Publish SQLite database using Datasette

Makefile

@@ -64,7 +64,7 @@ pypi-upload: install-releasetools
 
 install-package:
 	@test -e $(python) || python3 -m venv $(venv)
-	$(pip) install --prefer-binary --editable=.[test,develop,release,sql]
+	$(pip) install --prefer-binary --editable=.[test,sql,datasette,develop,release]
 
 install-doctools:
 	@test -e $(python) || python3 -m venv $(venv)

doc/export/sqlite.rst

@@ -95,6 +95,19 @@ Run a query on the ``dwd_phenology`` view.
     For more example SQL statements, see also :ref:`SQLite DWD archive usage
     <dwd-archive-usage>`.
 
+datasette
+---------
+`Datasette`_ is a tool for exploring and publishing data. It helps people take data of
+any shape or size and publish that as an interactive, explorable website and accompanying
+API.
+
+::
+
+    datasette serve --port 7777 *.sqlite
+
+https://datasette.io/tutorials/explore
+
+
 
 *******
 Details

phenodata/dwd/datasette_app/__main__.py

@@ -0,0 +1,57 @@
+import asyncio
+import logging
+from pathlib import Path
+
+import uvicorn
+from datasette.app import Datasette
+from datasette.cli import check_databases
+from datasette.utils import SpatialiteNotFound, StartupError
+
+
+logger = logging.getLogger(__name__)
+
+here = Path(__file__).parent
+
+
+def main():
+    #datasette.cli.serve()
+
+    files = ["phenodata-dwd-annual-recent.sqlite"]
+    options = {"config_dir": here}
+    #print("options:", options)
+    #scsdc
+
+    try:
+        ds = Datasette(files, **options)
+    except SpatialiteNotFound:
+        raise IOError("Could not find SpatiaLite extension")
+    except StartupError as e:
+        raise IOError(e.args[0])
+
+    # Run the "startup" plugin hooks
+    asyncio.get_event_loop().run_until_complete(ds.invoke_startup())
+
+    # Run async soundness checks - but only if we're not under pytest
+    asyncio.get_event_loop().run_until_complete(check_databases(ds))
+
+    url = None
+    host = "localhost"
+    port = 7777
+
+    # Start the server
+    url = "http://{}:{}{}?token={}".format(
+        host, port, ds.urls.path("-/auth-token"), ds._root_token
+    )
+    logger.info(url)
+    uvicorn_kwargs = dict(
+        host=host, port=port, log_level="info", lifespan="on", workers=1
+    )
+
+    # Bind to a Unix domain socket
+    #if uds:
+    #    uvicorn_kwargs["uds"] = uds
+    uvicorn.run(ds.app(), **uvicorn_kwargs)
+
+
+if __name__ == "__main__":
+    main()

phenodata/dwd/datasette_app/settings.json

@@ -0,0 +1,9 @@
+{
+  "cache_size_kb": 50000,
+  "default_cache_ttl": 86400,
+  "facet_time_limit_ms": 1000,
+  "force_https_urls": false,
+  "max_csv_mb": 500,
+  "num_sql_threads": 10,
+  "sql_time_limit_ms": 7420
+}

setup.py

@@ -86,6 +86,23 @@
     zip_safe=False,
     install_requires=requires,
     extras_require={
+        'datasette': [
+            'datasette<1',
+            'datasette-atom<1',
+            'datasette-ics<1',
+            # 'datasette-configure-fts<2',
+            'datasette-cluster-map<1',
+            'datasette-copyable<1',
+            'datasette-dashboards<1',
+            'datasette-graphql<3',
+            'datasette-gzip<1',
+            'datasette-query-files<1',
+            'datasette-query-links<1',
+            #'datasette-redirect-to-https<1',
+            'datasette-search-all<2',
+            #'datasette-total-page-time<1',  # Internal Server Error
+            'datasette-vega<1',
+        ],
         'sql': ['duckdb>=0.3,<0.8'],
         'test': test_requires,
     },