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💡 [REQUEST] - Migrate to a modern Python stack #459

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lvaylet opened this issue May 15, 2024 · 1 comment · May be fixed by #460
Open
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💡 [REQUEST] - Migrate to a modern Python stack #459

lvaylet opened this issue May 15, 2024 · 1 comment · May be fixed by #460
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ci dependencies Pull requests that update a dependency file docs documentation Improvements or additions to documentation github_actions Pull requests that update GitHub Actions code refactor tests Testing improvements / bugs

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@lvaylet
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lvaylet commented May 15, 2024

Summary

Following up on issues like #432 and #456 that involve dependency management and packaging, moving to a more modern Python stack would make things a lot simple and a lot easier.

Basic Example

For example, mature tools like Poetry and Hatch support lock files for reproducibility. They can also isolate different parts of a CI pipeline in dedicated virtual environments, allowing linting and testing to have different dependencies from the default installation. Finally, they are able to publish to PyPi without twine.

Ruff is a fast and reliable drop-in replacement for packages like flake8, black, isort and pylint. And it is written in Rust! It does not replace type checkers like mypy though.

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Drawbacks

A bit of work required to migrate. Hatch is able to migrate from setuptools with hatch new --init.

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  • I agree to follow this project's Code of Conduct
@lvaylet lvaylet added documentation Improvements or additions to documentation tests Testing improvements / bugs docs ci refactor dependencies Pull requests that update a dependency file github_actions Pull requests that update GitHub Actions code labels May 15, 2024
@lvaylet lvaylet self-assigned this May 15, 2024
@lvaylet lvaylet linked a pull request May 15, 2024 that will close this issue
@lvaylet
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lvaylet commented May 22, 2024

Hatch has an interesting concept with environment matrices. Compared to GitHub matrix strategies, Hatch might be able to speed up CI as a whole. For example by automatically caching pytype artifacts in .pytype/, as the different Python versions used in the matrix seem to share the checked-out codebase.

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