testing

Unit testing with pytest automates checks on individual code components using fixtures and mocks to isolate behavior. Write test functions in a tests/ directory, run pytest tests/ to execute them, and generate a coverage report to track how much code is validated. This catches regressions before they reach production.

Yes, pytest supports async testing with AsyncMock and patch decorators for mocking dependencies. Fixtures manage setup and teardown for test isolation. This pattern lets you test asynchronous functions reliably without external service calls or database access.

Combine unit tests for individual functions, integration tests across APIs and databases, and E2E tests with Cypress for user workflows. Track coverage metrics toward a 95% target and generate actionable reports showing gaps. This multi-layer approach catches issues at each tier of your application.

Integration tests exercise multiple system components—APIs, data stores, and business logic—in concert. Use pytest with fixtures to set up test data and mock external dependencies. Run these tests after unit tests to verify components interact correctly before E2E validation.

Yes, Cypress-based E2E tests validate complete user workflows through your application UI and backend. These tests run after unit and integration tests to confirm the full stack works as users expect. Coverage reports show which critical paths are validated.

Pytest conventions allow fixtures and mocks to live in conftest.py for reuse across test modules, or inline within test files for isolated scenarios. Follow your project structure conventions to keep test organization consistent and maintenance straightforward.