bx-python-clean-architecture

Structuring a Python project with ports and adapters involves organizing code around core domain logic while keeping infrastructure separate. This approach enforces strict dependency rules, ensuring inner layers never import outer layers for better testability and maintainability.

Isolating domain logic from infrastructure in Python requires a framework-agnostic, layered architecture. By defining clear ports and adapters, your core business logic remains independent of specific databases or messaging technologies, enabling high testability and seamless technology swapping.

Yes, you can scaffold a domain-driven design in Python 3.10 and keep it framework agnostic. By enforcing strict layered dependency rules and separating ports from adapters, your business logic stays independent of UI, database, or messaging technologies.

Implementing reliability patterns like Unit of Work and Outbox in a layered Python architecture involves defining specific ports for transaction management and messaging. This keeps your domain pure while delegating infrastructure concerns to outer adapters for robust execution.

You should avoid clean architecture for simple, short-lived Python scripts or prototypes where strict dependency rules and layering introduce unnecessary overhead. It is best suited for complex projects requiring long-term maintainability and high testability.