add render extension support

CHANGES.md

@@ -22,6 +22,9 @@
 
 * update `titiler.pgstac.model.Link` to match the OGC specification
 * use `{tileMatrixSetId}` in templated URL links
+* add support for `render` and `item-assets` STAC Collection extensions
+* add `/info` endpoint to the `Collections` endpoints
+* add `/collections` and `/collections/{collection_id}` endpoints when `TITILER_PGSTAC_API_DEBUG=TRUE`
 
 ## 1.2.3 (2024-03-25)
 

docs/src/advanced/custom_tilejson.md

@@ -135,16 +135,16 @@ class MosaicTilerFactory(TitilerPgSTACFactory.MosaicTilerFactory):
             ]
 
             if layer:
-                config = search_info.defaults.get(layer)
+                config = search_info.metadata.defaults_params.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")]`
+                # as `"true_color": {"assets": ["B4", "B3", "B2"]}`
                 qs = QueryParams(config)
 
             if qs:
-                tiles_url += f"?{urlencode(qs)}"
+                tiles_url += f"?{urlencode(qs, doseq=True)}"
 
             minzoom = _first_value([minzoom, search_info.metadata.minzoom], tms.minzoom)
             maxzoom = _first_value([maxzoom, search_info.metadata.maxzoom], tms.maxzoom)

docs/src/advanced/metadata.md

@@ -35,7 +35,7 @@
         },
         "ndvi": {
             "expression": "(B4-B3)/(B4+B3)",
-            "rescale": "-1,1",
+            "rescale": [[-1, 1]],
             "colormap_name": "viridis"
         }
     }

tests/conftest.py

@@ -17,6 +17,7 @@
 
 DATA_DIR = os.path.join(os.path.dirname(__file__), "fixtures")
 collection = os.path.join(DATA_DIR, "noaa-emergency-response.json")
+collection_maxar = os.path.join(DATA_DIR, "maxar_BayOfBengal.json")
 items = os.path.join(DATA_DIR, "noaa-eri-nashville2020.json")
 
 test_db = pytest_pgsql.TransactedPostgreSQLTestDB.create_fixture(
@@ -67,14 +68,15 @@ def database_url(test_db):
         print("Load items and collection into PgSTAC")
         loader = Loader(db=db)
         loader.load_collections(collection)
+        loader.load_collections(collection_maxar)
         loader.load_items(items)
 
     # Make sure we have 1 collection and 163 items in pgstac
     with psycopg.connect(str(test_db.connection.engine.url)) as conn:
         with conn.cursor() as cur:
             cur.execute("SELECT COUNT(*) FROM pgstac.collections")
             val = cur.fetchone()[0]
-            assert val == 1
+            assert val == 2
 
             cur.execute("SELECT COUNT(*) FROM pgstac.items")
             val = cur.fetchone()[0]

