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🐛 Write mods_info Parquet file again

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This commit is contained in:
Mike Gerber 2024-11-28 18:27:39 +01:00
parent abb20b8ba9
commit 11a04916f3
1 changed files with 12 additions and 9 deletions
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19
src/mods4pandas/mods4pandas.py
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@ -399,19 +399,24 @@ def process(mets_files: List[str], output_file: str, output_page_info: str):
mets_files_real.append(m)
# Process METS files
# Prepare output files
with contextlib.suppress(FileNotFoundError):
os.remove(output_file)
output_file_sqlite3 = output_file + ".sqlite3"
with contextlib.suppress(FileNotFoundError):
os.remove(output_file_sqlite3)
logger.info('Writing SQLite DB to {}'.format(output_file_sqlite3))
con = sqlite3.connect(output_file_sqlite3)
if output_page_info:
output_page_info_sqlite3 = output_page_info + ".sqlite3"
logger.info('Writing SQLite DB to {}'.format(output_page_info_sqlite3))
with contextlib.suppress(FileNotFoundError):
os.remove(output_page_info_sqlite3)
con_page_info = sqlite3.connect(output_page_info_sqlite3)
# Process METS files
with open(output_file + '.warnings.csv', 'w') as csvfile:
csvwriter = csv.writer(csvfile)
mods_info = []
@ -454,14 +459,12 @@ def process(mets_files: List[str], output_file: str, output_page_info: str):
except Exception as e:
logger.exception('Exception in {}'.format(mets_file))
# Convert the mods_info List[Dict] to a pandas DataFrame
# TODO
# mods_info_df = dicts_to_df(mods_info, index_column="recordInfo_recordIdentifier")
# Convert the mods_info SQL to a pandas DataFrame
mods_info_df = pd.read_sql_query("SELECT * FROM mods_info", con, index_col="recordInfo_recordIdentifier")
# Save the DataFrame
# TODO
#logger.info('Writing DataFrame to {}'.format(output_file))
#mods_info_df.to_parquet(output_file)
logger.info('Writing DataFrame to {}'.format(output_file))
mods_info_df.to_parquet(output_file)
# Convert page_info
# TODO