qurator-spk/modstool
1
0
Fork 0
mirror of https://github.com/qurator-spk/modstool.git synced 2025-11-04 03:14:14 +01:00
Code Issues Releases Wiki Activity

Remove direct CSV/Excel support

Browse source 
Remove direct CVS/Excel support from the CLI; README now has instructions to convert.

Closes gh-40.
This commit is contained in:
Mike Gerber 2024-07-31 11:09:34 +02:00
parent a1f333f4a4
commit 7122f0265f
3 changed files with 19 additions and 13 deletions
Download patch file Download diff file Expand all files Collapse all files

12
README.md
View file

@ -28,6 +28,18 @@ mods4pandas /path/to/a/directory/containing/mets_files
alto4pandas /path/to/a/directory/full/of/alto_files alto4pandas /path/to/a/directory/full/of/alto_files
~~~ ~~~
### Conversion to other formats
CSV:
```
python -c 'import pandas as pd; pd.read_parquet("mods_info_df.parquet").to_csv("mods_info_df.csv")'
```
Excel (requires `XlsxWriter`):
```
python -c 'import pandas as pd; pd.read_parquet("mods_info_df.parquet").to_excel("mods_info_df.xlsx"
, engine="xlsxwriter")'
```
## Example ## Example
In this example we convert the MODS metadata contained in the METS files in In this example we convert the MODS metadata contained in the METS files in
`/srv/data/digisam_mets-sample-300` to a pandas DataFrame under `/srv/data/digisam_mets-sample-300` to a pandas DataFrame under

2
requirements.txt
View file

@ -3,5 +3,5 @@ pandas
numpy numpy
tqdm tqdm
lxml lxml
openpyxl
pyarrow pyarrow
XslxWriter

18
src/mods4pandas/mods4pandas.py
View file

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