tests/fixtures/maxar_BayOfBengal.json

@@ -0,0 +1,133 @@
+{
+  "id": "MAXAR_BayofBengal_Cyclone_Mocha_May_23",
+  "type": "Collection",
+  "links": [],
+  "title": "Bay of Bengal Cyclone Mocha 2023",
+  "extent": {
+    "spatial": {
+      "bbox": [
+        [
+          91.831615,
+          19.982078842323997,
+          92.97426268500965,
+          21.666101
+        ],
+        [
+          92.567815,
+          20.18811887678192,
+          92.74417544237298,
+          20.62968532404085
+        ],
+        [
+          92.72278776887262,
+          20.104801,
+          92.893524,
+          20.630214
+        ],
+        [
+          92.75855246040959,
+          19.982078842323997,
+          92.89682495377032,
+          20.514473160464657
+        ],
+        [
+          92.84253515935835,
+          19.984656587012033,
+          92.97426268500965,
+          20.514418665444474
+        ],
+        [
+          91.831615,
+          21.518411,
+          91.957078,
+          21.666101
+        ]
+      ]
+    },
+    "temporal": {
+      "interval": [
+        [
+          "2023-01-03T04:30:17Z",
+          "2023-05-22T04:35:25Z"
+        ]
+      ]
+    }
+  },
+  "license": "CC-BY-NC-4.0",
+  "renders": {
+    "visual": {
+      "title": "Visual Image",
+      "assets": [
+        "visual"
+      ],
+      "asset_bidx": ["visual|1,2,3"],
+      "minmax_zoom": [
+        8,
+        22
+      ],
+      "tilematrixsets": {
+        "WebMercatorQuad": [
+            8,
+            22
+        ]
+      }
+    },
+    "color": {
+      "title": "Colored Image",
+      "assets": [
+        "visual"
+      ],
+      "asset_bidx": ["visual|1"],
+      "colormap": {
+        "1": [0, 0, 0, 255],
+        "1000": [255, 255, 255, 255]
+      }
+    },
+    "visualr": {
+      "title": "Rescaled Image",
+      "assets": [
+        "visual"
+      ],
+      "asset_bidx": ["visual|1"],
+      "rescale": [
+        [0, 100]
+      ]
+    }
+  },
+  "description": "Maxar OpenData | Cyclone Mocha, a category five cyclone with 130 mph winds and torrential rain, hit parts of Myanmar and Bangladesh, forcing mass evacuations ahead of the storm. The cyclone, one of the most powerful to hit the region in the last decade, made landfall on Sunday, May 14, 2023, near Sittwe in Myanmar's Rakhine state. Rain and a storm surge caused widespread flooding in low-lying areas. The United National Office Coordination of Humanitarian Affairs stated that there had been extensive damage among already vulnerable communities and that communications with the affected areas have been difficult.",
+  "item_assets": {
+    "visual": {
+      "type": "image/tiff; application=geotiff; profile=cloud-optimized",
+      "roles": [
+        "visual"
+      ],
+      "title": "Visual Image"
+    },
+    "data-mask": {
+      "type": "application/geopackage+sqlite3",
+      "roles": [
+        "data-mask"
+      ],
+      "title": "Data Mask"
+    },
+    "ms_analytic": {
+      "type": "image/tiff; application=geotiff; profile=cloud-optimized",
+      "roles": [
+        "data"
+      ],
+      "title": "Multispectral Image"
+    },
+    "pan_analytic": {
+      "type": "image/tiff; application=geotiff; profile=cloud-optimized",
+      "roles": [
+        "data"
+      ],
+      "title": "Panchromatic Image"
+    }
+  },
+  "stac_version": "1.0.0",
+  "stac_extensions": [
+    "https://stac-extensions.github.io/item-assets/v1.0.0/schema.json",
+    "https://stac-extensions.github.io/render/v1.0.0/schema.json"
+  ]
+}

tests/fixtures/noaa-emergency-response.json

@@ -1 +1,30 @@
-{"id":"noaa-emergency-response", "title": "NOAA Emergency Response Imagery", "description":"NOAA Emergency Response Imagery hosted on AWS Public Dataset.","stac_version":"1.0.0","license":"public-domain","links":[],"extent":{"spatial":{"bbox":[[-180,-90,180,90]]},"temporal":{"interval":[["2005-01-01T00:00:00Z",null]]}}}
+{
+  "id": "noaa-emergency-response",
+  "type": "Collection",
+  "title": "NOAA Emergency Response Imagery",
+  "description": "NOAA Emergency Response Imagery hosted on AWS Public Dataset.",
+  "stac_version": "1.0.0",
+  "license": "public-domain",
+  "links": [],
+  "extent": {
+    "spatial": {
+      "bbox": [
+        [
+          -180,
+          -90,
+          180,
+          90
+        ]
+      ]
+    },
+    "temporal": {
+      "interval": [
+        [
+          "2005-01-01T00:00:00Z",
+          null
+        ]
+      ]
+    }
+  },
+  "stac_extensions": []
+}

tests/test_collections.py

@@ -518,3 +518,32 @@ def test_query_point_collections(app):
     )
 
