validate-python-style

To validate Python docstrings, enforce Google-style sections including Args, Returns, and Raises. This validation checks documentation quality during automated reviews to ensure consistent formatting and complete parameter documentation across the project.

Enforce modern type hints in Python code reviews by validating modern union syntax like str | None. This ensures correct typing discipline and modern syntax usage across the project during automated CI checks.

Checking for explicit exception chaining in Python involves validating error handling patterns to ensure exceptions are raised with explicit chaining. This enforces proper error handling conventions during automated CI checks.

Yes, you can validate layered architecture and separation of concerns in a Python project. This checks architectural conventions during automated reviews to ensure structural boundaries are maintained across the codebase.

Yes, you should run linting and type-checking before validating Python architecture. This architectural and docstring validation assumes prior linting and type-checking have already been performed to catch structural issues.

Integrate Python style validation into your CI workflow by adding it as a pre-commit or CI step. Run the validator on changed Python files to catch documentation, typing, and architecture issues before review.