clean-architecture-python

Structure your Python application into four layers: Presentation, Application, Domain, and Infrastructure, ensuring dependencies point inward toward the domain. This enforces a strict separation of concerns, keeping core business logic framework-agnostic and highly testable.

Isolate business logic by defining domain entities and repository interfaces within the domain layer, keeping them independent of infrastructure choices. This approach facilitates easy unit and integration testing by decoupling core rules from database or framework implementations.

Yes, you can reuse the same domain entities across different presentation layers like a REST API or CLI. Clean architecture ensures core business rules are framework-agnostic, allowing infrastructure and presentation components to interact with the same domain layer.

Layered architecture handles database switching by defining repository interfaces in the domain layer and implementing them separately in the infrastructure layer. This allows you to swap PostgreSQL or MongoDB implementations without altering the application use cases or domain entities.

You need clean architecture when developing scalable microservices or applications requiring high maintainability, testability, and flexibility. It solves the problem of tightly coupled code by enforcing a strict separation of concerns through a layered design pattern.