/1.0.0/release-notes/release-notes.md @@ -0,0 +1,482 @@ +# Release Notes + +## 1.0.0 (2023-12-12) + +* no change since `1.0.0a4` + +## 1.0.0a4 (2023-11-10) + +* add `algorithm` options for `/statistics [POST]` endpoints (back-ported from 0.8.1) + +## 1.0.0a3 (2023-11-03) + +* remove `reverse` option in `PGSTACBackend` mosaic backend. Reverse item order should be achieved with STAC search sortby. + +## 1.0.0a2 (2023-11-02) + +* update titiler's dependency to `>=0.15.2,<0.16` +* rename `dependencies.TileParams` to `dependencies.TmsTileParams` + +## 1.0.0a1 (2023-10-20) + +* rename `dependencies.ItemPathParams` to `ItemIdParams` **breaking change** + +## 1.0.0a0 (2023-10-20) + +* add `pgstac_dependency` attribute in `MosaicTilerFactory` (defaults to `dependencies.PgSTACParams`) + +* add database's `pool` check in startup event + +* add *metadata layers* links in mosaic's `/info` response for TileJSON, map and wmts endpoint links + +* add `CollectionIdParams` dependency to retrieve a SearchId for a CollectionId + +* add `/collections/{collection_id}` virtual mosaic endpoints + +* update endpoints Tags (`STAC Search`, `STAC Collection`, `STAC Item`) + +### Endpoint breaking changes + +* move PgSTAC Search Virtual Mosaic's endpoints from `/mosaic` to `/searches` + +* in `model.RegisterResponse` (model used in `/register` endpoint) rename `searchid` by `id` + + ```python + # before + resp = httpx.post("/mosaic/register", body={"collections": ["my-collection"], "filter-lang": "cql-json"}) + assert resp.json()["searchid"] + + # now + resp = httpx.post("/searches/register", body={"collections": ["my-collection"], "filter-lang": "cql-json"}) + assert resp.json()["id"] + ``` + +### API breaking changes + +* rename `dependencies.PathParams` to `dependencies.SearchIdParams` + +* rename `searchid` path parameter to `search_id` in `SearchIdParams` + +* move `check_query_params` methods outside `MosaicTilerFactory` class + +* make `path_dependency` a required input to `MosaicTilerFactory` class + + ```python + # before + app = FastAPI() + mosaic = MosaicTilerFactory(...) + app.include_router(mosaic.router) + + # now + app = FastAPI() + mosaic = MosaicTilerFactory( + ..., + path_dependency=lambda: "aaaaaaaaaaaaaa" + ) + app.include_router(mosaic.router) + ``` + + +* remove `/{search_id}` prefix in `MosaicTilerFactory` routes. Now use parameter injection from global prefix + + ```python + # Before + app = FastAPI() + mosaic = MosaicTilerFactory( + ..., + router_prefix="/mosaics" + ) + app.include_router(mosaic.router, prefix="/mosaics") + + # Now + app = FastAPI() + mosaic = MosaicTilerFactory( + ... + router_prefix="/mosaics/{search_id}" + ) + app.include_router(mosaic.router, prefix="/mosaics/{search_id}") + ``` + +* move `/info` endpoint outside the `MosaicTilerFactory` to its own *extension* (`titiler.pgstac.extension.searchInfoExtension`) + + ```python + # Before + app = FastAPI() + mosaic = MosaicTilerFactory(...) + app.include_router(mosaic.router) + + # Now + app = FastAPI() + mosaic = MosaicTilerFactory( + ... + extensions=[ + searchInfoExtension(), + ] + ) + app.include_router(mosaic.router) + ``` + +* move `/register` and `/list` endpoint creation outside the `MosaicTilerFactory` class + + ```python + # before + from titiler.pgstac.factory import MosaicTilerFactory + + mosaic = MosaicTilerFactory( + ..., + router_prefix="/{search_id}", + ) + app.include_router(mosaic.router, prefix="/{search_id}") + + # Now + from titiler.pgstac.factory import ( + MosaicTilerFactory, + add_search_register_route, + add_mosaic_register_route, + ) + + mosaic = MosaicTilerFactory( + ..., + router_prefix="/{search_id}", + ) + app.include_router(mosaic.router, prefix="/{search_id}") + + # add /register endpoint + add_search_register_route( + app, + # any dependency we want to validate + # when creating the tilejson/map links + tile_dependencies=[ + mosaic.layer_dependency, + mosaic.dataset_dependency, + mosaic.pixel_selection_dependency, + mosaic.process_dependency, + mosaic.rescale_dependency, + mosaic.colormap_dependency, + mosaic.render_dependency, + mosaic.pgstac_dependency, + mosaic.reader_dependency, + mosaic.backend_dependency, + ], + ) + # add /list endpoint + add_search_list_route(app) + ``` + +## 0.8.1 (2023-11-10) + +* add `algorithm` options for `/statistics [POST]` endpoints + +## 0.8.0 (2023-10-06) + +* update titiler requirement to `>=0.15.0,<0.16` +* remove `max_size` default for mosaic's `/statistics [POST]` endpoint **breaking change** +* add `/bbox` and `/feature [POST]` optional endpoints +* add `img_part_dependency` attribute in `MosaicTilerFactory` (defaults to `titiler.code.dependencies.PartFeatureParams`) + +## 0.7.0 (2023-09-28) + +* update requirements to switch to pydantic~=2.0 + - pydantic>=2.4,<3.0 + - pydantic-settings~=2.0 + - geojson-pydantic~=1.0 + - cogeo-mosaic>=7.0,<8.0 + +* update titiler requirement to `>=0.14.0,<0.15` + + - replace `-` by `_` in query parameters + + * coord-crs -> coord_crs + * dst-crs -> dst_crs + +## 0.6.0 (2023-09-18) + +* add `tilejson` URL links for `layers` defined in mosaic's metadata in `/mosaic/register` and `/mosaic/{mosaic_id}/info` response +* support multiple `layers` in `/mosaic/{mosaic_id}/WMTSCapabilities.xml` endpoint created from mosaic's metadata + +**breaking change** + +* In `/mosaic/WMTSCapabilities.xml` we removed the query-parameters related to the `tile` endpoint (which are forwarded) so `?assets=` is no more required. +The endpoint will still raise an error if there are no `layers` in the mosaic metadata and no required tile's parameters are passed. + + ```python + # before + response = httpx.get("/mosaic/{mosaic_id}/WMTSCapabilities.xml") + assert response.status_code == 400 + + response = httpx.get("/mosaic/{mosaic_id}/WMTSCapabilities.xml?assets=cog") + assert response.status_code == 200 + + # now + # If the mosaic has `defaults` layers set in the metadata + # we will construct a WMTS document with multiple layers, so no need for the user to pass any `assets=` + response = httpx.get("/mosaic/{mosaic_id}/WMTSCapabilities.xml") + assert response.status_code == 200 + with rasterio.open(io.BytesIO(response.content)) as src: + assert src.profile["driver"] == "WMTS" + assert len(src.subdatasets) == 2 + + # If the user pass any valid `tile` parameters, an additional layer will be added to the one from the metadata + response = httpx.get("/mosaic/{mosaic_id}/WMTSCapabilities.xml?assets=cog") + assert response.status_code == 200 + with rasterio.open(io.BytesIO(response.content)) as src: + assert src.profile["driver"] == "WMTS" + assert len(src.subdatasets) == 3 + ``` + +## 0.5.1 (2023-08-03) + +* add `python-dotenv` requirement + +## 0.5.0 (2023-07-20) + +* update `titiler` requirement to `>=0.12.0,<0.13` +* use `Annotated` Type for Query/Path parameters +* re-order endpoints in `MosaicTilerFactory` to avoid conflicts between `tiles` and `assets` endpoints +* remove `stac-pydantic` dependency +* add optional `root_path` setting to specify a url path prefix to use when running the app behind a reverse proxy +* add landing page `/` +* use `lifespan` option instead of deprecated `@app.on_event` method to initiate/close DB connection + +**breaking changes** + +* remove deprecated `/{searchid}/{z}/{x}/{y}/assets` endpoints +* use /api and /api.html for documentation (instead of /openapi.json and /docs) +* replace Enum's with `Literal` types +* replace variable `TileMatrixSetId` by `tileMatrixSetId` +* add `pixel_selection_dependency` attribute to the `MosaicTilerFactory` + +## 0.4.1 (2023-06-21) + +* update `titiler` requirement to `>=0.11.7` +* fix `/map` endpoint template name +* rename `add_map_viewer` to `add_viewer` option in `MosaicTilerFactory` for consistency with `titiler's` options + +## 0.4.0 (2023-05-22) + +* remove deprecated `/tiles/{searchid}/...` endpoints (replaced with `/{searchid}/tiles/...`) +* depreciate `/{searchid}/{z}/{x}/{y}/assets` endpoints and add `/{searchid}/tiles/{z}/{x}/{y}/assets` +* update minimum titiler requirement to `>=0.11.6` +* remove timing headers +* add `strict_zoom` option (controled with `MOSAIC_STRICT_ZOOM` environment variable) to raise (or not) error when fetching tile outside mosaic min/max zoom range + +## 0.3.3 (2023-04-27) + +* update python packaging/build system to `pdm-pep517` +* use `Ruff` for lint +* add retry mechanism on Database connection issues for `PGSTACBackend.get_assets()` and `get_stac_item` methods (back ported from 0.2.4) + +## 0.3.2 (2023-03-14) + +* update titiler requirement to `0.10.2` +* fix maximum version of FastAPI to 0.92 (to avoid breaking change of starlette >0.25) + +## 0.3.1 (2022-12-16) + +* update Type information for `dependencies.get_stac_item` (back ported from 0.2.2) + +## 0.3.0 (2022-12-16) + +**breaking changes** + +* Use `/collections/{collection_id}/items/{item_id}` prefix for **Item** endpoint. + ``` + # Before + {endpoint}/stac/info?collection=collection1&item=item1 + + # Now + {endpoint}/collections/collection1/items/item1/info + ``` + +* Change tile url path parameter order from `/tiles/{searchid}/{TileMatrixSetId}/{z}/{x}/{y}` to `/{searchid}/tiles/{TileMatrixSetId}/{z}/{x}/{y}` + ``` + # Before + {endpoint}/mosaic/tiles/20200307aC0853900w361030/0/0/0 + + # Now + {endpoint}/mosaic/20200307aC0853900w361030/tiles/0/0/0 + ``` +## 0.2.4 (2023-04-27) + +* add retry mechanism on Database connection issues for `PGSTACBackend.get_assets()` and `get_stac_item` methods + +## 0.2.3 (2023-03-14) + +* fix maximum version of FastAPI to 0.92 (to avoid breaking change of starlette >0.25) + +## 0.2.2 (2022-12-16) + +* update Type information for `dependencies.get_stac_item` + +## 0.2.1 (2022-12-15) + +* update titiler requirement to `>=0.10.1,<0.11` and fix `/map` endpoint (to accept multiple TMS) + +## 0.2.0 (2022-12-13) + +* add python 3.10 and 3.11 support +* update to rio-tiler 4.1 +* add `/{searchid}/map` endpoint to the `MosaicTilerFactory` (added when `add_map_viewer` is set to `True`) +* add `/{searchid}/WMTSCapabilities.xml` OGC WMTS endpoint to the `MosaicTilerFactory` +* add `/list` to the `MosaicTilerFactory` to list available mosaics (added when `add_mosaic_list` is set to `True`) + +**breaking changes** + +* remove python 3.7 support +* update titiler requirement to `>=0.10.0` +* replace `connection_string` by `database_url` in `settings.PostgresSettings`. We can now directly set `DATABASE_URL` environment variable. + +#### Frontend changes + +- remove `asset_expression` (Mosaic and Item) +- histogram band names are prefixed with `b` (e.g `b1`) (Mosaic and Item) (ref: https://github.com/cogeotiff/rio-tiler/blob/main/docs/src/v4_migration.md#band-names) +- expression for STAC have to be in form of `{asset}_b{band_name}` (e.g `red_b1/green_b1`) (Mosaic and Item) (ref: https://github.com/cogeotiff/rio-tiler/blob/main/docs/src/v4_migration.md#multibasereader-expressions) +- added `asset_as_band` option to force expression to be in form of `{asset}` (e.g `red/green`) (Mosaic and Item) +- expression's band should now be delimited with `;` (previously `,` was accepted) (Mosaic and Item) +- point output model to include band_names (Item) +- added `algorithm` options + +## 0.1.0 (2022-06-27) + +* update `titiler.core` and `titiler.mosaic` requirement to `0.7` +* add `MosaicTilerFactory._tilejson_routes` method to register `TileJSON` routes +* raise `cogeo_mosaic.errors.MosaicNotFoundError` when SearchId is not found in *pgstac.searches* table + +**breaking changes** + +* move version definition in `titiler.pgstac.__version__` +* remove unused `fetch_options` in `titiler.pgstac.reader.PgSTACReader` + +## 0.1.0a10 (2022-05-16) Pre-Release + +* update `titiler` version and add `reader_dependency` and `backend_dependency` in endpoint factory. + +## 0.1.0.a9 (2022-05-05) Pre-Release + +* remove LRU cache on all settings classes to enable support for manually providing settings via keyword arguments and to minimize lines of code (author @alukach, https://github.com/stac-utils/titiler-pgstac/pull/54) + +## 0.1.0.a8 (2022-05-02) Pre-Release + +* Insert mosaic metadata `min/max zoom` and `bounds` in tilejson (https://github.com/stac-utils/titiler-pgstac/pull/51) +* allow users the ability to optionally provide `PostgresSettings` to `connect_to_db()` function in the event that they want to customize how their DB credentials are populated (author @alukach, https://github.com/stac-utils/titiler-pgstac/pull/53) + +## 0.1.0.a7 (2022-04-05) Pre-Release + +* add `feature()` method to `PGSTACBackend` mosaic backend +* add `/statistics` endpoint to return statistics given a GeoJSON feature or featureCollection +* add `collection` in allowed returned fields +* switch to `pgstac.search` to get the STAC Item in `titiler.pgstac.dependencies.get_stac_item` (https://github.com/stac-utils/titiler-pgstac/pull/50) + +## 0.1.0.a6 (2022-03-14) Pre-Release + +* move dependencies to `titiler.pgstac.dependencies` +* add `/stac` endpoints to work with PgSTAC items + +**breaking changes** + +* add `/mosaic` prefix to the PgSTAC mosaic endpoints + +## 0.1.0.a5 (2022-03-03) Pre-Release + +* Add `search_dependency` to allow customization of the PgSTAC Search query (Author @drnextgis, https://github.com/stac-utils/titiler-pgstac/pull/41) +* Add PgSTAC Search entries model (https://github.com/stac-utils/titiler-pgstac/pull/43) +* Add `Metadata` specification (https://github.com/stac-utils/titiler-pgstac/pull/38) + +**breaking changes** + +* update `titiler.core` and `titiler.mosaic` requirement to `>=0.5` +* When registering a `search` to PgSTAC with the `/register` endpoint, a default metadata `{"type": "mosaic"}` will be set. +* Renamed `titiler.pgstac.models` to `titiler.pgstac.model` +* Renamed `titiler.pgstac.models.SearchQuery` to `titiler.pgstac.model.PgSTACSearch` (and removed `metadata`) +* output response for `/register` endpoint: +```js +// before +{ + "searchid": "...", + "metadata": "http://endpoint/.../info", + "tiles": "http://endpoint/.../tilejson.json", +} + +// now +{ + "searchid": "...", + "links": [ + { + "rel": "info", + "href": "http://endpoint/.../info", + "type": "application/json", + }, + { + "rel": "tilejson", + "href": "http://endpoint/.../tilejson.json", + "type": "application/json", + } + ] +} +``` + +* output response for `/info` endpoint: +```js +// before +{ + "hash": "...", + "search": {}, + "_where": "...", + ... +} + +// now +{ + "search": { + "hash": "...", + "search": {}, + "_where": "...", + ... + }, + "links": [ + { + "rel": "self", + "href": "http://endpoint/.../info", + "type": "application/json", + }, + { + "rel": "tilejson", + "href": "http://endpoint/.../tilejson.json", + "type": "application/json", + } + ] +} +``` + +## 0.1.0.a4 (2022-02-07) Pre-Release + +* add tile `buffer` option to match rio-tiler tile options (https://github.com/stac-utils/titiler-pgstac/pull/31) + +## 0.1.0.a3 (2021-12-15) Pre-Release + +* Forward TMS to the STAC Reader (allow multiple TMS) (https://github.com/stac-utils/titiler-pgstac/pull/28) + +## 0.1.0.a2 (2021-12-13) Pre-Release + +* Switch to **psycopg3** +* add `filter-lang` in Search model to support newer PgSTAC (with CQL-2) +* add `metadata` in Search model to allow forwarding metadata to the search query entry in PgSTAC + +**breaking changes** + +* Unify *reader/writer* db pools to `request.app.state.dbpool` +* rename `PostgresSettings.db_max_inactive_conn_lifetime` to `PostgresSettings.max_idle` +* remove `PostgresSettings().reader_connection_string` and `PostgresSettings().writer_connection_string`. Replaced with `PostgresSettings().connection_string` +* update titiler requirement (>= 0.4) + +## 0.1.0.a1 (2021-09-15) Pre-Release + +* Surface PgSTAC options (`scan_limit`, `items_limit`, `time_limit`, `exitwhenfull` and `skipcovered`) in Tile endpoints + +**breaking changes** + +* remove `psycopg2` requirements to avoid conflict with `psycopg2-binary` (https://github.com/stac-utils/titiler-pgstac/pull/15) + +## 0.1.0.a0 (2021-09-06) Pre-Release + +Initial release diff --git a/1.0.0/search/search_index.json b/1.0.0/search/search_index.json new file mode 100644 index 00000000..021d4070 --- /dev/null +++ b/1.0.0/search/search_index.json @@ -0,0 +1 @@ +{"config":{"indexing":"full","lang":["en"],"min_search_length":3,"prebuild_index":false,"separator":"[\\s\\-]+"},"docs":[{"location":"","text":"Connect PgSTAC and TiTiler. Documentation : stac-utils.github.io/titiler-pgstac/ Source Code : stac-utils/titiler-pgstac TiTiler-PgSTAC is a TiTiler extension that connects to a PgSTAC database to create dynamic mosaics based on search queries . Installation \u00b6 To install from PyPI and run: # Make sure to have pip up to date $ python -m pip install -U pip # Install `psycopg` or `psycopg[\"binary\"]` or `psycopg[\"c\"]` $ python -m pip install psycopg [ \"binary\" ] $ python -m pip install titiler.pgstac To install from sources and run for development: $ git clone https://github.com/stac-utils/titiler-pgstac.git $ cd titiler-pgstac $ python -m pip install -e . PgSTAC version \u00b6 titiler.pgstac depends on pgstac >=0.3.4 ( github.com/stac-utils/pgstac/blob/main/CHANGELOG.md#v034 ). psycopg requirement \u00b6 titiler.pgstac depends on the psycopg library. Because there are three ways of installing this package ( psycopg or , psycopg[\"c\"] , psycopg[\"binary\"] ), the user must install this separately from titiler.pgstac . psycopg : no wheel, pure python implementation. It requires the libpq installed in the system. psycopg[\"binary\"] : binary wheel distribution (shipped with libpq) of the psycopg package and is simpler for development. It requires development packages installed on the client machine. psycopg[\"c\"] : a C (faster) implementation of the libpq wrapper. It requires the libpq installed in the system. psycopg[c] or psycopg are generally recommended for production use. In titiler.pgstac setup.py, we have added three options to let users choose which psycopg install to use: pip install titiler.pgstac[\"psycopg\"] : pure python pip install titiler.pgstac[\"psycopg-c\"] : use the C wrapper (requires development packages installed on the client machine) pip install titiler.pgstac[\"psycopg-binary\"] : binary wheels Launch \u00b6 You'll need to have POSTGRES_USER , POSTGRES_PASS , POSTGRES_DBNAME , POSTGRES_HOST , POSTGRES_PORT variables set in your environment pointing to your Postgres database where pgstac has been installed. export POSTGRES_USER=username export POSTGRES_PASS=password export POSTGRES_DBNAME=postgis export POSTGRES_HOST=database export POSTGRES_PORT=5432 $ pip install uvicorn $ uvicorn titiler.pgstac.main:app --reload Using Docker \u00b6 $ git clone https://github.com/stac-utils/titiler-pgstac.git $ cd titiler-pgstac $ docker-compose up --build tiler It runs titiler.pgstac using Gunicorn web server. To run Uvicorn based version: $ docker-compose up --build tiler-uvicorn Contribution & Development \u00b6 See CONTRIBUTING.md License \u00b6 See LICENSE Authors \u00b6 See contributors for a listing of individual contributors. Changes \u00b6 See CHANGES.md .","title":"Home"},{"location":"#installation","text":"To install from PyPI and run: # Make sure to have pip up to date $ python -m pip install -U pip # Install `psycopg` or `psycopg[\"binary\"]` or `psycopg[\"c\"]` $ python -m pip install psycopg [ \"binary\" ] $ python -m pip install titiler.pgstac To install from sources and run for development: $ git clone https://github.com/stac-utils/titiler-pgstac.git $ cd titiler-pgstac $ python -m pip install -e .","title":"Installation"},{"location":"#pgstac-version","text":"titiler.pgstac depends on pgstac >=0.3.4 ( github.com/stac-utils/pgstac/blob/main/CHANGELOG.md#v034 ).","title":"PgSTAC version"},{"location":"#psycopg-requirement","text":"titiler.pgstac depends on the psycopg library. Because there are three ways of installing this package ( psycopg or , psycopg[\"c\"] , psycopg[\"binary\"] ), the user must install this separately from titiler.pgstac . psycopg : no wheel, pure python implementation. It requires the libpq installed in the system. psycopg[\"binary\"] : binary wheel distribution (shipped with libpq) of the psycopg package and is simpler for development. It requires development packages installed on the client machine. psycopg[\"c\"] : a C (faster) implementation of the libpq wrapper. It requires the libpq installed in the system. psycopg[c] or psycopg are generally recommended for production use. In titiler.pgstac setup.py, we have added three options to let users choose which psycopg install to use: pip install titiler.pgstac[\"psycopg\"] : pure python pip install titiler.pgstac[\"psycopg-c\"] : use the C wrapper (requires development packages installed on the client machine) pip install titiler.pgstac[\"psycopg-binary\"] : binary wheels","title":"psycopg requirement"},{"location":"#launch","text":"You'll need to have POSTGRES_USER , POSTGRES_PASS , POSTGRES_DBNAME , POSTGRES_HOST , POSTGRES_PORT variables set in your environment pointing to your Postgres database where pgstac has been installed. export POSTGRES_USER=username export POSTGRES_PASS=password export POSTGRES_DBNAME=postgis export POSTGRES_HOST=database export POSTGRES_PORT=5432 $ pip install uvicorn $ uvicorn titiler.pgstac.main:app --reload","title":"Launch"},{"location":"#using-docker","text":"$ git clone https://github.com/stac-utils/titiler-pgstac.git $ cd titiler-pgstac $ docker-compose up --build tiler It runs titiler.pgstac using Gunicorn web server. To run Uvicorn based version: $ docker-compose up --build tiler-uvicorn","title":"Using Docker"},{"location":"#contribution-development","text":"See CONTRIBUTING.md","title":"Contribution & Development"},{"location":"#license","text":"See LICENSE","title":"License"},{"location":"#authors","text":"See contributors for a listing of individual contributors.","title":"Authors"},{"location":"#changes","text":"See CHANGES.md .","title":"Changes"},{"location":"contributing/","text":"Development - Contributing \u00b6 Issues and pull requests are more than welcome: github.com/stac-utils/titiler-pgstac/issues dev install $ git clone https://github.com/stac-utils/titiler-pgstac.git $ cd titiler $ pip install pre-commit -e . [ \"dev,test\" ] You can then run the tests with the following command: python -m pytest --cov titiler.pgstac --cov-report term-missing This repo is set to use pre-commit to run isort , flake8 , pydocstring , black (\"uncompromising Python code formatter\") and mypy when committing new code. $ pre-commit install","title":"Development - Contributing"},{"location":"contributing/#development-contributing","text":"Issues and pull requests are more than welcome: github.com/stac-utils/titiler-pgstac/issues dev install $ git clone https://github.com/stac-utils/titiler-pgstac.git $ cd titiler $ pip install pre-commit -e . [ \"dev,test\" ] You can then run the tests with the following command: python -m pytest --cov titiler.pgstac --cov-report term-missing This repo is set to use pre-commit to run isort , flake8 , pydocstring , black (\"uncompromising Python code formatter\") and mypy when committing new code. $ pre-commit install","title":"Development - Contributing"},{"location":"intro/","text":"TiTiler.PgSTAC is a TiTiler extension, which create dynamic tiler connected to PgSTAC databases. By default the main application ( titiler.pgstac.main.app ) provides three sets of endpoints: /searches/{search_id} : Dynamic mosaic tiler based on PgSTAC Search Query /collections/{collection_id} : Dynamic mosaic tiler based on STAC Collection /collections/{collection_id}/items/{item_id} : Dynamic tiler for single STAC item (stored in PgSTAC) STAC Searches - /searches/{search_id} \u00b6 Register a PgSTAC Search request \u00b6 Important In TiTiler.PgSTAC a STAC Search Query is equivalent to a Virtual Mosaic and a PgSTAC Search Hash is equivalent to a Mosaic Identifier . Before being able to create Map Tiles, the user needs to register a Search Query within the PgSTAC database (in the searches table). By default, TiTiler.PgSTAC has a /searches/register (POST) endpoint which will: validate the search query (based on the STAC API specification item-search ) send the search query to the postgres database using the search_query PgSTAC function return a PgSTAC Search hash Example curl -X 'POST' 'http://127.0.0.1:8081/searches/register' \\ -H 'accept: application/json' \\ -H 'Content-Type: application/json' \\ -d '{\"collections\":[\"landsat-c2l2-sr\"], \"bbox\":[-123.75,34.30714385628804,-118.125,38.82259097617712], \"filter-lang\": \"cql-json\"}' | jq >> { \"id\" : \"5a1b82d38d53a5d200273cbada886bd7\" , \"links\" : [ { \"rel\" : \"metadata\" , \"type\" : \"application/json\" , \"href\" : \"http://127.0.0.1:8081/searches/5a1b82d38d53a5d200273cbada886bd7/info\" } , { \"rel\" : \"tilejson\" , \"type\" : \"application/json\" , \"href\" : \"http://127.0.0.1:8081/searches/5a1b82d38d53a5d200273cbada886bd7/tilejson.json\" } ] } # Or using CQL-2 curl -X 'POST' 'http://127.0.0.1:8081/searches/register' \\ -H 'accept: application/json' \\ -H 'Content-Type: application/json' \\ -d '{\"filter\": {\"op\": \"and\", \"args\": [{\"op\": \"=\", \"args\": [{\"property\": \"collection\"}, \"landsat-c2l2-sr\"]}, {\"op\": \"s_intersects\", \"args\": [{\"property\": \"geometry\"}, {\"coordinates\": [[[-123.75, 34.30714385628804], [-123.75, 38.82259097617712], [-118.125, 38.82259097617712], [-118.125, 34.30714385628804], [-123.75, 34.30714385628804]]], \"type\": \"Polygon\"}]}]}}' | jq >> { \"id\" : \"5063721f06957d6b2320326d82e90d1e\" , \"links\" : [ { \"rel\" : \"metadata\" , \"type\" : \"application/json\" , \"href\" : \"http://127.0.0.1:8081/searches/5063721f06957d6b2320326d82e90d1e/info\" } , { \"rel\" : \"tilejson\" , \"type\" : \"application/json\" , \"href\" : \"http://127.0.0.1:8081/searches/5063721f06957d6b2320326d82e90d1e/tilejson.json\" } ] } curl http://127.0.0.1:8081/searches/5063721f06957d6b2320326d82e90d1e/info | jq >> { \"search\" : { \"hash\" : \"5063721f06957d6b2320326d82e90d1e\" , # <-- this is the PgSTAC Hash = search/mosaic identifier \"search\" : { # <-- Summary of the search request \"filter\" : { # <-- this is CQL2 filter associated with the search \"op\" : \"and\" , \"args\" : [ { \"op\" : \"=\" , \"args\" : [ { \"property\" : \"collection\" } , \"landsat-c2l2-sr\" ] } , { \"op\" : \"s_intersects\" , \"args\" : [ { \"property\" : \"geometry\" } , { \"type\" : \"Polygon\" , \"coordinates\" : [ [ [ -123.75, 34 .30714385628804 ] , [ -123.75, 38 .82259097617712 ] , [ -118.125, 38 .82259097617712 ] , [ -118.125, 34 .30714385628804 ] , [ -123.75, 34 .30714385628804 ] ] ] } ] } ] } } , \"_where\" : \"( ( (collection_id = 'landsat-c2l2-sr') and st_intersects(geometry, '0103000020E610000001000000050000000000000000F05EC055F6687D502741400000000000F05EC02D553EA94A6943400000000000885DC02D553EA94A6943400000000000885DC055F6687D502741400000000000F05EC055F6687D50274140'::geometry) ) ) \" , # <-- internal pgstac WHERE expression \"orderby\" : \"datetime DESC, id DESC\" , \"lastused\" : \"2022-03-03T11:44:55.878504+00:00\" , # <-- internal pgstac variable \"usecount\" : 2 , # <-- internal pgstac variable \"metadata\" : { # <-- titiler-pgstac Mosaic Metadata \"type\" : \"mosaic\" # <-- when we use the `/searches/register` endpoint, titiler-pgstac will add `type=mosaic` to the metadata } } , \"links\" : [ { \"rel\" : \"self\" , \"type\" : \"application/json\" , \"href\" : \"http://127.0.0.1:8081/searches/5063721f06957d6b2320326d82e90d1e/info\" } , { \"rel\" : \"tilejson\" , \"type\" : \"application/json\" , \"href\" : \"http://127.0.0.1:8081/searches/5063721f06957d6b2320326d82e90d1e/tilejson.json\" } ] } Mosaic Metadata \u00b6 In addition to the search query , a user can pass metadata , which will be saved in the postgres table. curl -X 'POST' 'http://127.0.0.1:8081/searches/register' \\ -H 'accept: application/json' \\ -H 'Content-Type: application/json' \\ -d '{\"collections\":[\"landsat-c2l2-sr\"], \"bbox\":[-123.75,34.30714385628804,-118.125,38.82259097617712], \"filter-lang\": \"cql-json\", \"metadata\": {\"minzoom\": 8, \"maxzoom\": 13, \"assets\": [\"B04\", \"B03\", \"B02\"], \"defaults\": {\"true_color\": {\"assets\": [\"B04\", \"B03\", \"B02\"], \"color_formula\": \"Gamma RGB 3.5 Saturation 1.7 Sigmoidal RGB 15 0.35\"}}}}' | jq >> { \"id\" : \"f31d7de8a5ddfa3a80b9a9dd06378db1\" , \"links\" : [ { \"rel\" : \"metadata\" , \"type\" : \"application/json\" , \"href\" : \"http://127.0.0.1:8081/searches/f31d7de8a5ddfa3a80b9a9dd06378db1/info\" } , { \"rel\" : \"tilejson\" , \"type\" : \"application/json\" , \"href\" : \"http://127.0.0.1:8081/searches/f31d7de8a5ddfa3a80b9a9dd06378db1/tilejson.json\" } ] } curl http://127.0.0.1:8081/searches/f31d7de8a5ddfa3a80b9a9dd06378db1/info | jq '.search.metadata' >> { \"type\" : \"mosaic\" , \"minzoom\" : 8 , \"maxzoom\" : 13 , \"assets\" : [ \"B04\" , \"B03\" , \"B02\" ] , \"defaults\" : { \"true_color\" : { \"assets\" : [ \"B04\" , \"B03\" , \"B02\" ] , \"color_formula\" : \"Gamma RGB 3.5 Saturation 1.7 Sigmoidal RGB 15 0.35\" } } } Fetch mosaic Tiles \u00b6 When we have an id we can call the dynamic tiler and ask for Map Tiles. How it works On each Tile request, the tiler api is going to call the PgSTAC geometrysearch function with the id and the Tile geometry to get the list of STAC Items ( code ). Then based on the assets parameter, the tiler will construct the tile image ( code ). Important Because Tiles will be created from STAC Items we HAVE TO pass assets={stac asset} option to the tile endpoint to tell the tiler which STAC assets has to be used. See full list of options Example curl ' http://127.0.0.1:8081/searches/f1ed59f0a6ad91ed80ae79b7b52bc707/tiles/8/40/102.png?assets = B01 & rescale = 0 ,16000 > 8 -40-102.png STAC Collection - /collections/{collection_id} \u00b6 No need for the user to register search queries for those endpoints. The tiler will automatically register a search query ( collection={collection_id} ). example curl http://127.0.0.1:8081/collections/my-collection/tilejson.json?assets = data { \"tilejson\" : \"2.2.0\" , \"name\" : \"Mosaic for 'my-collection' Collection\" , \"version\" : \"1.0.0\" , \"scheme\" : \"xyz\" , \"tiles\" : [ \"http://127.0.0.1:8081/collections/my-collection/tiles/WebMercatorQuad/{z}/{x}/{y}?assets=data\" ] , \"minzoom\" : 0 , \"maxzoom\" : 24 , \"bounds\" : [ -180, -90, 180 , 90 ] , \"center\" : [ 0 , 0 , 0 ] } STAC Item - /collections/{collection_id}/items/{item_id} \u00b6 titiler-pgstac can also be used to access individual item stored in the PgSTAC database. By default the titiler-pgstac application will have a set of /collections/{collection_id}/items/{item_id}/... endpoints. The endpoints are created using titiler.core.factory.MultiBaseTilerFactory but using a custom path_dependency with collection_id and item_id path parameters instead of the STAC url as query parameter. example curl http://127.0.0.1:8081/collections/world/items/world_20000_5000/info | jq { \"asset\" : { \"bounds\" : [ 153 .5000000000667, -76.83333333336668, 179 .8333333334053, 6 .4999999999833165 ] , \"minzoom\" : 3 , \"maxzoom\" : 6 , \"band_metadata\" : [ [ \"b1\" , {} ] , [ \"b2\" , {} ] , [ \"b3\" , {} ] ] , \"band_descriptions\" : [ [ \"b1\" , \"\" ] , [ \"b2\" , \"\" ] , [ \"b3\" , \"\" ] ] , \"dtype\" : \"uint8\" , \"nodata_type\" : \"None\" , \"colorinterp\" : [ \"red\" , \"green\" , \"blue\" ] , \"driver\" : \"GTiff\" , \"count\" : 3 , \"width\" : 1580 , \"height\" : 5000 , \"overviews\" : [ 2 , 4 , 8 , 16 ] } } See full list of endpoints","title":"Intro"},{"location":"intro/#stac-searches-searchessearch_id","text":"","title":"STAC Searches - /searches/{search_id}"},{"location":"intro/#register-a-pgstac-search-request","text":"Important In TiTiler.PgSTAC a STAC Search Query is equivalent to a Virtual Mosaic and a PgSTAC Search Hash is equivalent to a Mosaic Identifier . Before being able to create Map Tiles, the user needs to register a Search Query within the PgSTAC database (in the searches table). By default, TiTiler.PgSTAC has a /searches/register (POST) endpoint which will: validate the search query (based on the STAC API specification item-search ) send the search query to the postgres database using the search_query PgSTAC function return a PgSTAC Search hash Example curl -X 'POST' 'http://127.0.0.1:8081/searches/register' \\ -H 'accept: application/json' \\ -H 'Content-Type: application/json' \\ -d '{\"collections\":[\"landsat-c2l2-sr\"], \"bbox\":[-123.75,34.30714385628804,-118.125,38.82259097617712], \"filter-lang\": \"cql-json\"}' | jq >> { \"id\" : \"5a1b82d38d53a5d200273cbada886bd7\" , \"links\" : [ { \"rel\" : \"metadata\" , \"type\" : \"application/json\" , \"href\" : \"http://127.0.0.1:8081/searches/5a1b82d38d53a5d200273cbada886bd7/info\" } , { \"rel\" : \"tilejson\" , \"type\" : \"application/json\" , \"href\" : \"http://127.0.0.1:8081/searches/5a1b82d38d53a5d200273cbada886bd7/tilejson.json\" } ] } # Or using CQL-2 curl -X 'POST' 'http://127.0.0.1:8081/searches/register' \\ -H 'accept: application/json' \\ -H 'Content-Type: application/json' \\ -d '{\"filter\": {\"op\": \"and\", \"args\": [{\"op\": \"=\", \"args\": [{\"property\": \"collection\"}, \"landsat-c2l2-sr\"]}, {\"op\": \"s_intersects\", \"args\": [{\"property\": \"geometry\"}, {\"coordinates\": [[[-123.75, 34.30714385628804], [-123.75, 38.82259097617712], [-118.125, 38.82259097617712], [-118.125, 34.30714385628804], [-123.75, 34.30714385628804]]], \"type\": \"Polygon\"}]}]}}' | jq >> { \"id\" : \"5063721f06957d6b2320326d82e90d1e\" , \"links\" : [ { \"rel\" : \"metadata\" , \"type\" : \"application/json\" , \"href\" : \"http://127.0.0.1:8081/searches/5063721f06957d6b2320326d82e90d1e/info\" } , { \"rel\" : \"tilejson\" , \"type\" : \"application/json\" , \"href\" : \"http://127.0.0.1:8081/searches/5063721f06957d6b2320326d82e90d1e/tilejson.json\" } ] } curl http://127.0.0.1:8081/searches/5063721f06957d6b2320326d82e90d1e/info | jq >> { \"search\" : { \"hash\" : \"5063721f06957d6b2320326d82e90d1e\" , # <-- this is the PgSTAC Hash = search/mosaic identifier \"search\" : { # <-- Summary of the search request \"filter\" : { # <-- this is CQL2 filter associated with the search \"op\" : \"and\" , \"args\" : [ { \"op\" : \"=\" , \"args\" : [ { \"property\" : \"collection\" } , \"landsat-c2l2-sr\" ] } , { \"op\" : \"s_intersects\" , \"args\" : [ { \"property\" : \"geometry\" } , { \"type\" : \"Polygon\" , \"coordinates\" : [ [ [ -123.75, 34 .30714385628804 ] , [ -123.75, 38 .82259097617712 ] , [ -118.125, 38 .82259097617712 ] , [ -118.125, 34 .30714385628804 ] , [ -123.75, 34 .30714385628804 ] ] ] } ] } ] } } , \"_where\" : \"( ( (collection_id = 'landsat-c2l2-sr') and st_intersects(geometry, '0103000020E610000001000000050000000000000000F05EC055F6687D502741400000000000F05EC02D553EA94A6943400000000000885DC02D553EA94A6943400000000000885DC055F6687D502741400000000000F05EC055F6687D50274140'::geometry) ) ) \" , # <-- internal pgstac WHERE expression \"orderby\" : \"datetime DESC, id DESC\" , \"lastused\" : \"2022-03-03T11:44:55.878504+00:00\" , # <-- internal pgstac variable \"usecount\" : 2 , # <-- internal pgstac variable \"metadata\" : { # <-- titiler-pgstac Mosaic Metadata \"type\" : \"mosaic\" # <-- when we use the `/searches/register` endpoint, titiler-pgstac will add `type=mosaic` to the metadata } } , \"links\" : [ { \"rel\" : \"self\" , \"type\" : \"application/json\" , \"href\" : \"http://127.0.0.1:8081/searches/5063721f06957d6b2320326d82e90d1e/info\" } , { \"rel\" : \"tilejson\" , \"type\" : \"application/json\" , \"href\" : \"http://127.0.0.1:8081/searches/5063721f06957d6b2320326d82e90d1e/tilejson.json\" } ] }","title":"Register a PgSTAC Search request"},{"location":"intro/#mosaic-metadata","text":"In addition to the search query , a user can pass metadata , which will be saved in the postgres table. curl -X 'POST' 'http://127.0.0.1:8081/searches/register' \\ -H 'accept: application/json' \\ -H 'Content-Type: application/json' \\ -d '{\"collections\":[\"landsat-c2l2-sr\"], \"bbox\":[-123.75,34.30714385628804,-118.125,38.82259097617712], \"filter-lang\": \"cql-json\", \"metadata\": {\"minzoom\": 8, \"maxzoom\": 13, \"assets\": [\"B04\", \"B03\", \"B02\"], \"defaults\": {\"true_color\": {\"assets\": [\"B04\", \"B03\", \"B02\"], \"color_formula\": \"Gamma RGB 3.5 Saturation 1.7 Sigmoidal RGB 15 0.35\"}}}}' | jq >> { \"id\" : \"f31d7de8a5ddfa3a80b9a9dd06378db1\" , \"links\" : [ { \"rel\" : \"metadata\" , \"type\" : \"application/json\" , \"href\" : \"http://127.0.0.1:8081/searches/f31d7de8a5ddfa3a80b9a9dd06378db1/info\" } , { \"rel\" : \"tilejson\" , \"type\" : \"application/json\" , \"href\" : \"http://127.0.0.1:8081/searches/f31d7de8a5ddfa3a80b9a9dd06378db1/tilejson.json\" } ] } curl http://127.0.0.1:8081/searches/f31d7de8a5ddfa3a80b9a9dd06378db1/info | jq '.search.metadata' >> { \"type\" : \"mosaic\" , \"minzoom\" : 8 , \"maxzoom\" : 13 , \"assets\" : [ \"B04\" , \"B03\" , \"B02\" ] , \"defaults\" : { \"true_color\" : { \"assets\" : [ \"B04\" , \"B03\" , \"B02\" ] , \"color_formula\" : \"Gamma RGB 3.5 Saturation 1.7 Sigmoidal RGB 15 0.35\" } } }","title":"Mosaic Metadata"},{"location":"intro/#fetch-mosaic-tiles","text":"When we have an id we can call the dynamic tiler and ask for Map Tiles. How it works On each Tile request, the tiler api is going to call the PgSTAC geometrysearch function with the id and the Tile geometry to get the list of STAC Items ( code ). Then based on the assets parameter, the tiler will construct the tile image ( code ). Important Because Tiles will be created from STAC Items we HAVE TO pass assets={stac asset} option to the tile endpoint to tell the tiler which STAC assets has to be used. See full list of options Example curl ' http://127.0.0.1:8081/searches/f1ed59f0a6ad91ed80ae79b7b52bc707/tiles/8/40/102.png?assets = B01 & rescale = 0 ,16000 > 8 -40-102.png","title":"Fetch mosaic Tiles"},{"location":"intro/#stac-collection-collectionscollection_id","text":"No need for the user to register search queries for those endpoints. The tiler will automatically register a search query ( collection={collection_id} ). example curl http://127.0.0.1:8081/collections/my-collection/tilejson.json?assets = data { \"tilejson\" : \"2.2.0\" , \"name\" : \"Mosaic for 'my-collection' Collection\" , \"version\" : \"1.0.0\" , \"scheme\" : \"xyz\" , \"tiles\" : [ \"http://127.0.0.1:8081/collections/my-collection/tiles/WebMercatorQuad/{z}/{x}/{y}?assets=data\" ] , \"minzoom\" : 0 , \"maxzoom\" : 24 , \"bounds\" : [ -180, -90, 180 , 90 ] , \"center\" : [ 0 , 0 , 0 ] }","title":"STAC Collection - /collections/{collection_id}"},{"location":"intro/#stac-item-collectionscollection_iditemsitem_id","text":"titiler-pgstac can also be used to access individual item stored in the PgSTAC database. By default the titiler-pgstac application will have a set of /collections/{collection_id}/items/{item_id}/... endpoints. The endpoints are created using titiler.core.factory.MultiBaseTilerFactory but using a custom path_dependency with collection_id and item_id path parameters instead of the STAC url as query parameter. example curl http://127.0.0.1:8081/collections/world/items/world_20000_5000/info | jq { \"asset\" : { \"bounds\" : [ 153 .5000000000667, -76.83333333336668, 179 .8333333334053, 6 .4999999999833165 ] , \"minzoom\" : 3 , \"maxzoom\" : 6 , \"band_metadata\" : [ [ \"b1\" , {} ] , [ \"b2\" , {} ] , [ \"b3\" , {} ] ] , \"band_descriptions\" : [ [ \"b1\" , \"\" ] , [ \"b2\" , \"\" ] , [ \"b3\" , \"\" ] ] , \"dtype\" : \"uint8\" , \"nodata_type\" : \"None\" , \"colorinterp\" : [ \"red\" , \"green\" , \"blue\" ] , \"driver\" : \"GTiff\" , \"count\" : 3 , \"width\" : 1580 , \"height\" : 5000 , \"overviews\" : [ 2 , 4 , 8 , 16 ] } } See full list of endpoints","title":"STAC Item - /collections/{collection_id}/items/{item_id}"},{"location":"release-notes/","text":"Release Notes \u00b6 1.0.0 (2023-12-12) \u00b6 no change since 1.0.0a4 1.0.0a4 (2023-11-10) \u00b6 add algorithm options for /statistics [POST] endpoints (back-ported from 0.8.1) 1.0.0a3 (2023-11-03) \u00b6 remove reverse option in PGSTACBackend mosaic backend. Reverse item order should be achieved with STAC search sortby. 1.0.0a2 (2023-11-02) \u00b6 update titiler's dependency to >=0.15.2,<0.16 rename dependencies.TileParams to dependencies.TmsTileParams 1.0.0a1 (2023-10-20) \u00b6 rename dependencies.ItemPathParams to ItemIdParams breaking change 1.0.0a0 (2023-10-20) \u00b6 add pgstac_dependency attribute in MosaicTilerFactory (defaults to dependencies.PgSTACParams ) add database's pool check in startup event add metadata layers links in mosaic's /info response for TileJSON, map and wmts endpoint links add CollectionIdParams dependency to retrieve a SearchId for a CollectionId add /collections/{collection_id} virtual mosaic endpoints update endpoints Tags ( STAC Search , STAC Collection , STAC Item ) Endpoint breaking changes \u00b6 move PgSTAC Search Virtual Mosaic's endpoints from /mosaic to /searches in model.RegisterResponse (model used in /register endpoint) rename searchid by id # before resp = httpx . post ( \"/mosaic/register\" , body = { \"collections\" : [ \"my-collection\" ], \"filter-lang\" : \"cql-json\" }) assert resp . json ()[ \"searchid\" ] # now resp = httpx . post ( \"/searches/register\" , body = { \"collections\" : [ \"my-collection\" ], \"filter-lang\" : \"cql-json\" }) assert resp . json ()[ \"id\" ] API breaking changes \u00b6 rename dependencies.PathParams to dependencies.SearchIdParams rename searchid path parameter to search_id in SearchIdParams move check_query_params methods outside MosaicTilerFactory class make path_dependency a required input to MosaicTilerFactory class # before app = FastAPI () mosaic = MosaicTilerFactory ( ... ) app . include_router ( mosaic . router ) # now app = FastAPI () mosaic = MosaicTilerFactory ( ... , path_dependency = lambda : \"aaaaaaaaaaaaaa\" ) app . include_router ( mosaic . router ) remove /{search_id} prefix in MosaicTilerFactory routes. Now use parameter injection from global prefix # Before app = FastAPI () mosaic = MosaicTilerFactory ( ... , router_prefix = \"/mosaics\" ) app . include_router ( mosaic . router , prefix = \"/mosaics\" ) # Now app = FastAPI () mosaic = MosaicTilerFactory ( ... router_prefix = \"/mosaics/ {search_id} \" ) app . include_router ( mosaic . router , prefix = \"/mosaics/ {search_id} \" ) move /info endpoint outside the MosaicTilerFactory to its own extension ( titiler.pgstac.extension.searchInfoExtension ) # Before app = FastAPI () mosaic = MosaicTilerFactory ( ... ) app . include_router ( mosaic . router ) # Now app = FastAPI () mosaic = MosaicTilerFactory ( ... extensions = [ searchInfoExtension (), ] ) app . include_router ( mosaic . router ) move /register and /list endpoint creation outside the MosaicTilerFactory class # before from titiler.pgstac.factory import MosaicTilerFactory mosaic = MosaicTilerFactory ( ... , router_prefix = \"/ {search_id} \" , ) app . include_router ( mosaic . router , prefix = \"/ {search_id} \" ) # Now from titiler.pgstac.factory import ( MosaicTilerFactory , add_search_register_route , add_mosaic_register_route , ) mosaic = MosaicTilerFactory ( ... , router_prefix = \"/ {search_id} \" , ) app . include_router ( mosaic . router , prefix = \"/ {search_id} \" ) # add /register endpoint add_search_register_route ( app , # any dependency we want to validate # when creating the tilejson/map links tile_dependencies = [ mosaic . layer_dependency , mosaic . dataset_dependency , mosaic . pixel_selection_dependency , mosaic . process_dependency , mosaic . rescale_dependency , mosaic . colormap_dependency , mosaic . render_dependency , mosaic . pgstac_dependency , mosaic . reader_dependency , mosaic . backend_dependency , ], ) # add /list endpoint add_search_list_route ( app ) 0.8.1 (2023-11-10) \u00b6 add algorithm options for /statistics [POST] endpoints 0.8.0 (2023-10-06) \u00b6 update titiler requirement to >=0.15.0,<0.16 remove max_size default for mosaic's /statistics [POST] endpoint breaking change add /bbox and /feature [POST] optional endpoints add img_part_dependency attribute in MosaicTilerFactory (defaults to titiler.code.dependencies.PartFeatureParams ) 0.7.0 (2023-09-28) \u00b6 update requirements to switch to pydantic~=2.0 pydantic>=2.4,<3.0 pydantic-settings~=2.0 geojson-pydantic~=1.0 cogeo-mosaic>=7.0,<8.0 update titiler requirement to >=0.14.0,<0.15 replace - by _ in query parameters coord-crs -> coord_crs dst-crs -> dst_crs 0.6.0 (2023-09-18) \u00b6 add tilejson URL links for layers defined in mosaic's metadata in /mosaic/register and /mosaic/{mosaic_id}/info response support multiple layers in /mosaic/{mosaic_id}/WMTSCapabilities.xml endpoint created from mosaic's metadata breaking change In /mosaic/WMTSCapabilities.xml we removed the query-parameters related to the tile endpoint (which are forwarded) so ?assets= is no more required. The endpoint will still raise an error if there are no layers in the mosaic metadata and no required tile's parameters are passed. # before response = httpx . get ( \"/mosaic/ {mosaic_id} /WMTSCapabilities.xml\" ) assert response . status_code == 400 response = httpx . get ( \"/mosaic/ {mosaic_id} /WMTSCapabilities.xml?assets=cog\" ) assert response . status_code == 200 # now # If the mosaic has `defaults` layers set in the metadata # we will construct a WMTS document with multiple layers, so no need for the user to pass any `assets=` response = httpx . get ( \"/mosaic/ {mosaic_id} /WMTSCapabilities.xml\" ) assert response . status_code == 200 with rasterio . open ( io . BytesIO ( response . content )) as src : assert src . profile [ \"driver\" ] == \"WMTS\" assert len ( src . subdatasets ) == 2 # If the user pass any valid `tile` parameters, an additional layer will be added to the one from the metadata response = httpx . get ( \"/mosaic/ {mosaic_id} /WMTSCapabilities.xml?assets=cog\" ) assert response . status_code == 200 with rasterio . open ( io . BytesIO ( response . content )) as src : assert src . profile [ \"driver\" ] == \"WMTS\" assert len ( src . subdatasets ) == 3 0.5.1 (2023-08-03) \u00b6 add python-dotenv requirement 0.5.0 (2023-07-20) \u00b6 update titiler requirement to >=0.12.0,<0.13 use Annotated Type for Query/Path parameters re-order endpoints in MosaicTilerFactory to avoid conflicts between tiles and assets endpoints remove stac-pydantic dependency add optional root_path setting to specify a url path prefix to use when running the app behind a reverse proxy add landing page / use lifespan option instead of deprecated @app.on_event method to initiate/close DB connection breaking changes remove deprecated /{searchid}/{z}/{x}/{y}/assets endpoints use /api and /api.html for documentation (instead of /openapi.json and /docs) replace Enum's with Literal types replace variable TileMatrixSetId by tileMatrixSetId add pixel_selection_dependency attribute to the MosaicTilerFactory 0.4.1 (2023-06-21) \u00b6 update titiler requirement to >=0.11.7 fix /map endpoint template name rename add_map_viewer to add_viewer option in MosaicTilerFactory for consistency with titiler's options 0.4.0 (2023-05-22) \u00b6 remove deprecated /tiles/{searchid}/... endpoints (replaced with /{searchid}/tiles/... ) depreciate /{searchid}/{z}/{x}/{y}/assets endpoints and add /{searchid}/tiles/{z}/{x}/{y}/assets update minimum titiler requirement to >=0.11.6 remove timing headers add strict_zoom option (controled with MOSAIC_STRICT_ZOOM environment variable) to raise (or not) error when fetching tile outside mosaic min/max zoom range 0.3.3 (2023-04-27) \u00b6 update python packaging/build system to pdm-pep517 use Ruff for lint add retry mechanism on Database connection issues for PGSTACBackend.get_assets() and get_stac_item methods (back ported from 0.2.4) 0.3.2 (2023-03-14) \u00b6 update titiler requirement to 0.10.2 fix maximum version of FastAPI to 0.92 (to avoid breaking change of starlette >0.25) 0.3.1 (2022-12-16) \u00b6 update Type information for dependencies.get_stac_item (back ported from 0.2.2) 0.3.0 (2022-12-16) \u00b6 breaking changes Use /collections/{collection_id}/items/{item_id} prefix for Item endpoint. # Before {endpoint}/stac/info?collection=collection1&item=item1 # Now {endpoint}/collections/collection1/items/item1/info Change tile url path parameter order from /tiles/{searchid}/{TileMatrixSetId}/{z}/{x}/{y} to /{searchid}/tiles/{TileMatrixSetId}/{z}/{x}/{y} # Before {endpoint}/mosaic/tiles/20200307aC0853900w361030/0/0/0 # Now {endpoint}/mosaic/20200307aC0853900w361030/tiles/0/0/0 0.2.4 (2023-04-27) \u00b6 add retry mechanism on Database connection issues for PGSTACBackend.get_assets() and get_stac_item methods 0.2.3 (2023-03-14) \u00b6 fix maximum version of FastAPI to 0.92 (to avoid breaking change of starlette >0.25) 0.2.2 (2022-12-16) \u00b6 update Type information for dependencies.get_stac_item 0.2.1 (2022-12-15) \u00b6 update titiler requirement to >=0.10.1,<0.11 and fix /map endpoint (to accept multiple TMS) 0.2.0 (2022-12-13) \u00b6 add python 3.10 and 3.11 support update to rio-tiler 4.1 add /{searchid}/map endpoint to the MosaicTilerFactory (added when add_map_viewer is set to True ) add /{searchid}/WMTSCapabilities.xml OGC WMTS endpoint to the MosaicTilerFactory add /list to the MosaicTilerFactory to list available mosaics (added when add_mosaic_list is set to True ) breaking changes remove python 3.7 support update titiler requirement to >=0.10.0 replace connection_string by database_url in settings.PostgresSettings . We can now directly set DATABASE_URL environment variable. Frontend changes \u00b6 remove asset_expression (Mosaic and Item) histogram band names are prefixed with b (e.g b1 ) (Mosaic and Item) (ref: github.com/cogeotiff/rio-tiler/blob/main/docs/src/v4_migration.md#band-names ) expression for STAC have to be in form of {asset}_b{band_name} (e.g red_b1/green_b1 ) (Mosaic and Item) (ref: github.com/cogeotiff/rio-tiler/blob/main/docs/src/v4_migration.md#multibasereader-expressions ) added asset_as_band option to force expression to be in form of {asset} (e.g red/green ) (Mosaic and Item) expression's band should now be delimited with ; (previously , was accepted) (Mosaic and Item) point output model to include band_names (Item) added algorithm options 0.1.0 (2022-06-27) \u00b6 update titiler.core and titiler.mosaic requirement to 0.7 add MosaicTilerFactory._tilejson_routes method to register TileJSON routes raise cogeo_mosaic.errors.MosaicNotFoundError when SearchId is not found in pgstac.searches table breaking changes move version definition in titiler.pgstac.__version__ remove unused fetch_options in titiler.pgstac.reader.PgSTACReader 0.1.0a10 (2022-05-16) Pre-Release \u00b6 update titiler version and add reader_dependency and backend_dependency in endpoint factory. 0.1.0.a9 (2022-05-05) Pre-Release \u00b6 remove LRU cache on all settings classes to enable support for manually providing settings via keyword arguments and to minimize lines of code (author @alukach, stac-utils/titiler-pgstac!54 ) 0.1.0.a8 (2022-05-02) Pre-Release \u00b6 Insert mosaic metadata min/max zoom and bounds in tilejson ( stac-utils/titiler-pgstac!51 ) allow users the ability to optionally provide PostgresSettings to connect_to_db() function in the event that they want to customize how their DB credentials are populated (author @alukach, stac-utils/titiler-pgstac!53 ) 0.1.0.a7 (2022-04-05) Pre-Release \u00b6 add feature() method to PGSTACBackend mosaic backend add /statistics endpoint to return statistics given a GeoJSON feature or featureCollection add collection in allowed returned fields switch to pgstac.search to get the STAC Item in titiler.pgstac.dependencies.get_stac_item ( stac-utils/titiler-pgstac!50 ) 0.1.0.a6 (2022-03-14) Pre-Release \u00b6 move dependencies to titiler.pgstac.dependencies add /stac endpoints to work with PgSTAC items breaking changes add /mosaic prefix to the PgSTAC mosaic endpoints 0.1.0.a5 (2022-03-03) Pre-Release \u00b6 Add search_dependency to allow customization of the PgSTAC Search query (Author @drnextgis, stac-utils/titiler-pgstac!41 ) Add PgSTAC Search entries model ( stac-utils/titiler-pgstac!43 ) Add Metadata specification ( stac-utils/titiler-pgstac!38 ) breaking changes update titiler.core and titiler.mosaic requirement to >=0.5 When registering a search to PgSTAC with the /register endpoint, a default metadata {\"type\": \"mosaic\"} will be set. Renamed titiler.pgstac.models to titiler.pgstac.model Renamed titiler.pgstac.models.SearchQuery to titiler.pgstac.model.PgSTACSearch (and removed metadata ) output response for /register endpoint: // before { \"searchid\" : \"...\" , \"metadata\" : \"http://endpoint/.../info\" , \"tiles\" : \"http://endpoint/.../tilejson.json\" , } // now { \"searchid\" : \"...\" , \"links\" : [ { \"rel\" : \"info\" , \"href\" : \"http://endpoint/.../info\" , \"type\" : \"application/json\" , }, { \"rel\" : \"tilejson\" , \"href\" : \"http://endpoint/.../tilejson.json\" , \"type\" : \"application/json\" , } ] } output response for /info endpoint: // before { \"hash\" : \"...\" , \"search\" : {}, \"_where\" : \"...\" , ... } // now { \"search\" : { \"hash\" : \"...\" , \"search\" : {}, \"_where\" : \"...\" , ... }, \"links\" : [ { \"rel\" : \"self\" , \"href\" : \"http://endpoint/.../info\" , \"type\" : \"application/json\" , }, { \"rel\" : \"tilejson\" , \"href\" : \"http://endpoint/.../tilejson.json\" , \"type\" : \"application/json\" , } ] } 0.1.0.a4 (2022-02-07) Pre-Release \u00b6 add tile buffer option to match rio-tiler tile options ( stac-utils/titiler-pgstac!31 ) 0.1.0.a3 (2021-12-15) Pre-Release \u00b6 Forward TMS to the STAC Reader (allow multiple TMS) ( stac-utils/titiler-pgstac!28 ) 0.1.0.a2 (2021-12-13) Pre-Release \u00b6 Switch to psycopg3 add filter-lang in Search model to support newer PgSTAC (with CQL-2) add metadata in Search model to allow forwarding metadata to the search query entry in PgSTAC breaking changes Unify reader/writer db pools to request.app.state.dbpool rename PostgresSettings.db_max_inactive_conn_lifetime to PostgresSettings.max_idle remove PostgresSettings().reader_connection_string and PostgresSettings().writer_connection_string . Replaced with PostgresSettings().connection_string update titiler requirement (>= 0.4) 0.1.0.a1 (2021-09-15) Pre-Release \u00b6 Surface PgSTAC options ( scan_limit , items_limit , time_limit , exitwhenfull and skipcovered ) in Tile endpoints breaking changes remove psycopg2 requirements to avoid conflict with psycopg2-binary ( stac-utils/titiler-pgstac!15 ) 0.1.0.a0 (2021-09-06) Pre-Release \u00b6 Initial release","title":"Release notes"},{"location":"release-notes/#release-notes","text":"","title":"Release Notes"},{"location":"release-notes/#100-2023-12-12","text":"no change since 1.0.0a4","title":"1.0.0 (2023-12-12)"},{"location":"release-notes/#100a4-2023-11-10","text":"add algorithm options for /statistics [POST] endpoints (back-ported from 0.8.1)","title":"1.0.0a4 (2023-11-10)"},{"location":"release-notes/#100a3-2023-11-03","text":"remove reverse option in PGSTACBackend mosaic backend. Reverse item order should be achieved with STAC search sortby.","title":"1.0.0a3 (2023-11-03)"},{"location":"release-notes/#100a2-2023-11-02","text":"update titiler's dependency to >=0.15.2,<0.16 rename dependencies.TileParams to dependencies.TmsTileParams","title":"1.0.0a2 (2023-11-02)"},{"location":"release-notes/#100a1-2023-10-20","text":"rename dependencies.ItemPathParams to ItemIdParams breaking change","title":"1.0.0a1 (2023-10-20)"},{"location":"release-notes/#100a0-2023-10-20","text":"add pgstac_dependency attribute in MosaicTilerFactory (defaults to dependencies.PgSTACParams ) add database's pool check in startup event add metadata layers links in mosaic's /info response for TileJSON, map and wmts endpoint links add CollectionIdParams dependency to retrieve a SearchId for a CollectionId add /collections/{collection_id} virtual mosaic endpoints update endpoints Tags ( STAC Search , STAC Collection , STAC Item )","title":"1.0.0a0 (2023-10-20)"},{"location":"release-notes/#endpoint-breaking-changes","text":"move PgSTAC Search Virtual Mosaic's endpoints from /mosaic to /searches in model.RegisterResponse (model used in /register endpoint) rename searchid by id # before resp = httpx . post ( \"/mosaic/register\" , body = { \"collections\" : [ \"my-collection\" ], \"filter-lang\" : \"cql-json\" }) assert resp . json ()[ \"searchid\" ] # now resp = httpx . post ( \"/searches/register\" , body = { \"collections\" : [ \"my-collection\" ], \"filter-lang\" : \"cql-json\" }) assert resp . json ()[ \"id\" ]","title":"Endpoint breaking changes"},{"location":"release-notes/#api-breaking-changes","text":"rename dependencies.PathParams to dependencies.SearchIdParams rename searchid path parameter to search_id in SearchIdParams move check_query_params methods outside MosaicTilerFactory class make path_dependency a required input to MosaicTilerFactory class # before app = FastAPI () mosaic = MosaicTilerFactory ( ... ) app . include_router ( mosaic . router ) # now app = FastAPI () mosaic = MosaicTilerFactory ( ... , path_dependency = lambda : \"aaaaaaaaaaaaaa\" ) app . include_router ( mosaic . router ) remove /{search_id} prefix in MosaicTilerFactory routes. Now use parameter injection from global prefix # Before app = FastAPI () mosaic = MosaicTilerFactory ( ... , router_prefix = \"/mosaics\" ) app . include_router ( mosaic . router , prefix = \"/mosaics\" ) # Now app = FastAPI () mosaic = MosaicTilerFactory ( ... router_prefix = \"/mosaics/ {search_id} \" ) app . include_router ( mosaic . router , prefix = \"/mosaics/ {search_id} \" ) move /info endpoint outside the MosaicTilerFactory to its own extension ( titiler.pgstac.extension.searchInfoExtension ) # Before app = FastAPI () mosaic = MosaicTilerFactory ( ... ) app . include_router ( mosaic . router ) # Now app = FastAPI () mosaic = MosaicTilerFactory ( ... extensions = [ searchInfoExtension (), ] ) app . include_router ( mosaic . router ) move /register and /list endpoint creation outside the MosaicTilerFactory class # before from titiler.pgstac.factory import MosaicTilerFactory mosaic = MosaicTilerFactory ( ... , router_prefix = \"/ {search_id} \" , ) app . include_router ( mosaic . router , prefix = \"/ {search_id} \" ) # Now from titiler.pgstac.factory import ( MosaicTilerFactory , add_search_register_route , add_mosaic_register_route , ) mosaic = MosaicTilerFactory ( ... , router_prefix = \"/ {search_id} \" , ) app . include_router ( mosaic . router , prefix = \"/ {search_id} \" ) # add /register endpoint add_search_register_route ( app , # any dependency we want to validate # when creating the tilejson/map links tile_dependencies = [ mosaic . layer_dependency , mosaic . dataset_dependency , mosaic . pixel_selection_dependency , mosaic . process_dependency , mosaic . rescale_dependency , mosaic . colormap_dependency , mosaic . render_dependency , mosaic . pgstac_dependency , mosaic . reader_dependency , mosaic . backend_dependency , ], ) # add /list endpoint add_search_list_route ( app )","title":"API breaking changes"},{"location":"release-notes/#081-2023-11-10","text":"add algorithm options for /statistics [POST] endpoints","title":"0.8.1 (2023-11-10)"},{"location":"release-notes/#080-2023-10-06","text":"update titiler requirement to >=0.15.0,<0.16 remove max_size default for mosaic's /statistics [POST] endpoint breaking change add /bbox and /feature [POST] optional endpoints add img_part_dependency attribute in MosaicTilerFactory (defaults to titiler.code.dependencies.PartFeatureParams )","title":"0.8.0 (2023-10-06)"},{"location":"release-notes/#070-2023-09-28","text":"update requirements to switch to pydantic~=2.0 pydantic>=2.4,<3.0 pydantic-settings~=2.0 geojson-pydantic~=1.0 cogeo-mosaic>=7.0,<8.0 update titiler requirement to >=0.14.0,<0.15 replace - by _ in query parameters coord-crs -> coord_crs dst-crs -> dst_crs","title":"0.7.0 (2023-09-28)"},{"location":"release-notes/#060-2023-09-18","text":"add tilejson URL links for layers defined in mosaic's metadata in /mosaic/register and /mosaic/{mosaic_id}/info response support multiple layers in /mosaic/{mosaic_id}/WMTSCapabilities.xml endpoint created from mosaic's metadata breaking change In /mosaic/WMTSCapabilities.xml we removed the query-parameters related to the tile endpoint (which are forwarded) so ?assets= is no more required. The endpoint will still raise an error if there are no layers in the mosaic metadata and no required tile's parameters are passed. # before response = httpx . get ( \"/mosaic/ {mosaic_id} /WMTSCapabilities.xml\" ) assert response . status_code == 400 response = httpx . get ( \"/mosaic/ {mosaic_id} /WMTSCapabilities.xml?assets=cog\" ) assert response . status_code == 200 # now # If the mosaic has `defaults` layers set in the metadata # we will construct a WMTS document with multiple layers, so no need for the user to pass any `assets=` response = httpx . get ( \"/mosaic/ {mosaic_id} /WMTSCapabilities.xml\" ) assert response . status_code == 200 with rasterio . open ( io . BytesIO ( response . content )) as src : assert src . profile [ \"driver\" ] == \"WMTS\" assert len ( src . subdatasets ) == 2 # If the user pass any valid `tile` parameters, an additional layer will be added to the one from the metadata response = httpx . get ( \"/mosaic/ {mosaic_id} /WMTSCapabilities.xml?assets=cog\" ) assert response . status_code == 200 with rasterio . open ( io . BytesIO ( response . content )) as src : assert src . profile [ \"driver\" ] == \"WMTS\" assert len ( src . subdatasets ) == 3","title":"0.6.0 (2023-09-18)"},{"location":"release-notes/#051-2023-08-03","text":"add python-dotenv requirement","title":"0.5.1 (2023-08-03)"},{"location":"release-notes/#050-2023-07-20","text":"update titiler requirement to >=0.12.0,<0.13 use Annotated Type for Query/Path parameters re-order endpoints in MosaicTilerFactory to avoid conflicts between tiles and assets endpoints remove stac-pydantic dependency add optional root_path setting to specify a url path prefix to use when running the app behind a reverse proxy add landing page / use lifespan option instead of deprecated @app.on_event method to initiate/close DB connection breaking changes remove deprecated /{searchid}/{z}/{x}/{y}/assets endpoints use /api and /api.html for documentation (instead of /openapi.json and /docs) replace Enum's with Literal types replace variable TileMatrixSetId by tileMatrixSetId add pixel_selection_dependency attribute to the MosaicTilerFactory","title":"0.5.0 (2023-07-20)"},{"location":"release-notes/#041-2023-06-21","text":"update titiler requirement to >=0.11.7 fix /map endpoint template name rename add_map_viewer to add_viewer option in MosaicTilerFactory for consistency with titiler's options","title":"0.4.1 (2023-06-21)"},{"location":"release-notes/#040-2023-05-22","text":"remove deprecated /tiles/{searchid}/... endpoints (replaced with /{searchid}/tiles/... ) depreciate /{searchid}/{z}/{x}/{y}/assets endpoints and add /{searchid}/tiles/{z}/{x}/{y}/assets update minimum titiler requirement to >=0.11.6 remove timing headers add strict_zoom option (controled with MOSAIC_STRICT_ZOOM environment variable) to raise (or not) error when fetching tile outside mosaic min/max zoom range","title":"0.4.0 (2023-05-22)"},{"location":"release-notes/#033-2023-04-27","text":"update python packaging/build system to pdm-pep517 use Ruff for lint add retry mechanism on Database connection issues for PGSTACBackend.get_assets() and get_stac_item methods (back ported from 0.2.4)","title":"0.3.3 (2023-04-27)"},{"location":"release-notes/#032-2023-03-14","text":"update titiler requirement to 0.10.2 fix maximum version of FastAPI to 0.92 (to avoid breaking change of starlette >0.25)","title":"0.3.2 (2023-03-14)"},{"location":"release-notes/#031-2022-12-16","text":"update Type information for dependencies.get_stac_item (back ported from 0.2.2)","title":"0.3.1 (2022-12-16)"},{"location":"release-notes/#030-2022-12-16","text":"breaking changes Use /collections/{collection_id}/items/{item_id} prefix for Item endpoint. # Before {endpoint}/stac/info?collection=collection1&item=item1 # Now {endpoint}/collections/collection1/items/item1/info Change tile url path parameter order from /tiles/{searchid}/{TileMatrixSetId}/{z}/{x}/{y} to /{searchid}/tiles/{TileMatrixSetId}/{z}/{x}/{y} # Before {endpoint}/mosaic/tiles/20200307aC0853900w361030/0/0/0 # Now {endpoint}/mosaic/20200307aC0853900w361030/tiles/0/0/0","title":"0.3.0 (2022-12-16)"},{"location":"release-notes/#024-2023-04-27","text":"add retry mechanism on Database connection issues for PGSTACBackend.get_assets() and get_stac_item methods","title":"0.2.4 (2023-04-27)"},{"location":"release-notes/#023-2023-03-14","text":"fix maximum version of FastAPI to 0.92 (to avoid breaking change of starlette >0.25)","title":"0.2.3 (2023-03-14)"},{"location":"release-notes/#022-2022-12-16","text":"update Type information for dependencies.get_stac_item","title":"0.2.2 (2022-12-16)"},{"location":"release-notes/#021-2022-12-15","text":"update titiler requirement to >=0.10.1,<0.11 and fix /map endpoint (to accept multiple TMS)","title":"0.2.1 (2022-12-15)"},{"location":"release-notes/#020-2022-12-13","text":"add python 3.10 and 3.11 support update to rio-tiler 4.1 add /{searchid}/map endpoint to the MosaicTilerFactory (added when add_map_viewer is set to True ) add /{searchid}/WMTSCapabilities.xml OGC WMTS endpoint to the MosaicTilerFactory add /list to the MosaicTilerFactory to list available mosaics (added when add_mosaic_list is set to True ) breaking changes remove python 3.7 support update titiler requirement to >=0.10.0 replace connection_string by database_url in settings.PostgresSettings . We can now directly set DATABASE_URL environment variable.","title":"0.2.0 (2022-12-13)"},{"location":"release-notes/#frontend-changes","text":"remove asset_expression (Mosaic and Item) histogram band names are prefixed with b (e.g b1 ) (Mosaic and Item) (ref: github.com/cogeotiff/rio-tiler/blob/main/docs/src/v4_migration.md#band-names ) expression for STAC have to be in form of {asset}_b{band_name} (e.g red_b1/green_b1 ) (Mosaic and Item) (ref: github.com/cogeotiff/rio-tiler/blob/main/docs/src/v4_migration.md#multibasereader-expressions ) added asset_as_band option to force expression to be in form of {asset} (e.g red/green ) (Mosaic and Item) expression's band should now be delimited with ; (previously , was accepted) (Mosaic and Item) point output model to include band_names (Item) added algorithm options","title":"Frontend changes"},{"location":"release-notes/#010-2022-06-27","text":"update titiler.core and titiler.mosaic requirement to 0.7 add MosaicTilerFactory._tilejson_routes method to register TileJSON routes raise cogeo_mosaic.errors.MosaicNotFoundError when SearchId is not found in pgstac.searches table breaking changes move version definition in titiler.pgstac.__version__ remove unused fetch_options in titiler.pgstac.reader.PgSTACReader","title":"0.1.0 (2022-06-27)"},{"location":"release-notes/#010a10-2022-05-16-pre-release","text":"update titiler version and add reader_dependency and backend_dependency in endpoint factory.","title":"0.1.0a10 (2022-05-16) Pre-Release"},{"location":"release-notes/#010a9-2022-05-05-pre-release","text":"remove LRU cache on all settings classes to enable support for manually providing settings via keyword arguments and to minimize lines of code (author @alukach, stac-utils/titiler-pgstac!54 )","title":"0.1.0.a9 (2022-05-05) Pre-Release"},{"location":"release-notes/#010a8-2022-05-02-pre-release","text":"Insert mosaic metadata min/max zoom and bounds in tilejson ( stac-utils/titiler-pgstac!51 ) allow users the ability to optionally provide PostgresSettings to connect_to_db() function in the event that they want to customize how their DB credentials are populated (author @alukach, stac-utils/titiler-pgstac!53 )","title":"0.1.0.a8 (2022-05-02) Pre-Release"},{"location":"release-notes/#010a7-2022-04-05-pre-release","text":"add feature() method to PGSTACBackend mosaic backend add /statistics endpoint to return statistics given a GeoJSON feature or featureCollection add collection in allowed returned fields switch to pgstac.search to get the STAC Item in titiler.pgstac.dependencies.get_stac_item ( stac-utils/titiler-pgstac!50 )","title":"0.1.0.a7 (2022-04-05) Pre-Release"},{"location":"release-notes/#010a6-2022-03-14-pre-release","text":"move dependencies to titiler.pgstac.dependencies add /stac endpoints to work with PgSTAC items breaking changes add /mosaic prefix to the PgSTAC mosaic endpoints","title":"0.1.0.a6 (2022-03-14) Pre-Release"},{"location":"release-notes/#010a5-2022-03-03-pre-release","text":"Add search_dependency to allow customization of the PgSTAC Search query (Author @drnextgis, stac-utils/titiler-pgstac!41 ) Add PgSTAC Search entries model ( stac-utils/titiler-pgstac!43 ) Add Metadata specification ( stac-utils/titiler-pgstac!38 ) breaking changes update titiler.core and titiler.mosaic requirement to >=0.5 When registering a search to PgSTAC with the /register endpoint, a default metadata {\"type\": \"mosaic\"} will be set. Renamed titiler.pgstac.models to titiler.pgstac.model Renamed titiler.pgstac.models.SearchQuery to titiler.pgstac.model.PgSTACSearch (and removed metadata ) output response for /register endpoint: // before { \"searchid\" : \"...\" , \"metadata\" : \"http://endpoint/.../info\" , \"tiles\" : \"http://endpoint/.../tilejson.json\" , } // now { \"searchid\" : \"...\" , \"links\" : [ { \"rel\" : \"info\" , \"href\" : \"http://endpoint/.../info\" , \"type\" : \"application/json\" , }, { \"rel\" : \"tilejson\" , \"href\" : \"http://endpoint/.../tilejson.json\" , \"type\" : \"application/json\" , } ] } output response for /info endpoint: // before { \"hash\" : \"...\" , \"search\" : {}, \"_where\" : \"...\" , ... } // now { \"search\" : { \"hash\" : \"...\" , \"search\" : {}, \"_where\" : \"...\" , ... }, \"links\" : [ { \"rel\" : \"self\" , \"href\" : \"http://endpoint/.../info\" , \"type\" : \"application/json\" , }, { \"rel\" : \"tilejson\" , \"href\" : \"http://endpoint/.../tilejson.json\" , \"type\" : \"application/json\" , } ] }","title":"0.1.0.a5 (2022-03-03) Pre-Release"},{"location":"release-notes/#010a4-2022-02-07-pre-release","text":"add tile buffer option to match rio-tiler tile options ( stac-utils/titiler-pgstac!31 )","title":"0.1.0.a4 (2022-02-07) Pre-Release"},{"location":"release-notes/#010a3-2021-12-15-pre-release","text":"Forward TMS to the STAC Reader (allow multiple TMS) ( stac-utils/titiler-pgstac!28 )","title":"0.1.0.a3 (2021-12-15) Pre-Release"},{"location":"release-notes/#010a2-2021-12-13-pre-release","text":"Switch to psycopg3 add filter-lang in Search model to support newer PgSTAC (with CQL-2) add metadata in Search model to allow forwarding metadata to the search query entry in PgSTAC breaking changes Unify reader/writer db pools to request.app.state.dbpool rename PostgresSettings.db_max_inactive_conn_lifetime to PostgresSettings.max_idle remove PostgresSettings().reader_connection_string and PostgresSettings().writer_connection_string . Replaced with PostgresSettings().connection_string update titiler requirement (>= 0.4)","title":"0.1.0.a2 (2021-12-13) Pre-Release"},{"location":"release-notes/#010a1-2021-09-15-pre-release","text":"Surface PgSTAC options ( scan_limit , items_limit , time_limit , exitwhenfull and skipcovered ) in Tile endpoints breaking changes remove psycopg2 requirements to avoid conflict with psycopg2-binary ( stac-utils/titiler-pgstac!15 )","title":"0.1.0.a1 (2021-09-15) Pre-Release"},{"location":"release-notes/#010a0-2021-09-06-pre-release","text":"Initial release","title":"0.1.0.a0 (2021-09-06) Pre-Release"},{"location":"tiler_factories/","text":"Mosaics: titiler.pgstac.factory.MosaicTilerFactory \u00b6 TiTiler.PgSTAC provides a MosaicTilerFactory factory which is an helper functions to create FastAPI router ( fastapi.APIRouter ) with a minimal set of endpoints. # Minimal PgSTAC Mosaic Application from contextlib import asynccontextmanager from fastapi import FastAPI from titiler.pgstac.db import close_db_connection , connect_to_db from titiler.pgstac.factory import MosaicTilerFactory @asynccontextmanager async def lifespan ( app : FastAPI ): \"\"\"FastAPI Lifespan.\"\"\" # Create Connection Pool await connect_to_db ( app ) yield # Close the Connection Pool await close_db_connection ( app ) app = FastAPI ( lifespan = lifespan ) mosaic = MosaicTilerFactory ( path_dependency = lambda : \"aaaaaaaaaaaaaaaaaaaaa\" , ) app . include_router ( mosaic . router ) Important The MosaicTilerFactory requires a path_dependency , which should be a Callable that return a search_id (PgSTAC Search Hash). For the /searches/{search_id} endpoints the path_dependency is set to titiler.pgstac.dependencies.SearchIdParams and to titiler.pgstac.dependencies.CollectionIdParams for the /collections/{collection_id} endpoints. ` Method URL Output Description GET /{lon},{lat}/assets JSON Return a list of assets which overlap a given point GET /tiles[/{TileMatrixSetId}]/{z}/{x}/{Y}/assets JSON Return a list of assets which overlap a given tile GET /tiles[/{TileMatrixSetId}]/{z}/{x}/{y}[@{scale}x][.{format}] image/bin Create a web map tile image for a search query and a tile index GET [/{TileMatrixSetId}]/tilejson.json JSON ( TileJSON ) Return a Mapbox TileJSON document GET [/{TileMatrixSetId}]/WMTSCapabilities.xml XML Return OGC WMTS Get Capabilities GET [/{TileMatrixSetId}]/map HTML Simple map viewer OPTIONAL POST /statistics GeoJSON ( Statistics ) Return statistics for geojson features OPTIONAL GET /bbox/{minx},{miny},{maxx},{maxy}[/{width}x{height}].{format} image/bin Create an image from part of a dataset OPTIONAL POST /feature[/{width}x{height}][.{format}] image/bin Create an image from a GeoJSON feature OPTIONAL Extensions \u00b6 searchInfoExtension \u00b6 Method URL Output Description GET /info JSON ( Infos ) Return list of Search entries with Mosaic type OPTIONAL app = FastAPI () mosaic = MosaicTilerFactory ( path_dependency = lambda : \"aaaaaaaaaaaaaaaaaaaaa\" , extensions = [ searchInfoExtension (), ], ) app . include_router ( mosaic . router ) register and list \u00b6 Method URL Output Description POST /register JSON ( Register ) Register Search query OPTIONAL GET /list JSON ( Info ) Return Search query infos OPTIONAL app = FastAPI () mosaic = MosaicTilerFactory ( path_dependency = lambda : \"aaaaaaaaaaaaaaaaaaaaa\" , ) app . include_router ( mosaic . router ) add_search_register_route ( app ) add_search_list_route ( app ) Items: titiler.core.factory.MultiBaseTilerFactory \u00b6 For the single STAC item endpoints we use TiTiler's MultiBaseTilerFactory with a custom path_dependency to use item_id and collection_id path parameter (instead of the default url query param). This custom path_dependency will connect to PgSTAC directly to fetch the STAC Item and pass it to a custom Reader . # Minimal PgSTAC Item Application from contextlib import asynccontextmanager from fastapi import FastAPI from titiler.core.factory import MultiBaseTilerFactory from titiler.pgstac.db import close_db_connection , connect_to_db from titiler.pgstac.dependencies import ItemPathParams from titiler.pgstac.reader import PgSTACReader @asynccontextmanager async def lifespan ( app : FastAPI ): \"\"\"FastAPI Lifespan.\"\"\" # Create Connection Pool await connect_to_db ( app ) yield # Close the Connection Pool await close_db_connection ( app ) app = FastAPI ( lifespan = lifespan ) item = MultiBaseTilerFactory ( reader = PgSTACReader , path_dependency = ItemPathParams , router_prefix = \"/collections/ {collection_id} /items/ {item_id} \" , ) app . include_router ( item . router , prefix = \"/collections/ {collection_id} /items/ {item_id} \" )","title":"Tiler Factories"},{"location":"tiler_factories/#mosaics-titilerpgstacfactorymosaictilerfactory","text":"TiTiler.PgSTAC provides a MosaicTilerFactory factory which is an helper functions to create FastAPI router ( fastapi.APIRouter ) with a minimal set of endpoints. # Minimal PgSTAC Mosaic Application from contextlib import asynccontextmanager from fastapi import FastAPI from titiler.pgstac.db import close_db_connection , connect_to_db from titiler.pgstac.factory import MosaicTilerFactory @asynccontextmanager async def lifespan ( app : FastAPI ): \"\"\"FastAPI Lifespan.\"\"\" # Create Connection Pool await connect_to_db ( app ) yield # Close the Connection Pool await close_db_connection ( app ) app = FastAPI ( lifespan = lifespan ) mosaic = MosaicTilerFactory ( path_dependency = lambda : \"aaaaaaaaaaaaaaaaaaaaa\" , ) app . include_router ( mosaic . router ) Important The MosaicTilerFactory requires a path_dependency , which should be a Callable that return a search_id (PgSTAC Search Hash). For the /searches/{search_id} endpoints the path_dependency is set to titiler.pgstac.dependencies.SearchIdParams and to titiler.pgstac.dependencies.CollectionIdParams for the /collections/{collection_id} endpoints. ` Method URL Output Description GET /{lon},{lat}/assets JSON Return a list of assets which overlap a given point GET /tiles[/{TileMatrixSetId}]/{z}/{x}/{Y}/assets JSON Return a list of assets which overlap a given tile GET /tiles[/{TileMatrixSetId}]/{z}/{x}/{y}[@{scale}x][.{format}] image/bin Create a web map tile image for a search query and a tile index GET [/{TileMatrixSetId}]/tilejson.json JSON ( TileJSON ) Return a Mapbox TileJSON document GET [/{TileMatrixSetId}]/WMTSCapabilities.xml XML Return OGC WMTS Get Capabilities GET [/{TileMatrixSetId}]/map HTML Simple map viewer OPTIONAL POST /statistics GeoJSON ( Statistics ) Return statistics for geojson features OPTIONAL GET /bbox/{minx},{miny},{maxx},{maxy}[/{width}x{height}].{format} image/bin Create an image from part of a dataset OPTIONAL POST /feature[/{width}x{height}][.{format}] image/bin Create an image from a GeoJSON feature OPTIONAL","title":"Mosaics: titiler.pgstac.factory.MosaicTilerFactory"},{"location":"tiler_factories/#extensions","text":"","title":"Extensions"},{"location":"tiler_factories/#searchinfoextension","text":"Method URL Output Description GET /info JSON ( Infos ) Return list of Search entries with Mosaic type OPTIONAL app = FastAPI () mosaic = MosaicTilerFactory ( path_dependency = lambda : \"aaaaaaaaaaaaaaaaaaaaa\" , extensions = [ searchInfoExtension (), ], ) app . include_router ( mosaic . router )","title":"searchInfoExtension"},{"location":"tiler_factories/#register-and-list","text":"Method URL Output Description POST /register JSON ( Register ) Register Search query OPTIONAL GET /list JSON ( Info ) Return Search query infos OPTIONAL app = FastAPI () mosaic = MosaicTilerFactory ( path_dependency = lambda : \"aaaaaaaaaaaaaaaaaaaaa\" , ) app . include_router ( mosaic . router ) add_search_register_route ( app ) add_search_list_route ( app )","title":"register and list"},{"location":"tiler_factories/#items-titilercorefactorymultibasetilerfactory","text":"For the single STAC item endpoints we use TiTiler's MultiBaseTilerFactory with a custom path_dependency to use item_id and collection_id path parameter (instead of the default url query param). This custom path_dependency will connect to PgSTAC directly to fetch the STAC Item and pass it to a custom Reader . # Minimal PgSTAC Item Application from contextlib import asynccontextmanager from fastapi import FastAPI from titiler.core.factory import MultiBaseTilerFactory from titiler.pgstac.db import close_db_connection , connect_to_db from titiler.pgstac.dependencies import ItemPathParams from titiler.pgstac.reader import PgSTACReader @asynccontextmanager async def lifespan ( app : FastAPI ): \"\"\"FastAPI Lifespan.\"\"\" # Create Connection Pool await connect_to_db ( app ) yield # Close the Connection Pool await close_db_connection ( app ) app = FastAPI ( lifespan = lifespan ) item = MultiBaseTilerFactory ( reader = PgSTACReader , path_dependency = ItemPathParams , router_prefix = \"/collections/ {collection_id} /items/ {item_id} \" , ) app . include_router ( item . router , prefix = \"/collections/ {collection_id} /items/ {item_id} \" )","title":"Items: titiler.core.factory.MultiBaseTilerFactory"},{"location":"advanced/custom_search/","text":"Even though TiTiler.PgSTAC includes default FastAPI application, it also can be used like a library if you want to extend or override default behavior. Let's look at one such example. Imagine that we use JSON Web Token (JWT) based approach for authorization and every token contains information about area a user has access to: { \"sub\" : \"1234567890\" , \"name\" : \"John Doe\" , \"iat\" : 1516239022 , \"scope\" : \"zone_A\" } We want our application to take this information into account while registering a search query. It can be done in the following way: from contextlib import asynccontextmanager from typing import Tuple import json import jwt from fastapi import FastAPI from fastapi.security.utils import get_authorization_scheme_param from starlette.requests import Request from titiler.pgstac.factory import MosaicTilerFactory , add_search_register_route from titiler.pgstac.model import RegisterMosaic , Metadata , PgSTACSearch from titiler.pgstac.db import close_db_connection , connect_to_db from titiler.pgstac.extensions import searchInfoExtension @asynccontextmanager async def lifespan ( app : FastAPI ): \"\"\"FastAPI Lifespan.\"\"\" # Create Connection Pool await connect_to_db ( app , settings = postgres_settings ) yield # Close the Connection Pool await close_db_connection ( app ) app = FastAPI ( lifespan = lifespan ) AREAS = { \"zone_A\" : { \"type\" : \"Point\" , \"coordinates\" : [ - 41.93 , - 12.76 ]}, \"zone_B\" : { \"type\" : \"Point\" , \"coordinates\" : [ 2.15 , 41.39 ]}, } def search_factory ( request : Request , body : RegisterMosaic ) -> Tuple [ PgSTACSearch , Metadata ]: authorization = request . headers . get ( \"Authorization\" ) scheme , token = get_authorization_scheme_param ( authorization ) payload = jwt . decode ( token , algorithms = [ \"HS256\" ], key = \"your-256-bit-secret\" ) search = body . dict ( exclude_none = True , exclude = { \"metadata\" }, by_alias = True ) search [ \"filter\" ] = { \"op\" : \"and\" , \"args\" : [ { \"op\" : \"s_intersects\" , \"args\" : [{ \"property\" : \"geometry\" }, AREAS [ payload [ \"scope\" ]]], }, search [ \"filter\" ], ], } return model . PgSTACSearch ( ** search ), body . metadata mosaic = MosaicTilerFactory ( extensions = [ searchInfoExtension ] ) app . include_router ( mosaic . router ) add_search_register_route ( app , search_dependency = search_factory ) Checking: $ curl -s -X 'POST' \\ 'http://localhost:8081/register' \\ -H 'accept: application/json' \\ -H 'Authorization: Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiIxMjM0NTY3ODkwIiwibmFtZSI6IkpvaG4gRG9lIiwiaWF0IjoxNTE2MjM5MDIyLCJzY29wZSI6InpvbmVfQSJ9.BelzluX7v7kYObix2KSyy1T5gEOQYQn_pyNO5Ri0gWo' \\ -H 'Content-Type: application/json' \\ -d '{\"filter\":{\"op\":\"and\",\"args\":[{\"op\":\"=\",\"args\":[{\"property\":\"collection\"},\"l1\"]}]}}' | jq '.id' \"bbc3c8f4c392436f74de6cd0308469f6\" $ curl -X 'GET' \\ 'http://localhost:8081/bbc3c8f4c392436f74de6cd0308469f6/info' \\ -H 'accept: application/json' { \"hash\" : \"bbc3c8f4c392436f74de6cd0308469f6\" , \"search\" : { \"filter\" : { \"op\" : \"and\" , \"args\" : [{ \"op\" : \"s_intersects\" , \"args\" : [{ \"property\" : \"geometry\" } , { \"type\" : \"Point\" , \"coordinates\" : [ -41.93,-12.76 ]}]} , { \"op\" : \"and\" , \"args\" : [{ \"op\" : \"=\" , \"args\" : [{ \"property\" : \"collection\" } , \"l1\" ]}]}]}} , \"_where\" : \"( ( st_intersects(geometry, '0101000020E6100000D7A3703D0AF744C085EB51B81E8529C0'::geometry) and ( (collection_id = 'l1') ) ) ) \" , \"orderby\" : \"datetime DESC, id DESC\" , \"lastused\" : \"2022-02-23T13:00:04.090757+00:00\" , \"usecount\" :3, \"metadata\" : { \"type\" : \"mosaic\" }}","title":"Custom search model"},{"location":"advanced/custom_tilejson/","text":"Goal: enable users to select a predefined configuration stored in the mosaic Metadata. import sys from typing import Optional from dataclasses import dataclass from morecantile import TileMatrixSet from titiler.core.resources.enums import ImageType from titiler.core.models.mapbox import TileJSON from titiler.pgstac import factory as TitilerPgSTACFactory from titiler.pgstac.dependencies import PgSTACParams from typing_extensions import Annotated from fastapi import Depends , Query from starlette.requests import Request @dataclass class MosaicTilerFactory ( TitilerPgSTACFactory . MosaicTilerFactory ): \"\"\"Custom factory.\"\"\" def _tilejson_routes ( self ) -> None : \"\"\"Custom TileJSON endpoint.\"\"\" @self . router . get ( \"/tilejson.json\" , response_model = TileJSON , responses = { 200 : { \"description\" : \"Return a tilejson\" }}, response_model_exclude_none = True , ) @self . router . get ( \"/ {tileMatrixSetId} /tilejson.json\" , response_model = TileJSON , responses = { 200 : { \"description\" : \"Return a tilejson\" }}, response_model_exclude_none = True , ) def tilejson ( request : Request , search_id = Depends ( self . path_dependency ), tileMatrixSetId : Annotated [ # type: ignore Literal [ tuple ( self . supported_tms . list ())], f \"Identifier selecting one of the TileMatrixSetId supported (default: ' { self . default_tms } ')\" , ] = self . default_tms , layer : Annotated [ str , Query ( description = \"Name of default configuration\" ), ] = None , tile_format : Annotated [ Optional [ ImageType ], Query ( description = \"Default will be automatically defined if the output image needs a mask (png) or not (jpeg).\" , ), ] = None , tile_scale : Annotated [ Optional [ int ], Query ( gt = 0 , lt = 4 , description = \"Tile size scale. 1=256x256, 2=512x512...\" ), ] = None , minzoom : Annotated [ Optional [ int ], Query ( description = \"Overwrite default minzoom.\" ), ] = None , maxzoom : Annotated [ Optional [ int ], Query ( description = \"Overwrite default maxzoom.\" ), ] = None , layer_params = Depends ( self . layer_dependency ), dataset_params = Depends ( self . dataset_dependency ), pixel_selection = Depends ( self . pixel_selection_dependency ), buffer : Annotated [ Optional [ float ], Query ( gt = 0 , title = \"Tile buffer.\" , description = \"Buffer on each side of the given tile. It must be a multiple of `0.5`. Output **tilesize** will be expanded to `tilesize + 2 * buffer` (e.g 0.5 = 257x257, 1.0 = 258x258).\" , ), ] = None , post_process = Depends ( self . process_dependency ), rescale = Depends ( self . rescale_dependency ), color_formula : Annotated [ Optional [ str ], Query ( title = \"Color Formula\" , description = \"rio-color formula (info: https://github.com/mapbox/rio-color)\" , ), ] = None , colormap = Depends ( self . colormap_dependency ), render_params = Depends ( self . render_dependency ), pgstac_params : PgSTACParams = Depends (), backend_params = Depends ( self . backend_dependency ), reader_params = Depends ( self . reader_dependency ), ): \"\"\"Return TileJSON document for a SearchId.\"\"\" with request . app . state . dbpool . connection () as conn : with conn . cursor ( row_factory = class_row ( model . Search )) as cursor : cursor . execute ( \"SELECT * FROM searches WHERE hash= %s ;\" , ( search_id ,), ) search_info = cursor . fetchone () if not search_info : raise KeyError ( f \"search { search_id } not found\" ) route_params = { \"search_id\" : search_info . id , \"z\" : \" {z} \" , \"x\" : \" {x} \" , \"y\" : \" {y} \" , \"tileMatrixSetId\" : tileMatrixSetId , } if tile_scale : route_params [ \"scale\" ] = tile_scale if tile_format : route_params [ \"format\" ] = tile_format . value tiles_url = self . url_for ( request , \"tile\" , ** route_params ) qs_key_to_remove = [ \"tilematrixsetid\" , \"tile_format\" , \"tile_scale\" , \"minzoom\" , \"maxzoom\" , \"layer\" , ] qs = [ ( key , value ) for ( key , value ) in request . query_params . _list if key . lower () not in qs_key_to_remove ] if layer : config = search_info . defaults . get ( layer ) if not config : raise HTTPException ( status_code = 404 , detail = f \"Invalid { layer } configuration.\" ) # This assume the default configuration follows the endpoint expected format # as `\"true_color\": [(\"assets\", \"B4\"), (\"assets\", \"B3\"), (\"assets\", \"B2\")]` qs = QueryParams ( config ) if qs : tiles_url += f \"? { urlencode ( qs ) } \" minzoom = _first_value ([ minzoom , search_info . metadata . minzoom ], tms . minzoom ) maxzoom = _first_value ([ maxzoom , search_info . metadata . maxzoom ], tms . maxzoom ) bounds = _first_value ( [ search_info . input_search . get ( \"bbox\" ), search_info . metadata . bounds ], tms . bbox , ) return { \"bounds\" : bounds , \"minzoom\" : minzoom , \"maxzoom\" : maxzoom , \"name\" : search_info . metadata . name or search_info . id , \"tiles\" : [ tiles_url ], }","title":"Custom TileJSON endpoint"},{"location":"advanced/metadata/","text":"TiTiler-PgSTAC uses PgSTAC search to host mosaic parameters for performance purposes. To help users we added the possibility to add metadata to search entries and in TiTiler-PgSTAC we introduced a non-official specification to help user storing meaningful information. Specification \u00b6 { // OPTIONAL. Default: \"mosaic\" (No other value accepted for now). Describe the `type` of metadata. \"type\" : \"mosaic\" , // OPTIONAL. Default: null. // The maximum extent of available map tiles. The bounds are represented in WGS:84 // latitude and longitude values, in the order left, bottom, right, top. // Values may be integers or floating point numbers. \"bounds\" : [ - 180 , - 85.05112877980659 , 180 , 85.0511287798066 ], // OPTIONAL. Default: null. // An integer specifying the minimum zoom level. \"minzoom\" : 0 , // OPTIONAL. Default: null. // An integer specifying the maximum zoom level. MUST be >= minzoom. \"maxzoom\" : 11 , // OPTIONAL. Default: null. The name can contain any legal character. \"name\" : \"compositing\" , // OPTIONAL. Default: null. An array of available assets. \"assets\" : [ \"image\" , \"cog\" ], // OPTIONAL. Default: null. A set of `defaults` configuration to be forwarded to the /tiles endpoints. \"defaults\" : { \"true_color\" : { \"assets\" : [ \"B4\" , \"B3\" , \"B2\" ], \"color_formula\" : \"Gamma RGB 3.5 Saturation 1.7 Sigmoidal RGB 15 0.35\" , }, \"ndvi\" : { \"expression\" : \"(B4-B3)/(B4+B3)\" , \"rescale\" : \"-1,1\" , \"colormap_name\" : \"viridis\" } } } Important When using the /searches/register endpoint, {\"type\": \"mosaic\"} will be set by default All metadata fields are optional and custom fields are also allowed. curl -X 'POST' 'http://127.0.0.1:8081/searches/register' -H 'accept: application/json' -H 'Content-Type: application/json' -d '{\"filter\": {\"op\": \"=\", \"args\": [{\"property\": \"collection\"}, \"landsat-c2l2-sr\"]}, \"metadata\": {\"name\": \"landsat mosaic\"}}' >> { \"id\": \"d7fcdefd0457c949ea7a6192bc2c7122\", \"links\": [ { \"rel\": \"metadata\", \"type\": \"application/json\", \"href\": \"http://127.0.0.1:8081/searches/d7fcdefd0457c949ea7a6192bc2c7122/info\" }, { \"rel\": \"tilejson\", \"type\": \"application/json\", \"href\": \"http://127.0.0.1:8081/searches/d7fcdefd0457c949ea7a6192bc2c7122/tilejson.json\" } ] } curl http://127.0.0.1:8081/searches/d7fcdefd0457c949ea7a6192bc2c7122/info | jq '.search.metadata' >> { \"type\": \"mosaic\", \"name\": \"landsat mosaic\" } curl -X 'POST' 'http://127.0.0.1:8081/searches/register' -H 'accept: application/json' -H 'Content-Type: application/json' -d '{\"collections\": [\"noaa-emergency-response\"], \"bbox\": [-87.0251, 36.0999, -85.4249, 36.2251], \"filter-lang\": \"cql-json\", \"metadata\": {\"bounds\": [-87.0251, 36.0999, -85.4249, 36.2251], \"minzoom\": 14, \"maxzoom\": 18, \"assets\": [\"cog\"], \"defaults\": {\"true_color\": {\"bidx\": [1, 2, 3]}}}}' >> { \"id\":\"4b0db3dbd1858d54a3a55f84de97d1ca\", \"links\":[ { \"rel\": \"metadata\", \"type\": \"application/json\", \"href\": \"http://127.0.0.1:8081/searches/4b0db3dbd1858d54a3a55f84de97d1ca/info\" }, { \"rel\": \"tilejson\", \"type\": \"application/json\", \"href\": \"http://127.0.0.1:8081/searches/4b0db3dbd1858d54a3a55f84de97d1ca/tilejson.json\" } ] } curl http://127.0.0.1:8081/searches/4b0db3dbd1858d54a3a55f84de97d1ca/info | jq '.search.metadata' >> { \"type\": \"mosaic\", \"bounds\": [ -87.0251, 36.0999, -85.4249, 36.2251 ], \"minzoom\": 14, \"maxzoom\": 18, \"assets\": [ \"cog\" ], \"defaults\": { \"true_color\": { \"bidx\": [ 1, 2, 3 ] } } }","title":"Mosaic metadata specification"},{"location":"advanced/metadata/#specification","text":"{ // OPTIONAL. Default: \"mosaic\" (No other value accepted for now). Describe the `type` of metadata. \"type\" : \"mosaic\" , // OPTIONAL. Default: null. // The maximum extent of available map tiles. The bounds are represented in WGS:84 // latitude and longitude values, in the order left, bottom, right, top. // Values may be integers or floating point numbers. \"bounds\" : [ - 180 , - 85.05112877980659 , 180 , 85.0511287798066 ], // OPTIONAL. Default: null. // An integer specifying the minimum zoom level. \"minzoom\" : 0 , // OPTIONAL. Default: null. // An integer specifying the maximum zoom level. MUST be >= minzoom. \"maxzoom\" : 11 , // OPTIONAL. Default: null. The name can contain any legal character. \"name\" : \"compositing\" , // OPTIONAL. Default: null. An array of available assets. \"assets\" : [ \"image\" , \"cog\" ], // OPTIONAL. Default: null. A set of `defaults` configuration to be forwarded to the /tiles endpoints. \"defaults\" : { \"true_color\" : { \"assets\" : [ \"B4\" , \"B3\" , \"B2\" ], \"color_formula\" : \"Gamma RGB 3.5 Saturation 1.7 Sigmoidal RGB 15 0.35\" , }, \"ndvi\" : { \"expression\" : \"(B4-B3)/(B4+B3)\" , \"rescale\" : \"-1,1\" , \"colormap_name\" : \"viridis\" } } } Important When using the /searches/register endpoint, {\"type\": \"mosaic\"} will be set by default All metadata fields are optional and custom fields are also allowed. curl -X 'POST' 'http://127.0.0.1:8081/searches/register' -H 'accept: application/json' -H 'Content-Type: application/json' -d '{\"filter\": {\"op\": \"=\", \"args\": [{\"property\": \"collection\"}, \"landsat-c2l2-sr\"]}, \"metadata\": {\"name\": \"landsat mosaic\"}}' >> { \"id\": \"d7fcdefd0457c949ea7a6192bc2c7122\", \"links\": [ { \"rel\": \"metadata\", \"type\": \"application/json\", \"href\": \"http://127.0.0.1:8081/searches/d7fcdefd0457c949ea7a6192bc2c7122/info\" }, { \"rel\": \"tilejson\", \"type\": \"application/json\", \"href\": \"http://127.0.0.1:8081/searches/d7fcdefd0457c949ea7a6192bc2c7122/tilejson.json\" } ] } curl http://127.0.0.1:8081/searches/d7fcdefd0457c949ea7a6192bc2c7122/info | jq '.search.metadata' >> { \"type\": \"mosaic\", \"name\": \"landsat mosaic\" } curl -X 'POST' 'http://127.0.0.1:8081/searches/register' -H 'accept: application/json' -H 'Content-Type: application/json' -d '{\"collections\": [\"noaa-emergency-response\"], \"bbox\": [-87.0251, 36.0999, -85.4249, 36.2251], \"filter-lang\": \"cql-json\", \"metadata\": {\"bounds\": [-87.0251, 36.0999, -85.4249, 36.2251], \"minzoom\": 14, \"maxzoom\": 18, \"assets\": [\"cog\"], \"defaults\": {\"true_color\": {\"bidx\": [1, 2, 3]}}}}' >> { \"id\":\"4b0db3dbd1858d54a3a55f84de97d1ca\", \"links\":[ { \"rel\": \"metadata\", \"type\": \"application/json\", \"href\": \"http://127.0.0.1:8081/searches/4b0db3dbd1858d54a3a55f84de97d1ca/info\" }, { \"rel\": \"tilejson\", \"type\": \"application/json\", \"href\": \"http://127.0.0.1:8081/searches/4b0db3dbd1858d54a3a55f84de97d1ca/tilejson.json\" } ] } curl http://127.0.0.1:8081/searches/4b0db3dbd1858d54a3a55f84de97d1ca/info | jq '.search.metadata' >> { \"type\": \"mosaic\", \"bounds\": [ -87.0251, 36.0999, -85.4249, 36.2251 ], \"minzoom\": 14, \"maxzoom\": 18, \"assets\": [ \"cog\" ], \"defaults\": { \"true_color\": { \"bidx\": [ 1, 2, 3 ] } } }","title":"Specification"},{"location":"advanced/searches_list/","text":"Starting with titiler-pgstac>=0.2.0 , we've added a /searches/list endpoint to be able to list all registered mosaics. When we add a mosaic via /searches/register we add a specific metadata.type: \"mosaic\" to the pgstac search entry, which is then used by the /searches/list endpoint to filter the pgstac searches . In order to make the mosaic list performant, users might want to alter their PgSTAC database to add an index $ psql postgis =# SET schema 'pgstac' ; >> SET postgis =# CREATE INDEX IF NOT EXISTS searches_mosaic ON searches (( true )) WHERE metadata ->> 'type' = 'mosaic' ; >> NOTICE : relation \"searches_mosaic\" already exists , skipping >> CREATE INDEX postgis =# SELECT indexname , indexdef FROM pg_indexes WHERE tablename = 'searches' ; >> indexname | indexdef >> -----------------+--------------------------------------------------------------------------------------------------------------------------- >> searches_pkey | CREATE UNIQUE INDEX searches_pkey ON pgstac . searches USING btree ( hash ) >> searches_mosaic | CREATE INDEX searches_mosaic ON pgstac . searches USING btree (( true )) WHERE (( metadata ->> 'type' :: text ) = 'mosaic' :: text ) ref: github.com/developmentseed/eoAPI/blob/master/stack/handlers/db_handler.py#L204-L213","title":"Mosaic list"},{"location":"api/titiler/pgstac/db/","text":"Module titiler.pgstac.db \u00b6 Database connection handling. Functions \u00b6 close_db_connection \u00b6 def close_db_connection ( app : fastapi . applications . FastAPI ) -> None Close Pool. connect_to_db \u00b6 def connect_to_db ( app : fastapi . applications . FastAPI , settings : Union [ titiler . pgstac . settings . PostgresSettings , NoneType ] = None ) -> None Connect to Database.","title":"db"},{"location":"api/titiler/pgstac/db/#module-titilerpgstacdb","text":"Database connection handling.","title":"Module titiler.pgstac.db"},{"location":"api/titiler/pgstac/db/#functions","text":"","title":"Functions"},{"location":"api/titiler/pgstac/db/#close_db_connection","text":"def close_db_connection ( app : fastapi . applications . FastAPI ) -> None Close Pool.","title":"close_db_connection"},{"location":"api/titiler/pgstac/db/#connect_to_db","text":"def connect_to_db ( app : fastapi . applications . FastAPI , settings : Union [ titiler . pgstac . settings . PostgresSettings , NoneType ] = None ) -> None Connect to Database.","title":"connect_to_db"},{"location":"api/titiler/pgstac/dependencies/","text":"Module titiler.pgstac.dependencies \u00b6 titiler-pgstac dependencies. Variables \u00b6 cache_config retry_config Functions \u00b6 CollectionIdParams \u00b6 def CollectionIdParams ( request : starlette . requests . Request , collection_id : typing_extensions . Annotated [ str , Path ( PydanticUndefined )] ) -> str collection_id Path Parameter ItemIdParams \u00b6 def ItemIdParams ( request : starlette . requests . Request , collection_id : typing_extensions . Annotated [ str , Path ( PydanticUndefined )], item_id : typing_extensions . Annotated [ str , Path ( PydanticUndefined )] ) -> pystac . item . Item STAC Item dependency. SearchIdParams \u00b6 def SearchIdParams ( search_id : typing_extensions . Annotated [ str , Path ( PydanticUndefined )] ) -> str search_id SearchParams \u00b6 def SearchParams ( body : titiler . pgstac . model . RegisterMosaic ) -> Tuple [ titiler . pgstac . model . PgSTACSearch , titiler . pgstac . model . Metadata ] Search parameters. TmsTileParams \u00b6 def TmsTileParams ( z : typing_extensions . Annotated [ int , Path ( PydanticUndefined )], x : typing_extensions . Annotated [ int , Path ( PydanticUndefined )], y : typing_extensions . Annotated [ int , Path ( PydanticUndefined )] ) -> morecantile . commons . Tile TileMatrixSet Tile parameters. Classes \u00b6 BackendParams \u00b6 class BackendParams ( request : starlette . requests . Request ) backend parameters. Ancestors (in MRO) \u00b6 titiler.core.dependencies.DefaultDependency Methods \u00b6 keys \u00b6 def keys ( self ) Return Keys. PgSTACParams \u00b6 class PgSTACParams ( scan_limit : typing_extensions . Annotated [ Union [ int , NoneType ], Query ( PydanticUndefined )] = None , items_limit : typing_extensions . Annotated [ Union [ int , NoneType ], Query ( PydanticUndefined )] = None , time_limit : typing_extensions . Annotated [ Union [ int , NoneType ], Query ( PydanticUndefined )] = None , exitwhenfull : typing_extensions . Annotated [ Union [ bool , NoneType ], Query ( PydanticUndefined )] = None , skipcovered : typing_extensions . Annotated [ Union [ bool , NoneType ], Query ( PydanticUndefined )] = None ) PgSTAC parameters. Ancestors (in MRO) \u00b6 titiler.core.dependencies.DefaultDependency Class variables \u00b6 exitwhenfull items_limit scan_limit skipcovered time_limit Methods \u00b6 keys \u00b6 def keys ( self ) Return Keys.","title":"dependencies"},{"location":"api/titiler/pgstac/dependencies/#module-titilerpgstacdependencies","text":"titiler-pgstac dependencies.","title":"Module titiler.pgstac.dependencies"},{"location":"api/titiler/pgstac/dependencies/#variables","text":"cache_config retry_config","title":"Variables"},{"location":"api/titiler/pgstac/dependencies/#functions","text":"","title":"Functions"},{"location":"api/titiler/pgstac/dependencies/#collectionidparams","text":"def CollectionIdParams ( request : starlette . requests . Request , collection_id : typing_extensions . Annotated [ str , Path ( PydanticUndefined )] ) -> str collection_id Path Parameter","title":"CollectionIdParams"},{"location":"api/titiler/pgstac/dependencies/#itemidparams","text":"def ItemIdParams ( request : starlette . requests . Request , collection_id : typing_extensions . Annotated [ str , Path ( PydanticUndefined )], item_id : typing_extensions . Annotated [ str , Path ( PydanticUndefined )] ) -> pystac . item . Item STAC Item dependency.","title":"ItemIdParams"},{"location":"api/titiler/pgstac/dependencies/#searchidparams","text":"def SearchIdParams ( search_id : typing_extensions . Annotated [ str , Path ( PydanticUndefined )] ) -> str search_id","title":"SearchIdParams"},{"location":"api/titiler/pgstac/dependencies/#searchparams","text":"def SearchParams ( body : titiler . pgstac . model . RegisterMosaic ) -> Tuple [ titiler . pgstac . model . PgSTACSearch , titiler . pgstac . model . Metadata ] Search parameters.","title":"SearchParams"},{"location":"api/titiler/pgstac/dependencies/#tmstileparams","text":"def TmsTileParams ( z : typing_extensions . Annotated [ int , Path ( PydanticUndefined )], x : typing_extensions . Annotated [ int , Path ( PydanticUndefined )], y : typing_extensions . Annotated [ int , Path ( PydanticUndefined )] ) -> morecantile . commons . Tile TileMatrixSet Tile parameters.","title":"TmsTileParams"},{"location":"api/titiler/pgstac/dependencies/#classes","text":"","title":"Classes"},{"location":"api/titiler/pgstac/dependencies/#backendparams","text":"class BackendParams ( request : starlette . requests . Request ) backend parameters.","title":"BackendParams"},{"location":"api/titiler/pgstac/dependencies/#ancestors-in-mro","text":"titiler.core.dependencies.DefaultDependency","title":"Ancestors (in MRO)"},{"location":"api/titiler/pgstac/dependencies/#methods","text":"","title":"Methods"},{"location":"api/titiler/pgstac/dependencies/#keys","text":"def keys ( self ) Return Keys.","title":"keys"},{"location":"api/titiler/pgstac/dependencies/#pgstacparams","text":"class PgSTACParams ( scan_limit : typing_extensions . Annotated [ Union [ int , NoneType ], Query ( PydanticUndefined )] = None , items_limit : typing_extensions . Annotated [ Union [ int , NoneType ], Query ( PydanticUndefined )] = None , time_limit : typing_extensions . Annotated [ Union [ int , NoneType ], Query ( PydanticUndefined )] = None , exitwhenfull : typing_extensions . Annotated [ Union [ bool , NoneType ], Query ( PydanticUndefined )] = None , skipcovered : typing_extensions . Annotated [ Union [ bool , NoneType ], Query ( PydanticUndefined )] = None ) PgSTAC parameters.","title":"PgSTACParams"},{"location":"api/titiler/pgstac/dependencies/#ancestors-in-mro_1","text":"titiler.core.dependencies.DefaultDependency","title":"Ancestors (in MRO)"},{"location":"api/titiler/pgstac/dependencies/#class-variables","text":"exitwhenfull items_limit scan_limit skipcovered time_limit","title":"Class variables"},{"location":"api/titiler/pgstac/dependencies/#methods_1","text":"","title":"Methods"},{"location":"api/titiler/pgstac/dependencies/#keys_1","text":"def keys ( self ) Return Keys.","title":"keys"},{"location":"api/titiler/pgstac/extensions/","text":"Module titiler.pgstac.extensions \u00b6 titiler.pgstac extensions. Classes \u00b6 searchInfoExtension \u00b6 class searchInfoExtension ( ) Add /info endpoint Ancestors (in MRO) \u00b6 titiler.core.factory.FactoryExtension Methods \u00b6 register \u00b6 def register ( self , factory : titiler . pgstac . factory . MosaicTilerFactory ) Register endpoint to the tiler factory.","title":"extensions"},{"location":"api/titiler/pgstac/extensions/#module-titilerpgstacextensions","text":"titiler.pgstac extensions.","title":"Module titiler.pgstac.extensions"},{"location":"api/titiler/pgstac/extensions/#classes","text":"","title":"Classes"},{"location":"api/titiler/pgstac/extensions/#searchinfoextension","text":"class searchInfoExtension ( ) Add /info endpoint","title":"searchInfoExtension"},{"location":"api/titiler/pgstac/extensions/#ancestors-in-mro","text":"titiler.core.factory.FactoryExtension","title":"Ancestors (in MRO)"},{"location":"api/titiler/pgstac/extensions/#methods","text":"","title":"Methods"},{"location":"api/titiler/pgstac/extensions/#register","text":"def register ( self , factory : titiler . pgstac . factory . MosaicTilerFactory ) Register endpoint to the tiler factory.","title":"register"},{"location":"api/titiler/pgstac/factory/","text":"Module titiler.pgstac.factory \u00b6 Custom MosaicTiler Factory for PgSTAC Mosaic Backend. Variables \u00b6 DEFAULT_TEMPLATES MAX_THREADS MOSAIC_STRICT_ZOOM MOSAIC_THREADS WGS84_CRS img_endpoint_params Functions \u00b6 add_search_list_route \u00b6 def add_search_list_route ( app : fastapi . applications . FastAPI , * , prefix : str = '' , tags : Union [ List [ str ], NoneType ] = None ) Add PgSTAC Search (of type mosaic) listing route. add_search_register_route \u00b6 def add_search_register_route ( app : fastapi . applications . FastAPI , * , prefix : str = '' , search_dependency : Callable [ ... , Tuple [ titiler . pgstac . model . PgSTACSearch , titiler . pgstac . model . Metadata ]] = < function SearchParams at 0x7fcfded0a700 > , tile_dependencies : Union [ List [ Callable ], NoneType ] = None , tags : Union [ List [ str ], NoneType ] = None ) add /register route check_query_params \u00b6 def check_query_params ( * , dependencies : List [ Callable ], query_params : starlette . datastructures . QueryParams ) -> None Check QueryParams for Query dependency. get_dependant is used to get the query-parameters required by the callable we use request_params_to_args to construct arguments needed to call the callable we call the callable and catch any errors Important: We assume the callable in not a co-routine Classes \u00b6 MosaicTilerFactory \u00b6 class MosaicTilerFactory ( reader : Type [ cogeo_mosaic . backends . base . BaseBackend ] = < class ' titiler . pgstac . mosaic . PGSTACBackend '>, router : fastapi . routing . APIRouter = < factory > , path_dependency : Callable [ ... , str ] = < function DatasetPathParams at 0x7fcfd7b054c0 > , layer_dependency : Type [ titiler . core . dependencies . DefaultDependency ] = < class ' titiler . core . dependencies . AssetsBidxExprParams '>, dataset_dependency : Type [ titiler . core . dependencies . DefaultDependency ] = < class ' titiler . core . dependencies . DatasetParams '>, process_dependency : Callable [ ... , Union [ titiler . core . algorithm . base . BaseAlgorithm , NoneType ]] = < function Algorithms . dependency .