Merge branch 'geopython:master' into numbermatched_merge

.github/workflows/main.yml

@@ -65,7 +65,7 @@ jobs:
     - name: Install and run OpenSearch 📦
       uses: esmarkowski/[email protected]
       with:
-        version: 2.12.0
+        version: 2.18.0
         security-disabled: true
         port: 9209
     - name: Install and run MongoDB

docs/source/cql.rst

@@ -3,15 +3,18 @@
 CQL support
 ===========
 
+OGC Common Query Language (`CQL2`_) is a generic language designed to provide enhanced query and subset/filtering to (primarily) feature and record data.
+
 Providers
 ---------
 
-As of now the available providers supported for CQL filtering are limited to :ref:`Elasticsearch <Elasticsearch>` and :ref:`PostgreSQL <PostgreSQL>`.
-
+CQL2 support is implemented in various pygeoapi feature and record providers.  See the :ref:`feature <ogcapi-features>` and :ref:`metadata <ogcapi-records>` provider sections
+for current provider support.
+
 Limitations
 -----------
 
-Support of CQL is limited to `Simple CQL filter <https://portal.ogc.org/files/96288#cql-core>`_ and thus it allows to query with the
+Support of CQL is limited to `Basic CQL2 <https://docs.ogc.org/is/21-065r2/21-065r2.html#cql2-core>`_ and thus it allows to query with the
 following predicates:
 
 * comparison predicates
@@ -21,20 +24,20 @@ following predicates:
 Formats
 -------
 
-At the moment Elasticsearch supports only the CQL dialect with the JSON encoding `CQL-JSON <https://portal.ogc.org/files/96288#simple-cql-JSON>`_.
+Supported providers leverage the CQL2 dialect with the JSON encoding `CQL-JSON <https://docs.ogc.org/is/21-065r2/21-065r2.html#cql2-json>`_.
 
-PostgreSQL supports both CQL-JSON and CQL-text dialects, `CQL-JSON <https://portal.ogc.org/files/96288#simple-cql-JSON>`_ and `CQL-TEXT <https://portal.ogc.org/files/96288#simple-cql-text>`_
+PostgreSQL supports both `CQL2 JSON <https://docs.ogc.org/is/21-065r2/21-065r2.html#cql2-json>`_ and `CQL text <https://docs.ogc.org/is/21-065r2/21-065r2.html#cql2-text>`_ dialects.
 
 Queries
 ^^^^^^^
 
 The PostgreSQL provider uses `pygeofilter <https://github.com/geopython/pygeofilter>`_ allowing a range of filter expressions, see examples for:
 
-* `Comparison predicates <https://portal.ogc.org/files/96288#simple-cql_comparison-predicates>`_
-* `Spatial predicates <https://portal.ogc.org/files/96288#enhanced-spatial-operators>`_
-* `Temporal predicates <https://portal.ogc.org/files/96288#simple-cql_temporal>`_
+* `Comparison predicates (`Advanced <https://docs.ogc.org/is/21-065r2/21-065r2.html#advanced-comparison-operators>`_, `Case-insensitive <https://docs.ogc.org/is/21-065r2/21-065r2.html#case-insensitive-comparison>`_)
+* `Spatial predicates <https://docs.ogc.org/is/21-065r2/21-065r2.html#spatial-functions>`_
+* `Temporal predicates <https://docs.ogc.org/is/21-065r2/21-065r2.html#temporal-functions>`_
 
-Using Elasticsearch the following type of queries are supported right now:
+Using Elasticsearch the following type of queries are supported currently:
 
 * ``between`` predicate query
 * Logical ``and`` query with ``between`` and ``eq`` expression
@@ -59,11 +62,11 @@ A ``BETWEEN`` example for a specific property through an HTTP POST request:
   curl --location --request POST 'http://localhost:5000/collections/nhsl_hazard_threat_all_indicators_s_bc/items?f=json&limit=50&filter-lang=cql-json' \
   --header 'Content-Type: application/query-cql-json' \
   --data-raw '{
-    "between": {
-      "value": { "property": "properties.MHn_Intensity" },
-      "lower": 0.59,
-      "upper": 0.60
-    }
+    "op": "between",
+    "args": [
+        {"property": "properties.MHn_Intensity"},
+        [0.59, 0.60]
+    ]
   }'
 
