def test_debug_udf():
"""
Shows how to run your UDF locally for testing. This method uses the same code as the backend, and can be used to check validity of your UDF.
https://open-eo.github.io/openeo-python-client/udf.html#example-downloading-a-datacube-and-executing-an-udf-locally
depends on composite.nc file created in earlier function!
"""
DataCube.execute_local_udf(compositing_udf, 'masked.nc', fmt='netcdf')
def test_run_local_udf_frommemory(self):
from openeo_udf.api.datacube import DataCube
dc=self.buildData()
r=rest_DataCube.execute_local_udf(udfcode, dc)
result=r.get_datacube_list()[0].get_array()
exec(udfcode)
ref=locals()["apply_datacube"](DataCube(dc.get_array().astype(numpy.float64).drop(labels='x').drop(labels='y')), {}).get_array()
xarray.testing.assert_allclose(result,ref)
def test_run_local_udf_fromfile(self):
from openeo_udf.api.datacube import DataCube
with TemporaryDirectory() as td:
dc=self.buildData()
tmpfile=os.path.join(td,'test_data')
dc.to_file(tmpfile)
r=rest_DataCube.execute_local_udf(udfcode, tmpfile)
result=r.get_datacube_list()[0].get_array()
exec(udfcode)
ref=locals()["apply_datacube"](DataCube(dc.get_array().astype(numpy.float64).drop(labels='x').drop(labels='y')), {}).get_array()
xarray.testing.assert_allclose(result,ref)
def test_run_local_udf_none(self):
r=rest_DataCube.execute_local_udf(udfcode)
self.assertEqual(r,None)
