test-coverage

Generate comprehensive test suites for Scrapy spiders by creating unit, integration, and contract tests using pytest with structured fixtures and mocks. The Skill guides you through spider, pipeline, and middleware testing with realistic data, fixture-driven workflows, and coverage reporting to validate behavior reliably.

Set up test fixtures and mocking by configuring pytest.ini and Scrapy test settings to enable repeatable, scalable testing. Structured fixtures isolate spider, pipeline, and middleware components while mocks simulate external dependencies, ensuring reliable unit and integration tests across your Scrapy project.

Achieve high test coverage for Scrapy pipelines and middlewares by writing unit and integration tests that exercise all component paths using pytest and fixtures. Coverage reporting guidance helps you identify gaps and reach desired thresholds across spider, pipeline, and middleware logic.

Yes, pytest configuration (pytest.ini) and Scrapy test settings are required to enable repeatable, scalable testing. These prerequisites establish the test environment, fixture discovery, and coverage reporting needed for unit, integration, and contract tests across spiders, pipelines, and middlewares.

Unit tests verify individual spider, pipeline, or middleware functions in isolation; integration tests validate component interactions; contract tests ensure Scrapy component contracts are met. This Skill covers all three types using pytest fixtures and mocking to achieve comprehensive coverage aligned with Scrapy best practices.

Yes, this Skill generates test suites for spiders, pipelines, and middlewares together. Fixture-driven workflows and mocking support testing custom middlewares alongside spiders and pipelines, with realistic data and coverage reporting to validate all component interactions.