 Or 
@@ -73,11 +76,11 @@ Or
   curl --location --request POST 'http://localhost:5000/collections/recentearthquakes/items?f=json&limit=10&filter-lang=cql-json' 
   --header 'Content-Type: application/query-cql-json' 
   --data-raw '{ 
-    "between":{
-      "value":{"property": "ml"},
-      "lower":4,
-      "upper":4.5
-    }
+    "op": "between",
+    "args": [
+        {"property": "ml"},
+        [4, 4.5]
+    ]
   }'
 
 The same ``BETWEEN`` query using HTTP GET request formatted as CQL text and URL encoded as below:
@@ -93,7 +96,11 @@ An ``EQUALS`` example for a specific property:
   curl --location --request POST 'http://localhost:5000/collections/recentearthquakes/items?f=json&limit=10&filter-lang=cql-json' 
   --header 'Content-Type: application/query-cql-json' 
   --data-raw '{
-      "eq":[{"property": "user_entered"},"APBE"]
+    "op": "=",
+    "args": [
+      {"property": "user_entered"},
+      "APBE"
+    ]
   }'
 
 A ``CROSSES`` example via an HTTP GET request.  The CQL text is passed via the ``filter`` parameter.
@@ -115,7 +122,6 @@ The same example, but this time providing a geometry in EWKT format:
 
   curl "http://localhost:5000/collections/beni/items?filter=DWITHIN(geometry,SRID=3857;POINT(1392921%205145517),100,meters)"
 
-
-
-
 Note that the CQL text has been URL encoded. This is required in curl commands but when entering in a browser, plain text can be used e.g. ``CROSSES(foo_geom, LINESTRING(28 -2, 30 -4))``.
+
+.. _`CQL2`: https://docs.ogc.org/is/21-065r2/21-065r2.html

docs/source/development.rst

@@ -22,44 +22,6 @@ Tests can be run locally as part of development workflow.  They are also run on
 To run all tests, simply run ``pytest`` in the repository.  To run a specific test file,
 run ``pytest tests/api/test_itemtypes.py``, for example.
 
-
-CQL extension lifecycle
------------------------
-
-Limitations
-^^^^^^^^^^^
-
-This workflow is valid only for the `CQL-JSON` format.
-
-Schema
-^^^^^^
-
-The Common Query Language (CQL) is the part 3 of the standard OGC API - Features. This extension has its specification available at
-`OGC API - Features - Part 3: Filtering and the Common Query Language (CQL) <https://portal.ogc.org/files/96288>`_ and the schema exists in development at
-`cql.json <https://portal.ogc.org/files/96288#cql-json-schema>`_.
-
-Model generation
-^^^^^^^^^^^^^^^^
-
-pygeoapi uses a class-based Python model interface to translate the schema into Python objects defined by `pydantic <https://docs.pydantic.dev/>`_ models.
-The model is generated with the pre-processing of the schema through the utility ``datamodel-codegen``, which is part
-of the `datamodel-code-generator <https://koxudaxi.github.io/datamodel-code-generator/>`_ package:
-
-
-.. code-block:: bash
-
-   # Generate from local downloaded json schema file
-   datamodel-codegen  --input ~/Download/cql-schema.json --input-file-type jsonschema --output ./pygeoapi/models/cql_update.py --class-name CQLModel
-
-Note that datamodel-code-generator must be explicitly installed, as it is not a pygeoapi runtime dependency
-
-How to merge
-^^^^^^^^^^^^
-
-Once the new pydantic models have been generated then the content of the Python file ``cql_update.py`` can be used to replace the old classes within the ``cql.py`` file.
-Update everything above the function ``get_next_node`` and then verify if the tests for the CQL are still passing, for example ``test_post_cql_json_between_query``
-in ``tests/test_elasticsearch__provider.py``.
-
 Working with Spatialite on OSX
 ------------------------------
 

pygeoapi/api/__init__.py

@@ -1161,6 +1161,16 @@ def describe_collections(api: API, request: APIRequest,
                         'cellsCount': p._coverage_properties['height'],
                         'resolution': p._coverage_properties['resy']
                     }]
+                    if 'time_range' in p._coverage_properties:
+                        collection['extent']['temporal'] = {
+                            'interval': [p._coverage_properties['time_range']]
+                        }
+                        if 'restime' in p._coverage_properties:
+                            collection['extent']['temporal']['grid'] = {
+                                'resolution': p._coverage_properties['restime']  # noqa
+                            }
+                    if 'uad' in p._coverage_properties:
+                        collection['extent'].update(p._coverage_properties['uad'])  # noqa
 
         try:
             tile = get_provider_by_type(v['providers'], 'tile')