code-refactoring-solid

To refactor Python code with SOLID principles, you extract responsibilities from large classes, introduce clear interfaces, and apply patterns like extract method or extract class to split tangled concerns into smaller, testable components.

You need SOLID refactoring when your Python project has tangled responsibilities, brittle tests, and modules that are difficult to extend safely. It targets monolithic classes by extracting concerns and separating interfaces.

The best way to separate concerns is applying patterns like extract class, introduce parameter objects, and replace conditional logic with polymorphism. This documents refactoring steps to ensure safe modification and easier extension.

Yes, this SOLID refactoring approach works with existing Python codebases that have brittle tests. It targets tangled responsibilities across modules, introducing interfaces and extracting methods to improve testability and extensibility.

Yes, you can introduce interfaces and dependency inversion in Python without external libraries. This skill guides you through defining clear interfaces and applying dependency inversion to decouple components for safer modification.

The limitation of SOLID refactoring is that it targets existing Python projects with tangled responsibilities, requiring identifiable large classes to split. It focuses on structural improvement and may not address external architectural dependencies.