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🐛 Fix converting/writing out per-page information (e.g. structure information)

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This commit is contained in:
Mike Gerber 2024-07-31 10:27:46 +02:00
parent 1bf86bfb4c
commit a1f333f4a4
2 changed files with 14 additions and 12 deletions
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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
our environment/needs at the State Library Berlin and may need to be changed for
your library.
Per-page information (e.g. structure information from the METS structMap) can
be converted as well (`--output-page-info`).
**alto4pandas** converts the metadata from ALTO files into a pandas DataFrame.
Column names are derived from the corresponding ALTO elements. Some columns
@ -31,14 +34,14 @@ In this example we convert the MODS metadata contained in the METS files in
`mods_info_df.parquet`. This file can then be read by your data scientist using
`pd.read_parquet()`.
~~~
```
% mods4pandas /srv/data/digisam_mets-sample-300
INFO:root:Scanning directory /srv/data/digisam_mets-sample-300
301it [00:00, 19579.19it/s]
INFO:root:Processing METS files
100%|████████████████████████████████████████| 301/301 [00:01<00:00, 162.59it/s]
INFO:root:Writing DataFrame to mods_info_df.pkl
~~~
INFO:root:Writing DataFrame to mods_info_df.parquet
```
In the next example we convert the metadata from the ALTO files in the test data
directory:
@ -56,5 +59,5 @@ Scanning directory qurator/mods4pandas/tests/data/alto/PPN715049151
Scanning directory qurator/mods4pandas/tests/data/alto/749782137
Scanning directory qurator/mods4pandas/tests/data/alto/weird-ns
INFO:alto4pandas:Processing ALTO files
INFO:alto4pandas:Writing DataFrame to alto_info_df.pkl
INFO:alto4pandas:Writing DataFrame to alto_info_df.parquet
~~~

15
src/mods4pandas/mods4pandas.py
View file

@ -373,8 +373,8 @@ def pages_to_dict(mets, raise_errors=True) -> List[Dict]:
default='mods_info_df.parquet', show_default=True)
@click.option('--output-csv', type=click.Path(), help='Output CSV file')
@click.option('--output-xlsx', type=click.Path(), help='Output Excel .xlsx file')
@click.option('--page-info', is_flag=True, show_default=True, default=False, help='Save page info')
def process(mets_files: List[str], output_file: str, output_csv: str, output_xlsx: str, page_info: bool):
@click.option('--output-page-info', type=click.Path(), help='Save page info')
def process(mets_files: List[str], output_file: str, output_csv: str, output_xlsx: str, output_page_info: str):
"""
A tool to convert the MODS metadata in INPUT to a pandas DataFrame.
@ -420,11 +420,11 @@ def process(mets_files: List[str], output_file: str, output_csv: str, output_xls
d['mets_file'] = mets_file
# METS - per-page
if page_info:
if output_page_info:
page_info_doc: list[dict] = pages_to_dict(mets, raise_errors=True)
mods_info.append(d)
if page_info:
if output_page_info:
page_info.extend(page_info_doc)
if caught_warnings:
@ -450,12 +450,11 @@ def process(mets_files: List[str], output_file: str, output_csv: str, output_xls
mods_info_df.to_excel(output_xlsx)
# Convert page_info
# XXX hardcoded filenames + other formats
if page_info:
if output_page_info:
page_info_df = dicts_to_df(page_info, index_column=("ppn", "ID"))
# Save the DataFrame
logger.info('Writing DataFrame to {}'.format("page_info_df.parquet"))
page_info_df.to_parquet("page_info_df.parquet")
logger.info('Writing DataFrame to {}'.format(output_page_info))
page_info_df.to_parquet(output_page_info)
def main():