< locals >. post_process at 0x7fcfd2907820 > , rescale_dependency : Callable [ ... , Union [ List [ Tuple [ float , ... ]], NoneType ]] = < function RescalingParams at 0x7fcfd7b05ee0 > , color_formula_dependency : Callable [ ... , Union [ str , NoneType ]] = < function ColorFormulaParams at 0x7fcfd2c2bc10 > , colormap_dependency : Callable [ ... , Union [ Dict [ int , Tuple [ int , int , int , int ]], Sequence [ Tuple [ Tuple [ Union [ float , int ], Union [ float , int ]], Tuple [ int , int , int , int ]]], NoneType ]] = < function create_colormap_dependency .< locals >. deps at 0x7fcfdb97d040 > , render_dependency : Type [ titiler . core . dependencies . DefaultDependency ] = < class ' titiler . core . dependencies . ImageRenderingParams '>, reader_dependency : Type [ titiler . core . dependencies . DefaultDependency ] = < class ' titiler . core . dependencies . DefaultDependency '>, environment_dependency : Callable [ ... , Dict ] = < function BaseTilerFactory .< lambda > at 0x7fcfd2907790 > , supported_tms : morecantile . defaults . TileMatrixSets = TileMatrixSets ( tms = { 'CDB1GlobalGrid' : PosixPath ( '/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/morecantile/data/CDB1GlobalGrid.json' ), 'CanadianNAD83_LCC' : PosixPath ( '/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/morecantile/data/CanadianNAD83_LCC.json' ), 'EuropeanETRS89_LAEAQuad' : PosixPath ( '/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/morecantile/data/EuropeanETRS89_LAEAQuad.json' ), 'GNOSISGlobalGrid' : PosixPath ( '/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/morecantile/data/GNOSISGlobalGrid.json' ), 'LINZAntarticaMapTilegrid' : PosixPath ( '/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/morecantile/data/LINZAntarticaMapTilegrid.json' ), 'NZTM2000Quad' : PosixPath ( '/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/morecantile/data/NZTM2000Quad.json' ), 'UPSAntarcticWGS84Quad' : PosixPath ( '/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/morecantile/data/UPSAntarcticWGS84Quad.json' ), 'UPSArcticWGS84Quad' : PosixPath ( '/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/morecantile/data/UPSArcticWGS84Quad.json' ), 'UTM31WGS84Quad' : PosixPath ( '/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/morecantile/data/UTM31WGS84Quad.json' ), 'WGS1984Quad' : PosixPath ( '/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/morecantile/data/WGS1984Quad.json' ), 'WebMercatorQuad' : < TileMatrixSet title = 'Google Maps Compatible for the World' id = 'WebMercatorQuad' crs = 'http://www.opengis.net/def/crs/EPSG/0/3857>, ' WorldCRS84Quad ': PosixPath(' / opt / hostedtoolcache / Python / 3.8.18 / x64 / lib / python3 .8 / site - packages / morecantile / data / WorldCRS84Quad . json '), ' WorldMercatorWGS84Quad ': PosixPath(' / opt / hostedtoolcache / Python / 3.8.18 / x64 / lib / python3 .8 / site - packages / morecantile / data / WorldMercatorWGS84Quad . json ')}), default_tms : str = 'WebMercatorQuad' , router_prefix : str = '' , optional_headers : List [ titiler . core . resources . enums . OptionalHeader ] = < factory > , route_dependencies : List [ Tuple [ List [ titiler . core . routing . EndpointScope ], List [ fastapi . params . Depends ]]] = < factory > , extensions : List [ titiler . core . factory . FactoryExtension ] = < factory > , templates : starlette . templating . Jinja2Templates = < starlette . templating . Jinja2Templates object at 0x7fcfdecd72e0 > , stats_dependency : Type [ titiler . core . dependencies . DefaultDependency ] = < class ' titiler . core . dependencies . StatisticsParams '>, histogram_dependency : Type [ titiler . core . dependencies . DefaultDependency ] = < class ' titiler . core . dependencies . HistogramParams '>, tile_dependency : Type [ titiler . core . dependencies . DefaultDependency ] = < class ' titiler . core . dependencies . TileParams '>, img_part_dependency : Type [ titiler . core . dependencies . DefaultDependency ] = < class ' titiler . core . dependencies . PartFeatureParams '>, pixel_selection_dependency : Callable [ ... , rio_tiler . mosaic . methods . base . MosaicMethodBase ] = < function PixelSelectionParams at 0x7fcfd2038ca0 > , pgstac_dependency : Type [ titiler . core . dependencies . DefaultDependency ] = < class ' titiler . pgstac . dependencies . PgSTACParams '>, backend_dependency : Type [ titiler . core . dependencies . DefaultDependency ] = < class ' titiler . pgstac . dependencies . BackendParams '>, add_statistics : bool = False , add_viewer : bool = False , add_part : bool = False ) Custom MosaicTiler for PgSTAC Mosaic Backend. Ancestors (in MRO) \u00b6 titiler.core.factory.BaseTilerFactory Class variables \u00b6 add_part add_statistics add_viewer backend_dependency dataset_dependency default_tms histogram_dependency img_part_dependency layer_dependency pgstac_dependency reader reader_dependency render_dependency router_prefix stats_dependency supported_tms templates tile_dependency Methods \u00b6 add_route_dependencies \u00b6 def add_route_dependencies ( self , * , scopes : List [ titiler . core . routing . EndpointScope ], dependencies = typing . List [ fastapi . params . Depends ] ) Add dependencies to routes. Allows a developer to add dependencies to a route after the route has been defined. color_formula_dependency \u00b6 def color_formula_dependency ( color_formula : typing_extensions . Annotated [ Union [ str , NoneType ], Query ( PydanticUndefined )] = None ) -> Union [ str , NoneType ] ColorFormula Parameter. colormap_dependency \u00b6 def colormap_dependency ( colormap_name : typing_extensions . Annotated [ Literal [ 'summer' , 'gist_ncar_r' , 'jet_r' , 'brg_r' , 'ocean_r' , 'rdylbu_r' , 'curl_r' , 'twilight_r' , 'flag_r' , 'rdylbu' , 'twilight_shifted' , 'turbid_r' , 'gist_stern_r' , 'set1' , 'brbg' , 'ylorbr_r' , 'viridis_r' , 'tab20_r' , 'tarn_r' , 'viridis' , 'amp_r' , 'pubugn' , 'bupu' , 'jet' , 'prism' , 'ylgnbu' , 'topo_r' , 'ice' , 'pubugn_r' , 'hot_r' , 'greys' , 'gist_rainbow_r' , 'reds_r' , 'greens' , 'autumn_r' , 'nipy_spectral' , 'cmrmap' , 'accent_r' , 'ylorrd' , 'greys_r' , 'terrain' , 'rainbow' , 'oxy_r' , 'autumn' , 'deep_r' , 'twilight' , 'pastel1' , 'ocean' , 'matter' , 'phase' , 'set3' , 'pink_r' , 'oranges_r' , 'tab10' , 'tab20c_r' , 'balance_r' , 'seismic' , 'set2' , 'dark2' , 'afmhot' , 'purd_r' , 'puor' , 'gnuplot_r' , 'paired' , 'turbo' , 'tab10_r' , 'coolwarm' , 'gnbu' , 'set1_r' , 'diff' , 'blues' , 'gist_earth_r' , 'solar_r' , 'tarn' , 'balance' , 'tempo_r' , 'ylorrd_r' , 'paired_r' , 'gist_heat_r' , 'plasma' , 'solar' , 'cubehelix' , 'gist_gray' , 'brbg_r' , 'magma_r' , 'deep' , 'binary' , 'purd' , 'magma' , 'diff_r' , 'cfastie' , 'wistia_r' , 'bupu_r' , 'twilight_shifted_r' , 'oranges' , 'gist_yarg' , 'prgn' , 'gist_ncar' , 'binary_r' , 'wistia' , 'ylgn_r' , 'greens_r' , 'blues_r' , 'gray' , 'turbid' , 'rplumbo' , 'dark2_r' , 'topo' , 'bwr' , 'delta' , 'speed_r' , 'speed' , 'gist_stern' , 'inferno_r' , 'puor_r' , 'pubu' , 'afmhot_r' , 'gnbu_r' , 'purples' , 'ice_r' , 'bugn_r' , 'orrd_r' , 'reds' , 'pastel2_r' , 'matter_r' , 'inferno' , 'gist_gray_r' , 'rdbu' , 'spectral_r' , 'seismic_r' , 'pink' , 'summer_r' , 'phase_r' , 'piyg' , 'copper_r' , 'spring_r' , 'algae_r' , 'rdylgn' , 'bugn' , 'gist_heat' , 'cubehelix_r' , 'cmrmap_r' , 'tab20' , 'rain' , 'rdylgn_r' , 'amp' , 'thermal' , 'ylorbr' , 'haline_r' , 'bone_r' , 'curl' , 'ylgn' , 'brg' , 'ylgnbu_r' , 'set2_r' , 'dense' , 'rdgy_r' , 'tab20b_r' , 'tab20c' , 'prism_r' , 'spring' , 'gnuplot' , 'pubu_r' , 'purples_r' , 'nipy_spectral_r' , 'copper' , 'prgn_r' , 'bone' , 'tab20b' , 'rdpu' , 'schwarzwald' , 'oxy' , 'terrain_r' , 'coolwarm_r' , 'cividis_r' , 'gist_yarg_r' , 'flag' , 'rdbu_r' , 'gist_rainbow' , 'rain_r' , 'cool_r' , 'spectral' , 'hsv' , 'cool' , 'thermal_r' , 'dense_r' , 'winter_r' , 'set3_r' , 'orrd' , 'plasma_r' , 'piyg_r' , 'gist_earth' , 'hot' , 'gnuplot2' , 'hsv_r' , 'algae' , 'pastel2' , 'rainbow_r' , 'gray_r' , 'tempo' , 'bwr_r' , 'rdpu_r' , 'pastel1_r' , 'winter' , 'accent' , 'gnuplot2_r' , 'turbo_r' , 'haline' , 'rdgy' , 'delta_r' , 'cividis' ], Query ( PydanticUndefined )] = None , colormap : typing_extensions . Annotated [ Union [ str , NoneType ], Query ( PydanticUndefined )] = None ) environment_dependency \u00b6 def environment_dependency ( ) path_dependency \u00b6 def path_dependency ( url : typing_extensions . Annotated [ str , Query ( PydanticUndefined )] ) -> str Create dataset path from args pixel_selection_dependency \u00b6 def pixel_selection_dependency ( pixel_selection : typing_extensions . Annotated [ Literal [ 'first' , 'highest' , 'lowest' , 'mean' , 'median' , 'stdev' , 'lastbandlow' , 'lastbandhight' ], Query ( PydanticUndefined )] = 'first' ) -> rio_tiler . mosaic . methods . base . MosaicMethodBase Returns the mosaic method used to combine datasets together. process_dependency \u00b6 def process_dependency ( algorithm : typing_extensions . Annotated [ Literal [ 'hillshade' , 'contours' , 'normalizedIndex' , 'terrarium' , 'terrainrgb' ], Query ( PydanticUndefined )] = None , algorithm_params : typing_extensions . Annotated [ Union [ str , NoneType ], Query ( PydanticUndefined )] = None ) -> Union [ titiler . core . algorithm . base . BaseAlgorithm , NoneType ] Data Post-Processing options. register_routes \u00b6 def register_routes ( self ) -> None This Method register routes to the router. rescale_dependency \u00b6 def rescale_dependency ( rescale : typing_extensions . Annotated [ Union [ List [ str ], NoneType ], Query ( PydanticUndefined )] = None ) -> Union [ List [ Tuple [ float , ... ]], NoneType ] Min/Max data Rescaling url_for \u00b6 def url_for ( self , request : starlette . requests . Request , name : str , ** path_params : Any ) -> str Return full url (with prefix) for a specific endpoint.","title":"factory"},{"location":"api/titiler/pgstac/factory/#module-titilerpgstacfactory","text":"Custom MosaicTiler Factory for PgSTAC Mosaic Backend.","title":"Module titiler.pgstac.factory"},{"location":"api/titiler/pgstac/factory/#variables","text":"DEFAULT_TEMPLATES MAX_THREADS MOSAIC_STRICT_ZOOM MOSAIC_THREADS WGS84_CRS img_endpoint_params","title":"Variables"},{"location":"api/titiler/pgstac/factory/#functions","text":"","title":"Functions"},{"location":"api/titiler/pgstac/factory/#add_search_list_route","text":"def add_search_list_route ( app : fastapi . applications . FastAPI , * , prefix : str = '' , tags : Union [ List [ str ], NoneType ] = None ) Add PgSTAC Search (of type mosaic) listing route.","title":"add_search_list_route"},{"location":"api/titiler/pgstac/factory/#add_search_register_route","text":"def add_search_register_route ( app : fastapi . applications . FastAPI , * , prefix : str = '' , search_dependency : Callable [ ... , Tuple [ titiler . pgstac . model . PgSTACSearch , titiler . pgstac . model . Metadata ]] = < function SearchParams at 0x7fcfded0a700 > , tile_dependencies : Union [ List [ Callable ], NoneType ] = None , tags : Union [ List [ str ], NoneType ] = None ) add /register route","title":"add_search_register_route"},{"location":"api/titiler/pgstac/factory/#check_query_params","text":"def check_query_params ( * , dependencies : List [ Callable ], query_params : starlette . datastructures . QueryParams ) -> None Check QueryParams for Query dependency. get_dependant is used to get the query-parameters required by the callable we use request_params_to_args to construct arguments needed to call the callable we call the callable and catch any errors Important: We assume the callable in not a co-routine","title":"check_query_params"},{"location":"api/titiler/pgstac/factory/#classes","text":"","title":"Classes"},{"location":"api/titiler/pgstac/factory/#mosaictilerfactory","text":"class MosaicTilerFactory ( reader : Type [ cogeo_mosaic . backends . base . BaseBackend ] = < class ' titiler . pgstac . mosaic . PGSTACBackend '>, router : fastapi . routing . APIRouter = < factory > , path_dependency : Callable [ ... , str ] = < function DatasetPathParams at 0x7fcfd7b054c0 > , layer_dependency : Type [ titiler . core . dependencies . DefaultDependency ] = < class ' titiler . core . dependencies . AssetsBidxExprParams '>, dataset_dependency : Type [ titiler . core . dependencies . DefaultDependency ] = < class ' titiler . core . dependencies . DatasetParams '>, process_dependency : Callable [ ... , Union [ titiler . core . algorithm . base . BaseAlgorithm , NoneType ]] = < function Algorithms . dependency .< locals >. post_process at 0x7fcfd2907820 > , rescale_dependency : Callable [ ... , Union [ List [ Tuple [ float , ... ]], NoneType ]] = < function RescalingParams at 0x7fcfd7b05ee0 > , color_formula_dependency : Callable [ ... , Union [ str , NoneType ]] = < function ColorFormulaParams at 0x7fcfd2c2bc10 > , colormap_dependency : Callable [ ... , Union [ Dict [ int , Tuple [ int , int , int , int ]], Sequence [ Tuple [ Tuple [ Union [ float , int ], Union [ float , int ]], Tuple [ int , int , int , int ]]], NoneType ]] = < function create_colormap_dependency .< locals >. deps at 0x7fcfdb97d040 > , render_dependency : Type [ titiler . core . dependencies . DefaultDependency ] = < class ' titiler . core . dependencies . ImageRenderingParams '>, reader_dependency : Type [ titiler . core . dependencies . DefaultDependency ] = < class ' titiler . core . dependencies . DefaultDependency '>, environment_dependency : Callable [ ... , Dict ] = < function BaseTilerFactory .< lambda > at 0x7fcfd2907790 > , supported_tms : morecantile . defaults . TileMatrixSets = TileMatrixSets ( tms = { 'CDB1GlobalGrid' : PosixPath ( '/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/morecantile/data/CDB1GlobalGrid.json' ), 'CanadianNAD83_LCC' : PosixPath ( '/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/morecantile/data/CanadianNAD83_LCC.json' ), 'EuropeanETRS89_LAEAQuad' : PosixPath ( '/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/morecantile/data/EuropeanETRS89_LAEAQuad.json' ), 'GNOSISGlobalGrid' : PosixPath ( '/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/morecantile/data/GNOSISGlobalGrid.json' ), 'LINZAntarticaMapTilegrid' : PosixPath ( '/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/morecantile/data/LINZAntarticaMapTilegrid.json' ), 'NZTM2000Quad' : PosixPath ( '/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/morecantile/data/NZTM2000Quad.json' ), 'UPSAntarcticWGS84Quad' : PosixPath ( '/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/morecantile/data/UPSAntarcticWGS84Quad.json' ), 'UPSArcticWGS84Quad' : PosixPath ( '/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/morecantile/data/UPSArcticWGS84Quad.json' ), 'UTM31WGS84Quad' : PosixPath ( '/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/morecantile/data/UTM31WGS84Quad.json' ), 'WGS1984Quad' : PosixPath ( '/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/morecantile/data/WGS1984Quad.json' ), 'WebMercatorQuad' : < TileMatrixSet title = 'Google Maps Compatible for the World' id = 'WebMercatorQuad' crs = 'http://www.opengis.net/def/crs/EPSG/0/3857>, ' WorldCRS84Quad ': PosixPath(' / opt / hostedtoolcache / Python / 3.8.18 / x64 / lib / python3 .8 / site - packages / morecantile / data / WorldCRS84Quad . json '), ' WorldMercatorWGS84Quad ': PosixPath(' / opt / hostedtoolcache / Python / 3.8.18 / x64 / lib / python3 .8 / site - packages / morecantile / data / WorldMercatorWGS84Quad . json ')}), default_tms : str = 'WebMercatorQuad' , router_prefix : str = '' , optional_headers : List [ titiler . core . resources . enums . OptionalHeader ] = < factory > , route_dependencies : List [ Tuple [ List [ titiler . core . routing . EndpointScope ], List [ fastapi . params . Depends ]]] = < factory > , extensions : List [ titiler . core . factory . FactoryExtension ] = < factory > , templates : starlette . templating . Jinja2Templates = < starlette . templating . Jinja2Templates object at 0x7fcfdecd72e0 > , stats_dependency : Type [ titiler . core . dependencies . DefaultDependency ] = < class ' titiler . core . dependencies . StatisticsParams '>, histogram_dependency : Type [ titiler . core . dependencies . DefaultDependency ] = < class ' titiler . core . dependencies . HistogramParams '>, tile_dependency : Type [ titiler . core . dependencies . DefaultDependency ] = < class ' titiler . core . dependencies . TileParams '>, img_part_dependency : Type [ titiler . core . dependencies . DefaultDependency ] = < class ' titiler . core . dependencies . PartFeatureParams '>, pixel_selection_dependency : Callable [ ... , rio_tiler . mosaic . methods . base . MosaicMethodBase ] = < function PixelSelectionParams at 0x7fcfd2038ca0 > , pgstac_dependency : Type [ titiler . core . dependencies . DefaultDependency ] = < class ' titiler . pgstac . dependencies . PgSTACParams '>, backend_dependency : Type [ titiler . core . dependencies . DefaultDependency ] = < class ' titiler . pgstac . dependencies . BackendParams '>, add_statistics : bool = False , add_viewer : bool = False , add_part : bool = False ) Custom MosaicTiler for PgSTAC Mosaic Backend.","title":"MosaicTilerFactory"},{"location":"api/titiler/pgstac/factory/#ancestors-in-mro","text":"titiler.core.factory.BaseTilerFactory","title":"Ancestors (in MRO)"},{"location":"api/titiler/pgstac/factory/#class-variables","text":"add_part add_statistics add_viewer backend_dependency dataset_dependency default_tms histogram_dependency img_part_dependency layer_dependency pgstac_dependency reader reader_dependency render_dependency router_prefix stats_dependency supported_tms templates tile_dependency","title":"Class variables"},{"location":"api/titiler/pgstac/factory/#methods","text":"","title":"Methods"},{"location":"api/titiler/pgstac/factory/#add_route_dependencies","text":"def add_route_dependencies ( self , * , scopes : List [ titiler . core . routing . EndpointScope ], dependencies = typing . List [ fastapi . params . Depends ] ) Add dependencies to routes. Allows a developer to add dependencies to a route after the route has been defined.","title":"add_route_dependencies"},{"location":"api/titiler/pgstac/factory/#color_formula_dependency","text":"def color_formula_dependency ( color_formula : typing_extensions . Annotated [ Union [ str , NoneType ], Query ( PydanticUndefined )] = None ) -> Union [ str , NoneType ] ColorFormula Parameter.","title":"color_formula_dependency"},{"location":"api/titiler/pgstac/factory/#colormap_dependency","text":"def colormap_dependency ( colormap_name : typing_extensions . Annotated [ Literal [ 'summer' , 'gist_ncar_r' , 'jet_r' , 'brg_r' , 'ocean_r' , 'rdylbu_r' , 'curl_r' , 'twilight_r' , 'flag_r' , 'rdylbu' , 'twilight_shifted' , 'turbid_r' , 'gist_stern_r' , 'set1' , 'brbg' , 'ylorbr_r' , 'viridis_r' , 'tab20_r' , 'tarn_r' , 'viridis' , 'amp_r' , 'pubugn' , 'bupu' , 'jet' , 'prism' , 'ylgnbu' , 'topo_r' , 'ice' , 'pubugn_r' , 'hot_r' , 'greys' , 'gist_rainbow_r' , 'reds_r' , 'greens' , 'autumn_r' , 'nipy_spectral' , 'cmrmap' , 'accent_r' , 'ylorrd' , 'greys_r' , 'terrain' , 'rainbow' , 'oxy_r' , 'autumn' , 'deep_r' , 'twilight' , 'pastel1' , 'ocean' , 'matter' , 'phase' , 'set3' , 'pink_r' , 'oranges_r' , 'tab10' , 'tab20c_r' , 'balance_r' , 'seismic' , 'set2' , 'dark2' , 'afmhot' , 'purd_r' , 'puor' , 'gnuplot_r' , 'paired' , 'turbo' , 'tab10_r' , 'coolwarm' , 'gnbu' , 'set1_r' , 'diff' , 'blues' , 'gist_earth_r' , 'solar_r' , 'tarn' , 'balance' , 'tempo_r' , 'ylorrd_r' , 'paired_r' , 'gist_heat_r' , 'plasma' , 'solar' , 'cubehelix' , 'gist_gray' , 'brbg_r' , 'magma_r' , 'deep' , 'binary' , 'purd' , 'magma' , 'diff_r' , 'cfastie' , 'wistia_r' , 'bupu_r' , 'twilight_shifted_r' , 'oranges' , 'gist_yarg' , 'prgn' , 'gist_ncar' , 'binary_r' , 'wistia' , 'ylgn_r' , 'greens_r' , 'blues_r' , 'gray' , 'turbid' , 'rplumbo' , 'dark2_r' , 'topo' , 'bwr' , 'delta' , 'speed_r' , 'speed' , 'gist_stern' , 'inferno_r' , 'puor_r' , 'pubu' , 'afmhot_r' , 'gnbu_r' , 'purples' , 'ice_r' , 'bugn_r' , 'orrd_r' , 'reds' , 'pastel2_r' , 'matter_r' , 'inferno' , 'gist_gray_r' , 'rdbu' , 'spectral_r' , 'seismic_r' , 'pink' , 'summer_r' , 'phase_r' , 'piyg' , 'copper_r' , 'spring_r' , 'algae_r' , 'rdylgn' , 'bugn' , 'gist_heat' , 'cubehelix_r' , 'cmrmap_r' , 'tab20' , 'rain' , 'rdylgn_r' , 'amp' , 'thermal' , 'ylorbr' , 'haline_r' , 'bone_r' , 'curl' , 'ylgn' , 'brg' , 'ylgnbu_r' , 'set2_r' , 'dense' , 'rdgy_r' , 'tab20b_r' , 'tab20c' , 'prism_r' , 'spring' , 'gnuplot' , 'pubu_r' , 'purples_r' , 'nipy_spectral_r' , 'copper' , 'prgn_r' , 'bone' , 'tab20b' , 'rdpu' , 'schwarzwald' , 'oxy' , 'terrain_r' , 'coolwarm_r' , 'cividis_r' , 'gist_yarg_r' , 'flag' , 'rdbu_r' , 'gist_rainbow' , 'rain_r' , 'cool_r' , 'spectral' , 'hsv' , 'cool' , 'thermal_r' , 'dense_r' , 'winter_r' , 'set3_r' , 'orrd' , 'plasma_r' , 'piyg_r' , 'gist_earth' , 'hot' , 'gnuplot2' , 'hsv_r' , 'algae' , 'pastel2' , 'rainbow_r' , 'gray_r' , 'tempo' , 'bwr_r' , 'rdpu_r' , 'pastel1_r' , 'winter' , 'accent' , 'gnuplot2_r' , 'turbo_r' , 'haline' , 'rdgy' , 'delta_r' , 'cividis' ], Query ( PydanticUndefined )] = None , colormap : typing_extensions . Annotated [ Union [ str , NoneType ], Query ( PydanticUndefined )] = None )","title":"colormap_dependency"},{"location":"api/titiler/pgstac/factory/#environment_dependency","text":"def environment_dependency ( )","title":"environment_dependency"},{"location":"api/titiler/pgstac/factory/#path_dependency","text":"def path_dependency ( url : typing_extensions . Annotated [ str , Query ( PydanticUndefined )] ) -> str Create dataset path from args","title":"path_dependency"},{"location":"api/titiler/pgstac/factory/#pixel_selection_dependency","text":"def pixel_selection_dependency ( pixel_selection : typing_extensions . Annotated [ Literal [ 'first' , 'highest' , 'lowest' , 'mean' , 'median' , 'stdev' , 'lastbandlow' , 'lastbandhight' ], Query ( PydanticUndefined )] = 'first' ) -> rio_tiler . mosaic . methods . base . MosaicMethodBase Returns the mosaic method used to combine datasets together.","title":"pixel_selection_dependency"},{"location":"api/titiler/pgstac/factory/#process_dependency","text":"def process_dependency ( algorithm : typing_extensions . Annotated [ Literal [ 'hillshade' , 'contours' , 'normalizedIndex' , 'terrarium' , 'terrainrgb' ], Query ( PydanticUndefined )] = None , algorithm_params : typing_extensions . Annotated [ Union [ str , NoneType ], Query ( PydanticUndefined )] = None ) -> Union [ titiler . core . algorithm . base . BaseAlgorithm , NoneType ] Data Post-Processing options.","title":"process_dependency"},{"location":"api/titiler/pgstac/factory/#register_routes","text":"def register_routes ( self ) -> None This Method register routes to the router.","title":"register_routes"},{"location":"api/titiler/pgstac/factory/#rescale_dependency","text":"def rescale_dependency ( rescale : typing_extensions . Annotated [ Union [ List [ str ], NoneType ], Query ( PydanticUndefined )] = None ) -> Union [ List [ Tuple [ float , ... ]], NoneType ] Min/Max data Rescaling","title":"rescale_dependency"},{"location":"api/titiler/pgstac/factory/#url_for","text":"def url_for ( self , request : starlette . requests . Request , name : str , ** path_params : Any ) -> str Return full url (with prefix) for a specific endpoint.","title":"url_for"},{"location":"api/titiler/pgstac/model/","text":"Module titiler.pgstac.model \u00b6 Titiler.pgstac models. Note: This is mostly a copy of github.com/stac-utils/stac-fastapi/blob/master/stac_fastapi/pgstac/stac_fastapi/pgstac/types/search.py Variables \u00b6 FilterLang Operator Classes \u00b6 Context \u00b6 class Context ( __pydantic_self__ , ** data : 'Any' ) Context Model. Ancestors (in MRO) \u00b6 pydantic.main.BaseModel Class variables \u00b6 model_config model_fields Static methods \u00b6 construct \u00b6 def construct ( _fields_set : 'set[str] | None' = None , ** values : 'Any' ) -> 'Model' from_orm \u00b6 def from_orm ( obj : 'Any' ) -> 'Model' model_construct \u00b6 def model_construct ( _fields_set : 'set[str] | None' = None , ** values : 'Any' ) -> 'Model' Creates a new instance of the Model class with validated data. Creates a new model setting __dict__ and __pydantic_fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed. Behaves as if Config.extra = 'allow' was set since it adds all passed values Parameters: Name Type Description Default _fields_set None The set of field names accepted for the Model instance. None values None Trusted or pre-validated data dictionary. None Returns: Type Description None A new instance of the Model class with validated data. model_json_schema \u00b6 def model_json_schema ( by_alias : 'bool' = True , ref_template : 'str' = '#/$defs/ {model} ' , schema_generator : 'type[GenerateJsonSchema]' = < class ' pydantic . json_schema . GenerateJsonSchema '>, mode : 'JsonSchemaMode' = 'validation' ) -> 'dict[str, Any]' Generates a JSON schema for a model class. Parameters: Name Type Description Default by_alias None Whether to use attribute aliases or not. None ref_template None The reference template. None schema_generator None To override the logic used to generate the JSON schema, as a subclass of GenerateJsonSchema with your desired modifications None mode None The mode in which to generate the schema. None Returns: Type Description None The JSON schema for the given model class. model_parametrized_name \u00b6 def model_parametrized_name ( params : 'tuple[type[Any], ...]' ) -> 'str' Compute the class name for parametrizations of generic classes. This method can be overridden to achieve a custom naming scheme for generic BaseModels. Parameters: Name Type Description Default params None Tuple of types of the class. Given a generic class Model with 2 type variables and a concrete model Model[str, int] , the value (str, int) would be passed to params . None Returns: Type Description None String representing the new class where params are passed to cls as type variables. Raises: Type Description TypeError Raised when trying to generate concrete names for non-generic models. model_rebuild \u00b6 def model_rebuild ( * , force : 'bool' = False , raise_errors : 'bool' = True , _parent_namespace_depth : 'int' = 2 , _types_namespace : 'dict[str, Any] | None' = None ) -> 'bool | None' Try to rebuild the pydantic-core schema for the model. This may be necessary when one of the annotations is a ForwardRef which could not be resolved during the initial attempt to build the schema, and automatic rebuilding fails. Parameters: Name Type Description Default force None Whether to force the rebuilding of the model schema, defaults to False . None raise_errors None Whether to raise errors, defaults to True . None _parent_namespace_depth None The depth level of the parent namespace, defaults to 2. None _types_namespace None The types namespace, defaults to None . None Returns: Type Description None Returns None if the schema is already \"complete\" and rebuilding was not required. If rebuilding was required, returns True if rebuilding was successful, otherwise False . model_validate \u00b6 def model_validate ( obj : 'Any' , * , strict : 'bool | None' = None , from_attributes : 'bool | None' = None , context : 'dict[str, Any] | None' = None ) -> 'Model' Validate a pydantic model instance. Parameters: Name Type Description Default obj None The object to validate. None strict None Whether to raise an exception on invalid fields. None from_attributes None Whether to extract data from object attributes. None context None Additional context to pass to the validator. None Returns: Type Description None The validated model instance. Raises: Type Description ValidationError If the object could not be validated. model_validate_json \u00b6 def model_validate_json ( json_data : 'str | bytes | bytearray' , * , strict : 'bool | None' = None , context : 'dict[str, Any] | None' = None ) -> 'Model' Usage docs: docs.pydantic.dev/2.5/concepts/json/#json-parsing Validate the given JSON data against the Pydantic model. Parameters: Name Type Description Default json_data None The JSON data to validate. None strict None Whether to enforce types strictly. None context None Extra variables to pass to the validator. None Returns: Type Description None The validated Pydantic model. Raises: Type Description ValueError If json_data is not a JSON string. model_validate_strings \u00b6 def model_validate_strings ( obj : 'Any' , * , strict : 'bool | None' = None , context : 'dict[str, Any] | None' = None ) -> 'Model' Validate the given object contains string data against the Pydantic model. Parameters: Name Type Description Default obj None The object contains string data to validate. None strict None Whether to enforce types strictly. None context None Extra variables to pass to the validator. None Returns: Type Description None The validated Pydantic model. parse_file \u00b6 def parse_file ( path : 'str | Path' , * , content_type : 'str | None' = None , encoding : 'str' = 'utf8' , proto : 'DeprecatedParseProtocol | None' = None , allow_pickle : 'bool' = False ) -> 'Model' parse_obj \u00b6 def parse_obj ( obj : 'Any' ) -> 'Model' parse_raw \u00b6 def parse_raw ( b : 'str | bytes' , * , content_type : 'str | None' = None , encoding : 'str' = 'utf8' , proto : 'DeprecatedParseProtocol | None' = None , allow_pickle : 'bool' = False ) -> 'Model' schema \u00b6 def schema ( by_alias : 'bool' = True , ref_template : 'str' = '#/$defs/ {model} ' ) -> 'typing.Dict[str, Any]' schema_json \u00b6 def schema_json ( * , by_alias : 'bool' = True , ref_template : 'str' = '#/$defs/ {model} ' , ** dumps_kwargs : 'Any' ) -> 'str' update_forward_refs \u00b6 def update_forward_refs ( ** localns : 'Any' ) -> 'None' validate \u00b6 def validate ( value : 'Any' ) -> 'Model' validate_limit \u00b6 def validate_limit ( v , info : pydantic_core . core_schema . ValidationInfo ) validate limit. Instance variables \u00b6 model_computed_fields Get the computed fields of this model instance. model_extra Get extra fields set during validation. model_fields_set Returns the set of fields that have been explicitly set on this model instance. Methods \u00b6 copy \u00b6 def copy ( self : 'Model' , * , include : 'AbstractSetIntStr | MappingIntStrAny | None' = None , exclude : 'AbstractSetIntStr | MappingIntStrAny | None' = None , update : 'typing.Dict[str, Any] | None' = None , deep : 'bool' = False ) -> 'Model' Returns a copy of the model. Deprecated This method is now deprecated; use model_copy instead. If you need include or exclude , use: data = self . model_dump ( include = include , exclude = exclude , round_trip = True ) data = { ** data , ** ( update or {})} copied = self . model_validate ( data ) Parameters: Name Type Description Default include None Optional set or mapping specifying which fields to include in the copied model. None exclude None Optional set or mapping specifying which fields to exclude in the copied model. None update None Optional dictionary of field-value pairs to override field values in the copied model. None deep None If True, the values of fields that are Pydantic models will be deep copied. None Returns: Type Description None A copy of the model with included, excluded and updated fields as specified. dict \u00b6 def dict ( self , * , include : 'IncEx' = None , exclude : 'IncEx' = None , by_alias : 'bool' = False , exclude_unset : 'bool' = False , exclude_defaults : 'bool' = False , exclude_none : 'bool' = False ) -> 'typing.Dict[str, Any]' json \u00b6 def json ( self , * , include : 'IncEx' = None , exclude : 'IncEx' = None , by_alias : 'bool' = False , exclude_unset : 'bool' = False , exclude_defaults : 'bool' = False , exclude_none : 'bool' = False , encoder : 'typing.Callable[[Any], Any] | None' = PydanticUndefined , models_as_dict : 'bool' = PydanticUndefined , ** dumps_kwargs : 'Any' ) -> 'str' model_copy \u00b6 def model_copy ( self : 'Model' , * , update : 'dict[str, Any] | None' = None , deep : 'bool' = False ) -> 'Model' Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#model_copy Returns a copy of the model. Parameters: Name Type Description Default update None Values to change/add in the new model. Note: the data is not validated before creating the new model. You should trust this data. None deep None Set to True to make a deep copy of the model. None Returns: Type Description None New model instance. model_dump \u00b6 def model_dump ( self , * , mode : \"Literal[('json', 'python')] | str\" = 'python' , include : 'IncEx' = None , exclude : 'IncEx' = None , by_alias : 'bool' = False , exclude_unset : 'bool' = False , exclude_defaults : 'bool' = False , exclude_none : 'bool' = False , round_trip : 'bool' = False , warnings : 'bool' = True ) -> 'dict[str, Any]' Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#modelmodel_dump Generate a dictionary representation of the model, optionally specifying which fields to include or exclude. Parameters: Name Type Description Default mode None The mode in which to_python should run. If mode is 'json', the dictionary will only contain JSON serializable types. If mode is 'python', the dictionary may contain any Python objects. None include None A list of fields to include in the output. None exclude None A list of fields to exclude from the output. None by_alias None Whether to use the field's alias in the dictionary key if defined. None exclude_unset None Whether to exclude fields that have not been explicitly set. None exclude_defaults None Whether to exclude fields that are set to their default value from the output. None exclude_none None Whether to exclude fields that have a value of None from the output. None round_trip None Whether to enable serialization and deserialization round-trip support. None warnings None Whether to log warnings when invalid fields are encountered. None Returns: Type Description None A dictionary representation of the model. model_dump_json \u00b6 def model_dump_json ( self , * , indent : 'int | None' = None , include : 'IncEx' = None , exclude : 'IncEx' = None , by_alias : 'bool' = False , exclude_unset : 'bool' = False , exclude_defaults : 'bool' = False , exclude_none : 'bool' = False , round_trip : 'bool' = False , warnings : 'bool' = True ) -> 'str' Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#modelmodel_dump_json Generates a JSON representation of the model using Pydantic's to_json method. Parameters: Name Type Description Default indent None Indentation to use in the JSON output. If None is passed, the output will be compact. None include None Field(s) to include in the JSON output. Can take either a string or set of strings. None exclude None Field(s) to exclude from the JSON output. Can take either a string or set of strings. None by_alias None Whether to serialize using field aliases. None exclude_unset None Whether to exclude fields that have not been explicitly set. None exclude_defaults None Whether to exclude fields that have the default value. None exclude_none None Whether to exclude fields that have a value of None . None round_trip None Whether to use serialization/deserialization between JSON and class instance. None warnings None Whether to show any warnings that occurred during serialization. None Returns: Type Description None A JSON string representation of the model. model_post_init \u00b6 def model_post_init ( self , _BaseModel__context : 'Any' ) -> 'None' Override this method to perform additional initialization after __init__ and model_construct . This is useful if you want to do some validation that requires the entire model to be initialized. Info \u00b6 class Info ( __pydantic_self__ , ** data : 'Any' ) Response model for /info endpoint. Ancestors (in MRO) \u00b6 pydantic.main.BaseModel Class variables \u00b6 model_config model_fields Static methods \u00b6 construct \u00b6 def construct ( _fields_set : 'set[str] | None' = None , ** values : 'Any' ) -> 'Model' from_orm \u00b6 def from_orm ( obj : 'Any' ) -> 'Model' model_construct \u00b6 def model_construct ( _fields_set : 'set[str] | None' = None , ** values : 'Any' ) -> 'Model' Creates a new instance of the Model class with validated data. Creates a new model setting __dict__ and __pydantic_fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed. Behaves as if Config.extra = 'allow' was set since it adds all passed values Parameters: Name Type Description Default _fields_set None The set of field names accepted for the Model instance. None values None Trusted or pre-validated data dictionary. None Returns: Type Description None A new instance of the Model class with validated data. model_json_schema \u00b6 def model_json_schema ( by_alias : 'bool' = True , ref_template : 'str' = '#/$defs/ {model} ' , schema_generator : 'type[GenerateJsonSchema]' = < class ' pydantic . json_schema . GenerateJsonSchema '>, mode : 'JsonSchemaMode' = 'validation' ) -> 'dict[str, Any]' Generates a JSON schema for a model class. Parameters: Name Type Description Default by_alias None Whether to use attribute aliases or not. None ref_template None The reference template. None schema_generator None To override the logic used to generate the JSON schema, as a subclass of GenerateJsonSchema with your desired modifications None mode None The mode in which to generate the schema. None Returns: Type Description None The JSON schema for the given model class. model_parametrized_name \u00b6 def model_parametrized_name ( params : 'tuple[type[Any], ...]' ) -> 'str' Compute the class name for parametrizations of generic classes. This method can be overridden to achieve a custom naming scheme for generic BaseModels. Parameters: Name Type Description Default params None Tuple of types of the class. Given a generic class Model with 2 type variables and a concrete model Model[str, int] , the value (str, int) would be passed to params . None Returns: Type Description None String representing the new class where params are passed to cls as type variables. Raises: Type Description TypeError Raised when trying to generate concrete names for non-generic models. model_rebuild \u00b6 def model_rebuild ( * , force : 'bool' = False , raise_errors : 'bool' = True , _parent_namespace_depth : 'int' = 2 , _types_namespace : 'dict[str, Any] | None' = None ) -> 'bool | None' Try to rebuild the pydantic-core schema for the model. This may be necessary when one of the annotations is a ForwardRef which could not be resolved during the initial attempt to build the schema, and automatic rebuilding fails. Parameters: Name Type Description Default force None Whether to force the rebuilding of the model schema, defaults to False . None raise_errors None Whether to raise errors, defaults to True . None _parent_namespace_depth None The depth level of the parent namespace, defaults to 2. None _types_namespace None The types namespace, defaults to None . None Returns: Type Description None Returns None if the schema is already \"complete\" and rebuilding was not required. If rebuilding was required, returns True if rebuilding was successful, otherwise False . model_validate \u00b6 def model_validate ( obj : 'Any' , * , strict : 'bool | None' = None , from_attributes : 'bool | None' = None , context : 'dict[str, Any] | None' = None ) -> 'Model' Validate a pydantic model instance. Parameters: Name Type Description Default obj None The object to validate. None strict None Whether to raise an exception on invalid fields. None from_attributes None Whether to extract data from object attributes. None context None Additional context to pass to the validator. None Returns: Type Description None The validated model instance. Raises: Type Description ValidationError If the object could not be validated. model_validate_json \u00b6 def model_validate_json ( json_data : 'str | bytes | bytearray' , * , strict : 'bool | None' = None , context : 'dict[str, Any] | None' = None ) -> 'Model' Usage docs: docs.pydantic.dev/2.5/concepts/json/#json-parsing Validate the given JSON data against the Pydantic model. Parameters: Name Type Description Default json_data None The JSON data to validate. None strict None Whether to enforce types strictly. None context None Extra variables to pass to the validator. None Returns: Type Description None The validated Pydantic model. Raises: Type Description ValueError If json_data is not a JSON string. model_validate_strings \u00b6 def model_validate_strings ( obj : 'Any' , * , strict : 'bool | None' = None , context : 'dict[str, Any] | None' = None ) -> 'Model' Validate the given object contains string data against the Pydantic model. Parameters: Name Type Description Default obj None The object contains string data to validate. None strict None Whether to enforce types strictly. None context None Extra variables to pass to the validator. None Returns: Type Description None The validated Pydantic model. parse_file \u00b6 def parse_file ( path : 'str | Path' , * , content_type : 'str | None' = None , encoding : 'str' = 'utf8' , proto : 'DeprecatedParseProtocol | None' = None , allow_pickle : 'bool' = False ) -> 'Model' parse_obj \u00b6 def parse_obj ( obj : 'Any' ) -> 'Model' parse_raw \u00b6 def parse_raw ( b : 'str | bytes' , * , content_type : 'str | None' = None , encoding : 'str' = 'utf8' , proto : 'DeprecatedParseProtocol | None' = None , allow_pickle : 'bool' = False ) -> 'Model' schema \u00b6 def schema ( by_alias : 'bool' = True , ref_template : 'str' = '#/$defs/ {model} ' ) -> 'typing.Dict[str, Any]' schema_json \u00b6 def schema_json ( * , by_alias : 'bool' = True , ref_template : 'str' = '#/$defs/ {model} ' , ** dumps_kwargs : 'Any' ) -> 'str' update_forward_refs \u00b6 def update_forward_refs ( ** localns : 'Any' ) -> 'None' validate \u00b6 def validate ( value : 'Any' ) -> 'Model' Instance variables \u00b6 model_computed_fields Get the computed fields of this model instance. model_extra Get extra fields set during validation. model_fields_set Returns the set of fields that have been explicitly set on this model instance. Methods \u00b6 copy \u00b6 def copy ( self : 'Model' , * , include : 'AbstractSetIntStr | MappingIntStrAny | None' = None , exclude : 'AbstractSetIntStr | MappingIntStrAny | None' = None , update : 'typing.Dict[str, Any] | None' = None , deep : 'bool' = False ) -> 'Model' Returns a copy of the model. Deprecated This method is now deprecated; use model_copy instead. If you need include or exclude , use: data = self . model_dump ( include = include , exclude = exclude , round_trip = True ) data = { ** data , ** ( update or {})} copied = self . model_validate ( data ) Parameters: Name Type Description Default include None Optional set or mapping specifying which fields to include in the copied model. None exclude None Optional set or mapping specifying which fields to exclude in the copied model. None update None Optional dictionary of field-value pairs to override field values in the copied model. None deep None If True, the values of fields that are Pydantic models will be deep copied. None Returns: Type Description None A copy of the model with included, excluded and updated fields as specified. dict \u00b6 def dict ( self , * , include : 'IncEx' = None , exclude : 'IncEx' = None , by_alias : 'bool' = False , exclude_unset : 'bool' = False , exclude_defaults : 'bool' = False , exclude_none : 'bool' = False ) -> 'typing.Dict[str, Any]' json \u00b6 def json ( self , * , include : 'IncEx' = None , exclude : 'IncEx' = None , by_alias : 'bool' = False , exclude_unset : 'bool' = False , exclude_defaults : 'bool' = False , exclude_none : 'bool' = False , encoder : 'typing.Callable[[Any], Any] | None' = PydanticUndefined , models_as_dict : 'bool' = PydanticUndefined , ** dumps_kwargs : 'Any' ) -> 'str' model_copy \u00b6 def model_copy ( self : 'Model' , * , update : 'dict[str, Any] | None' = None , deep : 'bool' = False ) -> 'Model' Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#model_copy Returns a copy of the model. Parameters: Name Type Description Default update None Values to change/add in the new model. Note: the data is not validated before creating the new model. You should trust this data. None deep None Set to True to make a deep copy of the model. None Returns: Type Description None New model instance. model_dump \u00b6 def model_dump ( self , * , mode : \"Literal[('json', 'python')] | str\" = 'python' , include : 'IncEx' = None , exclude : 'IncEx' = None , by_alias : 'bool' = False , exclude_unset : 'bool' = False , exclude_defaults : 'bool' = False , exclude_none : 'bool' = False , round_trip : 'bool' = False , warnings : 'bool' = True ) -> 'dict[str, Any]' Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#modelmodel_dump Generate a dictionary representation of the model, optionally specifying which fields to include or exclude. Parameters: Name Type Description Default mode None The mode in which to_python should run. If mode is 'json', the dictionary will only contain JSON serializable types. If mode is 'python', the dictionary may contain any Python objects. None include None A list of fields to include in the output. None exclude None A list of fields to exclude from the output. None by_alias None Whether to use the field's alias in the dictionary key if defined. None exclude_unset None Whether to exclude fields that have not been explicitly set. None exclude_defaults None Whether to exclude fields that are set to their default value from the output. None exclude_none None Whether to exclude fields that have a value of None from the output. None round_trip None Whether to enable serialization and deserialization round-trip support. None warnings None Whether to log warnings when invalid fields are encountered. None Returns: Type Description None A dictionary representation of the model. model_dump_json \u00b6 def model_dump_json ( self , * , indent : 'int | None' = None , include : 'IncEx' = None , exclude : 'IncEx' = None , by_alias : 'bool' = False , exclude_unset : 'bool' = False , exclude_defaults : 'bool' = False , exclude_none : 'bool' = False , round_trip : 'bool' = False , warnings : 'bool' = True ) -> 'str' Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#modelmodel_dump_json Generates a JSON representation of the model using Pydantic's to_json method. Parameters: Name Type Description Default indent None Indentation to use in the JSON output. If None is passed, the output will be compact. None include None Field(s) to include in the JSON output. Can take either a string or set of strings. None exclude None Field(s) to exclude from the JSON output. Can take either a string or set of strings. None by_alias None Whether to serialize using field aliases. None exclude_unset None Whether to exclude fields that have not been explicitly set. None exclude_defaults None Whether to exclude fields that have the default value. None exclude_none None Whether to exclude fields that have a value of None . None round_trip None Whether to use serialization/deserialization between JSON and class instance. None warnings None Whether to show any warnings that occurred during serialization. None Returns: Type Description None A JSON string representation of the model. model_post_init \u00b6 def model_post_init ( self , _BaseModel__context : 'Any' ) -> 'None' Override this method to perform additional initialization after __init__ and model_construct . This is useful if you want to do some validation that requires the entire model to be initialized. Infos \u00b6 class Infos ( __pydantic_self__ , ** data : 'Any' ) Response model for /list endpoint. Ancestors (in MRO) \u00b6 pydantic.main.BaseModel Class variables \u00b6 model_config model_fields Static methods \u00b6 construct \u00b6 def construct ( _fields_set : 'set[str] | None' = None , ** values : 'Any' ) -> 'Model' from_orm \u00b6 def from_orm ( obj : 'Any' ) -> 'Model' model_construct \u00b6 def model_construct ( _fields_set : 'set[str] | None' = None , ** values : 'Any' ) -> 'Model' Creates a new instance of the Model class with validated data. Creates a new model setting __dict__ and __pydantic_fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed. Behaves as if Config.extra = 'allow' was set since it adds all passed values Parameters: Name Type Description Default _fields_set None The set of field names accepted for the Model instance. None values None Trusted or pre-validated data dictionary. None Returns: Type Description None A new instance of the Model class with validated data. model_json_schema \u00b6 def model_json_schema ( by_alias : 'bool' = True , ref_template : 'str' = '#/$defs/ {model} ' , schema_generator : 'type[GenerateJsonSchema]' = < class ' pydantic . json_schema . GenerateJsonSchema '>, mode : 'JsonSchemaMode' = 'validation' ) -> 'dict[str, Any]' Generates a JSON schema for a model class. Parameters: Name Type Description Default by_alias None Whether to use attribute aliases or not. None ref_template None The reference template. None schema_generator None To override the logic used to generate the JSON schema, as a subclass of GenerateJsonSchema with your desired modifications None mode None The mode in which to generate the schema. None Returns: Type Description None The JSON schema for the given model class. model_parametrized_name \u00b6 def model_parametrized_name ( params : 'tuple[type[Any], ...]' ) -> 'str' Compute the class name for parametrizations of generic classes. This method can be overridden to achieve a custom naming scheme for generic BaseModels. Parameters: Name Type Description Default params None Tuple of types of the class. Given a generic class Model with 2 type variables and a concrete model Model[str, int] , the value (str, int) would be passed to params . None Returns: Type Description None String representing the new class where params are passed to cls as type variables. Raises: Type Description TypeError Raised when trying to generate concrete names for non-generic models. model_rebuild \u00b6 def model_rebuild ( * , force : 'bool' = False , raise_errors : 'bool' = True , _parent_namespace_depth : 'int' = 2 , _types_namespace : 'dict[str, Any] | None' = None ) -> 'bool | None' Try to rebuild the pydantic-core schema for the model. This may be necessary when one of the annotations is a ForwardRef which could not be resolved during the initial attempt to build the schema, and automatic rebuilding fails. Parameters: Name Type Description Default force None Whether to force the rebuilding of the model schema, defaults to False . None raise_errors None Whether to raise errors, defaults to True . None _parent_namespace_depth None The depth level of the parent namespace, defaults to 2. None _types_namespace None The types namespace, defaults to None . None Returns: Type Description None Returns None if the schema is already \"complete\" and rebuilding was not required. If rebuilding was required, returns True if rebuilding was successful, otherwise False . model_validate \u00b6 def model_validate ( obj : 'Any' , * , strict : 'bool | None' = None , from_attributes : 'bool | None' = None , context : 'dict[str, Any] | None' = None ) -> 'Model' Validate a pydantic model instance. Parameters: Name Type Description Default obj None The object to validate. None strict None Whether to raise an exception on invalid fields. None from_attributes None Whether to extract data from object attributes. None context None Additional context to pass to the validator. None Returns: Type Description None The validated model instance. Raises: Type Description ValidationError If the object could not be validated. model_validate_json \u00b6 def model_validate_json ( json_data : 'str | bytes | bytearray' , * , strict : 'bool | None' = None , context : 'dict[str, Any] | None' = None ) -> 'Model' Usage docs: docs.pydantic.dev/2.5/concepts/json/#json-parsing Validate the given JSON data against the Pydantic model. Parameters: Name Type Description Default json_data None The JSON data to validate. None strict None Whether to enforce types strictly. None context None Extra variables to pass to the validator. None Returns: Type Description None The validated Pydantic model. Raises: Type Description ValueError If json_data is not a JSON string. model_validate_strings \u00b6 def model_validate_strings ( obj : 'Any' , * , strict : 'bool | None' = None , context : 'dict[str, Any] | None' = None ) -> 'Model' Validate the given object contains string data against the Pydantic model. Parameters: Name Type Description Default obj None The object contains string data to validate. None strict None Whether to enforce types strictly. None context None Extra variables to pass to the validator. None Returns: Type Description None The validated Pydantic model. parse_file \u00b6 def parse_file ( path : 'str | Path' , * , content_type : 'str | None' = None , encoding : 'str' = 'utf8' , proto : 'DeprecatedParseProtocol | None' = None , allow_pickle : 'bool' = False ) -> 'Model' parse_obj \u00b6 def parse_obj ( obj : 'Any' ) -> 'Model' parse_raw \u00b6 def parse_raw ( b : 'str | bytes' , * , content_type : 'str | None' = None , encoding : 'str' = 'utf8' , proto : 'DeprecatedParseProtocol | None' = None , allow_pickle : 'bool' = False ) -> 'Model' schema \u00b6 def schema ( by_alias : 'bool' = True , ref_template : 'str' = '#/$defs/ {model} ' ) -> 'typing.Dict[str, Any]' schema_json \u00b6 def schema_json ( * , by_alias : 'bool' = True , ref_template : 'str' = '#/$defs/ {model} ' , ** dumps_kwargs : 'Any' ) -> 'str' update_forward_refs \u00b6 def update_forward_refs ( ** localns : 'Any' ) -> 'None' validate \u00b6 def validate ( value : 'Any' ) -> 'Model' Instance variables \u00b6 model_computed_fields Get the computed fields of this model instance. model_extra Get extra fields set during validation. model_fields_set Returns the set of fields that have been explicitly set on this model instance. Methods \u00b6 copy \u00b6 def copy ( self : 'Model' , * , include : 'AbstractSetIntStr | MappingIntStrAny | None' = None , exclude : 'AbstractSetIntStr | MappingIntStrAny | None' = None , update : 'typing.Dict[str, Any] | None' = None , deep : 'bool' = False ) -> 'Model' Returns a copy of the model. Deprecated This method is now deprecated; use model_copy instead. If you need include or exclude , use: data = self . model_dump ( include = include , exclude = exclude , round_trip = True ) data = { ** data , ** ( update or {})} copied = self . model_validate ( data ) Parameters: Name Type Description Default include None Optional set or mapping specifying which fields to include in the copied model. None exclude None Optional set or mapping specifying which fields to exclude in the copied model. None update None Optional dictionary of field-value pairs to override field values in the copied model. None deep None If True, the values of fields that are Pydantic models will be deep copied. None Returns: Type Description None A copy of the model with included, excluded and updated fields as specified. dict \u00b6 def dict ( self , * , include : 'IncEx' = None , exclude : 'IncEx' = None , by_alias : 'bool' = False , exclude_unset : 'bool' = False , exclude_defaults : 'bool' = False , exclude_none : 'bool' = False ) -> 'typing.Dict[str, Any]' json \u00b6 def json ( self , * , include : 'IncEx' = None , exclude : 'IncEx' = None , by_alias : 'bool' = False , exclude_unset : 'bool' = False , exclude_defaults : 'bool' = False , exclude_none : 'bool' = False , encoder : 'typing.Callable[[Any], Any] | None' = PydanticUndefined , models_as_dict : 'bool' = PydanticUndefined , ** dumps_kwargs : 'Any' ) -> 'str' model_copy \u00b6 def model_copy ( self : 'Model' , * , update : 'dict[str, Any] | None' = None , deep : 'bool' = False ) -> 'Model' Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#model_copy Returns a copy of the model. Parameters: Name Type Description Default update None Values to change/add in the new model. Note: the data is not validated before creating the new model. You should trust this data. None deep None Set to True to make a deep copy of the model. None Returns: Type Description None New model instance. model_dump \u00b6 def model_dump ( self , * , mode : \"Literal[('json', 'python')] | str\" = 'python' , include : 'IncEx' = None , exclude : 'IncEx' = None , by_alias : 'bool' = False , exclude_unset : 'bool' = False , exclude_defaults : 'bool' = False , exclude_none : 'bool' = False , round_trip : 'bool' = False , warnings : 'bool' = True ) -> 'dict[str, Any]' Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#modelmodel_dump Generate a dictionary representation of the model, optionally specifying which fields to include or exclude. Parameters: Name Type Description Default mode None The mode in which to_python should run. If mode is 'json', the dictionary will only contain JSON serializable types. If mode is 'python', the dictionary may contain any Python objects. None include None A list of fields to include in the output. None exclude None A list of fields to exclude from the output. None by_alias None Whether to use the field's alias in the dictionary key if defined. None exclude_unset None Whether to exclude fields that have not been explicitly set. None exclude_defaults None Whether to exclude fields that are set to their default value from the output. None exclude_none None Whether to exclude fields that have a value of None from the output. None round_trip None Whether to enable serialization and deserialization round-trip support. None warnings None Whether to log warnings when invalid fields are encountered. None Returns: Type Description None A dictionary representation of the model. model_dump_json \u00b6 def model_dump_json ( self , * , indent : 'int | None' = None , include : 'IncEx' = None , exclude : 'IncEx' = None , by_alias : 'bool' = False , exclude_unset : 'bool' = False , exclude_defaults : 'bool' = False , exclude_none : 'bool' = False , round_trip : 'bool' = False , warnings : 'bool' = True ) -> 'str' Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#modelmodel_dump_json Generates a JSON representation of the model using Pydantic's to_json method. Parameters: Name Type Description Default indent None Indentation to use in the JSON output. If None is passed, the output will be compact. None include None Field(s) to include in the JSON output. Can take either a string or set of strings. None exclude None Field(s) to exclude from the JSON output. Can take either a string or set of strings. None by_alias None Whether to serialize using field aliases. None exclude_unset None Whether to exclude fields that have not been explicitly set. None exclude_defaults None Whether to exclude fields that have the default value. None exclude_none None Whether to exclude fields that have a value of None . None round_trip None Whether to use serialization/deserialization between JSON and class instance. None warnings None Whether to show any warnings that occurred during serialization. None Returns: Type Description None A JSON string representation of the model. model_post_init \u00b6 def model_post_init ( self , _BaseModel__context : 'Any' ) -> 'None' Override this method to perform additional initialization after __init__ and model_construct . This is useful if you want to do some validation that requires the entire model to be initialized. Link \u00b6 class Link ( __pydantic_self__ , ** data : 'Any' ) Link model. Ref: schemas.opengis.net/ogcapi/features/part1/1.0/openapi/schemas/link.yaml Ancestors (in MRO) \u00b6 pydantic.main.BaseModel Class variables \u00b6 model_config model_fields Static methods \u00b6 construct \u00b6 def construct ( _fields_set : 'set[str] | None' = None , ** values : 'Any' ) -> 'Model' from_orm \u00b6 def from_orm ( obj : 'Any' ) -> 'Model' model_construct \u00b6 def model_construct ( _fields_set : 'set[str] | None' = None , ** values : 'Any' ) -> 'Model' Creates a new instance of the Model class with validated data. Creates a new model setting __dict__ and __pydantic_fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed. Behaves as if Config.extra = 'allow' was set since it adds all passed values Parameters: Name Type Description Default _fields_set None The set of field names accepted for the Model instance. None values None Trusted or pre-validated data dictionary. None Returns: Type Description None A new instance of the Model class with validated data. model_json_schema \u00b6 def model_json_schema ( by_alias : 'bool' = True , ref_template : 'str' = '#/$defs/ {model} ' , schema_generator : 'type[GenerateJsonSchema]' = < class ' pydantic . json_schema . GenerateJsonSchema '>, mode : 'JsonSchemaMode' = 'validation' ) -> 'dict[str, Any]' Generates a JSON schema for a model class. Parameters: Name Type Description Default by_alias None Whether to use attribute aliases or not. None ref_template None The reference template. None schema_generator None To override the logic used to generate the JSON schema, as a subclass of GenerateJsonSchema with your desired modifications None mode None The mode in which to generate the schema. None Returns: Type Description None The JSON schema for the given model class. model_parametrized_name \u00b6 def model_parametrized_name ( params : 'tuple[type[Any], ...]' ) -> 'str' Compute the class name for parametrizations of generic classes. This method can be overridden to achieve a custom naming scheme for generic BaseModels. Parameters: Name Type Description Default params None Tuple of types of the class. Given a generic class Model with 2 type variables and a concrete model Model[str, int] , the value (str, int) would be passed to params . None Returns: Type Description None String representing the new class where params are passed to cls as type variables. Raises: Type Description TypeError Raised when trying to generate concrete names for non-generic models. model_rebuild \u00b6 def model_rebuild ( * , force : 'bool' = False , raise_errors : 'bool' = True , _parent_namespace_depth : 'int' = 2 , _types_namespace : 'dict[str, Any] | None' = None ) -> 'bool | None' Try to rebuild the pydantic-core schema for the model. This may be necessary when one of the annotations is a ForwardRef which could not be resolved during the initial attempt to build the schema, and automatic rebuilding fails. Parameters: Name Type Description Default force None Whether to force the rebuilding of the model schema, defaults to False . None raise_errors None Whether to raise errors, defaults to True . None _parent_namespace_depth None The depth level of the parent namespace, defaults to 2. None _types_namespace None The types namespace, defaults to None . None Returns: Type Description None Returns None if the schema is already \"complete\" and rebuilding was not required. If rebuilding was required, returns True if rebuilding was successful, otherwise False . model_validate \u00b6 def model_validate ( obj : 'Any' , * , strict : 'bool | None' = None , from_attributes : 'bool | None' = None , context : 'dict[str, Any] | None' = None ) -> 'Model' Validate a pydantic model instance. Parameters: Name Type Description Default obj None The object to validate. None strict None Whether to raise an exception on invalid fields. None from_attributes None Whether to extract data from object attributes. None context None Additional context to pass to the validator. None Returns: Type Description None The validated model instance. Raises: Type Description ValidationError If the object could not be validated. model_validate_json \u00b6 def model_validate_json ( json_data : 'str | bytes | bytearray' , * , strict : 'bool | None' = None , context : 'dict[str, Any] | None' = None ) -> 'Model' Usage docs: docs.pydantic.dev/2.5/concepts/json/#json-parsing Validate the given JSON data against the Pydantic model. Parameters: Name Type Description Default json_data None The JSON data to validate. None strict None Whether to enforce types strictly. None context None Extra variables to pass to the validator. None Returns: Type Description None The validated Pydantic model. Raises: Type Description ValueError If json_data is not a JSON string. model_validate_strings \u00b6 def model_validate_strings ( obj : 'Any' , * , strict : 'bool | None' = None , context : 'dict[str, Any] | None' = None ) -> 'Model' Validate the given object contains string data against the Pydantic model. Parameters: Name Type Description Default obj None The object contains string data to validate. None strict None Whether to enforce types strictly. None context None Extra variables to pass to the validator. None Returns: Type Description None The validated Pydantic model. parse_file \u00b6 def parse_file ( path : 'str | Path' , * , content_type : 'str | None' = None , encoding : 'str' = 'utf8' , proto : 'DeprecatedParseProtocol | None' = None , allow_pickle : 'bool' = False ) -> 'Model' parse_obj \u00b6 def parse_obj ( obj : 'Any' ) -> 'Model' parse_raw \u00b6 def parse_raw ( b : 'str | bytes' , * , content_type : 'str | None' = None , encoding : 'str' = 'utf8' , proto : 'DeprecatedParseProtocol | None' = None , allow_pickle : 'bool' = False ) -> 'Model' schema \u00b6 def schema ( by_alias : 'bool' = True , ref_template : 'str' = '#/$defs/ {model} ' ) -> 'typing.Dict[str, Any]' schema_json \u00b6 def schema_json ( * , by_alias : 'bool' = True , ref_template : 'str' = '#/$defs/ {model} ' , ** dumps_kwargs : 'Any' ) -> 'str' update_forward_refs \u00b6 def update_forward_refs ( ** localns : 'Any' ) -> 'None' validate \u00b6 def validate ( value : 'Any' ) -> 'Model' Instance variables \u00b6 model_computed_fields Get the computed fields of this model instance. model_extra Get extra fields set during validation. model_fields_set Returns the set of fields that have been explicitly set on this model instance. Methods \u00b6 copy \u00b6 def copy ( self : 'Model' , * , include : 'AbstractSetIntStr | MappingIntStrAny | None' = None , exclude : 'AbstractSetIntStr | MappingIntStrAny | None' = None , update : 'typing.Dict[str, Any] | None' = None , deep : 'bool' = False ) -> 'Model' Returns a copy of the model. Deprecated This method is now deprecated; use model_copy instead. If you need include or exclude , use: data = self . model_dump ( include = include , exclude = exclude , round_trip = True ) data = { ** data , ** ( update or {})} copied = self . model_validate ( data ) Parameters: Name Type Description Default include None Optional set or mapping specifying which fields to include in the copied model. None exclude None Optional set or mapping specifying which fields to exclude in the copied model. None update None Optional dictionary of field-value pairs to override field values in the copied model. None deep None If True, the values of fields that are Pydantic models will be deep copied. None Returns: Type Description None A copy of the model with included, excluded and updated fields as specified. dict \u00b6 def dict ( self , * , include : 'IncEx' = None , exclude : 'IncEx' = None , by_alias : 'bool' = False , exclude_unset : 'bool' = False , exclude_defaults : 'bool' = False , exclude_none : 'bool' = False ) -> 'typing.Dict[str, Any]' json \u00b6 def json ( self , * , include : 'IncEx' = None , exclude : 'IncEx' = None , by_alias : 'bool' = False , exclude_unset : 'bool' = False , exclude_defaults : 'bool' = False , exclude_none : 'bool' = False , encoder : 'typing.Callable[[Any], Any] | None' = PydanticUndefined , models_as_dict : 'bool' = PydanticUndefined , ** dumps_kwargs : 'Any' ) -> 'str' model_copy \u00b6 def model_copy ( self : 'Model' , * , update : 'dict[str, Any] | None' = None , deep : 'bool' = False ) -> 'Model' Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#model_copy Returns a copy of the model. Parameters: Name Type Description Default update None Values to change/add in the new model. Note: the data is not validated before creating the new model. You should trust this data. None deep None Set to True to make a deep copy of the model. None Returns: Type Description None New model instance. model_dump \u00b6 def model_dump ( self , * , mode : \"Literal[('json', 'python')] | str\" = 'python' , include : 'IncEx' = None , exclude : 'IncEx' = None , by_alias : 'bool' = False , exclude_unset : 'bool' = False , exclude_defaults : 'bool' = False , exclude_none : 'bool' = False , round_trip : 'bool' = False , warnings : 'bool' = True ) -> 'dict[str, Any]' Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#modelmodel_dump Generate a dictionary representation of the model, optionally specifying which fields to include or exclude. Parameters: Name Type Description Default mode None The mode in which to_python should run. If mode is 'json', the dictionary will only contain JSON serializable types. If mode is 'python', the dictionary may contain any Python objects. None include None A list of fields to include in the output. None exclude None A list of fields to exclude from the output. None by_alias None Whether to use the field's alias in the dictionary key if defined. None exclude_unset None Whether to exclude fields that have not been explicitly set. None exclude_defaults None Whether to exclude fields that are set to their default value from the output. None exclude_none None Whether to exclude fields that have a value of None from the output. None round_trip None Whether to enable serialization and deserialization round-trip support. None warnings None Whether to log warnings when invalid fields are encountered. None Returns: Type Description None A dictionary representation of the model. model_dump_json \u00b6 def model_dump_json ( self , * , indent : 'int | None' = None , include : 'IncEx' = None , exclude : 'IncEx' = None , by_alias : 'bool' = False , exclude_unset : 'bool' = False , exclude_defaults : 'bool' = False , exclude_none : 'bool' = False , round_trip : 'bool' = False , warnings : 'bool' = True ) -> 'str' Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#modelmodel_dump_json Generates a JSON representation of the model using Pydantic's to_json method. Parameters: Name Type Description Default indent None Indentation to use in the JSON output. If None is passed, the output will be compact. None include None Field(s) to include in the JSON output. Can take either a string or set of strings. None exclude None Field(s) to exclude from the JSON output. Can take either a string or set of strings. None by_alias None Whether to serialize using field aliases. None exclude_unset None Whether to exclude fields that have not been explicitly set. None exclude_defaults None Whether to exclude fields that have the default value. None exclude_none None Whether to exclude fields that have a value of None . None round_trip None Whether to use serialization/deserialization between JSON and class instance. None warnings None Whether to show any warnings that occurred during serialization. None Returns: Type Description None A JSON string representation of the model. model_post_init \u00b6 def model_post_init ( self , _BaseModel__context : 'Any' ) -> 'None' Override this method to perform additional initialization after __init__ and model_construct . This is useful if you want to do some validation that requires the entire model to be initialized. Metadata \u00b6 class Metadata ( __pydantic_self__ , ** data : 'Any' ) Metadata Model. Ancestors (in MRO) \u00b6 pydantic.main.BaseModel Class variables \u00b6 model_config model_fields Static methods \u00b6 construct \u00b6 def construct ( _fields_set : 'set[str] | None' = None , ** values : 'Any' ) -> 'Model' from_orm \u00b6 def from_orm ( obj : 'Any' ) -> 'Model' model_construct \u00b6 def model_construct ( _fields_set : 'set[str] | None' = None , ** values : 'Any' ) -> 'Model' Creates a new instance of the Model class with validated data. Creates a new model setting __dict__ and __pydantic_fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed. Behaves as if Config.extra = 'allow' was set since it adds all passed values Parameters: Name Type Description Default _fields_set None The set of field names accepted for the Model instance. None values None Trusted or pre-validated data dictionary. None Returns: Type Description None A new instance of the Model class with validated data. model_json_schema \u00b6 def model_json_schema ( by_alias : 'bool' = True , ref_template : 'str' = '#/$defs/ {model} ' , schema_generator : 'type[GenerateJsonSchema]' = < class ' pydantic . json_schema . GenerateJsonSchema '>, mode : 'JsonSchemaMode' = 'validation' ) -> 'dict[str, Any]' Generates a JSON schema for a model class. Parameters: Name Type Description Default by_alias None Whether to use attribute aliases or not. None ref_template None The reference template. None schema_generator None To override the logic used to generate the JSON schema, as a subclass of GenerateJsonSchema with your desired modifications None mode None The mode in which to generate the schema. None Returns: Type Description None The JSON schema for the given model class. model_parametrized_name \u00b6 def model_parametrized_name ( params : 'tuple[type[Any], ...]' ) -> 'str' Compute the class name for parametrizations of generic classes. This method can be overridden to achieve a custom naming scheme for generic BaseModels. Parameters: Name Type Description Default params None Tuple of types of the class. Given a generic class Model with 2 type variables and a concrete model Model[str, int] , the value (str, int) would be passed to params . None Returns: Type Description None String representing the new class where params are passed to cls as type variables. Raises: Type Description TypeError Raised when trying to generate concrete names for non-generic models. model_rebuild \u00b6 def model_rebuild ( * , force : 'bool' = False , raise_errors : 'bool' = True , _parent_namespace_depth : 'int' = 2 , _types_namespace : 'dict[str, Any] | None' = None ) -> 'bool | None' Try to rebuild the pydantic-core schema for the model. This may be necessary when one of the annotations is a ForwardRef which could not be resolved during the initial attempt to build the schema, and automatic rebuilding fails. Parameters: Name Type Description Default force None Whether to force the rebuilding of the model schema, defaults to False . None raise_errors None Whether to raise errors, defaults to True . None _parent_namespace_depth None The depth level of the parent namespace, defaults to 2. None _types_namespace None The types namespace, defaults to None . None Returns: Type Description None Returns None if the schema is already \"complete\" and rebuilding was not required. If rebuilding was required, returns True if rebuilding was successful, otherwise False . model_validate \u00b6 def model_validate ( obj : 'Any' , * , strict : 'bool | None' = None , from_attributes : 'bool | None' = None , context : 'dict[str, Any] | None' = None ) -> 'Model' Validate a pydantic model instance. Parameters: Name Type Description Default obj None The object to validate. None strict None Whether to raise an exception on invalid fields. None from_attributes None Whether to extract data from object attributes. None context None Additional context to pass to the validator. None Returns: Type Description None The validated model instance. Raises: Type Description ValidationError If the object could not be validated. model_validate_json \u00b6 def model_validate_json ( json_data : 'str | bytes | bytearray' , * , strict : 'bool | None' = None , context : 'dict[str, Any] | None' = None ) -> 'Model' Usage docs: docs.pydantic.dev/2.5/concepts/json/#json-parsing Validate the given JSON data against the Pydantic model. Parameters: Name Type Description Default json_data None The JSON data to validate. None strict None Whether to enforce types strictly. None context None Extra variables to pass to the validator. None Returns: Type Description None The validated Pydantic model. Raises: Type Description ValueError If json_data is not a JSON string. model_validate_strings \u00b6 def model_validate_strings ( obj : 'Any' , * , strict : 'bool | None' = None , context : 'dict[str, Any] | None' = None ) -> 'Model' Validate the given object contains string data against the Pydantic model. Parameters: Name Type Description Default obj None The object contains string data to validate. None strict None Whether to enforce types strictly. None context None Extra variables to pass to the validator. None Returns: Type Description None The validated Pydantic model. parse_file \u00b6 def parse_file ( path : 'str | Path' , * , content_type : 'str | None' = None , encoding : 'str' = 'utf8' , proto : 'DeprecatedParseProtocol | None' = None , allow_pickle : 'bool' = False ) -> 'Model' parse_obj \u00b6 def parse_obj ( obj : 'Any' ) -> 'Model' parse_raw \u00b6 def parse_raw ( b : 'str | bytes' , * , content_type : 'str | None' = None , encoding : 'str' = 'utf8' , proto : 'DeprecatedParseProtocol | None' = None , allow_pickle : 'bool' = False ) -> 'Model' schema \u00b6 def schema ( by_alias : 'bool' = True , ref_template : 'str' = '#/$defs/ {model} ' ) -> 'typing.Dict[str, Any]' schema_json \u00b6 def schema_json ( * , by_alias : 'bool' = True , ref_template : 'str' = '#/$defs/ {model} ' , ** dumps_kwargs : 'Any' ) -> 'str' update_forward_refs \u00b6 def update_forward_refs ( ** localns : 'Any' ) -> 'None' validate \u00b6 def validate ( value : 'Any' ) -> 'Model' Instance variables \u00b6 model_computed_fields Get the computed fields of this model instance. model_extra Get extra fields set during validation. model_fields_set Returns the set of fields that have been explicitly set on this model instance. Methods \u00b6 copy \u00b6 def copy ( self : 'Model' , * , include : 'AbstractSetIntStr | MappingIntStrAny | None' = None , exclude : 'AbstractSetIntStr | MappingIntStrAny | None' = None , update : 'typing.Dict[str, Any] | None' = None , deep : 'bool' = False ) -> 'Model' Returns a copy of the model. Deprecated This method is now deprecated; use model_copy instead. If you need include or exclude , use: data = self . model_dump ( include = include , exclude = exclude , round_trip = True ) data = { ** data , ** ( update or {})} copied = self . model_validate ( data ) Parameters: Name Type Description Default include None Optional set or mapping specifying which fields to include in the copied model. None exclude None Optional set or mapping specifying which fields to exclude in the copied model. None update None Optional dictionary of field-value pairs to override field values in the copied model. None deep None If True, the values of fields that are Pydantic models will be deep copied. None Returns: Type Description None A copy of the model with included, excluded and updated fields as specified. dict \u00b6 def dict ( self , * , include : 'IncEx' = None , exclude : 'IncEx' = None , by_alias : 'bool' = False , exclude_unset : 'bool' = False , exclude_defaults : 'bool' = False , exclude_none : 'bool' = False ) -> 'typing.Dict[str, Any]' json \u00b6 def json ( self , * , include : 'IncEx' = None , exclude : 'IncEx' = None , by_alias : 'bool' = False , exclude_unset : 'bool' = False , exclude_defaults : 'bool' = False , exclude_none : 'bool' = False , encoder : 'typing.Callable[[Any], Any] | None' = PydanticUndefined , models_as_dict : 'bool' = PydanticUndefined , ** dumps_kwargs : 'Any' ) -> 'str' model_copy \u00b6 def model_copy ( self : 'Model' , * , update : 'dict[str, Any] | None' = None , deep : 'bool' = False ) -> 'Model' Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#model_copy Returns a copy of the model. Parameters: Name Type Description Default update None Values to change/add in the new model. Note: the data is not validated before creating the new model. You should trust this data. None deep None Set to True to make a deep copy of the model. None Returns: Type Description None New model instance. model_dump \u00b6 def model_dump ( self , * , mode : \"Literal[('json', 'python')] | str\" = 'python' , include : 'IncEx' = None , exclude : 'IncEx' = None , by_alias : 'bool' = False , exclude_unset : 'bool' = False , exclude_defaults : 'bool' = False , exclude_none : 'bool' = False , round_trip : 'bool' = False , warnings : 'bool' = True ) -> 'dict[str, Any]' Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#modelmodel_dump Generate a dictionary representation of the model, optionally specifying which fields to include or exclude. Parameters: Name Type Description Default mode None The mode in which to_python should run. If mode is 'json', the dictionary will only contain JSON serializable types. If mode is 'python', the dictionary may contain any Python objects. None include None A list of fields to include in the output. None exclude None A list of fields to exclude from the output. None by_alias None Whether to use the field's alias in the dictionary key if defined. None exclude_unset None Whether to exclude fields that have not been explicitly set. None exclude_defaults None Whether to exclude fields that are set to their default value from the output. None exclude_none None Whether to exclude fields that have a value of None from the output. None round_trip None Whether to enable serialization and deserialization round-trip support. None warnings None Whether to log warnings when invalid fields are encountered. None Returns: Type Description None A dictionary representation of the model. model_dump_json \u00b6 def model_dump_json ( self , * , indent : 'int | None' = None , include : 'IncEx' = None , exclude : 'IncEx' = None , by_alias : 'bool' = False , exclude_unset : 'bool' = False , exclude_defaults : 'bool' = False , exclude_none : 'bool' = False , round_trip : 'bool' = False , warnings : 'bool' = True ) -> 'str' Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#modelmodel_dump_json Generates a JSON representation of the model using Pydantic's to_json method. Parameters: Name Type Description Default indent None Indentation to use in the JSON output. If None is passed, the output will be compact. None include None Field(s) to include in the JSON output. Can take either a string or set of strings. None exclude None Field(s) to exclude from the JSON output. Can take either a string or set of strings. None by_alias None Whether to serialize using field aliases. None exclude_unset None Whether to exclude fields that have not been explicitly set. None exclude_defaults None Whether to exclude fields that have the default value. None exclude_none None Whether to exclude fields that have a value of None . None round_trip None Whether to use serialization/deserialization between JSON and class instance. None warnings None Whether to show any warnings that occurred during serialization. None Returns: Type Description None A JSON string representation of the model. model_post_init \u00b6 def model_post_init ( self , _BaseModel__context : 'Any' ) -> 'None' Override this method to perform additional initialization after __init__ and model_construct . This is useful if you want to do some validation that requires the entire model to be initialized. PgSTACSearch \u00b6 class PgSTACSearch ( __pydantic_self__ , ** data : 'Any' ) Search Query model. Notes/Diff with standard model: - 'fields' is not in the Model because it's defined at the tiler level - we don't set limit Ancestors (in MRO) \u00b6 pydantic.main.BaseModel Descendants \u00b6 titiler.pgstac.model.RegisterMosaic Class variables \u00b6 model_config model_fields Static methods \u00b6 construct \u00b6 def construct ( _fields_set : 'set[str] | None' = None , ** values : 'Any' ) -> 'Model' from_orm \u00b6 def from_orm ( obj : 'Any' ) -> 'Model' model_construct \u00b6 def model_construct ( _fields_set : 'set[str] | None' = None , ** values : 'Any' ) -> 'Model' Creates a new instance of the Model class with validated data. Creates a new model setting __dict__ and __pydantic_fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed. Behaves as if Config.extra = 'allow' was set since it adds all passed values Parameters: Name Type Description Default _fields_set None The set of field names accepted for the Model instance. None values None Trusted or pre-validated data dictionary. None Returns: Type Description None A new instance of the Model class with validated data. model_json_schema \u00b6 def model_json_schema ( by_alias : 'bool' = True , ref_template : 'str' = '#/$defs/ {model} ' , schema_generator : 'type[GenerateJsonSchema]' = < class ' pydantic . json_schema . GenerateJsonSchema '>, mode : 'JsonSchemaMode' = 'validation' ) -> 'dict[str, Any]' Generates a JSON schema for a model class. Parameters: Name Type Description Default by_alias None Whether to use attribute aliases or not. None ref_template None The reference template. None schema_generator None To override the logic used to generate the JSON schema, as a subclass of GenerateJsonSchema with your desired modifications None mode None The mode in which to generate the schema. None Returns: Type Description None The JSON schema for the given model class. model_parametrized_name \u00b6 def model_parametrized_name ( params : 'tuple[type[Any], ...]' ) -> 'str' Compute the class name for parametrizations of generic classes. This method can be overridden to achieve a custom naming scheme for generic BaseModels. Parameters: Name Type Description Default params None Tuple of types of the class. Given a generic class Model with 2 type variables and a concrete model Model[str, int] , the value (str, int) would be passed to params . None Returns: Type Description None String representing the new class where params are passed to cls as type variables. Raises: Type Description TypeError Raised when trying to generate concrete names for non-generic models. model_rebuild \u00b6 def model_rebuild ( * , force : 'bool' = False , raise_errors : 'bool' = True , _parent_namespace_depth : 'int' = 2 , _types_namespace : 'dict[str, Any] | None' = None ) -> 'bool | None' Try to rebuild the pydantic-core schema for the model. This may be necessary when one of the annotations is a ForwardRef which could not be resolved during the initial attempt to build the schema, and automatic rebuilding fails. Parameters: Name Type Description Default force None Whether to force the rebuilding of the model schema, defaults to False . None raise_errors None Whether to raise errors, defaults to True . None _parent_namespace_depth None The depth level of the parent namespace, defaults to 2. None _types_namespace None The types namespace, defaults to None . None Returns: Type Description None Returns None if the schema is already \"complete\" and rebuilding was not required. If rebuilding was required, returns True if rebuilding was successful, otherwise False . model_validate \u00b6 def model_validate ( obj : 'Any' , * , strict : 'bool | None' = None , from_attributes : 'bool | None' = None , context : 'dict[str, Any] | None' = None ) -> 'Model' Validate a pydantic model instance. Parameters: Name Type Description Default obj None The object to validate. None strict None Whether to raise an exception on invalid fields. None from_attributes None Whether to extract data from object attributes. None context None Additional context to pass to the validator. None Returns: Type Description None The validated model instance. Raises: Type Description ValidationError If the object could not be validated. model_validate_json \u00b6 def model_validate_json ( json_data : 'str | bytes | bytearray' , * , strict : 'bool | None' = None , context : 'dict[str, Any] | None' = None ) -> 'Model' Usage docs: docs.pydantic.dev/2.5/concepts/json/#json-parsing Validate the given JSON data against the Pydantic model. Parameters: Name Type Description Default json_data None The JSON data to validate. None strict None Whether to enforce types strictly. None context None Extra variables to pass to the validator. None Returns: Type Description None The validated Pydantic model. Raises: Type Description ValueError If json_data is not a JSON string. model_validate_strings \u00b6 def model_validate_strings ( obj : 'Any' , * , strict : 'bool | None' = None , context : 'dict[str, Any] | None' = None ) -> 'Model' Validate the given object contains string data against the Pydantic model. Parameters: Name Type Description Default obj None The object contains string data to validate. None strict None Whether to enforce types strictly. None context None Extra variables to pass to the validator. None Returns: Type Description None The validated Pydantic model. parse_file \u00b6 def parse_file ( path : 'str | Path' , * , content_type : 'str | None' = None , encoding : 'str' = 'utf8' , proto : 'DeprecatedParseProtocol | None' = None , allow_pickle : 'bool' = False ) -> 'Model' parse_obj \u00b6 def parse_obj ( obj : 'Any' ) -> 'Model' parse_raw \u00b6 def parse_raw ( b : 'str | bytes' , * , content_type : 'str | None' = None , encoding : 'str' = 'utf8' , proto : 'DeprecatedParseProtocol | None' = None , allow_pickle : 'bool' = False ) -> 'Model' schema \u00b6 def schema ( by_alias : 'bool' = True , ref_template : 'str' = '#/$defs/ {model} ' ) -> 'typing.Dict[str, Any]' schema_json \u00b6 def schema_json ( * , by_alias : 'bool' = True , ref_template : 'str' = '#/$defs/ {model} ' , ** dumps_kwargs : 'Any' ) -> 'str' update_forward_refs \u00b6 def update_forward_refs ( ** localns : 'Any' ) -> 'None' validate \u00b6 def validate ( value : 'Any' ) -> 'Model' validate_bbox \u00b6 def validate_bbox ( v : Union [ Tuple [ float , float , float , float ], Tuple [ float , float , float , float , float , float ]] ) Validate BBOX. validate_datetime \u00b6 def validate_datetime ( v ) Pgstac does not require the base validator for datetime. validate_query_fields \u00b6 def validate_query_fields ( values : Dict ) -> Dict Pgstac does not require the base validator for query fields. validate_spatial \u00b6 def validate_spatial ( v : Union [ typing_extensions . Annotated [ Union [ geojson_pydantic . geometries . Point , geojson_pydantic . geometries . MultiPoint , geojson_pydantic . geometries . LineString , geojson_pydantic . geometries . MultiLineString , geojson_pydantic . geometries . Polygon , geojson_pydantic . geometries . MultiPolygon , geojson_pydantic . geometries . GeometryCollection ], FieldInfo ( annotation = NoneType , required = True , discriminator = 'type' )], NoneType ], info : pydantic_core . core_schema . ValidationInfo ) Make sure bbox is not used with Intersects. Instance variables \u00b6 model_computed_fields Get the computed fields of this model instance. model_extra Get extra fields set during validation. model_fields_set Returns the set of fields that have been explicitly set on this model instance. Methods \u00b6 copy \u00b6 def copy ( self : 'Model' , * , include : 'AbstractSetIntStr | MappingIntStrAny | None' = None , exclude : 'AbstractSetIntStr | MappingIntStrAny | None' = None , update : 'typing.Dict[str, Any] | None' = None , deep : 'bool' = False ) -> 'Model' Returns a copy of the model. Deprecated This method is now deprecated; use model_copy instead. If you need include or exclude , use: data = self . model_dump ( include = include , exclude = exclude , round_trip = True ) data = { ** data , ** ( update or {})} copied = self . model_validate ( data ) Parameters: Name Type Description Default include None Optional set or mapping specifying which fields to include in the copied model. None exclude None Optional set or mapping specifying which fields to exclude in the copied model. None update None Optional dictionary of field-value pairs to override field values in the copied model. None deep None If True, the values of fields that are Pydantic models will be deep copied. None Returns: Type Description None A copy of the model with included, excluded and updated fields as specified. dict \u00b6 def dict ( self , * , include : 'IncEx' = None , exclude : 'IncEx' = None , by_alias : 'bool' = False , exclude_unset : 'bool' = False , exclude_defaults : 'bool' = False , exclude_none : 'bool' = False ) -> 'typing.Dict[str, Any]' json \u00b6 def json ( self , * , include : 'IncEx' = None , exclude : 'IncEx' = None , by_alias : 'bool' = False , exclude_unset : 'bool' = False , exclude_defaults : 'bool' = False , exclude_none : 