v3-pyright-heal

You can automatically fix Python type checking errors by iteratively running Pyright and applying corrective edits to source files. This automated healing process resolves missing attributes, incorrect imports, and type mismatches until the codebase achieves strict type compliance.

Yes, you can resolve Pyright import issues and undefined variables automatically. The tool parses Pyright error logs and applies intelligent patches to correct incorrect imports, missing attributes, and undefined variables without requiring manual codebase intervention.

Yes, you need both uv and pyright installed in your environment to run automated Python type healing. A functional environment with these dependencies is required to perform the static analysis and apply the necessary source file modifications.

The best way to ensure strict type compliance after a refactor is running automated iterative Pyright checks. This tool sequentially analyzes the test suite, resolves type mismatches, and patches imports until all type annotations meet strict compliance standards.

Iterative type checking handles persistent type mismatches by repeatedly executing Pyright on Python scripts and applying targeted code fixes. The cycle continues automatically until the error logs are completely clear or the defined iteration limit is reached.

The primary limitation of automated Python type checking is the iteration limit; if complex configuration file errors exceed this cap, the cycle stops before achieving clean code. Additionally, it requires a pre-existing functional environment with uv and pyright.