pytest-optimized-parametrization
This repository contains a solution to optimize the test parametrization process in pytest, specifically addressing performance issues that arise in large test suites with numerous tests and fixtures. By implementing a filtering mechanism within the pytest_generate_tests
hook, this solution ensures that only the relevant tests matching specified markers or keywords are parametrized, significantly reducing unnecessary overhead and improving overall test execution performance.
- Efficient Parametrization: Dynamically parametrize only the tests that match specified markers or keywords, reducing collection time and resource consumption.
- Customizable Filtering: Easily adjust the filtering mechanism to suit different testing needs and configurations.
- Enhanced Performance: Focus computational resources on relevant tests, improving test execution speed and developer productivity.
- Detailed Logging: Comprehensive logging to trace the parametrization process and identify tests that are included or excluded based on markers and keywords.
pytest_generate_tests
Hook: A customized implementation of thepytest_generate_tests
hook to optimize test parametrization.- Helper Functions: Functions to evaluate expressions, check marker presence, and determine if tests should be skipped based on markers or keywords.
- Examples and Usage: Sample code and usage instructions to demonstrate how to integrate and use the optimized parametrization in your own pytest setup.
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Clone the Repository:
git clone https://github.com/yourusername/pytest-optimized-parametrization.git
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Install Dependencies: Ensure you have pytest installed. You can install it via pip if needed:
pip install pytest
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Integrate the Custom Hook: Add the provided
pytest_generate_tests
hook and helper functions to your pytest configuration by placing them in aconftest.py
. -
Run Tests with Markers: Use markers to specify which tests to parametrize and run, leveraging the optimized filtering mechanism:
pytest -m "your_marker"
Contributions are welcome! If you have ideas for improvements or find any issues, please open an issue or submit a pull request.
This project is licensed under the MIT License. See the LICENSE file for details.
By implementing this solution, you can significantly improve the efficiency and performance of your test suite, ensuring that pytest remains a powerful and scalable tool for your testing needs.