def test_metadata_bands_dimension_no_band_dimensions():
metadata = CollectionMetadata({
"cube:dimensions": {
"x": {"type": "spatial", "axis": "x"},
}
})
with pytest.raises(MetadataException, match="No band dimension"):
metadata.band_dimension
with pytest.raises(MetadataException, match="No band dimension"):
metadata.bands
with pytest.raises(MetadataException, match="No band dimension"):
metadata.band_common_names
with pytest.raises(MetadataException, match="No band dimension"):
metadata.get_band_index("red")
with pytest.raises(MetadataException, match="No band dimension"):
metadata.filter_bands(["red"])
def load_collection(self, collection_id: str, load_params: LoadParameters,
env: EvalEnv) -> DummyDataCube:
_register_load_collection_call(collection_id, load_params)
if collection_id in _collections:
return _collections[collection_id]
metadata = CollectionMetadata(
metadata=self.get_collection_metadata(collection_id))
if load_params.bands:
metadata = metadata.filter_bands(load_params.bands)
image_collection = DummyDataCube(metadata=metadata)
_collections[collection_id] = image_collection
return image_collection