'bool' = False , encoder : 'typing.Callable[[Any], Any] | None' = PydanticUndefined , models_as_dict : 'bool' = PydanticUndefined , ** dumps_kwargs : 'Any' ) -> 'str' model_copy \u00b6 def model_copy ( self : 'Model' , * , update : 'dict[str, Any] | None' = None , deep : 'bool' = False ) -> 'Model' Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#model_copy Returns a copy of the model. Parameters: Name Type Description Default update None Values to change/add in the new model. Note: the data is not validated before creating the new model. You should trust this data. None deep None Set to True to make a deep copy of the model. None Returns: Type Description None New model instance. model_dump \u00b6 def model_dump ( self , * , mode : \"Literal[('json', 'python')] | str\" = 'python' , include : 'IncEx' = None , exclude : 'IncEx' = None , by_alias : 'bool' = False , exclude_unset : 'bool' = False , exclude_defaults : 'bool' = False , exclude_none : 'bool' = False , round_trip : 'bool' = False , warnings : 'bool' = True ) -> 'dict[str, Any]' Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#modelmodel_dump Generate a dictionary representation of the model, optionally specifying which fields to include or exclude. Parameters: Name Type Description Default mode None The mode in which to_python should run. If mode is 'json', the dictionary will only contain JSON serializable types. If mode is 'python', the dictionary may contain any Python objects. None include None A list of fields to include in the output. None exclude None A list of fields to exclude from the output. None by_alias None Whether to use the field's alias in the dictionary key if defined. None exclude_unset None Whether to exclude fields that have not been explicitly set. None exclude_defaults None Whether to exclude fields that are set to their default value from the output. None exclude_none None Whether to exclude fields that have a value of None from the output. None round_trip None Whether to enable serialization and deserialization round-trip support. None warnings None Whether to log warnings when invalid fields are encountered. None Returns: Type Description None A dictionary representation of the model. model_dump_json \u00b6 def model_dump_json ( self , * , indent : 'int | None' = None , include : 'IncEx' = None , exclude : 'IncEx' = None , by_alias : 'bool' = False , exclude_unset : 'bool' = False , exclude_defaults : 'bool' = False , exclude_none : 'bool' = False , round_trip : 'bool' = False , warnings : 'bool' = True ) -> 'str' Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#modelmodel_dump_json Generates a JSON representation of the model using Pydantic's to_json method. Parameters: Name Type Description Default indent None Indentation to use in the JSON output. If None is passed, the output will be compact. None include None Field(s) to include in the JSON output. Can take either a string or set of strings. None exclude None Field(s) to exclude from the JSON output. Can take either a string or set of strings. None by_alias None Whether to serialize using field aliases. None exclude_unset None Whether to exclude fields that have not been explicitly set. None exclude_defaults None Whether to exclude fields that have the default value. None exclude_none None Whether to exclude fields that have a value of None . None round_trip None Whether to use serialization/deserialization between JSON and class instance. None warnings None Whether to show any warnings that occurred during serialization. None Returns: Type Description None A JSON string representation of the model. model_post_init \u00b6 def model_post_init ( self , _BaseModel__context : 'Any' ) -> 'None' Override this method to perform additional initialization after __init__ and model_construct . This is useful if you want to do some validation that requires the entire model to be initialized. RegisterMosaic \u00b6 class RegisterMosaic ( __pydantic_self__ , ** data : 'Any' ) Model of /register endpoint input. Ancestors (in MRO) \u00b6 titiler.pgstac.model.PgSTACSearch pydantic.main.BaseModel Class variables \u00b6 model_config model_fields Static methods \u00b6 construct \u00b6 def construct ( _fields_set : 'set[str] | None' = None , ** values : 'Any' ) -> 'Model' from_orm \u00b6 def from_orm ( obj : 'Any' ) -> 'Model' model_construct \u00b6 def model_construct ( _fields_set : 'set[str] | None' = None , ** values : 'Any' ) -> 'Model' Creates a new instance of the Model class with validated data. Creates a new model setting __dict__ and __pydantic_fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed. Behaves as if Config.extra = 'allow' was set since it adds all passed values Parameters: Name Type Description Default _fields_set None The set of field names accepted for the Model instance. None values None Trusted or pre-validated data dictionary. None Returns: Type Description None A new instance of the Model class with validated data. model_json_schema \u00b6 def model_json_schema ( by_alias : 'bool' = True , ref_template : 'str' = '#/$defs/ {model} ' , schema_generator : 'type[GenerateJsonSchema]' = < class ' pydantic . json_schema . GenerateJsonSchema '>, mode : 'JsonSchemaMode' = 'validation' ) -> 'dict[str, Any]' Generates a JSON schema for a model class. Parameters: Name Type Description Default by_alias None Whether to use attribute aliases or not. None ref_template None The reference template. None schema_generator None To override the logic used to generate the JSON schema, as a subclass of GenerateJsonSchema with your desired modifications None mode None The mode in which to generate the schema. None Returns: Type Description None The JSON schema for the given model class. model_parametrized_name \u00b6 def model_parametrized_name ( params : 'tuple[type[Any], ...]' ) -> 'str' Compute the class name for parametrizations of generic classes. This method can be overridden to achieve a custom naming scheme for generic BaseModels. Parameters: Name Type Description Default params None Tuple of types of the class. Given a generic class Model with 2 type variables and a concrete model Model[str, int] , the value (str, int) would be passed to params . None Returns: Type Description None String representing the new class where params are passed to cls as type variables. Raises: Type Description TypeError Raised when trying to generate concrete names for non-generic models. model_rebuild \u00b6 def model_rebuild ( * , force : 'bool' = False , raise_errors : 'bool' = True , _parent_namespace_depth : 'int' = 2 , _types_namespace : 'dict[str, Any] | None' = None ) -> 'bool | None' Try to rebuild the pydantic-core schema for the model. This may be necessary when one of the annotations is a ForwardRef which could not be resolved during the initial attempt to build the schema, and automatic rebuilding fails. Parameters: Name Type Description Default force None Whether to force the rebuilding of the model schema, defaults to False . None raise_errors None Whether to raise errors, defaults to True . None _parent_namespace_depth None The depth level of the parent namespace, defaults to 2. None _types_namespace None The types namespace, defaults to None . None Returns: Type Description None Returns None if the schema is already \"complete\" and rebuilding was not required. If rebuilding was required, returns True if rebuilding was successful, otherwise False . model_validate \u00b6 def model_validate ( obj : 'Any' , * , strict : 'bool | None' = None , from_attributes : 'bool | None' = None , context : 'dict[str, Any] | None' = None ) -> 'Model' Validate a pydantic model instance. Parameters: Name Type Description Default obj None The object to validate. None strict None Whether to raise an exception on invalid fields. None from_attributes None Whether to extract data from object attributes. None context None Additional context to pass to the validator. None Returns: Type Description None The validated model instance. Raises: Type Description ValidationError If the object could not be validated. model_validate_json \u00b6 def model_validate_json ( json_data : 'str | bytes | bytearray' , * , strict : 'bool | None' = None , context : 'dict[str, Any] | None' = None ) -> 'Model' Usage docs: docs.pydantic.dev/2.5/concepts/json/#json-parsing Validate the given JSON data against the Pydantic model. Parameters: Name Type Description Default json_data None The JSON data to validate. None strict None Whether to enforce types strictly. None context None Extra variables to pass to the validator. None Returns: Type Description None The validated Pydantic model. Raises: Type Description ValueError If json_data is not a JSON string. model_validate_strings \u00b6 def model_validate_strings ( obj : 'Any' , * , strict : 'bool | None' = None , context : 'dict[str, Any] | None' = None ) -> 'Model' Validate the given object contains string data against the Pydantic model. Parameters: Name Type Description Default obj None The object contains string data to validate. None strict None Whether to enforce types strictly. None context None Extra variables to pass to the validator. None Returns: Type Description None The validated Pydantic model. parse_file \u00b6 def parse_file ( path : 'str | Path' , * , content_type : 'str | None' = None , encoding : 'str' = 'utf8' , proto : 'DeprecatedParseProtocol | None' = None , allow_pickle : 'bool' = False ) -> 'Model' parse_obj \u00b6 def parse_obj ( obj : 'Any' ) -> 'Model' parse_raw \u00b6 def parse_raw ( b : 'str | bytes' , * , content_type : 'str | None' = None , encoding : 'str' = 'utf8' , proto : 'DeprecatedParseProtocol | None' = None , allow_pickle : 'bool' = False ) -> 'Model' schema \u00b6 def schema ( by_alias : 'bool' = True , ref_template : 'str' = '#/$defs/ {model} ' ) -> 'typing.Dict[str, Any]' schema_json \u00b6 def schema_json ( * , by_alias : 'bool' = True , ref_template : 'str' = '#/$defs/ {model} ' , ** dumps_kwargs : 'Any' ) -> 'str' update_forward_refs \u00b6 def update_forward_refs ( ** localns : 'Any' ) -> 'None' validate \u00b6 def validate ( value : 'Any' ) -> 'Model' validate_bbox \u00b6 def validate_bbox ( v : Union [ Tuple [ float , float , float , float ], Tuple [ float , float , float , float , float , float ]] ) Validate BBOX. validate_datetime \u00b6 def validate_datetime ( v ) Pgstac does not require the base validator for datetime. validate_query_fields \u00b6 def validate_query_fields ( values : Dict ) -> Dict Pgstac does not require the base validator for query fields. validate_spatial \u00b6 def validate_spatial ( v : Union [ typing_extensions . Annotated [ Union [ geojson_pydantic . geometries . Point , geojson_pydantic . geometries . MultiPoint , geojson_pydantic . geometries . LineString , geojson_pydantic . geometries . MultiLineString , geojson_pydantic . geometries . Polygon , geojson_pydantic . geometries . MultiPolygon , geojson_pydantic . geometries . GeometryCollection ], FieldInfo ( annotation = NoneType , required = True , discriminator = 'type' )], NoneType ], info : pydantic_core . core_schema . ValidationInfo ) Make sure bbox is not used with Intersects. Instance variables \u00b6 model_computed_fields Get the computed fields of this model instance. model_extra Get extra fields set during validation. model_fields_set Returns the set of fields that have been explicitly set on this model instance. Methods \u00b6 copy \u00b6 def copy ( self : 'Model' , * , include : 'AbstractSetIntStr | MappingIntStrAny | None' = None , exclude : 'AbstractSetIntStr | MappingIntStrAny | None' = None , update : 'typing.Dict[str, Any] | None' = None , deep : 'bool' = False ) -> 'Model' Returns a copy of the model. Deprecated This method is now deprecated; use model_copy instead. If you need include or exclude , use: data = self . model_dump ( include = include , exclude = exclude , round_trip = True ) data = { ** data , ** ( update or {})} copied = self . model_validate ( data ) Parameters: Name Type Description Default include None Optional set or mapping specifying which fields to include in the copied model. None exclude None Optional set or mapping specifying which fields to exclude in the copied model. None update None Optional dictionary of field-value pairs to override field values in the copied model. None deep None If True, the values of fields that are Pydantic models will be deep copied. None Returns: Type Description None A copy of the model with included, excluded and updated fields as specified. dict \u00b6 def dict ( self , * , include : 'IncEx' = None , exclude : 'IncEx' = None , by_alias : 'bool' = False , exclude_unset : 'bool' = False , exclude_defaults : 'bool' = False , exclude_none : 'bool' = False ) -> 'typing.Dict[str, Any]' json \u00b6 def json ( self , * , include : 'IncEx' = None , exclude : 'IncEx' = None , by_alias : 'bool' = False , exclude_unset : 'bool' = False , exclude_defaults : 'bool' = False , exclude_none : 'bool' = False , encoder : 'typing.Callable[[Any], Any] | None' = PydanticUndefined , models_as_dict : 'bool' = PydanticUndefined , ** dumps_kwargs : 'Any' ) -> 'str' model_copy \u00b6 def model_copy ( self : 'Model' , * , update : 'dict[str, Any] | None' = None , deep : 'bool' = False ) -> 'Model' Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#model_copy Returns a copy of the model. Parameters: Name Type Description Default update None Values to change/add in the new model. Note: the data is not validated before creating the new model. You should trust this data. None deep None Set to True to make a deep copy of the model. None Returns: Type Description None New model instance. model_dump \u00b6 def model_dump ( self , * , mode : \"Literal[('json', 'python')] | str\" = 'python' , include : 'IncEx' = None , exclude : 'IncEx' = None , by_alias : 'bool' = False , exclude_unset : 'bool' = False , exclude_defaults : 'bool' = False , exclude_none : 'bool' = False , round_trip : 'bool' = False , warnings : 'bool' = True ) -> 'dict[str, Any]' Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#modelmodel_dump Generate a dictionary representation of the model, optionally specifying which fields to include or exclude. Parameters: Name Type Description Default mode None The mode in which to_python should run. If mode is 'json', the dictionary will only contain JSON serializable types. If mode is 'python', the dictionary may contain any Python objects. None include None A list of fields to include in the output. None exclude None A list of fields to exclude from the output. None by_alias None Whether to use the field's alias in the dictionary key if defined. None exclude_unset None Whether to exclude fields that have not been explicitly set. None exclude_defaults None Whether to exclude fields that are set to their default value from the output. None exclude_none None Whether to exclude fields that have a value of None from the output. None round_trip None Whether to enable serialization and deserialization round-trip support. None warnings None Whether to log warnings when invalid fields are encountered. None Returns: Type Description None A dictionary representation of the model. model_dump_json \u00b6 def model_dump_json ( self , * , indent : 'int | None' = None , include : 'IncEx' = None , exclude : 'IncEx' = None , by_alias : 'bool' = False , exclude_unset : 'bool' = False , exclude_defaults : 'bool' = False , exclude_none : 'bool' = False , round_trip : 'bool' = False , warnings : 'bool' = True ) -> 'str' Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#modelmodel_dump_json Generates a JSON representation of the model using Pydantic's to_json method. Parameters: Name Type Description Default indent None Indentation to use in the JSON output. If None is passed, the output will be compact. None include None Field(s) to include in the JSON output. Can take either a string or set of strings. None exclude None Field(s) to exclude from the JSON output. Can take either a string or set of strings. None by_alias None Whether to serialize using field aliases. None exclude_unset None Whether to exclude fields that have not been explicitly set. None exclude_defaults None Whether to exclude fields that have the default value. None exclude_none None Whether to exclude fields that have a value of None . None round_trip None Whether to use serialization/deserialization between JSON and class instance. None warnings None Whether to show any warnings that occurred during serialization. None Returns: Type Description None A JSON string representation of the model. model_post_init \u00b6 def model_post_init ( self , _BaseModel__context : 'Any' ) -> 'None' Override this method to perform additional initialization after __init__ and model_construct . This is useful if you want to do some validation that requires the entire model to be initialized. RegisterResponse \u00b6 class RegisterResponse ( __pydantic_self__ , ** data : 'Any' ) Response model for /register endpoint. Ancestors (in MRO) \u00b6 pydantic.main.BaseModel Class variables \u00b6 model_config model_fields Static methods \u00b6 construct \u00b6 def construct ( _fields_set : 'set[str] | None' = None , ** values : 'Any' ) -> 'Model' from_orm \u00b6 def from_orm ( obj : 'Any' ) -> 'Model' model_construct \u00b6 def model_construct ( _fields_set : 'set[str] | None' = None , ** values : 'Any' ) -> 'Model' Creates a new instance of the Model class with validated data. Creates a new model setting __dict__ and __pydantic_fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed. Behaves as if Config.extra = 'allow' was set since it adds all passed values Parameters: Name Type Description Default _fields_set None The set of field names accepted for the Model instance. None values None Trusted or pre-validated data dictionary. None Returns: Type Description None A new instance of the Model class with validated data. model_json_schema \u00b6 def model_json_schema ( by_alias : 'bool' = True , ref_template : 'str' = '#/$defs/ {model} ' , schema_generator : 'type[GenerateJsonSchema]' = < class ' pydantic . json_schema . GenerateJsonSchema '>, mode : 'JsonSchemaMode' = 'validation' ) -> 'dict[str, Any]' Generates a JSON schema for a model class. Parameters: Name Type Description Default by_alias None Whether to use attribute aliases or not. None ref_template None The reference template. None schema_generator None To override the logic used to generate the JSON schema, as a subclass of GenerateJsonSchema with your desired modifications None mode None The mode in which to generate the schema. None Returns: Type Description None The JSON schema for the given model class. model_parametrized_name \u00b6 def model_parametrized_name ( params : 'tuple[type[Any], ...]' ) -> 'str' Compute the class name for parametrizations of generic classes. This method can be overridden to achieve a custom naming scheme for generic BaseModels. Parameters: Name Type Description Default params None Tuple of types of the class. Given a generic class Model with 2 type variables and a concrete model Model[str, int] , the value (str, int) would be passed to params . None Returns: Type Description None String representing the new class where params are passed to cls as type variables. Raises: Type Description TypeError Raised when trying to generate concrete names for non-generic models. model_rebuild \u00b6 def model_rebuild ( * , force : 'bool' = False , raise_errors : 'bool' = True , _parent_namespace_depth : 'int' = 2 , _types_namespace : 'dict[str, Any] | None' = None ) -> 'bool | None' Try to rebuild the pydantic-core schema for the model. This may be necessary when one of the annotations is a ForwardRef which could not be resolved during the initial attempt to build the schema, and automatic rebuilding fails. Parameters: Name Type Description Default force None Whether to force the rebuilding of the model schema, defaults to False . None raise_errors None Whether to raise errors, defaults to True . None _parent_namespace_depth None The depth level of the parent namespace, defaults to 2. None _types_namespace None The types namespace, defaults to None . None Returns: Type Description None Returns None if the schema is already \"complete\" and rebuilding was not required. If rebuilding was required, returns True if rebuilding was successful, otherwise False . model_validate \u00b6 def model_validate ( obj : 'Any' , * , strict : 'bool | None' = None , from_attributes : 'bool | None' = None , context : 'dict[str, Any] | None' = None ) -> 'Model' Validate a pydantic model instance. Parameters: Name Type Description Default obj None The object to validate. None strict None Whether to raise an exception on invalid fields. None from_attributes None Whether to extract data from object attributes. None context None Additional context to pass to the validator. None Returns: Type Description None The validated model instance. Raises: Type Description ValidationError If the object could not be validated. model_validate_json \u00b6 def model_validate_json ( json_data : 'str | bytes | bytearray' , * , strict : 'bool | None' = None , context : 'dict[str, Any] | None' = None ) -> 'Model' Usage docs: docs.pydantic.dev/2.5/concepts/json/#json-parsing Validate the given JSON data against the Pydantic model. Parameters: Name Type Description Default json_data None The JSON data to validate. None strict None Whether to enforce types strictly. None context None Extra variables to pass to the validator. None Returns: Type Description None The validated Pydantic model. Raises: Type Description ValueError If json_data is not a JSON string. model_validate_strings \u00b6 def model_validate_strings ( obj : 'Any' , * , strict : 'bool | None' = None , context : 'dict[str, Any] | None' = None ) -> 'Model' Validate the given object contains string data against the Pydantic model. Parameters: Name Type Description Default obj None The object contains string data to validate. None strict None Whether to enforce types strictly. None context None Extra variables to pass to the validator. None Returns: Type Description None The validated Pydantic model. parse_file \u00b6 def parse_file ( path : 'str | Path' , * , content_type : 'str | None' = None , encoding : 'str' = 'utf8' , proto : 'DeprecatedParseProtocol | None' = None , allow_pickle : 'bool' = False ) -> 'Model' parse_obj \u00b6 def parse_obj ( obj : 'Any' ) -> 'Model' parse_raw \u00b6 def parse_raw ( b : 'str | bytes' , * , content_type : 'str | None' = None , encoding : 'str' = 'utf8' , proto : 'DeprecatedParseProtocol | None' = None , allow_pickle : 'bool' = False ) -> 'Model' schema \u00b6 def schema ( by_alias : 'bool' = True , ref_template : 'str' = '#/$defs/ {model} ' ) -> 'typing.Dict[str, Any]' schema_json \u00b6 def schema_json ( * , by_alias : 'bool' = True , ref_template : 'str' = '#/$defs/ {model} ' , ** dumps_kwargs : 'Any' ) -> 'str' update_forward_refs \u00b6 def update_forward_refs ( ** localns : 'Any' ) -> 'None' validate \u00b6 def validate ( value : 'Any' ) -> 'Model' Instance variables \u00b6 model_computed_fields Get the computed fields of this model instance. model_extra Get extra fields set during validation. model_fields_set Returns the set of fields that have been explicitly set on this model instance. Methods \u00b6 copy \u00b6 def copy ( self : 'Model' , * , include : 'AbstractSetIntStr | MappingIntStrAny | None' = None , exclude : 'AbstractSetIntStr | MappingIntStrAny | None' = None , update : 'typing.Dict[str, Any] | None' = None , deep : 'bool' = False ) -> 'Model' Returns a copy of the model. Deprecated This method is now deprecated; use model_copy instead. If you need include or exclude , use: data = self . model_dump ( include = include , exclude = exclude , round_trip = True ) data = { ** data , ** ( update or {})} copied = self . model_validate ( data ) Parameters: Name Type Description Default include None Optional set or mapping specifying which fields to include in the copied model. None exclude None Optional set or mapping specifying which fields to exclude in the copied model. None update None Optional dictionary of field-value pairs to override field values in the copied model. None deep None If True, the values of fields that are Pydantic models will be deep copied. None Returns: Type Description None A copy of the model with included, excluded and updated fields as specified. dict \u00b6 def dict ( self , * , include : 'IncEx' = None , exclude : 'IncEx' = None , by_alias : 'bool' = False , exclude_unset : 'bool' = False , exclude_defaults : 'bool' = False , exclude_none : 'bool' = False ) -> 'typing.Dict[str, Any]' json \u00b6 def json ( self , * , include : 'IncEx' = None , exclude : 'IncEx' = None , by_alias : 'bool' = False , exclude_unset : 'bool' = False , exclude_defaults : 'bool' = False , exclude_none : 'bool' = False , encoder : 'typing.Callable[[Any], Any] | None' = PydanticUndefined , models_as_dict : 'bool' = PydanticUndefined , ** dumps_kwargs : 'Any' ) -> 'str' model_copy \u00b6 def model_copy ( self : 'Model' , * , update : 'dict[str, Any] | None' = None , deep : 'bool' = False ) -> 'Model' Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#model_copy Returns a copy of the model. Parameters: Name Type Description Default update None Values to change/add in the new model. Note: the data is not validated before creating the new model. You should trust this data. None deep None Set to True to make a deep copy of the model. None Returns: Type Description None New model instance. model_dump \u00b6 def model_dump ( self , * , mode : \"Literal[('json', 'python')] | str\" = 'python' , include : 'IncEx' = None , exclude : 'IncEx' = None , by_alias : 'bool' = False , exclude_unset : 'bool' = False , exclude_defaults : 'bool' = False , exclude_none : 'bool' = False , round_trip : 'bool' = False , warnings : 'bool' = True ) -> 'dict[str, Any]' Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#modelmodel_dump Generate a dictionary representation of the model, optionally specifying which fields to include or exclude. Parameters: Name Type Description Default mode None The mode in which to_python should run. If mode is 'json', the dictionary will only contain JSON serializable types. If mode is 'python', the dictionary may contain any Python objects. None include None A list of fields to include in the output. None exclude None A list of fields to exclude from the output. None by_alias None Whether to use the field's alias in the dictionary key if defined. None exclude_unset None Whether to exclude fields that have not been explicitly set. None exclude_defaults None Whether to exclude fields that are set to their default value from the output. None exclude_none None Whether to exclude fields that have a value of None from the output. None round_trip None Whether to enable serialization and deserialization round-trip support. None warnings None Whether to log warnings when invalid fields are encountered. None Returns: Type Description None A dictionary representation of the model. model_dump_json \u00b6 def model_dump_json ( self , * , indent : 'int | None' = None , include : 'IncEx' = None , exclude : 'IncEx' = None , by_alias : 'bool' = False , exclude_unset : 'bool' = False , exclude_defaults : 'bool' = False , exclude_none : 'bool' = False , round_trip : 'bool' = False , warnings : 'bool' = True ) -> 'str' Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#modelmodel_dump_json Generates a JSON representation of the model using Pydantic's to_json method. Parameters: Name Type Description Default indent None Indentation to use in the JSON output. If None is passed, the output will be compact. None include None Field(s) to include in the JSON output. Can take either a string or set of strings. None exclude None Field(s) to exclude from the JSON output. Can take either a string or set of strings. None by_alias None Whether to serialize using field aliases. None exclude_unset None Whether to exclude fields that have not been explicitly set. None exclude_defaults None Whether to exclude fields that have the default value. None exclude_none None Whether to exclude fields that have a value of None . None round_trip None Whether to use serialization/deserialization between JSON and class instance. None warnings None Whether to show any warnings that occurred during serialization. None Returns: Type Description None A JSON string representation of the model. model_post_init \u00b6 def model_post_init ( self , _BaseModel__context : 'Any' ) -> 'None' Override this method to perform additional initialization after __init__ and model_construct . This is useful if you want to do some validation that requires the entire model to be initialized. Search \u00b6 class Search ( __pydantic_self__ , ** data : 'Any' ) PgSTAC Search entry. ref: github.com/stac-utils/pgstac/blob/3499daa2bfa700ae7bb07503795c169bf2ebafc7/sql/004_search.sql#L907-L915 Ancestors (in MRO) \u00b6 pydantic.main.BaseModel Class variables \u00b6 model_config model_fields Static methods \u00b6 construct \u00b6 def construct ( _fields_set : 'set[str] | None' = None , ** values : 'Any' ) -> 'Model' from_orm \u00b6 def from_orm ( obj : 'Any' ) -> 'Model' model_construct \u00b6 def model_construct ( _fields_set : 'set[str] | None' = None , ** values : 'Any' ) -> 'Model' Creates a new instance of the Model class with validated data. Creates a new model setting __dict__ and __pydantic_fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed. Behaves as if Config.extra = 'allow' was set since it adds all passed values Parameters: Name Type Description Default _fields_set None The set of field names accepted for the Model instance. None values None Trusted or pre-validated data dictionary. None Returns: Type Description None A new instance of the Model class with validated data. model_json_schema \u00b6 def model_json_schema ( by_alias : 'bool' = True , ref_template : 'str' = '#/$defs/ {model} ' , schema_generator : 'type[GenerateJsonSchema]' = < class ' pydantic . json_schema . GenerateJsonSchema '>, mode : 'JsonSchemaMode' = 'validation' ) -> 'dict[str, Any]' Generates a JSON schema for a model class. Parameters: Name Type Description Default by_alias None Whether to use attribute aliases or not. None ref_template None The reference template. None schema_generator None To override the logic used to generate the JSON schema, as a subclass of GenerateJsonSchema with your desired modifications None mode None The mode in which to generate the schema. None Returns: Type Description None The JSON schema for the given model class. model_parametrized_name \u00b6 def model_parametrized_name ( params : 'tuple[type[Any], ...]' ) -> 'str' Compute the class name for parametrizations of generic classes. This method can be overridden to achieve a custom naming scheme for generic BaseModels. Parameters: Name Type Description Default params None Tuple of types of the class. Given a generic class Model with 2 type variables and a concrete model Model[str, int] , the value (str, int) would be passed to params . None Returns: Type Description None String representing the new class where params are passed to cls as type variables. Raises: Type Description TypeError Raised when trying to generate concrete names for non-generic models. model_rebuild \u00b6 def model_rebuild ( * , force : 'bool' = False , raise_errors : 'bool' = True , _parent_namespace_depth : 'int' = 2 , _types_namespace : 'dict[str, Any] | None' = None ) -> 'bool | None' Try to rebuild the pydantic-core schema for the model. This may be necessary when one of the annotations is a ForwardRef which could not be resolved during the initial attempt to build the schema, and automatic rebuilding fails. Parameters: Name Type Description Default force None Whether to force the rebuilding of the model schema, defaults to False . None raise_errors None Whether to raise errors, defaults to True . None _parent_namespace_depth None The depth level of the parent namespace, defaults to 2. None _types_namespace None The types namespace, defaults to None . None Returns: Type Description None Returns None if the schema is already \"complete\" and rebuilding was not required. If rebuilding was required, returns True if rebuilding was successful, otherwise False . model_validate \u00b6 def model_validate ( obj : 'Any' , * , strict : 'bool | None' = None , from_attributes : 'bool | None' = None , context : 'dict[str, Any] | None' = None ) -> 'Model' Validate a pydantic model instance. Parameters: Name Type Description Default obj None The object to validate. None strict None Whether to raise an exception on invalid fields. None from_attributes None Whether to extract data from object attributes. None context None Additional context to pass to the validator. None Returns: Type Description None The validated model instance. Raises: Type Description ValidationError If the object could not be validated. model_validate_json \u00b6 def model_validate_json ( json_data : 'str | bytes | bytearray' , * , strict : 'bool | None' = None , context : 'dict[str, Any] | None' = None ) -> 'Model' Usage docs: docs.pydantic.dev/2.5/concepts/json/#json-parsing Validate the given JSON data against the Pydantic model. Parameters: Name Type Description Default json_data None The JSON data to validate. None strict None Whether to enforce types strictly. None context None Extra variables to pass to the validator. None Returns: Type Description None The validated Pydantic model. Raises: Type Description ValueError If json_data is not a JSON string. model_validate_strings \u00b6 def model_validate_strings ( obj : 'Any' , * , strict : 'bool | None' = None , context : 'dict[str, Any] | None' = None ) -> 'Model' Validate the given object contains string data against the Pydantic model. Parameters: Name Type Description Default obj None The object contains string data to validate. None strict None Whether to enforce types strictly. None context None Extra variables to pass to the validator. None Returns: Type Description None The validated Pydantic model. parse_file \u00b6 def parse_file ( path : 'str | Path' , * , content_type : 'str | None' = None , encoding : 'str' = 'utf8' , proto : 'DeprecatedParseProtocol | None' = None , allow_pickle : 'bool' = False ) -> 'Model' parse_obj \u00b6 def parse_obj ( obj : 'Any' ) -> 'Model' parse_raw \u00b6 def parse_raw ( b : 'str | bytes' , * , content_type : 'str | None' = None , encoding : 'str' = 'utf8' , proto : 'DeprecatedParseProtocol | None' = None , allow_pickle : 'bool' = False ) -> 'Model' schema \u00b6 def schema ( by_alias : 'bool' = True , ref_template : 'str' = '#/$defs/ {model} ' ) -> 'typing.Dict[str, Any]' schema_json \u00b6 def schema_json ( * , by_alias : 'bool' = True , ref_template : 'str' = '#/$defs/ {model} ' , ** dumps_kwargs : 'Any' ) -> 'str' update_forward_refs \u00b6 def update_forward_refs ( ** localns : 'Any' ) -> 'None' validate \u00b6 def validate ( value : 'Any' ) -> 'Model' validate_metadata \u00b6 def validate_metadata ( v ) Set SearchType.search when not present in metadata. Instance variables \u00b6 model_computed_fields Get the computed fields of this model instance. model_extra Get extra fields set during validation. model_fields_set Returns the set of fields that have been explicitly set on this model instance. Methods \u00b6 copy \u00b6 def copy ( self : 'Model' , * , include : 'AbstractSetIntStr | MappingIntStrAny | None' = None , exclude : 'AbstractSetIntStr | MappingIntStrAny | None' = None , update : 'typing.Dict[str, Any] | None' = None , deep : 'bool' = False ) -> 'Model' Returns a copy of the model. Deprecated This method is now deprecated; use model_copy instead. If you need include or exclude , use: data = self . model_dump ( include = include , exclude = exclude , round_trip = True ) data = { ** data , ** ( update or {})} copied = self . model_validate ( data ) Parameters: Name Type Description Default include None Optional set or mapping specifying which fields to include in the copied model. None exclude None Optional set or mapping specifying which fields to exclude in the copied model. None update None Optional dictionary of field-value pairs to override field values in the copied model. None deep None If True, the values of fields that are Pydantic models will be deep copied. None Returns: Type Description None A copy of the model with included, excluded and updated fields as specified. dict \u00b6 def dict ( self , * , include : 'IncEx' = None , exclude : 'IncEx' = None , by_alias : 'bool' = False , exclude_unset : 'bool' = False , exclude_defaults : 'bool' = False , exclude_none : 'bool' = False ) -> 'typing.Dict[str, Any]' json \u00b6 def json ( self , * , include : 'IncEx' = None , exclude : 'IncEx' = None , by_alias : 'bool' = False , exclude_unset : 'bool' = False , exclude_defaults : 'bool' = False , exclude_none : 'bool' = False , encoder : 'typing.Callable[[Any], Any] | None' = PydanticUndefined , models_as_dict : 'bool' = PydanticUndefined , ** dumps_kwargs : 'Any' ) -> 'str' model_copy \u00b6 def model_copy ( self : 'Model' , * , update : 'dict[str, Any] | None' = None , deep : 'bool' = False ) -> 'Model' Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#model_copy Returns a copy of the model. Parameters: Name Type Description Default update None Values to change/add in the new model. Note: the data is not validated before creating the new model. You should trust this data. None deep None Set to True to make a deep copy of the model. None Returns: Type Description None New model instance. model_dump \u00b6 def model_dump ( self , * , mode : \"Literal[('json', 'python')] | str\" = 'python' , include : 'IncEx' = None , exclude : 'IncEx' = None , by_alias : 'bool' = False , exclude_unset : 'bool' = False , exclude_defaults : 'bool' = False , exclude_none : 'bool' = False , round_trip : 'bool' = False , warnings : 'bool' = True ) -> 'dict[str, Any]' Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#modelmodel_dump Generate a dictionary representation of the model, optionally specifying which fields to include or exclude. Parameters: Name Type Description Default mode None The mode in which to_python should run. If mode is 'json', the dictionary will only contain JSON serializable types. If mode is 'python', the dictionary may contain any Python objects. None include None A list of fields to include in the output. None exclude None A list of fields to exclude from the output. None by_alias None Whether to use the field's alias in the dictionary key if defined. None exclude_unset None Whether to exclude fields that have not been explicitly set. None exclude_defaults None Whether to exclude fields that are set to their default value from the output. None exclude_none None Whether to exclude fields that have a value of None from the output. None round_trip None Whether to enable serialization and deserialization round-trip support. None warnings None Whether to log warnings when invalid fields are encountered. None Returns: Type Description None A dictionary representation of the model. model_dump_json \u00b6 def model_dump_json ( self , * , indent : 'int | None' = None , include : 'IncEx' = None , exclude : 'IncEx' = None , by_alias : 'bool' = False , exclude_unset : 'bool' = False , exclude_defaults : 'bool' = False , exclude_none : 'bool' = False , round_trip : 'bool' = False , warnings : 'bool' = True ) -> 'str' Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#modelmodel_dump_json Generates a JSON representation of the model using Pydantic's to_json method. Parameters: Name Type Description Default indent None Indentation to use in the JSON output. If None is passed, the output will be compact. None include None Field(s) to include in the JSON output. Can take either a string or set of strings. None exclude None Field(s) to exclude from the JSON output. Can take either a string or set of strings. None by_alias None Whether to serialize using field aliases. None exclude_unset None Whether to exclude fields that have not been explicitly set. None exclude_defaults None Whether to exclude fields that have the default value. None exclude_none None Whether to exclude fields that have a value of None . None round_trip None Whether to use serialization/deserialization between JSON and class instance. None warnings None Whether to show any warnings that occurred during serialization. None Returns: Type Description None A JSON string representation of the model. model_post_init \u00b6 def model_post_init ( self , _BaseModel__context : 'Any' ) -> 'None' Override this method to perform additional initialization after __init__ and model_construct . This is useful if you want to do some validation that requires the entire model to be initialized.","title":"model"},{"location":"api/titiler/pgstac/model/#module-titilerpgstacmodel","text":"Titiler.pgstac models. 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Creates a new model setting __dict__ and __pydantic_fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed. Behaves as if Config.extra = 'allow' was set since it adds all passed values Parameters: Name Type Description Default _fields_set None The set of field names accepted for the Model instance. None values None Trusted or pre-validated data dictionary. None Returns: Type Description None A new instance of the Model class with validated data.","title":"model_construct"},{"location":"api/titiler/pgstac/model/#model_json_schema","text":"def model_json_schema ( by_alias : 'bool' = True , ref_template : 'str' = '#/$defs/ {model} ' , schema_generator : 'type[GenerateJsonSchema]' = < class ' pydantic . json_schema . GenerateJsonSchema '>, mode : 'JsonSchemaMode' = 'validation' ) -> 'dict[str, Any]' Generates a JSON schema for a model class. Parameters: Name Type Description Default by_alias None Whether to use attribute aliases or not. None ref_template None The reference template. None schema_generator None To override the logic used to generate the JSON schema, as a subclass of GenerateJsonSchema with your desired modifications None mode None The mode in which to generate the schema. None Returns: Type Description None The JSON schema for the given model class.","title":"model_json_schema"},{"location":"api/titiler/pgstac/model/#model_parametrized_name","text":"def model_parametrized_name ( params : 'tuple[type[Any], ...]' ) -> 'str' Compute the class name for parametrizations of generic classes. This method can be overridden to achieve a custom naming scheme for generic BaseModels. Parameters: Name Type Description Default params None Tuple of types of the class. Given a generic class Model with 2 type variables and a concrete model Model[str, int] , the value (str, int) would be passed to params . None Returns: Type Description None String representing the new class where params are passed to cls as type variables. Raises: Type Description TypeError Raised when trying to generate concrete names for non-generic models.","title":"model_parametrized_name"},{"location":"api/titiler/pgstac/model/#model_rebuild","text":"def model_rebuild ( * , force : 'bool' = False , raise_errors : 'bool' = True , _parent_namespace_depth : 'int' = 2 , _types_namespace : 'dict[str, Any] | None' = None ) -> 'bool | None' Try to rebuild the pydantic-core schema for the model. This may be necessary when one of the annotations is a ForwardRef which could not be resolved during the initial attempt to build the schema, and automatic rebuilding fails. Parameters: Name Type Description Default force None Whether to force the rebuilding of the model schema, defaults to False . None raise_errors None Whether to raise errors, defaults to True . None _parent_namespace_depth None The depth level of the parent namespace, defaults to 2. None _types_namespace None The types namespace, defaults to None . None Returns: Type Description None Returns None if the schema is already \"complete\" and rebuilding was not required. If rebuilding was required, returns True if rebuilding was successful, otherwise False .","title":"model_rebuild"},{"location":"api/titiler/pgstac/model/#model_validate","text":"def model_validate ( obj : 'Any' , * , strict : 'bool | None' = None , from_attributes : 'bool | None' = None , context : 'dict[str, Any] | None' = None ) -> 'Model' Validate a pydantic model instance. Parameters: Name Type Description Default obj None The object to validate. None strict None Whether to raise an exception on invalid fields. None from_attributes None Whether to extract data from object attributes. None context None Additional context to pass to the validator. None Returns: Type Description None The validated model instance. Raises: Type Description ValidationError If the object could not be validated.","title":"model_validate"},{"location":"api/titiler/pgstac/model/#model_validate_json","text":"def model_validate_json ( json_data : 'str | bytes | bytearray' , * , strict : 'bool | None' = None , context : 'dict[str, Any] | None' = None ) -> 'Model' Usage docs: docs.pydantic.dev/2.5/concepts/json/#json-parsing Validate the given JSON data against the Pydantic model. Parameters: Name Type Description Default json_data None The JSON data to validate. None strict None Whether to enforce types strictly. None context None Extra variables to pass to the validator. None Returns: Type Description None The validated Pydantic model. Raises: Type Description ValueError If json_data is not a JSON string.","title":"model_validate_json"},{"location":"api/titiler/pgstac/model/#model_validate_strings","text":"def model_validate_strings ( obj : 'Any' , * , strict : 'bool | None' = None , context : 'dict[str, Any] | None' = None ) -> 'Model' Validate the given object contains string data against the Pydantic model. Parameters: Name Type Description Default obj None The object contains string data to validate. None strict None Whether to enforce types strictly. None context None Extra variables to pass to the validator. None Returns: Type Description None The validated Pydantic model.","title":"model_validate_strings"},{"location":"api/titiler/pgstac/model/#parse_file","text":"def parse_file ( path : 'str | Path' , * , content_type : 'str | None' = None , encoding : 'str' = 'utf8' , proto : 'DeprecatedParseProtocol | None' = None , allow_pickle : 'bool' = False ) -> 'Model'","title":"parse_file"},{"location":"api/titiler/pgstac/model/#parse_obj","text":"def parse_obj ( obj : 'Any' ) -> 'Model'","title":"parse_obj"},{"location":"api/titiler/pgstac/model/#parse_raw","text":"def parse_raw ( b : 'str | bytes' , * , content_type : 'str | None' = None , encoding : 'str' = 'utf8' , proto : 'DeprecatedParseProtocol | None' = None , allow_pickle : 'bool' = False ) -> 'Model'","title":"parse_raw"},{"location":"api/titiler/pgstac/model/#schema","text":"def schema ( by_alias : 'bool' = True , ref_template : 'str' = '#/$defs/ {model} ' ) -> 'typing.Dict[str, Any]'","title":"schema"},{"location":"api/titiler/pgstac/model/#schema_json","text":"def schema_json ( * , by_alias : 'bool' = True , ref_template : 'str' = '#/$defs/ {model} ' , ** dumps_kwargs : 'Any' ) -> 'str'","title":"schema_json"},{"location":"api/titiler/pgstac/model/#update_forward_refs","text":"def update_forward_refs ( ** localns : 'Any' ) -> 'None'","title":"update_forward_refs"},{"location":"api/titiler/pgstac/model/#validate","text":"def validate ( value : 'Any' ) -> 'Model'","title":"validate"},{"location":"api/titiler/pgstac/model/#validate_limit","text":"def validate_limit ( v , info : pydantic_core . core_schema . ValidationInfo ) validate limit.","title":"validate_limit"},{"location":"api/titiler/pgstac/model/#instance-variables","text":"model_computed_fields Get the computed fields of this model instance. model_extra Get extra fields set during validation. model_fields_set Returns the set of fields that have been explicitly set on this model instance.","title":"Instance variables"},{"location":"api/titiler/pgstac/model/#methods","text":"","title":"Methods"},{"location":"api/titiler/pgstac/model/#copy","text":"def copy ( self : 'Model' , * , include : 'AbstractSetIntStr | MappingIntStrAny | None' = None , exclude : 'AbstractSetIntStr | MappingIntStrAny | None' = None , update : 'typing.Dict[str, Any] | None' = None , deep : 'bool' = False ) -> 'Model' Returns a copy of the model. Deprecated This method is now deprecated; use model_copy instead. If you need include or exclude , use: data = self . model_dump ( include = include , exclude = exclude , round_trip = True ) data = { ** data , ** ( update or {})} copied = self . model_validate ( data ) Parameters: Name Type Description Default include None Optional set or mapping specifying which fields to include in the copied model. None exclude None Optional set or mapping specifying which fields to exclude in the copied model. None update None Optional dictionary of field-value pairs to override field values in the copied model. None deep None If True, the values of fields that are Pydantic models will be deep copied. None Returns: Type Description None A copy of the model with included, excluded and updated fields as specified.","title":"copy"},{"location":"api/titiler/pgstac/model/#dict","text":"def dict ( self , * , include : 'IncEx' = None , exclude : 'IncEx' = None , by_alias : 'bool' = False , exclude_unset : 'bool' = False , exclude_defaults : 'bool' = False , exclude_none : 'bool' = False ) -> 'typing.Dict[str, Any]'","title":"dict"},{"location":"api/titiler/pgstac/model/#json","text":"def json ( self , * , include : 'IncEx' = None , exclude : 'IncEx' = None , by_alias : 'bool' = False , exclude_unset : 'bool' = False , exclude_defaults : 'bool' = False , exclude_none : 'bool' = False , encoder : 'typing.Callable[[Any], Any] | None' = PydanticUndefined , models_as_dict : 'bool' = PydanticUndefined , ** dumps_kwargs : 'Any' ) -> 'str'","title":"json"},{"location":"api/titiler/pgstac/model/#model_copy","text":"def model_copy ( self : 'Model' , * , update : 'dict[str, Any] | None' = None , deep : 'bool' = False ) -> 'Model' Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#model_copy Returns a copy of the model. Parameters: Name Type Description Default update None Values to change/add in the new model. Note: the data is not validated before creating the new model. You should trust this data. None deep None Set to True to make a deep copy of the model. None Returns: Type Description None New model instance.","title":"model_copy"},{"location":"api/titiler/pgstac/model/#model_dump","text":"def model_dump ( self , * , mode : \"Literal[('json', 'python')] | str\" = 'python' , include : 'IncEx' = None , exclude : 'IncEx' = None , by_alias : 'bool' = False , exclude_unset : 'bool' = False , exclude_defaults : 'bool' = False , exclude_none : 'bool' = False , round_trip : 'bool' = False , warnings : 'bool' = True ) -> 'dict[str, Any]' Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#modelmodel_dump Generate a dictionary representation of the model, optionally specifying which fields to include or exclude. Parameters: Name Type Description Default mode None The mode in which to_python should run. If mode is 'json', the dictionary will only contain JSON serializable types. If mode is 'python', the dictionary may contain any Python objects. None include None A list of fields to include in the output. None exclude None A list of fields to exclude from the output. None by_alias None Whether to use the field's alias in the dictionary key if defined. None exclude_unset None Whether to exclude fields that have not been explicitly set. None exclude_defaults None Whether to exclude fields that are set to their default value from the output. None exclude_none None Whether to exclude fields that have a value of None from the output. None round_trip None Whether to enable serialization and deserialization round-trip support. None warnings None Whether to log warnings when invalid fields are encountered. None Returns: Type Description None A dictionary representation of the model.","title":"model_dump"},{"location":"api/titiler/pgstac/model/#model_dump_json","text":"def model_dump_json ( self , * , indent : 'int | None' = None , include : 'IncEx' = None , exclude : 'IncEx' = None , by_alias : 'bool' = False , exclude_unset : 'bool' = False , exclude_defaults : 'bool' = False , exclude_none : 'bool' = False , round_trip : 'bool' = False , warnings : 'bool' = True ) -> 'str' Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#modelmodel_dump_json Generates a JSON representation of the model using Pydantic's to_json method. Parameters: Name Type Description Default indent None Indentation to use in the JSON output. If None is passed, the output will be compact. None include None Field(s) to include in the JSON output. Can take either a string or set of strings. None exclude None Field(s) to exclude from the JSON output. Can take either a string or set of strings. None by_alias None Whether to serialize using field aliases. None exclude_unset None Whether to exclude fields that have not been explicitly set. None exclude_defaults None Whether to exclude fields that have the default value. None exclude_none None Whether to exclude fields that have a value of None . None round_trip None Whether to use serialization/deserialization between JSON and class instance. None warnings None Whether to show any warnings that occurred during serialization. None Returns: Type Description None A JSON string representation of the model.","title":"model_dump_json"},{"location":"api/titiler/pgstac/model/#model_post_init","text":"def model_post_init ( self , _BaseModel__context : 'Any' ) -> 'None' Override this method to perform additional initialization after __init__ and model_construct . This is useful if you want to do some validation that requires the entire model to be initialized.","title":"model_post_init"},{"location":"api/titiler/pgstac/model/#info","text":"class Info ( __pydantic_self__ , ** data : 'Any' ) Response model for /info endpoint.","title":"Info"},{"location":"api/titiler/pgstac/model/#ancestors-in-mro_1","text":"pydantic.main.BaseModel","title":"Ancestors (in MRO)"},{"location":"api/titiler/pgstac/model/#class-variables_1","text":"model_config model_fields","title":"Class variables"},{"location":"api/titiler/pgstac/model/#static-methods_1","text":"","title":"Static methods"},{"location":"api/titiler/pgstac/model/#construct_1","text":"def construct ( _fields_set : 'set[str] | None' = None , ** values : 'Any' ) -> 'Model'","title":"construct"},{"location":"api/titiler/pgstac/model/#from_orm_1","text":"def from_orm ( obj : 'Any' ) -> 'Model'","title":"from_orm"},{"location":"api/titiler/pgstac/model/#model_construct_1","text":"def model_construct ( _fields_set : 'set[str] | None' = None , ** values : 'Any' ) -> 'Model' Creates a new instance of the Model class with validated data. Creates a new model setting __dict__ and __pydantic_fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed. Behaves as if Config.extra = 'allow' was set since it adds all passed values Parameters: Name Type Description Default _fields_set None The set of field names accepted for the Model instance. None values None Trusted or pre-validated data dictionary. None Returns: Type Description None A new instance of the Model class with validated data.","title":"model_construct"},{"location":"api/titiler/pgstac/model/#model_json_schema_1","text":"def model_json_schema ( by_alias : 'bool' = True , ref_template : 'str' = '#/$defs/ {model} ' , schema_generator : 'type[GenerateJsonSchema]' = < class ' pydantic . json_schema . GenerateJsonSchema '>, mode : 'JsonSchemaMode' = 'validation' ) -> 'dict[str, Any]' Generates a JSON schema for a model class. Parameters: Name Type Description Default by_alias None Whether to use attribute aliases or not. None ref_template None The reference template. None schema_generator None To override the logic used to generate the JSON schema, as a subclass of GenerateJsonSchema with your desired modifications None mode None The mode in which to generate the schema. None Returns: Type Description None The JSON schema for the given model class.","title":"model_json_schema"},{"location":"api/titiler/pgstac/model/#model_parametrized_name_1","text":"def model_parametrized_name ( params : 'tuple[type[Any], ...]' ) -> 'str' Compute the class name for parametrizations of generic classes. This method can be overridden to achieve a custom naming scheme for generic BaseModels. Parameters: Name Type Description Default params None Tuple of types of the class. Given a generic class Model with 2 type variables and a concrete model Model[str, int] , the value (str, int) would be passed to params . None Returns: Type Description None String representing the new class where params are passed to cls as type variables. Raises: Type Description TypeError Raised when trying to generate concrete names for non-generic models.","title":"model_parametrized_name"},{"location":"api/titiler/pgstac/model/#model_rebuild_1","text":"def model_rebuild ( * , force : 'bool' = False , raise_errors : 'bool' = True , _parent_namespace_depth : 'int' = 2 , _types_namespace : 'dict[str, Any] | None' = None ) -> 'bool | None' Try to rebuild the pydantic-core schema for the model. This may be necessary when one of the annotations is a ForwardRef which could not be resolved during the initial attempt to build the schema, and automatic rebuilding fails. Parameters: Name Type Description Default force None Whether to force the rebuilding of the model schema, defaults to False . None raise_errors None Whether to raise errors, defaults to True . None _parent_namespace_depth None The depth level of the parent namespace, defaults to 2. None _types_namespace None The types namespace, defaults to None . None Returns: Type Description None Returns None if the schema is already \"complete\" and rebuilding was not required. If rebuilding was required, returns True if rebuilding was successful, otherwise False .","title":"model_rebuild"},{"location":"api/titiler/pgstac/model/#model_validate_1","text":"def model_validate ( obj : 'Any' , * , strict : 'bool | None' = None , from_attributes : 'bool | None' = None , context : 'dict[str, Any] | None' = None ) -> 'Model' Validate a pydantic model instance. Parameters: Name Type Description Default obj None The object to validate. None strict None Whether to raise an exception on invalid fields. None from_attributes None Whether to extract data from object attributes. None context None Additional context to pass to the validator. None Returns: Type Description None The validated model instance. Raises: Type Description ValidationError If the object could not be validated.","title":"model_validate"},{"location":"api/titiler/pgstac/model/#model_validate_json_1","text":"def model_validate_json ( json_data : 'str | bytes | bytearray' , * , strict : 'bool | None' = None , context : 'dict[str, Any] | None' = None ) -> 'Model' Usage docs: docs.pydantic.dev/2.5/concepts/json/#json-parsing Validate the given JSON data against the Pydantic model. Parameters: Name Type Description Default json_data None The JSON data to validate. None strict None Whether to enforce types strictly. None context None Extra variables to pass to the validator. None Returns: Type Description None The validated Pydantic model. Raises: Type Description ValueError If json_data is not a JSON string.","title":"model_validate_json"},{"location":"api/titiler/pgstac/model/#model_validate_strings_1","text":"def model_validate_strings ( obj : 'Any' , * , strict : 'bool | None' = None , context : 'dict[str, Any] | None' = None ) -> 'Model' Validate the given object contains string data against the Pydantic model. Parameters: Name Type Description Default obj None The object contains string data to validate. None strict None Whether to enforce types strictly. None context None Extra variables to pass to the validator. None Returns: Type Description None The validated Pydantic model.","title":"model_validate_strings"},{"location":"api/titiler/pgstac/model/#parse_file_1","text":"def parse_file ( path : 'str | Path' , * , content_type : 'str | None' = None , encoding : 'str' = 'utf8' , proto : 'DeprecatedParseProtocol | None' = None , allow_pickle : 'bool' = False ) -> 'Model'","title":"parse_file"},{"location":"api/titiler/pgstac/model/#parse_obj_1","text":"def parse_obj ( obj : 'Any' ) -> 'Model'","title":"parse_obj"},{"location":"api/titiler/pgstac/model/#parse_raw_1","text":"def parse_raw ( b : 'str | bytes' , * , content_type : 'str | None' = None , encoding : 'str' = 'utf8' , proto : 'DeprecatedParseProtocol | None' = None , allow_pickle : 'bool' = False ) -> 'Model'","title":"parse_raw"},{"location":"api/titiler/pgstac/model/#schema_1","text":"def schema ( by_alias : 'bool' = True , ref_template : 'str' = '#/$defs/ {model} ' ) -> 'typing.Dict[str, Any]'","title":"schema"},{"location":"api/titiler/pgstac/model/#schema_json_1","text":"def schema_json ( * , by_alias : 'bool' = True , ref_template : 'str' = '#/$defs/ {model} ' , ** dumps_kwargs : 'Any' ) -> 'str'","title":"schema_json"},{"location":"api/titiler/pgstac/model/#update_forward_refs_1","text":"def update_forward_refs ( ** localns : 'Any' ) -> 'None'","title":"update_forward_refs"},{"location":"api/titiler/pgstac/model/#validate_1","text":"def validate ( value : 'Any' ) -> 'Model'","title":"validate"},{"location":"api/titiler/pgstac/model/#instance-variables_1","text":"model_computed_fields Get the computed fields of this model instance. model_extra Get extra fields set during validation. model_fields_set Returns the set of fields that have been explicitly set on this model instance.","title":"Instance variables"},{"location":"api/titiler/pgstac/model/#methods_1","text":"","title":"Methods"},{"location":"api/titiler/pgstac/model/#copy_1","text":"def copy ( self : 'Model' , * , include : 'AbstractSetIntStr | MappingIntStrAny | None' = None , exclude : 'AbstractSetIntStr | MappingIntStrAny | None' = None , update : 'typing.Dict[str, Any] | None' = None , deep : 'bool' = False ) -> 'Model' Returns a copy of the model. Deprecated This method is now deprecated; use model_copy instead. If you need include or exclude , use: data = self . model_dump ( include = include , exclude = exclude , round_trip = True ) data = { ** data , ** ( update or {})} copied = self . model_validate ( data ) Parameters: Name Type Description Default include None Optional set or mapping specifying which fields to include in the copied model. None exclude None Optional set or mapping specifying which fields to exclude in the copied model. None update None Optional dictionary of field-value pairs to override field values in the copied model. None deep None If True, the values of fields that are Pydantic models will be deep copied. None Returns: Type Description None A copy of the model with included, excluded and updated fields as specified.","title":"copy"},{"location":"api/titiler/pgstac/model/#dict_1","text":"def dict ( self , * , include : 'IncEx' = None , exclude : 'IncEx' = None , by_alias : 'bool' = False , exclude_unset : 'bool' = False , exclude_defaults : 'bool' = False , exclude_none : 'bool' = False ) -> 'typing.Dict[str, Any]'","title":"dict"},{"location":"api/titiler/pgstac/model/#json_1","text":"def json ( self , * , include : 'IncEx' = None , exclude : 'IncEx' = None , by_alias : 'bool' = False , exclude_unset : 'bool' = False , exclude_defaults : 'bool' = False , exclude_none : 'bool' = False , encoder : 'typing.Callable[[Any], Any] | None' = PydanticUndefined , models_as_dict : 'bool' = PydanticUndefined , ** dumps_kwargs : 'Any' ) -> 'str'","title":"json"},{"location":"api/titiler/pgstac/model/#model_copy_1","text":"def model_copy ( self : 'Model' , * , update : 'dict[str, Any] | None' = None , deep : 'bool' = False ) -> 'Model' Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#model_copy Returns a copy of the model. Parameters: Name Type Description Default update None Values to change/add in the new model. Note: the data is not validated before creating the new model. You should trust this data. None deep None Set to True to make a deep copy of the model. None Returns: Type Description None New model instance.","title":"model_copy"},{"location":"api/titiler/pgstac/model/#model_dump_1","text":"def model_dump ( self , * , mode : \"Literal[('json', 'python')] | str\" = 'python' , include : 'IncEx' = None , exclude : 'IncEx' = None , by_alias : 'bool' = False , exclude_unset : 'bool' = False , exclude_defaults : 'bool' = False , exclude_none : 'bool' = False , round_trip : 'bool' = False , warnings : 'bool' = True ) -> 'dict[str, Any]' Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#modelmodel_dump Generate a dictionary representation of the model, optionally specifying which fields to include or exclude. Parameters: Name Type Description Default mode None The mode in which to_python should run. If mode is 'json', the dictionary will only contain JSON serializable types. If mode is 'python', the dictionary may contain any Python objects. None include None A list of fields to include in the output. None exclude None A list of fields to exclude from the output. None by_alias None Whether to use the field's alias in the dictionary key if defined. None exclude_unset None Whether to exclude fields that have not been explicitly set. None exclude_defaults None Whether to exclude fields that are set to their default value from the output. None exclude_none None Whether to exclude fields that have a value of None from the output. None round_trip None Whether to enable serialization and deserialization round-trip support. None warnings None Whether to log warnings when invalid fields are encountered. None Returns: Type Description None A dictionary representation of the model.","title":"model_dump"},{"location":"api/titiler/pgstac/model/#model_dump_json_1","text":"def model_dump_json ( self , * , indent : 'int | None' = None , include : 'IncEx' = None , exclude : 'IncEx' = None , by_alias : 'bool' = False , exclude_unset : 'bool' = False , exclude_defaults : 'bool' = False , exclude_none : 'bool' = False , round_trip : 'bool' = False , warnings : 'bool' = True ) -> 'str' Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#modelmodel_dump_json Generates a JSON representation of the model using Pydantic's to_json method. Parameters: Name Type Description Default indent None Indentation to use in the JSON output. If None is passed, the output will be compact. None include None Field(s) to include in the JSON output. Can take either a string or set of strings. None exclude None Field(s) to exclude from the JSON output. Can take either a string or set of strings. None by_alias None Whether to serialize using field aliases. None exclude_unset None Whether to exclude fields that have not been explicitly set. None exclude_defaults None Whether to exclude fields that have the default value. None exclude_none None Whether to exclude fields that have a value of None . None round_trip None Whether to use serialization/deserialization between JSON and class instance. None warnings None Whether to show any warnings that occurred during serialization. None Returns: Type Description None A JSON string representation of the model.","title":"model_dump_json"},{"location":"api/titiler/pgstac/model/#model_post_init_1","text":"def model_post_init ( self , _BaseModel__context : 'Any' ) -> 'None' Override this method to perform additional initialization after __init__ and model_construct . This is useful if you want to do some validation that requires the entire model to be initialized.","title":"model_post_init"},{"location":"api/titiler/pgstac/model/#infos","text":"class Infos ( __pydantic_self__ , ** data : 'Any' ) Response model for /list endpoint.","title":"Infos"},{"location":"api/titiler/pgstac/model/#ancestors-in-mro_2","text":"pydantic.main.BaseModel","title":"Ancestors (in MRO)"},{"location":"api/titiler/pgstac/model/#class-variables_2","text":"model_config model_fields","title":"Class variables"},{"location":"api/titiler/pgstac/model/#static-methods_2","text":"","title":"Static methods"},{"location":"api/titiler/pgstac/model/#construct_2","text":"def construct ( _fields_set : 'set[str] | None' = None , ** values : 'Any' ) -> 'Model'","title":"construct"},{"location":"api/titiler/pgstac/model/#from_orm_2","text":"def from_orm ( obj : 'Any' ) -> 'Model'","title":"from_orm"},{"location":"api/titiler/pgstac/model/#model_construct_2","text":"def model_construct ( _fields_set : 'set[str] | None' = None , ** values : 'Any' ) -> 'Model' Creates a new instance of the Model class with validated data. Creates a new model setting __dict__ and __pydantic_fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed. Behaves as if Config.extra = 'allow' was set since it adds all passed values Parameters: Name Type Description Default _fields_set None The set of field names accepted for the Model instance. None values None Trusted or pre-validated data dictionary. None Returns: Type Description None A new instance of the Model class with validated data.","title":"model_construct"},{"location":"api/titiler/pgstac/model/#model_json_schema_2","text":"def model_json_schema ( by_alias : 'bool' = True , ref_template : 'str' = '#/$defs/ {model} ' , schema_generator : 'type[GenerateJsonSchema]' = < class ' pydantic . json_schema . GenerateJsonSchema '>, mode : 'JsonSchemaMode' = 'validation' ) -> 'dict[str, Any]' Generates a JSON schema for a model class. Parameters: Name Type Description Default by_alias None Whether to use attribute aliases or not. None ref_template None The reference template. None schema_generator None To override the logic used to generate the JSON schema, as a subclass of GenerateJsonSchema with your desired modifications None mode None The mode in which to generate the schema. None Returns: Type Description None The JSON schema for the given model class.","title":"model_json_schema"},{"location":"api/titiler/pgstac/model/#model_parametrized_name_2","text":"def model_parametrized_name ( params : 'tuple[type[Any], ...]' ) -> 'str' Compute the class name for parametrizations of generic classes. This method can be overridden to achieve a custom naming scheme for generic BaseModels. Parameters: Name Type Description Default params None Tuple of types of the class. Given a generic class Model with 2 type variables and a concrete model Model[str, int] , the value (str, int) would be passed to params . None Returns: Type Description None String representing the new class where params are passed to cls as type variables. Raises: Type Description TypeError Raised when trying to generate concrete names for non-generic models.","title":"model_parametrized_name"},{"location":"api/titiler/pgstac/model/#model_rebuild_2","text":"def model_rebuild ( * , force : 'bool' = False , raise_errors : 'bool' = True , _parent_namespace_depth : 'int' = 2 , _types_namespace : 'dict[str, Any] | None' = None ) -> 'bool | None' Try to rebuild the pydantic-core schema for the model. This may be necessary when one of the annotations is a ForwardRef which could not be resolved during the initial attempt to build the schema, and automatic rebuilding fails. Parameters: Name Type Description Default force None Whether to force the rebuilding of the model schema, defaults to False . None raise_errors None Whether to raise errors, defaults to True . None _parent_namespace_depth None The depth level of the parent namespace, defaults to 2. None _types_namespace None The types namespace, defaults to None . None Returns: Type Description None Returns None if the schema is already \"complete\" and rebuilding was not required. If rebuilding was required, returns True if rebuilding was successful, otherwise False .","title":"model_rebuild"},{"location":"api/titiler/pgstac/model/#model_validate_2","text":"def model_validate ( obj : 'Any' , * , strict : 'bool | None' = None , from_attributes : 'bool | None' = None , context : 'dict[str, Any] | None' = None ) -> 'Model' Validate a pydantic model instance. Parameters: Name Type Description Default obj None The object to validate. None strict None Whether to raise an exception on invalid fields. None from_attributes None Whether to extract data from object attributes. None context None Additional context to pass to the validator. None Returns: Type Description None The validated model instance. Raises: Type Description ValidationError If the object could not be validated.","title":"model_validate"},{"location":"api/titiler/pgstac/model/#model_validate_json_2","text":"def model_validate_json ( json_data : 'str | bytes | bytearray' , * , strict : 'bool | None' = None , context : 'dict[str, Any] | None' = None ) -> 'Model' Usage docs: docs.pydantic.dev/2.5/concepts/json/#json-parsing Validate the given JSON data against the Pydantic model. Parameters: Name Type Description Default json_data None The JSON data to validate. None strict None Whether to enforce types strictly. None context None Extra variables to pass to the validator. None Returns: Type Description None The validated Pydantic model. Raises: Type Description ValueError If json_data is not a JSON string.","title":"model_validate_json"},{"location":"api/titiler/pgstac/model/#model_validate_strings_2","text":"def model_validate_strings ( obj : 'Any' , * , strict : 'bool | None' = None , context : 'dict[str, Any] | None' = None ) -> 'Model' Validate the given object contains string data against the Pydantic model. Parameters: Name Type Description Default obj None The object contains string data to validate. None strict None Whether to enforce types strictly. None context None Extra variables to pass to the validator. None Returns: Type Description None The validated Pydantic model.","title":"model_validate_strings"},{"location":"api/titiler/pgstac/model/#parse_file_2","text":"def parse_file ( path : 'str | Path' , * , content_type : 'str | None' = None , encoding : 'str' = 'utf8' , proto : 'DeprecatedParseProtocol | None' = None , allow_pickle : 'bool' = False ) -> 'Model'","title":"parse_file"},{"location":"api/titiler/pgstac/model/#parse_obj_2","text":"def parse_obj ( obj : 'Any' ) -> 'Model'","title":"parse_obj"},{"location":"api/titiler/pgstac/model/#parse_raw_2","text":"def parse_raw ( b : 'str | bytes' , * , content_type : 'str | None' = None , encoding : 'str' = 'utf8' , proto : 'DeprecatedParseProtocol | None' = None , allow_pickle : 'bool' = False ) -> 'Model'","title":"parse_raw"},{"location":"api/titiler/pgstac/model/#schema_2","text":"def schema ( by_alias : 'bool' = True , ref_template : 'str' = '#/$defs/ {model} ' ) -> 'typing.Dict[str, Any]'","title":"schema"},{"location":"api/titiler/pgstac/model/#schema_json_2","text":"def schema_json ( * , by_alias : 'bool' = True , ref_template : 'str' = '#/$defs/ {model} ' , ** dumps_kwargs : 'Any' ) -> 'str'","title":"schema_json"},{"location":"api/titiler/pgstac/model/#update_forward_refs_2","text":"def update_forward_refs ( ** localns : 'Any' ) -> 'None'","title":"update_forward_refs"},{"location":"api/titiler/pgstac/model/#validate_2","text":"def validate ( value : 'Any' ) -> 'Model'","title":"validate"},{"location":"api/titiler/pgstac/model/#instance-variables_2","text":"model_computed_fields Get the computed fields of this model instance. model_extra Get extra fields set during validation. model_fields_set Returns the set of fields that have been explicitly set on this model instance.","title":"Instance variables"},{"location":"api/titiler/pgstac/model/#methods_2","text":"","title":"Methods"},{"location":"api/titiler/pgstac/model/#copy_2","text":"def copy ( self : 'Model' , * , include : 'AbstractSetIntStr | MappingIntStrAny | None' = None , exclude : 'AbstractSetIntStr | MappingIntStrAny | None' = None , update : 'typing.Dict[str, Any] | None' = None , deep : 'bool' = False ) -> 'Model' Returns a copy of the model. Deprecated This method is now deprecated; use model_copy instead. If you need include or exclude , use: data = self . model_dump ( include = include , exclude = exclude , round_trip = True ) data = { ** data , ** ( update or {})} copied = self . model_validate ( data ) Parameters: Name Type Description Default include None Optional set or mapping specifying which fields to include in the copied model. None exclude None Optional set or mapping specifying which fields to exclude in the copied model. None update None Optional dictionary of field-value pairs to override field values in the copied model. None deep None If True, the values of fields that are Pydantic models will be deep copied. None Returns: Type Description None A copy of the model with included, excluded and updated fields as specified.","title":"copy"},{"location":"api/titiler/pgstac/model/#dict_2","text":"def dict ( self , * , include : 'IncEx' = None , exclude : 'IncEx' = None , by_alias : 'bool' = False , exclude_unset : 'bool' = False , exclude_defaults : 'bool' = False , exclude_none : 'bool' = False ) -> 'typing.Dict[str, Any]'","title":"dict"},{"location":"api/titiler/pgstac/model/#json_2","text":"def json ( self , * , include : 'IncEx' = None , exclude : 'IncEx' = None , by_alias : 'bool' = False , exclude_unset : 'bool' = False , exclude_defaults : 'bool' = False , exclude_none : 'bool' = False , encoder : 'typing.Callable[[Any], Any] | None' = PydanticUndefined , models_as_dict : 'bool' = PydanticUndefined , ** dumps_kwargs : 'Any' ) -> 'str'","title":"json"},{"location":"api/titiler/pgstac/model/#model_copy_2","text":"def model_copy ( self : 'Model' , * , update : 'dict[str, Any] | None' = None , deep : 'bool' = False ) -> 'Model' Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#model_copy Returns a copy of the model. Parameters: Name Type Description Default update None Values to change/add in the new model. Note: the data is not validated before creating the new model. You should trust this data. None deep None Set to True to make a deep copy of the model. None Returns: Type Description None New model instance.","title":"model_copy"},{"location":"api/titiler/pgstac/model/#model_dump_2","text":"def model_dump ( self , * , mode : \"Literal[('json', 'python')] | str\" = 'python' , include : 'IncEx' = None , exclude : 'IncEx' = None , by_alias : 'bool' = False , exclude_unset : 'bool' = False , exclude_defaults : 'bool' = False , exclude_none : 'bool' = False , round_trip : 'bool' = False , warnings : 'bool' = True ) -> 'dict[str, Any]' Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#modelmodel_dump Generate a dictionary representation of the model, optionally specifying which fields to include or exclude. Parameters: Name Type Description Default mode None The mode in which to_python should run. If mode is 'json', the dictionary will only contain JSON serializable types. If mode is 'python', the dictionary may contain any Python objects. None include None A list of fields to include in the output. None exclude None A list of fields to exclude from the output. None by_alias None Whether to use the field's alias in the dictionary key if defined. None exclude_unset None Whether to exclude fields that have not been explicitly set. None exclude_defaults None Whether to exclude fields that are set to their default value from the output. None exclude_none None Whether to exclude fields that have a value of None from the output. None round_trip None Whether to enable serialization and deserialization round-trip support. None warnings None Whether to log warnings when invalid fields are encountered. None Returns: Type Description None A dictionary representation of the model.","title":"model_dump"},{"location":"api/titiler/pgstac/model/#model_dump_json_2","text":"def model_dump_json ( self , * , indent : 'int | None' = None , include : 'IncEx' = None , exclude : 'IncEx' = None , by_alias : 'bool' = False , exclude_unset : 'bool' = False , exclude_defaults : 'bool' = False , exclude_none : 'bool' = False , round_trip : 'bool' = False , warnings : 'bool' = True ) -> 'str' Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#modelmodel_dump_json Generates a JSON representation of the model using Pydantic's to_json method. Parameters: Name Type Description Default indent None Indentation to use in the JSON output. If None is passed, the output will be compact. None include None Field(s) to include in the JSON output. Can take either a string or set of strings. None exclude None Field(s) to exclude from the JSON output. Can take either a string or set of strings. None by_alias None Whether to serialize using field aliases. None exclude_unset None Whether to exclude fields that have not been explicitly set. None exclude_defaults None Whether to exclude fields that have the default value. None exclude_none None Whether to exclude fields that have a value of None . None round_trip None Whether to use serialization/deserialization between JSON and class instance. None warnings None Whether to show any warnings that occurred during serialization. None Returns: Type Description None A JSON string representation of the model.","title":"model_dump_json"},{"location":"api/titiler/pgstac/model/#model_post_init_2","text":"def model_post_init ( self , _BaseModel__context : 'Any' ) -> 'None' Override this method to perform additional initialization after __init__ and model_construct . This is useful if you want to do some validation that requires the entire model to be initialized.","title":"model_post_init"},{"location":"api/titiler/pgstac/model/#link","text":"class Link ( __pydantic_self__ , ** data : 'Any' ) Link model. Ref: schemas.opengis.net/ogcapi/features/part1/1.0/openapi/schemas/link.yaml","title":"Link"},{"location":"api/titiler/pgstac/model/#ancestors-in-mro_3","text":"pydantic.main.BaseModel","title":"Ancestors (in MRO)"},{"location":"api/titiler/pgstac/model/#class-variables_3","text":"model_config model_fields","title":"Class variables"},{"location":"api/titiler/pgstac/model/#static-methods_3","text":"","title":"Static methods"},{"location":"api/titiler/pgstac/model/#construct_3","text":"def construct ( _fields_set : 'set[str] | None' = None , ** values : 'Any' ) -> 'Model'","title":"construct"},{"location":"api/titiler/pgstac/model/#from_orm_3","text":"def from_orm ( obj : 'Any' ) -> 'Model'","title":"from_orm"},{"location":"api/titiler/pgstac/model/#model_construct_3","text":"def model_construct ( _fields_set : 'set[str] | None' = None , ** values : 'Any' ) -> 'Model' Creates a new instance of the Model class with validated data. Creates a new model setting __dict__ and __pydantic_fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed. Behaves as if Config.extra = 'allow' was set since it adds all passed values Parameters: Name Type Description Default _fields_set None The set of field names accepted for the Model instance. None values None Trusted or pre-validated data dictionary. None Returns: Type Description None A new instance of the Model class with validated data.","title":"model_construct"},{"location":"api/titiler/pgstac/model/#model_json_schema_3","text":"def model_json_schema ( by_alias : 'bool' = True , ref_template : 'str' = '#/$defs/ {model} ' , schema_generator : 'type[GenerateJsonSchema]' = < class ' pydantic . json_schema . GenerateJsonSchema '>, mode : 'JsonSchemaMode' = 'validation' ) -> 'dict[str, Any]' Generates a JSON schema for a model class. Parameters: Name Type Description Default by_alias None Whether to use attribute aliases or not. None ref_template None The reference template. None schema_generator None To override the logic used to generate the JSON schema, as a subclass of GenerateJsonSchema with your desired modifications None mode None The mode in which to generate the schema. None Returns: Type Description None The JSON schema for the given model class.","title":"model_json_schema"},{"location":"api/titiler/pgstac/model/#model_parametrized_name_3","text":"def model_parametrized_name ( params : 'tuple[type[Any], ...]' ) -> 'str' Compute the class name for parametrizations of generic classes. This method can be overridden to achieve a custom naming scheme for generic BaseModels. Parameters: Name Type Description Default params None Tuple of types of the class. Given a generic class Model with 2 type variables and a concrete model Model[str, int] , the value (str, int) would be passed to params . None Returns: Type Description None String representing the new class where params are passed to cls as type variables. Raises: Type Description TypeError Raised when trying to generate concrete names for non-generic models.","title":"model_parametrized_name"},{"location":"api/titiler/pgstac/model/#model_rebuild_3","text":"def model_rebuild ( * , force : 'bool' = False , raise_errors : 'bool' = True , _parent_namespace_depth : 'int' = 2 , _types_namespace : 'dict[str, Any] | None' = None ) -> 'bool | None' Try to rebuild the pydantic-core schema for the model. This may be necessary when one of the annotations is a ForwardRef which could not be resolved during the initial attempt to build the schema, and automatic rebuilding fails. Parameters: Name Type Description Default force None Whether to force the rebuilding of the model schema, defaults to False . None raise_errors None Whether to raise errors, defaults to True . None _parent_namespace_depth None The depth level of the parent namespace, defaults to 2. None _types_namespace None The types namespace, defaults to None . None Returns: Type Description None Returns None if the schema is already \"complete\" and rebuilding was not required. If rebuilding was required, returns True if rebuilding was successful, otherwise False .","title":"model_rebuild"},{"location":"api/titiler/pgstac/model/#model_validate_3","text":"def model_validate ( obj : 'Any' , * , strict : 'bool | None' = None , from_attributes : 'bool | None' = None , context : 'dict[str, Any] | None' = None ) -> 'Model' Validate a pydantic model instance. Parameters: Name Type Description Default obj None The object to validate. None strict None Whether to raise an exception on invalid fields. None from_attributes None Whether to extract data from object attributes. None context None Additional context to pass to the validator. None Returns: Type Description None The validated model instance. Raises: Type Description ValidationError If the object could not be validated.","title":"model_validate"},{"location":"api/titiler/pgstac/model/#model_validate_json_3","text":"def model_validate_json ( json_data : 'str | bytes | bytearray' , * , strict : 'bool | None' = None , context : 'dict[str, Any] | None' = None ) -> 'Model' Usage docs: docs.pydantic.dev/2.5/concepts/json/#json-parsing Validate the given JSON data against the Pydantic model. Parameters: Name Type Description Default json_data None The JSON data to validate. None strict None Whether to enforce types strictly. None context None Extra variables to pass to the validator. None Returns: Type Description None The validated Pydantic model. Raises: Type Description ValueError If json_data is not a JSON string.","title":"model_validate_json"},{"location":"api/titiler/pgstac/model/#model_validate_strings_3","text":"def model_validate_strings ( obj : 'Any' , * , strict : 'bool | None' = None , context : 'dict[str, Any] | None' = None ) -> 'Model' Validate the given object contains string data against the Pydantic model. Parameters: Name Type Description Default obj None The object contains string data to validate. None strict None Whether to enforce types strictly. None context None Extra variables to pass to the validator. None Returns: Type Description None The validated Pydantic model.","title":"model_validate_strings"},{"location":"api/titiler/pgstac/model/#parse_file_3","text":"def parse_file ( path : 'str | Path' , * , content_type : 'str | None' = None , encoding : 'str' = 'utf8' , proto : 'DeprecatedParseProtocol | None' = None , allow_pickle : 'bool' = False ) -> 'Model'","title":"parse_file"},{"location":"api/titiler/pgstac/model/#parse_obj_3","text":"def parse_obj ( obj : 'Any' ) -> 'Model'","title":"parse_obj"},{"location":"api/titiler/pgstac/model/#parse_raw_3","text":"def parse_raw ( b : 'str | bytes' , * , content_type : 'str | None' = None , encoding : 'str' = 'utf8' , proto : 'DeprecatedParseProtocol | None' = None , allow_pickle : 'bool' = False ) -> 'Model'","title":"parse_raw"},{"location":"api/titiler/pgstac/model/#schema_3","text":"def schema ( by_alias : 'bool' = True , ref_template : 'str' = '#/$defs/ {model} ' ) -> 'typing.Dict[str, Any]'","title":"schema"},{"location":"api/titiler/pgstac/model/#schema_json_3","text":"def schema_json ( * , by_alias : 'bool' = True , ref_template : 'str' = '#/$defs/ {model} ' , ** dumps_kwargs : 'Any' ) -> 'str'","title":"schema_json"},{"location":"api/titiler/pgstac/model/#update_forward_refs_3","text":"def update_forward_refs ( ** localns : 'Any' ) -> 'None'","title":"update_forward_refs"},{"location":"api/titiler/pgstac/model/#validate_3","text":"def validate ( value : 'Any' ) -> 'Model'","title":"validate"},{"location":"api/titiler/pgstac/model/#instance-variables_3","text":"model_computed_fields Get the computed fields of this model instance. model_extra Get extra fields set during validation. model_fields_set Returns the set of fields that have been explicitly set on this model instance.","title":"Instance variables"},{"location":"api/titiler/pgstac/model/#methods_3","text":"","title":"Methods"},{"location":"api/titiler/pgstac/model/#copy_3","text":"def copy ( self : 'Model' , * , include : 'AbstractSetIntStr | MappingIntStrAny | None' = None , exclude : 'AbstractSetIntStr | MappingIntStrAny | None' = None , update : 'typing.Dict[str, Any] | None' = None , deep : 'bool' = False ) -> 'Model' Returns a copy of the model. Deprecated This method is now deprecated; use model_copy instead. If you need include or exclude , use: data = self . model_dump ( include = include , exclude = exclude , round_trip = True ) data = { ** data , ** ( update or {})} copied = self . model_validate ( data ) Parameters: Name Type Description Default include None Optional set or mapping specifying which fields to include in the copied model. None exclude None Optional set or mapping specifying which fields to exclude in the copied model. None update None Optional dictionary of field-value pairs to override field values in the copied model. None deep None If True, the values of fields that are Pydantic models will be deep copied. None Returns: Type Description None A copy of the model with included, excluded and updated fields as specified.","title":"copy"},{"location":"api/titiler/pgstac/model/#dict_3","text":"def dict ( self , * , include : 'IncEx' = None , exclude : 'IncEx' = None , by_alias : 'bool' = False , exclude_unset : 'bool' = False , exclude_defaults : 'bool' = False , exclude_none : 'bool' = False ) -> 'typing.Dict[str, Any]'","title":"dict"},{"location":"api/titiler/pgstac/model/#json_3","text":"def json ( self , * , include : 'IncEx' = None , exclude : 'IncEx' = None , by_alias : 'bool' = False , exclude_unset : 'bool' = False , exclude_defaults : 'bool' = False , exclude_none : 'bool' = False , encoder : 'typing.Callable[[Any], Any] | None' = PydanticUndefined , models_as_dict : 'bool' = PydanticUndefined , ** dumps_kwargs : 'Any' ) -> 'str'","title":"json"},{"location":"api/titiler/pgstac/model/#model_copy_3","text":"def model_copy ( self : 'Model' , * , update : 'dict[str, Any] | None' = None , deep : 'bool' = False ) -> 'Model' Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#model_copy Returns a copy of the model. Parameters: Name Type Description Default update None Values to change/add in the new model. Note: the data is not validated before creating the new model. You should trust this data. None deep None Set to True to make a deep copy of the model. None Returns: Type Description None New model instance.","title":"model_copy"},{"location":"api/titiler/pgstac/model/#model_dump_3","text":"def model_dump ( self , * , mode : \"Literal[('json', 'python')] | str\" = 'python' , include : 'IncEx' = None , exclude : 'IncEx' = None , by_alias : 'bool' = False , exclude_unset : 'bool' = False , exclude_defaults : 'bool' = False , exclude_none : 'bool' = False , round_trip : 'bool' = False , warnings : 'bool' = True ) -> 'dict[str, Any]' Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#modelmodel_dump Generate a dictionary representation of the model, optionally specifying which fields to include or exclude. Parameters: Name Type Description Default mode None The mode in which to_python should run. If mode is 'json', the dictionary will only contain JSON serializable types. If mode is 'python', the dictionary may contain any Python objects. None include None A list of fields to include in the output. None exclude None A list of fields to exclude from the output. None by_alias None Whether to use the field's alias in the dictionary key if defined. None exclude_unset None Whether to exclude fields that have not been explicitly set. None exclude_defaults None Whether to exclude fields that are set to their default value from the output. None exclude_none None Whether to exclude fields that have a value of None from the output. None round_trip None Whether to enable serialization and deserialization round-trip support. None warnings None Whether to log warnings when invalid fields are encountered. None Returns: Type Description None A dictionary representation of the model.","title":"model_dump"},{"location":"api/titiler/pgstac/model/#model_dump_json_3","text":"def model_dump_json ( self , * , indent : 'int | None' = None , include : 'IncEx' = None , exclude : 'IncEx' = None , by_alias : 'bool' = False , exclude_unset : 'bool' = False , exclude_defaults : 'bool' = False , exclude_none : 'bool' = False , round_trip : 'bool' = False , warnings : 'bool' = True ) -> 'str' Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#modelmodel_dump_json Generates a JSON representation of the model using Pydantic's to_json method. Parameters: Name Type Description Default indent None Indentation to use in the JSON output. If None is passed, the output will be compact. None include None Field(s) to include in the JSON output. Can take either a string or set of strings. None exclude None Field(s) to exclude from the JSON output. Can take either a string or set of strings. None by_alias None Whether to serialize using field aliases. None exclude_unset None Whether to exclude fields that have not been explicitly set. None exclude_defaults None Whether to exclude fields that have the default value. None exclude_none None Whether to exclude fields that have a value of None . None round_trip None Whether to use serialization/deserialization between JSON and class instance. None warnings None Whether to show any warnings that occurred during serialization. None Returns: Type Description None A JSON string representation of the model.","title":"model_dump_json"},{"location":"api/titiler/pgstac/model/#model_post_init_3","text":"def model_post_init ( self , _BaseModel__context : 'Any' ) -> 'None' Override this method to perform additional initialization after __init__ and model_construct . This is useful if you want to do some validation that requires the entire model to be initialized.","title":"model_post_init"},{"location":"api/titiler/pgstac/model/#metadata","text":"class Metadata ( __pydantic_self__ , ** data : 'Any' ) Metadata Model.","title":"Metadata"},{"location":"api/titiler/pgstac/model/#ancestors-in-mro_4","text":"pydantic.main.BaseModel","title":"Ancestors (in MRO)"},{"location":"api/titiler/pgstac/model/#class-variables_4","text":"model_config model_fields","title":"Class variables"},{"location":"api/titiler/pgstac/model/#static-methods_4","text":"","title":"Static methods"},{"location":"api/titiler/pgstac/model/#construct_4","text":"def construct ( _fields_set : 'set[str] | None' = None , ** values : 'Any' ) -> 'Model'","title":"construct"},{"location":"api/titiler/pgstac/model/#from_orm_4","text":"def from_orm ( obj : 'Any' ) -> 'Model'","title":"from_orm"},{"location":"api/titiler/pgstac/model/#model_construct_4","text":"def model_construct ( _fields_set : 'set[str] | None' = None , ** values : 'Any' ) -> 'Model' Creates a new instance of the Model class with validated data. Creates a new model setting __dict__ and __pydantic_fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed. Behaves as if Config.extra = 'allow' was set since it adds all passed values Parameters: Name Type Description Default _fields_set None The set of field names accepted for the Model instance. None values None Trusted or pre-validated data dictionary. None Returns: Type Description None A new instance of the Model class with validated data.","title":"model_construct"},{"location":"api/titiler/pgstac/model/#model_json_schema_4","text":"def model_json_schema ( by_alias : 'bool' = True , ref_template : 'str' = '#/$defs/ {model} ' , schema_generator : 'type[GenerateJsonSchema]' = < class ' pydantic . json_schema . GenerateJsonSchema '>, mode : 'JsonSchemaMode' = 'validation' ) -> 'dict[str, Any]' Generates a JSON schema for a model class. Parameters: Name Type Description Default by_alias None Whether to use attribute aliases or not. None ref_template None The reference template. None schema_generator None To override the logic used to generate the JSON schema, as a subclass of GenerateJsonSchema with your desired modifications None mode None The mode in which to generate the schema. None Returns: Type Description None The JSON schema for the given model class.","title":"model_json_schema"},{"location":"api/titiler/pgstac/model/#model_parametrized_name_4","text":"def model_parametrized_name ( params : 'tuple[type[Any], ...]' ) -> 'str' Compute the class name for parametrizations of generic classes. This method can be overridden to achieve a custom naming scheme for generic BaseModels. Parameters: Name Type Description Default params None Tuple of types of the class. Given a generic class Model with 2 type variables and a concrete model Model[str, int] , the value (str, int) would be passed to params . None Returns: Type Description None String representing the new class where params are passed to cls as type variables. Raises: Type Description TypeError Raised when trying to generate concrete names for non-generic models.","title":"model_parametrized_name"},{"location":"api/titiler/pgstac/model/#model_rebuild_4","text":"def model_rebuild ( * , force : 'bool' = False , raise_errors : 'bool' = True , _parent_namespace_depth : 'int' = 2 , _types_namespace : 'dict[str, Any] | None' = None ) -> 'bool | None' Try to rebuild the pydantic-core schema for the model. This may be necessary when one of the annotations is a ForwardRef which could not be resolved during the initial attempt to build the schema, and automatic rebuilding fails. Parameters: Name Type Description Default force None Whether to force the rebuilding of the model schema, defaults to False . None raise_errors None Whether to raise errors, defaults to True . None _parent_namespace_depth None The depth level of the parent namespace, defaults to 2. None _types_namespace None The types namespace, defaults to None . None Returns: Type Description None Returns None if the schema is already \"complete\" and rebuilding was not required. If rebuilding was required, returns True if rebuilding was successful, otherwise False .","title":"model_rebuild"},{"location":"api/titiler/pgstac/model/#model_validate_4","text":"def model_validate ( obj : 'Any' , * , strict : 'bool | None' = None , from_attributes : 'bool | None' = None , context : 'dict[str, Any] | None' = None ) -> 'Model' Validate a pydantic model instance. Parameters: Name Type Description Default obj None The object to validate. None strict None Whether to raise an exception on invalid fields. None from_attributes None