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Client: Support for multiple result nodes #391
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It looks like we can create a valid process graph from multiple datacubes, as long as we use the same flattener.
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so way forward is either updating create_job or a variant of that method that accepts multiple datacubes? or |
In the python client we already have a base class results = MultiResult([cube_as_tiff, cube_as_netcdf, vector_cube])
results.execute_batch(...) (all naming up for discussion of course) |
For grassland watch this is a requirement. |
Make GraphFlattener multi-input-sensitive, and be more careful about accidental mutation in this context
Make GraphFlattener multi-input-sensitive, and be more careful about accidental mutation in this context
ready to merge: just waiting for quick review if possible |
merged #651 |
follow up of Open-EO/openeo-processes#401
python client needs some kind of support for building process graphs with multiple result nodes
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