Configure pytest testing patterns for layered op-django projects.
npx skills add https://github.com/dvf/opinionated-django --skill dj-pytest
Please help me install this Agent Skill. Skill: dj-pytest Source: https://github.com/dvf/opinionated-django/tree/main/skills/dj-pytest Command: npx skills add https://github.com/dvf/opinionated-django --skill dj-pytest
This Skill eliminates the guesswork and inconsistency of setting up pytest test suites for op-django projects, which use a strict layered architecture with clear boundaries between API, service, repository, and model layers.
Use the dj-pytest skill to configure pytest for your op-django project and write a passing service test for a new business logic feature with mocked repository dependencies.
High-intent search queries and answers about installing and using this skill.
Configure pytest for layered Django projects by enforcing separate test files for repository, service, and API layers. This approach uses prebuilt conftest fixtures and pytest-django configuration to maintain strict boundaries and keep test suites fast and maintainable.
Testing Celery signal receivers in Django requires idempotency checks for at-least-once signal delivery. You can configure Celery eager mode alongside freezegun to reliably verify that signal receivers execute correctly without duplicate side effects.
Write service tests in Django without hitting the database by mocking repository dependencies with prebuilt conftest fixtures. This isolates business logic validation from the database layer, ensuring service tests run instantly and remain completely fast.
Yes, pytest-django works with freezegun for time-dependent tests. The test infrastructure setup includes complete pytest configuration that integrates freezegun and Celery eager mode to reliably freeze time during signal receiver and service testing.
Separating repository and service tests in a Django architecture enforces strict layer boundaries. Repository tests run slowly against a real database, while service tests mock repos to run fast, ensuring test suites remain maintainable and accurately reflect architectural dependencies.
Override Django service dependencies in pytest fixtures using shared conftest configurations for service overrides. This provides standardized mock repositories and DTOs, allowing you to isolate and test specific service behaviors without triggering downstream database operations.
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