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@ -369,19 +369,19 @@ def pages_to_dict(mets, raise_errors=True) -> List[Dict]:
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@click.command()
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@click.argument('mets_files', type=click.Path(exists=True), required=True, nargs=-1)
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@click.option('--output', '-o', 'output_file', type=click.Path(), help='Output file',
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@click.option('--output', '-o', 'output_file', type=click.Path(), help='Output Parquet file',
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default='mods_info_df.parquet', show_default=True)
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@click.option('--output-csv', type=click.Path(), help='Output CSV file')
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@click.option('--output-xlsx', type=click.Path(), help='Output Excel .xlsx file')
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@click.option('--output-page-info', type=click.Path(), help='Save page info')
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def process(mets_files: List[str], output_file: str, output_csv: str, output_xlsx: str, output_page_info: str):
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@click.option('--output-page-info', type=click.Path(), help='Output page info Parquet file')
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def process(mets_files: List[str], output_file: str, output_page_info: str):
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"""
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A tool to convert the MODS metadata in INPUT to a pandas DataFrame.
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INPUT is assumed to be a METS document with MODS metadata. INPUT may optionally be a directory. The tool then reads
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all files in the directory.
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mods4pandas writes two output files: A pickled pandas DataFrame and a CSV file with all conversion warnings.
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mods4pandas writes two output files: A pandas DataFrame (as Parquet) and a CSV file with all conversion warnings.
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Per-page information (e.g. structure information) can be output to a separate Parquet file.
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"""
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# Extend file list if directories are given
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@ -442,12 +442,6 @@ def process(mets_files: List[str], output_file: str, output_csv: str, output_xls
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# Save the DataFrame
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logger.info('Writing DataFrame to {}'.format(output_file))
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mods_info_df.to_parquet(output_file)
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if output_csv:
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logger.info('Writing CSV to {}'.format(output_csv))
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mods_info_df.to_csv(output_csv)
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if output_xlsx:
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logger.info('Writing Excel .xlsx to {}'.format(output_xlsx))
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mods_info_df.to_excel(output_xlsx)
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# Convert page_info
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if output_page_info:
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