specx-add-core-service

You create a focused core service in Specx by following naming conventions like using the 'Service' suffix and selecting an appropriate base class. This encapsulates business logic with clear boundaries to enhance maintainability.

You handle dependency injection in Specx by injecting dependencies and ports for external IO, framework-bound dependencies, or multiple real implementations. This approach maintains clear service boundaries and decoupled logic.

You write unit tests for Specx core services using pytest by leveraging container fixtures and resolving services programmatically. This allows you to isolate business logic and verify behavior without external dependencies.

Yes, you need Python programming knowledge to create Specx core services. The framework requires Python expertise to implement service naming conventions, dependency injection, and unit testing guidelines effectively.

The best way to name core services in Specx is by using the 'Service' suffix and choosing appropriate base classes. This standardizes your architecture and clearly communicates the service's role within its specific scope.