Whether to extract data from object attributes. None context None Additional context to pass to the validator. None Returns: Type Description None The validated model instance. Raises: Type Description ValidationError If the object could not be validated.","title":"model_validate"},{"location":"api/titiler/pgstac/model/#model_validate_json_4","text":"def model_validate_json ( json_data : 'str | bytes | bytearray' , * , strict : 'bool | None' = None , context : 'dict[str, Any] | None' = None ) -> 'Model' Usage docs: docs.pydantic.dev/2.5/concepts/json/#json-parsing Validate the given JSON data against the Pydantic model. Parameters: Name Type Description Default json_data None The JSON data to validate. None strict None Whether to enforce types strictly. None context None Extra variables to pass to the validator. None Returns: Type Description None The validated Pydantic model. Raises: Type Description ValueError If json_data is not a JSON string.","title":"model_validate_json"},{"location":"api/titiler/pgstac/model/#model_validate_strings_4","text":"def model_validate_strings ( obj : 'Any' , * , strict : 'bool | None' = None , context : 'dict[str, Any] | None' = None ) -> 'Model' Validate the given object contains string data against the Pydantic model. Parameters: Name Type Description Default obj None The object contains string data to validate. None strict None Whether to enforce types strictly. None context None Extra variables to pass to the validator. None Returns: Type Description None The validated Pydantic model.","title":"model_validate_strings"},{"location":"api/titiler/pgstac/model/#parse_file_4","text":"def parse_file ( path : 'str | Path' , * , content_type : 'str | None' = None , encoding : 'str' = 'utf8' , proto : 'DeprecatedParseProtocol | None' = None , allow_pickle : 'bool' = False ) -> 'Model'","title":"parse_file"},{"location":"api/titiler/pgstac/model/#parse_obj_4","text":"def parse_obj ( obj : 'Any' ) -> 'Model'","title":"parse_obj"},{"location":"api/titiler/pgstac/model/#parse_raw_4","text":"def parse_raw ( b : 'str | bytes' , * , content_type : 'str | None' = None , encoding : 'str' = 'utf8' , proto : 'DeprecatedParseProtocol | None' = None , allow_pickle : 'bool' = False ) -> 'Model'","title":"parse_raw"},{"location":"api/titiler/pgstac/model/#schema_4","text":"def schema ( by_alias : 'bool' = True , ref_template : 'str' = '#/$defs/ {model} ' ) -> 'typing.Dict[str, Any]'","title":"schema"},{"location":"api/titiler/pgstac/model/#schema_json_4","text":"def schema_json ( * , by_alias : 'bool' = True , ref_template : 'str' = '#/$defs/ {model} ' , ** dumps_kwargs : 'Any' ) -> 'str'","title":"schema_json"},{"location":"api/titiler/pgstac/model/#update_forward_refs_4","text":"def update_forward_refs ( ** localns : 'Any' ) -> 'None'","title":"update_forward_refs"},{"location":"api/titiler/pgstac/model/#validate_4","text":"def validate ( value : 'Any' ) -> 'Model'","title":"validate"},{"location":"api/titiler/pgstac/model/#instance-variables_4","text":"model_computed_fields Get the computed fields of this model instance. model_extra Get extra fields set during validation. model_fields_set Returns the set of fields that have been explicitly set on this model instance.","title":"Instance variables"},{"location":"api/titiler/pgstac/model/#methods_4","text":"","title":"Methods"},{"location":"api/titiler/pgstac/model/#copy_4","text":"def copy ( self : 'Model' , * , include : 'AbstractSetIntStr | MappingIntStrAny | None' = None , exclude : 'AbstractSetIntStr | MappingIntStrAny | None' = None , update : 'typing.Dict[str, Any] | None' = None , deep : 'bool' = False ) -> 'Model' Returns a copy of the model. Deprecated This method is now deprecated; use model_copy instead. If you need include or exclude , use: data = self . model_dump ( include = include , exclude = exclude , round_trip = True ) data = { ** data , ** ( update or {})} copied = self . model_validate ( data ) Parameters: Name Type Description Default include None Optional set or mapping specifying which fields to include in the copied model. None exclude None Optional set or mapping specifying which fields to exclude in the copied model. None update None Optional dictionary of field-value pairs to override field values in the copied model. None deep None If True, the values of fields that are Pydantic models will be deep copied. None Returns: Type Description None A copy of the model with included, excluded and updated fields as specified.","title":"copy"},{"location":"api/titiler/pgstac/model/#dict_4","text":"def dict ( self , * , include : 'IncEx' = None , exclude : 'IncEx' = None , by_alias : 'bool' = False , exclude_unset : 'bool' = False , exclude_defaults : 'bool' = False , exclude_none : 'bool' = False ) -> 'typing.Dict[str, Any]'","title":"dict"},{"location":"api/titiler/pgstac/model/#json_4","text":"def json ( self , * , include : 'IncEx' = None , exclude : 'IncEx' = None , by_alias : 'bool' = False , exclude_unset : 'bool' = False , exclude_defaults : 'bool' = False , exclude_none : 'bool' = False , encoder : 'typing.Callable[[Any], Any] | None' = PydanticUndefined , models_as_dict : 'bool' = PydanticUndefined , ** dumps_kwargs : 'Any' ) -> 'str'","title":"json"},{"location":"api/titiler/pgstac/model/#model_copy_4","text":"def model_copy ( self : 'Model' , * , update : 'dict[str, Any] | None' = None , deep : 'bool' = False ) -> 'Model' Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#model_copy Returns a copy of the model. Parameters: Name Type Description Default update None Values to change/add in the new model. Note: the data is not validated before creating the new model. You should trust this data. None deep None Set to True to make a deep copy of the model. None Returns: Type Description None New model instance.","title":"model_copy"},{"location":"api/titiler/pgstac/model/#model_dump_4","text":"def model_dump ( self , * , mode : \"Literal[('json', 'python')] | str\" = 'python' , include : 'IncEx' = None , exclude : 'IncEx' = None , by_alias : 'bool' = False , exclude_unset : 'bool' = False , exclude_defaults : 'bool' = False , exclude_none : 'bool' = False , round_trip : 'bool' = False , warnings : 'bool' = True ) -> 'dict[str, Any]' Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#modelmodel_dump Generate a dictionary representation of the model, optionally specifying which fields to include or exclude. Parameters: Name Type Description Default mode None The mode in which to_python should run. If mode is 'json', the dictionary will only contain JSON serializable types. If mode is 'python', the dictionary may contain any Python objects. None include None A list of fields to include in the output. None exclude None A list of fields to exclude from the output. None by_alias None Whether to use the field's alias in the dictionary key if defined. None exclude_unset None Whether to exclude fields that have not been explicitly set. None exclude_defaults None Whether to exclude fields that are set to their default value from the output. None exclude_none None Whether to exclude fields that have a value of None from the output. None round_trip None Whether to enable serialization and deserialization round-trip support. None warnings None Whether to log warnings when invalid fields are encountered. None Returns: Type Description None A dictionary representation of the model.","title":"model_dump"},{"location":"api/titiler/pgstac/model/#model_dump_json_4","text":"def model_dump_json ( self , * , indent : 'int | None' = None , include : 'IncEx' = None , exclude : 'IncEx' = None , by_alias : 'bool' = False , exclude_unset : 'bool' = False , exclude_defaults : 'bool' = False , exclude_none : 'bool' = False , round_trip : 'bool' = False , warnings : 'bool' = True ) -> 'str' Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#modelmodel_dump_json Generates a JSON representation of the model using Pydantic's to_json method. Parameters: Name Type Description Default indent None Indentation to use in the JSON output. If None is passed, the output will be compact. None include None Field(s) to include in the JSON output. Can take either a string or set of strings. None exclude None Field(s) to exclude from the JSON output. Can take either a string or set of strings. None by_alias None Whether to serialize using field aliases. None exclude_unset None Whether to exclude fields that have not been explicitly set. None exclude_defaults None Whether to exclude fields that have the default value. None exclude_none None Whether to exclude fields that have a value of None . None round_trip None Whether to use serialization/deserialization between JSON and class instance. None warnings None Whether to show any warnings that occurred during serialization. None Returns: Type Description None A JSON string representation of the model.","title":"model_dump_json"},{"location":"api/titiler/pgstac/model/#model_post_init_4","text":"def model_post_init ( self , _BaseModel__context : 'Any' ) -> 'None' Override this method to perform additional initialization after __init__ and model_construct . This is useful if you want to do some validation that requires the entire model to be initialized.","title":"model_post_init"},{"location":"api/titiler/pgstac/model/#pgstacsearch","text":"class PgSTACSearch ( __pydantic_self__ , ** data : 'Any' ) Search Query model. Notes/Diff with standard model: - 'fields' is not in the Model because it's defined at the tiler level - we don't set limit","title":"PgSTACSearch"},{"location":"api/titiler/pgstac/model/#ancestors-in-mro_5","text":"pydantic.main.BaseModel","title":"Ancestors (in MRO)"},{"location":"api/titiler/pgstac/model/#descendants","text":"titiler.pgstac.model.RegisterMosaic","title":"Descendants"},{"location":"api/titiler/pgstac/model/#class-variables_5","text":"model_config model_fields","title":"Class variables"},{"location":"api/titiler/pgstac/model/#static-methods_5","text":"","title":"Static methods"},{"location":"api/titiler/pgstac/model/#construct_5","text":"def construct ( _fields_set : 'set[str] | None' = None , ** values : 'Any' ) -> 'Model'","title":"construct"},{"location":"api/titiler/pgstac/model/#from_orm_5","text":"def from_orm ( obj : 'Any' ) -> 'Model'","title":"from_orm"},{"location":"api/titiler/pgstac/model/#model_construct_5","text":"def model_construct ( _fields_set : 'set[str] | None' = None , ** values : 'Any' ) -> 'Model' Creates a new instance of the Model class with validated data. Creates a new model setting __dict__ and __pydantic_fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed. Behaves as if Config.extra = 'allow' was set since it adds all passed values Parameters: Name Type Description Default _fields_set None The set of field names accepted for the Model instance. None values None Trusted or pre-validated data dictionary. None Returns: Type Description None A new instance of the Model class with validated data.","title":"model_construct"},{"location":"api/titiler/pgstac/model/#model_json_schema_5","text":"def model_json_schema ( by_alias : 'bool' = True , ref_template : 'str' = '#/$defs/ {model} ' , schema_generator : 'type[GenerateJsonSchema]' = < class ' pydantic . json_schema . GenerateJsonSchema '>, mode : 'JsonSchemaMode' = 'validation' ) -> 'dict[str, Any]' Generates a JSON schema for a model class. Parameters: Name Type Description Default by_alias None Whether to use attribute aliases or not. None ref_template None The reference template. None schema_generator None To override the logic used to generate the JSON schema, as a subclass of GenerateJsonSchema with your desired modifications None mode None The mode in which to generate the schema. None Returns: Type Description None The JSON schema for the given model class.","title":"model_json_schema"},{"location":"api/titiler/pgstac/model/#model_parametrized_name_5","text":"def model_parametrized_name ( params : 'tuple[type[Any], ...]' ) -> 'str' Compute the class name for parametrizations of generic classes. This method can be overridden to achieve a custom naming scheme for generic BaseModels. Parameters: Name Type Description Default params None Tuple of types of the class. Given a generic class Model with 2 type variables and a concrete model Model[str, int] , the value (str, int) would be passed to params . None Returns: Type Description None String representing the new class where params are passed to cls as type variables. Raises: Type Description TypeError Raised when trying to generate concrete names for non-generic models.","title":"model_parametrized_name"},{"location":"api/titiler/pgstac/model/#model_rebuild_5","text":"def model_rebuild ( * , force : 'bool' = False , raise_errors : 'bool' = True , _parent_namespace_depth : 'int' = 2 , _types_namespace : 'dict[str, Any] | None' = None ) -> 'bool | None' Try to rebuild the pydantic-core schema for the model. This may be necessary when one of the annotations is a ForwardRef which could not be resolved during the initial attempt to build the schema, and automatic rebuilding fails. Parameters: Name Type Description Default force None Whether to force the rebuilding of the model schema, defaults to False . None raise_errors None Whether to raise errors, defaults to True . None _parent_namespace_depth None The depth level of the parent namespace, defaults to 2. None _types_namespace None The types namespace, defaults to None . None Returns: Type Description None Returns None if the schema is already \"complete\" and rebuilding was not required. If rebuilding was required, returns True if rebuilding was successful, otherwise False .","title":"model_rebuild"},{"location":"api/titiler/pgstac/model/#model_validate_5","text":"def model_validate ( obj : 'Any' , * , strict : 'bool | None' = None , from_attributes : 'bool | None' = None , context : 'dict[str, Any] | None' = None ) -> 'Model' Validate a pydantic model instance. Parameters: Name Type Description Default obj None The object to validate. None strict None Whether to raise an exception on invalid fields. None from_attributes None Whether to extract data from object attributes. None context None Additional context to pass to the validator. None Returns: Type Description None The validated model instance. Raises: Type Description ValidationError If the object could not be validated.","title":"model_validate"},{"location":"api/titiler/pgstac/model/#model_validate_json_5","text":"def model_validate_json ( json_data : 'str | bytes | bytearray' , * , strict : 'bool | None' = None , context : 'dict[str, Any] | None' = None ) -> 'Model' Usage docs: docs.pydantic.dev/2.5/concepts/json/#json-parsing Validate the given JSON data against the Pydantic model. Parameters: Name Type Description Default json_data None The JSON data to validate. None strict None Whether to enforce types strictly. None context None Extra variables to pass to the validator. None Returns: Type Description None The validated Pydantic model. Raises: Type Description ValueError If json_data is not a JSON string.","title":"model_validate_json"},{"location":"api/titiler/pgstac/model/#model_validate_strings_5","text":"def model_validate_strings ( obj : 'Any' , * , strict : 'bool | None' = None , context : 'dict[str, Any] | None' = None ) -> 'Model' Validate the given object contains string data against the Pydantic model. Parameters: Name Type Description Default obj None The object contains string data to validate. None strict None Whether to enforce types strictly. None context None Extra variables to pass to the validator. None Returns: Type Description None The validated Pydantic model.","title":"model_validate_strings"},{"location":"api/titiler/pgstac/model/#parse_file_5","text":"def parse_file ( path : 'str | Path' , * , content_type : 'str | None' = None , encoding : 'str' = 'utf8' , proto : 'DeprecatedParseProtocol | None' = None , allow_pickle : 'bool' = False ) -> 'Model'","title":"parse_file"},{"location":"api/titiler/pgstac/model/#parse_obj_5","text":"def parse_obj ( obj : 'Any' ) -> 'Model'","title":"parse_obj"},{"location":"api/titiler/pgstac/model/#parse_raw_5","text":"def parse_raw ( b : 'str | bytes' , * , content_type : 'str | None' = None , encoding : 'str' = 'utf8' , proto : 'DeprecatedParseProtocol | None' = None , allow_pickle : 'bool' = False ) -> 'Model'","title":"parse_raw"},{"location":"api/titiler/pgstac/model/#schema_5","text":"def schema ( by_alias : 'bool' = True , ref_template : 'str' = '#/$defs/ {model} ' ) -> 'typing.Dict[str, Any]'","title":"schema"},{"location":"api/titiler/pgstac/model/#schema_json_5","text":"def schema_json ( * , by_alias : 'bool' = True , ref_template : 'str' = '#/$defs/ {model} ' , ** dumps_kwargs : 'Any' ) -> 'str'","title":"schema_json"},{"location":"api/titiler/pgstac/model/#update_forward_refs_5","text":"def update_forward_refs ( ** localns : 'Any' ) -> 'None'","title":"update_forward_refs"},{"location":"api/titiler/pgstac/model/#validate_5","text":"def validate ( value : 'Any' ) -> 'Model'","title":"validate"},{"location":"api/titiler/pgstac/model/#validate_bbox","text":"def validate_bbox ( v : Union [ Tuple [ float , float , float , float ], Tuple [ float , float , float , float , float , float ]] ) Validate BBOX.","title":"validate_bbox"},{"location":"api/titiler/pgstac/model/#validate_datetime","text":"def validate_datetime ( v ) Pgstac does not require the base validator for datetime.","title":"validate_datetime"},{"location":"api/titiler/pgstac/model/#validate_query_fields","text":"def validate_query_fields ( values : Dict ) -> Dict Pgstac does not require the base validator for query fields.","title":"validate_query_fields"},{"location":"api/titiler/pgstac/model/#validate_spatial","text":"def validate_spatial ( v : Union [ typing_extensions . Annotated [ Union [ geojson_pydantic . geometries . Point , geojson_pydantic . geometries . MultiPoint , geojson_pydantic . geometries . LineString , geojson_pydantic . geometries . MultiLineString , geojson_pydantic . geometries . Polygon , geojson_pydantic . geometries . MultiPolygon , geojson_pydantic . geometries . GeometryCollection ], FieldInfo ( annotation = NoneType , required = True , discriminator = 'type' )], NoneType ], info : pydantic_core . core_schema . ValidationInfo ) Make sure bbox is not used with Intersects.","title":"validate_spatial"},{"location":"api/titiler/pgstac/model/#instance-variables_5","text":"model_computed_fields Get the computed fields of this model instance. model_extra Get extra fields set during validation. model_fields_set Returns the set of fields that have been explicitly set on this model instance.","title":"Instance variables"},{"location":"api/titiler/pgstac/model/#methods_5","text":"","title":"Methods"},{"location":"api/titiler/pgstac/model/#copy_5","text":"def copy ( self : 'Model' , * , include : 'AbstractSetIntStr | MappingIntStrAny | None' = None , exclude : 'AbstractSetIntStr | MappingIntStrAny | None' = None , update : 'typing.Dict[str, Any] | None' = None , deep : 'bool' = False ) -> 'Model' Returns a copy of the model. Deprecated This method is now deprecated; use model_copy instead. If you need include or exclude , use: data = self . model_dump ( include = include , exclude = exclude , round_trip = True ) data = { ** data , ** ( update or {})} copied = self . model_validate ( data ) Parameters: Name Type Description Default include None Optional set or mapping specifying which fields to include in the copied model. None exclude None Optional set or mapping specifying which fields to exclude in the copied model. None update None Optional dictionary of field-value pairs to override field values in the copied model. None deep None If True, the values of fields that are Pydantic models will be deep copied. None Returns: Type Description None A copy of the model with included, excluded and updated fields as specified.","title":"copy"},{"location":"api/titiler/pgstac/model/#dict_5","text":"def dict ( self , * , include : 'IncEx' = None , exclude : 'IncEx' = None , by_alias : 'bool' = False , exclude_unset : 'bool' = False , exclude_defaults : 'bool' = False , exclude_none : 'bool' = False ) -> 'typing.Dict[str, Any]'","title":"dict"},{"location":"api/titiler/pgstac/model/#json_5","text":"def json ( self , * , include : 'IncEx' = None , exclude : 'IncEx' = None , by_alias : 'bool' = False , exclude_unset : 'bool' = False , exclude_defaults : 'bool' = False , exclude_none : 'bool' = False , encoder : 'typing.Callable[[Any], Any] | None' = PydanticUndefined , models_as_dict : 'bool' = PydanticUndefined , ** dumps_kwargs : 'Any' ) -> 'str'","title":"json"},{"location":"api/titiler/pgstac/model/#model_copy_5","text":"def model_copy ( self : 'Model' , * , update : 'dict[str, Any] | None' = None , deep : 'bool' = False ) -> 'Model' Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#model_copy Returns a copy of the model. Parameters: Name Type Description Default update None Values to change/add in the new model. Note: the data is not validated before creating the new model. You should trust this data. None deep None Set to True to make a deep copy of the model. None Returns: Type Description None New model instance.","title":"model_copy"},{"location":"api/titiler/pgstac/model/#model_dump_5","text":"def model_dump ( self , * , mode : \"Literal[('json', 'python')] | str\" = 'python' , include : 'IncEx' = None , exclude : 'IncEx' = None , by_alias : 'bool' = False , exclude_unset : 'bool' = False , exclude_defaults : 'bool' = False , exclude_none : 'bool' = False , round_trip : 'bool' = False , warnings : 'bool' = True ) -> 'dict[str, Any]' Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#modelmodel_dump Generate a dictionary representation of the model, optionally specifying which fields to include or exclude. Parameters: Name Type Description Default mode None The mode in which to_python should run. If mode is 'json', the dictionary will only contain JSON serializable types. If mode is 'python', the dictionary may contain any Python objects. None include None A list of fields to include in the output. None exclude None A list of fields to exclude from the output. None by_alias None Whether to use the field's alias in the dictionary key if defined. None exclude_unset None Whether to exclude fields that have not been explicitly set. None exclude_defaults None Whether to exclude fields that are set to their default value from the output. None exclude_none None Whether to exclude fields that have a value of None from the output. None round_trip None Whether to enable serialization and deserialization round-trip support. None warnings None Whether to log warnings when invalid fields are encountered. None Returns: Type Description None A dictionary representation of the model.","title":"model_dump"},{"location":"api/titiler/pgstac/model/#model_dump_json_5","text":"def model_dump_json ( self , * , indent : 'int | None' = None , include : 'IncEx' = None , exclude : 'IncEx' = None , by_alias : 'bool' = False , exclude_unset : 'bool' = False , exclude_defaults : 'bool' = False , exclude_none : 'bool' = False , round_trip : 'bool' = False , warnings : 'bool' = True ) -> 'str' Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#modelmodel_dump_json Generates a JSON representation of the model using Pydantic's to_json method. Parameters: Name Type Description Default indent None Indentation to use in the JSON output. If None is passed, the output will be compact. None include None Field(s) to include in the JSON output. Can take either a string or set of strings. None exclude None Field(s) to exclude from the JSON output. Can take either a string or set of strings. None by_alias None Whether to serialize using field aliases. None exclude_unset None Whether to exclude fields that have not been explicitly set. None exclude_defaults None Whether to exclude fields that have the default value. None exclude_none None Whether to exclude fields that have a value of None . None round_trip None Whether to use serialization/deserialization between JSON and class instance. None warnings None Whether to show any warnings that occurred during serialization. None Returns: Type Description None A JSON string representation of the model.","title":"model_dump_json"},{"location":"api/titiler/pgstac/model/#model_post_init_5","text":"def model_post_init ( self , _BaseModel__context : 'Any' ) -> 'None' Override this method to perform additional initialization after __init__ and model_construct . This is useful if you want to do some validation that requires the entire model to be initialized.","title":"model_post_init"},{"location":"api/titiler/pgstac/model/#registermosaic","text":"class RegisterMosaic ( __pydantic_self__ , ** data : 'Any' ) Model of /register endpoint input.","title":"RegisterMosaic"},{"location":"api/titiler/pgstac/model/#ancestors-in-mro_6","text":"titiler.pgstac.model.PgSTACSearch pydantic.main.BaseModel","title":"Ancestors (in MRO)"},{"location":"api/titiler/pgstac/model/#class-variables_6","text":"model_config model_fields","title":"Class variables"},{"location":"api/titiler/pgstac/model/#static-methods_6","text":"","title":"Static methods"},{"location":"api/titiler/pgstac/model/#construct_6","text":"def construct ( _fields_set : 'set[str] | None' = None , ** values : 'Any' ) -> 'Model'","title":"construct"},{"location":"api/titiler/pgstac/model/#from_orm_6","text":"def from_orm ( obj : 'Any' ) -> 'Model'","title":"from_orm"},{"location":"api/titiler/pgstac/model/#model_construct_6","text":"def model_construct ( _fields_set : 'set[str] | None' = None , ** values : 'Any' ) -> 'Model' Creates a new instance of the Model class with validated data. Creates a new model setting __dict__ and __pydantic_fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed. Behaves as if Config.extra = 'allow' was set since it adds all passed values Parameters: Name Type Description Default _fields_set None The set of field names accepted for the Model instance. None values None Trusted or pre-validated data dictionary. None Returns: Type Description None A new instance of the Model class with validated data.","title":"model_construct"},{"location":"api/titiler/pgstac/model/#model_json_schema_6","text":"def model_json_schema ( by_alias : 'bool' = True , ref_template : 'str' = '#/$defs/ {model} ' , schema_generator : 'type[GenerateJsonSchema]' = < class ' pydantic . json_schema . GenerateJsonSchema '>, mode : 'JsonSchemaMode' = 'validation' ) -> 'dict[str, Any]' Generates a JSON schema for a model class. Parameters: Name Type Description Default by_alias None Whether to use attribute aliases or not. None ref_template None The reference template. None schema_generator None To override the logic used to generate the JSON schema, as a subclass of GenerateJsonSchema with your desired modifications None mode None The mode in which to generate the schema. None Returns: Type Description None The JSON schema for the given model class.","title":"model_json_schema"},{"location":"api/titiler/pgstac/model/#model_parametrized_name_6","text":"def model_parametrized_name ( params : 'tuple[type[Any], ...]' ) -> 'str' Compute the class name for parametrizations of generic classes. This method can be overridden to achieve a custom naming scheme for generic BaseModels. Parameters: Name Type Description Default params None Tuple of types of the class. Given a generic class Model with 2 type variables and a concrete model Model[str, int] , the value (str, int) would be passed to params . None Returns: Type Description None String representing the new class where params are passed to cls as type variables. Raises: Type Description TypeError Raised when trying to generate concrete names for non-generic models.","title":"model_parametrized_name"},{"location":"api/titiler/pgstac/model/#model_rebuild_6","text":"def model_rebuild ( * , force : 'bool' = False , raise_errors : 'bool' = True , _parent_namespace_depth : 'int' = 2 , _types_namespace : 'dict[str, Any] | None' = None ) -> 'bool | None' Try to rebuild the pydantic-core schema for the model. This may be necessary when one of the annotations is a ForwardRef which could not be resolved during the initial attempt to build the schema, and automatic rebuilding fails. Parameters: Name Type Description Default force None Whether to force the rebuilding of the model schema, defaults to False . None raise_errors None Whether to raise errors, defaults to True . None _parent_namespace_depth None The depth level of the parent namespace, defaults to 2. None _types_namespace None The types namespace, defaults to None . None Returns: Type Description None Returns None if the schema is already \"complete\" and rebuilding was not required. If rebuilding was required, returns True if rebuilding was successful, otherwise False .","title":"model_rebuild"},{"location":"api/titiler/pgstac/model/#model_validate_6","text":"def model_validate ( obj : 'Any' , * , strict : 'bool | None' = None , from_attributes : 'bool | None' = None , context : 'dict[str, Any] | None' = None ) -> 'Model' Validate a pydantic model instance. Parameters: Name Type Description Default obj None The object to validate. None strict None Whether to raise an exception on invalid fields. None from_attributes None Whether to extract data from object attributes. None context None Additional context to pass to the validator. None Returns: Type Description None The validated model instance. Raises: Type Description ValidationError If the object could not be validated.","title":"model_validate"},{"location":"api/titiler/pgstac/model/#model_validate_json_6","text":"def model_validate_json ( json_data : 'str | bytes | bytearray' , * , strict : 'bool | None' = None , context : 'dict[str, Any] | None' = None ) -> 'Model' Usage docs: docs.pydantic.dev/2.5/concepts/json/#json-parsing Validate the given JSON data against the Pydantic model. Parameters: Name Type Description Default json_data None The JSON data to validate. None strict None Whether to enforce types strictly. None context None Extra variables to pass to the validator. None Returns: Type Description None The validated Pydantic model. Raises: Type Description ValueError If json_data is not a JSON string.","title":"model_validate_json"},{"location":"api/titiler/pgstac/model/#model_validate_strings_6","text":"def model_validate_strings ( obj : 'Any' , * , strict : 'bool | None' = None , context : 'dict[str, Any] | None' = None ) -> 'Model' Validate the given object contains string data against the Pydantic model. Parameters: Name Type Description Default obj None The object contains string data to validate. None strict None Whether to enforce types strictly. None context None Extra variables to pass to the validator. None Returns: Type Description None The validated Pydantic model.","title":"model_validate_strings"},{"location":"api/titiler/pgstac/model/#parse_file_6","text":"def parse_file ( path : 'str | Path' , * , content_type : 'str | None' = None , encoding : 'str' = 'utf8' , proto : 'DeprecatedParseProtocol | None' = None , allow_pickle : 'bool' = False ) -> 'Model'","title":"parse_file"},{"location":"api/titiler/pgstac/model/#parse_obj_6","text":"def parse_obj ( obj : 'Any' ) -> 'Model'","title":"parse_obj"},{"location":"api/titiler/pgstac/model/#parse_raw_6","text":"def parse_raw ( b : 'str | bytes' , * , content_type : 'str | None' = None , encoding : 'str' = 'utf8' , proto : 'DeprecatedParseProtocol | None' = None , allow_pickle : 'bool' = False ) -> 'Model'","title":"parse_raw"},{"location":"api/titiler/pgstac/model/#schema_6","text":"def schema ( by_alias : 'bool' = True , ref_template : 'str' = '#/$defs/ {model} ' ) -> 'typing.Dict[str, Any]'","title":"schema"},{"location":"api/titiler/pgstac/model/#schema_json_6","text":"def schema_json ( * , by_alias : 'bool' = True , ref_template : 'str' = '#/$defs/ {model} ' , ** dumps_kwargs : 'Any' ) -> 'str'","title":"schema_json"},{"location":"api/titiler/pgstac/model/#update_forward_refs_6","text":"def update_forward_refs ( ** localns : 'Any' ) -> 'None'","title":"update_forward_refs"},{"location":"api/titiler/pgstac/model/#validate_6","text":"def validate ( value : 'Any' ) -> 'Model'","title":"validate"},{"location":"api/titiler/pgstac/model/#validate_bbox_1","text":"def validate_bbox ( v : Union [ Tuple [ float , float , float , float ], Tuple [ float , float , float , float , float , float ]] ) Validate BBOX.","title":"validate_bbox"},{"location":"api/titiler/pgstac/model/#validate_datetime_1","text":"def validate_datetime ( v ) Pgstac does not require the base validator for datetime.","title":"validate_datetime"},{"location":"api/titiler/pgstac/model/#validate_query_fields_1","text":"def validate_query_fields ( values : Dict ) -> Dict Pgstac does not require the base validator for query fields.","title":"validate_query_fields"},{"location":"api/titiler/pgstac/model/#validate_spatial_1","text":"def validate_spatial ( v : Union [ typing_extensions . Annotated [ Union [ geojson_pydantic . geometries . Point , geojson_pydantic . geometries . MultiPoint , geojson_pydantic . geometries . LineString , geojson_pydantic . geometries . MultiLineString , geojson_pydantic . geometries . Polygon , geojson_pydantic . geometries . MultiPolygon , geojson_pydantic . geometries . GeometryCollection ], FieldInfo ( annotation = NoneType , required = True , discriminator = 'type' )], NoneType ], info : pydantic_core . core_schema . ValidationInfo ) Make sure bbox is not used with Intersects.","title":"validate_spatial"},{"location":"api/titiler/pgstac/model/#instance-variables_6","text":"model_computed_fields Get the computed fields of this model instance. model_extra Get extra fields set during validation. model_fields_set Returns the set of fields that have been explicitly set on this model instance.","title":"Instance variables"},{"location":"api/titiler/pgstac/model/#methods_6","text":"","title":"Methods"},{"location":"api/titiler/pgstac/model/#copy_6","text":"def copy ( self : 'Model' , * , include : 'AbstractSetIntStr | MappingIntStrAny | None' = None , exclude : 'AbstractSetIntStr | MappingIntStrAny | None' = None , update : 'typing.Dict[str, Any] | None' = None , deep : 'bool' = False ) -> 'Model' Returns a copy of the model. Deprecated This method is now deprecated; use model_copy instead. If you need include or exclude , use: data = self . model_dump ( include = include , exclude = exclude , round_trip = True ) data = { ** data , ** ( update or {})} copied = self . model_validate ( data ) Parameters: Name Type Description Default include None Optional set or mapping specifying which fields to include in the copied model. None exclude None Optional set or mapping specifying which fields to exclude in the copied model. None update None Optional dictionary of field-value pairs to override field values in the copied model. None deep None If True, the values of fields that are Pydantic models will be deep copied. None Returns: Type Description None A copy of the model with included, excluded and updated fields as specified.","title":"copy"},{"location":"api/titiler/pgstac/model/#dict_6","text":"def dict ( self , * , include : 'IncEx' = None , exclude : 'IncEx' = None , by_alias : 'bool' = False , exclude_unset : 'bool' = False , exclude_defaults : 'bool' = False , exclude_none : 'bool' = False ) -> 'typing.Dict[str, Any]'","title":"dict"},{"location":"api/titiler/pgstac/model/#json_6","text":"def json ( self , * , include : 'IncEx' = None , exclude : 'IncEx' = None , by_alias : 'bool' = False , exclude_unset : 'bool' = False , exclude_defaults : 'bool' = False , exclude_none : 'bool' = False , encoder : 'typing.Callable[[Any], Any] | None' = PydanticUndefined , models_as_dict : 'bool' = PydanticUndefined , ** dumps_kwargs : 'Any' ) -> 'str'","title":"json"},{"location":"api/titiler/pgstac/model/#model_copy_6","text":"def model_copy ( self : 'Model' , * , update : 'dict[str, Any] | None' = None , deep : 'bool' = False ) -> 'Model' Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#model_copy Returns a copy of the model. Parameters: Name Type Description Default update None Values to change/add in the new model. Note: the data is not validated before creating the new model. You should trust this data. None deep None Set to True to make a deep copy of the model. None Returns: Type Description None New model instance.","title":"model_copy"},{"location":"api/titiler/pgstac/model/#model_dump_6","text":"def model_dump ( self , * , mode : \"Literal[('json', 'python')] | str\" = 'python' , include : 'IncEx' = None , exclude : 'IncEx' = None , by_alias : 'bool' = False , exclude_unset : 'bool' = False , exclude_defaults : 'bool' = False , exclude_none : 'bool' = False , round_trip : 'bool' = False , warnings : 'bool' = True ) -> 'dict[str, Any]' Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#modelmodel_dump Generate a dictionary representation of the model, optionally specifying which fields to include or exclude. Parameters: Name Type Description Default mode None The mode in which to_python should run. If mode is 'json', the dictionary will only contain JSON serializable types. If mode is 'python', the dictionary may contain any Python objects. None include None A list of fields to include in the output. None exclude None A list of fields to exclude from the output. None by_alias None Whether to use the field's alias in the dictionary key if defined. None exclude_unset None Whether to exclude fields that have not been explicitly set. None exclude_defaults None Whether to exclude fields that are set to their default value from the output. None exclude_none None Whether to exclude fields that have a value of None from the output. None round_trip None Whether to enable serialization and deserialization round-trip support. None warnings None Whether to log warnings when invalid fields are encountered. None Returns: Type Description None A dictionary representation of the model.","title":"model_dump"},{"location":"api/titiler/pgstac/model/#model_dump_json_6","text":"def model_dump_json ( self , * , indent : 'int | None' = None , include : 'IncEx' = None , exclude : 'IncEx' = None , by_alias : 'bool' = False , exclude_unset : 'bool' = False , exclude_defaults : 'bool' = False , exclude_none : 'bool' = False , round_trip : 'bool' = False , warnings : 'bool' = True ) -> 'str' Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#modelmodel_dump_json Generates a JSON representation of the model using Pydantic's to_json method. Parameters: Name Type Description Default indent None Indentation to use in the JSON output. If None is passed, the output will be compact. None include None Field(s) to include in the JSON output. Can take either a string or set of strings. None exclude None Field(s) to exclude from the JSON output. Can take either a string or set of strings. None by_alias None Whether to serialize using field aliases. None exclude_unset None Whether to exclude fields that have not been explicitly set. None exclude_defaults None Whether to exclude fields that have the default value. None exclude_none None Whether to exclude fields that have a value of None . None round_trip None Whether to use serialization/deserialization between JSON and class instance. None warnings None Whether to show any warnings that occurred during serialization. None Returns: Type Description None A JSON string representation of the model.","title":"model_dump_json"},{"location":"api/titiler/pgstac/model/#model_post_init_6","text":"def model_post_init ( self , _BaseModel__context : 'Any' ) -> 'None' Override this method to perform additional initialization after __init__ and model_construct . This is useful if you want to do some validation that requires the entire model to be initialized.","title":"model_post_init"},{"location":"api/titiler/pgstac/model/#registerresponse","text":"class RegisterResponse ( __pydantic_self__ , ** data : 'Any' ) Response model for /register endpoint.","title":"RegisterResponse"},{"location":"api/titiler/pgstac/model/#ancestors-in-mro_7","text":"pydantic.main.BaseModel","title":"Ancestors (in MRO)"},{"location":"api/titiler/pgstac/model/#class-variables_7","text":"model_config model_fields","title":"Class variables"},{"location":"api/titiler/pgstac/model/#static-methods_7","text":"","title":"Static methods"},{"location":"api/titiler/pgstac/model/#construct_7","text":"def construct ( _fields_set : 'set[str] | None' = None , ** values : 'Any' ) -> 'Model'","title":"construct"},{"location":"api/titiler/pgstac/model/#from_orm_7","text":"def from_orm ( obj : 'Any' ) -> 'Model'","title":"from_orm"},{"location":"api/titiler/pgstac/model/#model_construct_7","text":"def model_construct ( _fields_set : 'set[str] | None' = None , ** values : 'Any' ) -> 'Model' Creates a new instance of the Model class with validated data. Creates a new model setting __dict__ and __pydantic_fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed. Behaves as if Config.extra = 'allow' was set since it adds all passed values Parameters: Name Type Description Default _fields_set None The set of field names accepted for the Model instance. None values None Trusted or pre-validated data dictionary. None Returns: Type Description None A new instance of the Model class with validated data.","title":"model_construct"},{"location":"api/titiler/pgstac/model/#model_json_schema_7","text":"def model_json_schema ( by_alias : 'bool' = True , ref_template : 'str' = '#/$defs/ {model} ' , schema_generator : 'type[GenerateJsonSchema]' = < class ' pydantic . json_schema . GenerateJsonSchema '>, mode : 'JsonSchemaMode' = 'validation' ) -> 'dict[str, Any]' Generates a JSON schema for a model class. Parameters: Name Type Description Default by_alias None Whether to use attribute aliases or not. None ref_template None The reference template. None schema_generator None To override the logic used to generate the JSON schema, as a subclass of GenerateJsonSchema with your desired modifications None mode None The mode in which to generate the schema. None Returns: Type Description None The JSON schema for the given model class.","title":"model_json_schema"},{"location":"api/titiler/pgstac/model/#model_parametrized_name_7","text":"def model_parametrized_name ( params : 'tuple[type[Any], ...]' ) -> 'str' Compute the class name for parametrizations of generic classes. This method can be overridden to achieve a custom naming scheme for generic BaseModels. Parameters: Name Type Description Default params None Tuple of types of the class. Given a generic class Model with 2 type variables and a concrete model Model[str, int] , the value (str, int) would be passed to params . None Returns: Type Description None String representing the new class where params are passed to cls as type variables. Raises: Type Description TypeError Raised when trying to generate concrete names for non-generic models.","title":"model_parametrized_name"},{"location":"api/titiler/pgstac/model/#model_rebuild_7","text":"def model_rebuild ( * , force : 'bool' = False , raise_errors : 'bool' = True , _parent_namespace_depth : 'int' = 2 , _types_namespace : 'dict[str, Any] | None' = None ) -> 'bool | None' Try to rebuild the pydantic-core schema for the model. This may be necessary when one of the annotations is a ForwardRef which could not be resolved during the initial attempt to build the schema, and automatic rebuilding fails. Parameters: Name Type Description Default force None Whether to force the rebuilding of the model schema, defaults to False . None raise_errors None Whether to raise errors, defaults to True . None _parent_namespace_depth None The depth level of the parent namespace, defaults to 2. None _types_namespace None The types namespace, defaults to None . None Returns: Type Description None Returns None if the schema is already \"complete\" and rebuilding was not required. If rebuilding was required, returns True if rebuilding was successful, otherwise False .","title":"model_rebuild"},{"location":"api/titiler/pgstac/model/#model_validate_7","text":"def model_validate ( obj : 'Any' , * , strict : 'bool | None' = None , from_attributes : 'bool | None' = None , context : 'dict[str, Any] | None' = None ) -> 'Model' Validate a pydantic model instance. Parameters: Name Type Description Default obj None The object to validate. None strict None Whether to raise an exception on invalid fields. None from_attributes None Whether to extract data from object attributes. None context None Additional context to pass to the validator. None Returns: Type Description None The validated model instance. Raises: Type Description ValidationError If the object could not be validated.","title":"model_validate"},{"location":"api/titiler/pgstac/model/#model_validate_json_7","text":"def model_validate_json ( json_data : 'str | bytes | bytearray' , * , strict : 'bool | None' = None , context : 'dict[str, Any] | None' = None ) -> 'Model' Usage docs: docs.pydantic.dev/2.5/concepts/json/#json-parsing Validate the given JSON data against the Pydantic model. Parameters: Name Type Description Default json_data None The JSON data to validate. None strict None Whether to enforce types strictly. None context None Extra variables to pass to the validator. None Returns: Type Description None The validated Pydantic model. Raises: Type Description ValueError If json_data is not a JSON string.","title":"model_validate_json"},{"location":"api/titiler/pgstac/model/#model_validate_strings_7","text":"def model_validate_strings ( obj : 'Any' , * , strict : 'bool | None' = None , context : 'dict[str, Any] | None' = None ) -> 'Model' Validate the given object contains string data against the Pydantic model. Parameters: Name Type Description Default obj None The object contains string data to validate. None strict None Whether to enforce types strictly. None context None Extra variables to pass to the validator. None Returns: Type Description None The validated Pydantic model.","title":"model_validate_strings"},{"location":"api/titiler/pgstac/model/#parse_file_7","text":"def parse_file ( path : 'str | Path' , * , content_type : 'str | None' = None , encoding : 'str' = 'utf8' , proto : 'DeprecatedParseProtocol | None' = None , allow_pickle : 'bool' = False ) -> 'Model'","title":"parse_file"},{"location":"api/titiler/pgstac/model/#parse_obj_7","text":"def parse_obj ( obj : 'Any' ) -> 'Model'","title":"parse_obj"},{"location":"api/titiler/pgstac/model/#parse_raw_7","text":"def parse_raw ( b : 'str | bytes' , * , content_type : 'str | None' = None , encoding : 'str' = 'utf8' , proto : 'DeprecatedParseProtocol | None' = None , allow_pickle : 'bool' = False ) -> 'Model'","title":"parse_raw"},{"location":"api/titiler/pgstac/model/#schema_7","text":"def schema ( by_alias : 'bool' = True , ref_template : 'str' = '#/$defs/ {model} ' ) -> 'typing.Dict[str, Any]'","title":"schema"},{"location":"api/titiler/pgstac/model/#schema_json_7","text":"def schema_json ( * , by_alias : 'bool' = True , ref_template : 'str' = '#/$defs/ {model} ' , ** dumps_kwargs : 'Any' ) -> 'str'","title":"schema_json"},{"location":"api/titiler/pgstac/model/#update_forward_refs_7","text":"def update_forward_refs ( ** localns : 'Any' ) -> 'None'","title":"update_forward_refs"},{"location":"api/titiler/pgstac/model/#validate_7","text":"def validate ( value : 'Any' ) -> 'Model'","title":"validate"},{"location":"api/titiler/pgstac/model/#instance-variables_7","text":"model_computed_fields Get the computed fields of this model instance. model_extra Get extra fields set during validation. model_fields_set Returns the set of fields that have been explicitly set on this model instance.","title":"Instance variables"},{"location":"api/titiler/pgstac/model/#methods_7","text":"","title":"Methods"},{"location":"api/titiler/pgstac/model/#copy_7","text":"def copy ( self : 'Model' , * , include : 'AbstractSetIntStr | MappingIntStrAny | None' = None , exclude : 'AbstractSetIntStr | MappingIntStrAny | None' = None , update : 'typing.Dict[str, Any] | None' = None , deep : 'bool' = False ) -> 'Model' Returns a copy of the model. Deprecated This method is now deprecated; use model_copy instead. If you need include or exclude , use: data = self . model_dump ( include = include , exclude = exclude , round_trip = True ) data = { ** data , ** ( update or {})} copied = self . model_validate ( data ) Parameters: Name Type Description Default include None Optional set or mapping specifying which fields to include in the copied model. None exclude None Optional set or mapping specifying which fields to exclude in the copied model. None update None Optional dictionary of field-value pairs to override field values in the copied model. None deep None If True, the values of fields that are Pydantic models will be deep copied. None Returns: Type Description None A copy of the model with included, excluded and updated fields as specified.","title":"copy"},{"location":"api/titiler/pgstac/model/#dict_7","text":"def dict ( self , * , include : 'IncEx' = None , exclude : 'IncEx' = None , by_alias : 'bool' = False , exclude_unset : 'bool' = False , exclude_defaults : 'bool' = False , exclude_none : 'bool' = False ) -> 'typing.Dict[str, Any]'","title":"dict"},{"location":"api/titiler/pgstac/model/#json_7","text":"def json ( self , * , include : 'IncEx' = None , exclude : 'IncEx' = None , by_alias : 'bool' = False , exclude_unset : 'bool' = False , exclude_defaults : 'bool' = False , exclude_none : 'bool' = False , encoder : 'typing.Callable[[Any], Any] | None' = PydanticUndefined , models_as_dict : 'bool' = PydanticUndefined , ** dumps_kwargs : 'Any' ) -> 'str'","title":"json"},{"location":"api/titiler/pgstac/model/#model_copy_7","text":"def model_copy ( self : 'Model' , * , update : 'dict[str, Any] | None' = None , deep : 'bool' = False ) -> 'Model' Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#model_copy Returns a copy of the model. Parameters: Name Type Description Default update None Values to change/add in the new model. Note: the data is not validated before creating the new model. You should trust this data. None deep None Set to True to make a deep copy of the model. None Returns: Type Description None New model instance.","title":"model_copy"},{"location":"api/titiler/pgstac/model/#model_dump_7","text":"def model_dump ( self , * , mode : \"Literal[('json', 'python')] | str\" = 'python' , include : 'IncEx' = None , exclude : 'IncEx' = None , by_alias : 'bool' = False , exclude_unset : 'bool' = False , exclude_defaults : 'bool' = False , exclude_none : 'bool' = False , round_trip : 'bool' = False , warnings : 'bool' = True ) -> 'dict[str, Any]' Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#modelmodel_dump Generate a dictionary representation of the model, optionally specifying which fields to include or exclude. Parameters: Name Type Description Default mode None The mode in which to_python should run. If mode is 'json', the dictionary will only contain JSON serializable types. If mode is 'python', the dictionary may contain any Python objects. None include None A list of fields to include in the output. None exclude None A list of fields to exclude from the output. None by_alias None Whether to use the field's alias in the dictionary key if defined. None exclude_unset None Whether to exclude fields that have not been explicitly set. None exclude_defaults None Whether to exclude fields that are set to their default value from the output. None exclude_none None Whether to exclude fields that have a value of None from the output. None round_trip None Whether to enable serialization and deserialization round-trip support. None warnings None Whether to log warnings when invalid fields are encountered. None Returns: Type Description None A dictionary representation of the model.","title":"model_dump"},{"location":"api/titiler/pgstac/model/#model_dump_json_7","text":"def model_dump_json ( self , * , indent : 'int | None' = None , include : 'IncEx' = None , exclude : 'IncEx' = None , by_alias : 'bool' = False , exclude_unset : 'bool' = False , exclude_defaults : 'bool' = False , exclude_none : 'bool' = False , round_trip : 'bool' = False , warnings : 'bool' = True ) -> 'str' Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#modelmodel_dump_json Generates a JSON representation of the model using Pydantic's to_json method. Parameters: Name Type Description Default indent None Indentation to use in the JSON output. If None is passed, the output will be compact. None include None Field(s) to include in the JSON output. Can take either a string or set of strings. None exclude None Field(s) to exclude from the JSON output. Can take either a string or set of strings. None by_alias None Whether to serialize using field aliases. None exclude_unset None Whether to exclude fields that have not been explicitly set. None exclude_defaults None Whether to exclude fields that have the default value. None exclude_none None Whether to exclude fields that have a value of None . None round_trip None Whether to use serialization/deserialization between JSON and class instance. None warnings None Whether to show any warnings that occurred during serialization. None Returns: Type Description None A JSON string representation of the model.","title":"model_dump_json"},{"location":"api/titiler/pgstac/model/#model_post_init_7","text":"def model_post_init ( self , _BaseModel__context : 'Any' ) -> 'None' Override this method to perform additional initialization after __init__ and model_construct . This is useful if you want to do some validation that requires the entire model to be initialized.","title":"model_post_init"},{"location":"api/titiler/pgstac/model/#search","text":"class Search ( __pydantic_self__ , ** data : 'Any' ) PgSTAC Search entry. ref: github.com/stac-utils/pgstac/blob/3499daa2bfa700ae7bb07503795c169bf2ebafc7/sql/004_search.sql#L907-L915","title":"Search"},{"location":"api/titiler/pgstac/model/#ancestors-in-mro_8","text":"pydantic.main.BaseModel","title":"Ancestors (in MRO)"},{"location":"api/titiler/pgstac/model/#class-variables_8","text":"model_config model_fields","title":"Class variables"},{"location":"api/titiler/pgstac/model/#static-methods_8","text":"","title":"Static methods"},{"location":"api/titiler/pgstac/model/#construct_8","text":"def construct ( _fields_set : 'set[str] | None' = None , ** values : 'Any' ) -> 'Model'","title":"construct"},{"location":"api/titiler/pgstac/model/#from_orm_8","text":"def from_orm ( obj : 'Any' ) -> 'Model'","title":"from_orm"},{"location":"api/titiler/pgstac/model/#model_construct_8","text":"def model_construct ( _fields_set : 'set[str] | None' = None , ** values : 'Any' ) -> 'Model' Creates a new instance of the Model class with validated data. Creates a new model setting __dict__ and __pydantic_fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed. Behaves as if Config.extra = 'allow' was set since it adds all passed values Parameters: Name Type Description Default _fields_set None The set of field names accepted for the Model instance. None values None Trusted or pre-validated data dictionary. None Returns: Type Description None A new instance of the Model class with validated data.","title":"model_construct"},{"location":"api/titiler/pgstac/model/#model_json_schema_8","text":"def model_json_schema ( by_alias : 'bool' = True , ref_template : 'str' = '#/$defs/ {model} ' , schema_generator : 'type[GenerateJsonSchema]' = < class ' pydantic . json_schema . GenerateJsonSchema '>, mode : 'JsonSchemaMode' = 'validation' ) -> 'dict[str, Any]' Generates a JSON schema for a model class. Parameters: Name Type Description Default by_alias None Whether to use attribute aliases or not. None ref_template None The reference template. None schema_generator None To override the logic used to generate the JSON schema, as a subclass of GenerateJsonSchema with your desired modifications None mode None The mode in which to generate the schema. None Returns: Type Description None The JSON schema for the given model class.","title":"model_json_schema"},{"location":"api/titiler/pgstac/model/#model_parametrized_name_8","text":"def model_parametrized_name ( params : 'tuple[type[Any], ...]' ) -> 'str' Compute the class name for parametrizations of generic classes. This method can be overridden to achieve a custom naming scheme for generic BaseModels. Parameters: Name Type Description Default params None Tuple of types of the class. Given a generic class Model with 2 type variables and a concrete model Model[str, int] , the value (str, int) would be passed to params . None Returns: Type Description None String representing the new class where params are passed to cls as type variables. Raises: Type Description TypeError Raised when trying to generate concrete names for non-generic models.","title":"model_parametrized_name"},{"location":"api/titiler/pgstac/model/#model_rebuild_8","text":"def model_rebuild ( * , force : 'bool' = False , raise_errors : 'bool' = True , _parent_namespace_depth : 'int' = 2 , _types_namespace : 'dict[str, Any] | None' = None ) -> 'bool | None' Try to rebuild the pydantic-core schema for the model. This may be necessary when one of the annotations is a ForwardRef which could not be resolved during the initial attempt to build the schema, and automatic rebuilding fails. Parameters: Name Type Description Default force None Whether to force the rebuilding of the model schema, defaults to False . None raise_errors None Whether to raise errors, defaults to True . None _parent_namespace_depth None The depth level of the parent namespace, defaults to 2. None _types_namespace None The types namespace, defaults to None . None Returns: Type Description None Returns None if the schema is already \"complete\" and rebuilding was not required. If rebuilding was required, returns True if rebuilding was successful, otherwise False .","title":"model_rebuild"},{"location":"api/titiler/pgstac/model/#model_validate_8","text":"def model_validate ( obj : 'Any' , * , strict : 'bool | None' = None , from_attributes : 'bool | None' = None , context : 'dict[str, Any] | None' = None ) -> 'Model' Validate a pydantic model instance. Parameters: Name Type Description Default obj None The object to validate. None strict None Whether to raise an exception on invalid fields. None from_attributes None Whether to extract data from object attributes. None context None Additional context to pass to the validator. None Returns: Type Description None The validated model instance. Raises: Type Description ValidationError If the object could not be validated.","title":"model_validate"},{"location":"api/titiler/pgstac/model/#model_validate_json_8","text":"def model_validate_json ( json_data : 'str | bytes | bytearray' , * , strict : 'bool | None' = None , context : 'dict[str, Any] | None' = None ) -> 'Model' Usage docs: docs.pydantic.dev/2.5/concepts/json/#json-parsing Validate the given JSON data against the Pydantic model. Parameters: Name Type Description Default json_data None The JSON data to validate. None strict None Whether to enforce types strictly. None context None Extra variables to pass to the validator. None Returns: Type Description None The validated Pydantic model. Raises: Type Description ValueError If json_data is not a JSON string.","title":"model_validate_json"},{"location":"api/titiler/pgstac/model/#model_validate_strings_8","text":"def model_validate_strings ( obj : 'Any' , * , strict : 'bool | None' = None , context : 'dict[str, Any] | None' = None ) -> 'Model' Validate the given object contains string data against the Pydantic model. Parameters: Name Type Description Default obj None The object contains string data to validate. None strict None Whether to enforce types strictly. None context None Extra variables to pass to the validator. None Returns: Type Description None The validated Pydantic model.","title":"model_validate_strings"},{"location":"api/titiler/pgstac/model/#parse_file_8","text":"def parse_file ( path : 'str | Path' , * , content_type : 'str | None' = None , encoding : 'str' = 'utf8' , proto : 'DeprecatedParseProtocol | None' = None , allow_pickle : 'bool' = False ) -> 'Model'","title":"parse_file"},{"location":"api/titiler/pgstac/model/#parse_obj_8","text":"def parse_obj ( obj : 'Any' ) -> 'Model'","title":"parse_obj"},{"location":"api/titiler/pgstac/model/#parse_raw_8","text":"def parse_raw ( b : 'str | bytes' , * , content_type : 'str | None' = None , encoding : 'str' = 'utf8' , proto : 'DeprecatedParseProtocol | None' = None , allow_pickle : 'bool' = False ) -> 'Model'","title":"parse_raw"},{"location":"api/titiler/pgstac/model/#schema_8","text":"def schema ( by_alias : 'bool' = True , ref_template : 'str' = '#/$defs/ {model} ' ) -> 'typing.Dict[str, Any]'","title":"schema"},{"location":"api/titiler/pgstac/model/#schema_json_8","text":"def schema_json ( * , by_alias : 'bool' = True , ref_template : 'str' = '#/$defs/ {model} ' , ** dumps_kwargs : 'Any' ) -> 'str'","title":"schema_json"},{"location":"api/titiler/pgstac/model/#update_forward_refs_8","text":"def update_forward_refs ( ** localns : 'Any' ) -> 'None'","title":"update_forward_refs"},{"location":"api/titiler/pgstac/model/#validate_8","text":"def validate ( value : 'Any' ) -> 'Model'","title":"validate"},{"location":"api/titiler/pgstac/model/#validate_metadata","text":"def validate_metadata ( v ) Set SearchType.search when not present in metadata.","title":"validate_metadata"},{"location":"api/titiler/pgstac/model/#instance-variables_8","text":"model_computed_fields Get the computed fields of this model instance. model_extra Get extra fields set during validation. model_fields_set Returns the set of fields that have been explicitly set on this model instance.","title":"Instance variables"},{"location":"api/titiler/pgstac/model/#methods_8","text":"","title":"Methods"},{"location":"api/titiler/pgstac/model/#copy_8","text":"def copy ( self : 'Model' , * , include : 'AbstractSetIntStr | MappingIntStrAny | None' = None , exclude : 'AbstractSetIntStr | MappingIntStrAny | None' = None , update : 'typing.Dict[str, Any] | None' = None , deep : 'bool' = False ) -> 'Model' Returns a copy of the model. Deprecated This method is now deprecated; use model_copy instead. If you need include or exclude , use: data = self . model_dump ( include = include , exclude = exclude , round_trip = True ) data = { ** data , ** ( update or {})} copied = self . model_validate ( data ) Parameters: Name Type Description Default include None Optional set or mapping specifying which fields to include in the copied model. None exclude None Optional set or mapping specifying which fields to exclude in the copied model. None update None Optional dictionary of field-value pairs to override field values in the copied model. None deep None If True, the values of fields that are Pydantic models will be deep copied. None Returns: Type Description None A copy of the model with included, excluded and updated fields as specified.","title":"copy"},{"location":"api/titiler/pgstac/model/#dict_8","text":"def dict ( self , * , include : 'IncEx' = None , exclude : 'IncEx' = None , by_alias : 'bool' = False , exclude_unset : 'bool' = False , exclude_defaults : 'bool' = False , exclude_none : 'bool' = False ) -> 'typing.Dict[str, Any]'","title":"dict"},{"location":"api/titiler/pgstac/model/#json_8","text":"def json ( self , * , include : 'IncEx' = None , exclude : 'IncEx' = None , by_alias : 'bool' = False , exclude_unset : 'bool' = False , exclude_defaults : 'bool' = False , exclude_none : 'bool' = False , encoder : 'typing.Callable[[Any], Any] | None' = PydanticUndefined , models_as_dict : 'bool' = PydanticUndefined , ** dumps_kwargs : 'Any' ) -> 'str'","title":"json"},{"location":"api/titiler/pgstac/model/#model_copy_8","text":"def model_copy ( self : 'Model' , * , update : 'dict[str, Any] | None' = None , deep : 'bool' = False ) -> 'Model' Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#model_copy Returns a copy of the model. Parameters: Name Type Description Default update None Values to change/add in the new model. Note: the data is not validated before creating the new model. You should trust this data. None deep None Set to True to make a deep copy of the model. None Returns: Type Description None New model instance.","title":"model_copy"},{"location":"api/titiler/pgstac/model/#model_dump_8","text":"def model_dump ( self , * , mode : \"Literal[('json', 'python')] | str\" = 'python' , include : 'IncEx' = None , exclude : 'IncEx' = None , by_alias : 'bool' = False , exclude_unset : 'bool' = False , exclude_defaults : 'bool' = False , exclude_none : 'bool' = False , round_trip : 'bool' = False , warnings : 'bool' = True ) -> 'dict[str, Any]' Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#modelmodel_dump Generate a dictionary representation of the model, optionally specifying which fields to include or exclude. Parameters: Name Type Description Default mode None The mode in which to_python should run. If mode is 'json', the dictionary will only contain JSON serializable types. If mode is 'python', the dictionary may contain any Python objects. None include None A list of fields to include in the output. None exclude None A list of fields to exclude from the output. None by_alias None Whether to use the field's alias in the dictionary key if defined. None exclude_unset None Whether to exclude fields that have not been explicitly set. None exclude_defaults None Whether to exclude fields that are set to their default value from the output. None exclude_none None Whether to exclude fields that have a value of None from the output. None round_trip None Whether to enable serialization and deserialization round-trip support. None warnings None Whether to log warnings when invalid fields are encountered. None Returns: Type Description None A dictionary representation of the model.","title":"model_dump"},{"location":"api/titiler/pgstac/model/#model_dump_json_8","text":"def model_dump_json ( self , * , indent : 'int | None' = None , include : 'IncEx' = None , exclude : 'IncEx' = None , by_alias : 'bool' = False , exclude_unset : 'bool' = False , exclude_defaults : 'bool' = False , exclude_none : 'bool' = False , round_trip : 'bool' = False , warnings : 'bool' = True ) -> 'str' Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#modelmodel_dump_json Generates a JSON representation of the model using Pydantic's to_json method. Parameters: Name Type Description Default indent None Indentation to use in the JSON output. If None is passed, the output will be compact. None include None Field(s) to include in the JSON output. Can take either a string or set of strings. None exclude None Field(s) to exclude from the JSON output. Can take either a string or set of strings. None by_alias None Whether to serialize using field aliases. None exclude_unset None Whether to exclude fields that have not been explicitly set. None exclude_defaults None Whether to exclude fields that have the default value. None exclude_none None Whether to exclude fields that have a value of None . None round_trip None Whether to use serialization/deserialization between JSON and class instance. None warnings None Whether to show any warnings that occurred during serialization. None Returns: Type Description None A JSON string representation of the model.","title":"model_dump_json"},{"location":"api/titiler/pgstac/model/#model_post_init_8","text":"def model_post_init ( self , _BaseModel__context : 'Any' ) -> 'None' Override this method to perform additional initialization after __init__ and model_construct . This is useful if you want to do some validation that requires the entire model to be initialized.","title":"model_post_init"},{"location":"api/titiler/pgstac/mosaic/","text":"Module titiler.pgstac.mosaic \u00b6 TiTiler.PgSTAC custom Mosaic Backend and Custom STACReader. Variables \u00b6 WGS84_CRS cache_config retry_config Classes \u00b6 CustomSTACReader \u00b6 class CustomSTACReader ( input : Dict [ str , Any ], tms : morecantile . models . TileMatrixSet = < TileMatrixSet title = 'Google Maps Compatible for the World' id = 'WebMercatorQuad' crs = 'http://www.opengis.net/def/crs/EPSG/0/3857>, minzoom : int = NOTHING , maxzoom : int = NOTHING , reader : Type [ rio_tiler . io . base . BaseReader ] = < class ' rio_tiler . io . rasterio . Reader '>, reader_options : Dict = NOTHING , ctx : Any = < class ' rasterio . env . Env '> ) Simplified STAC Reader. Inputs should be in form of: { \"id\": \"IAMASTACITEM\", \"collection\": \"mycollection\", \"bbox\": (0, 0, 10, 10), \"assets\": { \"COG\": { \"href\": \" somewhereovertherainbow.io/cog.tif \" } } } Ancestors (in MRO) \u00b6 rio_tiler.io.base.MultiBaseReader rio_tiler.io.base.SpatialMixin Instance variables \u00b6 geographic_bounds Return dataset bounds in geographic_crs. Methods \u00b6 feature \u00b6 def feature ( self , shape : Dict , assets : Union [ Sequence [ str ], str ] = None , expression : Union [ str , NoneType ] = None , asset_indexes : Union [ Dict [ str , Union [ Sequence [ int ], int ]], NoneType ] = None , asset_as_band : bool = False , ** kwargs : Any ) -> rio_tiler . models . ImageData Read and merge parts defined by geojson feature from multiple assets. Parameters: Name Type Description Default shape dict Valid GeoJSON feature. None assets sequence of str or str assets to fetch info from. None expression str rio-tiler expression for the asset list (e.g. asset1/asset2+asset3). None asset_indexes dict Band indexes for each asset (e.g {\"asset1\": 1, \"asset2\": (1, 2,)}). None kwargs optional Options to forward to the self.reader.feature method. None Returns: Type Description rio_tiler.models.ImageData ImageData instance with data, mask and tile spatial info. info \u00b6 def info ( self , assets : Union [ Sequence [ str ], str ] = None , ** kwargs : Any ) -> Dict [ str , rio_tiler . models . Info ] Return metadata from multiple assets. Parameters: Name Type Description Default assets sequence of str or str assets to fetch info from. Required keyword argument. None Returns: Type Description dict Multiple assets info in form of {\"asset1\": rio_tile.models.Info}. merged_statistics \u00b6 def merged_statistics ( self , assets : Union [ Sequence [ str ], str ] = None , expression : Union [ str , NoneType ] = None , asset_indexes : Union [ Dict [ str , Union [ Sequence [ int ], int ]], NoneType ] = None , categorical : bool = False , categories : Union [ List [ float ], NoneType ] = None , percentiles : Union [ List [ int ], NoneType ] = None , hist_options : Union [ Dict , NoneType ] = None , max_size : int = 1024 , ** kwargs : Any ) -> Dict [ str , rio_tiler . models . BandStatistics ] Return array statistics for multiple assets. Parameters: Name Type Description Default assets sequence of str or str assets to fetch info from. None expression str rio-tiler expression for the asset list (e.g. asset1/asset2+asset3). None asset_indexes dict Band indexes for each asset (e.g {\"asset1\": 1, \"asset2\": (1, 2,)}). None categorical bool treat input data as categorical data. Defaults to False. False categories list of numbers list of categories to return value for. None percentiles list of numbers list of percentile values to calculate. Defaults to [2, 98] . [2, 98] hist_options dict Options to forward to numpy.histogram function. None max_size int Limit the size of the longest dimension of the dataset read, respecting bounds X/Y aspect ratio. Defaults to 1024. 1024 kwargs optional Options to forward to the self.preview method. None Returns: Type Description Dict[str, rio_tiler.models.BandStatistics] bands statistics. parse_expression \u00b6 def parse_expression ( self , expression : str , asset_as_band : bool = False ) -> Tuple Parse rio-tiler band math expression. part \u00b6 def part ( self , bbox : Tuple [ float , float , float , float ], assets : Union [ Sequence [ str ], str ] = None , expression : Union [ str , NoneType ] = None , asset_indexes : Union [ Dict [ str , Union [ Sequence [ int ], int ]], NoneType ] = None , asset_as_band : bool = False , ** kwargs : Any ) -> rio_tiler . models . ImageData Read and merge parts from multiple assets. Parameters: Name Type Description Default bbox tuple Output bounds (left, bottom, right, top) in target crs. None assets sequence of str or str assets to fetch info from. None expression str rio-tiler expression for the asset list (e.g. asset1/asset2+asset3). None asset_indexes dict Band indexes for each asset (e.g {\"asset1\": 1, \"asset2\": (1, 2,)}). None kwargs optional Options to forward to the self.reader.part method. None Returns: Type Description rio_tiler.models.ImageData ImageData instance with data, mask and tile spatial info. point \u00b6 def point ( self , lon : float , lat : float , assets : Union [ Sequence [ str ], str ] = None , expression : Union [ str , NoneType ] = None , asset_indexes : Union [ Dict [ str , Union [ Sequence [ int ], int ]], NoneType ] = None , asset_as_band : bool = False , ** kwargs : Any ) -> rio_tiler . models . PointData Read pixel value from multiple assets. Parameters: Name Type Description Default lon float Longitude. None lat float Latitude. None assets sequence of str or str assets to fetch info from. None expression str rio-tiler expression for the asset list (e.g. asset1/asset2+asset3). None asset_indexes dict Band indexes for each asset (e.g {\"asset1\": 1, \"asset2\": (1, 2,)}). None kwargs optional Options to forward to the self.reader.point method. None Returns: Type Description None PointData preview \u00b6 def preview ( self , assets : Union [ Sequence [ str ], str ] = None , expression : Union [ str , NoneType ] = None , asset_indexes : Union [ Dict [ str , Union [ Sequence [ int ], int ]], NoneType ] = None , asset_as_band : bool = False , ** kwargs : Any ) -> rio_tiler . models . ImageData Read and merge previews from multiple assets. Parameters: Name Type Description Default assets sequence of str or str assets to fetch info from. None expression str rio-tiler expression for the asset list (e.g. asset1/asset2+asset3). None asset_indexes dict Band indexes for each asset (e.g {\"asset1\": 1, \"asset2\": (1, 2,)}). None kwargs optional Options to forward to the self.reader.preview method. None Returns: Type Description rio_tiler.models.ImageData ImageData instance with data, mask and tile spatial info. statistics \u00b6 def statistics ( self , assets : Union [ Sequence [ str ], str ] = None , asset_indexes : Union [ Dict [ str , Union [ Sequence [ int ], int ]], NoneType ] = None , asset_expression : Union [ Dict [ str , str ], NoneType ] = None , ** kwargs : Any ) -> Dict [ str , Dict [ str , rio_tiler . models . BandStatistics ]] Return array statistics for multiple assets. Parameters: Name Type Description Default assets sequence of str or str assets to fetch info from. None asset_indexes dict Band indexes for each asset (e.g {\"asset1\": 1, \"asset2\": (1, 2,)}). None asset_expression dict rio-tiler expression for each asset (e.g. {\"asset1\": \"b1/b2+b3\", \"asset2\": ...}). None kwargs optional Options to forward to the self.reader.statistics method. None Returns: Type Description dict Multiple assets statistics in form of {\"asset1\": {\"1\": rio_tiler.models.BandStatistics, ...}}. tile \u00b6 def tile ( self , tile_x : int , tile_y : int , tile_z : int , assets : Union [ Sequence [ str ], str ] = None , expression : Union [ str , NoneType ] = None , asset_indexes : Union [ Dict [ str , Union [ Sequence [ int ], int ]], NoneType ] = None , asset_as_band : bool = False , ** kwargs : Any ) -> rio_tiler . models . ImageData Read and merge Wep Map tiles from multiple assets. Parameters: Name Type Description Default tile_x int Tile's horizontal index. None tile_y int Tile's vertical index. None tile_z int Tile's zoom level index. None assets sequence of str or str assets to fetch info from. None expression str rio-tiler expression for the asset list (e.g. asset1/asset2+asset3). None asset_indexes dict Band indexes for each asset (e.g {\"asset1\": 1, \"asset2\": (1, 2,)}). None kwargs optional Options to forward to the self.reader.tile method. None Returns: Type Description rio_tiler.models.ImageData ImageData instance with data, mask and tile spatial info. tile_exists \u00b6 def tile_exists ( self , tile_x : int , tile_y : int , tile_z : int ) -> bool Check if a tile intersects the dataset bounds. Parameters: Name Type Description Default tile_x int Tile's horizontal index. None tile_y int Tile's vertical index. None tile_z int Tile's zoom level index. None Returns: Type Description bool True if the tile intersects the dataset bounds. PGSTACBackend \u00b6 class PGSTACBackend ( input : str , pool : psycopg_pool . pool . ConnectionPool , tms : morecantile . models . TileMatrixSet = < TileMatrixSet title = 'Google Maps Compatible for the World' id = 'WebMercatorQuad' crs = 'http://www.opengis.net/def/crs/EPSG/0/3857>, minzoom : int = NOTHING , maxzoom : int = NOTHING , reader_options : Dict = NOTHING , bounds : Tuple [ float , float , float , float ] = ( - 180 , - 90 , 180 , 90 ), crs : rasterio . crs . CRS = CRS . from_epsg ( 4326 ), geographic_crs : rasterio . crs . CRS = CRS . from_epsg ( 4326 ) ) PgSTAC Mosaic Backend. Ancestors (in MRO) \u00b6 cogeo_mosaic.backends.base.BaseBackend rio_tiler.io.base.BaseReader rio_tiler.io.base.SpatialMixin Instance variables \u00b6 center Return center from the mosaic definition. geographic_bounds Return dataset bounds in geographic_crs. mosaicid Return sha224 id of the mosaicjson document. quadkey_zoom Return Quadkey zoom property. Methods \u00b6 assets_for_bbox \u00b6 def assets_for_bbox ( self , xmin : float , ymin : float , xmax : float , ymax : float , coord_crs : rasterio . crs . CRS = CRS . from_epsg ( 4326 ), ** kwargs : Any ) -> List [ Dict ] Retrieve assets for bbox. assets_for_point \u00b6 def assets_for_point ( self , lng : float , lat : float , coord_crs : rasterio . crs . CRS = CRS . from_epsg ( 4326 ), ** kwargs : Any ) -> List [ Dict ] Retrieve assets for point. assets_for_tile \u00b6 def assets_for_tile ( self , x : int , y : int , z : int , ** kwargs : Any ) -> List [ Dict ] Retrieve assets for tile. feature \u00b6 def feature ( self , shape : Dict , dst_crs : Union [ rasterio . crs . CRS , NoneType ] = None , shape_crs : rasterio . crs . CRS = CRS . from_epsg ( 4326 ), max_size : int = 1024 , scan_limit : Union [ int , NoneType ] = None , items_limit : Union [ int , NoneType ] = None , time_limit : Union [ int , NoneType ] = None , exitwhenfull : Union [ bool , NoneType ] = None , skipcovered : Union [ bool , NoneType ] = None , ** kwargs : Any ) -> Tuple [ rio_tiler . models . ImageData , List [ str ]] Create an Image from multiple items for a GeoJSON feature. find_quadkeys \u00b6 def find_quadkeys ( self , tile : morecantile . commons . Tile , quadkey_zoom : int ) -> List [ str ] Find quadkeys at desired zoom for tile Parameters: Name Type Description Default tile morecantile.Tile Input tile to use when searching for quadkeys None quadkey_zoom int Zoom level None Returns: Type Description list List[str] of quadkeys get_assets \u00b6 def get_assets ( * args : Any , ** kwargs : Any ) info \u00b6 def info ( self , quadkeys : bool = False ) -> cogeo_mosaic . models . Info Mosaic info. part \u00b6 def part ( self , bbox : Tuple [ float , float , float , float ], dst_crs : Union [ rasterio . crs . CRS , NoneType ] = None , bounds_crs : rasterio . crs . CRS = CRS . from_epsg ( 4326 ), scan_limit : Union [ int , NoneType ] = None , items_limit : Union [ int , NoneType ] = None , time_limit : Union [ int , NoneType ] = None , exitwhenfull : Union [ bool , NoneType ] = None , skipcovered : Union [ bool , NoneType ] = None , ** kwargs : Any ) -> Tuple [ rio_tiler . models . ImageData , List [ str ]] Create an Image from multiple items for a bbox. point \u00b6 def point ( self , lon : float , lat : float , coord_crs : rasterio . crs . CRS = CRS . from_epsg ( 4326 ), scan_limit : Union [ int , NoneType ] = None , items_limit : Union [ int , NoneType ] = None , time_limit : Union [ int , NoneType ] = None , exitwhenfull : Union [ bool , NoneType ] = None , skipcovered : Union [ bool , NoneType ] = None , ** kwargs : Any ) -> List Get Point value from multiple observation. preview \u00b6 def preview ( self ) PlaceHolder for BaseReader.preview. statistics \u00b6 def statistics ( self ) PlaceHolder for BaseReader.statistics. tile \u00b6 def tile ( self , tile_x : int , tile_y : int , tile_z : int , scan_limit : Union [ int , NoneType ] = None , items_limit : Union [ int , NoneType ] = None , time_limit : Union [ int , NoneType ] = None , exitwhenfull : Union [ bool , NoneType ] = None , skipcovered : Union [ bool , NoneType ] = None , ** kwargs : Any ) -> Tuple [ rio_tiler . models . ImageData , List [ str ]] Get Tile from multiple observation. tile_exists \u00b6 def tile_exists ( self , tile_x : int , tile_y : int , tile_z : int ) -> bool Check if a tile intersects the dataset bounds. Parameters: Name Type Description Default tile_x int Tile's horizontal index. None tile_y int Tile's vertical index. None tile_z int Tile's zoom level index. None Returns: Type Description bool True if the tile intersects the dataset bounds. update \u00b6 def update ( self ) -> None We overwrite the default method. write \u00b6 def write ( self , overwrite : bool = True ) -> None This method is not used but is required by the abstract class.","title":"mosaic"},{"location":"api/titiler/pgstac/mosaic/#module-titilerpgstacmosaic","text":"TiTiler.PgSTAC custom Mosaic Backend and Custom STACReader.","title":"Module titiler.pgstac.mosaic"},{"location":"api/titiler/pgstac/mosaic/#variables","text":"WGS84_CRS cache_config retry_config","title":"Variables"},{"location":"api/titiler/pgstac/mosaic/#classes","text":"","title":"Classes"},{"location":"api/titiler/pgstac/mosaic/#customstacreader","text":"class CustomSTACReader ( input : Dict [ str , Any ], tms : morecantile . models . TileMatrixSet = < TileMatrixSet title = 'Google Maps Compatible for the World' id = 'WebMercatorQuad' crs = 'http://www.opengis.net/def/crs/EPSG/0/3857>, minzoom : int = NOTHING , maxzoom : int = NOTHING , reader : Type [ rio_tiler . io . base . BaseReader ] = < class ' rio_tiler . io . rasterio . Reader '>, reader_options : Dict = NOTHING , ctx : Any = < class ' rasterio . env . Env '> ) Simplified STAC Reader. Inputs should be in form of: { \"id\": \"IAMASTACITEM\", \"collection\": \"mycollection\", \"bbox\": (0, 0, 10, 10), \"assets\": { \"COG\": { \"href\": \" somewhereovertherainbow.io/cog.tif \" } } }","title":"CustomSTACReader"},{"location":"api/titiler/pgstac/mosaic/#ancestors-in-mro","text":"rio_tiler.io.base.MultiBaseReader rio_tiler.io.base.SpatialMixin","title":"Ancestors (in MRO)"},{"location":"api/titiler/pgstac/mosaic/#instance-variables","text":"geographic_bounds Return dataset bounds in geographic_crs.","title":"Instance variables"},{"location":"api/titiler/pgstac/mosaic/#methods","text":"","title":"Methods"},{"location":"api/titiler/pgstac/mosaic/#feature","text":"def feature ( self , shape : Dict , assets : Union [ Sequence [ str ], str ] = None , expression : Union [ str , NoneType ] = None , asset_indexes : Union [ Dict [ str , Union [ Sequence [ int ], int ]], NoneType ] = None , asset_as_band : bool = False , ** kwargs : Any ) -> rio_tiler . models . ImageData Read and merge parts defined by geojson feature from multiple assets. Parameters: Name Type Description Default shape dict Valid GeoJSON feature. None assets sequence of str or str assets to fetch info from. None expression str rio-tiler expression for the asset list (e.g. asset1/asset2+asset3). None asset_indexes dict Band indexes for each asset (e.g {\"asset1\": 1, \"asset2\": (1, 2,)}). None kwargs optional Options to forward to the self.reader.feature method. None Returns: Type Description rio_tiler.models.ImageData ImageData instance with data, mask and tile spatial info.","title":"feature"},{"location":"api/titiler/pgstac/mosaic/#info","text":"def info ( self , assets : Union [ Sequence [ str ], str ] = None , ** kwargs : Any ) -> Dict [ str , rio_tiler . models . Info ] Return metadata from multiple assets. Parameters: Name Type Description Default assets sequence of str or str assets to fetch info from. Required keyword argument. None Returns: Type Description dict Multiple assets info in form of {\"asset1\": rio_tile.models.Info}.","title":"info"},{"location":"api/titiler/pgstac/mosaic/#merged_statistics","text":"def merged_statistics ( self , assets : Union [ Sequence [ str ], str ] = None , expression : Union [ str , NoneType ] = None , asset_indexes : Union [ Dict [ str , Union [ Sequence [ int ], int ]], NoneType ] = None , categorical : bool = False , categories : Union [ List [ float ], NoneType ] = None , percentiles : Union [ List [ int ], NoneType ] = None , hist_options : Union [ Dict , NoneType ] = None , max_size : int = 1024 , ** kwargs : Any ) -> Dict [ str , rio_tiler . models . BandStatistics ] Return array statistics for multiple assets. Parameters: Name Type Description Default assets sequence of str or str assets to fetch info from. None expression str rio-tiler expression for the asset list (e.g. asset1/asset2+asset3). None asset_indexes dict Band indexes for each asset (e.g {\"asset1\": 1, \"asset2\": (1, 2,)}). None categorical bool treat input data as categorical data. Defaults to False. False categories list of numbers list of categories to return value for. None percentiles list of numbers list of percentile values to calculate. Defaults to [2, 98] . [2, 98] hist_options dict Options to forward to numpy.histogram function. None max_size int Limit the size of the longest dimension of the dataset read, respecting bounds X/Y aspect ratio. Defaults to 1024. 1024 kwargs optional Options to forward to the self.preview method. None Returns: Type Description Dict[str, rio_tiler.models.BandStatistics] bands statistics.","title":"merged_statistics"},{"location":"api/titiler/pgstac/mosaic/#parse_expression","text":"def parse_expression ( self , expression : str , asset_as_band : bool = False ) -> Tuple Parse rio-tiler band math expression.","title":"parse_expression"},{"location":"api/titiler/pgstac/mosaic/#part","text":"def part ( self , bbox : Tuple [ float , float , float , float ], assets : Union [ Sequence [ str ], str ] = None , expression : Union [ str , NoneType ] = None , asset_indexes : Union [ Dict [ str , Union [ Sequence [ int ], int ]], NoneType ] = None , asset_as_band : bool = False , ** kwargs : Any ) -> rio_tiler . models . ImageData Read and merge parts from multiple assets. Parameters: Name Type Description Default bbox tuple Output bounds (left, bottom, right, top) in target crs. None assets sequence of str or str assets to fetch info from. None expression str rio-tiler expression for the asset list (e.g. asset1/asset2+asset3). None asset_indexes dict Band indexes for each asset (e.g {\"asset1\": 1, \"asset2\": (1, 2,)}). None kwargs optional Options to forward to the self.reader.part method. None Returns: Type Description rio_tiler.models.ImageData ImageData instance with data, mask and tile spatial info.","title":"part"},{"location":"api/titiler/pgstac/mosaic/#point","text":"def point ( self , lon : float , lat : float , assets : Union [ Sequence [ str ], str ] = None , expression : Union [ str , NoneType ] = None , asset_indexes : Union [ Dict [ str , Union [ Sequence [ int ], int ]], NoneType ] = None , asset_as_band : bool = False , ** kwargs : Any ) -> rio_tiler . models . PointData Read pixel value from multiple assets. Parameters: Name Type Description Default lon float Longitude. None lat float Latitude. None assets sequence of str or str assets to fetch info from. None expression str rio-tiler expression for the asset list (e.g. asset1/asset2+asset3). None asset_indexes dict Band indexes for each asset (e.g {\"asset1\": 1, \"asset2\": (1, 2,)}). None kwargs optional Options to forward to the self.reader.point method. None Returns: Type Description None PointData","title":"point"},{"location":"api/titiler/pgstac/mosaic/#preview","text":"def preview ( self , assets : Union [ Sequence [ str ], str ] = None , expression : Union [ str , NoneType ] = None , asset_indexes : Union [ Dict [ str , Union [ Sequence [ int ], int ]], NoneType ] = None , asset_as_band : bool = False , ** kwargs : Any ) -> rio_tiler . models . ImageData Read and merge previews from multiple assets. Parameters: Name Type Description Default assets sequence of str or str assets to fetch info from. None expression str rio-tiler expression for the asset list (e.g. asset1/asset2+asset3). None asset_indexes dict Band indexes for each asset (e.g {\"asset1\": 1, \"asset2\": (1, 2,)}). None kwargs optional Options to forward to the self.reader.preview method. None Returns: Type Description rio_tiler.models.ImageData ImageData instance with data, mask and tile spatial info.","title":"preview"},{"location":"api/titiler/pgstac/mosaic/#statistics","text":"def statistics ( self , assets : Union [ Sequence [ str ], str ] = None , asset_indexes : Union [ Dict [ str , Union [ Sequence [ int ], int ]], NoneType ] = None , asset_expression : Union [ Dict [ str , str ], NoneType ] = None , ** kwargs : Any ) -> Dict [ str , Dict [ str , rio_tiler . models . BandStatistics ]] Return array statistics for multiple assets. Parameters: Name Type Description Default assets sequence of str or str assets to fetch info from. None asset_indexes dict Band indexes for each asset (e.g {\"asset1\": 1, \"asset2\": (1, 2,)}). None asset_expression dict rio-tiler expression for each asset (e.g. {\"asset1\": \"b1/b2+b3\", \"asset2\": ...}). None kwargs optional Options to forward to the self.reader.statistics method. None Returns: Type Description dict Multiple assets statistics in form of {\"asset1\": {\"1\": rio_tiler.models.BandStatistics, ...}}.","title":"statistics"},{"location":"api/titiler/pgstac/mosaic/#tile","text":"def tile ( self , tile_x : int , tile_y : int , tile_z : int , assets : Union [ Sequence [ str ], str ] = None , expression : Union [ str , NoneType ] = None , asset_indexes : Union [ Dict [ str , Union [ Sequence [ int ], int ]], NoneType ] = None , asset_as_band : bool = False , ** kwargs : Any ) -> rio_tiler . models . ImageData Read and merge Wep Map tiles from multiple assets. Parameters: Name Type Description Default tile_x int Tile's horizontal index. None tile_y int Tile's vertical index. None tile_z int Tile's zoom level index. None assets sequence of str or str assets to fetch info from. None expression str rio-tiler expression for the asset list (e.g. asset1/asset2+asset3). None asset_indexes dict Band indexes for each asset (e.g {\"asset1\": 1, \"asset2\": (1, 2,)}). None kwargs optional Options to forward to the self.reader.tile method. None Returns: Type Description rio_tiler.models.ImageData ImageData instance with data, mask and tile spatial info.","title":"tile"},{"location":"api/titiler/pgstac/mosaic/#tile_exists","text":"def tile_exists ( self , tile_x : int , tile_y : int , tile_z : int ) -> bool Check if a tile intersects the dataset bounds. Parameters: Name Type Description Default tile_x int Tile's horizontal index. None tile_y int Tile's vertical index. None tile_z int Tile's zoom level index. None Returns: Type Description bool True if the tile intersects the dataset bounds.","title":"tile_exists"},{"location":"api/titiler/pgstac/mosaic/#pgstacbackend","text":"class PGSTACBackend ( input : str , pool : psycopg_pool . pool . ConnectionPool , tms : morecantile . models . TileMatrixSet = < TileMatrixSet title = 'Google Maps Compatible for the World' id = 'WebMercatorQuad' crs = 'http://www.opengis.net/def/crs/EPSG/0/3857>, minzoom : int = NOTHING , maxzoom : int = NOTHING , reader_options : Dict = NOTHING , bounds : Tuple [ float , float , float , float ] = ( - 180 , - 90 , 180 , 90 ), crs : rasterio . crs . CRS = CRS . from_epsg ( 4326 ), geographic_crs : rasterio . crs . CRS = CRS . from_epsg ( 4326 ) ) PgSTAC Mosaic Backend.","title":"PGSTACBackend"},{"location":"api/titiler/pgstac/mosaic/#ancestors-in-mro_1","text":"cogeo_mosaic.backends.base.BaseBackend rio_tiler.io.base.BaseReader rio_tiler.io.base.SpatialMixin","title":"Ancestors (in MRO)"},{"location":"api/titiler/pgstac/mosaic/#instance-variables_1","text":"center Return center from the mosaic definition. geographic_bounds Return dataset bounds in geographic_crs. mosaicid Return sha224 id of the mosaicjson document. quadkey_zoom Return Quadkey zoom property.","title":"Instance variables"},{"location":"api/titiler/pgstac/mosaic/#methods_1","text":"","title":"Methods"},{"location":"api/titiler/pgstac/mosaic/#assets_for_bbox","text":"def assets_for_bbox ( self , xmin : float , ymin : float , xmax : float , ymax : float , coord_crs : rasterio . crs . CRS = CRS . from_epsg ( 4326 ), ** kwargs : Any ) -> List [ Dict ] Retrieve assets for bbox.","title":"assets_for_bbox"},{"location":"api/titiler/pgstac/mosaic/#assets_for_point","text":"def assets_for_point ( self , lng : float , lat : float , coord_crs : rasterio . crs . CRS = CRS . from_epsg ( 4326 ), ** kwargs : Any ) -> List [ Dict ] Retrieve assets for point.","title":"assets_for_point"},{"location":"api/titiler/pgstac/mosaic/#assets_for_tile","text":"def assets_for_tile ( self , x : int , y : int , z : int , ** kwargs : Any ) -> List [ Dict ] Retrieve assets for tile.","title":"assets_for_tile"},{"location":"api/titiler/pgstac/mosaic/#feature_1","text":"def feature ( self , shape : Dict , dst_crs : Union [ rasterio . crs . CRS , NoneType ] = None , shape_crs : rasterio . crs . CRS = CRS . from_epsg ( 4326 ), max_size : int = 1024 , scan_limit : Union [ int , NoneType ] = None , items_limit : Union [ int , NoneType ] = None , time_limit : Union [ int , NoneType ] = None , exitwhenfull : Union [ bool , NoneType ] = None , skipcovered : Union [ bool , NoneType ] = None , ** kwargs : Any ) -> Tuple [ rio_tiler . models . ImageData , List [ str ]] Create an Image from multiple items for a GeoJSON feature.","title":"feature"},{"location":"api/titiler/pgstac/mosaic/#find_quadkeys","text":"def find_quadkeys ( self , tile : morecantile . commons . Tile , quadkey_zoom : int ) -> List [ str ] Find quadkeys at desired zoom for tile Parameters: Name Type Description Default tile morecantile.Tile Input tile to use when searching for quadkeys None quadkey_zoom int Zoom level None Returns: Type Description list List[str] of quadkeys","title":"find_quadkeys"},{"location":"api/titiler/pgstac/mosaic/#get_assets","text":"def get_assets ( * args : Any , ** kwargs : Any )","title":"get_assets"},{"location":"api/titiler/pgstac/mosaic/#info_1","text":"def info ( self , quadkeys : bool = False ) -> cogeo_mosaic . models . Info Mosaic info.","title":"info"},{"location":"api/titiler/pgstac/mosaic/#part_1","text":"def part ( self , bbox : Tuple [ float , float , float , float ], dst_crs : Union [ rasterio . crs . CRS , NoneType ] = None , bounds_crs : rasterio . crs . CRS = CRS . from_epsg ( 4326 ), scan_limit : Union [ int , NoneType ] = None , items_limit : Union [ int , NoneType ] = None , time_limit : Union [ int , NoneType ] = None , exitwhenfull : Union [ bool , NoneType ] = None , skipcovered : Union [ bool , NoneType ] = None , ** kwargs : Any ) -> Tuple [ rio_tiler . models . ImageData , List [ str ]] Create an Image from multiple items for a bbox.","title":"part"},{"location":"api/titiler/pgstac/mosaic/#point_1","text":"def point ( self , lon : float , lat : float , coord_crs : rasterio . crs . CRS = CRS . from_epsg ( 4326 ), scan_limit : Union [ int , NoneType ] = None , items_limit : Union [ int , NoneType ] = None , time_limit : Union [ int , NoneType ] = None , exitwhenfull : Union [ bool , NoneType ] = None , skipcovered : Union [ bool , NoneType ] = None , ** kwargs : Any ) -> List Get Point value from multiple observation.","title":"point"},{"location":"api/titiler/pgstac/mosaic/#preview_1","text":"def preview ( self ) PlaceHolder for BaseReader.preview.","title":"preview"},{"location":"api/titiler/pgstac/mosaic/#statistics_1","text":"def statistics ( self ) PlaceHolder for BaseReader.statistics.","title":"statistics"},{"location":"api/titiler/pgstac/mosaic/#tile_1","text":"def tile ( self , tile_x : int , tile_y : int , tile_z : int , scan_limit : Union [ int , NoneType ] = None , items_limit : Union [ int , NoneType ] = None , time_limit : Union [ int , NoneType ] = None , exitwhenfull : Union [ bool , NoneType ] = None , skipcovered : Union [ bool , NoneType ] = None , ** kwargs : Any ) -> Tuple [ rio_tiler . models . ImageData , List [ str ]] Get Tile from multiple observation.","title":"tile"},{"location":"api/titiler/pgstac/mosaic/#tile_exists_1","text":"def tile_exists ( self , tile_x : int , tile_y : int , tile_z : int ) -> bool Check if a tile intersects the dataset bounds. Parameters: Name Type Description Default tile_x int Tile's horizontal index. None tile_y int Tile's vertical index. None tile_z int Tile's zoom level index. None Returns: Type Description bool True if the tile intersects the dataset bounds.","title":"tile_exists"},{"location":"api/titiler/pgstac/mosaic/#update","text":"def update ( self ) -> None We overwrite the default method.","title":"update"},{"location":"api/titiler/pgstac/mosaic/#write","text":"def write ( self , overwrite : bool = True ) -> None This method is not used but is required by the abstract class.","title":"write"},{"location":"api/titiler/pgstac/reader/","text":"Module titiler.pgstac.reader \u00b6 Custom STAC reader. Variables \u00b6 DEFAULT_VALID_TYPE WGS84_CRS Classes \u00b6 PgSTACReader \u00b6 class PgSTACReader ( input : pystac . item . Item , tms : morecantile . models . TileMatrixSet = < TileMatrixSet title = 'Google Maps Compatible for the World' id = 'WebMercatorQuad' crs = 'http://www.opengis.net/def/crs/EPSG/0/3857>, minzoom : int = NOTHING , maxzoom : int = NOTHING , geographic_crs : rasterio . crs . CRS = CRS . from_epsg ( 4326 ), include_assets : Union [ Set [ str ], NoneType ] = None , exclude_assets : Union [ Set [ str ], NoneType ] = None , include_asset_types : Set [ str ] = { 'image/tiff; profile=cloud-optimized; application=geotiff' , 'application/x-hdf5' , 'image/x.geotiff' , 'image/vnd.stac.geotiff; cloud-optimized=true' , 'image/tiff; application=geotiff; profile=cloud-optimized' , 'image/jp2' , 'application/x-hdf' , 'image/tiff' , 'image/tiff; application=geotiff' }, exclude_asset_types : Union [ Set [ str ], NoneType ] = None , reader : Type [ rio_tiler . io . base . BaseReader ] = < class ' rio_tiler . io . rasterio . Reader '>, reader_options : Dict = NOTHING , ctx : Any = < class ' rasterio . env . Env '> ) Custom STAC Reader. Only accept pystac.Item as input (while rio_tiler.io.STACReader accepts url or pystac.Item) Ancestors (in MRO) \u00b6 rio_tiler.io.base.MultiBaseReader rio_tiler.io.base.SpatialMixin Instance variables \u00b6 geographic_bounds Return dataset bounds in geographic_crs. Methods \u00b6 feature \u00b6 def feature ( self , shape : Dict , assets : Union [ Sequence [ str ], str ] = None , expression : Union [ str , NoneType ] = None , asset_indexes : Union [ Dict [ str , Union [ Sequence [ int ], int ]], NoneType ] = None , asset_as_band : bool = False , ** kwargs : Any ) -> rio_tiler . models . ImageData Read and merge parts defined by geojson feature from multiple assets. Parameters: Name Type Description Default shape dict Valid GeoJSON feature. None assets sequence of str or str assets to fetch info from. None expression str rio-tiler expression for the asset list (e.g. asset1/asset2+asset3). None asset_indexes dict Band indexes for each asset (e.g {\"asset1\": 1, \"asset2\": (1, 2,)}). None kwargs optional Options to forward to the self.reader.feature method. None Returns: Type Description rio_tiler.models.ImageData ImageData instance with data, mask and tile spatial info. info \u00b6 def info ( self , assets : Union [ Sequence [ str ], str ] = None , ** kwargs : Any ) -> Dict [ str , rio_tiler . models . Info ] Return metadata from multiple assets. Parameters: Name Type Description Default assets sequence of str or str assets to fetch info from. Required keyword argument. None Returns: Type Description dict Multiple assets info in form of {\"asset1\": rio_tile.models.Info}. merged_statistics \u00b6 def merged_statistics ( self , assets : Union [ Sequence [ str ], str ] = None , expression : Union [ str , NoneType ] = None , asset_indexes : Union [ Dict [ str , Union [ Sequence [ int ], int ]], NoneType ] = None , categorical : bool = False , categories : Union [ List [ float ], NoneType ] = None , percentiles : Union [ List [ int ], NoneType ] = None , hist_options : Union [ Dict , NoneType ] = None , max_size : int = 1024 , ** kwargs : Any ) -> Dict [ str , rio_tiler . models . BandStatistics ] Return array statistics for multiple assets. Parameters: Name Type Description Default assets sequence of str or str assets to fetch info from. None expression str rio-tiler expression for the asset list (e.g. asset1/asset2+asset3). None asset_indexes dict Band indexes for each asset (e.g {\"asset1\": 1, \"asset2\": (1, 2,)}). None categorical bool treat input data as categorical data. Defaults to False. False categories list of numbers list of categories to return value for. None percentiles list of numbers list of percentile values to calculate. Defaults to [2, 98] . [2, 98] hist_options dict Options to forward to numpy.histogram function. None max_size int Limit the size of the longest dimension of the dataset read, respecting bounds X/Y aspect ratio. Defaults to 1024. 