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Speed up computing with dask #55

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Oct 15, 2021
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Speed up computing with dask #55

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9 changes: 5 additions & 4 deletions src/openeo_processes/cubes.py
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Original file line number Diff line number Diff line change
Expand Up @@ -671,22 +671,23 @@ def create_output_filepath(output_filepath: str, idx: int = 0, ext: str = "nc")
data.attrs.pop('grid_mapping')
# end workaround

dask_result = data.compute() # perform computation
formats = ('GTiff', 'netCDF')
if format.lower() == 'netcdf':
data_list = refactor_data(data)
data_list = refactor_data(dask_result)
paths = []
for idx in range(len(data_list)):
paths.append(create_output_filepath(output_filepath, idx, 'nc'))
# combined dataset
if 'time' in data.coords:
combined_dataset = reformat_dataset(data, None, has_time_dim=True)
if 'time' in dask_result.coords:
combined_dataset = reformat_dataset(dask_result, None, has_time_dim=True)
data_list.append(combined_dataset)
combined_path = f'{splitext(output_filepath)[0]}_combined.nc'
paths.append(combined_path)
xr.save_mfdataset(data_list, paths)

elif format.lower() in ['gtiff','geotiff']:
data_list = refactor_data(data)
data_list = refactor_data(dask_result)
if len(data_list[0].dims) > 3:
raise Exception("[!] Not possible to write a 4-dimensional GeoTiff, use NetCDF instead.")
for idx, dataset in enumerate(data_list):
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