--- name: uv-pytest-unit-testing description: Set up and run unit tests for Python uv projects and uv workspaces with pytest. Use when creating or updating pytest configuration in pyproject.toml, installing pytest dev dependencies with uv, running tests in a workspace member package via `uv run --package`, customizing pytest workflow defaults through layered YAML profiles, organizing tests with fixtures/markers/parametrize, or troubleshooting test discovery and import failures. --- # Uv Pytest Unit Testing ## Overview Use this skill to standardize pytest setup and execution for uv-managed Python repositories, including single-project repos and uv workspaces. ## Workflow 1. Detect repository mode. - Treat repo as workspace when `pyproject.toml` defines `[tool.uv.workspace]`. - Treat repo as single project otherwise. 2. Bootstrap pytest dependencies and baseline config. - Run `scripts/bootstrap_pytest_uv.sh --workspace-root `. - Add `--package ` for workspace member package setup. - Add `--with-cov` when `pytest-cov` should be installed and baseline coverage flags added. - Add `--dry-run` to preview all actions without mutating files. 3. Run tests with uv. - Run `scripts/run_pytest_uv.sh --workspace-root ` for root-project execution. - Run `scripts/run_pytest_uv.sh --workspace-root --package ` for workspace member execution. - Pass through pytest selectors/options after `--`, for example: - `scripts/run_pytest_uv.sh --workspace-root -- --maxfail=1 -q` - `scripts/run_pytest_uv.sh --workspace-root --package api --path tests/unit -- -k auth -m "not slow"` 4. Apply balanced quality gates. - Require passing test runs before concluding work. - Recommend coverage reporting as guidance, not a hard threshold, unless user explicitly requests enforced minimum coverage. 5. Troubleshoot failures in this order. - Confirm command context: root vs `--package` run target. - Confirm test discovery layout: `tests/`, `test_*.py`, `*_test.py`. - Confirm marker registration in `tool.pytest.ini_options.markers` when custom markers are used. - Confirm import path assumptions (package install mode, working directory, and module names). ## Test Authoring Guidance - Keep fast unit tests under `tests/unit` and integration-heavy tests under `tests/integration` when repo size warrants separation. - Use fixtures for setup reuse, and keep fixture scope minimal (`function` by default). - Use `@pytest.mark.parametrize` for matrix-style cases instead of hand-written loops. - Use `monkeypatch` for environment variables and runtime dependency replacement. - Register custom marks in config to avoid marker warnings. ## Automation Suitability - Codex App automation: High. Strong recurring fit for test health checks, failure triage, and drift detection. - Codex CLI automation: High. Strong fit for non-interactive test setup and targeted test sweeps. ## Codex App Automation Prompt Template ```markdown Use $uv-pytest-unit-testing. Scope boundaries: - Work only inside . - Operate only on pytest setup and test execution tasks. - Do not perform unrelated code refactors. Task: 1. Detect repository mode from /pyproject.toml. 2. If is TRUE, run: `scripts/bootstrap_pytest_uv.sh --workspace-root --dry-run` 3. If is FALSE, run: `scripts/bootstrap_pytest_uv.sh --workspace-root ` 4. Run tests with: `scripts/run_pytest_uv.sh --workspace-root -- ` 5. Keep package-targeted runs explicit when is set. Output contract: 1. STATUS: PASS or FAIL 2. SETUP: what bootstrap actions ran 3. TEST_RESULTS: concise pass/fail summary 4. FAILURES: grouped likely causes 5. NEXT_STEPS: minimal remediation actions ``` ## Codex CLI Automation Prompt Template ```bash codex exec --full-auto --sandbox workspace-write --cd "" "" ``` `` template: ```markdown Use $uv-pytest-unit-testing. Limit scope to pytest setup and execution in . Run bootstrap in dry-run or real mode based on . Run tests with explicit package targeting when is set. Return STATUS, setup actions, concise test summary, grouped likely causes for failures, and minimal next steps. ``` ## Customization Placeholders - `` - `` - `` - `` - `` - `` - `` - `` - `` ## Interactive Customization Workflow 1. Ask whether users want bootstrap mode or run mode. 2. Gather workspace root and optional package target. 3. For bootstrap mode, gather `with_cov` and `dry_run`. 4. For run mode, gather optional test path and optional pytest args. 5. Return both: - A YAML profile for durable reuse. - The exact command to run. 6. Use this precedence order: - CLI flags - `--config` profile file - `.codex/profiles/uv-pytest-unit-testing/customization.yaml` - `~/.config/gaelic-ghost/python-skills/uv-pytest-unit-testing/customization.yaml` - Script defaults 7. If users want temporary reset behavior: - `--bypassing-all-profiles` - `--bypassing-repo-profile` - `--deleting-repo-profile` 8. If users provide no customization or profile files, keep existing script defaults unchanged. 9. See [`references/interactive-customization.md`](references/interactive-customization.md) for schema and examples. ## References - Use [`references/pytest-workflow.md`](references/pytest-workflow.md) for pytest conventions, config keys, fixtures, markers, and troubleshooting. - Use [`references/uv-workspace-testing.md`](references/uv-workspace-testing.md) for uv workspace execution patterns (`uv run`, `uv run --package`, package-targeted test runs). ## Resources ### scripts/ - `scripts/bootstrap_pytest_uv.sh`: Install pytest dev dependencies and append baseline `tool.pytest.ini_options` when missing. - `scripts/run_pytest_uv.sh`: Run pytest via uv for root project or workspace member package, with passthrough args. ### references/ - `references/pytest-workflow.md`: Practical pytest setup and usage guidance. - `references/uv-workspace-testing.md`: uv execution guidance for single-project and workspace repositories.