1024 kwargs optional Options to forward to the self.preview method. None Returns: Type Description Dict[str, rio_tiler.models.BandStatistics] bands statistics. parse_expression \u00b6 def parse_expression ( self , expression : str , asset_as_band : bool = False ) -> Tuple Parse rio-tiler band math expression. part \u00b6 def part ( self , bbox : Tuple [ float , float , float , float ], assets : Union [ Sequence [ str ], str ] = None , expression : Union [ str , NoneType ] = None , asset_indexes : Union [ Dict [ str , Union [ Sequence [ int ], int ]], NoneType ] = None , asset_as_band : bool = False , ** kwargs : Any ) -> rio_tiler . models . ImageData Read and merge parts from multiple assets. Parameters: Name Type Description Default bbox tuple Output bounds (left, bottom, right, top) in target crs. None assets sequence of str or str assets to fetch info from. None expression str rio-tiler expression for the asset list (e.g. asset1/asset2+asset3). None asset_indexes dict Band indexes for each asset (e.g {\"asset1\": 1, \"asset2\": (1, 2,)}). None kwargs optional Options to forward to the self.reader.part method. None Returns: Type Description rio_tiler.models.ImageData ImageData instance with data, mask and tile spatial info. point \u00b6 def point ( self , lon : float , lat : float , assets : Union [ Sequence [ str ], str ] = None , expression : Union [ str , NoneType ] = None , asset_indexes : Union [ Dict [ str , Union [ Sequence [ int ], int ]], NoneType ] = None , asset_as_band : bool = False , ** kwargs : Any ) -> rio_tiler . models . PointData Read pixel value from multiple assets. Parameters: Name Type Description Default lon float Longitude. None lat float Latitude. None assets sequence of str or str assets to fetch info from. None expression str rio-tiler expression for the asset list (e.g. asset1/asset2+asset3). None asset_indexes dict Band indexes for each asset (e.g {\"asset1\": 1, \"asset2\": (1, 2,)}). None kwargs optional Options to forward to the self.reader.point method. None Returns: Type Description None PointData preview \u00b6 def preview ( self , assets : Union [ Sequence [ str ], str ] = None , expression : Union [ str , NoneType ] = None , asset_indexes : Union [ Dict [ str , Union [ Sequence [ int ], int ]], NoneType ] = None , asset_as_band : bool = False , ** kwargs : Any ) -> rio_tiler . models . ImageData Read and merge previews from multiple assets. Parameters: Name Type Description Default assets sequence of str or str assets to fetch info from. None expression str rio-tiler expression for the asset list (e.g. asset1/asset2+asset3). None asset_indexes dict Band indexes for each asset (e.g {\"asset1\": 1, \"asset2\": (1, 2,)}). None kwargs optional Options to forward to the self.reader.preview method. None Returns: Type Description rio_tiler.models.ImageData ImageData instance with data, mask and tile spatial info. statistics \u00b6 def statistics ( self , assets : Union [ Sequence [ str ], str ] = None , asset_indexes : Union [ Dict [ str , Union [ Sequence [ int ], int ]], NoneType ] = None , asset_expression : Union [ Dict [ str , str ], NoneType ] = None , ** kwargs : Any ) -> Dict [ str , Dict [ str , rio_tiler . models . BandStatistics ]] Return array statistics for multiple assets. Parameters: Name Type Description Default assets sequence of str or str assets to fetch info from. None asset_indexes dict Band indexes for each asset (e.g {\"asset1\": 1, \"asset2\": (1, 2,)}). None asset_expression dict rio-tiler expression for each asset (e.g. {\"asset1\": \"b1/b2+b3\", \"asset2\": ...}). None kwargs optional Options to forward to the self.reader.statistics method. None Returns: Type Description dict Multiple assets statistics in form of {\"asset1\": {\"1\": rio_tiler.models.BandStatistics, ...}}. tile \u00b6 def tile ( self , tile_x : int , tile_y : int , tile_z : int , assets : Union [ Sequence [ str ], str ] = None , expression : Union [ str , NoneType ] = None , asset_indexes : Union [ Dict [ str , Union [ Sequence [ int ], int ]], NoneType ] = None , asset_as_band : bool = False , ** kwargs : Any ) -> rio_tiler . models . ImageData Read and merge Wep Map tiles from multiple assets. Parameters: Name Type Description Default tile_x int Tile's horizontal index. None tile_y int Tile's vertical index. None tile_z int Tile's zoom level index. None assets sequence of str or str assets to fetch info from. None expression str rio-tiler expression for the asset list (e.g. asset1/asset2+asset3). None asset_indexes dict Band indexes for each asset (e.g {\"asset1\": 1, \"asset2\": (1, 2,)}). None kwargs optional Options to forward to the self.reader.tile method. None Returns: Type Description rio_tiler.models.ImageData ImageData instance with data, mask and tile spatial info. tile_exists \u00b6 def tile_exists ( self , tile_x : int , tile_y : int , tile_z : int ) -> bool Check if a tile intersects the dataset bounds. Parameters: Name Type Description Default tile_x int Tile's horizontal index. None tile_y int Tile's vertical index. None tile_z int Tile's zoom level index. None Returns: Type Description bool True if the tile intersects the dataset bounds.","title":"reader"},{"location":"api/titiler/pgstac/reader/#module-titilerpgstacreader","text":"Custom STAC reader.","title":"Module titiler.pgstac.reader"},{"location":"api/titiler/pgstac/reader/#variables","text":"DEFAULT_VALID_TYPE WGS84_CRS","title":"Variables"},{"location":"api/titiler/pgstac/reader/#classes","text":"","title":"Classes"},{"location":"api/titiler/pgstac/reader/#pgstacreader","text":"class PgSTACReader ( input : pystac . item . Item , tms : morecantile . models . TileMatrixSet = < TileMatrixSet title = 'Google Maps Compatible for the World' id = 'WebMercatorQuad' crs = 'http://www.opengis.net/def/crs/EPSG/0/3857>, minzoom : int = NOTHING , maxzoom : int = NOTHING , geographic_crs : rasterio . crs . CRS = CRS . from_epsg ( 4326 ), include_assets : Union [ Set [ str ], NoneType ] = None , exclude_assets : Union [ Set [ str ], NoneType ] = None , include_asset_types : Set [ str ] = { 'image/tiff; profile=cloud-optimized; application=geotiff' , 'application/x-hdf5' , 'image/x.geotiff' , 'image/vnd.stac.geotiff; cloud-optimized=true' , 'image/tiff; application=geotiff; profile=cloud-optimized' , 'image/jp2' , 'application/x-hdf' , 'image/tiff' , 'image/tiff; application=geotiff' }, exclude_asset_types : Union [ Set [ str ], NoneType ] = None , reader : Type [ rio_tiler . io . base . BaseReader ] = < class ' rio_tiler . io . rasterio . Reader '>, reader_options : Dict = NOTHING , ctx : Any = < class ' rasterio . env . Env '> ) Custom STAC Reader. Only accept pystac.Item as input (while rio_tiler.io.STACReader accepts url or pystac.Item)","title":"PgSTACReader"},{"location":"api/titiler/pgstac/reader/#ancestors-in-mro","text":"rio_tiler.io.base.MultiBaseReader rio_tiler.io.base.SpatialMixin","title":"Ancestors (in MRO)"},{"location":"api/titiler/pgstac/reader/#instance-variables","text":"geographic_bounds Return dataset bounds in geographic_crs.","title":"Instance variables"},{"location":"api/titiler/pgstac/reader/#methods","text":"","title":"Methods"},{"location":"api/titiler/pgstac/reader/#feature","text":"def feature ( self , shape : Dict , assets : Union [ Sequence [ str ], str ] = None , expression : Union [ str , NoneType ] = None , asset_indexes : Union [ Dict [ str , Union [ Sequence [ int ], int ]], NoneType ] = None , asset_as_band : bool = False , ** kwargs : Any ) -> rio_tiler . models . ImageData Read and merge parts defined by geojson feature from multiple assets. Parameters: Name Type Description Default shape dict Valid GeoJSON feature. None assets sequence of str or str assets to fetch info from. None expression str rio-tiler expression for the asset list (e.g. asset1/asset2+asset3). None asset_indexes dict Band indexes for each asset (e.g {\"asset1\": 1, \"asset2\": (1, 2,)}). None kwargs optional Options to forward to the self.reader.feature method. None Returns: Type Description rio_tiler.models.ImageData ImageData instance with data, mask and tile spatial info.","title":"feature"},{"location":"api/titiler/pgstac/reader/#info","text":"def info ( self , assets : Union [ Sequence [ str ], str ] = None , ** kwargs : Any ) -> Dict [ str , rio_tiler . models . Info ] Return metadata from multiple assets. Parameters: Name Type Description Default assets sequence of str or str assets to fetch info from. Required keyword argument. None Returns: Type Description dict Multiple assets info in form of {\"asset1\": rio_tile.models.Info}.","title":"info"},{"location":"api/titiler/pgstac/reader/#merged_statistics","text":"def merged_statistics ( self , assets : Union [ Sequence [ str ], str ] = None , expression : Union [ str , NoneType ] = None , asset_indexes : Union [ Dict [ str , Union [ Sequence [ int ], int ]], NoneType ] = None , categorical : bool = False , categories : Union [ List [ float ], NoneType ] = None , percentiles : Union [ List [ int ], NoneType ] = None , hist_options : Union [ Dict , NoneType ] = None , max_size : int = 1024 , ** kwargs : Any ) -> Dict [ str , rio_tiler . models . BandStatistics ] Return array statistics for multiple assets. Parameters: Name Type Description Default assets sequence of str or str assets to fetch info from. None expression str rio-tiler expression for the asset list (e.g. asset1/asset2+asset3). None asset_indexes dict Band indexes for each asset (e.g {\"asset1\": 1, \"asset2\": (1, 2,)}). None categorical bool treat input data as categorical data. Defaults to False. False categories list of numbers list of categories to return value for. None percentiles list of numbers list of percentile values to calculate. Defaults to [2, 98] . [2, 98] hist_options dict Options to forward to numpy.histogram function. None max_size int Limit the size of the longest dimension of the dataset read, respecting bounds X/Y aspect ratio. Defaults to 1024. 1024 kwargs optional Options to forward to the self.preview method. None Returns: Type Description Dict[str, rio_tiler.models.BandStatistics] bands statistics.","title":"merged_statistics"},{"location":"api/titiler/pgstac/reader/#parse_expression","text":"def parse_expression ( self , expression : str , asset_as_band : bool = False ) -> Tuple Parse rio-tiler band math expression.","title":"parse_expression"},{"location":"api/titiler/pgstac/reader/#part","text":"def part ( self , bbox : Tuple [ float , float , float , float ], assets : Union [ Sequence [ str ], str ] = None , expression : Union [ str , NoneType ] = None , asset_indexes : Union [ Dict [ str , Union [ Sequence [ int ], int ]], NoneType ] = None , asset_as_band : bool = False , ** kwargs : Any ) -> rio_tiler . models . ImageData Read and merge parts from multiple assets. Parameters: Name Type Description Default bbox tuple Output bounds (left, bottom, right, top) in target crs. None assets sequence of str or str assets to fetch info from. None expression str rio-tiler expression for the asset list (e.g. asset1/asset2+asset3). None asset_indexes dict Band indexes for each asset (e.g {\"asset1\": 1, \"asset2\": (1, 2,)}). None kwargs optional Options to forward to the self.reader.part method. None Returns: Type Description rio_tiler.models.ImageData ImageData instance with data, mask and tile spatial info.","title":"part"},{"location":"api/titiler/pgstac/reader/#point","text":"def point ( self , lon : float , lat : float , assets : Union [ Sequence [ str ], str ] = None , expression : Union [ str , NoneType ] = None , asset_indexes : Union [ Dict [ str , Union [ Sequence [ int ], int ]], NoneType ] = None , asset_as_band : bool = False , ** kwargs : Any ) -> rio_tiler . models . PointData Read pixel value from multiple assets. Parameters: Name Type Description Default lon float Longitude. None lat float Latitude. None assets sequence of str or str assets to fetch info from. None expression str rio-tiler expression for the asset list (e.g. asset1/asset2+asset3). None asset_indexes dict Band indexes for each asset (e.g {\"asset1\": 1, \"asset2\": (1, 2,)}). None kwargs optional Options to forward to the self.reader.point method. None Returns: Type Description None PointData","title":"point"},{"location":"api/titiler/pgstac/reader/#preview","text":"def preview ( self , assets : Union [ Sequence [ str ], str ] = None , expression : Union [ str , NoneType ] = None , asset_indexes : Union [ Dict [ str , Union [ Sequence [ int ], int ]], NoneType ] = None , asset_as_band : bool = False , ** kwargs : Any ) -> rio_tiler . models . ImageData Read and merge previews from multiple assets. Parameters: Name Type Description Default assets sequence of str or str assets to fetch info from. None expression str rio-tiler expression for the asset list (e.g. asset1/asset2+asset3). None asset_indexes dict Band indexes for each asset (e.g {\"asset1\": 1, \"asset2\": (1, 2,)}). None kwargs optional Options to forward to the self.reader.preview method. None Returns: Type Description rio_tiler.models.ImageData ImageData instance with data, mask and tile spatial info.","title":"preview"},{"location":"api/titiler/pgstac/reader/#statistics","text":"def statistics ( self , assets : Union [ Sequence [ str ], str ] = None , asset_indexes : Union [ Dict [ str , Union [ Sequence [ int ], int ]], NoneType ] = None , asset_expression : Union [ Dict [ str , str ], NoneType ] = None , ** kwargs : Any ) -> Dict [ str , Dict [ str , rio_tiler . models . BandStatistics ]] Return array statistics for multiple assets. Parameters: Name Type Description Default assets sequence of str or str assets to fetch info from. None asset_indexes dict Band indexes for each asset (e.g {\"asset1\": 1, \"asset2\": (1, 2,)}). None asset_expression dict rio-tiler expression for each asset (e.g. {\"asset1\": \"b1/b2+b3\", \"asset2\": ...}). None kwargs optional Options to forward to the self.reader.statistics method. None Returns: Type Description dict Multiple assets statistics in form of {\"asset1\": {\"1\": rio_tiler.models.BandStatistics, ...}}.","title":"statistics"},{"location":"api/titiler/pgstac/reader/#tile","text":"def tile ( self , tile_x : int , tile_y : int , tile_z : int , assets : Union [ Sequence [ str ], str ] = None , expression : Union [ str , NoneType ] = None , asset_indexes : Union [ Dict [ str , Union [ Sequence [ int ], int ]], NoneType ] = None , asset_as_band : bool = False , ** kwargs : Any ) -> rio_tiler . models . ImageData Read and merge Wep Map tiles from multiple assets. Parameters: Name Type Description Default tile_x int Tile's horizontal index. None tile_y int Tile's vertical index. None tile_z int Tile's zoom level index. None assets sequence of str or str assets to fetch info from. None expression str rio-tiler expression for the asset list (e.g. asset1/asset2+asset3). None asset_indexes dict Band indexes for each asset (e.g {\"asset1\": 1, \"asset2\": (1, 2,)}). None kwargs optional Options to forward to the self.reader.tile method. None Returns: Type Description rio_tiler.models.ImageData ImageData instance with data, mask and tile spatial info.","title":"tile"},{"location":"api/titiler/pgstac/reader/#tile_exists","text":"def tile_exists ( self , tile_x : int , tile_y : int , tile_z : int ) -> bool Check if a tile intersects the dataset bounds. Parameters: Name Type Description Default tile_x int Tile's horizontal index. None tile_y int Tile's vertical index. None tile_z int Tile's zoom level index. None Returns: Type Description bool True if the tile intersects the dataset bounds.","title":"tile_exists"},{"location":"api/titiler/pgstac/settings/","text":"Module titiler.pgstac.settings \u00b6 API settings. Functions \u00b6 RetrySettings \u00b6 def RetrySettings ( ) -> titiler . pgstac . settings . _RetrySettings This function returns a cached instance of the RetrySettings object. Classes \u00b6 ApiSettings \u00b6 class ApiSettings ( __pydantic_self__ , _case_sensitive : 'bool | None' = None , _env_prefix : 'str | None' = None , _env_file : 'DotenvType | None' = PosixPath ( '.' ), _env_file_encoding : 'str | None' = None , _env_nested_delimiter : 'str | None' = None , _secrets_dir : 'str | Path | None' = None , ** values : 'Any' ) API settings Ancestors (in MRO) \u00b6 pydantic_settings.main.BaseSettings pydantic.main.BaseModel Class variables \u00b6 model_config model_fields Static methods \u00b6 construct \u00b6 def construct ( _fields_set : 'set[str] | None' = None , ** values : 'Any' ) -> 'Model' from_orm \u00b6 def from_orm ( obj : 'Any' ) -> 'Model' model_construct \u00b6 def model_construct ( _fields_set : 'set[str] | None' = None , ** values : 'Any' ) -> 'Model' Creates a new instance of the Model class with validated data. Creates a new model setting __dict__ and __pydantic_fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed. Behaves as if Config.extra = 'allow' was set since it adds all passed values Parameters: Name Type Description Default _fields_set None The set of field names accepted for the Model instance. None values None Trusted or pre-validated data dictionary. None Returns: Type Description None A new instance of the Model class with validated data. model_json_schema \u00b6 def model_json_schema ( by_alias : 'bool' = True , ref_template : 'str' = '#/$defs/ {model} ' , schema_generator : 'type[GenerateJsonSchema]' = < class ' pydantic . json_schema . GenerateJsonSchema '>, mode : 'JsonSchemaMode' = 'validation' ) -> 'dict[str, Any]' Generates a JSON schema for a model class. Parameters: Name Type Description Default by_alias None Whether to use attribute aliases or not. None ref_template None The reference template. None schema_generator None To override the logic used to generate the JSON schema, as a subclass of GenerateJsonSchema with your desired modifications None mode None The mode in which to generate the schema. None Returns: Type Description None The JSON schema for the given model class. model_parametrized_name \u00b6 def model_parametrized_name ( params : 'tuple[type[Any], ...]' ) -> 'str' Compute the class name for parametrizations of generic classes. This method can be overridden to achieve a custom naming scheme for generic BaseModels. Parameters: Name Type Description Default params None Tuple of types of the class. Given a generic class Model with 2 type variables and a concrete model Model[str, int] , the value (str, int) would be passed to params . None Returns: Type Description None String representing the new class where params are passed to cls as type variables. Raises: Type Description TypeError Raised when trying to generate concrete names for non-generic models. model_rebuild \u00b6 def model_rebuild ( * , force : 'bool' = False , raise_errors : 'bool' = True , _parent_namespace_depth : 'int' = 2 , _types_namespace : 'dict[str, Any] | None' = None ) -> 'bool | None' Try to rebuild the pydantic-core schema for the model. This may be necessary when one of the annotations is a ForwardRef which could not be resolved during the initial attempt to build the schema, and automatic rebuilding fails. Parameters: Name Type Description Default force None Whether to force the rebuilding of the model schema, defaults to False . None raise_errors None Whether to raise errors, defaults to True . None _parent_namespace_depth None The depth level of the parent namespace, defaults to 2. None _types_namespace None The types namespace, defaults to None . None Returns: Type Description None Returns None if the schema is already \"complete\" and rebuilding was not required. If rebuilding was required, returns True if rebuilding was successful, otherwise False . model_validate \u00b6 def model_validate ( obj : 'Any' , * , strict : 'bool | None' = None , from_attributes : 'bool | None' = None , context : 'dict[str, Any] | None' = None ) -> 'Model' Validate a pydantic model instance. Parameters: Name Type Description Default obj None The object to validate. None strict None Whether to raise an exception on invalid fields. None from_attributes None Whether to extract data from object attributes. None context None Additional context to pass to the validator. None Returns: Type Description None The validated model instance. Raises: Type Description ValidationError If the object could not be validated. model_validate_json \u00b6 def model_validate_json ( json_data : 'str | bytes | bytearray' , * , strict : 'bool | None' = None , context : 'dict[str, Any] | None' = None ) -> 'Model' Usage docs: docs.pydantic.dev/2.5/concepts/json/#json-parsing Validate the given JSON data against the Pydantic model. Parameters: Name Type Description Default json_data None The JSON data to validate. None strict None Whether to enforce types strictly. None context None Extra variables to pass to the validator. None Returns: Type Description None The validated Pydantic model. Raises: Type Description ValueError If json_data is not a JSON string. model_validate_strings \u00b6 def model_validate_strings ( obj : 'Any' , * , strict : 'bool | None' = None , context : 'dict[str, Any] | None' = None ) -> 'Model' Validate the given object contains string data against the Pydantic model. Parameters: Name Type Description Default obj None The object contains string data to validate. None strict None Whether to enforce types strictly. None context None Extra variables to pass to the validator. None Returns: Type Description None The validated Pydantic model. parse_cors_origin \u00b6 def parse_cors_origin ( v ) Parse CORS origins. parse_file \u00b6 def parse_file ( path : 'str | Path' , * , content_type : 'str | None' = None , encoding : 'str' = 'utf8' , proto : 'DeprecatedParseProtocol | None' = None , allow_pickle : 'bool' = False ) -> 'Model' parse_obj \u00b6 def parse_obj ( obj : 'Any' ) -> 'Model' parse_raw \u00b6 def parse_raw ( b : 'str | bytes' , * , content_type : 'str | None' = None , encoding : 'str' = 'utf8' , proto : 'DeprecatedParseProtocol | None' = None , allow_pickle : 'bool' = False ) -> 'Model' schema \u00b6 def schema ( by_alias : 'bool' = True , ref_template : 'str' = '#/$defs/ {model} ' ) -> 'typing.Dict[str, Any]' schema_json \u00b6 def schema_json ( * , by_alias : 'bool' = True , ref_template : 'str' = '#/$defs/ {model} ' , ** dumps_kwargs : 'Any' ) -> 'str' settings_customise_sources \u00b6 def settings_customise_sources ( settings_cls : 'type[BaseSettings]' , init_settings : 'PydanticBaseSettingsSource' , env_settings : 'PydanticBaseSettingsSource' , dotenv_settings : 'PydanticBaseSettingsSource' , file_secret_settings : 'PydanticBaseSettingsSource' ) -> 'tuple[PydanticBaseSettingsSource, ...]' Define the sources and their order for loading the settings values. Parameters: Name Type Description Default settings_cls None The Settings class. None init_settings None The InitSettingsSource instance. None env_settings None The EnvSettingsSource instance. None dotenv_settings None The DotEnvSettingsSource instance. None file_secret_settings None The SecretsSettingsSource instance. None Returns: Type Description None A tuple containing the sources and their order for loading the settings values. update_forward_refs \u00b6 def update_forward_refs ( ** localns : 'Any' ) -> 'None' validate \u00b6 def validate ( value : 'Any' ) -> 'Model' Instance variables \u00b6 model_computed_fields Get the computed fields of this model instance. model_extra Get extra fields set during validation. model_fields_set Returns the set of fields that have been explicitly set on this model instance. Methods \u00b6 copy \u00b6 def copy ( self : 'Model' , * , include : 'AbstractSetIntStr | MappingIntStrAny | None' = None , exclude : 'AbstractSetIntStr | MappingIntStrAny | None' = None , update : 'typing.Dict[str, Any] | None' = None , deep : 'bool' = False ) -> 'Model' Returns a copy of the model. Deprecated This method is now deprecated; use model_copy instead. If you need include or exclude , use: data = self . model_dump ( include = include , exclude = exclude , round_trip = True ) data = { ** data , ** ( update or {})} copied = self . model_validate ( data ) Parameters: Name Type Description Default include None Optional set or mapping specifying which fields to include in the copied model. None exclude None Optional set or mapping specifying which fields to exclude in the copied model. None update None Optional dictionary of field-value pairs to override field values in the copied model. None deep None If True, the values of fields that are Pydantic models will be deep copied. None Returns: Type Description None A copy of the model with included, excluded and updated fields as specified. dict \u00b6 def dict ( self , * , include : 'IncEx' = None , exclude : 'IncEx' = None , by_alias : 'bool' = False , exclude_unset : 'bool' = False , exclude_defaults : 'bool' = False , exclude_none : 'bool' = False ) -> 'typing.Dict[str, Any]' json \u00b6 def json ( self , * , include : 'IncEx' = None , exclude : 'IncEx' = None , by_alias : 'bool' = False , exclude_unset : 'bool' = False , exclude_defaults : 'bool' = False , exclude_none : 'bool' = False , encoder : 'typing.Callable[[Any], Any] | None' = PydanticUndefined , models_as_dict : 'bool' = PydanticUndefined , ** dumps_kwargs : 'Any' ) -> 'str' model_copy \u00b6 def model_copy ( self : 'Model' , * , update : 'dict[str, Any] | None' = None , deep : 'bool' = False ) -> 'Model' Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#model_copy Returns a copy of the model. Parameters: Name Type Description Default update None Values to change/add in the new model. Note: the data is not validated before creating the new model. You should trust this data. None deep None Set to True to make a deep copy of the model. None Returns: Type Description None New model instance. model_dump \u00b6 def model_dump ( self , * , mode : \"Literal[('json', 'python')] | str\" = 'python' , include : 'IncEx' = None , exclude : 'IncEx' = None , by_alias : 'bool' = False , exclude_unset : 'bool' = False , exclude_defaults : 'bool' = False , exclude_none : 'bool' = False , round_trip : 'bool' = False , warnings : 'bool' = True ) -> 'dict[str, Any]' Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#modelmodel_dump Generate a dictionary representation of the model, optionally specifying which fields to include or exclude. Parameters: Name Type Description Default mode None The mode in which to_python should run. If mode is 'json', the dictionary will only contain JSON serializable types. If mode is 'python', the dictionary may contain any Python objects. None include None A list of fields to include in the output. None exclude None A list of fields to exclude from the output. None by_alias None Whether to use the field's alias in the dictionary key if defined. None exclude_unset None Whether to exclude fields that have not been explicitly set. None exclude_defaults None Whether to exclude fields that are set to their default value from the output. None exclude_none None Whether to exclude fields that have a value of None from the output. None round_trip None Whether to enable serialization and deserialization round-trip support. None warnings None Whether to log warnings when invalid fields are encountered. None Returns: Type Description None A dictionary representation of the model. model_dump_json \u00b6 def model_dump_json ( self , * , indent : 'int | None' = None , include : 'IncEx' = None , exclude : 'IncEx' = None , by_alias : 'bool' = False , exclude_unset : 'bool' = False , exclude_defaults : 'bool' = False , exclude_none : 'bool' = False , round_trip : 'bool' = False , warnings : 'bool' = True ) -> 'str' Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#modelmodel_dump_json Generates a JSON representation of the model using Pydantic's to_json method. Parameters: Name Type Description Default indent None Indentation to use in the JSON output. If None is passed, the output will be compact. None include None Field(s) to include in the JSON output. Can take either a string or set of strings. None exclude None Field(s) to exclude from the JSON output. Can take either a string or set of strings. None by_alias None Whether to serialize using field aliases. None exclude_unset None Whether to exclude fields that have not been explicitly set. None exclude_defaults None Whether to exclude fields that have the default value. None exclude_none None Whether to exclude fields that have a value of None . None round_trip None Whether to use serialization/deserialization between JSON and class instance. None warnings None Whether to show any warnings that occurred during serialization. None Returns: Type Description None A JSON string representation of the model. model_post_init \u00b6 def model_post_init ( self , _BaseModel__context : 'Any' ) -> 'None' Override this method to perform additional initialization after __init__ and model_construct . This is useful if you want to do some validation that requires the entire model to be initialized. CacheSettings \u00b6 class CacheSettings ( __pydantic_self__ , _case_sensitive : 'bool | None' = None , _env_prefix : 'str | None' = None , _env_file : 'DotenvType | None' = PosixPath ( '.' ), _env_file_encoding : 'str | None' = None , _env_nested_delimiter : 'str | None' = None , _secrets_dir : 'str | Path | None' = None , ** values : 'Any' ) Cache settings Ancestors (in MRO) \u00b6 pydantic_settings.main.BaseSettings pydantic.main.BaseModel Class variables \u00b6 model_config model_fields Static methods \u00b6 construct \u00b6 def construct ( _fields_set : 'set[str] | None' = None , ** values : 'Any' ) -> 'Model' from_orm \u00b6 def from_orm ( obj : 'Any' ) -> 'Model' model_construct \u00b6 def model_construct ( _fields_set : 'set[str] | None' = None , ** values : 'Any' ) -> 'Model' Creates a new instance of the Model class with validated data. Creates a new model setting __dict__ and __pydantic_fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed. Behaves as if Config.extra = 'allow' was set since it adds all passed values Parameters: Name Type Description Default _fields_set None The set of field names accepted for the Model instance. None values None Trusted or pre-validated data dictionary. None Returns: Type Description None A new instance of the Model class with validated data. model_json_schema \u00b6 def model_json_schema ( by_alias : 'bool' = True , ref_template : 'str' = '#/$defs/ {model} ' , schema_generator : 'type[GenerateJsonSchema]' = < class ' pydantic . json_schema . GenerateJsonSchema '>, mode : 'JsonSchemaMode' = 'validation' ) -> 'dict[str, Any]' Generates a JSON schema for a model class. Parameters: Name Type Description Default by_alias None Whether to use attribute aliases or not. None ref_template None The reference template. None schema_generator None To override the logic used to generate the JSON schema, as a subclass of GenerateJsonSchema with your desired modifications None mode None The mode in which to generate the schema. None Returns: Type Description None The JSON schema for the given model class. model_parametrized_name \u00b6 def model_parametrized_name ( params : 'tuple[type[Any], ...]' ) -> 'str' Compute the class name for parametrizations of generic classes. This method can be overridden to achieve a custom naming scheme for generic BaseModels. Parameters: Name Type Description Default params None Tuple of types of the class. Given a generic class Model with 2 type variables and a concrete model Model[str, int] , the value (str, int) would be passed to params . None Returns: Type Description None String representing the new class where params are passed to cls as type variables. Raises: Type Description TypeError Raised when trying to generate concrete names for non-generic models. model_rebuild \u00b6 def model_rebuild ( * , force : 'bool' = False , raise_errors : 'bool' = True , _parent_namespace_depth : 'int' = 2 , _types_namespace : 'dict[str, Any] | None' = None ) -> 'bool | None' Try to rebuild the pydantic-core schema for the model. This may be necessary when one of the annotations is a ForwardRef which could not be resolved during the initial attempt to build the schema, and automatic rebuilding fails. Parameters: Name Type Description Default force None Whether to force the rebuilding of the model schema, defaults to False . None raise_errors None Whether to raise errors, defaults to True . None _parent_namespace_depth None The depth level of the parent namespace, defaults to 2. None _types_namespace None The types namespace, defaults to None . None Returns: Type Description None Returns None if the schema is already \"complete\" and rebuilding was not required. If rebuilding was required, returns True if rebuilding was successful, otherwise False . model_validate \u00b6 def model_validate ( obj : 'Any' , * , strict : 'bool | None' = None , from_attributes : 'bool | None' = None , context : 'dict[str, Any] | None' = None ) -> 'Model' Validate a pydantic model instance. Parameters: Name Type Description Default obj None The object to validate. None strict None Whether to raise an exception on invalid fields. None from_attributes None Whether to extract data from object attributes. None context None Additional context to pass to the validator. None Returns: Type Description None The validated model instance. Raises: Type Description ValidationError If the object could not be validated. model_validate_json \u00b6 def model_validate_json ( json_data : 'str | bytes | bytearray' , * , strict : 'bool | None' = None , context : 'dict[str, Any] | None' = None ) -> 'Model' Usage docs: docs.pydantic.dev/2.5/concepts/json/#json-parsing Validate the given JSON data against the Pydantic model. Parameters: Name Type Description Default json_data None The JSON data to validate. None strict None Whether to enforce types strictly. None context None Extra variables to pass to the validator. None Returns: Type Description None The validated Pydantic model. Raises: Type Description ValueError If json_data is not a JSON string. model_validate_strings \u00b6 def model_validate_strings ( obj : 'Any' , * , strict : 'bool | None' = None , context : 'dict[str, Any] | None' = None ) -> 'Model' Validate the given object contains string data against the Pydantic model. Parameters: Name Type Description Default obj None The object contains string data to validate. None strict None Whether to enforce types strictly. None context None Extra variables to pass to the validator. None Returns: Type Description None The validated Pydantic model. parse_file \u00b6 def parse_file ( path : 'str | Path' , * , content_type : 'str | None' = None , encoding : 'str' = 'utf8' , proto : 'DeprecatedParseProtocol | None' = None , allow_pickle : 'bool' = False ) -> 'Model' parse_obj \u00b6 def parse_obj ( obj : 'Any' ) -> 'Model' parse_raw \u00b6 def parse_raw ( b : 'str | bytes' , * , content_type : 'str | None' = None , encoding : 'str' = 'utf8' , proto : 'DeprecatedParseProtocol | None' = None , allow_pickle : 'bool' = False ) -> 'Model' schema \u00b6 def schema ( by_alias : 'bool' = True , ref_template : 'str' = '#/$defs/ {model} ' ) -> 'typing.Dict[str, Any]' schema_json \u00b6 def schema_json ( * , by_alias : 'bool' = True , ref_template : 'str' = '#/$defs/ {model} ' , ** dumps_kwargs : 'Any' ) -> 'str' settings_customise_sources \u00b6 def settings_customise_sources ( settings_cls : 'type[BaseSettings]' , init_settings : 'PydanticBaseSettingsSource' , env_settings : 'PydanticBaseSettingsSource' , dotenv_settings : 'PydanticBaseSettingsSource' , file_secret_settings : 'PydanticBaseSettingsSource' ) -> 'tuple[PydanticBaseSettingsSource, ...]' Define the sources and their order for loading the settings values. Parameters: Name Type Description Default settings_cls None The Settings class. None init_settings None The InitSettingsSource instance. None env_settings None The EnvSettingsSource instance. None dotenv_settings None The DotEnvSettingsSource instance. None file_secret_settings None The SecretsSettingsSource instance. None Returns: Type Description None A tuple containing the sources and their order for loading the settings values. update_forward_refs \u00b6 def update_forward_refs ( ** localns : 'Any' ) -> 'None' validate \u00b6 def validate ( value : 'Any' ) -> 'Model' Instance variables \u00b6 model_computed_fields Get the computed fields of this model instance. model_extra Get extra fields set during validation. model_fields_set Returns the set of fields that have been explicitly set on this model instance. Methods \u00b6 check_enable \u00b6 def check_enable ( self ) Check if cache is disabled. copy \u00b6 def copy ( self : 'Model' , * , include : 'AbstractSetIntStr | MappingIntStrAny | None' = None , exclude : 'AbstractSetIntStr | MappingIntStrAny | None' = None , update : 'typing.Dict[str, Any] | None' = None , deep : 'bool' = False ) -> 'Model' Returns a copy of the model. Deprecated This method is now deprecated; use model_copy instead. If you need include or exclude , use: data = self . model_dump ( include = include , exclude = exclude , round_trip = True ) data = { ** data , ** ( update or {})} copied = self . model_validate ( data ) Parameters: Name Type Description Default include None Optional set or mapping specifying which fields to include in the copied model. None exclude None Optional set or mapping specifying which fields to exclude in the copied model. None update None Optional dictionary of field-value pairs to override field values in the copied model. None deep None If True, the values of fields that are Pydantic models will be deep copied. None Returns: Type Description None A copy of the model with included, excluded and updated fields as specified. dict \u00b6 def dict ( self , * , include : 'IncEx' = None , exclude : 'IncEx' = None , by_alias : 'bool' = False , exclude_unset : 'bool' = False , exclude_defaults : 'bool' = False , exclude_none : 'bool' = False ) -> 'typing.Dict[str, Any]' json \u00b6 def json ( self , * , include : 'IncEx' = None , exclude : 'IncEx' = None , by_alias : 'bool' = False , exclude_unset : 'bool' = False , exclude_defaults : 'bool' = False , exclude_none : 'bool' = False , encoder : 'typing.Callable[[Any], Any] | None' = PydanticUndefined , models_as_dict : 'bool' = PydanticUndefined , ** dumps_kwargs : 'Any' ) -> 'str' model_copy \u00b6 def model_copy ( self : 'Model' , * , update : 'dict[str, Any] | None' = None , deep : 'bool' = False ) -> 'Model' Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#model_copy Returns a copy of the model. Parameters: Name Type Description Default update None Values to change/add in the new model. Note: the data is not validated before creating the new model. You should trust this data. None deep None Set to True to make a deep copy of the model. None Returns: Type Description None New model instance. model_dump \u00b6 def model_dump ( self , * , mode : \"Literal[('json', 'python')] | str\" = 'python' , include : 'IncEx' = None , exclude : 'IncEx' = None , by_alias : 'bool' = False , exclude_unset : 'bool' = False , exclude_defaults : 'bool' = False , exclude_none : 'bool' = False , round_trip : 'bool' = False , warnings : 'bool' = True ) -> 'dict[str, Any]' Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#modelmodel_dump Generate a dictionary representation of the model, optionally specifying which fields to include or exclude. Parameters: Name Type Description Default mode None The mode in which to_python should run. If mode is 'json', the dictionary will only contain JSON serializable types. If mode is 'python', the dictionary may contain any Python objects. None include None A list of fields to include in the output. None exclude None A list of fields to exclude from the output. None by_alias None Whether to use the field's alias in the dictionary key if defined. None exclude_unset None Whether to exclude fields that have not been explicitly set. None exclude_defaults None Whether to exclude fields that are set to their default value from the output. None exclude_none None Whether to exclude fields that have a value of None from the output. None round_trip None Whether to enable serialization and deserialization round-trip support. None warnings None Whether to log warnings when invalid fields are encountered. None Returns: Type Description None A dictionary representation of the model. model_dump_json \u00b6 def model_dump_json ( self , * , indent : 'int | None' = None , include : 'IncEx' = None , exclude : 'IncEx' = None , by_alias : 'bool' = False , exclude_unset : 'bool' = False , exclude_defaults : 'bool' = False , exclude_none : 'bool' = False , round_trip : 'bool' = False , warnings : 'bool' = True ) -> 'str' Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#modelmodel_dump_json Generates a JSON representation of the model using Pydantic's to_json method. Parameters: Name Type Description Default indent None Indentation to use in the JSON output. If None is passed, the output will be compact. None include None Field(s) to include in the JSON output. Can take either a string or set of strings. None exclude None Field(s) to exclude from the JSON output. Can take either a string or set of strings. None by_alias None Whether to serialize using field aliases. None exclude_unset None Whether to exclude fields that have not been explicitly set. None exclude_defaults None Whether to exclude fields that have the default value. None exclude_none None Whether to exclude fields that have a value of None . None round_trip None Whether to use serialization/deserialization between JSON and class instance. None warnings None Whether to show any warnings that occurred during serialization. None Returns: Type Description None A JSON string representation of the model. model_post_init \u00b6 def model_post_init ( self , _BaseModel__context : 'Any' ) -> 'None' Override this method to perform additional initialization after __init__ and model_construct . This is useful if you want to do some validation that requires the entire model to be initialized. PostgresSettings \u00b6 class PostgresSettings ( __pydantic_self__ , _case_sensitive : 'bool | None' = None , _env_prefix : 'str | None' = None , _env_file : 'DotenvType | None' = PosixPath ( '.' ), _env_file_encoding : 'str | None' = None , _env_nested_delimiter : 'str | None' = None , _secrets_dir : 'str | Path | None' = None , ** values : 'Any' ) Postgres-specific API settings. Attributes \u00b6 Name Type Description Default postgres_user None postgres username. None postgres_pass None postgres password. None postgres_host None database hostname. None postgres_port None database port. None postgres_dbname None database name. None Ancestors (in MRO) \u00b6 pydantic_settings.main.BaseSettings pydantic.main.BaseModel Class variables \u00b6 model_config model_fields Static methods \u00b6 assemble_db_connection \u00b6 def assemble_db_connection ( v : Union [ str , NoneType ], info : pydantic_core . core_schema . ValidationInfo ) -> Any Validate database config. construct \u00b6 def construct ( _fields_set : 'set[str] | None' = None , ** values : 'Any' ) -> 'Model' from_orm \u00b6 def from_orm ( obj : 'Any' ) -> 'Model' model_construct \u00b6 def model_construct ( _fields_set : 'set[str] | None' = None , ** values : 'Any' ) -> 'Model' Creates a new instance of the Model class with validated data. Creates a new model setting __dict__ and __pydantic_fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed. Behaves as if Config.extra = 'allow' was set since it adds all passed values Parameters: Name Type Description Default _fields_set None The set of field names accepted for the Model instance. None values None Trusted or pre-validated data dictionary. None Returns: Type Description None A new instance of the Model class with validated data. model_json_schema \u00b6 def model_json_schema ( by_alias : 'bool' = True , ref_template : 'str' = '#/$defs/ {model} ' , schema_generator : 'type[GenerateJsonSchema]' = < class ' pydantic . json_schema . GenerateJsonSchema '>, mode : 'JsonSchemaMode' = 'validation' ) -> 'dict[str, Any]' Generates a JSON schema for a model class. Parameters: Name Type Description Default by_alias None Whether to use attribute aliases or not. None ref_template None The reference template. None schema_generator None To override the logic used to generate the JSON schema, as a subclass of GenerateJsonSchema with your desired modifications None mode None The mode in which to generate the schema. None Returns: Type Description None The JSON schema for the given model class. model_parametrized_name \u00b6 def model_parametrized_name ( params : 'tuple[type[Any], ...]' ) -> 'str' Compute the class name for parametrizations of generic classes. This method can be overridden to achieve a custom naming scheme for generic BaseModels. Parameters: Name Type Description Default params None Tuple of types of the class. Given a generic class Model with 2 type variables and a concrete model Model[str, int] , the value (str, int) would be passed to params . None Returns: Type Description None String representing the new class where params are passed to cls as type variables. Raises: Type Description TypeError Raised when trying to generate concrete names for non-generic models. model_rebuild \u00b6 def model_rebuild ( * , force : 'bool' = False , raise_errors : 'bool' = True , _parent_namespace_depth : 'int' = 2 , _types_namespace : 'dict[str, Any] | None' = None ) -> 'bool | None' Try to rebuild the pydantic-core schema for the model. This may be necessary when one of the annotations is a ForwardRef which could not be resolved during the initial attempt to build the schema, and automatic rebuilding fails. Parameters: Name Type Description Default force None Whether to force the rebuilding of the model schema, defaults to False . None raise_errors None Whether to raise errors, defaults to True . None _parent_namespace_depth None The depth level of the parent namespace, defaults to 2. None _types_namespace None The types namespace, defaults to None . None Returns: Type Description None Returns None if the schema is already \"complete\" and rebuilding was not required. If rebuilding was required, returns True if rebuilding was successful, otherwise False . model_validate \u00b6 def model_validate ( obj : 'Any' , * , strict : 'bool | None' = None , from_attributes : 'bool | None' = None , context : 'dict[str, Any] | None' = None ) -> 'Model' Validate a pydantic model instance. Parameters: Name Type Description Default obj None The object to validate. None strict None Whether to raise an exception on invalid fields. None from_attributes None Whether to extract data from object attributes. None context None Additional context to pass to the validator. None Returns: Type Description None The validated model instance. Raises: Type Description ValidationError If the object could not be validated. model_validate_json \u00b6 def model_validate_json ( json_data : 'str | bytes | bytearray' , * , strict : 'bool | None' = None , context : 'dict[str, Any] | None' = None ) -> 'Model' Usage docs: docs.pydantic.dev/2.5/concepts/json/#json-parsing Validate the given JSON data against the Pydantic model. Parameters: Name Type Description Default json_data None The JSON data to validate. None strict None Whether to enforce types strictly. None context None Extra variables to pass to the validator. None Returns: Type Description None The validated Pydantic model. Raises: Type Description ValueError If json_data is not a JSON string. model_validate_strings \u00b6 def model_validate_strings ( obj : 'Any' , * , strict : 'bool | None' = None , context : 'dict[str, Any] | None' = None ) -> 'Model' Validate the given object contains string data against the Pydantic model. Parameters: Name Type Description Default obj None The object contains string data to validate. None strict None Whether to enforce types strictly. None context None Extra variables to pass to the validator. None Returns: Type Description None The validated Pydantic model. parse_file \u00b6 def parse_file ( path : 'str | Path' , * , content_type : 'str | None' = None , encoding : 'str' = 'utf8' , proto : 'DeprecatedParseProtocol | None' = None , allow_pickle : 'bool' = False ) -> 'Model' parse_obj \u00b6 def parse_obj ( obj : 'Any' ) -> 'Model' parse_raw \u00b6 def parse_raw ( b : 'str | bytes' , * , content_type : 'str | None' = None , encoding : 'str' = 'utf8' , proto : 'DeprecatedParseProtocol | None' = None , allow_pickle : 'bool' = False ) -> 'Model' schema \u00b6 def schema ( by_alias : 'bool' = True , ref_template : 'str' = '#/$defs/ {model} ' ) -> 'typing.Dict[str, Any]' schema_json \u00b6 def schema_json ( * , by_alias : 'bool' = True , ref_template : 'str' = '#/$defs/ {model} ' , ** dumps_kwargs : 'Any' ) -> 'str' settings_customise_sources \u00b6 def settings_customise_sources ( settings_cls : 'type[BaseSettings]' , init_settings : 'PydanticBaseSettingsSource' , env_settings : 'PydanticBaseSettingsSource' , dotenv_settings : 'PydanticBaseSettingsSource' , file_secret_settings : 'PydanticBaseSettingsSource' ) -> 'tuple[PydanticBaseSettingsSource, ...]' Define the sources and their order for loading the settings values. Parameters: Name Type Description Default settings_cls None The Settings class. None init_settings None The InitSettingsSource instance. None env_settings None The EnvSettingsSource instance. None dotenv_settings None The DotEnvSettingsSource instance. None file_secret_settings None The SecretsSettingsSource instance. None Returns: Type Description None A tuple containing the sources and their order for loading the settings values. update_forward_refs \u00b6 def update_forward_refs ( ** localns : 'Any' ) -> 'None' validate \u00b6 def validate ( value : 'Any' ) -> 'Model' Instance variables \u00b6 model_computed_fields Get the computed fields of this model instance. model_extra Get extra fields set during validation. model_fields_set Returns the set of fields that have been explicitly set on this model instance. Methods \u00b6 copy \u00b6 def copy ( self : 'Model' , * , include : 'AbstractSetIntStr | MappingIntStrAny | None' = None , exclude : 'AbstractSetIntStr | MappingIntStrAny | None' = None , update : 'typing.Dict[str, Any] | None' = None , deep : 'bool' = False ) -> 'Model' Returns a copy of the model. Deprecated This method is now deprecated; use model_copy instead. If you need include or exclude , use: data = self . model_dump ( include = include , exclude = exclude , round_trip = True ) data = { ** data , ** ( update or {})} copied = self . model_validate ( data ) Parameters: Name Type Description Default include None Optional set or mapping specifying which fields to include in the copied model. None exclude None Optional set or mapping specifying which fields to exclude in the copied model. None update None Optional dictionary of field-value pairs to override field values in the copied model. None deep None If True, the values of fields that are Pydantic models will be deep copied. None Returns: Type Description None A copy of the model with included, excluded and updated fields as specified. dict \u00b6 def dict ( self , * , include : 'IncEx' = None , exclude : 'IncEx' = None , by_alias : 'bool' = False , exclude_unset : 'bool' = False , exclude_defaults : 'bool' = False , exclude_none : 'bool' = False ) -> 'typing.Dict[str, Any]' json \u00b6 def json ( self , * , include : 'IncEx' = None , exclude : 'IncEx' = None , by_alias : 'bool' = False , exclude_unset : 'bool' = False , exclude_defaults : 'bool' = False , exclude_none : 'bool' = False , encoder : 'typing.Callable[[Any], Any] | None' = PydanticUndefined , models_as_dict : 'bool' = PydanticUndefined , ** dumps_kwargs : 'Any' ) -> 'str' model_copy \u00b6 def model_copy ( self : 'Model' , * , update : 'dict[str, Any] | None' = None , deep : 'bool' = False ) -> 'Model' Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#model_copy Returns a copy of the model. Parameters: Name Type Description Default update None Values to change/add in the new model. Note: the data is not validated before creating the new model. You should trust this data. None deep None Set to True to make a deep copy of the model. None Returns: Type Description None New model instance. model_dump \u00b6 def model_dump ( self , * , mode : \"Literal[('json', 'python')] | str\" = 'python' , include : 'IncEx' = None , exclude : 'IncEx' = None , by_alias : 'bool' = False , exclude_unset : 'bool' = False , exclude_defaults : 'bool' = False , exclude_none : 'bool' = False , round_trip : 'bool' = False , warnings : 'bool' = True ) -> 'dict[str, Any]' Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#modelmodel_dump Generate a dictionary representation of the model, optionally specifying which fields to include or exclude. Parameters: Name Type Description Default mode None The mode in which to_python should run. If mode is 'json', the dictionary will only contain JSON serializable types. If mode is 'python', the dictionary may contain any Python objects. None include None A list of fields to include in the output. None exclude None A list of fields to exclude from the output. None by_alias None Whether to use the field's alias in the dictionary key if defined. None exclude_unset None Whether to exclude fields that have not been explicitly set. None exclude_defaults None Whether to exclude fields that are set to their default value from the output. None exclude_none None Whether to exclude fields that have a value of None from the output. None round_trip None Whether to enable serialization and deserialization round-trip support. None warnings None Whether to log warnings when invalid fields are encountered. None Returns: Type Description None A dictionary representation of the model. model_dump_json \u00b6 def model_dump_json ( self , * , indent : 'int | None' = None , include : 'IncEx' = None , exclude : 'IncEx' = None , by_alias : 'bool' = False , exclude_unset : 'bool' = False , exclude_defaults : 'bool' = False , exclude_none : 'bool' = False , round_trip : 'bool' = False , warnings : 'bool' = True ) -> 'str' Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#modelmodel_dump_json Generates a JSON representation of the model using Pydantic's to_json method. Parameters: Name Type Description Default indent None Indentation to use in the JSON output. If None is passed, the output will be compact. None include None Field(s) to include in the JSON output. Can take either a string or set of strings. None exclude None Field(s) to exclude from the JSON output. Can take either a string or set of strings. None by_alias None Whether to serialize using field aliases. None exclude_unset None Whether to exclude fields that have not been explicitly set. None exclude_defaults None Whether to exclude fields that have the default value. None exclude_none None Whether to exclude fields that have a value of None . None round_trip None Whether to use serialization/deserialization between JSON and class instance. None warnings None Whether to show any warnings that occurred during serialization. None Returns: Type Description None A JSON string representation of the model. model_post_init \u00b6 def model_post_init ( self , _BaseModel__context : 'Any' ) -> 'None' Override this method to perform additional initialization after __init__ and model_construct . This is useful if you want to do some validation that requires the entire model to be initialized.","title":"settings"},{"location":"api/titiler/pgstac/settings/#module-titilerpgstacsettings","text":"API settings.","title":"Module titiler.pgstac.settings"},{"location":"api/titiler/pgstac/settings/#functions","text":"","title":"Functions"},{"location":"api/titiler/pgstac/settings/#retrysettings","text":"def RetrySettings ( ) -> titiler . pgstac . settings . _RetrySettings This function returns a cached instance of the RetrySettings object.","title":"RetrySettings"},{"location":"api/titiler/pgstac/settings/#classes","text":"","title":"Classes"},{"location":"api/titiler/pgstac/settings/#apisettings","text":"class ApiSettings ( __pydantic_self__ , _case_sensitive : 'bool | None' = None , _env_prefix : 'str | None' = None , _env_file : 'DotenvType | None' = PosixPath ( '.' ), _env_file_encoding : 'str | None' = None , _env_nested_delimiter : 'str | None' = None , _secrets_dir : 'str | Path | None' = None , ** values : 'Any' ) API settings","title":"ApiSettings"},{"location":"api/titiler/pgstac/settings/#ancestors-in-mro","text":"pydantic_settings.main.BaseSettings pydantic.main.BaseModel","title":"Ancestors (in MRO)"},{"location":"api/titiler/pgstac/settings/#class-variables","text":"model_config model_fields","title":"Class variables"},{"location":"api/titiler/pgstac/settings/#static-methods","text":"","title":"Static methods"},{"location":"api/titiler/pgstac/settings/#construct","text":"def construct ( _fields_set : 'set[str] | None' = None , ** values : 'Any' ) -> 'Model'","title":"construct"},{"location":"api/titiler/pgstac/settings/#from_orm","text":"def from_orm ( obj : 'Any' ) -> 'Model'","title":"from_orm"},{"location":"api/titiler/pgstac/settings/#model_construct","text":"def model_construct ( _fields_set : 'set[str] | None' = None , ** values : 'Any' ) -> 'Model' Creates a new instance of the Model class with validated data. Creates a new model setting __dict__ and __pydantic_fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed. Behaves as if Config.extra = 'allow' was set since it adds all passed values Parameters: Name Type Description Default _fields_set None The set of field names accepted for the Model instance. None values None Trusted or pre-validated data dictionary. None Returns: Type Description None A new instance of the Model class with validated data.","title":"model_construct"},{"location":"api/titiler/pgstac/settings/#model_json_schema","text":"def model_json_schema ( by_alias : 'bool' = True , ref_template : 'str' = '#/$defs/ {model} ' , schema_generator : 'type[GenerateJsonSchema]' = < class ' pydantic . json_schema . GenerateJsonSchema '>, mode : 'JsonSchemaMode' = 'validation' ) -> 'dict[str, Any]' Generates a JSON schema for a model class. Parameters: Name Type Description Default by_alias None Whether to use attribute aliases or not. None ref_template None The reference template. None schema_generator None To override the logic used to generate the JSON schema, as a subclass of GenerateJsonSchema with your desired modifications None mode None The mode in which to generate the schema. None Returns: Type Description None The JSON schema for the given model class.","title":"model_json_schema"},{"location":"api/titiler/pgstac/settings/#model_parametrized_name","text":"def model_parametrized_name ( params : 'tuple[type[Any], ...]' ) -> 'str' Compute the class name for parametrizations of generic classes. This method can be overridden to achieve a custom naming scheme for generic BaseModels. Parameters: Name Type Description Default params None Tuple of types of the class. Given a generic class Model with 2 type variables and a concrete model Model[str, int] , the value (str, int) would be passed to params . None Returns: Type Description None String representing the new class where params are passed to cls as type variables. Raises: Type Description TypeError Raised when trying to generate concrete names for non-generic models.","title":"model_parametrized_name"},{"location":"api/titiler/pgstac/settings/#model_rebuild","text":"def model_rebuild ( * , force : 'bool' = False , raise_errors : 'bool' = True , _parent_namespace_depth : 'int' = 2 , _types_namespace : 'dict[str, Any] | None' = None ) -> 'bool | None' Try to rebuild the pydantic-core schema for the model. This may be necessary when one of the annotations is a ForwardRef which could not be resolved during the initial attempt to build the schema, and automatic rebuilding fails. Parameters: Name Type Description Default force None Whether to force the rebuilding of the model schema, defaults to False . None raise_errors None Whether to raise errors, defaults to True . None _parent_namespace_depth None The depth level of the parent namespace, defaults to 2. None _types_namespace None The types namespace, defaults to None . None Returns: Type Description None Returns None if the schema is already \"complete\" and rebuilding was not required. If rebuilding was required, returns True if rebuilding was successful, otherwise False .","title":"model_rebuild"},{"location":"api/titiler/pgstac/settings/#model_validate","text":"def model_validate ( obj : 'Any' , * , strict : 'bool | None' = None , from_attributes : 'bool | None' = None , context : 'dict[str, Any] | None' = None ) -> 'Model' Validate a pydantic model instance. Parameters: Name Type Description Default obj None The object to validate. None strict None Whether to raise an exception on invalid fields. None from_attributes None Whether to extract data from object attributes. None context None Additional context to pass to the validator. None Returns: Type Description None The validated model instance. Raises: Type Description ValidationError If the object could not be validated.","title":"model_validate"},{"location":"api/titiler/pgstac/settings/#model_validate_json","text":"def model_validate_json ( json_data : 'str | bytes | bytearray' , * , strict : 'bool | None' = None , context : 'dict[str, Any] | None' = None ) -> 'Model' Usage docs: docs.pydantic.dev/2.5/concepts/json/#json-parsing Validate the given JSON data against the Pydantic model. Parameters: Name Type Description Default json_data None The JSON data to validate. None strict None Whether to enforce types strictly. None context None Extra variables to pass to the validator. None Returns: Type Description None The validated Pydantic model. Raises: Type Description ValueError If json_data is not a JSON string.","title":"model_validate_json"},{"location":"api/titiler/pgstac/settings/#model_validate_strings","text":"def model_validate_strings ( obj : 'Any' , * , strict : 'bool | None' = None , context : 'dict[str, Any] | None' = None ) -> 'Model' Validate the given object contains string data against the Pydantic model. Parameters: Name Type Description Default obj None The object contains string data to validate. None strict None Whether to enforce types strictly. None context None Extra variables to pass to the validator. None Returns: Type Description None The validated Pydantic model.","title":"model_validate_strings"},{"location":"api/titiler/pgstac/settings/#parse_cors_origin","text":"def parse_cors_origin ( v ) Parse CORS origins.","title":"parse_cors_origin"},{"location":"api/titiler/pgstac/settings/#parse_file","text":"def parse_file ( path : 'str | Path' , * , content_type : 'str | None' = None , encoding : 'str' = 'utf8' , proto : 'DeprecatedParseProtocol | None' = None , allow_pickle : 'bool' = False ) -> 'Model'","title":"parse_file"},{"location":"api/titiler/pgstac/settings/#parse_obj","text":"def parse_obj ( obj : 'Any' ) -> 'Model'","title":"parse_obj"},{"location":"api/titiler/pgstac/settings/#parse_raw","text":"def parse_raw ( b : 'str | bytes' , * , content_type : 'str | None' = None , encoding : 'str' = 'utf8' , proto : 'DeprecatedParseProtocol | None' = None , allow_pickle : 'bool' = False ) -> 'Model'","title":"parse_raw"},{"location":"api/titiler/pgstac/settings/#schema","text":"def schema ( by_alias : 'bool' = True , ref_template : 'str' = '#/$defs/ {model} ' ) -> 'typing.Dict[str, Any]'","title":"schema"},{"location":"api/titiler/pgstac/settings/#schema_json","text":"def schema_json ( * , by_alias : 'bool' = True , ref_template : 'str' = '#/$defs/ {model} ' , ** dumps_kwargs : 'Any' ) -> 'str'","title":"schema_json"},{"location":"api/titiler/pgstac/settings/#settings_customise_sources","text":"def settings_customise_sources ( settings_cls : 'type[BaseSettings]' , init_settings : 'PydanticBaseSettingsSource' , env_settings : 'PydanticBaseSettingsSource' , dotenv_settings : 'PydanticBaseSettingsSource' , file_secret_settings : 'PydanticBaseSettingsSource' ) -> 'tuple[PydanticBaseSettingsSource, ...]' Define the sources and their order for loading the settings values. Parameters: Name Type Description Default settings_cls None The Settings class. None init_settings None The InitSettingsSource instance. None env_settings None The EnvSettingsSource instance. None dotenv_settings None The DotEnvSettingsSource instance. None file_secret_settings None The SecretsSettingsSource instance. None Returns: Type Description None A tuple containing the sources and their order for loading the settings values.","title":"settings_customise_sources"},{"location":"api/titiler/pgstac/settings/#update_forward_refs","text":"def update_forward_refs ( ** localns : 'Any' ) -> 'None'","title":"update_forward_refs"},{"location":"api/titiler/pgstac/settings/#validate","text":"def validate ( value : 'Any' ) -> 'Model'","title":"validate"},{"location":"api/titiler/pgstac/settings/#instance-variables","text":"model_computed_fields Get the computed fields of this model instance. model_extra Get extra fields set during validation. model_fields_set Returns the set of fields that have been explicitly set on this model instance.","title":"Instance variables"},{"location":"api/titiler/pgstac/settings/#methods","text":"","title":"Methods"},{"location":"api/titiler/pgstac/settings/#copy","text":"def copy ( self : 'Model' , * , include : 'AbstractSetIntStr | MappingIntStrAny | None' = None , exclude : 'AbstractSetIntStr | MappingIntStrAny | None' = None , update : 'typing.Dict[str, Any] | None' = None , deep : 'bool' = False ) -> 'Model' Returns a copy of the model. Deprecated This method is now deprecated; use model_copy instead. If you need include or exclude , use: data = self . model_dump ( include = include , exclude = exclude , round_trip = True ) data = { ** data , ** ( update or {})} copied = self . model_validate ( data ) Parameters: Name Type Description Default include None Optional set or mapping specifying which fields to include in the copied model. None exclude None Optional set or mapping specifying which fields to exclude in the copied model. None update None Optional dictionary of field-value pairs to override field values in the copied model. None deep None If True, the values of fields that are Pydantic models will be deep copied. None Returns: Type Description None A copy of the model with included, excluded and updated fields as specified.","title":"copy"},{"location":"api/titiler/pgstac/settings/#dict","text":"def dict ( self , * , include : 'IncEx' = None , exclude : 'IncEx' = None , by_alias : 'bool' = False , exclude_unset : 'bool' = False , exclude_defaults : 'bool' = False , exclude_none : 'bool' = False ) -> 'typing.Dict[str, Any]'","title":"dict"},{"location":"api/titiler/pgstac/settings/#json","text":"def json ( self , * , include : 'IncEx' = None , exclude : 'IncEx' = None , by_alias : 'bool' = False , exclude_unset : 'bool' = False , exclude_defaults : 'bool' = False , exclude_none : 'bool' = False , encoder : 'typing.Callable[[Any], Any] | None' = PydanticUndefined , models_as_dict : 'bool' = PydanticUndefined , ** dumps_kwargs : 'Any' ) -> 'str'","title":"json"},{"location":"api/titiler/pgstac/settings/#model_copy","text":"def model_copy ( self : 'Model' , * , update : 'dict[str, Any] | None' = None , deep : 'bool' = False ) -> 'Model' Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#model_copy Returns a copy of the model. Parameters: Name Type Description Default update None Values to change/add in the new model. Note: the data is not validated before creating the new model. You should trust this data. None deep None Set to True to make a deep copy of the model. None Returns: Type Description None New model instance.","title":"model_copy"},{"location":"api/titiler/pgstac/settings/#model_dump","text":"def model_dump ( self , * , mode : \"Literal[('json', 'python')] | str\" = 'python' , include : 'IncEx' = None , exclude : 'IncEx' = None , by_alias : 'bool' = False , exclude_unset : 'bool' = False , exclude_defaults : 'bool' = False , exclude_none : 'bool' = False , round_trip : 'bool' = False , warnings : 'bool' = True ) -> 'dict[str, Any]' Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#modelmodel_dump Generate a dictionary representation of the model, optionally specifying which fields to include or exclude. Parameters: Name Type Description Default mode None The mode in which to_python should run. If mode is 'json', the dictionary will only contain JSON serializable types. If mode is 'python', the dictionary may contain any Python objects. None include None A list of fields to include in the output. None exclude None A list of fields to exclude from the output. None by_alias None Whether to use the field's alias in the dictionary key if defined. None exclude_unset None Whether to exclude fields that have not been explicitly set. None exclude_defaults None Whether to exclude fields that are set to their default value from the output. None exclude_none None Whether to exclude fields that have a value of None from the output. None round_trip None Whether to enable serialization and deserialization round-trip support. None warnings None Whether to log warnings when invalid fields are encountered. None Returns: Type Description None A dictionary representation of the model.","title":"model_dump"},{"location":"api/titiler/pgstac/settings/#model_dump_json","text":"def model_dump_json ( self , * , indent : 'int | None' = None , include : 'IncEx' = None , exclude : 'IncEx' = None , by_alias : 'bool' = False , exclude_unset : 'bool' = False , exclude_defaults : 'bool' = False , exclude_none : 'bool' = False , round_trip : 'bool' = False , warnings : 'bool' = True ) -> 'str' Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#modelmodel_dump_json Generates a JSON representation of the model using Pydantic's to_json method. Parameters: Name Type Description Default indent None Indentation to use in the JSON output. If None is passed, the output will be compact. None include None Field(s) to include in the JSON output. Can take either a string or set of strings. None exclude None Field(s) to exclude from the JSON output. Can take either a string or set of strings. None by_alias None Whether to serialize using field aliases. None exclude_unset None Whether to exclude fields that have not been explicitly set. None exclude_defaults None Whether to exclude fields that have the default value. None exclude_none None Whether to exclude fields that have a value of None . None round_trip None Whether to use serialization/deserialization between JSON and class instance. None warnings None Whether to show any warnings that occurred during serialization. None Returns: Type Description None A JSON string representation of the model.","title":"model_dump_json"},{"location":"api/titiler/pgstac/settings/#model_post_init","text":"def model_post_init ( self , _BaseModel__context : 'Any' ) -> 'None' Override this method to perform additional initialization after __init__ and model_construct . This is useful if you want to do some validation that requires the entire model to be initialized.","title":"model_post_init"},{"location":"api/titiler/pgstac/settings/#cachesettings","text":"class CacheSettings ( __pydantic_self__ , _case_sensitive : 'bool | None' = None , _env_prefix : 'str | None' = None , _env_file : 'DotenvType | None' = PosixPath ( '.' ), _env_file_encoding : 'str | None' = None , _env_nested_delimiter : 'str | None' = None , _secrets_dir : 'str | Path | None' = None , ** values : 'Any' ) Cache settings","title":"CacheSettings"},{"location":"api/titiler/pgstac/settings/#ancestors-in-mro_1","text":"pydantic_settings.main.BaseSettings pydantic.main.BaseModel","title":"Ancestors (in MRO)"},{"location":"api/titiler/pgstac/settings/#class-variables_1","text":"model_config model_fields","title":"Class variables"},{"location":"api/titiler/pgstac/settings/#static-methods_1","text":"","title":"Static methods"},{"location":"api/titiler/pgstac/settings/#construct_1","text":"def construct ( _fields_set : 'set[str] | None' = None , ** values : 'Any' ) -> 'Model'","title":"construct"},{"location":"api/titiler/pgstac/settings/#from_orm_1","text":"def from_orm ( obj : 'Any' ) -> 'Model'","title":"from_orm"},{"location":"api/titiler/pgstac/settings/#model_construct_1","text":"def model_construct ( _fields_set : 'set[str] | None' = None , ** values : 'Any' ) -> 'Model' Creates a new instance of the Model class with validated data. Creates a new model setting __dict__ and __pydantic_fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed. Behaves as if Config.extra = 'allow' was set since it adds all passed values Parameters: Name Type Description Default _fields_set None The set of field names accepted for the Model instance. None values None Trusted or pre-validated data dictionary. None Returns: Type Description None A new instance of the Model class with validated data.","title":"model_construct"},{"location":"api/titiler/pgstac/settings/#model_json_schema_1","text":"def model_json_schema ( by_alias : 'bool' = True , ref_template : 'str' = '#/$defs/ {model} ' , schema_generator : 'type[GenerateJsonSchema]' = < class ' pydantic . json_schema . GenerateJsonSchema '>, mode : 'JsonSchemaMode' = 'validation' ) -> 'dict[str, Any]' Generates a JSON schema for a model class. Parameters: Name Type Description Default by_alias None Whether to use attribute aliases or not. None ref_template None The reference template. None schema_generator None To override the logic used to generate the JSON schema, as a subclass of GenerateJsonSchema with your desired modifications None mode None The mode in which to generate the schema. None Returns: Type Description None The JSON schema for the given model class.","title":"model_json_schema"},{"location":"api/titiler/pgstac/settings/#model_parametrized_name_1","text":"def model_parametrized_name ( params : 'tuple[type[Any], ...]' ) -> 'str' Compute the class name for parametrizations of generic classes. This method can be overridden to achieve a custom naming scheme for generic BaseModels. Parameters: Name Type Description Default params None Tuple of types of the class. Given a generic class Model with 2 type variables and a concrete model Model[str, int] , the value (str, int) would be passed to params . None Returns: Type Description None String representing the new class where params are passed to cls as type variables. Raises: Type Description TypeError Raised when trying to generate concrete names for non-generic models.","title":"model_parametrized_name"},{"location":"api/titiler/pgstac/settings/#model_rebuild_1","text":"def model_rebuild ( * , force : 'bool' = False , raise_errors : 'bool' = True , _parent_namespace_depth : 'int' = 2 , _types_namespace : 'dict[str, Any] | None' = None ) -> 'bool | None' Try to rebuild the pydantic-core schema for the model. This may be necessary when one of the annotations is a ForwardRef which could not be resolved during the initial attempt to build the schema, and automatic rebuilding fails. Parameters: Name Type Description Default force None Whether to force the rebuilding of the model schema, defaults to False . None raise_errors None Whether to raise errors, defaults to True . None _parent_namespace_depth None The depth level of the parent namespace, defaults to 2. None _types_namespace None The types namespace, defaults to None . None Returns: Type Description None Returns None if the schema is already \"complete\" and rebuilding was not required. If rebuilding was required, returns True if rebuilding was successful, otherwise False .","title":"model_rebuild"},{"location":"api/titiler/pgstac/settings/#model_validate_1","text":"def model_validate ( obj : 'Any' , * , strict : 'bool | None' = None , from_attributes : 'bool | None' = None , context : 'dict[str, Any] | None' = None ) -> 'Model' Validate a pydantic model instance. Parameters: Name Type Description Default obj None The object to validate. None strict None Whether to raise an exception on invalid fields. None from_attributes None Whether to extract data from object attributes. None context None Additional context to pass to the validator. None Returns: Type Description None The validated model instance. Raises: Type Description ValidationError If the object could not be validated.","title":"model_validate"},{"location":"api/titiler/pgstac/settings/#model_validate_json_1","text":"def model_validate_json ( json_data : 'str | bytes | bytearray' , * , strict : 'bool | None' = None , context : 'dict[str, Any] | None' = None ) -> 'Model' Usage docs: docs.pydantic.dev/2.5/concepts/json/#json-parsing Validate the given JSON data against the Pydantic model. Parameters: Name Type Description Default json_data None The JSON data to validate. None strict None Whether to enforce types strictly. None context None Extra variables to pass to the validator. None Returns: Type Description None The validated Pydantic model. Raises: Type Description ValueError If json_data is not a JSON string.","title":"model_validate_json"},{"location":"api/titiler/pgstac/settings/#model_validate_strings_1","text":"def model_validate_strings ( obj : 'Any' , * , strict : 'bool | None' = None , context : 'dict[str, Any] | None' = None ) -> 'Model' Validate the given object contains string data against the Pydantic model. Parameters: Name Type Description Default obj None The object contains string data to validate. None strict None Whether to enforce types strictly. None context None Extra variables to pass to the validator. None Returns: Type Description None The validated Pydantic model.","title":"model_validate_strings"},{"location":"api/titiler/pgstac/settings/#parse_file_1","text":"def parse_file ( path : 'str | Path' , * , content_type : 'str | None' = None , encoding : 'str' = 'utf8' , proto : 'DeprecatedParseProtocol | None' = None , allow_pickle : 'bool' = False ) -> 'Model'","title":"parse_file"},{"location":"api/titiler/pgstac/settings/#parse_obj_1","text":"def parse_obj ( obj : 'Any' ) -> 'Model'","title":"parse_obj"},{"location":"api/titiler/pgstac/settings/#parse_raw_1","text":"def parse_raw ( b : 'str | bytes' , * , content_type : 'str | None' = None , encoding : 'str' = 'utf8' , proto : 'DeprecatedParseProtocol | None' = None , allow_pickle : 'bool' = False ) -> 'Model'","title":"parse_raw"},{"location":"api/titiler/pgstac/settings/#schema_1","text":"def schema ( by_alias : 'bool' = True , ref_template : 'str' = '#/$defs/ {model} ' ) -> 'typing.Dict[str, Any]'","title":"schema"},{"location":"api/titiler/pgstac/settings/#schema_json_1","text":"def schema_json ( * , by_alias : 'bool' = True , ref_template : 'str' = '#/$defs/ {model} ' , ** dumps_kwargs : 'Any' ) -> 'str'","title":"schema_json"},{"location":"api/titiler/pgstac/settings/#settings_customise_sources_1","text":"def settings_customise_sources ( settings_cls : 'type[BaseSettings]' , init_settings : 'PydanticBaseSettingsSource' , env_settings : 'PydanticBaseSettingsSource' , dotenv_settings : 'PydanticBaseSettingsSource' , file_secret_settings : 'PydanticBaseSettingsSource' ) -> 'tuple[PydanticBaseSettingsSource, ...]' Define the sources and their order for loading the settings values. Parameters: Name Type Description Default settings_cls None The Settings class. None init_settings None The InitSettingsSource instance. None env_settings None The EnvSettingsSource instance. None dotenv_settings None The DotEnvSettingsSource instance. None file_secret_settings None The SecretsSettingsSource instance. None Returns: Type Description None A tuple containing the sources and their order for loading the settings values.","title":"settings_customise_sources"},{"location":"api/titiler/pgstac/settings/#update_forward_refs_1","text":"def update_forward_refs ( ** localns : 'Any' ) -> 'None'","title":"update_forward_refs"},{"location":"api/titiler/pgstac/settings/#validate_1","text":"def validate ( value : 'Any' ) -> 'Model'","title":"validate"},{"location":"api/titiler/pgstac/settings/#instance-variables_1","text":"model_computed_fields Get the computed fields of this model instance. model_extra Get extra fields set during validation. model_fields_set Returns the set of fields that have been explicitly set on this model instance.","title":"Instance variables"},{"location":"api/titiler/pgstac/settings/#methods_1","text":"","title":"Methods"},{"location":"api/titiler/pgstac/settings/#check_enable","text":"def check_enable ( self ) Check if cache is disabled.","title":"check_enable"},{"location":"api/titiler/pgstac/settings/#copy_1","text":"def copy ( self : 'Model' , * , include : 'AbstractSetIntStr | MappingIntStrAny | None' = None , exclude : 'AbstractSetIntStr | MappingIntStrAny | None' = None , update : 'typing.Dict[str, Any] | None' = None , deep : 'bool' = False ) -> 'Model' Returns a copy of the model. Deprecated This method is now deprecated; use model_copy instead. If you need include or exclude , use: data = self . model_dump ( include = include , exclude = exclude , round_trip = True ) data = { ** data , ** ( update or {})} copied = self . model_validate ( data ) Parameters: Name Type Description Default include None Optional set or mapping specifying which fields to include in the copied model. None exclude None Optional set or mapping specifying which fields to exclude in the copied model. None update None Optional dictionary of field-value pairs to override field values in the copied model. None deep None If True, the values of fields that are Pydantic models will be deep copied. None Returns: Type Description None A copy of the model with included, excluded and updated fields as specified.","title":"copy"},{"location":"api/titiler/pgstac/settings/#dict_1","text":"def dict ( self , * , include : 'IncEx' = None , exclude : 'IncEx' = None , by_alias : 'bool' = False , exclude_unset : 'bool' = False , exclude_defaults : 'bool' = False , exclude_none : 'bool' = False ) -> 'typing.Dict[str, Any]'","title":"dict"},{"location":"api/titiler/pgstac/settings/#json_1","text":"def json ( self , * , include : 'IncEx' = None , exclude : 'IncEx' = None , by_alias : 'bool' = False , exclude_unset : 'bool' = False , exclude_defaults : 'bool' = False , exclude_none : 'bool' = False , encoder : 'typing.Callable[[Any], Any] | None' = PydanticUndefined , models_as_dict : 'bool' = PydanticUndefined , ** dumps_kwargs : 'Any' ) -> 'str'","title":"json"},{"location":"api/titiler/pgstac/settings/#model_copy_1","text":"def model_copy ( self : 'Model' , * , update : 'dict[str, Any] | None' = None , deep : 'bool' = False ) -> 'Model' Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#model_copy Returns a copy of the model. Parameters: Name Type Description Default update None Values to change/add in the new model. Note: the data is not validated before creating the new model. You should trust this data. None deep None Set to True to make a deep copy of the model. None Returns: Type Description None New model instance.","title":"model_copy"},{"location":"api/titiler/pgstac/settings/#model_dump_1","text":"def model_dump ( self , * , mode : \"Literal[('json', 'python')] | str\" = 'python' , include : 'IncEx' = None , exclude : 'IncEx' = None , by_alias : 'bool' = False , exclude_unset : 'bool' = False , exclude_defaults : 'bool' = False , exclude_none : 'bool' = False , round_trip : 'bool' = False , warnings : 'bool' = True ) -> 'dict[str, Any]' Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#modelmodel_dump Generate a dictionary representation of the model, optionally specifying which fields to include or exclude. Parameters: Name Type Description Default mode None The mode in which to_python should run. If mode is 'json', the dictionary will only contain JSON serializable types. If mode is 'python', the dictionary may contain any Python objects. None include None A list of fields to include in the output. None exclude None A list of fields to exclude from the output. None by_alias None Whether to use the field's alias in the dictionary key if defined. None exclude_unset None Whether to exclude fields that have not been explicitly set. None exclude_defaults None Whether to exclude fields that are set to their default value from the output. None exclude_none None Whether to exclude fields that have a value of None from the output. None round_trip None Whether to enable serialization and deserialization round-trip support. None warnings None Whether to log warnings when invalid fields are encountered. None Returns: Type Description None A dictionary representation of the model.","title":"model_dump"},{"location":"api/titiler/pgstac/settings/#model_dump_json_1","text":"def model_dump_json ( self , * , indent : 'int | None' = None , include : 'IncEx' = None , exclude : 'IncEx' = None , by_alias : 'bool' = False , exclude_unset : 'bool' = False , exclude_defaults : 'bool' = False , exclude_none : 'bool' = False , round_trip : 'bool' = False , warnings : 'bool' = True ) -> 'str' Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#modelmodel_dump_json Generates a JSON representation of the model using Pydantic's to_json method. Parameters: Name Type Description Default indent None Indentation to use in the JSON output. If None is passed, the output will be compact. None include None Field(s) to include in the JSON output. Can take either a string or set of strings. None exclude None Field(s) to exclude from the JSON output. Can take either a string or set of strings. None by_alias None Whether to serialize using field aliases. None exclude_unset None Whether to exclude fields that have not been explicitly set. None exclude_defaults None Whether to exclude fields that have the default value. None exclude_none None Whether to exclude fields that have a value of None . None round_trip None Whether to use serialization/deserialization between JSON and class instance. None warnings None Whether to show any warnings that occurred during serialization. None Returns: Type Description None A JSON string representation of the model.","title":"model_dump_json"},{"location":"api/titiler/pgstac/settings/#model_post_init_1","text":"def model_post_init ( self , _BaseModel__context : 'Any' ) -> 'None' Override this method to perform additional initialization after __init__ and model_construct . This is useful if you want to do some validation that requires the entire model to be initialized.","title":"model_post_init"},{"location":"api/titiler/pgstac/settings/#postgressettings","text":"class PostgresSettings ( __pydantic_self__ , _case_sensitive : 'bool | None' = None , _env_prefix : 'str | None' = None , _env_file : 'DotenvType | None' = PosixPath ( '.' ), _env_file_encoding : 'str | None' = None , _env_nested_delimiter : 'str | None' = None , _secrets_dir : 'str | Path | None' = None , ** values : 'Any' ) Postgres-specific API settings.","title":"PostgresSettings"},{"location":"api/titiler/pgstac/settings/#attributes","text":"Name Type Description Default postgres_user None postgres username. None postgres_pass None postgres password. None postgres_host None database hostname. None postgres_port None database port. None postgres_dbname None database name. None","title":"Attributes"},{"location":"api/titiler/pgstac/settings/#ancestors-in-mro_2","text":"pydantic_settings.main.BaseSettings pydantic.main.BaseModel","title":"Ancestors (in MRO)"},{"location":"api/titiler/pgstac/settings/#class-variables_2","text":"model_config model_fields","title":"Class variables"},{"location":"api/titiler/pgstac/settings/#static-methods_2","text":"","title":"Static methods"},{"location":"api/titiler/pgstac/settings/#assemble_db_connection","text":"def assemble_db_connection ( v : Union [ str , NoneType ], info : pydantic_core . core_schema . ValidationInfo ) -> Any Validate database config.","title":"assemble_db_connection"},{"location":"api/titiler/pgstac/settings/#construct_2","text":"def construct ( _fields_set : 'set[str] | None' = None , ** values : 'Any' ) -> 'Model'","title":"construct"},{"location":"api/titiler/pgstac/settings/#from_orm_2","text":"def from_orm ( obj : 'Any' ) -> 'Model'","title":"from_orm"},{"location":"api/titiler/pgstac/settings/#model_construct_2","text":"def model_construct ( _fields_set : 'set[str] | None' = None , ** values : 'Any' ) -> 'Model' Creates a new instance of the Model class with validated data. Creates a new model setting __dict__ and __pydantic_fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed. Behaves as if Config.extra = 'allow' was set since it adds all passed values Parameters: Name Type Description Default _fields_set None The set of field names accepted for the Model instance. None values None Trusted or pre-validated data dictionary. None Returns: Type Description None A new instance of the Model class with validated data.","title":"model_construct"},{"location":"api/titiler/pgstac/settings/#model_json_schema_2","text":"def model_json_schema ( by_alias : 'bool' = True , ref_template : 'str' = '#/$defs/ {model} ' , schema_generator : 'type[GenerateJsonSchema]' = < class ' pydantic . json_schema . GenerateJsonSchema '>, mode : 'JsonSchemaMode' = 'validation' ) -> 'dict[str, Any]' Generates a JSON schema for a model class. Parameters: Name Type Description Default by_alias None Whether to use attribute aliases or not. None ref_template None The reference template. None schema_generator None To override the logic used to generate the JSON schema, as a subclass of GenerateJsonSchema with your desired modifications None mode None The mode in which to generate the schema. None Returns: Type Description None The JSON schema for the given model class.","title":"model_json_schema"},{"location":"api/titiler/pgstac/settings/#model_parametrized_name_2","text":"def model_parametrized_name ( params : 'tuple[type[Any], ...]' ) -> 'str' Compute the class name for parametrizations of generic classes. This method can be overridden to achieve a custom naming scheme for generic BaseModels. Parameters: Name Type Description Default params None Tuple of types of the class. Given a generic class Model with 2 type variables and a concrete model Model[str, int] , the value (str, int) would be passed to params . None Returns: Type Description None String representing the new class where params are passed to cls as type variables. Raises: Type Description TypeError Raised when trying to generate concrete names for non-generic models.","title":"model_parametrized_name"},{"location":"api/titiler/pgstac/settings/#model_rebuild_2","text":"def model_rebuild ( * , force : 'bool' = False , raise_errors : 'bool' = True , _parent_namespace_depth : 'int' = 2 , _types_namespace : 'dict[str, Any] | None' = None ) -> 'bool | None' Try to rebuild the pydantic-core schema for the model. This may be necessary when one of the annotations is a ForwardRef which could not be resolved during the initial attempt to build the schema, and automatic rebuilding fails. Parameters: Name Type Description Default force None Whether to force the rebuilding of the model schema, defaults to False . None raise_errors None Whether to raise errors, defaults to True . None _parent_namespace_depth None The depth level of the parent namespace, defaults to 2. None _types_namespace None The types namespace, defaults to None . None Returns: Type Description None Returns None if the schema is already \"complete\" and rebuilding was not required. If rebuilding was required, returns True if rebuilding was successful, otherwise False .","title":"model_rebuild"},{"location":"api/titiler/pgstac/settings/#model_validate_2","text":"def model_validate ( obj : 'Any' , * , strict : 'bool | None' = None , from_attributes : 'bool | None' = None , context : 'dict[str, Any] | None' = None ) -> 'Model' Validate a pydantic model instance. Parameters: Name Type Description Default obj None The object to validate. None strict None Whether to raise an exception on invalid fields. None from_attributes None Whether to extract data from object attributes. None context None Additional context to pass to the validator. None Returns: Type Description None The validated model instance. Raises: Type Description ValidationError If the object could not be validated.","title":"model_validate"},{"location":"api/titiler/pgstac/settings/#model_validate_json_2","text":"def model_validate_json ( json_data : 'str | bytes | bytearray' , * , strict : 'bool | None' = None , context : 'dict[str, Any] | None' = None ) -> 'Model' Usage docs: docs.pydantic.dev/2.5/concepts/json/#json-parsing Validate the given JSON data against the Pydantic model. Parameters: Name Type Description Default json_data None The JSON data to validate. None strict None Whether to enforce types strictly. None context None Extra variables to pass to the validator. None Returns: Type Description None The validated Pydantic model. Raises: Type Description ValueError If json_data is not a JSON string.","title":"model_validate_json"},{"location":"api/titiler/pgstac/settings/#model_validate_strings_2","text":"def model_validate_strings ( obj : 'Any' , * , strict : 'bool | None' = None , context : 'dict[str, Any] | None' = None ) -> 'Model' Validate the given object contains string data against the Pydantic model. Parameters: Name Type Description Default obj None The object contains string data to validate. None strict None Whether to enforce types strictly. None context None Extra variables to pass to the validator. None Returns: Type Description None The validated Pydantic model.","title":"model_validate_strings"},{"location":"api/titiler/pgstac/settings/#parse_file_2","text":"def parse_file ( path : 'str | Path' , * , content_type : 'str | None' = None , encoding : 'str' = 'utf8' , proto : 'DeprecatedParseProtocol | None' = None , allow_pickle : 'bool' = False ) -> 'Model'","title":"parse_file"},{"location":"api/titiler/pgstac/settings/#parse_obj_2","text":"def parse_obj ( obj : 'Any' ) -> 'Model'","title":"parse_obj"},{"location":"api/titiler/pgstac/settings/#parse_raw_2","text":"def parse_raw ( b : 'str | bytes' , * , content_type : 'str | None' = None , encoding : 'str' = 'utf8' , proto : 'DeprecatedParseProtocol | None' = None , allow_pickle : 'bool' = False ) -> 'Model'","title":"parse_raw"},{"location":"api/titiler/pgstac/settings/#schema_2","text":"def schema ( by_alias : 'bool' = True , ref_template : 'str' = '#/$defs/ {model} ' ) -> 'typing.Dict[str, Any]'","title":"schema"},{"location":"api/titiler/pgstac/settings/#schema_json_2","text":"def schema_json ( * , by_alias : 'bool' = True , ref_template : 'str' = '#/$defs/ {model} ' , ** dumps_kwargs : 'Any' ) -> 'str'","title":"schema_json"},{"location":"api/titiler/pgstac/settings/#settings_customise_sources_2","text":"def settings_customise_sources ( settings_cls : 'type[BaseSettings]' , init_settings : 'PydanticBaseSettingsSource' , env_settings : 'PydanticBaseSettingsSource' , dotenv_settings : 'PydanticBaseSettingsSource' , file_secret_settings : 'PydanticBaseSettingsSource' ) -> 'tuple[PydanticBaseSettingsSource, ...]' Define the sources and their order for loading the settings values. Parameters: Name Type Description Default settings_cls None The Settings class. None init_settings None The InitSettingsSource instance. None env_settings None The EnvSettingsSource instance. None dotenv_settings None The DotEnvSettingsSource instance. None file_secret_settings None The SecretsSettingsSource instance. None Returns: Type Description None A tuple containing the sources and their order for loading the settings values.","title":"settings_customise_sources"},{"location":"api/titiler/pgstac/settings/#update_forward_refs_2","text":"def update_forward_refs ( ** localns : 'Any' ) -> 'None'","title":"update_forward_refs"},{"location":"api/titiler/pgstac/settings/#validate_2","text":"def validate ( value : 'Any' ) -> 'Model'","title":"validate"},{"location":"api/titiler/pgstac/settings/#instance-variables_2","text":"model_computed_fields Get the computed fields of this model instance. model_extra Get extra fields set during validation. model_fields_set Returns the set of fields that have been explicitly set on this model instance.","title":"Instance variables"},{"location":"api/titiler/pgstac/settings/#methods_2","text":"","title":"Methods"},{"location":"api/titiler/pgstac/settings/#copy_2","text":"def copy ( self : 'Model' , * , include : 'AbstractSetIntStr | MappingIntStrAny | None' = None , exclude : 'AbstractSetIntStr | MappingIntStrAny | None' = None , update : 'typing.Dict[str, Any] | None' = None , deep : 'bool' = False ) -> 'Model' Returns a copy of the model. Deprecated This method is now deprecated; use model_copy instead. If you need include or exclude , use: data = self . model_dump ( include = include , exclude = exclude , round_trip = True ) data = { ** data , ** ( update or {})} copied = self . model_validate ( data ) Parameters: Name Type Description Default include None Optional set or mapping specifying which fields to include in the copied model. None exclude None Optional set or mapping specifying which fields to exclude in the copied model. None update None Optional dictionary of field-value pairs to override field values in the copied model. None deep None If True, the values of fields that are Pydantic models will be deep copied. None Returns: Type Description None A copy of the model with included, excluded and updated fields as specified.","title":"copy"},{"location":"api/titiler/pgstac/settings/#dict_2","text":"def dict ( self , * , include : 'IncEx' = None , exclude : 'IncEx' = None , by_alias : 'bool' = False , exclude_unset : 'bool' = False , exclude_defaults : 'bool' = False , exclude_none : 'bool' = False ) -> 'typing.Dict[str, Any]'","title":"dict"},{"location":"api/titiler/pgstac/settings/#json_2","text":"def json ( self , * , include : 'IncEx' = None , exclude : 'IncEx' = None , by_alias : 'bool' = False , exclude_unset : 'bool' = False , exclude_defaults : 'bool' = False , exclude_none : 'bool' = False , encoder : 'typing.Callable[[Any], Any] | None' = PydanticUndefined , models_as_dict : 'bool' = PydanticUndefined , ** dumps_kwargs : 'Any' ) -> 'str'","title":"json"},{"location":"api/titiler/pgstac/settings/#model_copy_2","text":"def model_copy ( self : 'Model' , * , update : 'dict[str, Any] | None' = None , deep : 'bool' = False ) -> 'Model' Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#model_copy Returns a copy of the model. Parameters: Name Type Description Default update None Values to change/add in the new model. Note: the data is not validated before creating the new model. You should trust this data. None deep None Set to True to make a deep copy of the model. None Returns: Type Description None New model instance.","title":"model_copy"},{"location":"api/titiler/pgstac/settings/#model_dump_2","text":"def model_dump ( self , * , mode : \"Literal[('json', 'python')] | str\" = 'python' , include : 'IncEx' = None , exclude : 'IncEx' = None , by_alias : 'bool' = False , exclude_unset : 'bool' = False , exclude_defaults : 'bool' = False , exclude_none : 'bool' = False , round_trip : 'bool' = False , warnings : 'bool' = True ) -> 'dict[str, Any]' Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#modelmodel_dump Generate a dictionary representation of the model, optionally specifying which fields to include or exclude. Parameters: Name Type Description Default mode None The mode in which to_python should run. If mode is 'json', the dictionary will only contain JSON serializable types. If mode is 'python', the dictionary may contain any Python objects. None include None A list of fields to include in the output. None exclude None A list of fields to exclude from the output. None by_alias None Whether to use the field's alias in the dictionary key if defined. None exclude_unset None Whether to exclude fields that have not been explicitly set. None exclude_defaults None Whether to exclude fields that are set to their default value from the output. None exclude_none None Whether to exclude fields that have a value of None from the output. None round_trip None Whether to enable serialization and deserialization round-trip support. None warnings None Whether to log warnings when invalid fields are encountered. None Returns: Type Description None A dictionary representation of the model.","title":"model_dump"},{"location":"api/titiler/pgstac/settings/#model_dump_json_2","text":"def model_dump_json ( self , * , indent : 'int | None' = None , include : 'IncEx' = None , exclude : 'IncEx' = None , by_alias : 'bool' = False , exclude_unset : 'bool' = False , exclude_defaults : 'bool' = False , exclude_none : 'bool' = False , round_trip : 'bool' = False , warnings : 'bool' = True ) -> 'str' Usage docs: docs.pydantic.dev/2.5/concepts/serialization/#modelmodel_dump_json Generates a JSON representation of the model using Pydantic's to_json method. Parameters: Name Type Description Default indent None Indentation to use in the JSON output. If None is passed, the output will be compact. None include None Field(s) to include in the JSON output. Can take either a string or set of strings. None exclude None Field(s) to exclude from the JSON output. Can take either a string or set of strings. None by_alias None Whether to serialize using field aliases. None exclude_unset None Whether to exclude fields that have not been explicitly set. None exclude_defaults None Whether to exclude fields that have the default value. None exclude_none None Whether to exclude fields that have a value of None . None round_trip None Whether to use serialization/deserialization between JSON and class instance. None warnings None Whether to show any warnings that occurred during serialization. None Returns: Type Description None A JSON string representation of the model.","title":"model_dump_json"},{"location":"api/titiler/pgstac/settings/#model_post_init_2","text":"def model_post_init ( self , _BaseModel__context : 'Any' ) -> 'None' Override this method to perform additional initialization after __init__ and model_construct . This is useful if you want to do some validation that requires the entire model to be initialized.","title":"model_post_init"},{"location":"api/titiler/pgstac/utils/","text":"Module titiler.pgstac.utils \u00b6 titiler.pgstac utilities. Functions \u00b6 retry \u00b6 def retry ( tries : int , exceptions : Union [ Type [ Exception ], Sequence [ Type [ Exception ]]] = < class ' Exception '>, delay : float = 0.0 ) Retry Decorator","title":"utils"},{"location":"api/titiler/pgstac/utils/#module-titilerpgstacutils","text":"titiler.pgstac utilities.","title":"Module titiler.pgstac.utils"},{"location":"api/titiler/pgstac/utils/#functions","text":"","title":"Functions"},{"location":"api/titiler/pgstac/utils/#retry","text":"def retry ( tries : int , exceptions : Union [ Type [ Exception ], Sequence [ Type [ Exception ]]] = < class ' Exception '>, delay : float = 0.0 ) Retry Decorator","title":"retry"},{"location":"endpoints/","text":"By default the main application ( titiler.pgstac.main.app ) provides three sets of endpoints: Searches : Dynamic mosaic tiler based on PgSTAC Search Query Collections : Dynamic mosaic tiler based on STAC Collection Items : Dynamic tiler for single STAC item (stored in PgSTAC) TileMatrixSet : Available TileMatrixSets for the service","title":"Endpoints"},{"location":"endpoints/collections_endpoints/","text":"STAC Collections endpoints \u00b6 Method URL Output Description GET /collections/{collection_id}/{lon},{lat}/assets JSON Return a list of assets which overlap a given point GET /collections/{collection_id}/tiles[/{TileMatrixSetId}]/{z}/{x}/{Y}/assets JSON Return a list of assets which overlap a given tile GET /collections/{collection_id}/tiles[/{TileMatrixSetId}]/{z}/{x}/{y}[@{scale}x][.