added support for source data with multiple time dimensions #340
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alxmrs
requested changes
Jun 12, 2023
weather_mv/loader_pipeline/sinks.py
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| common_dims = set(tiff_config['dims']).intersection(set(ds.dims)) if tiff_config else [] | ||
| dims_map['_'.join(common_dims)].append(ds) | ||
| mdl = [] | ||
| for keys,dsl in dims_map.items(): |
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I don't know what's going on here. in this loop. Can you add comments and/or break this up into smaller functions?
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I have refactored the code and also added comments
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@Piyush-Ingale: I recommend seeking @deepgabani8's advice (and review) on this PR. In my experience, he has found a few simpler ways to accomplish similar goals. |
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resolves #305
solution is to either create multiple tiff files or store data as bands. So user can specify using
--tiff_configwhich dimensions to consider while generating tiff files. tiff_config will look like this{"dims":["isobaricInhPa"]}By default if time or step dimension is present in source data then it will create multiple tiff files for these dimensions.