python-clean-architecture

To separate business logic from infrastructure in Python services, apply clean architecture boundaries using domain, infrastructure, and API layers. This structure isolates domain models and keeps framework-specific code independent, improving testability and maintainability.

The best way to structure Python projects for testable domain models is using a clean architecture layout with domain/, infrastructure/, and api/ directories. Wiring dependencies via constructors enforces clear boundaries and enables safe unit testing.

Mixing framework code with domain logic makes Python services hard to test because business rules become tightly coupled to infrastructure. Applying dependency injection and the repository pattern separates these concerns, allowing domain models to be tested independently.

Yes, you can use dependency injection with the repository pattern in Python clean architecture. Wiring dependencies via constructors creates a framework-agnostic service structure that enforces domain-driven design boundaries and makes refactoring safer.

Clean architecture works for Python projects of any size, including small services. It applies domain-driven design concepts and dependency injection to maintain clear boundaries between layers, ensuring your project scales neatly without tangled infrastructure concerns.

You should not use clean architecture for Python applications when minimal complexity does not justify the overhead of separating domain, infrastructure, and API layers. For simple scripts or rapid prototypes, enforcing the repository pattern and dependency injection may add unnecessary structural boilerplate.