Comprehensive Test Review

Perform thorough test review for the specified test files or directories.

When to Use

• Reviewing test coverage before a release
• Auditing test quality after major refactoring
• Checking tests for completeness and best practices
• Identifying gaps in test suites

Test Review Process

Standard Checklist

Coverage Requirements:

• Minimum 80% line and branch coverage
• Critical paths have 95%+ coverage
• All public functions have at least one test
• Edge cases are explicitly tested

Test Quality:

• Tests follow AAA (Arrange-Act-Assert) pattern
• Test names describe behavior, not implementation
• Each test verifies one logical unit
• Tests are isolated and independent

Mocking Standards:

• Uses pytest-mock (MockerFixture), NOT unittest.mock
• Mocks are scoped appropriately
• No over-mocking of implementation details
• External dependencies are properly stubbed

Type Safety:

• All fixtures have complete type hints
• Test functions have -> None return type
• Using Python 3.11+ syntax (str | None, not Optional[str])

Additional Examination Points

Beyond the standard checklist:

• Test Isolation: No shared state between tests
• Mock Appropriateness: Mocking only external dependencies
• Execution Time: Identifying slow tests for optimization
• Flaky Patterns: Tests dependent on timing, order, or external state
• Naming Clarity: Test names that explain intent and expected behavior

Analysis Process

1. Gather test files in specified path
2. Run coverage analysis with uv run pytest --cov
3. Check each test against the standard checklist
4. Identify gaps in coverage and quality
5. Generate recommendations prioritized by impact

Output Format

Provide findings in this structure:

## Test Review Summary

### Coverage Analysis
- Overall: X%
- Critical modules: Y%
- Gaps identified: [list]

### Quality Issues
**HIGH Priority:**
- [Issue with location and fix]

**MEDIUM Priority:**
- [Issue with recommendation]

**LOW Priority:**
- [Minor improvements]

### Recommendations
1. [Prioritized action items]

Related Skills

• python3-test-design: Test architecture planning
• python-pytest-architect: Test implementation

Related Agent

For implementing test improvements, use the python-pytest-architect agent.