Provide structured pytest fixtures, mocking, and parametrization patterns for Python tests.
npx skills add https://github.com/mrp4sten/.dotfiles --skill pytest-mrp4sten
Please help me install this Agent Skill. Skill: pytest Source: https://github.com/mrp4sten/.dotfiles/tree/main/development/IA/opencode/skill/pytest Command: npx skills add https://github.com/mrp4sten/.dotfiles --skill pytest-mrp4sten
Pytest testing patterns for Python help developers write reliable, readable tests and catch regressions early by showcasing best practices for fixtures, mocking, and test organization.
Install and apply pytest patterns in your project to begin writing robust tests immediately.
High-intent search queries and answers about installing and using this skill.
Pytest fixtures provide a structured way to manage test setup and teardown, reducing duplication in Python unit tests. By defining reusable setup code in functions or conftest.py files, you can inject dependencies across multiple test cases to increase coverage.
Mocking and monkeypatching in pytest isolate units by replacing external dependencies with controlled test doubles. This pattern allows you to test specific components without triggering side effects from external services or complex internal modules.
Parametrizing tests in pytest allows you to run the same test function against multiple sets of arguments. By applying the parametrize marker, you can increase test coverage efficiently and reduce duplicate test code across your Python project.
Yes, pytest markers support test organization strategies for CI pipelines and large codebases. You can apply custom labels to tests, allowing you to selectively run or skip specific test groups during continuous integration workflows.
Conftest usage centralizes fixture definitions and shared hook logic across Python projects. By placing a conftest.py file in your test directory, pytest automatically discovers and applies these shared patterns to relevant test modules without explicit imports.
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