uv-pytest-unit-testing

To set up and run pytest in a uv workspace, use the bootstrap_pytest_uv.sh script for initial configuration, then execute tests with uv run --package <member> for targeted package testing. This standardizes test execution across workspace members.

Standardizing pytest configuration across uv projects is achieved by managing settings through pyproject.toml [tool.pytest.ini_options] and applying layered customization profiles, ensuring consistent test runs and setup via bootstrap_pytest_uv.sh.

Yes, you can generate coverage reports in a uv project by enabling optional pytest-cov integration. Coverage reporting runs alongside standard test execution using uv run, providing metrics directly within your standardized workflow.

Yes, you need uv and pytest installed as dependencies, with rg and pytest-cov as optional requirements. The bootstrap_pytest_uv.sh script configures the baseline environment using these prerequisites to establish your testing setup.

Pytest test discovery for individual packages in a uv workspace works by executing uv run --package <member> to scope test runs. It supports organizing tests with fixtures, markers, and parametrization for targeted execution.

Failing pytest imports when running tests with uv often stem from workspace configuration issues. Troubleshoot discovery and import errors by verifying your pyproject.toml setup and using guided steps to ensure correct package scoping.