{format}] image/bin Create a web map tile image for a collection and a tile index GET /collections/{collection_id}[/{TileMatrixSetId}]/tilejson.json JSON ( TileJSON ) Return a Mapbox TileJSON document GET /collections/{collection_id}[/{TileMatrixSetId}]/WMTSCapabilities.xml XML return OGC WMTS Get Capabilities GET /collections/{collection_id}[/{TileMatrixSetId}]/map HTML simple map viewer POST /collections/{collection_id}/statistics GeoJSON ( Statistics ) Return statistics for geojson features GET /collections/{collection_id}/bbox/{minx},{miny},{maxx},{maxy}[/{width}x{height}].{format} image/bin Create an image from part of a dataset POST /collections/{collection_id}/feature[/{width}x{height}][.{format}] image/bin Create an image from a GeoJSON feature Tiles \u00b6 :endpoint:/collections/{collection_id}/tiles[/{TileMatrixSetId}]/{z}/{x}/{y}[@{scale}x][.{format}] PathParams: collection_id : STAC Collection Identifier. TileMatrixSetId : TileMatrixSet name, default is WebMercatorQuad . OPTIONAL z : Tile's zoom level. x : Tile's column. y : Tile's row. scale : Tile size scale, default is set to 1 (256x256). OPTIONAL format : Output image format, default is set to None and will be either JPEG or PNG depending on masked value. OPTIONAL QueryParams: assets (array[str]): asset names. expression (str): rio-tiler's math expression with asset names (e.g Asset1_b1/Asset2_b1 ). asset_as_band (bool): tell rio-tiler that each asset is a 1 band dataset, so expression Asset1/Asset2 can be passed. asset_bidx (array[str]): Per asset band math expression (e.g Asset1|1;2;3 ). nodata : Overwrite internal Nodata value. OPTIONAL unscale (bool): Apply dataset internal Scale/Offset. resampling (str): RasterIO resampling algorithm. Defaults to nearest . reproject (str): WarpKernel resampling algorithm (only used when doing re-projection). Defaults to nearest . algorithm (str): Custom algorithm name (e.g hillshade ). algorithm_params (str): JSON encoded algorithm parameters. rescale (array[str]): Comma (',') delimited Min,Max range (e.g rescale=0,1000 , rescale=0,1000&rescale=0,3000&rescale=0,2000 ). color_formula (str): rio-color formula. colormap (str): JSON encoded custom Colormap. colormap_name (str): rio-tiler color map name. return_mask (bool): Add mask to the output data. Default is True. buffer (float): Buffer on each side of the given tile. It must be a multiple of 0.5 . Output tilesize will be expanded to tilesize + 2 * buffer (e.g 0.5 = 257x257, 1.0 = 258x258). padding (int): Padding to apply to each tile edge. Helps reduce resampling artefacts along edges. Defaults to 0 pixel_selection (str): Pixel selection method ( cogeotiff.github.io/rio-tiler/mosaic/ ). scan_limit (int): Return as soon as we scan N items, Default is 10,000 in PgSTAC. items_limit (int): Return as soon as we have N items per geometry, Default is 100 in PgSTAC. time_limit (int): Return after N seconds to avoid long requests, Default is 5sec in PgSTAC. exitwhenfull (bool): Return as soon as the geometry is fully covered, Default is True in PgSTAC. skipcovered (bool): Skip any items that would show up completely under the previous items, Default is True in PgSTAC. Important assets OR expression is required Example: https://myendpoint/collections/my-collection/tiles/1/2/3?assets=B01 https://myendpoint/collections/my-collection/tiles/1/2/3.jpg?assets=B01 https://myendpoint/collections/my-collection/tiles/WorldCRS84Quad/1/2/3@2x.png?assets=B01&assets=B02&assets=B03 https://myendpoint/collections/my-collection/tiles/WorldCRS84Quad/1/2/3?assets=B01&rescale=0,1000&colormap_name=cfastie TilesJSON \u00b6 :endpoint:/collections/{collection_id}[/{TileMatrixSetId}]/tilejson.json PathParams: collection_id : STAC Collection Identifier. TileMatrixSetId : TileMatrixSet name, default is WebMercatorQuad . OPTIONAL QueryParams: tile_format : Output image format, default is set to None and will be either JPEG or PNG depending on masked value. tile_scale : Tile size scale, default is set to 1 (256x256). OPTIONAL minzoom : Overwrite default minzoom. OPTIONAL maxzoom : Overwrite default maxzoom. OPTIONAL expression (str): rio-tiler's math expression with asset names (e.g Asset1_b1/Asset2_b1 ). asset_as_band (bool): tell rio-tiler that each asset is a 1 band dataset, so expression Asset1/Asset2 can be passed. asset_bidx (array[str]): Per asset band math expression (e.g Asset1|1;2;3 ). nodata (str, int, float): Overwrite internal Nodata value. unscale (bool): Apply dataset internal Scale/Offset. resampling (str): RasterIO resampling algorithm. Defaults to nearest . reproject (str): WarpKernel resampling algorithm (only used when doing re-projection). Defaults to nearest . algorithm (str): Custom algorithm name (e.g hillshade ). algorithm_params (str): JSON encoded algorithm parameters. rescale (array[str]): Comma (',') delimited Min,Max range (e.g rescale=0,1000 , rescale=0,1000&rescale=0,3000&rescale=0,2000 ). color_formula (str): rio-color formula. colormap (str): JSON encoded custom Colormap. colormap_name (str): rio-tiler color map name. return_mask (bool): Add mask to the output data. Default is True. buffer (float): Buffer on each side of the given tile. It must be a multiple of 0.5 . Output tilesize will be expanded to tilesize + 2 * buffer (e.g 0.5 = 257x257, 1.0 = 258x258). padding (int): Padding to apply to each tile edge. Helps reduce resampling artefacts along edges. Defaults to 0 pixel_selection (str): Pixel selection method ( cogeotiff.github.io/rio-tiler/mosaic/ ). scan_limit (int): Return as soon as we scan N items, Default is 10,000 in PgSTAC. items_limit (int): Return as soon as we have N items per geometry, Default is 100 in PgSTAC. time_limit (int): Return after N seconds to avoid long requests, Default is 5sec in PgSTAC. exitwhenfull (bool): Return as soon as the geometry is fully covered, Default is True in PgSTAC. skipcovered (bool): Skip any items that would show up completely under the previous items, Default is True in PgSTAC. Important assets OR expression is required Example: https://myendpoint/collections/my-collection/tilejson.json?assets=B01 https://myendpoint/collections/my-collection/tilejson.json?assets=B01&tile_format=png https://myendpoint/collections/my-collection/WorldCRS84Quad/tilejson.json?assets=B01&tile_scale=2 WMTS \u00b6 :endpoint:/collections/{collection_id}[/{TileMatrixSetId}]/WMTSCapabilities.xml PathParams: collection_id : STAC Collection Identifier. TileMatrixSetId : TileMatrixSet name, default is WebMercatorQuad . OPTIONAL QueryParams: tile_format : Output image format, default is set to PNG. tile_scale : Tile size scale, default is set to 1 (256x256). OPTIONAL minzoom : Overwrite default minzoom. OPTIONAL maxzoom : Overwrite default maxzoom. OPTIONAL Important additional query-parameters will be forwarded to the tile URL. If no defaults mosaic metadata, assets OR expression will be required Example: https://myendpoint/collections/my-collection/WMTSCapabilities.xml?assets=B01 https://myendpoint/collections/my-collection/WMTSCapabilities.xml?assets=B01&tile_format=png https://myendpoint/collections/my-collection/WorldCRS84Quad/WMTSCapabilities.xml?assets=B01&tile_scale=2 Assets \u00b6 :endpoint:/collections/{collection_id}/tiles/[{TileMatrixSetId}]/{z}/{x}/{y}/assets PathParams: collection_id : STAC Collection Identifier. TileMatrixSetId : TileMatrixSet name, default is WebMercatorQuad . OPTIONAL z : Tile's zoom level. x : Tile's column. y : Tile's row. QueryParams: scan_limit (int): Return as soon as we scan N items, Default is 10,000 in PgSTAC. items_limit (int): Return as soon as we have N items per geometry, Default is 100 in PgSTAC. time_limit (int): Return after N seconds to avoid long requests, Default is 5sec in PgSTAC. exitwhenfull (bool): Return as soon as the geometry is fully covered, Default is True in PgSTAC. skipcovered (bool): Skip any items that would show up completely under the previous items, Default is True in PgSTAC. Example: https://myendpoint/collections/my-collection/tiles/0/0/0/assets :endpoint:/collections/{collection_id}/{lon},{lat}/assets PathParams: collection_id : STAC Collection Identifier. lon : Longitude (in WGS84 CRS). lat : Latitude (in WGS84 CRS). QueryParams: scan_limit (int): Return as soon as we scan N items, Default is 10,000 in PgSTAC. items_limit (int): Return as soon as we have N items per geometry, Default is 100 in PgSTAC. time_limit (int): Return after N seconds to avoid long requests, Default is 5sec in PgSTAC. exitwhenfull (bool): Return as soon as the geometry is fully covered, Default is True in PgSTAC. skipcovered (bool): Skip any items that would show up completely under the previous items, Default is True in PgSTAC. Example: https://myendpoint/collections/my-collection/0.0,0.0/assets Statistics \u00b6 :endpoint:/collections/{collection_id}/statistics - [POST] Body: feature (JSON): A valid GeoJSON feature or FeatureCollection PathParams: collection_id : STAC Collection Identifier. QueryParams: assets (array[str]): asset names. expression (str): rio-tiler's math expression with asset names (e.g Asset1_b1/Asset2_b1 ). asset_as_band (bool): tell rio-tiler that each asset is a 1 band dataset, so expression Asset1/Asset2 can be passed. asset_bidx (array[str]): Per asset band math expression (e.g Asset1|1;2;3 ). coord_crs (str): Coordinate Reference System of the input geometry. Default to epsg:4326 . dst_crs (str): Output Coordinate Reference System. Default to coord_crs . max_size (int): Max image size from which to calculate statistics. height (int): Force image height from which to calculate statistics. width (int): Force image width from which to calculate statistics. nodata : Overwrite internal Nodata value. OPTIONAL unscale (bool): Apply dataset internal Scale/Offset. resampling (str): RasterIO resampling algorithm. Defaults to nearest . reproject (str): WarpKernel resampling algorithm (only used when doing re-projection). Defaults to nearest . algorithm (str): Custom algorithm name (e.g hillshade ). algorithm_params (str): JSON encoded algorithm parameters. categorical (bool): Return statistics for categorical dataset, default is false. c (array[float]): Pixels values for categories. p (array[int]): Percentile values. histogram_bins (str): Histogram bins. histogram_range (str): Comma (',') delimited Min,Max histogram bounds. pixel_selection (str): Pixel selection method ( cogeotiff.github.io/rio-tiler/mosaic/ ). scan_limit (int): Return as soon as we scan N items, Default is 10,000 in PgSTAC. items_limit (int): Return as soon as we have N items per geometry, Default is 100 in PgSTAC. time_limit (int): Return after N seconds to avoid long requests, Default is 5sec in PgSTAC. exitwhenfull (bool): Return as soon as the geometry is fully covered, Default is True in PgSTAC. skipcovered (bool): Skip any items that would show up completely under the previous items, Default is True in PgSTAC. Important if height and width are provided max_size will be ignored. Example: https://myendpoint/collections/my-collection/statistics?assets=B01 BBOX/Feature \u00b6 :endpoint:/collections/{collection_id}/bbox/{minx},{miny},{maxx},{maxy}.{format} :endpoint:/collections/{collection_id}/bbox/{minx},{miny},{maxx},{maxy}/{width}x{height}.{format} PathParams: collection_id : STAC Collection Identifier. minx,miny,maxx,maxy (str): Comma (',') delimited bounding box in WGS84. format (str): Output image format. height (int): Force output image height. width (int): Force output image width. QueryParams: assets (array[str]): asset names. expression (str): rio-tiler's math expression with asset names (e.g Asset1_b1/Asset2_b1 ). asset_as_band (bool): tell rio-tiler that each asset is a 1 band dataset, so expression Asset1/Asset2 can be passed. asset_bidx (array[str]): Per asset band math expression (e.g Asset1|1;2;3 ). coord_crs (str): Coordinate Reference System of the input coordinates. Default to epsg:4326 . dst_crs (str): Output Coordinate Reference System. Default to coord_crs . max_size (int): Max image size. nodata : Overwrite internal Nodata value. OPTIONAL unscale (bool): Apply dataset internal Scale/Offset. resampling (str): RasterIO resampling algorithm. Defaults to nearest . reproject (str): WarpKernel resampling algorithm (only used when doing re-projection). Defaults to nearest . algorithm (str): Custom algorithm name (e.g hillshade ). algorithm_params (str): JSON encoded algorithm parameters. rescale (array[str]): Comma (',') delimited Min,Max range (e.g rescale=0,1000 , rescale=0,1000&rescale=0,3000&rescale=0,2000 ). color_formula (str): rio-color formula. colormap (str): JSON encoded custom Colormap. colormap_name (str): rio-tiler color map name. return_mask (bool): Add mask to the output data. Default is True. pixel_selection (str): Pixel selection method ( cogeotiff.github.io/rio-tiler/mosaic/ ). scan_limit (int): Return as soon as we scan N items, Default is 10,000 in PgSTAC. items_limit (int): Return as soon as we have N items per geometry, Default is 100 in PgSTAC. time_limit (int): Return after N seconds to avoid long requests, Default is 5sec in PgSTAC. exitwhenfull (bool): Return as soon as the geometry is fully covered, Default is True in PgSTAC. skipcovered (bool): Skip any items that would show up completely under the previous items, Default is True in PgSTAC. Important if height and width are provided max_size will be ignored. Example: https://myendpoint/collections/my-collection/bbox/0,0,10,10.png?assets=B01 https://myendpoint/collections/my-collection/bbox/0,0,10,10/400x300.png?assets=B01 :endpoint:/collections/{collection_id}/feature[/{width}x{height}][].{format}] - [POST] Body: feature (JSON): A valid GeoJSON feature (Polygon or MultiPolygon) PathParams: collection_id : STAC Collection Identifier. height (int): Force output image height. Optional width (int): Force output image width. Optional format (str): Output image format, default is set to None and will be either JPEG or PNG depending on masked value. Optional QueryParams: assets (array[str]): asset names. expression (str): rio-tiler's math expression with asset names (e.g Asset1_b1/Asset2_b1 ). asset_as_band (bool): tell rio-tiler that each asset is a 1 band dataset, so expression Asset1/Asset2 can be passed. asset_bidx (array[str]): Per asset band math expression (e.g Asset1|1;2;3 ). coord_crs (str): Coordinate Reference System of the input geometry. Default to epsg:4326 . dst_crs (str): Output Coordinate Reference System. Default to coord_crs . max_size (int): Max image size. nodata : Overwrite internal Nodata value. OPTIONAL unscale (bool): Apply dataset internal Scale/Offset. resampling (str): RasterIO resampling algorithm. Defaults to nearest . reproject (str): WarpKernel resampling algorithm (only used when doing re-projection). Defaults to nearest . algorithm (str): Custom algorithm name (e.g hillshade ). algorithm_params (str): JSON encoded algorithm parameters. rescale (array[str]): Comma (',') delimited Min,Max range (e.g rescale=0,1000 , rescale=0,1000&rescale=0,3000&rescale=0,2000 ). color_formula (str): rio-color formula. colormap (str): JSON encoded custom Colormap. colormap_name (str): rio-tiler color map name. return_mask (bool): Add mask to the output data. Default is True. pixel_selection (str): Pixel selection method ( cogeotiff.github.io/rio-tiler/mosaic/ ). scan_limit (int): Return as soon as we scan N items, Default is 10,000 in PgSTAC. items_limit (int): Return as soon as we have N items per geometry, Default is 100 in PgSTAC. time_limit (int): Return after N seconds to avoid long requests, Default is 5sec in PgSTAC. exitwhenfull (bool): Return as soon as the geometry is fully covered, Default is True in PgSTAC. skipcovered (bool): Skip any items that would show up completely under the previous items, Default is True in PgSTAC. Important if height and width are provided max_size will be ignored. Example: https://myendpoint/collections/my-collection/feature?assets=B01 https://myendpoint/collections/my-collection/feature.png?assets=B01f https://myendpoint/collections/my-collection/feature/100x100.png?assets=B01","title":"Collections"},{"location":"endpoints/collections_endpoints/#stac-collections-endpoints","text":"Method URL Output Description GET /collections/{collection_id}/{lon},{lat}/assets JSON Return a list of assets which overlap a given point GET /collections/{collection_id}/tiles[/{TileMatrixSetId}]/{z}/{x}/{Y}/assets JSON Return a list of assets which overlap a given tile GET /collections/{collection_id}/tiles[/{TileMatrixSetId}]/{z}/{x}/{y}[@{scale}x][.{format}] image/bin Create a web map tile image for a collection and a tile index GET /collections/{collection_id}[/{TileMatrixSetId}]/tilejson.json JSON ( TileJSON ) Return a Mapbox TileJSON document GET /collections/{collection_id}[/{TileMatrixSetId}]/WMTSCapabilities.xml XML return OGC WMTS Get Capabilities GET /collections/{collection_id}[/{TileMatrixSetId}]/map HTML simple map viewer POST /collections/{collection_id}/statistics GeoJSON ( Statistics ) Return statistics for geojson features GET /collections/{collection_id}/bbox/{minx},{miny},{maxx},{maxy}[/{width}x{height}].{format} image/bin Create an image from part of a dataset POST /collections/{collection_id}/feature[/{width}x{height}][.{format}] image/bin Create an image from a GeoJSON feature","title":"STAC Collections endpoints"},{"location":"endpoints/collections_endpoints/#tiles","text":":endpoint:/collections/{collection_id}/tiles[/{TileMatrixSetId}]/{z}/{x}/{y}[@{scale}x][.{format}] PathParams: collection_id : STAC Collection Identifier. TileMatrixSetId : TileMatrixSet name, default is WebMercatorQuad . OPTIONAL z : Tile's zoom level. x : Tile's column. y : Tile's row. scale : Tile size scale, default is set to 1 (256x256). OPTIONAL format : Output image format, default is set to None and will be either JPEG or PNG depending on masked value. OPTIONAL QueryParams: assets (array[str]): asset names. expression (str): rio-tiler's math expression with asset names (e.g Asset1_b1/Asset2_b1 ). asset_as_band (bool): tell rio-tiler that each asset is a 1 band dataset, so expression Asset1/Asset2 can be passed. asset_bidx (array[str]): Per asset band math expression (e.g Asset1|1;2;3 ). nodata : Overwrite internal Nodata value. OPTIONAL unscale (bool): Apply dataset internal Scale/Offset. resampling (str): RasterIO resampling algorithm. Defaults to nearest . reproject (str): WarpKernel resampling algorithm (only used when doing re-projection). Defaults to nearest . algorithm (str): Custom algorithm name (e.g hillshade ). algorithm_params (str): JSON encoded algorithm parameters. rescale (array[str]): Comma (',') delimited Min,Max range (e.g rescale=0,1000 , rescale=0,1000&rescale=0,3000&rescale=0,2000 ). color_formula (str): rio-color formula. colormap (str): JSON encoded custom Colormap. colormap_name (str): rio-tiler color map name. return_mask (bool): Add mask to the output data. Default is True. buffer (float): Buffer on each side of the given tile. It must be a multiple of 0.5 . Output tilesize will be expanded to tilesize + 2 * buffer (e.g 0.5 = 257x257, 1.0 = 258x258). padding (int): Padding to apply to each tile edge. Helps reduce resampling artefacts along edges. Defaults to 0 pixel_selection (str): Pixel selection method ( cogeotiff.github.io/rio-tiler/mosaic/ ). scan_limit (int): Return as soon as we scan N items, Default is 10,000 in PgSTAC. items_limit (int): Return as soon as we have N items per geometry, Default is 100 in PgSTAC. time_limit (int): Return after N seconds to avoid long requests, Default is 5sec in PgSTAC. exitwhenfull (bool): Return as soon as the geometry is fully covered, Default is True in PgSTAC. skipcovered (bool): Skip any items that would show up completely under the previous items, Default is True in PgSTAC. Important assets OR expression is required Example: https://myendpoint/collections/my-collection/tiles/1/2/3?assets=B01 https://myendpoint/collections/my-collection/tiles/1/2/3.jpg?assets=B01 https://myendpoint/collections/my-collection/tiles/WorldCRS84Quad/1/2/3@2x.png?assets=B01&assets=B02&assets=B03 https://myendpoint/collections/my-collection/tiles/WorldCRS84Quad/1/2/3?assets=B01&rescale=0,1000&colormap_name=cfastie","title":"Tiles"},{"location":"endpoints/collections_endpoints/#tilesjson","text":":endpoint:/collections/{collection_id}[/{TileMatrixSetId}]/tilejson.json PathParams: collection_id : STAC Collection Identifier. TileMatrixSetId : TileMatrixSet name, default is WebMercatorQuad . OPTIONAL QueryParams: tile_format : Output image format, default is set to None and will be either JPEG or PNG depending on masked value. tile_scale : Tile size scale, default is set to 1 (256x256). OPTIONAL minzoom : Overwrite default minzoom. OPTIONAL maxzoom : Overwrite default maxzoom. OPTIONAL expression (str): rio-tiler's math expression with asset names (e.g Asset1_b1/Asset2_b1 ). asset_as_band (bool): tell rio-tiler that each asset is a 1 band dataset, so expression Asset1/Asset2 can be passed. asset_bidx (array[str]): Per asset band math expression (e.g Asset1|1;2;3 ). nodata (str, int, float): Overwrite internal Nodata value. unscale (bool): Apply dataset internal Scale/Offset. resampling (str): RasterIO resampling algorithm. Defaults to nearest . reproject (str): WarpKernel resampling algorithm (only used when doing re-projection). Defaults to nearest . algorithm (str): Custom algorithm name (e.g hillshade ). algorithm_params (str): JSON encoded algorithm parameters. rescale (array[str]): Comma (',') delimited Min,Max range (e.g rescale=0,1000 , rescale=0,1000&rescale=0,3000&rescale=0,2000 ). color_formula (str): rio-color formula. colormap (str): JSON encoded custom Colormap. colormap_name (str): rio-tiler color map name. return_mask (bool): Add mask to the output data. Default is True. buffer (float): Buffer on each side of the given tile. It must be a multiple of 0.5 . Output tilesize will be expanded to tilesize + 2 * buffer (e.g 0.5 = 257x257, 1.0 = 258x258). padding (int): Padding to apply to each tile edge. Helps reduce resampling artefacts along edges. Defaults to 0 pixel_selection (str): Pixel selection method ( cogeotiff.github.io/rio-tiler/mosaic/ ). scan_limit (int): Return as soon as we scan N items, Default is 10,000 in PgSTAC. items_limit (int): Return as soon as we have N items per geometry, Default is 100 in PgSTAC. time_limit (int): Return after N seconds to avoid long requests, Default is 5sec in PgSTAC. exitwhenfull (bool): Return as soon as the geometry is fully covered, Default is True in PgSTAC. skipcovered (bool): Skip any items that would show up completely under the previous items, Default is True in PgSTAC. Important assets OR expression is required Example: https://myendpoint/collections/my-collection/tilejson.json?assets=B01 https://myendpoint/collections/my-collection/tilejson.json?assets=B01&tile_format=png https://myendpoint/collections/my-collection/WorldCRS84Quad/tilejson.json?assets=B01&tile_scale=2","title":"TilesJSON"},{"location":"endpoints/collections_endpoints/#wmts","text":":endpoint:/collections/{collection_id}[/{TileMatrixSetId}]/WMTSCapabilities.xml PathParams: collection_id : STAC Collection Identifier. TileMatrixSetId : TileMatrixSet name, default is WebMercatorQuad . OPTIONAL QueryParams: tile_format : Output image format, default is set to PNG. tile_scale : Tile size scale, default is set to 1 (256x256). OPTIONAL minzoom : Overwrite default minzoom. OPTIONAL maxzoom : Overwrite default maxzoom. OPTIONAL Important additional query-parameters will be forwarded to the tile URL. If no defaults mosaic metadata, assets OR expression will be required Example: https://myendpoint/collections/my-collection/WMTSCapabilities.xml?assets=B01 https://myendpoint/collections/my-collection/WMTSCapabilities.xml?assets=B01&tile_format=png https://myendpoint/collections/my-collection/WorldCRS84Quad/WMTSCapabilities.xml?assets=B01&tile_scale=2","title":"WMTS"},{"location":"endpoints/collections_endpoints/#assets","text":":endpoint:/collections/{collection_id}/tiles/[{TileMatrixSetId}]/{z}/{x}/{y}/assets PathParams: collection_id : STAC Collection Identifier. TileMatrixSetId : TileMatrixSet name, default is WebMercatorQuad . OPTIONAL z : Tile's zoom level. x : Tile's column. y : Tile's row. QueryParams: scan_limit (int): Return as soon as we scan N items, Default is 10,000 in PgSTAC. items_limit (int): Return as soon as we have N items per geometry, Default is 100 in PgSTAC. time_limit (int): Return after N seconds to avoid long requests, Default is 5sec in PgSTAC. exitwhenfull (bool): Return as soon as the geometry is fully covered, Default is True in PgSTAC. skipcovered (bool): Skip any items that would show up completely under the previous items, Default is True in PgSTAC. Example: https://myendpoint/collections/my-collection/tiles/0/0/0/assets :endpoint:/collections/{collection_id}/{lon},{lat}/assets PathParams: collection_id : STAC Collection Identifier. lon : Longitude (in WGS84 CRS). lat : Latitude (in WGS84 CRS). QueryParams: scan_limit (int): Return as soon as we scan N items, Default is 10,000 in PgSTAC. items_limit (int): Return as soon as we have N items per geometry, Default is 100 in PgSTAC. time_limit (int): Return after N seconds to avoid long requests, Default is 5sec in PgSTAC. exitwhenfull (bool): Return as soon as the geometry is fully covered, Default is True in PgSTAC. skipcovered (bool): Skip any items that would show up completely under the previous items, Default is True in PgSTAC. Example: https://myendpoint/collections/my-collection/0.0,0.0/assets","title":"Assets"},{"location":"endpoints/collections_endpoints/#statistics","text":":endpoint:/collections/{collection_id}/statistics - [POST] Body: feature (JSON): A valid GeoJSON feature or FeatureCollection PathParams: collection_id : STAC Collection Identifier. QueryParams: assets (array[str]): asset names. expression (str): rio-tiler's math expression with asset names (e.g Asset1_b1/Asset2_b1 ). asset_as_band (bool): tell rio-tiler that each asset is a 1 band dataset, so expression Asset1/Asset2 can be passed. asset_bidx (array[str]): Per asset band math expression (e.g Asset1|1;2;3 ). coord_crs (str): Coordinate Reference System of the input geometry. Default to epsg:4326 . dst_crs (str): Output Coordinate Reference System. Default to coord_crs . max_size (int): Max image size from which to calculate statistics. height (int): Force image height from which to calculate statistics. width (int): Force image width from which to calculate statistics. nodata : Overwrite internal Nodata value. OPTIONAL unscale (bool): Apply dataset internal Scale/Offset. resampling (str): RasterIO resampling algorithm. Defaults to nearest . reproject (str): WarpKernel resampling algorithm (only used when doing re-projection). Defaults to nearest . algorithm (str): Custom algorithm name (e.g hillshade ). algorithm_params (str): JSON encoded algorithm parameters. categorical (bool): Return statistics for categorical dataset, default is false. c (array[float]): Pixels values for categories. p (array[int]): Percentile values. histogram_bins (str): Histogram bins. histogram_range (str): Comma (',') delimited Min,Max histogram bounds. pixel_selection (str): Pixel selection method ( cogeotiff.github.io/rio-tiler/mosaic/ ). scan_limit (int): Return as soon as we scan N items, Default is 10,000 in PgSTAC. items_limit (int): Return as soon as we have N items per geometry, Default is 100 in PgSTAC. time_limit (int): Return after N seconds to avoid long requests, Default is 5sec in PgSTAC. exitwhenfull (bool): Return as soon as the geometry is fully covered, Default is True in PgSTAC. skipcovered (bool): Skip any items that would show up completely under the previous items, Default is True in PgSTAC. Important if height and width are provided max_size will be ignored. Example: https://myendpoint/collections/my-collection/statistics?assets=B01","title":"Statistics"},{"location":"endpoints/collections_endpoints/#bboxfeature","text":":endpoint:/collections/{collection_id}/bbox/{minx},{miny},{maxx},{maxy}.{format} :endpoint:/collections/{collection_id}/bbox/{minx},{miny},{maxx},{maxy}/{width}x{height}.{format} PathParams: collection_id : STAC Collection Identifier. minx,miny,maxx,maxy (str): Comma (',') delimited bounding box in WGS84. format (str): Output image format. height (int): Force output image height. width (int): Force output image width. QueryParams: assets (array[str]): asset names. expression (str): rio-tiler's math expression with asset names (e.g Asset1_b1/Asset2_b1 ). asset_as_band (bool): tell rio-tiler that each asset is a 1 band dataset, so expression Asset1/Asset2 can be passed. asset_bidx (array[str]): Per asset band math expression (e.g Asset1|1;2;3 ). coord_crs (str): Coordinate Reference System of the input coordinates. Default to epsg:4326 . dst_crs (str): Output Coordinate Reference System. Default to coord_crs . max_size (int): Max image size. nodata : Overwrite internal Nodata value. OPTIONAL unscale (bool): Apply dataset internal Scale/Offset. resampling (str): RasterIO resampling algorithm. Defaults to nearest . reproject (str): WarpKernel resampling algorithm (only used when doing re-projection). Defaults to nearest . algorithm (str): Custom algorithm name (e.g hillshade ). algorithm_params (str): JSON encoded algorithm parameters. rescale (array[str]): Comma (',') delimited Min,Max range (e.g rescale=0,1000 , rescale=0,1000&rescale=0,3000&rescale=0,2000 ). color_formula (str): rio-color formula. colormap (str): JSON encoded custom Colormap. colormap_name (str): rio-tiler color map name. return_mask (bool): Add mask to the output data. Default is True. pixel_selection (str): Pixel selection method ( cogeotiff.github.io/rio-tiler/mosaic/ ). scan_limit (int): Return as soon as we scan N items, Default is 10,000 in PgSTAC. items_limit (int): Return as soon as we have N items per geometry, Default is 100 in PgSTAC. time_limit (int): Return after N seconds to avoid long requests, Default is 5sec in PgSTAC. exitwhenfull (bool): Return as soon as the geometry is fully covered, Default is True in PgSTAC. skipcovered (bool): Skip any items that would show up completely under the previous items, Default is True in PgSTAC. Important if height and width are provided max_size will be ignored. Example: https://myendpoint/collections/my-collection/bbox/0,0,10,10.png?assets=B01 https://myendpoint/collections/my-collection/bbox/0,0,10,10/400x300.png?assets=B01 :endpoint:/collections/{collection_id}/feature[/{width}x{height}][].{format}] - [POST] Body: feature (JSON): A valid GeoJSON feature (Polygon or MultiPolygon) PathParams: collection_id : STAC Collection Identifier. height (int): Force output image height. Optional width (int): Force output image width. Optional format (str): Output image format, default is set to None and will be either JPEG or PNG depending on masked value. Optional QueryParams: assets (array[str]): asset names. expression (str): rio-tiler's math expression with asset names (e.g Asset1_b1/Asset2_b1 ). asset_as_band (bool): tell rio-tiler that each asset is a 1 band dataset, so expression Asset1/Asset2 can be passed. asset_bidx (array[str]): Per asset band math expression (e.g Asset1|1;2;3 ). coord_crs (str): Coordinate Reference System of the input geometry. Default to epsg:4326 . dst_crs (str): Output Coordinate Reference System. Default to coord_crs . max_size (int): Max image size. nodata : Overwrite internal Nodata value. OPTIONAL unscale (bool): Apply dataset internal Scale/Offset. resampling (str): RasterIO resampling algorithm. Defaults to nearest . reproject (str): WarpKernel resampling algorithm (only used when doing re-projection). Defaults to nearest . algorithm (str): Custom algorithm name (e.g hillshade ). algorithm_params (str): JSON encoded algorithm parameters. rescale (array[str]): Comma (',') delimited Min,Max range (e.g rescale=0,1000 , rescale=0,1000&rescale=0,3000&rescale=0,2000 ). color_formula (str): rio-color formula. colormap (str): JSON encoded custom Colormap. colormap_name (str): rio-tiler color map name. return_mask (bool): Add mask to the output data. Default is True. pixel_selection (str): Pixel selection method ( cogeotiff.github.io/rio-tiler/mosaic/ ). scan_limit (int): Return as soon as we scan N items, Default is 10,000 in PgSTAC. items_limit (int): Return as soon as we have N items per geometry, Default is 100 in PgSTAC. time_limit (int): Return after N seconds to avoid long requests, Default is 5sec in PgSTAC. exitwhenfull (bool): Return as soon as the geometry is fully covered, Default is True in PgSTAC. skipcovered (bool): Skip any items that would show up completely under the previous items, Default is True in PgSTAC. Important if height and width are provided max_size will be ignored. Example: https://myendpoint/collections/my-collection/feature?assets=B01 https://myendpoint/collections/my-collection/feature.png?assets=B01f https://myendpoint/collections/my-collection/feature/100x100.png?assets=B01","title":"BBOX/Feature"},{"location":"endpoints/items_endpoints/","text":"STAC Items endpoints \u00b6 The Item endpoints are created using TiTiler's MultiBaseTilerFactory Method URL Output Description GET /collections/{collection_id}/items/{item_id}/bounds JSON ( Bounds ) return dataset's bounds GET /collections/{collection_id}/items/{item_id}/assets JSON return the list of available assets GET /collections/{collection_id}/items/{item_id}/info JSON ( Info ) return assets basic info GET /collections/{collection_id}/items/{item_id}/info.geojson GeoJSON ( InfoGeoJSON ) return assets basic info as a GeoJSON feature GET /collections/{collection_id}/items/{item_id}/asset_statistics JSON ( Statistics ) return per asset statistics GET /collections/{collection_id}/items/{item_id}/statistics JSON ( Statistics ) return assets statistics (merged) POST /collections/{collection_id}/items/{item_id}/statistics GeoJSON ( Statistics ) return assets statistics for a GeoJSON (merged) GET /collections/{collection_id}/items/{item_id}/tiles[/{TileMatrixSetId}]/{z}/{x}/{y}[@{scale}x][.{format}] image/bin create a web map tile image from assets GET /collections/{collection_id}/items/{item_id}[/{TileMatrixSetId}]/tilejson.json JSON ( TileJSON ) return a Mapbox TileJSON document GET /collections/{collection_id}/items/{item_id}[/{TileMatrixSetId}]/WMTSCapabilities.xml XML return OGC WMTS Get Capabilities GET /collections/{collection_id}/items/{item_id}[/{TileMatrixSetId}]/map HTML simple map viewer GET /collections/{collection_id}/items/{item_id}/point/{lon},{lat} JSON ( Point ) return pixel values from assets GET /collections/{collection_id}/items/{item_id}/preview[.{format}] image/bin create a preview image from assets GET /collections/{collection_id}/items/{item_id}/bbox/{minx},{miny},{maxx},{maxy}[/{width}x{height}].{format} image/bin create an image from part of assets POST /collections/{collection_id}/items/{item_id}/feature[/{width}x{height}][.{format}] image/bin create an image from a geojson feature intersecting assets Tiles \u00b6 :endpoint:/collections/{collection_id}/items/{item_id}/tiles[/{TileMatrixSetId}]/{z}/{x}/{y}[@{scale}x][.{format}] PathParams: collection_id (str): STAC Collection Identifier. item_id (str): STAC Item Identifier. TileMatrixSetId (str): TileMatrixSet name, default is WebMercatorQuad . Optional z (int): TMS tile's zoom level. x (int): TMS tile's column. y (int): TMS tile's row. scale (int): Tile size scale, default is set to 1 (256x256). Optional format (str): Output image format, default is set to None and will be either JPEG or PNG depending on masked value. Optional QueryParams: assets (array[str]): asset names. expression (str): rio-tiler's math expression with asset names (e.g Asset1_b1/Asset2_b1 ). asset_as_band (bool): tell rio-tiler that each asset is a 1 band dataset, so expression Asset1/Asset2 can be passed. asset_bidx (array[str]): Per asset band math expression (e.g Asset1|1;2;3 ). nodata (str, int, float): Overwrite internal Nodata value. unscale (bool): Apply dataset internal Scale/Offset. resampling (str): RasterIO resampling algorithm. Defaults to nearest . reproject (str): WarpKernel resampling algorithm (only used when doing re-projection). Defaults to nearest . algorithm (str): Custom algorithm name (e.g hillshade ). algorithm_params (str): JSON encoded algorithm parameters. rescale (array[str]): Comma (',') delimited Min,Max range (e.g rescale=0,1000 , rescale=0,1000&rescale=0,3000&rescale=0,2000 ). color_formula (str): rio-color formula. colormap (str): JSON encoded custom Colormap. colormap_name (str): rio-tiler color map name. return_mask (bool): Add mask to the output data. Default is True. buffer (float): Buffer on each side of the given tile. It must be a multiple of 0.5 . Output tilesize will be expanded to tilesize + 2 * buffer (e.g 0.5 = 257x257, 1.0 = 258x258). padding (int): Padding to apply to each tile edge. Helps reduce resampling artefacts along edges. Defaults to 0 algorithm (str): Custom algorithm name (e.g hillshade ). algorithm_params (str): JSON encoded algorithm parameters. Important assets OR expression is required Example: https://myendpoint/collections/mycollection/items/oneitem/tiles/1/2/3?assets=B01&assets=B00 https://myendpoint/collections/mycollection/items/oneitem/tiles/1/2/3.jpg?assets=B01 https://myendpoint/collections/mycollection/items/oneitem/tiles/WorldCRS84Quad/1/2/3@2x.png?assets=B01 https://myendpoint/collections/mycollection/items/oneitem/tiles/WorldCRS84Quad/1/2/3?expression=B01/B02&rescale=0,1000&colormap_name=cfastie&asset_as_band=True Preview \u00b6 :endpoint:/collections/{collection_id}/items/{item_id}/preview[.{format}] PathParams: collection_id (str): STAC Collection Identifier. item_id (str): STAC Item Identifier. format : Output image format, default is set to None and will be either JPEG or PNG depending on masked value. Optional QueryParams: assets (array[str]): asset names. expression (str): rio-tiler's math expression with asset names (e.g Asset1_b1/Asset2_b1 ). asset_as_band (bool): tell rio-tiler that each asset is a 1 band dataset, so expression Asset1/Asset2 can be passed. asset_bidx (array[str]): Per asset band math expression (e.g Asset1|1;2;3 ). max_size (int): Max image size, default is 1024. height (int): Force output image height. width (int): Force output image width. dst_crs (str): Output Coordinate Reference System. Default to dataset's CRS. nodata (str, int, float): Overwrite internal Nodata value. unscale (bool): Apply dataset internal Scale/Offset. algorithm (str): Custom algorithm name (e.g hillshade ). algorithm_params (str): JSON encoded algorithm parameters. resampling (str): RasterIO resampling algorithm. Defaults to nearest . reproject (str): WarpKernel resampling algorithm (only used when doing re-projection). Defaults to nearest . rescale (array[str]): Comma (',') delimited Min,Max range (e.g rescale=0,1000 , rescale=0,1000&rescale=0,3000&rescale=0,2000 ). color_formula (str): rio-color formula. colormap (str): JSON encoded custom Colormap. colormap_name (str): rio-tiler color map name. return_mask (bool): Add mask to the output data. Default is True. algorithm (str): Custom algorithm name (e.g hillshade ). algorithm_params (str): JSON encoded algorithm parameters. Important assets OR expression is required if height and width are provided max_size will be ignored. Example: https://myendpoint/collections/mycollection/items/oneitem/preview?assets=B01 https://myendpoint/collections/mycollection/items/oneitem/preview.jpg?assets=B01 https://myendpoint/collections/mycollection/items/oneitem/preview?assets=B01&rescale=0,1000&colormap_name=cfastie BBOX/Feature \u00b6 :endpoint:/collections/{collection_id}/items/{item_id}/bbox/{minx},{miny},{maxx},{maxy}.{format} :endpoint:/collections/{collection_id}/items/{item_id}/bbox/{minx},{miny},{maxx},{maxy}/{width}x{height}.{format} PathParams: collection_id (str): STAC Collection Identifier. item_id (str): STAC Item Identifier. minx,miny,maxx,maxy (str): Comma (',') delimited bounding box in WGS84. height (int): Force output image height. Optional width (int): Force output image width. Optional format (str): Output image format, default is set to None and will be either JPEG or PNG depending on masked value. Optional QueryParams: assets (array[str]): asset names. expression (str): rio-tiler's math expression with asset names (e.g Asset1_b1/Asset2_b1 ). asset_as_band (bool): tell rio-tiler that each asset is a 1 band dataset, so expression Asset1/Asset2 can be passed. asset_bidx (array[str]): Per asset band math expression (e.g Asset1|1;2;3 ). max_size (int): Max image size. coord_crs (str): Coordinate Reference System of the input coordinates. Default to epsg:4326 . dst_crs (str): Output Coordinate Reference System. Default to coord_crs . nodata (str, int, float): Overwrite internal Nodata value. unscale (bool): Apply dataset internal Scale/Offset. algorithm (str): Custom algorithm name (e.g hillshade ). algorithm_params (str): JSON encoded algorithm parameters. resampling (str): RasterIO resampling algorithm. Defaults to nearest . reproject (str): WarpKernel resampling algorithm (only used when doing re-projection). Defaults to nearest . rescale (array[str]): Comma (',') delimited Min,Max range (e.g rescale=0,1000 , rescale=0,1000&rescale=0,3000&rescale=0,2000 ). color_formula (str): rio-color formula. colormap (str): JSON encoded custom Colormap. colormap_name (str): rio-tiler color map name. return_mask (bool): Add mask to the output data. Default is True. algorithm (str): Custom algorithm name (e.g hillshade ). algorithm_params (str): JSON encoded algorithm parameters. Important assets OR expression is required if height and width are provided max_size will be ignored. Example: https://myendpoint/collections/mycollection/items/oneitem/bbox/0,0,10,10.png?assets=B01 https://myendpoint/collections/mycollection/items/oneitem/bbox/0,0,10,10.png?assets=B01&rescale=0,1000&colormap_name=cfastie :endpoint:/collections/{collection_id}/items/{item_id}/feature[/{width}x{height}][].{format}] - [POST] Body: feature (JSON): A valid GeoJSON feature (Polygon or MultiPolygon) PathParams: collection_id (str): STAC Collection Identifier. item_id (str): STAC Item Identifier. height (int): Force output image height. Optional width (int): Force output image width. Optional format (str): Output image format, default is set to None and will be either JPEG or PNG depending on masked value. Optional QueryParams: assets (array[str]): asset names. expression (str): rio-tiler's math expression with asset names (e.g Asset1_b1/Asset2_b1 ). asset_as_band (bool): tell rio-tiler that each asset is a 1 band dataset, so expression Asset1/Asset2 can be passed. asset_bidx (array[str]): Per asset band math expression (e.g Asset1|1;2;3 ). max_size (int): Max image size. coord_crs (str): Coordinate Reference System of the input coordinates. Default to epsg:4326 . dst_crs (str): Output Coordinate Reference System. Default to coord_crs . nodata (str, int, float): Overwrite internal Nodata value. unscale (bool): Apply dataset internal Scale/Offset. resampling (str): RasterIO resampling algorithm. Defaults to nearest . reproject (str): WarpKernel resampling algorithm (only used when doing re-projection). Defaults to nearest . algorithm (str): Custom algorithm name (e.g hillshade ). algorithm_params (str): JSON encoded algorithm parameters. rescale (array[str]): Comma (',') delimited Min,Max range (e.g rescale=0,1000 , rescale=0,1000&rescale=0,3000&rescale=0,2000 ). color_formula (str): rio-color formula. colormap (str): JSON encoded custom Colormap. colormap_name (str): rio-tiler color map name. return_mask (bool): Add mask to the output data. Default is True. algorithm (str): Custom algorithm name (e.g hillshade ). algorithm_params (str): JSON encoded algorithm parameters. Important assets OR expression is required if height and width are provided max_size will be ignored. Example: https://myendpoint/collections/mycollection/items/oneitem/crop?assets=B01 https://myendpoint/collections/mycollection/items/oneitem/crop.png?assets=B01 https://myendpoint/collections/mycollection/items/oneitem/100x100.png?assets=B01&rescale=0,1000&colormap_name=cfastie Point \u00b6 :endpoint:/collections/{collection_id}/items/{item_id}/point/{lon},{lat} PathParams: collection_id (str): STAC Collection Identifier. item_id (str): STAC Item Identifier. lon,lat, (str): Comma (',') delimited point Longitude and Latitude WGS84. QueryParams: assets (array[str]): asset names. expression (str): rio-tiler's math expression with asset names (e.g Asset1_b1/Asset2_b1 ). asset_as_band (bool): tell rio-tiler that each asset is a 1 band dataset, so expression Asset1/Asset2 can be passed. asset_bidx (array[str]): Per asset band math expression (e.g Asset1|1;2;3 ). nodata (str, int, float): Overwrite internal Nodata value. unscale (bool): Apply dataset internal Scale/Offset. resampling (str): RasterIO resampling algorithm. Defaults to nearest . reproject (str): WarpKernel resampling algorithm (only used when doing re-projection). Defaults to nearest . Important assets OR expression is required Example: https://myendpoint/collections/mycollection/items/oneitem/point/0,0?assets=B01 TilesJSON \u00b6 :endpoint:/collections/{collection_id}/items/{item_id}[/{TileMatrixSetId}]/tilejson.json tileJSON document PathParams: collection_id (str): STAC Collection Identifier. item_id (str): STAC Item Identifier. TileMatrixSetId : TileMatrixSet name, default is WebMercatorQuad . QueryParams: assets (array[str]): asset names. expression (str): rio-tiler's math expression with asset names (e.g Asset1_b1/Asset2_b1 ). asset_as_band (bool): tell rio-tiler that each asset is a 1 band dataset, so expression Asset1/Asset2 can be passed. asset_bidx (array[str]): Per asset band math expression (e.g Asset1|1;2;3 ). tile_format (str): Output image format, default is set to None and will be either JPEG or PNG depending on masked value. tile_scale (int): Tile size scale, default is set to 1 (256x256). minzoom (int): Overwrite default minzoom. maxzoom (int): Overwrite default maxzoom. nodata (str, int, float): Overwrite internal Nodata value. unscale (bool): Apply dataset internal Scale/Offset. resampling (str): RasterIO resampling algorithm. Defaults to nearest . reproject (str): WarpKernel resampling algorithm (only used when doing re-projection). Defaults to nearest . algorithm (str): Custom algorithm name (e.g hillshade ). algorithm_params (str): JSON encoded algorithm parameters. rescale (array[str]): Comma (',') delimited Min,Max range (e.g rescale=0,1000 , rescale=0,1000&rescale=0,3000&rescale=0,2000 ). color_formula (str): rio-color formula. colormap (str): JSON encoded custom Colormap. colormap_name (str): rio-tiler color map name. return_mask (bool): Add mask to the output data. Default is True. buffer (float): Buffer on each side of the given tile. It must be a multiple of 0.5 . Output tilesize will be expanded to tilesize + 2 * buffer (e.g 0.5 = 257x257, 1.0 = 258x258). padding (int): Padding to apply to each tile edge. Helps reduce resampling artefacts along edges. Defaults to 0 Important assets OR expression is required Example: https://myendpoint/collections/mycollection/items/oneitem/tilejson.json?assets=B01 https://myendpoint/collections/mycollection/items/oneitem/tilejson.json?assets=B01&tile_format=png https://myendpoint/collections/mycollection/items/oneitem/WorldCRS84Quad/tilejson.json?tile_scale=2&expression=B01/B02&asset_as_band=True Bounds \u00b6 :endpoint:/collections/{collection_id}/items/{item_id}/bounds - Return the bounds of the STAC item. PathParams: collection_id (str): STAC Collection Identifier. item_id (str): STAC Item Identifier. Example: https://myendpoint/collections/mycollection/items/oneitem/bounds Info \u00b6 :endpoint:/collections/{collection_id}/items/{item_id}/info - Return basic info on STAC item's COG. PathParams: collection_id (str): STAC Collection Identifier. item_id (str): STAC Item Identifier. QueryParams: assets (array[str]): asset names. Default to all available assets. Example: https://myendpoint/collections/mycollection/items/oneitem/info?assets=B01 :endpoint:/collections/{collection_id}/items/{item_id}/info.geojson - Return basic info on STAC item's COG as a GeoJSON feature PathParams: collection_id (str): STAC Collection Identifier. item_id (str): STAC Item Identifier. QueryParams: collection (str): STAC Collection Identifier. Required item (str): STAC Item Identifier. Required assets (array[str]): asset names. Default to all available assets. Example: https://myendpoint/collections/mycollection/items/oneitem/info.geojson?assets=B01 :endpoint:/collections/{collection_id}/items/{item_id}/assets - Return the list of available assets Available Assets \u00b6 :endpoint:/collections/{collection_id}/items/{item_id}/assets - Return a list of available assets PathParams: collection_id (str): STAC Collection Identifier. item_id (str): STAC Item Identifier. Example: https://myendpoint/collections/mycollection/items/oneitem/assets Statistics \u00b6 :endpoint:/collections/{collection_id}/items/{item_id}/asset_statistics - [GET] PathParams: collection_id (str): STAC Collection Identifier. item_id (str): STAC Item Identifier. QueryParams: collection (str): STAC Collection Identifier. Required item (str): STAC Item Identifier. Required assets (array[str]): asset names. Default to all available assets. asset_bidx (array[str]): Per asset band math expression (e.g Asset1|1;2;3 ). asset_expression (array[str]): Per asset band math expression (e.g Asset1|b1\\*b2 ). max_size (int): Max image size from which to calculate statistics, default is 1024. height (int): Force image height from which to calculate statistics. width (int): Force image width from which to calculate statistics. nodata (str, int, float): Overwrite internal Nodata value. unscale (bool): Apply dataset internal Scale/Offset. resampling (str): RasterIO resampling algorithm. Defaults to nearest . categorical (bool): Return statistics for categorical dataset, default is false. c (array[float]): Pixels values for categories. p (array[int]): Percentile values. histogram_bins (str): Histogram bins. histogram_range (str): Comma (',') delimited Min,Max histogram bounds Example: https://myendpoint/collections/mycollection/items/oneitem/statistics?assets=B01&categorical=true&c=1&c=2&c=3&p=2&p98 :endpoint:/collections/{collection_id}/items/{item_id}/statistics - [GET] PathParams: collection_id (str): STAC Collection Identifier. item_id (str): STAC Item Identifier. QueryParams: collection (str): STAC Collection Identifier. Required item (str): STAC Item Identifier. Required assets (array[str]): asset names. expression (str): rio-tiler's math expression with asset names (e.g Asset1_b1/Asset2_b1 ). asset_as_band (bool): tell rio-tiler that each asset is a 1 band dataset, so expression Asset1/Asset2 can be passed. asset_bidx (array[str]): Per asset band math expression (e.g Asset1|1;2;3 ). max_size (int): Max image size from which to calculate statistics, default is 1024. height (int): Force image height from which to calculate statistics. width (int): Force image width from which to calculate statistics. nodata (str, int, float): Overwrite internal Nodata value. unscale (bool): Apply dataset internal Scale/Offset. resampling (str): RasterIO resampling algorithm. Defaults to nearest . categorical (bool): Return statistics for categorical dataset, default is false. c (array[float]): Pixels values for categories. p (array[int]): Percentile values. histogram_bins (str): Histogram bins. histogram_range (str): Comma (',') delimited Min,Max histogram bounds Example: https://myendpoint/collections/mycollection/items/oneitem/statistics?assets=B01&categorical=true&c=1&c=2&c=3&p=2&p98 :endpoint:/collections/{collection_id}/items/{item_id}/statistics - [POST] Body: feature (JSON): A valid GeoJSON feature or FeatureCollection PathParams: collection_id (str): STAC Collection Identifier. item_id (str): STAC Item Identifier. QueryParams: assets (array[str]): asset names. expression (str): rio-tiler's math expression with asset names (e.g Asset1_b1/Asset2_b1 ). asset_as_band (bool): tell rio-tiler that each asset is a 1 band dataset, so expression Asset1/Asset2 can be passed. asset_bidx (array[str]): Per asset band math expression (e.g Asset1|1;2;3 ). max_size (int): Max image size from which to calculate statistics. height (int): Force image height from which to calculate statistics. width (int): Force image width from which to calculate statistics. coord_crs (str): Coordinate Reference System of the input coordinates. Default to epsg:4326 . dst_crs (str): Output Coordinate Reference System. Default to coord_crs . nodata (str, int, float): Overwrite internal Nodata value. unscale (bool): Apply dataset internal Scale/Offset. resampling (str): RasterIO resampling algorithm. Defaults to nearest . reproject (str): WarpKernel resampling algorithm (only used when doing re-projection). Defaults to nearest . categorical (bool): Return statistics for categorical dataset, default is false. c (array[float]): Pixels values for categories. p (array[int]): Percentile values. histogram_bins (str): Histogram bins. histogram_range (str): Comma (',') delimited Min,Max histogram bounds Example: https://myendpoint/collections/mycollection/items/oneitem/statistics?assets=B01&categorical=true&c=1&c=2&c=3&p=2&p98","title":"Items"},{"location":"endpoints/items_endpoints/#stac-items-endpoints","text":"The Item endpoints are created using TiTiler's MultiBaseTilerFactory Method URL Output Description GET /collections/{collection_id}/items/{item_id}/bounds JSON ( Bounds ) return dataset's bounds GET /collections/{collection_id}/items/{item_id}/assets JSON return the list of available assets GET /collections/{collection_id}/items/{item_id}/info JSON ( Info ) return assets basic info GET /collections/{collection_id}/items/{item_id}/info.geojson GeoJSON ( InfoGeoJSON ) return assets basic info as a GeoJSON feature GET /collections/{collection_id}/items/{item_id}/asset_statistics JSON ( Statistics ) return per asset statistics GET /collections/{collection_id}/items/{item_id}/statistics JSON ( Statistics ) return assets statistics (merged) POST /collections/{collection_id}/items/{item_id}/statistics GeoJSON ( Statistics ) return assets statistics for a GeoJSON (merged) GET /collections/{collection_id}/items/{item_id}/tiles[/{TileMatrixSetId}]/{z}/{x}/{y}[@{scale}x][.{format}] image/bin create a web map tile image from assets GET /collections/{collection_id}/items/{item_id}[/{TileMatrixSetId}]/tilejson.json JSON ( TileJSON ) return a Mapbox TileJSON document GET /collections/{collection_id}/items/{item_id}[/{TileMatrixSetId}]/WMTSCapabilities.xml XML return OGC WMTS Get Capabilities GET /collections/{collection_id}/items/{item_id}[/{TileMatrixSetId}]/map HTML simple map viewer GET /collections/{collection_id}/items/{item_id}/point/{lon},{lat} JSON ( Point ) return pixel values from assets GET /collections/{collection_id}/items/{item_id}/preview[.{format}] image/bin create a preview image from assets GET /collections/{collection_id}/items/{item_id}/bbox/{minx},{miny},{maxx},{maxy}[/{width}x{height}].{format} image/bin create an image from part of assets POST /collections/{collection_id}/items/{item_id}/feature[/{width}x{height}][.{format}] image/bin create an image from a geojson feature intersecting assets","title":"STAC Items endpoints"},{"location":"endpoints/items_endpoints/#tiles","text":":endpoint:/collections/{collection_id}/items/{item_id}/tiles[/{TileMatrixSetId}]/{z}/{x}/{y}[@{scale}x][.{format}] PathParams: collection_id (str): STAC Collection Identifier. item_id (str): STAC Item Identifier. TileMatrixSetId (str): TileMatrixSet name, default is WebMercatorQuad . Optional z (int): TMS tile's zoom level. x (int): TMS tile's column. y (int): TMS tile's row. scale (int): Tile size scale, default is set to 1 (256x256). Optional format (str): Output image format, default is set to None and will be either JPEG or PNG depending on masked value. Optional QueryParams: assets (array[str]): asset names. expression (str): rio-tiler's math expression with asset names (e.g Asset1_b1/Asset2_b1 ). asset_as_band (bool): tell rio-tiler that each asset is a 1 band dataset, so expression Asset1/Asset2 can be passed. asset_bidx (array[str]): Per asset band math expression (e.g Asset1|1;2;3 ). nodata (str, int, float): Overwrite internal Nodata value. unscale (bool): Apply dataset internal Scale/Offset. resampling (str): RasterIO resampling algorithm. Defaults to nearest . reproject (str): WarpKernel resampling algorithm (only used when doing re-projection). Defaults to nearest . algorithm (str): Custom algorithm name (e.g hillshade ). algorithm_params (str): JSON encoded algorithm parameters. rescale (array[str]): Comma (',') delimited Min,Max range (e.g rescale=0,1000 , rescale=0,1000&rescale=0,3000&rescale=0,2000 ). color_formula (str): rio-color formula. colormap (str): JSON encoded custom Colormap. colormap_name (str): rio-tiler color map name. return_mask (bool): Add mask to the output data. Default is True. buffer (float): Buffer on each side of the given tile. It must be a multiple of 0.5 . Output tilesize will be expanded to tilesize + 2 * buffer (e.g 0.5 = 257x257, 1.0 = 258x258). padding (int): Padding to apply to each tile edge. Helps reduce resampling artefacts along edges. Defaults to 0 algorithm (str): Custom algorithm name (e.g hillshade ). algorithm_params (str): JSON encoded algorithm parameters. Important assets OR expression is required Example: https://myendpoint/collections/mycollection/items/oneitem/tiles/1/2/3?assets=B01&assets=B00 https://myendpoint/collections/mycollection/items/oneitem/tiles/1/2/3.jpg?assets=B01 https://myendpoint/collections/mycollection/items/oneitem/tiles/WorldCRS84Quad/1/2/3@2x.png?assets=B01 https://myendpoint/collections/mycollection/items/oneitem/tiles/WorldCRS84Quad/1/2/3?expression=B01/B02&rescale=0,1000&colormap_name=cfastie&asset_as_band=True","title":"Tiles"},{"location":"endpoints/items_endpoints/#preview","text":":endpoint:/collections/{collection_id}/items/{item_id}/preview[.{format}] PathParams: collection_id (str): STAC Collection Identifier. item_id (str): STAC Item Identifier. format : Output image format, default is set to None and will be either JPEG or PNG depending on masked value. Optional QueryParams: assets (array[str]): asset names. expression (str): rio-tiler's math expression with asset names (e.g Asset1_b1/Asset2_b1 ). asset_as_band (bool): tell rio-tiler that each asset is a 1 band dataset, so expression Asset1/Asset2 can be passed. asset_bidx (array[str]): Per asset band math expression (e.g Asset1|1;2;3 ). max_size (int): Max image size, default is 1024. height (int): Force output image height. width (int): Force output image width. dst_crs (str): Output Coordinate Reference System. Default to dataset's CRS. nodata (str, int, float): Overwrite internal Nodata value. unscale (bool): Apply dataset internal Scale/Offset. algorithm (str): Custom algorithm name (e.g hillshade ). algorithm_params (str): JSON encoded algorithm parameters. resampling (str): RasterIO resampling algorithm. Defaults to nearest . reproject (str): WarpKernel resampling algorithm (only used when doing re-projection). Defaults to nearest . rescale (array[str]): Comma (',') delimited Min,Max range (e.g rescale=0,1000 , rescale=0,1000&rescale=0,3000&rescale=0,2000 ). color_formula (str): rio-color formula. colormap (str): JSON encoded custom Colormap. colormap_name (str): rio-tiler color map name. return_mask (bool): Add mask to the output data. Default is True. algorithm (str): Custom algorithm name (e.g hillshade ). algorithm_params (str): JSON encoded algorithm parameters. Important assets OR expression is required if height and width are provided max_size will be ignored. Example: https://myendpoint/collections/mycollection/items/oneitem/preview?assets=B01 https://myendpoint/collections/mycollection/items/oneitem/preview.jpg?assets=B01 https://myendpoint/collections/mycollection/items/oneitem/preview?assets=B01&rescale=0,1000&colormap_name=cfastie","title":"Preview"},{"location":"endpoints/items_endpoints/#bboxfeature","text":":endpoint:/collections/{collection_id}/items/{item_id}/bbox/{minx},{miny},{maxx},{maxy}.{format} :endpoint:/collections/{collection_id}/items/{item_id}/bbox/{minx},{miny},{maxx},{maxy}/{width}x{height}.{format} PathParams: collection_id (str): STAC Collection Identifier. item_id (str): STAC Item Identifier. minx,miny,maxx,maxy (str): Comma (',') delimited bounding box in WGS84. height (int): Force output image height. Optional width (int): Force output image width. Optional format (str): Output image format, default is set to None and will be either JPEG or PNG depending on masked value. Optional QueryParams: assets (array[str]): asset names. expression (str): rio-tiler's math expression with asset names (e.g Asset1_b1/Asset2_b1 ). asset_as_band (bool): tell rio-tiler that each asset is a 1 band dataset, so expression Asset1/Asset2 can be passed. asset_bidx (array[str]): Per asset band math expression (e.g Asset1|1;2;3 ). max_size (int): Max image size. coord_crs (str): Coordinate Reference System of the input coordinates. Default to epsg:4326 . dst_crs (str): Output Coordinate Reference System. Default to coord_crs . nodata (str, int, float): Overwrite internal Nodata value. unscale (bool): Apply dataset internal Scale/Offset. algorithm (str): Custom algorithm name (e.g hillshade ). algorithm_params (str): JSON encoded algorithm parameters. resampling (str): RasterIO resampling algorithm. Defaults to nearest . reproject (str): WarpKernel resampling algorithm (only used when doing re-projection). Defaults to nearest . rescale (array[str]): Comma (',') delimited Min,Max range (e.g rescale=0,1000 , rescale=0,1000&rescale=0,3000&rescale=0,2000 ). color_formula (str): rio-color formula. colormap (str): JSON encoded custom Colormap. colormap_name (str): rio-tiler color map name. return_mask (bool): Add mask to the output data. Default is True. algorithm (str): Custom algorithm name (e.g hillshade ). algorithm_params (str): JSON encoded algorithm parameters. Important assets OR expression is required if height and width are provided max_size will be ignored. Example: https://myendpoint/collections/mycollection/items/oneitem/bbox/0,0,10,10.png?assets=B01 https://myendpoint/collections/mycollection/items/oneitem/bbox/0,0,10,10.png?assets=B01&rescale=0,1000&colormap_name=cfastie :endpoint:/collections/{collection_id}/items/{item_id}/feature[/{width}x{height}][].{format}] - [POST] Body: feature (JSON): A valid GeoJSON feature (Polygon or MultiPolygon) PathParams: collection_id (str): STAC Collection Identifier. item_id (str): STAC Item Identifier. height (int): Force output image height. Optional width (int): Force output image width. Optional format (str): Output image format, default is set to None and will be either JPEG or PNG depending on masked value. Optional QueryParams: assets (array[str]): asset names. expression (str): rio-tiler's math expression with asset names (e.g Asset1_b1/Asset2_b1 ). asset_as_band (bool): tell rio-tiler that each asset is a 1 band dataset, so expression Asset1/Asset2 can be passed. asset_bidx (array[str]): Per asset band math expression (e.g Asset1|1;2;3 ). max_size (int): Max image size. coord_crs (str): Coordinate Reference System of the input coordinates. Default to epsg:4326 . dst_crs (str): Output Coordinate Reference System. Default to coord_crs . nodata (str, int, float): Overwrite internal Nodata value. unscale (bool): Apply dataset internal Scale/Offset. resampling (str): RasterIO resampling algorithm. Defaults to nearest . reproject (str): WarpKernel resampling algorithm (only used when doing re-projection). Defaults to nearest . algorithm (str): Custom algorithm name (e.g hillshade ). algorithm_params (str): JSON encoded algorithm parameters. rescale (array[str]): Comma (',') delimited Min,Max range (e.g rescale=0,1000 , rescale=0,1000&rescale=0,3000&rescale=0,2000 ). color_formula (str): rio-color formula. colormap (str): JSON encoded custom Colormap. colormap_name (str): rio-tiler color map name. return_mask (bool): Add mask to the output data. Default is True. algorithm (str): Custom algorithm name (e.g hillshade ). algorithm_params (str): JSON encoded algorithm parameters. Important assets OR expression is required if height and width are provided max_size will be ignored. Example: https://myendpoint/collections/mycollection/items/oneitem/crop?assets=B01 https://myendpoint/collections/mycollection/items/oneitem/crop.png?assets=B01 https://myendpoint/collections/mycollection/items/oneitem/100x100.png?assets=B01&rescale=0,1000&colormap_name=cfastie","title":"BBOX/Feature"},{"location":"endpoints/items_endpoints/#point","text":":endpoint:/collections/{collection_id}/items/{item_id}/point/{lon},{lat} PathParams: collection_id (str): STAC Collection Identifier. item_id (str): STAC Item Identifier. lon,lat, (str): Comma (',') delimited point Longitude and Latitude WGS84. QueryParams: assets (array[str]): asset names. expression (str): rio-tiler's math expression with asset names (e.g Asset1_b1/Asset2_b1 ). asset_as_band (bool): tell rio-tiler that each asset is a 1 band dataset, so expression Asset1/Asset2 can be passed. asset_bidx (array[str]): Per asset band math expression (e.g Asset1|1;2;3 ). nodata (str, int, float): Overwrite internal Nodata value. unscale (bool): Apply dataset internal Scale/Offset. resampling (str): RasterIO resampling algorithm. Defaults to nearest . reproject (str): WarpKernel resampling algorithm (only used when doing re-projection). Defaults to nearest . Important assets OR expression is required Example: https://myendpoint/collections/mycollection/items/oneitem/point/0,0?assets=B01","title":"Point"},{"location":"endpoints/items_endpoints/#tilesjson","text":":endpoint:/collections/{collection_id}/items/{item_id}[/{TileMatrixSetId}]/tilejson.json tileJSON document PathParams: collection_id (str): STAC Collection Identifier. item_id (str): STAC Item Identifier. TileMatrixSetId : TileMatrixSet name, default is WebMercatorQuad . QueryParams: assets (array[str]): asset names. expression (str): rio-tiler's math expression with asset names (e.g Asset1_b1/Asset2_b1 ). asset_as_band (bool): tell rio-tiler that each asset is a 1 band dataset, so expression Asset1/Asset2 can be passed. asset_bidx (array[str]): Per asset band math expression (e.g Asset1|1;2;3 ). tile_format (str): Output image format, default is set to None and will be either JPEG or PNG depending on masked value. tile_scale (int): Tile size scale, default is set to 1 (256x256). minzoom (int): Overwrite default minzoom. maxzoom (int): Overwrite default maxzoom. nodata (str, int, float): Overwrite internal Nodata value. unscale (bool): Apply dataset internal Scale/Offset. resampling (str): RasterIO resampling algorithm. Defaults to nearest . reproject (str): WarpKernel resampling algorithm (only used when doing re-projection). Defaults to nearest . algorithm (str): Custom algorithm name (e.g hillshade ). algorithm_params (str): JSON encoded algorithm parameters. rescale (array[str]): Comma (',') delimited Min,Max range (e.g rescale=0,1000 , rescale=0,1000&rescale=0,3000&rescale=0,2000 ). color_formula (str): rio-color formula. colormap (str): JSON encoded custom Colormap. colormap_name (str): rio-tiler color map name. return_mask (bool): Add mask to the output data. Default is True. buffer (float): Buffer on each side of the given tile. It must be a multiple of 0.5 . Output tilesize will be expanded to tilesize + 2 * buffer (e.g 0.5 = 257x257, 1.0 = 258x258). padding (int): Padding to apply to each tile edge. Helps reduce resampling artefacts along edges. Defaults to 0 Important assets OR expression is required Example: https://myendpoint/collections/mycollection/items/oneitem/tilejson.json?assets=B01 https://myendpoint/collections/mycollection/items/oneitem/tilejson.json?assets=B01&tile_format=png https://myendpoint/collections/mycollection/items/oneitem/WorldCRS84Quad/tilejson.json?tile_scale=2&expression=B01/B02&asset_as_band=True","title":"TilesJSON"},{"location":"endpoints/items_endpoints/#bounds","text":":endpoint:/collections/{collection_id}/items/{item_id}/bounds - Return the bounds of the STAC item. PathParams: collection_id (str): STAC Collection Identifier. item_id (str): STAC Item Identifier. Example: https://myendpoint/collections/mycollection/items/oneitem/bounds","title":"Bounds"},{"location":"endpoints/items_endpoints/#info","text":":endpoint:/collections/{collection_id}/items/{item_id}/info - Return basic info on STAC item's COG. PathParams: collection_id (str): STAC Collection Identifier. item_id (str): STAC Item Identifier. QueryParams: assets (array[str]): asset names. Default to all available assets. Example: https://myendpoint/collections/mycollection/items/oneitem/info?assets=B01 :endpoint:/collections/{collection_id}/items/{item_id}/info.geojson - Return basic info on STAC item's COG as a GeoJSON feature PathParams: collection_id (str): STAC Collection Identifier. item_id (str): STAC Item Identifier. QueryParams: collection (str): STAC Collection Identifier. Required item (str): STAC Item Identifier. Required assets (array[str]): asset names. Default to all available assets. Example: https://myendpoint/collections/mycollection/items/oneitem/info.geojson?assets=B01 :endpoint:/collections/{collection_id}/items/{item_id}/assets - Return the list of available assets","title":"Info"},{"location":"endpoints/items_endpoints/#available-assets","text":":endpoint:/collections/{collection_id}/items/{item_id}/assets - Return a list of available assets PathParams: collection_id (str): STAC Collection Identifier. item_id (str): STAC Item Identifier. Example: https://myendpoint/collections/mycollection/items/oneitem/assets","title":"Available Assets"},{"location":"endpoints/items_endpoints/#statistics","text":":endpoint:/collections/{collection_id}/items/{item_id}/asset_statistics - [GET] PathParams: collection_id (str): STAC Collection Identifier. item_id (str): STAC Item Identifier. QueryParams: collection (str): STAC Collection Identifier. Required item (str): STAC Item Identifier. Required assets (array[str]): asset names. Default to all available assets. asset_bidx (array[str]): Per asset band math expression (e.g Asset1|1;2;3 ). asset_expression (array[str]): Per asset band math expression (e.g Asset1|b1\\*b2 ). max_size (int): Max image size from which to calculate statistics, default is 1024. height (int): Force image height from which to calculate statistics. width (int): Force image width from which to calculate statistics. nodata (str, int, float): Overwrite internal Nodata value. unscale (bool): Apply dataset internal Scale/Offset. resampling (str): RasterIO resampling algorithm. Defaults to nearest . categorical (bool): Return statistics for categorical dataset, default is false. c (array[float]): Pixels values for categories. p (array[int]): Percentile values. histogram_bins (str): Histogram bins. histogram_range (str): Comma (',') delimited Min,Max histogram bounds Example: https://myendpoint/collections/mycollection/items/oneitem/statistics?assets=B01&categorical=true&c=1&c=2&c=3&p=2&p98 :endpoint:/collections/{collection_id}/items/{item_id}/statistics - [GET] PathParams: collection_id (str): STAC Collection Identifier. item_id (str): STAC Item Identifier. QueryParams: collection (str): STAC Collection Identifier. Required item (str): STAC Item Identifier. Required assets (array[str]): asset names. expression (str): rio-tiler's math expression with asset names (e.g Asset1_b1/Asset2_b1 ). asset_as_band (bool): tell rio-tiler that each asset is a 1 band dataset, so expression Asset1/Asset2 can be passed. asset_bidx (array[str]): Per asset band math expression (e.g Asset1|1;2;3 ). max_size (int): Max image size from which to calculate statistics, default is 1024. height (int): Force image height from which to calculate statistics. width (int): Force image width from which to calculate statistics. nodata (str, int, float): Overwrite internal Nodata value. unscale (bool): Apply dataset internal Scale/Offset. resampling (str): RasterIO resampling algorithm. Defaults to nearest . categorical (bool): Return statistics for categorical dataset, default is false. c (array[float]): Pixels values for categories. p (array[int]): Percentile values. histogram_bins (str): Histogram bins. histogram_range (str): Comma (',') delimited Min,Max histogram bounds Example: https://myendpoint/collections/mycollection/items/oneitem/statistics?assets=B01&categorical=true&c=1&c=2&c=3&p=2&p98 :endpoint:/collections/{collection_id}/items/{item_id}/statistics - [POST] Body: feature (JSON): A valid GeoJSON feature or FeatureCollection PathParams: collection_id (str): STAC Collection Identifier. item_id (str): STAC Item Identifier. QueryParams: assets (array[str]): asset names. expression (str): rio-tiler's math expression with asset names (e.g Asset1_b1/Asset2_b1 ). asset_as_band (bool): tell rio-tiler that each asset is a 1 band dataset, so expression Asset1/Asset2 can be passed. asset_bidx (array[str]): Per asset band math expression (e.g Asset1|1;2;3 ). max_size (int): Max image size from which to calculate statistics. height (int): Force image height from which to calculate statistics. width (int): Force image width from which to calculate statistics. coord_crs (str): Coordinate Reference System of the input coordinates. Default to epsg:4326 . dst_crs (str): Output Coordinate Reference System. Default to coord_crs . nodata (str, int, float): Overwrite internal Nodata value. unscale (bool): Apply dataset internal Scale/Offset. resampling (str): RasterIO resampling algorithm. Defaults to nearest . reproject (str): WarpKernel resampling algorithm (only used when doing re-projection). Defaults to nearest . categorical (bool): Return statistics for categorical dataset, default is false. c (array[float]): Pixels values for categories. p (array[int]): Percentile values. histogram_bins (str): Histogram bins. histogram_range (str): Comma (',') delimited Min,Max histogram bounds Example: https://myendpoint/collections/mycollection/items/oneitem/statistics?assets=B01&categorical=true&c=1&c=2&c=3&p=2&p98","title":"Statistics"},{"location":"endpoints/searches_endpoints/","text":"STAC Searches endpoints \u00b6 Method URL Output Description GET /searches/{search_id}/{lon},{lat}/assets JSON Return a list of assets which overlap a given point GET /searches/{search_id}/tiles[/{TileMatrixSetId}]/{z}/{x}/{Y}/assets JSON Return a list of assets which overlap a given tile GET /searches/{search_id}/tiles[/{TileMatrixSetId}]/{z}/{x}/{y}[@{scale}x][.{format}] image/bin Create a web map tile image for a search query and a tile index GET /searches/{search_id}[/{TileMatrixSetId}]/tilejson.json JSON ( TileJSON ) Return a Mapbox TileJSON document GET /searches/{search_id}[/{TileMatrixSetId}]/WMTSCapabilities.xml XML return OGC WMTS Get Capabilities GET /searches/{search_id}[/{TileMatrixSetId}]/map HTML simple map viewer POST /searches/{search_id}/statistics GeoJSON ( Statistics ) Return statistics for geojson features GET /searches/{search_id}/bbox/{minx},{miny},{maxx},{maxy}[/{width}x{height}].{format} image/bin Create an image from part of a dataset POST /searches/{search_id}/feature[/{width}x{height}][.{format}] image/bin Create an image from a GeoJSON feature GET /searches/{search_id}/info JSON ( Info ) Return Search query infos POST /searches/register JSON ( Register ) Register Search query GET /searches/list JSON ( Infos ) Return list of Search entries with Mosaic type Tiles \u00b6 :endpoint:/searches/{search_id}/tiles[/{TileMatrixSetId}]/{z}/{x}/{y}[@{scale}x][.{format}] PathParams: search_id : PgSTAC Search Identifier (Hash). TileMatrixSetId : TileMatrixSet name, default is WebMercatorQuad . OPTIONAL z : Tile's zoom level. x : Tile's column. y : Tile's row. scale : Tile size scale, default is set to 1 (256x256). OPTIONAL format : Output image format, default is set to None and will be either JPEG or PNG depending on masked value. OPTIONAL QueryParams: assets (array[str]): asset names. expression (str): rio-tiler's math expression with asset names (e.g Asset1_b1/Asset2_b1 ). asset_as_band (bool): tell rio-tiler that each asset is a 1 band dataset, so expression Asset1/Asset2 can be passed. asset_bidx (array[str]): Per asset band math expression (e.g Asset1|1;2;3 ). nodata : Overwrite internal Nodata value. OPTIONAL unscale (bool): Apply dataset internal Scale/Offset. resampling (str): RasterIO resampling algorithm. Defaults to nearest . reproject (str): WarpKernel resampling algorithm (only used when doing re-projection). Defaults to nearest . algorithm (str): Custom algorithm name (e.g hillshade ). algorithm_params (str): JSON encoded algorithm parameters. rescale (array[str]): Comma (',') delimited Min,Max range (e.g rescale=0,1000 , rescale=0,1000&rescale=0,3000&rescale=0,2000 ). color_formula (str): rio-color formula. colormap (str): JSON encoded custom Colormap. colormap_name (str): rio-tiler color map name. return_mask (bool): Add mask to the output data. Default is True. buffer (float): Buffer on each side of the given tile. It must be a multiple of 0.5 . Output tilesize will be expanded to tilesize + 2 * buffer (e.g 0.5 = 257x257, 1.0 = 258x258). padding (int): Padding to apply to each tile edge. Helps reduce resampling artefacts along edges. Defaults to 0 pixel_selection (str): Pixel selection method ( cogeotiff.github.io/rio-tiler/mosaic/ ). scan_limit (int): Return as soon as we scan N items, Default is 10,000 in PgSTAC. items_limit (int): Return as soon as we have N items per geometry, Default is 100 in PgSTAC. time_limit (int): Return after N seconds to avoid long requests, Default is 5sec in PgSTAC. exitwhenfull (bool): Return as soon as the geometry is fully covered, Default is True in PgSTAC. skipcovered (bool): Skip any items that would show up completely under the previous items, Default is True in PgSTAC. Important assets OR expression is required Example: https://myendpoint/searches/f1ed59f0a6ad91ed80ae79b7b52bc707/tiles/1/2/3?assets=B01 https://myendpoint/searches/f1ed59f0a6ad91ed80ae79b7b52bc707/tiles/1/2/3.jpg?assets=B01 https://myendpoint/searches/f1ed59f0a6ad91ed80ae79b7b52bc707/tiles/WorldCRS84Quad/1/2/3@2x.png?assets=B01&assets=B02&assets=B03 https://myendpoint/searches/f1ed59f0a6ad91ed80ae79b7b52bc707/tiles/WorldCRS84Quad/1/2/3?assets=B01&rescale=0,1000&colormap_name=cfastie TilesJSON \u00b6 :endpoint:/searches/{search_id}[/{TileMatrixSetId}]/tilejson.json PathParams: search_id : PgSTAC Search Identifier (Hash). TileMatrixSetId : TileMatrixSet name, default is WebMercatorQuad . OPTIONAL QueryParams: tile_format : Output image format, default is set to None and will be either JPEG or PNG depending on masked value. tile_scale : Tile size scale, default is set to 1 (256x256). OPTIONAL minzoom : Overwrite default minzoom. OPTIONAL maxzoom : Overwrite default maxzoom. OPTIONAL expression (str): rio-tiler's math expression with asset names (e.g Asset1_b1/Asset2_b1 ). asset_as_band (bool): tell rio-tiler that each asset is a 1 band dataset, so expression Asset1/Asset2 can be passed. asset_bidx (array[str]): Per asset band math expression (e.g Asset1|1;2;3 ). nodata (str, int, float): Overwrite internal Nodata value. unscale (bool): Apply dataset internal Scale/Offset. resampling (str): RasterIO resampling algorithm. Defaults to nearest . reproject (str): WarpKernel resampling algorithm (only used when doing re-projection). Defaults to nearest . algorithm (str): Custom algorithm name (e.g hillshade ). algorithm_params (str): JSON encoded algorithm parameters. rescale (array[str]): Comma (',') delimited Min,Max range (e.g rescale=0,1000 , rescale=0,1000&rescale=0,3000&rescale=0,2000 ). color_formula (str): rio-color formula. colormap (str): JSON encoded custom Colormap. colormap_name (str): rio-tiler color map name. return_mask (bool): Add mask to the output data. Default is True. buffer (float): Buffer on each side of the given tile. It must be a multiple of 0.5 . Output tilesize will be expanded to tilesize + 2 * buffer (e.g 0.5 = 257x257, 1.0 = 258x258). padding (int): Padding to apply to each tile edge. Helps reduce resampling artefacts along edges. Defaults to 0 pixel_selection (str): Pixel selection method ( cogeotiff.github.io/rio-tiler/mosaic/ ). scan_limit (int): Return as soon as we scan N items, Default is 10,000 in PgSTAC. items_limit (int): Return as soon as we have N items per geometry, Default is 100 in PgSTAC. time_limit (int): Return after N seconds to avoid long requests, Default is 5sec in PgSTAC. exitwhenfull (bool): Return as soon as the geometry is fully covered, Default is True in PgSTAC. skipcovered (bool): Skip any items that would show up completely under the previous items, Default is True in PgSTAC. Important assets OR expression is required Example: https://myendpoint/searches/f1ed59f0a6ad91ed80ae79b7b52bc707/tilejson.json?assets=B01 https://myendpoint/searches/f1ed59f0a6ad91ed80ae79b7b52bc707/tilejson.json?assets=B01&tile_format=png https://myendpoint/searches/f1ed59f0a6ad91ed80ae79b7b52bc707/WorldCRS84Quad/tilejson.json?assets=B01&tile_scale=2 WMTS \u00b6 :endpoint:/searches/{search_id}[/{TileMatrixSetId}]/WMTSCapabilities.xml PathParams: search_id : PgSTAC Search Identifier (Hash). TileMatrixSetId : TileMatrixSet name, default is WebMercatorQuad . OPTIONAL QueryParams: tile_format : Output image format, default is set to PNG. tile_scale : Tile size scale, default is set to 1 (256x256). OPTIONAL minzoom : Overwrite default minzoom. OPTIONAL maxzoom : Overwrite default maxzoom. OPTIONAL Important additional query-parameters will be forwarded to the tile URL. If no defaults mosaic metadata, assets OR expression will be required Example: https://myendpoint/searches/f1ed59f0a6ad91ed80ae79b7b52bc707/WMTSCapabilities.xml?assets=B01 https://myendpoint/searches/f1ed59f0a6ad91ed80ae79b7b52bc707/WMTSCapabilities.xml?assets=B01&tile_format=png https://myendpoint/searches/f1ed59f0a6ad91ed80ae79b7b52bc707/WorldCRS84Quad/WMTSCapabilities.xml?assets=B01&tile_scale=2 Assets \u00b6 :endpoint:/searches/{search_id}/tiles/[{TileMatrixSetId}]/{z}/{x}/{y}/assets PathParams: search_id : PgSTAC Search Identifier (Hash). TileMatrixSetId : TileMatrixSet name, default is WebMercatorQuad . OPTIONAL z : Tile's zoom level. x : Tile's column. y : Tile's row. QueryParams: scan_limit (int): Return as soon as we scan N items, Default is 10,000 in PgSTAC. items_limit (int): Return as soon as we have N items per geometry, Default is 100 in PgSTAC. time_limit (int): Return after N seconds to avoid long requests, Default is 5sec in PgSTAC. exitwhenfull (bool): Return as soon as the geometry is fully covered, Default is True in PgSTAC. skipcovered (bool): Skip any items that would show up completely under the previous items, Default is True in PgSTAC. Example: https://myendpoint/searches/f1ed59f0a6ad91ed80ae79b7b52bc707/tiles/0/0/0/assets :endpoint:/searches/{search_id}/{lon},{lat}/assets PathParams: search_id : PgSTAC Search Identifier (Hash). lon : Longitude (in WGS84 CRS). lat : Latitude (in WGS84 CRS). QueryParams: scan_limit (int): Return as soon as we scan N items, Default is 10,000 in PgSTAC. items_limit (int): Return as soon as we have N items per geometry, Default is 100 in PgSTAC. time_limit (int): Return after N seconds to avoid long requests, Default is 5sec in PgSTAC. exitwhenfull (bool): Return as soon as the geometry is fully covered, Default is True in PgSTAC. skipcovered (bool): Skip any items that would show up completely under the previous items, Default is True in PgSTAC. Example: https://myendpoint/searches/f1ed59f0a6ad91ed80ae79b7b52bc707/0.0,0.0/assets Statistics \u00b6 :endpoint:/searches/{search_id}/statistics - [POST] Body: feature (JSON): A valid GeoJSON feature or FeatureCollection PathParams: search_id : PgSTAC Search Identifier (Hash). QueryParams: assets (array[str]): asset names. expression (str): rio-tiler's math expression with asset names (e.g Asset1_b1/Asset2_b1 ). asset_as_band (bool): tell rio-tiler that each asset is a 1 band dataset, so expression Asset1/Asset2 can be passed. asset_bidx (array[str]): Per asset band math expression (e.g Asset1|1;2;3 ). coord_crs (str): Coordinate Reference System of the input geometry. Default to epsg:4326 . dst_crs (str): Output Coordinate Reference System. Default to coord_crs . max_size (int): Max image size from which to calculate statistics. height (int): Force image height from which to calculate statistics. width (int): Force image width from which to calculate statistics. nodata : Overwrite internal Nodata value. OPTIONAL unscale (bool): Apply dataset internal Scale/Offset. resampling (str): RasterIO resampling algorithm. Defaults to nearest . reproject (str): WarpKernel resampling algorithm (only used when doing re-projection). Defaults to nearest . algorithm (str): Custom algorithm name (e.g hillshade ). algorithm_params (str): JSON encoded algorithm parameters. categorical (bool): Return statistics for categorical dataset, default is false. c (array[float]): Pixels values for categories. p (array[int]): Percentile values. histogram_bins (str): Histogram bins. histogram_range (str): Comma (',') delimited Min,Max histogram bounds. pixel_selection (str): Pixel selection method ( cogeotiff.github.io/rio-tiler/mosaic/ ). scan_limit (int): Return as soon as we scan N items, Default is 10,000 in PgSTAC. items_limit (int): Return as soon as we have N items per geometry, Default is 100 in PgSTAC. time_limit (int): Return after N seconds to avoid long requests, Default is 5sec in PgSTAC. exitwhenfull (bool): Return as soon as the geometry is fully covered, Default is True in PgSTAC. skipcovered (bool): Skip any items that would show up completely under the previous items, Default is True in PgSTAC. Important if height and width are provided max_size will be ignored. Example: https://myendpoint/searches/f1ed59f0a6ad91ed80ae79b7b52bc707/statistics?assets=B01 BBOX/Feature \u00b6 :endpoint:/searches/{search_id}/bbox/{minx},{miny},{maxx},{maxy}.{format} :endpoint:/searches/{search_id}/bbox/{minx},{miny},{maxx},{maxy}/{width}x{height}.{format} PathParams: search_id : PgSTAC Search Identifier (Hash). minx,miny,maxx,maxy (str): Comma (',') delimited bounding box in WGS84. format (str): Output image format. height (int): Force output image height. width (int): Force output image width. QueryParams: assets (array[str]): asset names. expression (str): rio-tiler's math expression with asset names (e.g Asset1_b1/Asset2_b1 ). asset_as_band (bool): tell rio-tiler that each asset is a 1 band dataset, so expression Asset1/Asset2 can be passed. asset_bidx (array[str]): Per asset band math expression (e.g Asset1|1;2;3 ). coord_crs (str): Coordinate Reference System of the input coordinates. Default to epsg:4326 . dst_crs (str): Output Coordinate Reference System. Default to coord_crs . max_size (int): Max image size. nodata : Overwrite internal Nodata value. OPTIONAL unscale (bool): Apply dataset internal Scale/Offset. resampling (str): RasterIO resampling algorithm. Defaults to nearest . reproject (str): WarpKernel resampling algorithm (only used when doing re-projection). Defaults to nearest . algorithm (str): Custom algorithm name (e.g hillshade ). algorithm_params (str): JSON encoded algorithm parameters. rescale (array[str]): Comma (',') delimited Min,Max range (e.g rescale=0,1000 , rescale=0,1000&rescale=0,3000&rescale=0,2000 ). color_formula (str): rio-color formula. colormap (str): JSON encoded custom Colormap. colormap_name (str): rio-tiler color map name. return_mask (bool): Add mask to the output data. Default is True. pixel_selection (str): Pixel selection method ( cogeotiff.github.io/rio-tiler/mosaic/ ). scan_limit (int): Return as soon as we scan N items, Default is 10,000 in PgSTAC. items_limit (int): Return as soon as we have N items per geometry, Default is 100 in PgSTAC. time_limit (int): Return after N seconds to avoid long requests, Default is 5sec in PgSTAC. exitwhenfull (bool): Return as soon as the geometry is fully covered, Default is True in PgSTAC. skipcovered (bool): Skip any items that would show up completely under the previous items, Default is True in PgSTAC. Important if height and width are provided max_size will be ignored. Example: https://myendpoint/searches/f1ed59f0a6ad91ed80ae79b7b52bc707/bbox/0,0,10,10.png?assets=B01 https://myendpoint/searches/f1ed59f0a6ad91ed80ae79b7b52bc707/bbox/0,0,10,10/400x300.png?assets=B01 :endpoint:/searches/{search_id}/feature[/{width}x{height}][].{format}] - [POST] Body: feature (JSON): A valid GeoJSON feature (Polygon or MultiPolygon) PathParams: search_id : PgSTAC Search Identifier (Hash). height (int): Force output image height. Optional width (int): Force output image width. Optional format (str): Output image format, default is set to None and will be either JPEG or PNG depending on masked value. Optional QueryParams: assets (array[str]): asset names. expression (str): rio-tiler's math expression with asset names (e.g Asset1_b1/Asset2_b1 ). asset_as_band (bool): tell rio-tiler that each asset is a 1 band dataset, so expression Asset1/Asset2 can be passed. asset_bidx (array[str]): Per asset band math expression (e.g Asset1|1;2;3 ). coord_crs (str): Coordinate Reference System of the input geometry. Default to epsg:4326 . dst_crs (str): Output Coordinate Reference System. Default to coord_crs . max_size (int): Max image size. nodata : Overwrite internal Nodata value. OPTIONAL unscale (bool): Apply dataset internal Scale/Offset. resampling (str): RasterIO resampling algorithm. Defaults to nearest . reproject (str): WarpKernel resampling algorithm (only used when doing re-projection). Defaults to nearest . algorithm (str): Custom algorithm name (e.g hillshade ). algorithm_params (str): JSON encoded algorithm parameters. rescale (array[str]): Comma (',') delimited Min,Max range (e.g rescale=0,1000 , rescale=0,1000&rescale=0,3000&rescale=0,2000 ). color_formula (str): rio-color formula. colormap (str): JSON encoded custom Colormap. colormap_name (str): rio-tiler color map name. return_mask (bool): Add mask to the output data. Default is True. pixel_selection (str): Pixel selection method ( cogeotiff.github.io/rio-tiler/mosaic/ ). scan_limit (int): Return as soon as we scan N items, Default is 10,000 in PgSTAC. items_limit (int): Return as soon as we have N items per geometry, Default is 100 in PgSTAC. time_limit (int): Return after N seconds to avoid long requests, Default is 5sec in PgSTAC. exitwhenfull (bool): Return as soon as the geometry is fully covered, Default is True in PgSTAC. skipcovered (bool): Skip any items that would show up completely under the previous items, Default is True in PgSTAC. Important if height and width are provided max_size will be ignored. Example: https://myendpoint/searches/f1ed59f0a6ad91ed80ae79b7b52bc707/feature?assets=B01 https://myendpoint/searches/f1ed59f0a6ad91ed80ae79b7b52bc707/feature.png?assets=B01f https://myendpoint/searches/f1ed59f0a6ad91ed80ae79b7b52bc707/feature/100x100.png?assets=B01 Register a Search Request \u00b6 :endpoint:/searches/register - [POST] Body (a combination of Search+Metadata): A JSON body composed of a valid STAC Search query (see: github.com/radiantearth/stac-api-spec/tree/master/item-search ) and Mosaic's metadata. // titiler-pgstac search body example { // STAC search query \"collections\" : [ \"string\" ], \"ids\" : [ \"string\" ], \"bbox\" : [ \"number\" , \"number\" , \"number\" , \"number\" ], \"intersects\" : { \"type\" : \"Point\" , \"coordinates\" : [ \"number\" , \"number\" ] }, \"query\" : { \"additionalProp1\" : {}, \"additionalProp2\" : {}, \"additionalProp3\" : {} }, \"filter\" : {}, \"datetime\" : \"string\" , \"sortby\" : \"string\" , \"filter-lang\" : \"cql-json\" , // titiler-pgstac mosaic metadata \"metadata\" : { \"type\" : \"mosaic\" , \"bounds\" : [ \"number\" , \"number\" , \"number\" , \"number\" ], \"minzoom\" : \"number\" , \"maxzoom\" : \"number\" , \"name\" : \"string\" , \"assets\" : [ \"string\" , \"string\" , ], \"defaults\" : {} } } Important In titiler-pgstac we extended the regular stac search to add a metadata entry. Metadata defaults to {\"type\": \"mosaic\"} . Example: https://myendpoint/searches/register curl -X 'POST' 'http://127.0.0.1:8081/searches/register' -H 'accept: application/json' -H 'Content-Type: application/json' -d '{\"collections\":[\"landsat-c2l2-sr\"], \"bbox\":[-123.75,34.30714385628804,-118.125,38.82259097617712], \"filter-lang\": \"cql-json\"}' | jq >> { \"id\" : \"5a1b82d38d53a5d200273cbada886bd7\" , \"links\" : [ { \"rel\" : \"metadata\" , \"type\" : \"application/json\" , \"href\" : \"http://127.0.0.1:8081/searches/5a1b82d38d53a5d200273cbada886bd7/info\" } , { \"rel\" : \"tilejson\" , \"type\" : \"application/json\" , \"href\" : \"http://127.0.0.1:8081/searches/5a1b82d38d53a5d200273cbada886bd7/tilejson.json\" } ] } # or using CQL2 curl -X 'POST' 'http://127.0.0.1:8081/searches/register' -H 'accept: application/json' -H 'Content-Type: application/json' -d '{\"filter\": {\"op\": \"=\", \"args\": [{\"property\": \"collection\"}, \"landsat-c2l2-sr\"]}}' # or using CQL2 with metadata curl -X 'POST' 'http://127.0.0.1:8081/searches/register' -H 'accept: application/json' -H 'Content-Type: application/json' -d '{\"filter\": {\"op\": \"=\", \"args\": [{\"property\": \"collection\"}, \"landsat-c2l2-sr\"]}, \"metadata\": {\"name\": \"landsat mosaic\"}}' Search infos \u00b6 :endpoint:/searches/{search_id}/info - [GET] PathParams: search_id : PgSTAC Search Identifier (Hash). Example: https://myendpoint/searches/5a1b82d38d53a5d200273cbada886bd7/info curl 'http://127.0.0.1:8081/searches/5a1b82d38d53a5d200273cbada886bd7/info' | jq >> { \"search\" : { \"hash\" : \"5a1b82d38d53a5d200273cbada886bd7\" , \"search\" : { \"bbox\" : [ -123.75, 34 .30714385628804, -118.125, 38 .82259097617712 ] , \"collections\" : [ \"landsat-c2l2-sr\" ] , \"filter-lang\" : \"cql-json\" } , \"_where\" : \"( TRUE ) AND collection_id = ANY ('{landsat-c2l2-sr}') AND geometry && '0103000020E610000001000000050000000000000000F05EC055F6687D502741400000000000F05EC02D553EA94A6943400000000000885DC02D553EA94A6943400000000000885DC055F6687D502741400000000000F05EC055F6687D50274140' \" , \"orderby\" : \"datetime DESC, id DESC\" , \"lastused\" : \"2022-03-03T11:42:07.213313+00:00\" , \"usecount\" : 2 , \"metadata\" : { \"type\" : \"mosaic\" } } , \"links\" : [ { \"rel\" : \"self\" , \"type\" : \"application/json\" , \"href\" : \"http://127.0.0.1:8081/searches/5a1b82d38d53a5d200273cbada886bd7/info\" } , { \"rel\" : \"tilejson\" , \"type\" : \"application/json\" , \"href\" : \"http://127.0.0.1:8081/searches/5a1b82d38d53a5d200273cbada886bd7/tilejson.json\" } ] } List Searches \u00b6 :endpoint:/searches/list - [GET] QueryParams: limit (int): Page size limit, Default is 10 . offset (int): Page offset. sortby (str): Sort the searches by Metadata properties (ascending (default) or descending ( - )). Important Additional query-parameters (form PROP=VALUE ) will be considered as a property filter . Example: https://myendpoint/searches/list https://myendpoint/searches/list?limit=100 https://myendpoint/searches/list?limit=10&offset=10 (page 2) https://myendpoint/searches/list?data=noaa (only show mosaics with metadata.data == noaa ) https://myendpoint/searches/list?sortby=lastused (sort mosaic by lastused pgstac search property) https://myendpoint/searches/list?sortby=-prop (sort mosaic (descending) by metadata.prop values)","title":"Searches"},{"location":"endpoints/searches_endpoints/#stac-searches-endpoints","text":"Method URL Output Description GET /searches/{search_id}/{lon},{lat}/assets JSON Return a list of assets which overlap a given point GET /searches/{search_id}/tiles[/{TileMatrixSetId}]/{z}/{x}/{Y}/assets JSON Return a list of assets which overlap a given tile GET /searches/{search_id}/tiles[/{TileMatrixSetId}]/{z}/{x}/{y}[@{scale}x][.