     assert response.status_code == 204  # (no content)
+
+
+def test_collections_render(app, tmp_path):
+    """Create wmts document."""
+    response = app.get(
+        "/collections/MAXAR_BayofBengal_Cyclone_Mocha_May_23/WebMercatorQuad/WMTSCapabilities.xml"
+    )
+    assert response.status_code == 200
+    assert response.headers["content-type"] == "application/xml"
+
+    wmts = tmp_path / "WMTSCapabilities.xml"
+    with open(wmts, "wb") as f:
+        f.write(response.content)
+
+    # Validate it's a good WMTS
+    with rasterio.open(wmts) as src:
+        assert not src.crs
+        assert src.profile["driver"] == "WMTS"
+        assert len(src.subdatasets) == 3
+        assert ["color", "visual", "visualr"] == [
+            s.split(",layer=")[1] for s in src.subdatasets
+        ]
+        with rasterio.open(src.subdatasets[0]) as sub:
+            assert sub.crs == CRS.from_epsg(3857)
+            assert sub.profile["driver"] == "WMTS"
+
+    response = app.get("/collections/MAXAR_BayofBengal_Cyclone_Mocha_May_23/info")
+    assert response.status_code == 200
+    assert len(response.json()["links"]) == 10  # self, tilejson (4), map (4), wmts (1)

tests/test_searches.py

@@ -552,16 +552,28 @@ def test_query_with_metadata(app):
             "maxzoom": 2,
             "defaults": {
                 "one_band": {
-                    "assets": "cog",
-                    "asset_bidx": "cog|1",
+                    "assets": ["cog"],
+                    "asset_bidx": ["cog|1"],
                 },
                 "three_bands": {
-                    "assets": "cog",
-                    "asset_bidx": "cog|1,2,3",
+                    "assets": ["cog"],
+                    "asset_bidx": ["cog|1,2,3"],
+                },
+                "rescale": {
+                    "assets": ["cog"],
+                    "asset_bidx": ["cog|1"],
+                    "rescale": [
+                        [-1, 1],
+                    ],
+                },
+                "colormap": {
+                    "assets": ["cog"],
+                    "asset_bidx": ["cog|1"],
+                    "colormap": {"1": [0, 0, 0, 255], "1000": [255, 255, 255, 255]},
                 },
                 # missing `assets`
                 "bad_layer": {
-                    "asset_bidx": "cog|1,2,3",
+                    "asset_bidx": ["cog|1,2,3"],
                 },
             },
         },
@@ -572,9 +584,7 @@ def test_query_with_metadata(app):
     assert response.status_code == 200
     resp = response.json()
     assert resp["id"]
-    assert (
-        len(resp["links"]) == 6
-    )  # info, tilejson, map, wmts tilejson for one_band, tilejson for three_bands
+    assert len(resp["links"]) == 8  # info, tilejson, map, wmts, tilejson layers
     link = resp["links"][-2]
 
     mosaic_id_metadata = resp["id"]
@@ -616,9 +626,7 @@ def test_query_with_metadata(app):
 
     with rasterio.open(io.BytesIO(response.content)) as src:
         assert src.profile["driver"] == "WMTS"
-        assert len(src.subdatasets) == 2
-        assert src.subdatasets[0].endswith(",layer=one_band")
-        assert src.subdatasets[1].endswith(",layer=three_bands")
+        assert len(src.subdatasets) == 4
 
     # 4. assets and metadata layers
     with pytest.warns(UserWarning):
@@ -631,26 +639,22 @@ def test_query_with_metadata(app):
 
     with rasterio.open(io.BytesIO(response.content)) as src:
         assert src.profile["driver"] == "WMTS"
-        assert len(src.subdatasets) == 3
-        assert src.subdatasets[0].endswith(",layer=one_band")
-        assert src.subdatasets[1].endswith(",layer=three_bands")
-        assert src.subdatasets[2].endswith(",layer=default")
+        assert len(src.subdatasets) == 5
 
     with pytest.warns(UserWarning):
         response = app.get(f"/searches/{mosaic_id_metadata}/info")
     assert response.status_code == 200
     resp = response.json()
     assert resp["search"]["hash"] == mosaic_id_metadata
-    assert len(resp["links"]) == 10  # self, tilejson (3), map (3), wmts (3)
+    assert len(resp["links"]) == 12  # self, tilejson (5), map (5), wmts (1)
 
     assert resp["links"][1]["title"] == "TileJSON link (Template URL)."
     assert (
-        resp["links"][2]["title"]
-        == "TileJSON link for `one_band` layer (Template URL)."
+        resp["links"][2]["title"] == "TileJSON link for `rescale` layer (Template URL)."
     )
     assert (
         resp["links"][3]["title"]
-        == "TileJSON link for `three_bands` layer (Template URL)."
+        == "TileJSON link for `colormap` layer (Template URL)."
     )
 
     assert "asset_bidx=cog%7C1" in resp["links"][2]["href"]