Automate pytest runs, coverage collection, and schema validation for capsem-builder.
npx skills add https://github.com/google/capsem --skill dev-testing-python
Please help me install this Agent Skill. Skill: dev-testing-python Source: https://github.com/google/capsem/tree/main/skills/dev-testing-python Command: npx skills add https://github.com/google/capsem --skill dev-testing-python
Python test infrastructure for the capsem-builder package. It enables reliable test execution, coverage verification, debugging test failures, working with golden fixtures, and generating schemas across the Capsem toolchain.
Run pytest to execute the Python test suite and verify coverage for capsem-builder.
High-intent search queries and answers about installing and using this skill.
Automating pytest execution and collecting coverage data requires configuring a pyproject.toml to run tests, enforce configurable coverage floors, and generate reports for the Python codebase.
Golden fixtures management in Python testing involves maintaining stable reference files to validate test outputs, supporting reliable regression checks and stable releases across the toolchain.
Cross-language conformance tests can be run using pytest to validate behavior between different language implementations within the toolchain, executed either locally or in-VM.
A schema generation pipeline in Python test infrastructure automates the creation and validation of schemas, ensuring data formats remain consistent and conformant across components during testing.
Pytest coverage enforcement relies on a configured pyproject.toml file to set up test execution, define coverage floors, and apply rules across unit and integration test suites.
Debugging Python test failures locally involves running the pytest suite to isolate failing components, reviewing coverage gaps, and validating schemas against golden fixtures.
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