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🐛 Fix converting/writing out per-page information (e.g. structure information)
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2 changed files with 14 additions and 12 deletions
11
README.md
11
README.md
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@ -10,6 +10,9 @@ instead of ordered lists for topics, etc. Parts of the tool are specific to
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our environment/needs at the State Library Berlin and may need to be changed for
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your library.
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Per-page information (e.g. structure information from the METS structMap) can
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be converted as well (`--output-page-info`).
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**alto4pandas** converts the metadata from ALTO files into a pandas DataFrame.
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Column names are derived from the corresponding ALTO elements. Some columns
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@ -31,14 +34,14 @@ In this example we convert the MODS metadata contained in the METS files in
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`mods_info_df.parquet`. This file can then be read by your data scientist using
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`pd.read_parquet()`.
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~~~
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```
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% mods4pandas /srv/data/digisam_mets-sample-300
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INFO:root:Scanning directory /srv/data/digisam_mets-sample-300
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301it [00:00, 19579.19it/s]
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INFO:root:Processing METS files
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100%|████████████████████████████████████████| 301/301 [00:01<00:00, 162.59it/s]
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INFO:root:Writing DataFrame to mods_info_df.pkl
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~~~
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INFO:root:Writing DataFrame to mods_info_df.parquet
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```
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In the next example we convert the metadata from the ALTO files in the test data
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directory:
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@ -56,5 +59,5 @@ Scanning directory qurator/mods4pandas/tests/data/alto/PPN715049151
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Scanning directory qurator/mods4pandas/tests/data/alto/749782137
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Scanning directory qurator/mods4pandas/tests/data/alto/weird-ns
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INFO:alto4pandas:Processing ALTO files
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INFO:alto4pandas:Writing DataFrame to alto_info_df.pkl
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INFO:alto4pandas:Writing DataFrame to alto_info_df.parquet
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~~~
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@ -373,8 +373,8 @@ def pages_to_dict(mets, raise_errors=True) -> List[Dict]:
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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('--page-info', is_flag=True, show_default=True, default=False, help='Save page info')
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def process(mets_files: List[str], output_file: str, output_csv: str, output_xlsx: str, page_info: bool):
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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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"""
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A tool to convert the MODS metadata in INPUT to a pandas DataFrame.
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@ -420,11 +420,11 @@ def process(mets_files: List[str], output_file: str, output_csv: str, output_xls
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d['mets_file'] = mets_file
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# METS - per-page
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if page_info:
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if output_page_info:
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page_info_doc: list[dict] = pages_to_dict(mets, raise_errors=True)
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mods_info.append(d)
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if page_info:
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if output_page_info:
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page_info.extend(page_info_doc)
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if caught_warnings:
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@ -450,12 +450,11 @@ def process(mets_files: List[str], output_file: str, output_csv: str, output_xls
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mods_info_df.to_excel(output_xlsx)
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# Convert page_info
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# XXX hardcoded filenames + other formats
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if page_info:
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if output_page_info:
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page_info_df = dicts_to_df(page_info, index_column=("ppn", "ID"))
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# Save the DataFrame
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logger.info('Writing DataFrame to {}'.format("page_info_df.parquet"))
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page_info_df.to_parquet("page_info_df.parquet")
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logger.info('Writing DataFrame to {}'.format(output_page_info))
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page_info_df.to_parquet(output_page_info)
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def main():
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