python3-publish-release-pipeline

Automating Python package publishing to PyPI uses GitHub Actions workflows to build, test, and upload distributions upon version tag pushes. This process configures automated testing, linting with Ruff and Mypy, and secure PyPI token handling.

Yes, GitLab CI can publish a Python package to PyPI. The setup generates GitLab CI pipeline files that trigger on version tags, automate testing and linting, and manage secure PyPI authentication using either tokens or trusted publishing.

Trusted publishing for PyPI releases is an authentication method that connects your CI/CD pipeline directly to PyPI without storing long-lived tokens. It secures the GitHub Actions or GitLab CI deployment by using OpenID Connect federation.

Yes, git tags are required to trigger the Python release pipeline. The CI/CD workflow is configured to detect version tags, which then initiates the automated building, testing, and publishing stages to push the package to PyPI.

Securely managing PyPI tokens in GitHub Actions involves storing them as encrypted secrets and referencing them in workflow YAML files. The setup provides documentation for handling these credentials safely or switching to trusted publishing.

Yes, the Python release pipeline includes automated linting and testing. It integrates tools like Ruff for code formatting and Mypy for static type checking to ensure code quality before building and publishing the distribution.