arch-check

To check clean architecture compliance in a Python codebase, you can automatically validate dependency directions to ensure core layers do not depend on infra or utils, verify interface implementations, and detect cyclic dependencies between modules.

Validating dependency directions ensures core layers remain isolated from infra and utils. You can detect these violations by running an automated analysis that checks if your core modules improperly import outer layer components.

Detecting cyclic dependencies in a Python project requires analyzing module imports to identify and report circular references. This validation prevents tangled architecture and maintains a maintainable codebase structure.

You can verify backtest logic reusability by checking that backtesting components reuse core logic without leaking backtest-specific code into the core layer, ensuring separation of concerns across the analyzed directories.

Clean architecture validation supports analysis of src/core, src/infra, src/utils, and src/backtest directories. It checks interface implementation across these layers to ensure correct architectural boundaries and dependency flows.