Add data parameter to _detect_relationships method
#2190
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sdv/metadata/multi_table.py
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| data = { | ||
| csv_file.stem: pd.read_csv(str(csv_file), **read_csv_parameters) | ||
| for csv_file in csv_files | ||
| } |
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should we just add the data to the dict in the for loop above?
sdv/metadata/multi_table.py
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| for csv_file in csv_files: | ||
| table_name = csv_file.stem | ||
| self.detect_table_from_csv(table_name, str(csv_file), read_csv_parameters) | ||
| data[csv_file.stem] = pd.read_csv(str(csv_file), **read_csv_parameters) |
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Can we just use the _load_from_csv util? Also instead of having to load the CSV twice, would it make more sense to load it and then use detect_from_dataframe instead?
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@frances-h Sure. Do you know if the detect_table_from_csv method is user facing? Otherwise this implementation removes the only usage of that method, so I would remove it.
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@amontanez24 thoughts? It's not in the docs but also doesn't have an _ preceding the function name. Maybe leave it for now and come back to it later?
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Yeah it's a private method, but you'd want to make sure it doesn't cause anything else to fail. I'm not sure if we use it anywhere else or in enterprise at all
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It's not used in SDV, SDV-Enterprise or SDGym.
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Then it should be fine to remove
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CU-86b0zfny6, Resolve https://github.com/datacebo/SDV-Enterprise/issues/643.