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fix: Issue(#1064) with same Items in parsed_result by Concatenating Each Parsed Result #1066

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fix: Issue(#1064) with same Items in parsed_result by Concatenating Each Parsed Result #1066

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dab1362
fix: parsed file with specific file_type could be concatenated
Dec 20, 2024
99c9f93
feat: convert name of var
Dec 20, 2024
b24d95f
fix: apply ruff format
Dec 20, 2024
bd7a60b
feat: add tests
Dec 26, 2024
69dfb3a
Revert "feat: add tests"
Dec 26, 2024
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14 changes: 12 additions & 2 deletions autorag/data/parse/run.py
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Original file line number Diff line number Diff line change
Expand Up @@ -107,7 +107,16 @@ def run_parser(
module_params,
)
)
list(map(lambda x: x[0].to_parquet(x[1], index=False), zip(results, filepaths)))

_files = {}
for result, filepath in zip(results, filepaths):
_files[filepath].append(result) if filepath in _files.keys() else _files.update(
{filepath: [result]}
)
# Save files with a specific file type as Parquet files.
for filepath, value in _files.items():
pd.concat(value).to_parquet(filepath, index=False)

filenames = list(map(lambda x: os.path.basename(x), filepaths))

summary_df = pd.DataFrame(
Expand All @@ -121,8 +130,9 @@ def run_parser(
summary_df.to_csv(os.path.join(project_dir, "summary.csv"), index=False)

# concat all parquet files here if not all_files.
_filepaths = list(_files.keys())
if not all_files:
dataframes = [pd.read_parquet(file) for file in filepaths]
dataframes = [pd.read_parquet(file) for file in _filepaths]
combined_df = pd.concat(dataframes, ignore_index=True)
combined_df.to_parquet(
os.path.join(project_dir, "parsed_result.parquet"), index=False
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