Add parquet input support (fixes #40) #41
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Pull request overview
This PR adds support for loading documents from Parquet files, addressing issue #40. The implementation refactors the document loading code by extracting common DataFrame processing logic into a reusable helper function, which improves code maintainability and reduces duplication between CSV and Parquet format handling.
- Introduced
InputDataType.PARQUETenum value and implementedload_parquet_doc()andload_parquet_dir()functions for Parquet file support - Refactored common DataFrame processing logic into
_load_docs_from_dataframe()helper function to support both CSV and Parquet formats - Added comprehensive parametrized tests covering both CSV and Parquet formats with file and directory scenarios
Reviewed changes
Copilot reviewed 9 out of 10 changed files in this pull request and generated 3 comments.
Show a summary per file
| File | Description |
|---|---|
| tests/autod/io/document_test.py | New comprehensive test suite for document loading functionality, with parametrized tests covering CSV, Parquet, JSON, and text formats |
| tests/autod/io/init.py | Added package initialization file with copyright header |
| tests/autod/init.py | Added package initialization file with copyright header |
| benchmark_qed/autod/io/document.py | Refactored CSV loading to use new _load_docs_from_dataframe() helper, implemented load_parquet_doc() and load_parquet_dir(), updated create_documents() to support Parquet format, and improved load_documents() attribute handling |
| benchmark_qed/autod/io/enums.py | Added PARQUET = "parquet" enum value to InputDataType |
| ruff.toml | Added flake8-copyright configuration with regex pattern for Microsoft copyright headers |
| pyproject.toml | Updated test coverage path from tests/unit to tests and added pytest configuration for temporary path retention |
| .gitignore | Uncommented .idea/ to ignore JetBrains IDE files |
| .github/workflows/python-ci.yml | Added test execution step to CI workflow |
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andresmor-ms
approved these changes
Dec 18, 2025
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This PR adds support for loading documents from Parquet files, refactors document loading code for better reusability, and improves the testing infrastructure.