polars-hist-db 0.4.1

dsv --> dataframe <--> bitemporal-tables

polars-hist-db

This library is for scraping data from CSV style files, temporally, into MariaDB.

Main features are:

• Uploading data from strongly-typed Polars DataFrames.
• Querying data into Polars DataFrames, with column types inferred from the database schema.
• A scrape specification that:
  • Defines pipelines for typing, enriching, and normalizing data before uploading.
  • Allows construction of the 'as-of' time from file attributes or as a function of the input columns.
  • Catalogs the history of scrape inputs to prevent duplication.
  • Supports per-file transactional scraping (either the processing for a file succeeds, or the transaction is rolled back).

Development Setup

1. Create a virtual environment:

python3 -m venv .venv
source .venv/bin/activate

2. Install development dependencies:

poetry install --with dev

3. Run tests:

poetry run pytest

4. Make docs. The documentation will be generated in the docs/_build/html directory:

cd docs && poetry run make html

Code Style

This project follows the following code style guidelines:

• Use type hints for all function parameters and return values
• Follow PEP 8 style guide
• Use Google-style docstrings
• Keep functions focused and single-purpose
• Write comprehensive tests for new features

Run make check to check the code style.

Contributing

1. Fork the repository
2. Create a feature branch
3. Commit your changes
4. Push to the branch
5. Create a Pull Request

License

This project is licensed under the terms specified in the LICENSE file.

References

• Polars Documentation
• SQLAlchemy Core Documentation
• MariaDB Bitemporal Tables