Issue #114/#141/#239 re-enable automatic vector cube conversion for Point geometries in aggregate_spatial

reverts 2ec255e and 4927eee
openeo-geopyspark-driver now properly supports point geometries

Author: soxofaan

openeo_driver/ProcessGraphDeserializer.py

@@ -1052,24 +1052,8 @@ def aggregate_spatial(args: dict, env: EvalEnv) -> DriverDataCube:
         geoms = geoms
     elif isinstance(geoms, dict):
         try:
-            if (
-                # Don't convert point geometries to DriverVectorCube
-                # TODO #114 migrate Point handling to DriverVectorCube too
-                geoms["type"] == "Point"
-                or (geoms["type"] == "Feature" and geoms["geometry"]["type"] == "Point")
-                or (
-                    geoms["type"] == "FeatureCollection"
-                    and any(f["geometry"]["type"] == "Point" for f in geoms["features"])
-                )
-                or (
-                    geoms["type"] == "GeometryCollection"
-                    and any(g["type"] == "Point" for g in geoms["geometries"])
-                )
-            ):
-                geoms = geojson_to_geometry(geoms)
-            else:
-                # Automatically convert inline GeoJSON to a vector cube #114/#141
-                geoms = env.backend_implementation.vector_cube_cls.from_geojson(geoms)
+            # Automatically convert inline GeoJSON to a vector cube #114/#141
+            geoms = env.backend_implementation.vector_cube_cls.from_geojson(geoms)
         except Exception as e:
             _log.error(
                 f"Failed to parse inline GeoJSON geometries in aggregate_spatial: {e!r}",

openeo_driver/_version.py

@@ -1 +1 @@
-__version__ = "0.21.5a1"
+__version__ = "0.21.6a1"

openeo_driver/dry_run.py

@@ -463,6 +463,7 @@ def aggregate_spatial(
         cube = self.filter_bbox(**bbox, operation="_weak_spatial_extent")
         cube._process(operation="aggregate_spatial", arguments={"geometries": geometries})
         if isinstance(geometries, (Polygon, MultiPolygon)):
+            # TODO #71 normalize to feature collection instead of deprecated geometry collection
             geometries = GeometryCollection([geometries])
         return AggregatePolygonResult(timeseries={}, regions=geometries)