feat: Set up comprehensive Python testing infrastructure with Poetry
Set up comprehensive Python testing infrastructure with Poetry
Summary
This PR establishes a complete, production-ready testing infrastructure for the Python project using Poetry as the package manager. The setup provides developers with all necessary tools and configurations to write, execute, and analyze tests effectively.
Changes Made
Package Management
- Migrated from requirements.txt to Poetry: Created comprehensive
pyproject.tomlwith all existing dependencies properly categorized - Set up Poetry as package manager: Installed Poetry 2.1.4 and configured project structure
- Organized dependencies: Separated production dependencies from test dependencies using Poetry groups
Testing Framework Configuration
-
pytest Configuration: Comprehensive pytest settings in
pyproject.tomlincluding:- Test discovery patterns for both
tests/directory and existing*_test.pyfiles insrc/ - Custom markers for
unit,integration, andslowtests - Strict configuration options for better test reliability
- Verbose output formatting
- Test discovery patterns for both
-
Coverage Reporting: Advanced coverage configuration with:
- 80% coverage threshold requirement
- Multiple output formats: HTML (
htmlcov/), XML (coverage.xml), and terminal - Smart exclusion rules for test files, migrations, and boilerplate code
- Detailed missing line reporting
Directory Structure
- Organized test structure: Created
tests/directory with proper subdirectories:tests/unit/- for unit teststests/integration/- for integration tests- Each directory includes proper
__init__.pyfiles
Shared Testing Utilities
- Comprehensive fixtures in
tests/conftest.py:- Temporary file and directory fixtures
- Mock objects for common components (logger, repository, presenter)
- Sample profession data fixtures for testing
- Environment variable management
- Flask app and database session mocks
Development Scripts
- Poetry commands: Set up easy-to-use commands:
poetry run test- Execute all testspoetry run tests- Alternative command (both work identically)- Full pytest command-line compatibility
Project Hygiene
- Enhanced .gitignore: Added comprehensive exclusions for:
- Testing artifacts (
.pytest_cache/,htmlcov/,coverage.xml) - Virtual environments and build artifacts
- IDE and OS-specific files
- Claude Code settings
- Testing artifacts (
Validation
- Infrastructure validation tests: Created
tests/test_infrastructure_validation.pyto verify:- pytest functionality
- Custom fixtures availability
- pytest-mock integration
- Marker functionality
- Coverage reporting
Testing Instructions
Running Tests
# Install dependencies
poetry install
# Run all tests
poetry run pytest
# Run with coverage
poetry run pytest --cov=src
# Run specific test categories
poetry run pytest -m unit
poetry run pytest -m integration
# Run validation tests
poetry run pytest tests/test_infrastructure_validation.py -v
Available Commands
poetry run test- Run tests using Poetry scriptpoetry run tests- Alternative commandpoetry run pytest- Direct pytest execution
Dependencies Added
- Testing frameworks: pytest, pytest-cov, pytest-mock, pytest-flask
- Coverage tools: coverage with HTML/XML reporting
- All existing dependencies: Successfully migrated from requirements.txt
Validation Results
✅ All infrastructure validation tests pass (9/9)
✅ Coverage reports generate successfully in multiple formats
✅ Both poetry run test and poetry run tests commands work
✅ Custom fixtures and markers function properly
✅ Poetry dependencies install and resolve correctly
Notes
- poetry.lock file: Generated and should be committed to ensure consistent dependency versions
- Existing tests: All existing
*_test.pyfiles in thesrc/directory are automatically discovered - Coverage threshold: Set to 80% - can be adjusted in
pyproject.tomlif needed - Backward compatibility: Original
requirements.txtpreserved for reference
The testing infrastructure is now fully operational and ready for development teams to write comprehensive test suites.
🤖 Generated with Claude Code