{format}] image/bin Create a web map tile image for a search query and a tile index GET /searches/{search_id}[/{TileMatrixSetId}]/tilejson.json JSON ( TileJSON ) Return a Mapbox TileJSON document GET /searches/{search_id}[/{TileMatrixSetId}]/WMTSCapabilities.xml XML return OGC WMTS Get Capabilities GET /searches/{search_id}[/{TileMatrixSetId}]/map HTML simple map viewer POST /searches/{search_id}/statistics GeoJSON ( Statistics ) Return statistics for geojson features GET /searches/{search_id}/bbox/{minx},{miny},{maxx},{maxy}[/{width}x{height}].{format} image/bin Create an image from part of a dataset POST /searches/{search_id}/feature[/{width}x{height}][.{format}] image/bin Create an image from a GeoJSON feature GET /searches/{search_id}/info JSON ( Info ) Return Search query infos POST /searches/register JSON ( Register ) Register Search query GET /searches/list JSON ( Infos ) Return list of Search entries with Mosaic type","title":"STAC Searches endpoints"},{"location":"endpoints/searches_endpoints/#tiles","text":":endpoint:/searches/{search_id}/tiles[/{TileMatrixSetId}]/{z}/{x}/{y}[@{scale}x][.{format}] PathParams: search_id : PgSTAC Search Identifier (Hash). TileMatrixSetId : TileMatrixSet name, default is WebMercatorQuad . OPTIONAL z : Tile's zoom level. x : Tile's column. y : Tile's row. scale : Tile size scale, default is set to 1 (256x256). OPTIONAL format : Output image format, default is set to None and will be either JPEG or PNG depending on masked value. OPTIONAL QueryParams: assets (array[str]): asset names. expression (str): rio-tiler's math expression with asset names (e.g Asset1_b1/Asset2_b1 ). asset_as_band (bool): tell rio-tiler that each asset is a 1 band dataset, so expression Asset1/Asset2 can be passed. asset_bidx (array[str]): Per asset band math expression (e.g Asset1|1;2;3 ). nodata : Overwrite internal Nodata value. OPTIONAL unscale (bool): Apply dataset internal Scale/Offset. resampling (str): RasterIO resampling algorithm. Defaults to nearest . reproject (str): WarpKernel resampling algorithm (only used when doing re-projection). Defaults to nearest . algorithm (str): Custom algorithm name (e.g hillshade ). algorithm_params (str): JSON encoded algorithm parameters. rescale (array[str]): Comma (',') delimited Min,Max range (e.g rescale=0,1000 , rescale=0,1000&rescale=0,3000&rescale=0,2000 ). color_formula (str): rio-color formula. colormap (str): JSON encoded custom Colormap. colormap_name (str): rio-tiler color map name. return_mask (bool): Add mask to the output data. Default is True. buffer (float): Buffer on each side of the given tile. It must be a multiple of 0.5 . Output tilesize will be expanded to tilesize + 2 * buffer (e.g 0.5 = 257x257, 1.0 = 258x258). padding (int): Padding to apply to each tile edge. Helps reduce resampling artefacts along edges. Defaults to 0 pixel_selection (str): Pixel selection method ( cogeotiff.github.io/rio-tiler/mosaic/ ). scan_limit (int): Return as soon as we scan N items, Default is 10,000 in PgSTAC. items_limit (int): Return as soon as we have N items per geometry, Default is 100 in PgSTAC. time_limit (int): Return after N seconds to avoid long requests, Default is 5sec in PgSTAC. exitwhenfull (bool): Return as soon as the geometry is fully covered, Default is True in PgSTAC. skipcovered (bool): Skip any items that would show up completely under the previous items, Default is True in PgSTAC. Important assets OR expression is required Example: https://myendpoint/searches/f1ed59f0a6ad91ed80ae79b7b52bc707/tiles/1/2/3?assets=B01 https://myendpoint/searches/f1ed59f0a6ad91ed80ae79b7b52bc707/tiles/1/2/3.jpg?assets=B01 https://myendpoint/searches/f1ed59f0a6ad91ed80ae79b7b52bc707/tiles/WorldCRS84Quad/1/2/3@2x.png?assets=B01&assets=B02&assets=B03 https://myendpoint/searches/f1ed59f0a6ad91ed80ae79b7b52bc707/tiles/WorldCRS84Quad/1/2/3?assets=B01&rescale=0,1000&colormap_name=cfastie","title":"Tiles"},{"location":"endpoints/searches_endpoints/#tilesjson","text":":endpoint:/searches/{search_id}[/{TileMatrixSetId}]/tilejson.json PathParams: search_id : PgSTAC Search Identifier (Hash). TileMatrixSetId : TileMatrixSet name, default is WebMercatorQuad . OPTIONAL QueryParams: tile_format : Output image format, default is set to None and will be either JPEG or PNG depending on masked value. tile_scale : Tile size scale, default is set to 1 (256x256). OPTIONAL minzoom : Overwrite default minzoom. OPTIONAL maxzoom : Overwrite default maxzoom. OPTIONAL expression (str): rio-tiler's math expression with asset names (e.g Asset1_b1/Asset2_b1 ). asset_as_band (bool): tell rio-tiler that each asset is a 1 band dataset, so expression Asset1/Asset2 can be passed. asset_bidx (array[str]): Per asset band math expression (e.g Asset1|1;2;3 ). nodata (str, int, float): Overwrite internal Nodata value. unscale (bool): Apply dataset internal Scale/Offset. resampling (str): RasterIO resampling algorithm. Defaults to nearest . reproject (str): WarpKernel resampling algorithm (only used when doing re-projection). Defaults to nearest . algorithm (str): Custom algorithm name (e.g hillshade ). algorithm_params (str): JSON encoded algorithm parameters. rescale (array[str]): Comma (',') delimited Min,Max range (e.g rescale=0,1000 , rescale=0,1000&rescale=0,3000&rescale=0,2000 ). color_formula (str): rio-color formula. colormap (str): JSON encoded custom Colormap. colormap_name (str): rio-tiler color map name. return_mask (bool): Add mask to the output data. Default is True. buffer (float): Buffer on each side of the given tile. It must be a multiple of 0.5 . Output tilesize will be expanded to tilesize + 2 * buffer (e.g 0.5 = 257x257, 1.0 = 258x258). padding (int): Padding to apply to each tile edge. Helps reduce resampling artefacts along edges. Defaults to 0 pixel_selection (str): Pixel selection method ( cogeotiff.github.io/rio-tiler/mosaic/ ). scan_limit (int): Return as soon as we scan N items, Default is 10,000 in PgSTAC. items_limit (int): Return as soon as we have N items per geometry, Default is 100 in PgSTAC. time_limit (int): Return after N seconds to avoid long requests, Default is 5sec in PgSTAC. exitwhenfull (bool): Return as soon as the geometry is fully covered, Default is True in PgSTAC. skipcovered (bool): Skip any items that would show up completely under the previous items, Default is True in PgSTAC. Important assets OR expression is required Example: https://myendpoint/searches/f1ed59f0a6ad91ed80ae79b7b52bc707/tilejson.json?assets=B01 https://myendpoint/searches/f1ed59f0a6ad91ed80ae79b7b52bc707/tilejson.json?assets=B01&tile_format=png https://myendpoint/searches/f1ed59f0a6ad91ed80ae79b7b52bc707/WorldCRS84Quad/tilejson.json?assets=B01&tile_scale=2","title":"TilesJSON"},{"location":"endpoints/searches_endpoints/#wmts","text":":endpoint:/searches/{search_id}[/{TileMatrixSetId}]/WMTSCapabilities.xml PathParams: search_id : PgSTAC Search Identifier (Hash). TileMatrixSetId : TileMatrixSet name, default is WebMercatorQuad . OPTIONAL QueryParams: tile_format : Output image format, default is set to PNG. tile_scale : Tile size scale, default is set to 1 (256x256). OPTIONAL minzoom : Overwrite default minzoom. OPTIONAL maxzoom : Overwrite default maxzoom. OPTIONAL Important additional query-parameters will be forwarded to the tile URL. If no defaults mosaic metadata, assets OR expression will be required Example: https://myendpoint/searches/f1ed59f0a6ad91ed80ae79b7b52bc707/WMTSCapabilities.xml?assets=B01 https://myendpoint/searches/f1ed59f0a6ad91ed80ae79b7b52bc707/WMTSCapabilities.xml?assets=B01&tile_format=png https://myendpoint/searches/f1ed59f0a6ad91ed80ae79b7b52bc707/WorldCRS84Quad/WMTSCapabilities.xml?assets=B01&tile_scale=2","title":"WMTS"},{"location":"endpoints/searches_endpoints/#assets","text":":endpoint:/searches/{search_id}/tiles/[{TileMatrixSetId}]/{z}/{x}/{y}/assets PathParams: search_id : PgSTAC Search Identifier (Hash). TileMatrixSetId : TileMatrixSet name, default is WebMercatorQuad . OPTIONAL z : Tile's zoom level. x : Tile's column. y : Tile's row. QueryParams: scan_limit (int): Return as soon as we scan N items, Default is 10,000 in PgSTAC. items_limit (int): Return as soon as we have N items per geometry, Default is 100 in PgSTAC. time_limit (int): Return after N seconds to avoid long requests, Default is 5sec in PgSTAC. exitwhenfull (bool): Return as soon as the geometry is fully covered, Default is True in PgSTAC. skipcovered (bool): Skip any items that would show up completely under the previous items, Default is True in PgSTAC. Example: https://myendpoint/searches/f1ed59f0a6ad91ed80ae79b7b52bc707/tiles/0/0/0/assets :endpoint:/searches/{search_id}/{lon},{lat}/assets PathParams: search_id : PgSTAC Search Identifier (Hash). lon : Longitude (in WGS84 CRS). lat : Latitude (in WGS84 CRS). QueryParams: scan_limit (int): Return as soon as we scan N items, Default is 10,000 in PgSTAC. items_limit (int): Return as soon as we have N items per geometry, Default is 100 in PgSTAC. time_limit (int): Return after N seconds to avoid long requests, Default is 5sec in PgSTAC. exitwhenfull (bool): Return as soon as the geometry is fully covered, Default is True in PgSTAC. skipcovered (bool): Skip any items that would show up completely under the previous items, Default is True in PgSTAC. Example: https://myendpoint/searches/f1ed59f0a6ad91ed80ae79b7b52bc707/0.0,0.0/assets","title":"Assets"},{"location":"endpoints/searches_endpoints/#statistics","text":":endpoint:/searches/{search_id}/statistics - [POST] Body: feature (JSON): A valid GeoJSON feature or FeatureCollection PathParams: search_id : PgSTAC Search Identifier (Hash). QueryParams: assets (array[str]): asset names. expression (str): rio-tiler's math expression with asset names (e.g Asset1_b1/Asset2_b1 ). asset_as_band (bool): tell rio-tiler that each asset is a 1 band dataset, so expression Asset1/Asset2 can be passed. asset_bidx (array[str]): Per asset band math expression (e.g Asset1|1;2;3 ). coord_crs (str): Coordinate Reference System of the input geometry. Default to epsg:4326 . dst_crs (str): Output Coordinate Reference System. Default to coord_crs . max_size (int): Max image size from which to calculate statistics. height (int): Force image height from which to calculate statistics. width (int): Force image width from which to calculate statistics. nodata : Overwrite internal Nodata value. OPTIONAL unscale (bool): Apply dataset internal Scale/Offset. resampling (str): RasterIO resampling algorithm. Defaults to nearest . reproject (str): WarpKernel resampling algorithm (only used when doing re-projection). Defaults to nearest . algorithm (str): Custom algorithm name (e.g hillshade ). algorithm_params (str): JSON encoded algorithm parameters. categorical (bool): Return statistics for categorical dataset, default is false. c (array[float]): Pixels values for categories. p (array[int]): Percentile values. histogram_bins (str): Histogram bins. histogram_range (str): Comma (',') delimited Min,Max histogram bounds. pixel_selection (str): Pixel selection method ( cogeotiff.github.io/rio-tiler/mosaic/ ). scan_limit (int): Return as soon as we scan N items, Default is 10,000 in PgSTAC. items_limit (int): Return as soon as we have N items per geometry, Default is 100 in PgSTAC. time_limit (int): Return after N seconds to avoid long requests, Default is 5sec in PgSTAC. exitwhenfull (bool): Return as soon as the geometry is fully covered, Default is True in PgSTAC. skipcovered (bool): Skip any items that would show up completely under the previous items, Default is True in PgSTAC. Important if height and width are provided max_size will be ignored. Example: https://myendpoint/searches/f1ed59f0a6ad91ed80ae79b7b52bc707/statistics?assets=B01","title":"Statistics"},{"location":"endpoints/searches_endpoints/#bboxfeature","text":":endpoint:/searches/{search_id}/bbox/{minx},{miny},{maxx},{maxy}.{format} :endpoint:/searches/{search_id}/bbox/{minx},{miny},{maxx},{maxy}/{width}x{height}.{format} PathParams: search_id : PgSTAC Search Identifier (Hash). minx,miny,maxx,maxy (str): Comma (',') delimited bounding box in WGS84. format (str): Output image format. height (int): Force output image height. width (int): Force output image width. QueryParams: assets (array[str]): asset names. expression (str): rio-tiler's math expression with asset names (e.g Asset1_b1/Asset2_b1 ). asset_as_band (bool): tell rio-tiler that each asset is a 1 band dataset, so expression Asset1/Asset2 can be passed. asset_bidx (array[str]): Per asset band math expression (e.g Asset1|1;2;3 ). coord_crs (str): Coordinate Reference System of the input coordinates. Default to epsg:4326 . dst_crs (str): Output Coordinate Reference System. Default to coord_crs . max_size (int): Max image size. nodata : Overwrite internal Nodata value. OPTIONAL unscale (bool): Apply dataset internal Scale/Offset. resampling (str): RasterIO resampling algorithm. Defaults to nearest . reproject (str): WarpKernel resampling algorithm (only used when doing re-projection). Defaults to nearest . algorithm (str): Custom algorithm name (e.g hillshade ). algorithm_params (str): JSON encoded algorithm parameters. rescale (array[str]): Comma (',') delimited Min,Max range (e.g rescale=0,1000 , rescale=0,1000&rescale=0,3000&rescale=0,2000 ). color_formula (str): rio-color formula. colormap (str): JSON encoded custom Colormap. colormap_name (str): rio-tiler color map name. return_mask (bool): Add mask to the output data. Default is True. pixel_selection (str): Pixel selection method ( cogeotiff.github.io/rio-tiler/mosaic/ ). scan_limit (int): Return as soon as we scan N items, Default is 10,000 in PgSTAC. items_limit (int): Return as soon as we have N items per geometry, Default is 100 in PgSTAC. time_limit (int): Return after N seconds to avoid long requests, Default is 5sec in PgSTAC. exitwhenfull (bool): Return as soon as the geometry is fully covered, Default is True in PgSTAC. skipcovered (bool): Skip any items that would show up completely under the previous items, Default is True in PgSTAC. Important if height and width are provided max_size will be ignored. Example: https://myendpoint/searches/f1ed59f0a6ad91ed80ae79b7b52bc707/bbox/0,0,10,10.png?assets=B01 https://myendpoint/searches/f1ed59f0a6ad91ed80ae79b7b52bc707/bbox/0,0,10,10/400x300.png?assets=B01 :endpoint:/searches/{search_id}/feature[/{width}x{height}][].{format}] - [POST] Body: feature (JSON): A valid GeoJSON feature (Polygon or MultiPolygon) PathParams: search_id : PgSTAC Search Identifier (Hash). height (int): Force output image height. Optional width (int): Force output image width. Optional format (str): Output image format, default is set to None and will be either JPEG or PNG depending on masked value. Optional QueryParams: assets (array[str]): asset names. expression (str): rio-tiler's math expression with asset names (e.g Asset1_b1/Asset2_b1 ). asset_as_band (bool): tell rio-tiler that each asset is a 1 band dataset, so expression Asset1/Asset2 can be passed. asset_bidx (array[str]): Per asset band math expression (e.g Asset1|1;2;3 ). coord_crs (str): Coordinate Reference System of the input geometry. Default to epsg:4326 . dst_crs (str): Output Coordinate Reference System. Default to coord_crs . max_size (int): Max image size. nodata : Overwrite internal Nodata value. OPTIONAL unscale (bool): Apply dataset internal Scale/Offset. resampling (str): RasterIO resampling algorithm. Defaults to nearest . reproject (str): WarpKernel resampling algorithm (only used when doing re-projection). Defaults to nearest . algorithm (str): Custom algorithm name (e.g hillshade ). algorithm_params (str): JSON encoded algorithm parameters. rescale (array[str]): Comma (',') delimited Min,Max range (e.g rescale=0,1000 , rescale=0,1000&rescale=0,3000&rescale=0,2000 ). color_formula (str): rio-color formula. colormap (str): JSON encoded custom Colormap. colormap_name (str): rio-tiler color map name. return_mask (bool): Add mask to the output data. Default is True. pixel_selection (str): Pixel selection method ( cogeotiff.github.io/rio-tiler/mosaic/ ). scan_limit (int): Return as soon as we scan N items, Default is 10,000 in PgSTAC. items_limit (int): Return as soon as we have N items per geometry, Default is 100 in PgSTAC. time_limit (int): Return after N seconds to avoid long requests, Default is 5sec in PgSTAC. exitwhenfull (bool): Return as soon as the geometry is fully covered, Default is True in PgSTAC. skipcovered (bool): Skip any items that would show up completely under the previous items, Default is True in PgSTAC. Important if height and width are provided max_size will be ignored. Example: https://myendpoint/searches/f1ed59f0a6ad91ed80ae79b7b52bc707/feature?assets=B01 https://myendpoint/searches/f1ed59f0a6ad91ed80ae79b7b52bc707/feature.png?assets=B01f https://myendpoint/searches/f1ed59f0a6ad91ed80ae79b7b52bc707/feature/100x100.png?assets=B01","title":"BBOX/Feature"},{"location":"endpoints/searches_endpoints/#register-a-search-request","text":":endpoint:/searches/register - [POST] Body (a combination of Search+Metadata): A JSON body composed of a valid STAC Search query (see: github.com/radiantearth/stac-api-spec/tree/master/item-search ) and Mosaic's metadata. // titiler-pgstac search body example { // STAC search query \"collections\" : [ \"string\" ], \"ids\" : [ \"string\" ], \"bbox\" : [ \"number\" , \"number\" , \"number\" , \"number\" ], \"intersects\" : { \"type\" : \"Point\" , \"coordinates\" : [ \"number\" , \"number\" ] }, \"query\" : { \"additionalProp1\" : {}, \"additionalProp2\" : {}, \"additionalProp3\" : {} }, \"filter\" : {}, \"datetime\" : \"string\" , \"sortby\" : \"string\" , \"filter-lang\" : \"cql-json\" , // titiler-pgstac mosaic metadata \"metadata\" : { \"type\" : \"mosaic\" , \"bounds\" : [ \"number\" , \"number\" , \"number\" , \"number\" ], \"minzoom\" : \"number\" , \"maxzoom\" : \"number\" , \"name\" : \"string\" , \"assets\" : [ \"string\" , \"string\" , ], \"defaults\" : {} } } Important In titiler-pgstac we extended the regular stac search to add a metadata entry. Metadata defaults to {\"type\": \"mosaic\"} . Example: https://myendpoint/searches/register curl -X 'POST' 'http://127.0.0.1:8081/searches/register' -H 'accept: application/json' -H 'Content-Type: application/json' -d '{\"collections\":[\"landsat-c2l2-sr\"], \"bbox\":[-123.75,34.30714385628804,-118.125,38.82259097617712], \"filter-lang\": \"cql-json\"}' | jq >> { \"id\" : \"5a1b82d38d53a5d200273cbada886bd7\" , \"links\" : [ { \"rel\" : \"metadata\" , \"type\" : \"application/json\" , \"href\" : \"http://127.0.0.1:8081/searches/5a1b82d38d53a5d200273cbada886bd7/info\" } , { \"rel\" : \"tilejson\" , \"type\" : \"application/json\" , \"href\" : \"http://127.0.0.1:8081/searches/5a1b82d38d53a5d200273cbada886bd7/tilejson.json\" } ] } # or using CQL2 curl -X 'POST' 'http://127.0.0.1:8081/searches/register' -H 'accept: application/json' -H 'Content-Type: application/json' -d '{\"filter\": {\"op\": \"=\", \"args\": [{\"property\": \"collection\"}, \"landsat-c2l2-sr\"]}}' # or using CQL2 with metadata curl -X 'POST' 'http://127.0.0.1:8081/searches/register' -H 'accept: application/json' -H 'Content-Type: application/json' -d '{\"filter\": {\"op\": \"=\", \"args\": [{\"property\": \"collection\"}, \"landsat-c2l2-sr\"]}, \"metadata\": {\"name\": \"landsat mosaic\"}}'","title":"Register a Search Request"},{"location":"endpoints/searches_endpoints/#search-infos","text":":endpoint:/searches/{search_id}/info - [GET] PathParams: search_id : PgSTAC Search Identifier (Hash). Example: https://myendpoint/searches/5a1b82d38d53a5d200273cbada886bd7/info curl 'http://127.0.0.1:8081/searches/5a1b82d38d53a5d200273cbada886bd7/info' | jq >> { \"search\" : { \"hash\" : \"5a1b82d38d53a5d200273cbada886bd7\" , \"search\" : { \"bbox\" : [ -123.75, 34 .30714385628804, -118.125, 38 .82259097617712 ] , \"collections\" : [ \"landsat-c2l2-sr\" ] , \"filter-lang\" : \"cql-json\" } , \"_where\" : \"( TRUE ) AND collection_id = ANY ('{landsat-c2l2-sr}') AND geometry && '0103000020E610000001000000050000000000000000F05EC055F6687D502741400000000000F05EC02D553EA94A6943400000000000885DC02D553EA94A6943400000000000885DC055F6687D502741400000000000F05EC055F6687D50274140' \" , \"orderby\" : \"datetime DESC, id DESC\" , \"lastused\" : \"2022-03-03T11:42:07.213313+00:00\" , \"usecount\" : 2 , \"metadata\" : { \"type\" : \"mosaic\" } } , \"links\" : [ { \"rel\" : \"self\" , \"type\" : \"application/json\" , \"href\" : \"http://127.0.0.1:8081/searches/5a1b82d38d53a5d200273cbada886bd7/info\" } , { \"rel\" : \"tilejson\" , \"type\" : \"application/json\" , \"href\" : \"http://127.0.0.1:8081/searches/5a1b82d38d53a5d200273cbada886bd7/tilejson.json\" } ] }","title":"Search infos"},{"location":"endpoints/searches_endpoints/#list-searches","text":":endpoint:/searches/list - [GET] QueryParams: limit (int): Page size limit, Default is 10 . offset (int): Page offset. sortby (str): Sort the searches by Metadata properties (ascending (default) or descending ( - )). Important Additional query-parameters (form PROP=VALUE ) will be considered as a property filter . Example: https://myendpoint/searches/list https://myendpoint/searches/list?limit=100 https://myendpoint/searches/list?limit=10&offset=10 (page 2) https://myendpoint/searches/list?data=noaa (only show mosaics with metadata.data == noaa ) https://myendpoint/searches/list?sortby=lastused (sort mosaic by lastused pgstac search property) https://myendpoint/searches/list?sortby=-prop (sort mosaic (descending) by metadata.prop values)","title":"List Searches"},{"location":"endpoints/tms_endpoints/","text":"Method URL Output Description GET /tileMatrixSets JSON ( TMS list ) return the list of supported TileMatrixSet GET /tileMatrixSets/{TileMatrixSetId} JSON ( TileMatrixSet ) return the TileMatrixSet JSON document List TMS \u00b6 :endpoint:/tileMatrixSets - Get the list of supported TileMatrixSet curl https://myendpoint/tileMatrixSets | jq >> { \"tileMatrixSets\" : [ { \"id\" : \"LINZAntarticaMapTilegrid\" , \"title\" : \"LINZ Antarctic Map Tile Grid (Ross Sea Region)\" , \"links\" : [ { \"href\" : \"https://myendpoint/tileMatrixSets/LINZAntarticaMapTilegrid\" , \"rel\" : \"item\" , \"type\" : \"application/json\" } ] } , ... ] } Get TMS info \u00b6 :endpoint:/tileMatrixSets/{TileMatrixSetId} - Get the TileMatrixSet JSON document PathParams: TileMatrixSetId : TileMatrixSet name curl http://127.0.0.1:8000/tileMatrixSets/WebMercatorQuad | jq >> { \"type\" : \"TileMatrixSetType\" , \"title\" : \"Google Maps Compatible for the World\" , \"identifier\" : \"WebMercatorQuad\" , \"supportedCRS\" : \"http://www.opengis.net/def/crs/EPSG/0/3857\" , \"wellKnownScaleSet\" : \"http://www.opengis.net/def/wkss/OGC/1.0/GoogleMapsCompatible\" , \"boundingBox\" : { \"type\" : \"BoundingBoxType\" , \"crs\" : \"http://www.opengis.net/def/crs/EPSG/0/3857\" , \"lowerCorner\" : [ -20037508.3427892, -20037508.3427892 ] , \"upperCorner\" : [ 20037508 .3427892, 20037508 .3427892 ] } , \"tileMatrix\" : [ { \"type\" : \"TileMatrixType\" , \"identifier\" : \"0\" , \"scaleDenominator\" : 559082264 .028717, \"topLeftCorner\" : [ -20037508.3427892, 20037508 .3427892 ] , \"tileWidth\" : 256 , \"tileHeight\" : 256 , \"matrixWidth\" : 1 , \"matrixHeight\" : 1 } , ...","title":"TileMatrixSet"},{"location":"endpoints/tms_endpoints/#list-tms","text":":endpoint:/tileMatrixSets - Get the list of supported TileMatrixSet curl https://myendpoint/tileMatrixSets | jq >> { \"tileMatrixSets\" : [ { \"id\" : \"LINZAntarticaMapTilegrid\" , \"title\" : \"LINZ Antarctic Map Tile Grid (Ross Sea Region)\" , \"links\" : [ { \"href\" : \"https://myendpoint/tileMatrixSets/LINZAntarticaMapTilegrid\" , \"rel\" : \"item\" , \"type\" : \"application/json\" } ] } , ... ] }","title":"List TMS"},{"location":"endpoints/tms_endpoints/#get-tms-info","text":":endpoint:/tileMatrixSets/{TileMatrixSetId} - Get the TileMatrixSet JSON document PathParams: TileMatrixSetId : TileMatrixSet name curl http://127.0.0.1:8000/tileMatrixSets/WebMercatorQuad | jq >> { \"type\" : \"TileMatrixSetType\" , \"title\" : \"Google Maps Compatible for the World\" , \"identifier\" : \"WebMercatorQuad\" , \"supportedCRS\" : \"http://www.opengis.net/def/crs/EPSG/0/3857\" , \"wellKnownScaleSet\" : \"http://www.opengis.net/def/wkss/OGC/1.0/GoogleMapsCompatible\" , \"boundingBox\" : { \"type\" : \"BoundingBoxType\" , \"crs\" : \"http://www.opengis.net/def/crs/EPSG/0/3857\" , \"lowerCorner\" : [ -20037508.3427892, -20037508.3427892 ] , \"upperCorner\" : [ 20037508 .3427892, 20037508 .3427892 ] } , \"tileMatrix\" : [ { \"type\" : \"TileMatrixType\" , \"identifier\" : \"0\" , \"scaleDenominator\" : 559082264 .028717, \"topLeftCorner\" : [ -20037508.3427892, 20037508 .3427892 ] , \"tileWidth\" : 256 , \"tileHeight\" : 256 , \"matrixWidth\" : 1 , \"matrixHeight\" : 1 } , ...","title":"Get TMS info"},{"location":"migrations/v1_migration/","text":"titiler-pgstac version 1.0 introduced many breaking changes . This document aims to help with migrating your code and client application to use titiler-pgstac~=1.0 . Endpoints \u00b6 New /collections/{collection_id} endpoints \u00b6 With this new set of endpoints, there is no more need to register a PgSTAC Search in advance. The tiler will do it dynamically at request time. # Simplified version of the CollectionIdParams # https://github.com/stac-utils/titiler-pgstac/blob/7da390e42d3abaace5ca9a7172c799289e4cacf7/titiler/pgstac/dependencies.py#L37-L91 def CollectionIdParams ( request : Request , collection_id : Annotated [ str , Path ( description = \"STAC Collection Identifier\" ), ], ) -> str : \"\"\"collection_id Path Parameter\"\"\" search = model . PgSTACSearch ( collections = [ collection_id ]) with request . app . state . dbpool . connection () as conn : with conn . cursor ( row_factory = class_row ( model . Search )) as cursor : metadata = model . Metadata ( name = f \"Mosaic for ' { collection_id } ' Collection\" , ) cursor . execute ( \"SELECT * FROM search_query( %s , _metadata => %s );\" , ( search . model_dump_json ( by_alias = True , exclude_none = True ), metadata . model_dump_json ( exclude_none = True ), ), ) search_info = cursor . fetchone () return search_info . id /mosaic/{searchid} -> /searches/{search_id} \u00b6 We chose to rename the prefix of the PgSTAC Searches endpoints from /mosaic to /searches to match the collections and items endpoint prefixes. Note: We also renamed searchid to search_id but this should be seamless for users. # before resp = httpx . get ( \"/mosaic/{{ searchid }}/info\" ) # now resp = httpx . get ( \"/searches/{{ search_id }}/info\" ) Important You can change the prefix for the MosaicTilerFactory 's endpoints and could easily revert this change in your own application. from fastapi import FastAPI from titiler.pgstac.factory import ( MosaicTilerFactory , add_search_list_route , add_search_register_route , ) from titiler.pgstac.dependencies import SearchIdParams from titiler.pgstac.extensions import searchInfoExtension app = FastAPI () # STAC Search Endpoints searches = MosaicTilerFactory ( path_dependency = SearchIdParams , router_prefix = \"/mosaic/ {search_id} \" , add_statistics = True , add_viewer = True , add_part = True , extensions = [ searchInfoExtension (), ], ) app . include_router ( searches . router , tags = [ \"STAC Search\" ], prefix = \"/mosaic/ {search_id} \" ) add_search_register_route ( app , prefix = \"/mosaic\" , tile_dependencies = [ searches . layer_dependency , searches . dataset_dependency , searches . pixel_selection_dependency , searches . process_dependency , searches . rescale_dependency , searches . colormap_dependency , searches . render_dependency , searches . pgstac_dependency , searches . reader_dependency , searches . backend_dependency , ], tags = [ \"STAC Search\" ], ) add_search_list_route ( app , prefix = \"/mosaic\" , tags = [ \"STAC Search\" ]) searchid -> id \u00b6 In titiler.pgstac.model.RegisterResponse , model used in /register endpoint, we renamed searchid by id . # before resp = httpx . post ( \"/mosaic/register\" , body = { \"collections\" : [ \"my-collection\" ], \"filter-lang\" : \"cql-json\" }) assert resp . json ()[ \"searchid\" ] # now resp = httpx . post ( \"/searches/register\" , body = { \"collections\" : [ \"my-collection\" ], \"filter-lang\" : \"cql-json\" }) assert resp . json ()[ \"id\" ] API \u00b6 PathParams / ItemPathParams -> SearchIdParams / ItemIdParams \u00b6 We renamed both PathParams and ItemPathParams classes to SearchIdParams and ItemIdParams to better match with the CollectionIdParams dependency. remove /{search_id} prefix in MosaicTilerFactory \u00b6 In order to re-use the MosaicTilerFactory for collections we had to remove the /{search_id} prefix which was hardcoded in each endpoint routes. This is now added to the router_prefix . # Before app = FastAPI () mosaic = MosaicTilerFactory ( ... , router_prefix = \"/mosaics\" ) app . include_router ( mosaic . router , prefix = \"/mosaics\" ) # Now app = FastAPI () mosaic = MosaicTilerFactory ( ... router_prefix = \"/mosaics/ {search_id} \" ) app . include_router ( mosaic . router , prefix = \"/mosaics/ {search_id} \" ) path_dependency required input for MosaicTilerFactory class \u00b6 With the introduction of the collections endpoints, and because we removed the default {search_id} prefix, we cannot default to SearchIdParams for the path_dependency (the dependency which sends the PgSTAC search identifier to the Mosaic Reader) and thus is now a required attribute when initializing the endpoints. # before app = FastAPI () mosaic = MosaicTilerFactory ( ... ) app . include_router ( mosaic . router ) # now app = FastAPI () mosaic = MosaicTilerFactory ( ... , path_dependency = lambda : \"aaaaaaaaaaaaaa\" ) app . include_router ( mosaic . router ) searchInfoExtension \u00b6 We moved the MosaicTilerFactory info endpoint outside the class to its own extension. # Before app = FastAPI () mosaic = MosaicTilerFactory ( ... ) app . include_router ( mosaic . router ) # Now app = FastAPI () mosaic = MosaicTilerFactory ( ... extensions = [ searchInfoExtension (), ] ) app . include_router ( mosaic . router ) Register and List endpoints \u00b6 we moved the /register and /list endpoints creation outside the MosaicTilerFactory class because they are not usable for the collection's endpoint and do not need the /{search_id} prefix. # before from titiler.pgstac.factory import MosaicTilerFactory mosaic = MosaicTilerFactory ( ... , router_prefix = \"/ {search_id} \" , ) app . include_router ( mosaic . router , prefix = \"/ {search_id} \" ) # Now from titiler.pgstac.factory import ( MosaicTilerFactory , add_search_register_route , add_mosaic_register_route , ) mosaic = MosaicTilerFactory ( ... , router_prefix = \"/ {search_id} \" , ) app . include_router ( mosaic . router , prefix = \"/ {search_id} \" ) # add /register endpoint add_search_register_route ( app , # any dependency we want to validate # when creating the tilejson/map links tile_dependencies = [ mosaic . layer_dependency , mosaic . dataset_dependency , mosaic . pixel_selection_dependency , mosaic . process_dependency , mosaic . rescale_dependency , mosaic . colormap_dependency , mosaic . render_dependency , mosaic . pgstac_dependency , mosaic . reader_dependency , mosaic . backend_dependency , ], ) # add /list endpoint add_search_list_route ( app )","title":"v0.8 -> v1.0"},{"location":"migrations/v1_migration/#endpoints","text":"","title":"Endpoints"},{"location":"migrations/v1_migration/#new-collectionscollection_id-endpoints","text":"With this new set of endpoints, there is no more need to register a PgSTAC Search in advance. The tiler will do it dynamically at request time. # Simplified version of the CollectionIdParams # https://github.com/stac-utils/titiler-pgstac/blob/7da390e42d3abaace5ca9a7172c799289e4cacf7/titiler/pgstac/dependencies.py#L37-L91 def CollectionIdParams ( request : Request , collection_id : Annotated [ str , Path ( description = \"STAC Collection Identifier\" ), ], ) -> str : \"\"\"collection_id Path Parameter\"\"\" search = model . PgSTACSearch ( collections = [ collection_id ]) with request . app . state . dbpool . connection () as conn : with conn . cursor ( row_factory = class_row ( model . Search )) as cursor : metadata = model . Metadata ( name = f \"Mosaic for ' { collection_id } ' Collection\" , ) cursor . execute ( \"SELECT * FROM search_query( %s , _metadata => %s );\" , ( search . model_dump_json ( by_alias = True , exclude_none = True ), metadata . model_dump_json ( exclude_none = True ), ), ) search_info = cursor . fetchone () return search_info . id","title":"New /collections/{collection_id} endpoints"},{"location":"migrations/v1_migration/#mosaicsearchid-searchessearch_id","text":"We chose to rename the prefix of the PgSTAC Searches endpoints from /mosaic to /searches to match the collections and items endpoint prefixes. Note: We also renamed searchid to search_id but this should be seamless for users. # before resp = httpx . get ( \"/mosaic/{{ searchid }}/info\" ) # now resp = httpx . get ( \"/searches/{{ search_id }}/info\" ) Important You can change the prefix for the MosaicTilerFactory 's endpoints and could easily revert this change in your own application. from fastapi import FastAPI from titiler.pgstac.factory import ( MosaicTilerFactory , add_search_list_route , add_search_register_route , ) from titiler.pgstac.dependencies import SearchIdParams from titiler.pgstac.extensions import searchInfoExtension app = FastAPI () # STAC Search Endpoints searches = MosaicTilerFactory ( path_dependency = SearchIdParams , router_prefix = \"/mosaic/ {search_id} \" , add_statistics = True , add_viewer = True , add_part = True , extensions = [ searchInfoExtension (), ], ) app . include_router ( searches . router , tags = [ \"STAC Search\" ], prefix = \"/mosaic/ {search_id} \" ) add_search_register_route ( app , prefix = \"/mosaic\" , tile_dependencies = [ searches . layer_dependency , searches . dataset_dependency , searches . pixel_selection_dependency , searches . process_dependency , searches . rescale_dependency , searches . colormap_dependency , searches . render_dependency , searches . pgstac_dependency , searches . reader_dependency , searches . backend_dependency , ], tags = [ \"STAC Search\" ], ) add_search_list_route ( app , prefix = \"/mosaic\" , tags = [ \"STAC Search\" ])","title":"/mosaic/{searchid} -> /searches/{search_id}"},{"location":"migrations/v1_migration/#searchid-id","text":"In titiler.pgstac.model.RegisterResponse , model used in /register endpoint, we renamed searchid by id . # before resp = httpx . post ( \"/mosaic/register\" , body = { \"collections\" : [ \"my-collection\" ], \"filter-lang\" : \"cql-json\" }) assert resp . json ()[ \"searchid\" ] # now resp = httpx . post ( \"/searches/register\" , body = { \"collections\" : [ \"my-collection\" ], \"filter-lang\" : \"cql-json\" }) assert resp . json ()[ \"id\" ]","title":"searchid -> id"},{"location":"migrations/v1_migration/#api","text":"","title":"API"},{"location":"migrations/v1_migration/#pathparams-itempathparams-searchidparams-itemidparams","text":"We renamed both PathParams and ItemPathParams classes to SearchIdParams and ItemIdParams to better match with the CollectionIdParams dependency.","title":"PathParams / ItemPathParams -> SearchIdParams / ItemIdParams"},{"location":"migrations/v1_migration/#remove-search_id-prefix-in-mosaictilerfactory","text":"In order to re-use the MosaicTilerFactory for collections we had to remove the /{search_id} prefix which was hardcoded in each endpoint routes. This is now added to the router_prefix . # Before app = FastAPI () mosaic = MosaicTilerFactory ( ... , router_prefix = \"/mosaics\" ) app . include_router ( mosaic . router , prefix = \"/mosaics\" ) # Now app = FastAPI () mosaic = MosaicTilerFactory ( ... router_prefix = \"/mosaics/ {search_id} \" ) app . include_router ( mosaic . router , prefix = \"/mosaics/ {search_id} \" )","title":"remove /{search_id} prefix in MosaicTilerFactory"},{"location":"migrations/v1_migration/#path_dependency-required-input-for-mosaictilerfactory-class","text":"With the introduction of the collections endpoints, and because we removed the default {search_id} prefix, we cannot default to SearchIdParams for the path_dependency (the dependency which sends the PgSTAC search identifier to the Mosaic Reader) and thus is now a required attribute when initializing the endpoints. # before app = FastAPI () mosaic = MosaicTilerFactory ( ... ) app . include_router ( mosaic . router ) # now app = FastAPI () mosaic = MosaicTilerFactory ( ... , path_dependency = lambda : \"aaaaaaaaaaaaaa\" ) app . include_router ( mosaic . router )","title":"path_dependency required input for MosaicTilerFactory class"},{"location":"migrations/v1_migration/#searchinfoextension","text":"We moved the MosaicTilerFactory info endpoint outside the class to its own extension. # Before app = FastAPI () mosaic = MosaicTilerFactory ( ... ) app . include_router ( mosaic . router ) # Now app = FastAPI () mosaic = MosaicTilerFactory ( ... extensions = [ searchInfoExtension (), ] ) app . include_router ( mosaic . router )","title":"searchInfoExtension"},{"location":"migrations/v1_migration/#register-and-list-endpoints","text":"we moved the /register and /list endpoints creation outside the MosaicTilerFactory class because they are not usable for the collection's endpoint and do not need the /{search_id} prefix. # before from titiler.pgstac.factory import MosaicTilerFactory mosaic = MosaicTilerFactory ( ... , router_prefix = \"/ {search_id} \" , ) app . include_router ( mosaic . router , prefix = \"/ {search_id} \" ) # Now from titiler.pgstac.factory import ( MosaicTilerFactory , add_search_register_route , add_mosaic_register_route , ) mosaic = MosaicTilerFactory ( ... , router_prefix = \"/ {search_id} \" , ) app . include_router ( mosaic . router , prefix = \"/ {search_id} \" ) # add /register endpoint add_search_register_route ( app , # any dependency we want to validate # when creating the tilejson/map links tile_dependencies = [ mosaic . layer_dependency , mosaic . dataset_dependency , mosaic . pixel_selection_dependency , mosaic . process_dependency , mosaic . rescale_dependency , mosaic . colormap_dependency , mosaic . render_dependency , mosaic . pgstac_dependency , mosaic . reader_dependency , mosaic . backend_dependency , ], ) # add /list endpoint add_search_list_route ( app )","title":"Register and List endpoints"},{"location":"notebooks/demo/","text":"(function (global, factory) { typeof exports === 'object' && typeof module !== 'undefined' ? module.exports = factory() : typeof define === 'function' && define.amd ? define(factory) : (global = global || self, global.ClipboardCopyElement = factory()); }(this, function () { 'use strict'; function createNode(text) { const node = document.createElement('pre'); node.style.width = '1px'; node.style.height = '1px'; node.style.position = 'fixed'; node.style.top = '5px'; node.textContent = text; return node; } function copyNode(node) { if ('clipboard' in navigator) { // eslint-disable-next-line flowtype/no-flow-fix-me-comments // $FlowFixMe Clipboard is not defined in Flow yet. return navigator.clipboard.writeText(node.textContent); } const selection = getSelection(); if (selection == null) { return Promise.reject(new Error()); } selection.removeAllRanges(); const range = document.createRange(); range.selectNodeContents(node); selection.addRange(range); document.execCommand('copy'); selection.removeAllRanges(); return Promise.resolve(); } function copyText(text) { if ('clipboard' in navigator) { // eslint-disable-next-line flowtype/no-flow-fix-me-comments // $FlowFixMe Clipboard is not defined in Flow yet. return navigator.clipboard.writeText(text); } const body = document.body; if (!body) { return Promise.reject(new Error()); } const node = createNode(text); body.appendChild(node); copyNode(node); body.removeChild(node); return Promise.resolve(); } function copy(button) { const id = button.getAttribute('for'); const text = button.getAttribute('value'); function trigger() { button.dispatchEvent(new CustomEvent('clipboard-copy', { bubbles: true })); } if (text) { copyText(text).then(trigger); } else if (id) { const root = 'getRootNode' in Element.prototype ? button.getRootNode() : button.ownerDocument; if (!(root instanceof Document || 'ShadowRoot' in window && root instanceof ShadowRoot)) return; const node = root.getElementById(id); if (node) copyTarget(node).then(trigger); } } function copyTarget(content) { if (content instanceof HTMLInputElement || content instanceof HTMLTextAreaElement) { return copyText(content.value); } else if (content instanceof HTMLAnchorElement && content.hasAttribute('href')) { return copyText(content.href); } else { return copyNode(content); } } function clicked(event) { const button = event.currentTarget; if (button instanceof HTMLElement) { copy(button); } } function keydown(event) { if (event.key === ' ' || event.key === 'Enter') { const button = event.currentTarget; if (button instanceof HTMLElement) { event.preventDefault(); copy(button); } } } function focused(event) { event.currentTarget.addEventListener('keydown', keydown); } function blurred(event) { event.currentTarget.removeEventListener('keydown', keydown); } class ClipboardCopyElement extends HTMLElement { constructor() { super(); this.addEventListener('click', clicked); this.addEventListener('focus', focused); this.addEventListener('blur', blurred); } connectedCallback() { if (!this.hasAttribute('tabindex')) { this.setAttribute('tabindex', '0'); } if (!this.hasAttribute('role')) { this.setAttribute('role', 'button'); } } get value() { return this.getAttribute('value') || ''; } set value(text) { this.setAttribute('value', text); } } if (!window.customElements.get('clipboard-copy')) { window.ClipboardCopyElement = ClipboardCopyElement; window.customElements.define('clipboard-copy', ClipboardCopyElement); } return ClipboardCopyElement; })); document.addEventListener('clipboard-copy', function(event) { const notice = event.target.querySelector('.notice') notice.hidden = false setTimeout(function() { notice.hidden = true }, 1000) }) pre { line-height: 125%; } td.linenos .normal { color: inherit; background-color: transparent; padding-left: 5px; padding-right: 5px; } span.linenos { color: inherit; background-color: transparent; padding-left: 5px; padding-right: 5px; } td.linenos .special { color: #000000; background-color: #ffffc0; padding-left: 5px; padding-right: 5px; } span.linenos.special { color: #000000; background-color: #ffffc0; padding-left: 5px; padding-right: 5px; } .highlight-ipynb .hll { background-color: var(--jp-cell-editor-active-background) } .highlight-ipynb { background: var(--jp-cell-editor-background); 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These particular numbers are taken from here: * * https://github.com/material-components/material-components-web * https://material-components-web.appspot.com/elevation.html */ --jp-shadow-base-lightness: 0; --jp-shadow-umbra-color: rgba( var(--jp-shadow-base-lightness), var(--jp-shadow-base-lightness), var(--jp-shadow-base-lightness), 0.2 ); --jp-shadow-penumbra-color: rgba( var(--jp-shadow-base-lightness), var(--jp-shadow-base-lightness), var(--jp-shadow-base-lightness), 0.14 ); --jp-shadow-ambient-color: rgba( var(--jp-shadow-base-lightness), var(--jp-shadow-base-lightness), var(--jp-shadow-base-lightness), 0.12 ); --jp-elevation-z0: none; --jp-elevation-z1: 0px 2px 1px -1px var(--jp-shadow-umbra-color), 0px 1px 1px 0px var(--jp-shadow-penumbra-color), 0px 1px 3px 0px var(--jp-shadow-ambient-color); --jp-elevation-z2: 0px 3px 1px -2px var(--jp-shadow-umbra-color), 0px 2px 2px 0px var(--jp-shadow-penumbra-color), 0px 1px 5px 0px var(--jp-shadow-ambient-color); --jp-elevation-z4: 0px 2px 4px -1px var(--jp-shadow-umbra-color), 0px 4px 5px 0px var(--jp-shadow-penumbra-color), 0px 1px 10px 0px var(--jp-shadow-ambient-color); --jp-elevation-z6: 0px 3px 5px -1px var(--jp-shadow-umbra-color), 0px 6px 10px 0px var(--jp-shadow-penumbra-color), 0px 1px 18px 0px var(--jp-shadow-ambient-color); --jp-elevation-z8: 0px 5px 5px -3px var(--jp-shadow-umbra-color), 0px 8px 10px 1px var(--jp-shadow-penumbra-color), 0px 3px 14px 2px var(--jp-shadow-ambient-color); --jp-elevation-z12: 0px 7px 8px -4px var(--jp-shadow-umbra-color), 0px 12px 17px 2px var(--jp-shadow-penumbra-color), 0px 5px 22px 4px var(--jp-shadow-ambient-color); --jp-elevation-z16: 0px 8px 10px -5px var(--jp-shadow-umbra-color), 0px 16px 24px 2px var(--jp-shadow-penumbra-color), 0px 6px 30px 5px var(--jp-shadow-ambient-color); --jp-elevation-z20: 0px 10px 13px -6px var(--jp-shadow-umbra-color), 0px 20px 31px 3px var(--jp-shadow-penumbra-color), 0px 8px 38px 7px var(--jp-shadow-ambient-color); --jp-elevation-z24: 0px 11px 15px -7px var(--jp-shadow-umbra-color), 0px 24px 38px 3px var(--jp-shadow-penumbra-color), 0px 9px 46px 8px var(--jp-shadow-ambient-color); /* Borders * * The following variables, specify the visual styling of borders in JupyterLab. */ --jp-border-width: 1px; --jp-border-color0: var(--md-grey-400); --jp-border-color1: var(--md-grey-400); --jp-border-color2: var(--md-grey-300); --jp-border-color3: var(--md-grey-200); --jp-border-radius: 2px; /* UI Fonts * * The UI font CSS variables are used for the typography all of the JupyterLab * user interface elements that are not directly user generated content. * * The font sizing here is done assuming that the body font size of --jp-ui-font-size1 * is applied to a parent element. When children elements, such as headings, are sized * in em all things will be computed relative to that body size. */ --jp-ui-font-scale-factor: 1.2; --jp-ui-font-size0: 0.83333em; --jp-ui-font-size1: 13px; /* Base font size */ --jp-ui-font-size2: 1.2em; --jp-ui-font-size3: 1.44em; --jp-ui-font-family: -apple-system, BlinkMacSystemFont, \"Segoe UI\", Helvetica, Arial, sans-serif, \"Apple Color Emoji\", \"Segoe UI Emoji\", \"Segoe UI Symbol\"; /* * Use these font colors against the corresponding main layout colors. * In a light theme, these go from dark to light. */ /* Defaults use Material Design specification */ --jp-ui-font-color0: rgba(0, 0, 0, 1); --jp-ui-font-color1: rgba(0, 0, 0, 0.87); --jp-ui-font-color2: rgba(0, 0, 0, 0.54); --jp-ui-font-color3: rgba(0, 0, 0, 0.38); /* * Use these against the brand/accent/warn/error colors. * These will typically go from light to darker, in both a dark and light theme. */ --jp-ui-inverse-font-color0: rgba(255, 255, 255, 1); --jp-ui-inverse-font-color1: rgba(255, 255, 255, 1); --jp-ui-inverse-font-color2: rgba(255, 255, 255, 0.7); --jp-ui-inverse-font-color3: rgba(255, 255, 255, 0.5); /* Content Fonts * * Content font variables are used for typography of user generated content. * * The font sizing here is done assuming that the body font size of --jp-content-font-size1 * is applied to a parent element. When children elements, such as headings, are sized * in em all things will be computed relative to that body size. */ --jp-content-line-height: 1.6; --jp-content-font-scale-factor: 1.2; --jp-content-font-size0: 0.83333em; --jp-content-font-size1: 14px; /* Base font size */ --jp-content-font-size2: 1.2em; --jp-content-font-size3: 1.44em; --jp-content-font-size4: 1.728em; --jp-content-font-size5: 2.0736em; /* This gives a magnification of about 125% in presentation mode over normal. */ --jp-content-presentation-font-size1: 17px; --jp-content-heading-line-height: 1; --jp-content-heading-margin-top: 1.2em; --jp-content-heading-margin-bottom: 0.8em; --jp-content-heading-font-weight: 500; /* Defaults use Material Design specification */ --jp-content-font-color0: rgba(0, 0, 0, 1); --jp-content-font-color1: rgba(0, 0, 0, 0.87); --jp-content-font-color2: rgba(0, 0, 0, 0.54); --jp-content-font-color3: rgba(0, 0, 0, 0.38); --jp-content-link-color: var(--md-blue-700); --jp-content-font-family: -apple-system, BlinkMacSystemFont, \"Segoe UI\", Helvetica, Arial, sans-serif, \"Apple Color Emoji\", \"Segoe UI Emoji\", \"Segoe UI Symbol\"; /* * Code Fonts * * Code font variables are used for typography of code and other monospaces content. */ --jp-code-font-size: 13px; --jp-code-line-height: 1.3077; /* 17px for 13px base */ --jp-code-padding: 5px; /* 5px for 13px base, codemirror highlighting needs integer px value */ --jp-code-font-family-default: Menlo, Consolas, \"DejaVu Sans Mono\", monospace; --jp-code-font-family: var(--jp-code-font-family-default); /* This gives a magnification of about 125% in presentation mode over normal. */ --jp-code-presentation-font-size: 16px; /* may need to tweak cursor width if you change font size */ --jp-code-cursor-width0: 1.4px; --jp-code-cursor-width1: 2px; --jp-code-cursor-width2: 4px; /* Layout * * The following are the main layout colors use in JupyterLab. In a light * theme these would go from light to dark. */ --jp-layout-color0: white; --jp-layout-color1: white; --jp-layout-color2: var(--md-grey-200); --jp-layout-color3: var(--md-grey-400); --jp-layout-color4: var(--md-grey-600); /* Inverse Layout * * The following are the inverse layout colors use in JupyterLab. In a light * theme these would go from dark to light. */ --jp-inverse-layout-color0: #111111; --jp-inverse-layout-color1: var(--md-grey-900); --jp-inverse-layout-color2: var(--md-grey-800); --jp-inverse-layout-color3: var(--md-grey-700); --jp-inverse-layout-color4: var(--md-grey-600); /* Brand/accent */ --jp-brand-color0: var(--md-blue-900); --jp-brand-color1: var(--md-blue-700); --jp-brand-color2: var(--md-blue-300); --jp-brand-color3: var(--md-blue-100); --jp-brand-color4: var(--md-blue-50); --jp-accent-color0: var(--md-green-900); --jp-accent-color1: var(--md-green-700); --jp-accent-color2: var(--md-green-300); --jp-accent-color3: var(--md-green-100); /* State colors (warn, error, success, info) */ --jp-warn-color0: var(--md-orange-900); --jp-warn-color1: var(--md-orange-700); --jp-warn-color2: var(--md-orange-300); --jp-warn-color3: var(--md-orange-100); --jp-error-color0: var(--md-red-900); --jp-error-color1: var(--md-red-700); --jp-error-color2: var(--md-red-300); --jp-error-color3: var(--md-red-100); --jp-success-color0: var(--md-green-900); --jp-success-color1: var(--md-green-700); --jp-success-color2: var(--md-green-300); --jp-success-color3: var(--md-green-100); --jp-info-color0: var(--md-cyan-900); --jp-info-color1: var(--md-cyan-700); --jp-info-color2: var(--md-cyan-300); --jp-info-color3: var(--md-cyan-100); /* Cell specific styles */ --jp-cell-padding: 5px; --jp-cell-collapser-width: 8px; --jp-cell-collapser-min-height: 20px; --jp-cell-collapser-not-active-hover-opacity: 0.6; --jp-cell-editor-background: var(--md-grey-100); --jp-cell-editor-border-color: var(--md-grey-300); --jp-cell-editor-box-shadow: inset 0 0 2px var(--md-blue-300); --jp-cell-editor-active-background: var(--jp-layout-color0); --jp-cell-editor-active-border-color: var(--jp-brand-color1); --jp-cell-prompt-width: 64px; --jp-cell-prompt-font-family: var(--jp-code-font-family-default); --jp-cell-prompt-letter-spacing: 0px; --jp-cell-prompt-opacity: 1; --jp-cell-prompt-not-active-opacity: 0.5; --jp-cell-prompt-not-active-font-color: var(--md-grey-700); /* A custom blend of MD grey and blue 600 * See https://meyerweb.com/eric/tools/color-blend/#546E7A:1E88E5:5:hex */ --jp-cell-inprompt-font-color: #307fc1; /* A custom blend of MD grey and orange 600 * https://meyerweb.com/eric/tools/color-blend/#546E7A:F4511E:5:hex */ --jp-cell-outprompt-font-color: #bf5b3d; /* Notebook specific styles */ --jp-notebook-padding: 10px; --jp-notebook-select-background: var(--jp-layout-color1); --jp-notebook-multiselected-color: var(--md-blue-50); /* The scroll padding is calculated to fill enough space at the bottom of the notebook to show one single-line cell (with appropriate padding) at the top when the notebook is scrolled all the way to the bottom. We also subtract one pixel so that no scrollbar appears if we have just one single-line cell in the notebook. This padding is to enable a 'scroll past end' feature in a notebook. */ --jp-notebook-scroll-padding: calc( 100% - var(--jp-code-font-size) * var(--jp-code-line-height) - var(--jp-code-padding) - var(--jp-cell-padding) - 1px ); /* Rendermime styles */ --jp-rendermime-error-background: #fdd; --jp-rendermime-table-row-background: var(--md-grey-100); --jp-rendermime-table-row-hover-background: var(--md-light-blue-50); /* Dialog specific styles */ --jp-dialog-background: rgba(0, 0, 0, 0.25); /* Console specific styles */ --jp-console-padding: 10px; /* Toolbar specific styles */ --jp-toolbar-border-color: var(--jp-border-color1); --jp-toolbar-micro-height: 8px; --jp-toolbar-background: var(--jp-layout-color1); --jp-toolbar-box-shadow: 0px 0px 2px 0px rgba(0, 0, 0, 0.24); --jp-toolbar-header-margin: 4px 4px 0px 4px; --jp-toolbar-active-background: var(--md-grey-300); /* Statusbar specific styles */ --jp-statusbar-height: 24px; /* Input field styles */ --jp-input-box-shadow: inset 0 0 2px var(--md-blue-300); --jp-input-active-background: var(--jp-layout-color1); --jp-input-hover-background: var(--jp-layout-color1); --jp-input-background: var(--md-grey-100); --jp-input-border-color: var(--jp-border-color1); --jp-input-active-border-color: var(--jp-brand-color1); --jp-input-active-box-shadow-color: rgba(19, 124, 189, 0.3); /* General editor styles */ --jp-editor-selected-background: #d9d9d9; --jp-editor-selected-focused-background: #d7d4f0; --jp-editor-cursor-color: var(--jp-ui-font-color0); /* Code mirror specific styles */ --jp-mirror-editor-keyword-color: #008000; --jp-mirror-editor-atom-color: #88f; --jp-mirror-editor-number-color: #080; --jp-mirror-editor-def-color: #00f; --jp-mirror-editor-variable-color: var(--md-grey-900); --jp-mirror-editor-variable-2-color: #05a; --jp-mirror-editor-variable-3-color: #085; --jp-mirror-editor-punctuation-color: #05a; --jp-mirror-editor-property-color: #05a; --jp-mirror-editor-operator-color: #aa22ff; --jp-mirror-editor-comment-color: #408080; --jp-mirror-editor-string-color: #ba2121; --jp-mirror-editor-string-2-color: #708; --jp-mirror-editor-meta-color: #aa22ff; --jp-mirror-editor-qualifier-color: #555; --jp-mirror-editor-builtin-color: #008000; --jp-mirror-editor-bracket-color: #997; --jp-mirror-editor-tag-color: #170; --jp-mirror-editor-attribute-color: #00c; --jp-mirror-editor-header-color: blue; --jp-mirror-editor-quote-color: #090; --jp-mirror-editor-link-color: #00c; --jp-mirror-editor-error-color: #f00; --jp-mirror-editor-hr-color: #999; /* Vega extension styles */ --jp-vega-background: white; /* Sidebar-related styles */ --jp-sidebar-min-width: 250px; /* Search-related styles */ --jp-search-toggle-off-opacity: 0.5; --jp-search-toggle-hover-opacity: 0.8; --jp-search-toggle-on-opacity: 1; --jp-search-selected-match-background-color: rgb(245, 200, 0); --jp-search-selected-match-color: black; --jp-search-unselected-match-background-color: var( --jp-inverse-layout-color0 ); --jp-search-unselected-match-color: var(--jp-ui-inverse-font-color0); /* Icon colors that work well with light or dark backgrounds */ --jp-icon-contrast-color0: var(--md-purple-600); --jp-icon-contrast-color1: var(--md-green-600); --jp-icon-contrast-color2: var(--md-pink-600); --jp-icon-contrast-color3: var(--md-blue-600); } [data-md-color-scheme=\"slate\"] .jupyter-wrapper { /* Elevation * * We style box-shadows using Material Design's idea of elevation. These particular numbers are taken from here: * * https://github.com/material-components/material-components-web * https://material-components-web.appspot.com/elevation.html */ /* The dark theme shadows need a bit of work, but this will probably also require work on the core layout * colors used in the theme as well. */ --jp-shadow-base-lightness: 32; --jp-shadow-umbra-color: rgba( var(--jp-shadow-base-lightness), var(--jp-shadow-base-lightness), var(--jp-shadow-base-lightness), 0.2 ); --jp-shadow-penumbra-color: rgba( var(--jp-shadow-base-lightness), var(--jp-shadow-base-lightness), var(--jp-shadow-base-lightness), 0.14 ); --jp-shadow-ambient-color: rgba( var(--jp-shadow-base-lightness), var(--jp-shadow-base-lightness), var(--jp-shadow-base-lightness), 0.12 ); --jp-elevation-z0: none; --jp-elevation-z1: 0px 2px 1px -1px var(--jp-shadow-umbra-color), 0px 1px 1px 0px var(--jp-shadow-penumbra-color), 0px 1px 3px 0px var(--jp-shadow-ambient-color); --jp-elevation-z2: 0px 3px 1px -2px var(--jp-shadow-umbra-color), 0px 2px 2px 0px var(--jp-shadow-penumbra-color), 0px 1px 5px 0px var(--jp-shadow-ambient-color); --jp-elevation-z4: 0px 2px 4px -1px var(--jp-shadow-umbra-color), 0px 4px 5px 0px var(--jp-shadow-penumbra-color), 0px 1px 10px 0px var(--jp-shadow-ambient-color); --jp-elevation-z6: 0px 3px 5px -1px var(--jp-shadow-umbra-color), 0px 6px 10px 0px var(--jp-shadow-penumbra-color), 0px 1px 18px 0px var(--jp-shadow-ambient-color); --jp-elevation-z8: 0px 5px 5px -3px var(--jp-shadow-umbra-color), 0px 8px 10px 1px var(--jp-shadow-penumbra-color), 0px 3px 14px 2px var(--jp-shadow-ambient-color); --jp-elevation-z12: 0px 7px 8px -4px var(--jp-shadow-umbra-color), 0px 12px 17px 2px var(--jp-shadow-penumbra-color), 0px 5px 22px 4px var(--jp-shadow-ambient-color); --jp-elevation-z16: 0px 8px 10px -5px var(--jp-shadow-umbra-color), 0px 16px 24px 2px var(--jp-shadow-penumbra-color), 0px 6px 30px 5px var(--jp-shadow-ambient-color); --jp-elevation-z20: 0px 10px 13px -6px var(--jp-shadow-umbra-color), 0px 20px 31px 3px var(--jp-shadow-penumbra-color), 0px 8px 38px 7px var(--jp-shadow-ambient-color); --jp-elevation-z24: 0px 11px 15px -7px var(--jp-shadow-umbra-color), 0px 24px 38px 3px var(--jp-shadow-penumbra-color), 0px 9px 46px 8px var(--jp-shadow-ambient-color); /* Borders * * The following variables, specify the visual styling of borders in JupyterLab. */ --jp-border-width: 1px; --jp-border-color0: var(--md-grey-700); --jp-border-color1: var(--md-grey-700); --jp-border-color2: var(--md-grey-800); --jp-border-color3: var(--md-grey-900); --jp-border-radius: 2px; /* UI Fonts * * The UI font CSS variables are used for the typography all of the JupyterLab * user interface elements that are not directly user generated content. * * The font sizing here is done assuming that the body font size of --jp-ui-font-size1 * is applied to a parent element. When children elements, such as headings, are sized * in em all things will be computed relative to that body size. */ --jp-ui-font-scale-factor: 1.2; --jp-ui-font-size0: 0.83333em; --jp-ui-font-size1: 13px; /* Base font size */ --jp-ui-font-size2: 1.2em; --jp-ui-font-size3: 1.44em; --jp-ui-font-family: -apple-system, BlinkMacSystemFont, \"Segoe UI\", Helvetica, Arial, sans-serif, \"Apple Color Emoji\", \"Segoe UI Emoji\", \"Segoe UI Symbol\"; /* * Use these font colors against the corresponding main layout colors. * In a light theme, these go from dark to light. */ /* Defaults use Material Design specification */ --jp-ui-font-color0: rgba(255, 255, 255, 1); --jp-ui-font-color1: rgba(255, 255, 255, 0.87); --jp-ui-font-color2: rgba(255, 255, 255, 0.54); --jp-ui-font-color3: rgba(255, 255, 255, 0.38); /* * Use these against the brand/accent/warn/error colors. * These will typically go from light to darker, in both a dark and light theme. */ --jp-ui-inverse-font-color0: rgba(0, 0, 0, 1); --jp-ui-inverse-font-color1: rgba(0, 0, 0, 0.8); --jp-ui-inverse-font-color2: rgba(0, 0, 0, 0.5); --jp-ui-inverse-font-color3: rgba(0, 0, 0, 0.3); /* Content Fonts * * Content font variables are used for typography of user generated content. * * The font sizing here is done assuming that the body font size of --jp-content-font-size1 * is applied to a parent element. When children elements, such as headings, are sized * in em all things will be computed relative to that body size. */ --jp-content-line-height: 1.6; --jp-content-font-scale-factor: 1.2; --jp-content-font-size0: 0.83333em; --jp-content-font-size1: 14px; /* Base font size */ --jp-content-font-size2: 1.2em; --jp-content-font-size3: 1.44em; --jp-content-font-size4: 1.728em; --jp-content-font-size5: 2.0736em; /* This gives a magnification of about 125% in presentation mode over normal. */ --jp-content-presentation-font-size1: 17px; --jp-content-heading-line-height: 1; --jp-content-heading-margin-top: 1.2em; --jp-content-heading-margin-bottom: 0.8em; --jp-content-heading-font-weight: 500; /* Defaults use Material Design specification */ --jp-content-font-color0: rgba(255, 255, 255, 1); --jp-content-font-color1: rgba(255, 255, 255, 1); --jp-content-font-color2: rgba(255, 255, 255, 0.7); --jp-content-font-color3: rgba(255, 255, 255, 0.5); --jp-content-link-color: var(--md-blue-300); --jp-content-font-family: -apple-system, BlinkMacSystemFont, \"Segoe UI\", Helvetica, Arial, sans-serif, \"Apple Color Emoji\", \"Segoe UI Emoji\", \"Segoe UI Symbol\"; /* * Code Fonts * * Code font variables are used for typography of code and other monospaces content. */ --jp-code-font-size: 13px; --jp-code-line-height: 1.3077; /* 17px for 13px base */ --jp-code-padding: 5px; /* 5px for 13px base, codemirror highlighting needs integer px value */ --jp-code-font-family-default: Menlo, Consolas, \"DejaVu Sans Mono\", monospace; --jp-code-font-family: var(--jp-code-font-family-default); /* This gives a magnification of about 125% in presentation mode over normal. */ --jp-code-presentation-font-size: 16px; /* may need to tweak cursor width if you change font size */ --jp-code-cursor-width0: 1.4px; --jp-code-cursor-width1: 2px; --jp-code-cursor-width2: 4px; /* Layout * * The following are the main layout colors use in JupyterLab. In a light * theme these would go from light to dark. */ --jp-layout-color0: #111111; --jp-layout-color1: var(--md-grey-900); --jp-layout-color2: var(--md-grey-800); --jp-layout-color3: var(--md-grey-700); --jp-layout-color4: var(--md-grey-600); /* Inverse Layout * * The following are the inverse layout colors use in JupyterLab. In a light * theme these would go from dark to light. */ --jp-inverse-layout-color0: white; --jp-inverse-layout-color1: white; --jp-inverse-layout-color2: var(--md-grey-200); --jp-inverse-layout-color3: var(--md-grey-400); --jp-inverse-layout-color4: var(--md-grey-600); /* Brand/accent */ --jp-brand-color0: var(--md-blue-700); --jp-brand-color1: var(--md-blue-500); --jp-brand-color2: var(--md-blue-300); --jp-brand-color3: var(--md-blue-100); --jp-brand-color4: var(--md-blue-50); --jp-accent-color0: var(--md-green-700); --jp-accent-color1: var(--md-green-500); --jp-accent-color2: var(--md-green-300); --jp-accent-color3: var(--md-green-100); /* State colors (warn, error, success, info) */ --jp-warn-color0: var(--md-orange-700); --jp-warn-color1: var(--md-orange-500); --jp-warn-color2: var(--md-orange-300); --jp-warn-color3: var(--md-orange-100); --jp-error-color0: var(--md-red-700); --jp-error-color1: var(--md-red-500); --jp-error-color2: var(--md-red-300); --jp-error-color3: var(--md-red-100); --jp-success-color0: var(--md-green-700); --jp-success-color1: var(--md-green-500); --jp-success-color2: var(--md-green-300); --jp-success-color3: var(--md-green-100); --jp-info-color0: var(--md-cyan-700); --jp-info-color1: var(--md-cyan-500); --jp-info-color2: var(--md-cyan-300); --jp-info-color3: var(--md-cyan-100); /* Cell specific styles */ --jp-cell-padding: 5px; --jp-cell-collapser-width: 8px; --jp-cell-collapser-min-height: 20px; --jp-cell-collapser-not-active-hover-opacity: 0.6; --jp-cell-editor-background: var(--jp-layout-color1); --jp-cell-editor-border-color: var(--md-grey-700); --jp-cell-editor-box-shadow: inset 0 0 2px var(--md-blue-300); --jp-cell-editor-active-background: var(--jp-layout-color0); --jp-cell-editor-active-border-color: var(--jp-brand-color1); --jp-cell-prompt-width: 64px; --jp-cell-prompt-font-family: var(--jp-code-font-family-default); --jp-cell-prompt-letter-spacing: 0px; --jp-cell-prompt-opacity: 1; --jp-cell-prompt-not-active-opacity: 1; --jp-cell-prompt-not-active-font-color: var(--md-grey-300); /* A custom blend of MD grey and blue 600 * See https://meyerweb.com/eric/tools/color-blend/#546E7A:1E88E5:5:hex */ --jp-cell-inprompt-font-color: #307fc1; /* A custom blend of MD grey and orange 600 * https://meyerweb.com/eric/tools/color-blend/#546E7A:F4511E:5:hex */ --jp-cell-outprompt-font-color: #bf5b3d; /* Notebook specific styles */ --jp-notebook-padding: 10px; --jp-notebook-select-background: var(--jp-layout-color1); --jp-notebook-multiselected-color: rgba(33, 150, 243, 0.24); /* The scroll padding is calculated to fill enough space at the bottom of the notebook to show one single-line cell (with appropriate padding) at the top when the notebook is scrolled all the way to the bottom. We also subtract one pixel so that no scrollbar appears if we have just one single-line cell in the notebook. This padding is to enable a 'scroll past end' feature in a notebook. */ --jp-notebook-scroll-padding: calc( 100% - var(--jp-code-font-size) * var(--jp-code-line-height) - var(--jp-code-padding) - var(--jp-cell-padding) - 1px ); /* Rendermime styles */ --jp-rendermime-error-background: rgba(244, 67, 54, 0.28); --jp-rendermime-table-row-background: var(--md-grey-900); --jp-rendermime-table-row-hover-background: rgba(3, 169, 244, 0.2); /* Dialog specific styles */ --jp-dialog-background: rgba(0, 0, 0, 0.6); /* Console specific styles */ --jp-console-padding: 10px; /* Toolbar specific styles */ --jp-toolbar-border-color: var(--jp-border-color2); --jp-toolbar-micro-height: 8px; --jp-toolbar-background: var(--jp-layout-color1); --jp-toolbar-box-shadow: 0px 0px 2px 0px rgba(0, 0, 0, 0.8); --jp-toolbar-header-margin: 4px 4px 0px 4px; --jp-toolbar-active-background: var(--jp-layout-color0); /* Statusbar specific styles */ --jp-statusbar-height: 24px; /* Input field styles */ --jp-input-box-shadow: inset 0 0 2px var(--md-blue-300); --jp-input-active-background: var(--jp-layout-color0); --jp-input-hover-background: var(--jp-layout-color2); --jp-input-background: var(--md-grey-800); --jp-input-border-color: var(--jp-border-color1); --jp-input-active-border-color: var(--jp-brand-color1); --jp-input-active-box-shadow-color: rgba(19, 124, 189, 0.3); /* General editor styles */ --jp-editor-selected-background: var(--jp-layout-color2); --jp-editor-selected-focused-background: rgba(33, 150, 243, 0.24); --jp-editor-cursor-color: var(--jp-ui-font-color0); /* Code mirror specific styles */ --jp-mirror-editor-keyword-color: var(--md-green-500); --jp-mirror-editor-atom-color: var(--md-blue-300); --jp-mirror-editor-number-color: var(--md-green-400); --jp-mirror-editor-def-color: var(--md-blue-600); --jp-mirror-editor-variable-color: var(--md-grey-300); --jp-mirror-editor-variable-2-color: var(--md-blue-400); --jp-mirror-editor-variable-3-color: var(--md-green-600); --jp-mirror-editor-punctuation-color: var(--md-blue-400); --jp-mirror-editor-property-color: var(--md-blue-400); --jp-mirror-editor-operator-color: #aa22ff; --jp-mirror-editor-comment-color: #408080; --jp-mirror-editor-string-color: #ff7070; --jp-mirror-editor-string-2-color: var(--md-purple-300); --jp-mirror-editor-meta-color: #aa22ff; --jp-mirror-editor-qualifier-color: #555; --jp-mirror-editor-builtin-color: var(--md-green-600); --jp-mirror-editor-bracket-color: #997; --jp-mirror-editor-tag-color: var(--md-green-700); --jp-mirror-editor-attribute-color: var(--md-blue-700); --jp-mirror-editor-header-color: var(--md-blue-500); --jp-mirror-editor-quote-color: var(--md-green-300); --jp-mirror-editor-link-color: var(--md-blue-700); --jp-mirror-editor-error-color: #f00; --jp-mirror-editor-hr-color: #999; /* Vega extension styles */ --jp-vega-background: var(--md-grey-400); /* Sidebar-related styles */ --jp-sidebar-min-width: 250px; /* Search-related styles */ --jp-search-toggle-off-opacity: 0.6; --jp-search-toggle-hover-opacity: 0.8; --jp-search-toggle-on-opacity: 1; --jp-search-selected-match-background-color: rgb(255, 225, 0); --jp-search-selected-match-color: black; --jp-search-unselected-match-background-color: var( --jp-inverse-layout-color0 ); --jp-search-unselected-match-color: var(--jp-ui-inverse-font-color0); /* scrollbar related styles. Supports every browser except Edge. */ /* colors based on JetBrain's Darcula theme */ --jp-scrollbar-background-color: #3f4244; --jp-scrollbar-thumb-color: 88, 96, 97; /* need to specify thumb color as an RGB triplet */ --jp-scrollbar-endpad: 3px; /* the minimum gap between the thumb and the ends of a scrollbar */ /* hacks for setting the thumb shape. These do nothing in Firefox */ --jp-scrollbar-thumb-margin: 3.5px; /* the space in between the sides of the thumb and the track */ --jp-scrollbar-thumb-radius: 9px; /* set to a large-ish value for rounded endcaps on the thumb */ /* Icon colors that work well with light or dark backgrounds */ --jp-icon-contrast-color0: var(--md-purple-600); --jp-icon-contrast-color1: var(--md-green-600); --jp-icon-contrast-color2: var(--md-pink-600); --jp-icon-contrast-color3: var(--md-blue-600); } :root{--md-red-50: #ffebee;--md-red-100: #ffcdd2;--md-red-200: #ef9a9a;--md-red-300: #e57373;--md-red-400: #ef5350;--md-red-500: #f44336;--md-red-600: #e53935;--md-red-700: #d32f2f;--md-red-800: #c62828;--md-red-900: #b71c1c;--md-red-A100: #ff8a80;--md-red-A200: #ff5252;--md-red-A400: #ff1744;--md-red-A700: #d50000;--md-pink-50: #fce4ec;--md-pink-100: #f8bbd0;--md-pink-200: #f48fb1;--md-pink-300: #f06292;--md-pink-400: #ec407a;--md-pink-500: #e91e63;--md-pink-600: #d81b60;--md-pink-700: #c2185b;--md-pink-800: 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#7986cb;--md-indigo-400: #5c6bc0;--md-indigo-500: #3f51b5;--md-indigo-600: #3949ab;--md-indigo-700: #303f9f;--md-indigo-800: #283593;--md-indigo-900: #1a237e;--md-indigo-A100: #8c9eff;--md-indigo-A200: #536dfe;--md-indigo-A400: #3d5afe;--md-indigo-A700: #304ffe;--md-blue-50: #e3f2fd;--md-blue-100: #bbdefb;--md-blue-200: #90caf9;--md-blue-300: #64b5f6;--md-blue-400: #42a5f5;--md-blue-500: #2196f3;--md-blue-600: #1e88e5;--md-blue-700: #1976d2;--md-blue-800: #1565c0;--md-blue-900: #0d47a1;--md-blue-A100: #82b1ff;--md-blue-A200: #448aff;--md-blue-A400: #2979ff;--md-blue-A700: #2962ff;--md-light-blue-50: #e1f5fe;--md-light-blue-100: #b3e5fc;--md-light-blue-200: #81d4fa;--md-light-blue-300: #4fc3f7;--md-light-blue-400: #29b6f6;--md-light-blue-500: #03a9f4;--md-light-blue-600: #039be5;--md-light-blue-700: #0288d1;--md-light-blue-800: #0277bd;--md-light-blue-900: #01579b;--md-light-blue-A100: #80d8ff;--md-light-blue-A200: #40c4ff;--md-light-blue-A400: #00b0ff;--md-light-blue-A700: #0091ea;--md-cyan-50: #e0f7fa;--md-cyan-100: #b2ebf2;--md-cyan-200: #80deea;--md-cyan-300: #4dd0e1;--md-cyan-400: #26c6da;--md-cyan-500: #00bcd4;--md-cyan-600: #00acc1;--md-cyan-700: #0097a7;--md-cyan-800: #00838f;--md-cyan-900: #006064;--md-cyan-A100: #84ffff;--md-cyan-A200: #18ffff;--md-cyan-A400: #00e5ff;--md-cyan-A700: #00b8d4;--md-teal-50: #e0f2f1;--md-teal-100: #b2dfdb;--md-teal-200: #80cbc4;--md-teal-300: #4db6ac;--md-teal-400: #26a69a;--md-teal-500: #009688;--md-teal-600: #00897b;--md-teal-700: #00796b;--md-teal-800: #00695c;--md-teal-900: #004d40;--md-teal-A100: #a7ffeb;--md-teal-A200: #64ffda;--md-teal-A400: #1de9b6;--md-teal-A700: #00bfa5;--md-green-50: #e8f5e9;--md-green-100: #c8e6c9;--md-green-200: #a5d6a7;--md-green-300: #81c784;--md-green-400: #66bb6a;--md-green-500: #4caf50;--md-green-600: #43a047;--md-green-700: #388e3c;--md-green-800: #2e7d32;--md-green-900: #1b5e20;--md-green-A100: #b9f6ca;--md-green-A200: #69f0ae;--md-green-A400: #00e676;--md-green-A700: #00c853;--md-light-green-50: #f1f8e9;--md-light-green-100: #dcedc8;--md-light-green-200: #c5e1a5;--md-light-green-300: #aed581;--md-light-green-400: #9ccc65;--md-light-green-500: #8bc34a;--md-light-green-600: #7cb342;--md-light-green-700: #689f38;--md-light-green-800: #558b2f;--md-light-green-900: #33691e;--md-light-green-A100: #ccff90;--md-light-green-A200: #b2ff59;--md-light-green-A400: #76ff03;--md-light-green-A700: #64dd17;--md-lime-50: #f9fbe7;--md-lime-100: #f0f4c3;--md-lime-200: #e6ee9c;--md-lime-300: #dce775;--md-lime-400: #d4e157;--md-lime-500: #cddc39;--md-lime-600: #c0ca33;--md-lime-700: #afb42b;--md-lime-800: #9e9d24;--md-lime-900: #827717;--md-lime-A100: #f4ff81;--md-lime-A200: #eeff41;--md-lime-A400: #c6ff00;--md-lime-A700: #aeea00;--md-yellow-50: #fffde7;--md-yellow-100: #fff9c4;--md-yellow-200: #fff59d;--md-yellow-300: #fff176;--md-yellow-400: #ffee58;--md-yellow-500: #ffeb3b;--md-yellow-600: #fdd835;--md-yellow-700: #fbc02d;--md-yellow-800: #f9a825;--md-yellow-900: #f57f17;--md-yellow-A100: #ffff8d;--md-yellow-A200: #ffff00;--md-yellow-A400: #ffea00;--md-yellow-A700: #ffd600;--md-amber-50: #fff8e1;--md-amber-100: #ffecb3;--md-amber-200: #ffe082;--md-amber-300: #ffd54f;--md-amber-400: #ffca28;--md-amber-500: #ffc107;--md-amber-600: #ffb300;--md-amber-700: #ffa000;--md-amber-800: #ff8f00;--md-amber-900: #ff6f00;--md-amber-A100: #ffe57f;--md-amber-A200: #ffd740;--md-amber-A400: #ffc400;--md-amber-A700: #ffab00;--md-orange-50: #fff3e0;--md-orange-100: #ffe0b2;--md-orange-200: #ffcc80;--md-orange-300: #ffb74d;--md-orange-400: #ffa726;--md-orange-500: #ff9800;--md-orange-600: #fb8c00;--md-orange-700: #f57c00;--md-orange-800: #ef6c00;--md-orange-900: #e65100;--md-orange-A100: #ffd180;--md-orange-A200: #ffab40;--md-orange-A400: #ff9100;--md-orange-A700: #ff6d00;--md-deep-orange-50: #fbe9e7;--md-deep-orange-100: #ffccbc;--md-deep-orange-200: #ffab91;--md-deep-orange-300: #ff8a65;--md-deep-orange-400: #ff7043;--md-deep-orange-500: 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sourceMappingURL=mkdocs-jupyter.css.map*/ init_mathjax = function() { if (window.MathJax) { // MathJax loaded MathJax.Hub.Config({ TeX: { equationNumbers: { autoNumber: \"AMS\", useLabelIds: true } }, tex2jax: { inlineMath: [ ['$','$'], [\"\\\\(\",\"\\\\)\"] ], displayMath: [ ['$$','$$'], [\"\\\\[\",\"\\\\]\"] ], processEscapes: true, processEnvironments: true }, displayAlign: 'center', CommonHTML: { linebreaks: { automatic: true } } }); MathJax.Hub.Queue([\"Typeset\", MathJax.Hub]); } } init_mathjax(); titiler.PgSTAC Demo \u00b6 This Notebook aims to show the different features provided by titiler.pgstac application In order to run this demo you'll need to have a PgSTAC database and the titiler.pgstac application running. The easiest way to launch them is to use the repo's docker-compose.yml docker-compose up tiler Python requirements \u00b6 pip install httpx folium pypgstac psycopg psycopg-pool geojson-pydantic Populate the PgSTAC db with data \u00b6 $ pypgstac load collections tests/fixtures/noaa-emergency-response.json --dsn postgresql://username:password@localhost:5439/postgis --method insert $ pypgstac load items tests/fixtures/noaa-eri-nashville2020.json --dsn postgresql://username:password@localhost:5439/postgis --method insert In [1]: Copied! import json import httpx from folium import Map , TileLayer , GeoJson from geojson_pydantic import Feature , Polygon endpoint = \"http://127.0.0.1:8081\" print ( httpx . get ( f \" { endpoint } /healthz\" ) . json ()) import json import httpx from folium import Map, TileLayer, GeoJson from geojson_pydantic import Feature, Polygon endpoint = \"http://127.0.0.1:8081\" print(httpx.get(f\"{endpoint}/healthz\").json()) {'database_online': True} In [3]: Copied! # bounds of the noaa-eri-nashville2020.json items bounds = ( - 87.0251 , 36.0999 , - 85.4249 , 36.2251 ) poly = Polygon . from_bounds ( * bounds ) geojson = Feature ( type = \"Feature\" , geometry = poly , properties = None ) . dict ( exclude_none = True ) m = Map ( tiles = \"OpenStreetMap\" , location = (( bounds [ 1 ] + bounds [ 3 ]) / 2 ,( bounds [ 0 ] + bounds [ 2 ]) / 2 ), zoom_start = 8 ) geo_json = GeoJson ( data = geojson , style_function = lambda x : { 'opacity' : 1 , 'dashArray' : '1' , 'fillOpacity' : 0 , 'weight' : 1 }, ) geo_json . add_to ( m ) m # bounds of the noaa-eri-nashville2020.json items bounds = (-87.0251, 36.0999, -85.4249, 36.2251) poly = Polygon.from_bounds(*bounds) geojson = Feature(type=\"Feature\", geometry=poly, properties=None).dict(exclude_none=True) m = Map( tiles=\"OpenStreetMap\", location=((bounds[1] + bounds[3]) / 2,(bounds[0] + bounds[2]) / 2), zoom_start=8 ) geo_json = GeoJson( data=geojson, style_function=lambda x: { 'opacity': 1, 'dashArray': '1', 'fillOpacity': 0, 'weight': 1 }, ) geo_json.add_to(m) m Out[3]: Make this Notebook Trusted to load map: File -> Trust Notebook Register Search query \u00b6 In [4]: Copied! search_request = { # Filter collection \"collections\" : [ \"noaa-emergency-response\" ], # limit bounds of the known items (note: the bbox will also be used in the tilejson response) \"bbox\" : bounds , \"filter-lang\" : \"cql-json\" , } response = httpx . post ( f \" { endpoint } /mosaic/register\" , json = search_request , ) . json () print ( response ) searchid = response [ \"id\" ] search_request = { # Filter collection \"collections\": [\"noaa-emergency-response\"], # limit bounds of the known items (note: the bbox will also be used in the tilejson response) \"bbox\": bounds, \"filter-lang\": \"cql-json\", } response = httpx.post( f\"{endpoint}/mosaic/register\", json=search_request, ).json() print(response) searchid = response[\"id\"] {'searchid': '6d436413d0eed760acc2f6bd16ca77a5', 'links': [{'rel': 'metadata', 'type': 'application/json', 'href': 'http://127.0.0.1:8081/mosaic/6d436413d0eed760acc2f6bd16ca77a5/info'}, {'rel': 'tilejson', 'type': 'application/json', 'href': 'http://127.0.0.1:8081/mosaic/6d436413d0eed760acc2f6bd16ca77a5/tilejson.json'}]} Show list of Mosaics \u00b6 In [5]: Copied! response = httpx . get ( f \" { endpoint } /mosaic/list\" ) . json () print ( [ search [ \"search\" ][ \"hash\" ] for search in response [ \"searches\" ] ] ) response = httpx.get(f\"{endpoint}/mosaic/list\").json() print( [ search[\"search\"][\"hash\"] for search in response[\"searches\"] ] ) ['b2b4e952ae7a8dd69cd11d595b398945', '6d436413d0eed760acc2f6bd16ca77a5'] Get Search Metadata \u00b6 In [6]: Copied! info_response = httpx . get ( f \" { endpoint } /mosaic/ { searchid } /info\" ) . json () print ( info_response ) info_response = httpx.get(f\"{endpoint}/mosaic/{searchid}/info\").json() print(info_response) {'search': {'hash': '6d436413d0eed760acc2f6bd16ca77a5', 'search': {'bbox': [-87.0251, 36.0999, -85.4249, 36.2251], 'collections': ['noaa-emergency-response'], 'filter-lang': 'cql-json'}, '_where': \"collection = ANY ('{noaa-emergency-response}') AND st_intersects(geometry, '0103000020E610000001000000050000004BC8073D9BC155C0696FF085C90C42404BC8073D9BC155C0302AA913D01C42408104C58F315B55C0302AA913D01C42408104C58F315B55C0696FF085C90C42404BC8073D9BC155C0696FF085C90C4240')\", 'orderby': 'datetime DESC, id DESC', 'lastused': '2023-05-24T10:09:15.184690+00:00', 'usecount': 1, 'metadata': {'type': 'mosaic'}}, 'links': [{'rel': 'self', 'type': 'application/json', 'href': 'http://127.0.0.1:8081/mosaic/6d436413d0eed760acc2f6bd16ca77a5/info'}, {'rel': 'tilejson', 'type': 'application/json', 'href': 'http://127.0.0.1:8081/mosaic/6d436413d0eed760acc2f6bd16ca77a5/tilejson.json'}]} Get TileJSON \u00b6 Note: to return a valid tilejson document you'll need to pass either the assets or expression option. In [7]: Copied! tj_response = httpx . get ( f \" { endpoint } /mosaic/ { searchid } /tilejson.json?assets=cog\" ) . json () print ( tj_response ) tj_response = httpx.get(f\"{endpoint}/mosaic/{searchid}/tilejson.json?assets=cog\").json() print(tj_response) {'tilejson': '2.2.0', 'name': '6d436413d0eed760acc2f6bd16ca77a5', 'version': '1.0.0', 'scheme': 'xyz', 'tiles': ['http://127.0.0.1:8081/mosaic/6d436413d0eed760acc2f6bd16ca77a5/tiles/WebMercatorQuad/{z}/{x}/{y}@1x?assets=cog'], 'minzoom': 0, 'maxzoom': 24, 'bounds': [-87.0251, 36.0999, -85.4249, 36.2251], 'center': [-86.225, 36.162499999999994, 0]} Load tiles \u00b6 In [8]: Copied! m = Map ( location = (( bounds [ 1 ] + bounds [ 3 ]) / 2 ,( bounds [ 0 ] + bounds [ 2 ]) / 2 ), zoom_start = 14 ) geo_json = GeoJson ( data = geojson , style_function = lambda x : { 'opacity' : 1 , 'dashArray' : '1' , 'fillOpacity' : 0 , 'weight' : 1 }, ) geo_json . add_to ( m ) aod_layer = TileLayer ( tiles = tj_response [ \"tiles\" ][ 0 ], attr = \"Mosaic\" , min_zoom = 14 , max_zoom = 18 , max_native_zoom = 18 , ) aod_layer . add_to ( m ) m m = Map( location=((bounds[1] + bounds[3]) / 2,(bounds[0] + bounds[2]) / 2), zoom_start=14 ) geo_json = GeoJson( data=geojson, style_function=lambda x: { 'opacity': 1, 'dashArray': '1', 'fillOpacity': 0, 'weight': 1 }, ) geo_json.add_to(m) aod_layer = TileLayer( tiles=tj_response[\"tiles\"][0], attr=\"Mosaic\", min_zoom=14, max_zoom=18, max_native_zoom=18, ) aod_layer.add_to(m) m Out[8]: Make this Notebook Trusted to load map: File -> Trust Notebook Register a Mosaic with Metadata \u00b6 In [9]: Copied! search_request = { # Filter collection \"collections\" : [ \"noaa-emergency-response\" ], # limit bounds of the known items (note: the bbox will also be used in the tilejson response) \"bbox\" : bounds , \"filter-lang\" : \"cql-json\" , \"metadata\" : { \"bounds\" : [ - 87.0251 , 36.0999 , - 85.4249 , 36.2251 ], # This is redondant because it's in the bbox filter \"minzoom\" : 14 , \"maxzoom\" : 18 , \"assets\" : [ \"cog\" ], \"defaults\" : { \"true_color\" : { \"bidx\" : [ 1 , 2 , 3 ], }, }, }, } response = httpx . post ( f \" { endpoint } /mosaic/register\" , json = search_request , ) . json () print ( response ) searchid = response [ \"id\" ] search_request = { # Filter collection \"collections\": [\"noaa-emergency-response\"], # limit bounds of the known items (note: the bbox will also be used in the tilejson response) \"bbox\": bounds, \"filter-lang\": \"cql-json\", \"metadata\": { \"bounds\": [-87.0251, 36.0999, -85.4249, 36.2251], # This is redondant because it's in the bbox filter \"minzoom\": 14, \"maxzoom\": 18, \"assets\": [\"cog\"], \"defaults\": { \"true_color\": { \"bidx\": [1, 2, 3], }, }, }, } response = httpx.post( f\"{endpoint}/mosaic/register\", json=search_request, ).json() print(response) searchid = response[\"id\"] {'searchid': '4b0db3dbd1858d54a3a55f84de97d1ca', 'links': [{'rel': 'metadata', 'type': 'application/json', 'href': 'http://127.0.0.1:8081/mosaic/4b0db3dbd1858d54a3a55f84de97d1ca/info'}, {'rel': 'tilejson', 'type': 'application/json', 'href': 'http://127.0.0.1:8081/mosaic/4b0db3dbd1858d54a3a55f84de97d1ca/tilejson.json'}]} In [10]: Copied! tj_response = httpx . get ( f \" { endpoint } /mosaic/ { searchid } /tilejson.json?assets=cog\" ) . json () print ( tj_response ) tj_response = httpx.get(f\"{endpoint}/mosaic/{searchid}/tilejson.json?assets=cog\").json() print(tj_response) {'tilejson': '2.2.0', 'name': '4b0db3dbd1858d54a3a55f84de97d1ca', 'version': '1.0.0', 'scheme': 'xyz', 'tiles': ['http://127.0.0.1:8081/mosaic/4b0db3dbd1858d54a3a55f84de97d1ca/tiles/WebMercatorQuad/{z}/{x}/{y}@1x?assets=cog'], 'minzoom': 14, 'maxzoom': 18, 'bounds': [-87.0251, 36.0999, -85.4249, 36.2251], 'center': [-86.225, 36.162499999999994, 14]} In [11]: Copied! m = Map ( location = (( bounds [ 1 ] + bounds [ 3 ]) / 2 ,( bounds [ 0 ] + bounds [ 2 ]) / 2 ), zoom_start = 14 ) geo_json = GeoJson ( data = geojson , style_function = lambda x : { 'opacity' : 1 , 'dashArray' : '1' , 'fillOpacity' : 0 , 'weight' : 1 }, ) geo_json . add_to ( m ) aod_layer = TileLayer ( tiles = tj_response [ \"tiles\" ][ 0 ], attr = \"Mosaic\" , min_zoom = tj_response [ \"minzoom\" ], max_zoom = tj_response [ \"maxzoom\" ], max_native_zoom = tj_response [ \"maxzoom\" ], ) aod_layer . add_to ( m ) m m = Map( location=((bounds[1] + bounds[3]) / 2,(bounds[0] + bounds[2]) / 2), zoom_start=14 ) geo_json = GeoJson( data=geojson, style_function=lambda x: { 'opacity': 1, 'dashArray': '1', 'fillOpacity': 0, 'weight': 1 }, ) geo_json.add_to(m) aod_layer = TileLayer( tiles=tj_response[\"tiles\"][0], attr=\"Mosaic\", min_zoom=tj_response[\"minzoom\"], max_zoom=tj_response[\"maxzoom\"], max_native_zoom=tj_response[\"maxzoom\"], ) aod_layer.add_to(m) m Out[11]: Make this Notebook Trusted to load map: File -> Trust Notebook In [ ]: Copied!","title":"demo"},{"location":"notebooks/demo/#titilerpgstac-demo","text":"This Notebook aims to show the different features provided by titiler.pgstac application In order to run this demo you'll need to have a PgSTAC database and the titiler.pgstac application running. The easiest way to launch them is to use the repo's docker-compose.yml docker-compose up tiler","title":"titiler.PgSTAC Demo"},{"location":"notebooks/demo/#python-requirements","text":"pip install httpx folium pypgstac psycopg psycopg-pool geojson-pydantic","title":"Python requirements"},{"location":"notebooks/demo/#populate-the-pgstac-db-with-data","text":"$ pypgstac load collections tests/fixtures/noaa-emergency-response.json --dsn postgresql://username:password@localhost:5439/postgis --method insert $ pypgstac load items tests/fixtures/noaa-eri-nashville2020.json --dsn postgresql://username:password@localhost:5439/postgis --method insert In [1]: Copied! import json import httpx from folium import Map , TileLayer , GeoJson from geojson_pydantic import Feature , Polygon endpoint = \"http://127.0.0.1:8081\" print ( httpx . get ( f \" { endpoint } /healthz\" ) . json ()) import json import httpx from folium import Map, TileLayer, GeoJson from geojson_pydantic import Feature, Polygon endpoint = \"http://127.0.0.1:8081\" print(httpx.get(f\"{endpoint}/healthz\").json()) {'database_online': True} In [3]: Copied! # bounds of the noaa-eri-nashville2020.json items bounds = ( - 87.0251 , 36.0999 , - 85.4249 , 36.2251 ) poly = Polygon . from_bounds ( * bounds ) geojson = Feature ( type = \"Feature\" , geometry = poly , properties = None ) . dict ( exclude_none = True ) m = Map ( tiles = \"OpenStreetMap\" , location = (( bounds [ 1 ] + bounds [ 3 ]) / 2 ,( bounds [ 0 ] + bounds [ 2 ]) / 2 ), zoom_start = 8 ) geo_json = GeoJson ( data = geojson , style_function = lambda x : { 'opacity' : 1 , 'dashArray' : '1' , 'fillOpacity' : 0 , 'weight' : 1 }, ) geo_json . add_to ( m ) m # bounds of the noaa-eri-nashville2020.json items bounds = (-87.0251, 36.0999, -85.4249, 36.2251) poly = Polygon.from_bounds(*bounds) geojson = Feature(type=\"Feature\", geometry=poly, properties=None).dict(exclude_none=True) m = Map( tiles=\"OpenStreetMap\", location=((bounds[1] + bounds[3]) / 2,(bounds[0] + bounds[2]) / 2), zoom_start=8 ) geo_json = GeoJson( data=geojson, style_function=lambda x: { 'opacity': 1, 'dashArray': '1', 'fillOpacity': 0, 'weight': 1 }, ) geo_json.add_to(m) m Out[3]: Make this Notebook Trusted to load map: File -> Trust Notebook","title":"Populate the PgSTAC db with data"},{"location":"notebooks/demo/#register-search-query","text":"In [4]: Copied! search_request = { # Filter collection \"collections\" : [ \"noaa-emergency-response\" ], # limit bounds of the known items (note: the bbox will also be used in the tilejson response) \"bbox\" : bounds , \"filter-lang\" : \"cql-json\" , } response = httpx . post ( f \" { endpoint } /mosaic/register\" , json = search_request , ) . json () print ( response ) searchid = response [ \"id\" ] search_request = { # Filter collection \"collections\": [\"noaa-emergency-response\"], # limit bounds of the known items (note: the bbox will also be used in the tilejson response) \"bbox\": bounds, \"filter-lang\": \"cql-json\", } response = httpx.post( f\"{endpoint}/mosaic/register\", json=search_request, ).json() print(response) searchid = response[\"id\"] {'searchid': '6d436413d0eed760acc2f6bd16ca77a5', 'links': [{'rel': 'metadata', 'type': 'application/json', 'href': 'http://127.0.0.1:8081/mosaic/6d436413d0eed760acc2f6bd16ca77a5/info'}, {'rel': 'tilejson', 'type': 'application/json', 'href': 'http://127.0.0.1:8081/mosaic/6d436413d0eed760acc2f6bd16ca77a5/tilejson.json'}]}","title":"Register Search query"},{"location":"notebooks/demo/#show-list-of-mosaics","text":"In [5]: Copied! response = httpx . get ( f \" { endpoint } /mosaic/list\" ) . json () print ( [ search [ \"search\" ][ \"hash\" ] for search in response [ \"searches\" ] ] ) response = httpx.get(f\"{endpoint}/mosaic/list\").json() print( [ search[\"search\"][\"hash\"] for search in response[\"searches\"] ] ) ['b2b4e952ae7a8dd69cd11d595b398945', '6d436413d0eed760acc2f6bd16ca77a5']","title":"Show list of Mosaics"},{"location":"notebooks/demo/#get-search-metadata","text":"In [6]: Copied! info_response = httpx . get ( f \" { endpoint } /mosaic/ { searchid } /info\" ) . json () print ( info_response ) info_response = httpx.get(f\"{endpoint}/mosaic/{searchid}/info\").json() print(info_response) {'search': {'hash': '6d436413d0eed760acc2f6bd16ca77a5', 'search': {'bbox': [-87.0251, 36.0999, -85.4249, 36.2251], 'collections': ['noaa-emergency-response'], 'filter-lang': 'cql-json'}, '_where': \"collection = ANY ('{noaa-emergency-response}') AND st_intersects(geometry, '0103000020E610000001000000050000004BC8073D9BC155C0696FF085C90C42404BC8073D9BC155C0302AA913D01C42408104C58F315B55C0302AA913D01C42408104C58F315B55C0696FF085C90C42404BC8073D9BC155C0696FF085C90C4240')\", 'orderby': 'datetime DESC, id DESC', 'lastused': '2023-05-24T10:09:15.184690+00:00', 'usecount': 1, 'metadata': {'type': 'mosaic'}}, 'links': [{'rel': 'self', 'type': 'application/json', 'href': 'http://127.0.0.1:8081/mosaic/6d436413d0eed760acc2f6bd16ca77a5/info'}, {'rel': 'tilejson', 'type': 'application/json', 'href': 'http://127.0.0.1:8081/mosaic/6d436413d0eed760acc2f6bd16ca77a5/tilejson.json'}]}","title":"Get Search Metadata"},{"location":"notebooks/demo/#get-tilejson","text":"Note: to return a valid tilejson document you'll need to pass either the assets or expression option. In [7]: Copied! tj_response = httpx . get ( f \" { endpoint } /mosaic/ { searchid } /tilejson.json?assets=cog\" ) . json () print ( tj_response ) tj_response = httpx.get(f\"{endpoint}/mosaic/{searchid}/tilejson.json?assets=cog\").json() print(tj_response) {'tilejson': '2.2.0', 'name': '6d436413d0eed760acc2f6bd16ca77a5', 'version': '1.0.0', 'scheme': 'xyz', 'tiles': ['http://127.0.0.1:8081/mosaic/6d436413d0eed760acc2f6bd16ca77a5/tiles/WebMercatorQuad/{z}/{x}/{y}@1x?assets=cog'], 'minzoom': 0, 'maxzoom': 24, 'bounds': [-87.0251, 36.0999, -85.4249, 36.2251], 'center': [-86.225, 36.162499999999994, 0]}","title":"Get TileJSON"},{"location":"notebooks/demo/#load-tiles","text":"In [8]: Copied! m = Map ( location = (( bounds [ 1 ] + bounds [ 3 ]) / 2 ,( bounds [ 0 ] + bounds [ 2 ]) / 2 ), zoom_start = 14 ) geo_json = GeoJson ( data = geojson , style_function = lambda x : { 'opacity' : 1 , 'dashArray' : '1' , 'fillOpacity' : 0 , 'weight' : 1 }, ) geo_json . add_to ( m ) aod_layer = TileLayer ( tiles = tj_response [ \"tiles\" ][ 0 ], attr = \"Mosaic\" , min_zoom = 14 , max_zoom = 18 , max_native_zoom = 18 , ) aod_layer . add_to ( m ) m m = Map( location=((bounds[1] + bounds[3]) / 2,(bounds[0] + bounds[2]) / 2), zoom_start=14 ) geo_json = GeoJson( data=geojson, style_function=lambda x: { 'opacity': 1, 'dashArray': '1', 'fillOpacity': 0, 'weight': 1 }, ) geo_json.add_to(m) aod_layer = TileLayer( tiles=tj_response[\"tiles\"][0], attr=\"Mosaic\", min_zoom=14, max_zoom=18, max_native_zoom=18, ) aod_layer.add_to(m) m Out[8]: Make this Notebook Trusted to load map: File -> Trust Notebook","title":"Load tiles"},{"location":"notebooks/demo/#register-a-mosaic-with-metadata","text":"In [9]: Copied! search_request = { # Filter collection \"collections\" : [ \"noaa-emergency-response\" ], # limit bounds of the known items (note: the bbox will also be used in the tilejson response) \"bbox\" : bounds , \"filter-lang\" : \"cql-json\" , \"metadata\" : { \"bounds\" : [ - 87.0251 , 36.0999 , - 85.4249 , 36.2251 ], # This is redondant because it's in the bbox filter \"minzoom\" : 14 , \"maxzoom\" : 18 , \"assets\" : [ \"cog\" ], \"defaults\" : { \"true_color\" : { \"bidx\" : [ 1 , 2 , 3 ], }, }, }, } response = httpx . post ( f \" { endpoint } /mosaic/register\" , json = search_request , ) . json () print ( response ) searchid = response [ \"id\" ] search_request = { # Filter collection \"collections\": [\"noaa-emergency-response\"], # limit bounds of the known items (note: the bbox will also be used in the tilejson response) \"bbox\": bounds, \"filter-lang\": \"cql-json\", \"metadata\": { \"bounds\": [-87.0251, 36.0999, -85.4249, 36.2251], # This is redondant because it's in the bbox filter \"minzoom\": 14, \"maxzoom\": 18, \"assets\": [\"cog\"], \"defaults\": { \"true_color\": { \"bidx\": [1, 2, 3], }, }, }, } response = httpx.post( f\"{endpoint}/mosaic/register\", json=search_request, ).json() print(response) searchid = response[\"id\"] {'searchid': '4b0db3dbd1858d54a3a55f84de97d1ca', 'links': [{'rel': 'metadata', 'type': 'application/json', 'href': 'http://127.0.0.1:8081/mosaic/4b0db3dbd1858d54a3a55f84de97d1ca/info'}, {'rel': 'tilejson', 'type': 'application/json', 'href': 'http://127.0.0.1:8081/mosaic/4b0db3dbd1858d54a3a55f84de97d1ca/tilejson.json'}]} In [10]: Copied! tj_response = httpx . get ( f \" { endpoint } /mosaic/ { searchid } /tilejson.json?assets=cog\" ) . json () print ( tj_response ) tj_response = httpx.get(f\"{endpoint}/mosaic/{searchid}/tilejson.json?assets=cog\").json() print(tj_response) {'tilejson': '2.2.0', 'name': '4b0db3dbd1858d54a3a55f84de97d1ca', 'version': '1.0.0', 'scheme': 'xyz', 'tiles': ['http://127.0.0.1:8081/mosaic/4b0db3dbd1858d54a3a55f84de97d1ca/tiles/WebMercatorQuad/{z}/{x}/{y}@1x?assets=cog'], 'minzoom': 14, 'maxzoom': 18, 'bounds': [-87.0251, 36.0999, -85.4249, 36.2251], 'center': [-86.225, 36.162499999999994, 14]} In [11]: Copied! m = Map ( location = (( bounds [ 1 ] + bounds [ 3 ]) / 2 ,( bounds [ 0 ] + bounds [ 2 ]) / 2 ), zoom_start = 14 ) geo_json = GeoJson ( data = geojson , style_function = lambda x : { 'opacity' : 1 , 'dashArray' : '1' , 'fillOpacity' : 0 , 'weight' : 1 }, ) geo_json . add_to ( m ) aod_layer = TileLayer ( tiles = tj_response [ \"tiles\" ][ 0 ], attr = \"Mosaic\" , min_zoom = tj_response [ \"minzoom\" ], max_zoom = tj_response [ \"maxzoom\" ], max_native_zoom = tj_response [ \"maxzoom\" ], ) aod_layer . add_to ( m ) m m = Map( location=((bounds[1] + bounds[3]) / 2,(bounds[0] + bounds[2]) / 2), zoom_start=14 ) geo_json = GeoJson( data=geojson, style_function=lambda x: { 'opacity': 1, 'dashArray': '1', 'fillOpacity': 0, 'weight': 1 }, ) geo_json.add_to(m) aod_layer = TileLayer( tiles=tj_response[\"tiles\"][0], attr=\"Mosaic\", min_zoom=tj_response[\"minzoom\"], max_zoom=tj_response[\"maxzoom\"], max_native_zoom=tj_response[\"maxzoom\"], ) aod_layer.add_to(m) m Out[11]: Make this Notebook Trusted to load map: File -> Trust Notebook In [ ]: Copied!","title":"Register a Mosaic with Metadata"}]} \ No newline at end of file diff --git a/1.0.0/sitemap.xml b/1.0.0/sitemap.xml new file mode 100644 index 00000000..4c6223e5 --- /dev/null +++ b/1.0.0/sitemap.xml @@ -0,0 +1,128 @@ + + + + https://stac-utils.github.io/titiler-pgstac/1.0.0/ + 2023-12-12 + daily + + + https://stac-utils.github.io/titiler-pgstac/1.0.0/contributing/ + 2023-12-12 + daily + + + https://stac-utils.github.io/titiler-pgstac/1.0.0/intro/ + 2023-12-12 + daily + + + https://stac-utils.github.io/titiler-pgstac/1.0.0/release-notes/ + 2023-12-12 + daily + + + https://stac-utils.github.io/titiler-pgstac/1.0.0/tiler_factories/ + 2023-12-12 + daily + + + https://stac-utils.github.io/titiler-pgstac/1.0.0/advanced/custom_search/ + 2023-12-12 + daily + + + https://stac-utils.github.io/titiler-pgstac/1.0.0/advanced/custom_tilejson/ + 2023-12-12 + daily + + + https://stac-utils.github.io/titiler-pgstac/1.0.0/advanced/metadata/ + 2023-12-12 + daily + + + https://stac-utils.github.io/titiler-pgstac/1.0.0/advanced/searches_list/ + 2023-12-12 + daily + + + https://stac-utils.github.io/titiler-pgstac/1.0.0/api/titiler/pgstac/db/ + 2023-12-12 + daily + + + https://stac-utils.github.io/titiler-pgstac/1.0.0/api/titiler/pgstac/dependencies/ + 2023-12-12 + daily + + + https://stac-utils.github.io/titiler-pgstac/1.0.0/api/titiler/pgstac/extensions/ + 2023-12-12 + daily + + + https://stac-utils.github.io/titiler-pgstac/1.0.0/api/titiler/pgstac/factory/ + 2023-12-12 + daily + + + https://stac-utils.github.io/titiler-pgstac/1.0.0/api/titiler/pgstac/model/ + 2023-12-12 + daily + + + https://stac-utils.github.io/titiler-pgstac/1.0.0/api/titiler/pgstac/mosaic/ + 2023-12-12 + daily + + + https://stac-utils.github.io/titiler-pgstac/1.0.0/api/titiler/pgstac/reader/ + 2023-12-12 + daily + + + https://stac-utils.github.io/titiler-pgstac/1.0.0/api/titiler/pgstac/settings/ + 2023-12-12 + daily + + + https://stac-utils.github.io/titiler-pgstac/1.0.0/api/titiler/pgstac/utils/ + 2023-12-12 + daily + + + https://stac-utils.github.io/titiler-pgstac/1.0.0/endpoints/ + 2023-12-12 + daily + + + https://stac-utils.github.io/titiler-pgstac/1.0.0/endpoints/collections_endpoints/ + 2023-12-12 + daily + + + https://stac-utils.github.io/titiler-pgstac/1.0.0/endpoints/items_endpoints/ + 2023-12-12 + daily + + + https://stac-utils.github.io/titiler-pgstac/1.0.0/endpoints/searches_endpoints/ + 2023-12-12 + daily + + + https://stac-utils.github.io/titiler-pgstac/1.0.0/endpoints/tms_endpoints/ + 2023-12-12 + daily + + + https://stac-utils.github.io/titiler-pgstac/1.0.0/migrations/v1_migration/ + 2023-12-12 + daily + + + https://stac-utils.github.io/titiler-pgstac/1.0.0/notebooks/demo/ + 2023-12-12 + daily + + \ No newline at end of file diff --git a/1.0.0/sitemap.xml.gz b/1.0.0/sitemap.xml.gz new file mode 100644 index 0000000000000000000000000000000000000000..3901c0a4661e388cc66dc873b996961f0f43720d GIT binary patch literal 424 zcmV;Z0ayMXiwFquX?SG<|8r?{Wo=<_E_iKh0M(eyZi6rk$M1WJiaVt3F55)uZBMYB zQJT1rEhH>9{doI1w5uxZI!!V{f;f)#{|SO^>g{RpivuKdF>H!ewJa78Otda^o8tZL zwR|eJ%|ksUk3b7{4!9|LqVYwkW4!4q)pYk|=`F{Ygo-xNdoYxfLMt34ci7?~Znd9q4wCvP2G=D$?+0~QwYQNZgxvS + + + + + + + + + + + + + + + + + + Tiler Factories - TiTiler.PgSTAC + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + +
    + + + + + + +
    + + +
    + +
    + + + + + + +
    +
    + + + +
    +
    +
    + + + + +
    +
    +
    + + + +
    +
    +
    + + + +
    +
    +
    + + + +
    +
    + + + + + + + + + +

