conditional-imports

To fix cyclic imports caused by conditional imports, refactor the codebase to replace conditional dependencies with explicit protocols and dependency inversion principles. This enforces consistent, environment-agnostic module boundaries and resolves cyclic import problems.

The best way to handle TYPE_CHECKING blocks is to promote protocol-first design and strict dependency handling. This approach verifies interfaces and enforces SOLID principles, avoiding runtime masking of missing dependencies and ensuring safer code structures.

Refactoring try-except import blocks involves replacing them with strict, Protocol-based interfaces appropriate for production code. This ensures code adheres to best practices for module dependencies and avoids hiding missing dependencies.

Yes, you can use Python protocols to enforce SOLID principles across module boundaries. The refactoring process promotes protocol-first design and strict dependency handling, verifying interfaces to ensure cleaner, safer code structures.

Hiding dependencies in conditional imports causes runtime errors because environment-dependent imports mask missing dependencies and create cyclic import issues. Strict dependency handling and protocol-based design eliminate this masking for reliable module boundaries.

Yes, refactoring to protocol-based design works for existing Python codebases with local imports. The process identifies conditional import patterns and transforms them into strict, Protocol-based interfaces appropriate for production code.