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@llbbl llbbl commented Sep 3, 2025

Python Testing Infrastructure Setup

Summary

This PR sets up a comprehensive testing infrastructure for the Python video converter project, providing a complete testing environment ready for development.

Changes Made

🔧 Package Management

  • Added Poetry as the package manager with pyproject.toml configuration
  • Migrated all dependencies from requirements.txt to Poetry format
  • Preserved exact version pins for production dependencies
  • Added development/test dependencies in separate Poetry group

🧪 Testing Framework

  • Configured pytest as the main testing framework
  • Added testing dependencies:
    • pytest - Main testing framework
    • pytest-cov - Coverage reporting with 80% threshold
    • pytest-mock - Advanced mocking utilities
  • Custom pytest markers: @pytest.mark.unit, @pytest.mark.integration, @pytest.mark.slow

📊 Coverage Reporting

  • HTML reports generated in htmlcov/ directory
  • XML reports for CI/CD integration (coverage.xml)
  • Terminal output with missing line indicators
  • 80% coverage threshold enforcement
  • Source filtering to focus on video_converter/ package

📁 Directory Structure

tests/
├── __init__.py
├── conftest.py              # Shared fixtures
├── test_setup_validation.py # Validation tests
├── unit/
│   └── __init__.py
└── integration/
    └── __init__.py

🛠️ Fixtures & Utilities

  • conftest.py with comprehensive shared fixtures:
    • temp_dir - Temporary directory management
    • sample_audio_file / sample_video_file - Mock file creation
    • mock_logger - Logger mocking
    • mock_config - Configuration mocking
    • mock_pydub_audio - Audio processing mocks
    • mock_speech_recognition - Speech recognition mocks

📋 Configuration

  • pytest configuration in pyproject.toml with:
    • Test discovery patterns
    • Coverage settings and thresholds
    • Output formatting options
    • Strict marker and config validation
  • Coverage exclusions for test files, cache, and common patterns

🗂️ Maintenance

  • Updated .gitignore with:
    • Testing artifacts (.pytest_cache/, .coverage, htmlcov/)
    • Claude Code settings (.claude/)
    • Build artifacts and environment files
  • Validation tests to ensure infrastructure works correctly

Running Tests

# Run all tests with coverage
poetry run pytest

# Run only unit tests
poetry run pytest -m unit

# Run only integration tests  
poetry run pytest -m integration

# Run without coverage
poetry run pytest --no-cov

# Run specific test file
poetry run pytest tests/test_setup_validation.py

# Run with verbose output
poetry run pytest -v

Validation

✅ All validation tests passing (10/10)
✅ Coverage reporting working (HTML, XML, terminal)
✅ Poetry dependency installation successful
✅ Test markers functioning correctly
✅ Fixture system operational
✅ Directory structure created

Next Steps

The testing infrastructure is now ready for development. Developers can:

  1. Start writing unit tests in tests/unit/
  2. Add integration tests in tests/integration/
  3. Use provided fixtures from conftest.py
  4. Run tests locally with poetry run pytest
  5. Monitor coverage to maintain 80% threshold

Notes

  • Poetry lock file included but not in .gitignore as requested
  • Exact dependency versions preserved from original requirements.txt
  • Testing dependencies isolated in development group
  • No actual unit tests written - only infrastructure and validation setup
  • Coverage threshold set to 80% - will fail until actual tests are written

🤖 Generated with Claude Code

- Add Poetry package manager with pyproject.toml configuration
- Migrate dependencies from requirements.txt to Poetry
- Configure pytest with coverage reporting (80% threshold)
- Add pytest-cov and pytest-mock testing dependencies
- Create tests/ directory structure with unit/integration subdirs
- Set up comprehensive conftest.py with common fixtures
- Add validation tests to verify testing infrastructure works
- Configure coverage reporting (HTML, XML, terminal)
- Update .gitignore with testing and build artifacts
- Add custom pytest markers (unit, integration, slow)
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