    Tiler Factories

    + +

    Mosaics: titiler.pgstac.factory.MosaicTilerFactory

    +

    TiTiler.PgSTAC provides a MosaicTilerFactory factory which is an helper functions to create FastAPI router (fastapi.APIRouter) with a minimal set of endpoints.

    +
    # Minimal PgSTAC Mosaic Application
+from contextlib import asynccontextmanager
+
+from fastapi import FastAPI
+from titiler.pgstac.db import close_db_connection, connect_to_db
+from titiler.pgstac.factory import MosaicTilerFactory
+
+@asynccontextmanager
+async def lifespan(app: FastAPI):
+    """FastAPI Lifespan."""
+    # Create Connection Pool
+    await connect_to_db(app)
+    yield
+    # Close the Connection Pool
+    await close_db_connection(app)
+
+
+app = FastAPI(lifespan=lifespan)
+
+mosaic = MosaicTilerFactory(
+    path_dependency=lambda: "aaaaaaaaaaaaaaaaaaaaa",
+)
+app.include_router(mosaic.router)
+
    +
    +

    Important

    +

    The MosaicTilerFactory requires a path_dependency, which should be a Callable that return a search_id (PgSTAC Search Hash).

    +

    For the /searches/{search_id} endpoints the path_dependency is set to titiler.pgstac.dependencies.SearchIdParams and to titiler.pgstac.dependencies.CollectionIdParams for the /collections/{collection_id} endpoints.

    +
    +

    `

    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    MethodURLOutputDescription
    GET/{lon},{lat}/assetsJSONReturn a list of assets which overlap a given point
    GET/tiles[/{TileMatrixSetId}]/{z}/{x}/{Y}/assetsJSONReturn a list of assets which overlap a given tile
    GET/tiles[/{TileMatrixSetId}]/{z}/{x}/{y}[@{scale}x][.{format}]image/binCreate a web map tile image for a search query and a tile index
    GET[/{TileMatrixSetId}]/tilejson.jsonJSON (TileJSON)Return a Mapbox TileJSON document
    GET[/{TileMatrixSetId}]/WMTSCapabilities.xmlXMLReturn OGC WMTS Get Capabilities
    GET[/{TileMatrixSetId}]/mapHTMLSimple map viewer OPTIONAL
    POST/statisticsGeoJSON (Statistics)Return statistics for geojson features OPTIONAL
    GET/bbox/{minx},{miny},{maxx},{maxy}[/{width}x{height}].{format}image/binCreate an image from part of a dataset OPTIONAL
    POST/feature[/{width}x{height}][.{format}]image/binCreate an image from a GeoJSON feature OPTIONAL
    +

    Extensions

    +

    searchInfoExtension

    + + + + + + + + + + + + + + + + + +
    MethodURLOutputDescription
    GET/infoJSON (Infos)Return list of Search entries with Mosaic type OPTIONAL
    +
    app = FastAPI()
+mosaic = MosaicTilerFactory(
+    path_dependency=lambda: "aaaaaaaaaaaaaaaaaaaaa",
+    extensions=[
+        searchInfoExtension(),
+    ],
+)
+app.include_router(mosaic.router)
+
    +

    register and list

    + + + + + + + + + + + + + + + + + + + + + + + +
    MethodURLOutputDescription
    POST/registerJSON (Register)Register Search query OPTIONAL
    GET/listJSON (Info)Return Search query infos OPTIONAL
    +
    app = FastAPI()
+mosaic = MosaicTilerFactory(
+    path_dependency=lambda: "aaaaaaaaaaaaaaaaaaaaa",
+)
+app.include_router(mosaic.router)
+
+add_search_register_route(app)
+add_search_list_route(app)
+
    +

    Items: titiler.core.factory.MultiBaseTilerFactory

    +

    For the single STAC item endpoints we use TiTiler's MultiBaseTilerFactory with a custom path_dependency to use item_id and collection_id path parameter (instead of the default url query param).

    +

    This custom path_dependency will connect to PgSTAC directly to fetch the STAC Item and pass it to a custom Reader.

    +
    # Minimal PgSTAC Item Application
+from contextlib import asynccontextmanager
+
+from fastapi import FastAPI
+
+from titiler.core.factory import MultiBaseTilerFactory
+
+from titiler.pgstac.db import close_db_connection, connect_to_db
+from titiler.pgstac.dependencies import ItemPathParams
+from titiler.pgstac.reader import PgSTACReader
+
+
+@asynccontextmanager
+async def lifespan(app: FastAPI):
+    """FastAPI Lifespan."""
+    # Create Connection Pool
+    await connect_to_db(app)
+    yield
+    # Close the Connection Pool
+    await close_db_connection(app)
+
+
+app = FastAPI(lifespan=lifespan)
+
+item = MultiBaseTilerFactory(
+    reader=PgSTACReader,
+    path_dependency=ItemPathParams,
+    router_prefix="/collections/{collection_id}/items/{item_id}",
+)
+app.include_router(item.router, prefix="/collections/{collection_id}/items/{item_id}")
+
    + + + + + + +
    +
    + + +
    + +
    + + + +
    +
    +
    +
    + + + + + + + + + + \ No newline at end of file diff --git a/1.0.0/tiler_factories/tiler_factories.md b/1.0.0/tiler_factories/tiler_factories.md new file mode 100644 index 00000000..a81475a0 --- /dev/null +++ b/1.0.0/tiler_factories/tiler_factories.md @@ -0,0 +1,133 @@ + + +## Mosaics: `titiler.pgstac.factory.MosaicTilerFactory` + +`TiTiler.PgSTAC` provides a `MosaicTilerFactory` factory which is an helper functions to create FastAPI router (`fastapi.APIRouter`) with a minimal set of endpoints. + +```python +# Minimal PgSTAC Mosaic Application +from contextlib import asynccontextmanager + +from fastapi import FastAPI +from titiler.pgstac.db import close_db_connection, connect_to_db +from titiler.pgstac.factory import MosaicTilerFactory + +@asynccontextmanager +async def lifespan(app: FastAPI): + """FastAPI Lifespan.""" + # Create Connection Pool + await connect_to_db(app) + yield + # Close the Connection Pool + await close_db_connection(app) + + +app = FastAPI(lifespan=lifespan) + +mosaic = MosaicTilerFactory( + path_dependency=lambda: "aaaaaaaaaaaaaaaaaaaaa", +) +app.include_router(mosaic.router) +``` + +!!! Important + + The `MosaicTilerFactory` requires a `path_dependency`, which should be a `Callable` that return a *search_id* (PgSTAC Search Hash). + + For the `/searches/{search_id}` endpoints the `path_dependency` is set to `titiler.pgstac.dependencies.SearchIdParams` and to `titiler.pgstac.dependencies.CollectionIdParams` for the `/collections/{collection_id}` endpoints. +` + + +| Method | URL | Output | Description +| ------ | ---------------------------------------------------------------------------|---------------------------------------- |-------------- +| `GET` | `/{lon},{lat}/assets` | JSON | Return a list of assets which overlap a given point +| `GET` | `/tiles[/{TileMatrixSetId}]/{z}/{x}/{Y}/assets` | JSON | Return a list of assets which overlap a given tile +| `GET` | `/tiles[/{TileMatrixSetId}]/{z}/{x}/{y}[@{scale}x][.{format}]` | image/bin | Create a web map tile image for a search query and a tile index +| `GET` | `[/{TileMatrixSetId}]/tilejson.json` | JSON ([TileJSON][tilejson_model]) | Return a Mapbox TileJSON document +| `GET` | `[/{TileMatrixSetId}]/WMTSCapabilities.xml` | XML | Return OGC WMTS Get Capabilities +| `GET` | `[/{TileMatrixSetId}]/map` | HTML | Simple map viewer **OPTIONAL** +| `POST` | `/statistics` | GeoJSON ([Statistics][statitics_model]) | Return statistics for geojson features **OPTIONAL** +| `GET` | `/bbox/{minx},{miny},{maxx},{maxy}[/{width}x{height}].{format}`| image/bin | Create an image from part of a dataset **OPTIONAL** +| `POST` | `/feature[/{width}x{height}][.{format}]` | image/bin | Create an image from a GeoJSON feature **OPTIONAL** + +### Extensions + +#### `searchInfoExtension` + +| Method | URL | Output | Description +| ------ | ---------------------------------------------------------------------------|---------------------------------------- |-------------- +| `GET` | `/info` | JSON ([Infos][infos_model]) | Return list of **Search** entries with `Mosaic` type **OPTIONAL** + +```python +app = FastAPI() +mosaic = MosaicTilerFactory( + path_dependency=lambda: "aaaaaaaaaaaaaaaaaaaaa", + extensions=[ + searchInfoExtension(), + ], +) +app.include_router(mosaic.router) +``` + +#### `register and list` + +| Method | URL | Output | Description +| ------ | ---------------------------------------------------------------------------|---------------------------------------- |-------------- +| `POST` | `/register` | JSON ([Register][register_model]) | Register **Search** query **OPTIONAL** +| `GET` | `/list` | JSON ([Info][info_model]) | Return **Search** query infos **OPTIONAL** + +```python +app = FastAPI() +mosaic = MosaicTilerFactory( + path_dependency=lambda: "aaaaaaaaaaaaaaaaaaaaa", +) +app.include_router(mosaic.router) + +add_search_register_route(app) +add_search_list_route(app) +``` + +## Items: `titiler.core.factory.MultiBaseTilerFactory` + +For the `single STAC item` endpoints we use TiTiler's [MultiBaseTilerFactory](https://developmentseed.org/titiler/advanced/tiler_factories/#titilercorefactorymultibasetilerfactory) with a custom [`path_dependency`]() to use `item_id` and `collection_id` path parameter (instead of the default `url` query param). + +This custom `path_dependency` will connect to PgSTAC directly to fetch the STAC Item and pass it to a custom [Reader](https://github.com/stac-utils/titiler-pgstac/blob/d777eca04770622982121daa2df42d429e8c244d/titiler/pgstac/reader.py#L17-L25). + +```python +# Minimal PgSTAC Item Application +from contextlib import asynccontextmanager + +from fastapi import FastAPI + +from titiler.core.factory import MultiBaseTilerFactory + +from titiler.pgstac.db import close_db_connection, connect_to_db +from titiler.pgstac.dependencies import ItemPathParams +from titiler.pgstac.reader import PgSTACReader + + +@asynccontextmanager +async def lifespan(app: FastAPI): + """FastAPI Lifespan.""" + # Create Connection Pool + await connect_to_db(app) + yield + # Close the Connection Pool + await close_db_connection(app) + + +app = FastAPI(lifespan=lifespan) + +item = MultiBaseTilerFactory( + reader=PgSTACReader, + path_dependency=ItemPathParams, + router_prefix="/collections/{collection_id}/items/{item_id}", +) +app.include_router(item.router, prefix="/collections/{collection_id}/items/{item_id}") +``` + +[tilejson_model]: https://github.com/developmentseed/titiler/blob/2335048a407f17127099cbbc6c14e1328852d619/src/titiler/core/titiler/core/models/mapbox.py#L16-L38 +[info_model]: https://github.com/stac-utils/titiler-pgstac/blob/047315da8851a974660032ca45f219db2c3a8d54/titiler/pgstac/model.py#L236-L240 +[infos_model]: https://github.com/stac-utils/titiler-pgstac/blob/4f569fee1946f853be9b9149cb4dd2fd5c62b110/titiler/pgstac/model.py#L260-L265 +[register_model]: https://github.com/stac-utils/titiler-pgstac/blob/047315da8851a974660032ca45f219db2c3a8d54/titiler/pgstac/model.py#L229-L233 +[statitics_model]: https://github.com/developmentseed/titiler/blob/17cdff2f0ddf08dbd9a47c2140b13c4bbcc30b6d/src/titiler/core/titiler/core/models/responses.py#L49-L52 diff --git a/latest b/latest index 4e2d0a7e..afaf360d 120000 --- a/latest +++ b/latest @@ -1 +1 @@ -1.0.0a4 \ No newline at end of file +1.0.0 \ No newline at end of file diff --git a/versions.json b/versions.json index 28bcfbc0..c4529168 100644 --- a/versions.json +++ b/versions.json @@ -1,11 +1,16 @@ [ { - "version": "1.0.0a4", - "title": "1.0.0a4", + "version": "1.0.0", + "title": "1.0.0", "aliases": [ "latest" ] }, + { + "version": "1.0.0a4", + "title": "1.0.0a4", + "aliases": [] + }, { "version": "1.0.0a3", "title": "1.0.0a3",