feat: Use validated local storage for data uploads#1612
Merged
TrevorBergeron merged 12 commits intomainfrom Apr 14, 2025
Merged
feat: Use validated local storage for data uploads#1612TrevorBergeron merged 12 commits intomainfrom
TrevorBergeron merged 12 commits intomainfrom
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chelsea-lin
reviewed
Apr 12, 2025
| pandas_dataframe_copy.columns = pandas.Index(new_col_ids) | ||
| pandas_dataframe_copy[ordering_col] = np.arange(pandas_dataframe_copy.shape[0]) | ||
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| timedelta_cols = utils.replace_timedeltas_with_micros(pandas_dataframe_copy) |
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you may wan to remove this function from utils.
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makes sense, yeah, done
bigframes/session/loader.py
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| # JSON support incomplete | ||
| for item in data.schema.items: | ||
| utils.validate_dtype_can_load(item.column, item.dtype) |
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an we move valid_dtype_can_load into loader.py? It was put in utils.py for referencing by two places.
sycai
approved these changes
Apr 14, 2025
bigframes/session/loader.py
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| return configuration | ||
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| def _search_for_nested_json_type(arrow_type: pa.DataType) -> bool: |
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naming nit: _has_json_arrow_type(...) ?
| we're using a workaround: storing JSON as strings and then parsing them into JSON | ||
| objects. | ||
| TODO(b/395912450): Remove workaround solution once b/374784249 got resolved. | ||
| """ |
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We should probably add some content in the Python doc to indicate that an error will be raised if the validation fails.
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added docstring raises
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Fixes #<issue_number_goes_here> 🦕