Refactor Python test suites using pytest.mark.parametrize and modularization.
npx skills add https://github.com/fruch/coodie --skill test-refactoring
Please help me install this Agent Skill. Skill: test-refactoring Source: https://github.com/fruch/coodie/tree/main/.github/skills/test-refactoring Command: npx skills add https://github.com/fruch/coodie --skill test-refactoring
This Skill addresses the challenges of overly large, duplicated, and hard-to-maintain Python test suites, making them more readable, efficient, and easier to manage.
pytest.mark.parametrize._maybe_await.Use the test-refactoring skill to refactor the file 'tests/test_cql_builder.py' by applying parametrization patterns.
High-intent search queries and answers about installing and using this skill.
You can reduce duplication in Python pytest test suites by consolidating repetitive test functions into single tests using pytest.mark.parametrize, and merging mirrored sync and async test classes with helpers like _maybe_await.
The best way to split a monolithic Python test file is modularization, which involves dividing large test files into smaller, focused modules based on distinct feature areas to improve maintainability.
Yes, you can combine sync and async test cases in pytest by deduplicating mirrored test classes into a single test function using specific helper functions like _maybe_await.
pytest.mark.parametrize helps with test refactoring by allowing you to parametrize tests, which consolidates multiple repetitive, copy-pasted test functions into a single, maintainable test structure.
You should refactor large Python test files when they become overly large, duplicated, and hard to maintain, such as when a file exceeds 700 lines with many copy-pasted test functions.
When using pytest parametrization for deduplication, you must adhere to specific refactoring principles and workflows to ensure effective implementation and maintain readability across split modules.
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