Support VectorCube type as spatial_extent in load_collection

@Pratichhya

I get an error when providing vector data as spatial_extent in load_collection:

{'loadurl1': {'process_id': 'load_url',
  'arguments': {'format': 'Parquet',
   'url': 'https://artifactory.vgt.vito.be/artifactory/auxdata-public/gfmap/32736-random-points.geoparquet'}},
 'loadcollection1': {'process_id': 'load_collection',
  'arguments': {'bands': ['NDVI_10M'],
   'id': 'TERRASCOPE_S2_NDVI_V2',
   'spatial_extent': {'from_node': 'loadurl1'},
   'temporal_extent': ['2022-05-01', '2022-05-30']},
  'result': True}}

This process graph results in OpenEoApiError: [500] Internal: Server error: AttributeError("'DriverVectorCube' object has no attribute 'get'")

It's not a blocking issue for me, as there is an easy workaround, by just omitting the spatial_extent in load_collection. However, could we already provide a clearer error message in the meantime?

CC: @Pratichhya

@VincentVerelst

@VincentVerelst , do you have a job-id or request ID?
Otherwise the probably stack trace is:

  File "/opt/venv/lib64/python3.8/site-packages/openeo_driver/ProcessGraphDeserializer.py", line 747, in load_collection
    arguments["spatial_extent"] = _extract_bbox_extent(
  File "/opt/venv/lib64/python3.8/site-packages/openeo_driver/ProcessGraphDeserializer.py", line 1464, in _extract_bbox_extent
    if handle_geojson and extent.get("type") in [
AttributeError: 'DriverVectorCube' object has no attribute 'get'

@EmileSonneveld

@EmileSonneveld, j-25032012233243e4b07404b15f1a26a8 on Terrascope

This popped up again: Teams

aoi = eoconn.load_url("https://raw.githubusercontent.com/Pratichhya/Pratichhya.github.io/refs/heads/master/content/fewparcels.geojson", format="GeoJSON")
# aoi_pq = eoconn.load_url("https://artifactory.vgt.vito.be/artifactory/auxdata-public/marketplace/services_dependency/wig_file.parquet", format="Parquet")
cube = eoconn.load_collection(
    "TERRASCOPE_S2_NDVI_V2",
    spatial_extent=aoi,
    temporal_extent=["2022-05-01", "2022-05-30"],
    bands=["NDVI_10M"],
)
# Rescale digital number to physical values and take temporal maximum.
cube = cube.apply(lambda x: 0.004 * x - 0.08).max_time()

cube.execute_batch(title="ndvi timeseries using url")

Error:

Preflight process graph validation raised: [ProcessParameterInvalid] The value passed for parameter 'spatial_extent' in process 'load_collection' is invalid: Expected dictionary/mapping but got vector cube.

The workaround is to replace the spatial_extent argument to load_collection with add a call to filter_spatial(aoi).

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Support `VectorCube` type as `spatial_extent` in `load_collection` #385

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Support VectorCube type as spatial_extent in load_collection #385

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EmileSonneveld commented on Mar 20, 2025

VincentVerelst commented on Mar 20, 2025

bossie commented on Jul 10, 2026

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Support `VectorCube` type as `spatial_extent` in `load_collection` #385