handle default temporal extent specifically in load_stac

CHANGELOG.md

@@ -21,7 +21,11 @@ and start a new "In Progress" section above it.
 
 ## In progress
 
-- NDVI process: correctly handle band dimension as part of dry run 
+- NDVI process: correctly handle band dimension as part of dry run
+
+## 0.119.0
+
+- `load_stac`: allow omitting `datetime` parameter from STAC API item search request if no `temporal_extent` specified ([Open-EO/openeo-geopyspark-driver#950](https://github.com/Open-EO/openeo-geopyspark-driver/issues/950))
 
 ## 0.118.0
 

openeo_driver/ProcessGraphDeserializer.py

@@ -70,6 +70,8 @@
 from openeo_driver.util.utm import auto_utm_epsg_for_geometry
 from openeo_driver.utils import EvalEnv, smart_bool
 
+DEFAULT_TEMPORAL_EXTENT = ["1970-01-01", "2070-01-01"]  # also a sentinel value for load_stac
+
 _log = logging.getLogger(__name__)
 
 # Set up process registries (version dependent)
@@ -582,7 +584,7 @@ def _extract_load_parameters(env: EvalEnv, source_id: tuple) -> LoadParameters:
     source_constraints.remove((source_id,constraints))  # Side effect!
 
     params = LoadParameters()
-    params.temporal_extent = constraints.get("temporal_extent", ["1970-01-01", "2070-01-01"])
+    params.temporal_extent = constraints.get("temporal_extent", DEFAULT_TEMPORAL_EXTENT)
     labels_args = constraints.get("filter_labels", {})
     if("dimension" in labels_args and labels_args["dimension"] == "t"):
         params.filter_temporal_labels = labels_args.get("condition")

openeo_driver/_version.py

@@ -1 +1 @@
-__version__ = "0.118.0a1"
+__version__ = "0.119.0a1"

tests/test_views_execute.py

@@ -4148,6 +4148,20 @@ def test_synchronous_processing_request_costs(
     )
 
 
+def test_load_stac_default_temporal_extent(api, backend_implementation):
+    with mock.patch.object(backend_implementation, "load_stac") as load_stac:
+        api.ensure_auth_header()
+        pg = {"loadstac1": {"process_id": "load_stac", "arguments": {"url": "https://stac.test"}, "result": True}}
+        post_data = {
+            "process": {"process_graph": pg},
+        }
+        api.post(path="/result", json=post_data)
+
+    assert load_stac.call_count == 1
+    _, kwargs = load_stac.call_args
+
+    assert kwargs["load_params"]["temporal_extent"] == ["1970-01-01", "2070-01-01"]
+
 
 class TestVectorCubeRunUDF:
     """