|
|
|
@ -450,7 +450,8 @@ def flatten(d: MutableMapping, parent='', separator='_'):
|
|
|
|
|
@click.argument('mets_files', type=click.Path(exists=True), required=True, nargs=-1)
|
|
|
|
|
@click.option('--output', '-o', 'output_file', type=click.Path(), help='Output pickle file',
|
|
|
|
|
default='mods_info_df.pkl', show_default=True)
|
|
|
|
|
def process(mets_files: List[str], output_file: str):
|
|
|
|
|
@click.option('--output-csv', type=click.Path(), help='Output CSV file')
|
|
|
|
|
def process(mets_files: List[str], output_file: str, output_csv: str):
|
|
|
|
|
"""
|
|
|
|
|
A tool to convert the MODS metadata in INPUT to a pandas DataFrame.
|
|
|
|
|
|
|
|
|
@ -517,6 +518,9 @@ def process(mets_files: List[str], output_file: str):
|
|
|
|
|
# Pickle the DataFrame
|
|
|
|
|
logging.info('Writing DataFrame to {}'.format(output_file))
|
|
|
|
|
mods_info_df.to_pickle(output_file)
|
|
|
|
|
if output_csv:
|
|
|
|
|
logging.info('Writing CSV to {}'.format(output_csv))
|
|
|
|
|
mods_info_df.to_csv(output_csv)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
def main():
|
|
|
|
|