creating-services

Structure Python service classes by adopting the Service Layer pattern to separate business logic, enforcing constructor-based dependency injection and organizing methods to coordinate domain models without leaking infrastructure concerns.

Core services contain focused business logic and domain coordination, whereas Composite services orchestrate workflows by combining Core services without leaking infrastructure concerns, ensuring clean architectural layering.

Apply dependency injection in Python services by defining all required dependencies, such as repositories, explicitly via the class constructor, which discourages internal environment reads and produces testable service boundaries.

Refactor business logic into a Python service layer when you need to turn business rules into coordinated operations, separating domain models from infrastructure to enforce consistent method organization and clean testing boundaries.

Python service layer architecture demonstrated here focuses on domain modeling and composite service separation without requiring specific external frameworks, relying solely on standard Python class structures and constructor dependency injection.

Services should avoid reading environment variables directly to maintain clean separation of concerns, ensuring infrastructure dependencies are explicitly injected via the constructor for consistent testing boundaries and predictable service behavior.