feat: Add comprehensive Python testing infrastructure with Poetry

[llbbl]

Add Python Testing Infrastructure

Summary

This PR establishes a comprehensive testing infrastructure for the faceswap project using modern Python tooling and best practices.

Changes Made

Package Management

• Poetry Setup: Introduced Poetry as the package manager with pyproject.toml configuration
• Dependency Migration: Migrated existing dependencies from requirements.txt to Poetry format
• Version Flexibility: Made dependency versions more flexible to improve compatibility

Testing Framework

• pytest Configuration:
  • Configured pytest as the primary testing framework
  • Added coverage reporting with pytest-cov
  • Added mocking utilities with pytest-mock
  • Set up custom markers for test categorization (unit, integration, slow)

Testing Infrastructure

• Directory Structure:

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

Pytest Fixtures

Created comprehensive fixtures in conftest.py:

• temp_dir: Temporary directory management
• sample_image: Test image generation
• sample_video: Test video generation
• mock_face_detector: Mocked face detection
• mock_model: Mocked deep learning model
• sample_config: Configuration fixture
• mock_cli_args: Command line arguments mock
• sample_training_data: Training data structure
• capture_output: stdout/stderr capture utility

Configuration

• Coverage Settings:

  • Source directories: lib, plugins, scripts
  • Report formats: terminal, HTML, XML
  • Coverage threshold: Currently 0% (to be increased as tests are added)

• Test Discovery:

  • Test file patterns: test_*.py, *_test.py
  • Automatic test discovery in tests/ directory

Development Commands

• poetry run test - Run all tests
• poetry run tests - Alternative command (both work)
• Standard pytest options are available (e.g., -v, -k, --no-cov)

Additional Setup

• Updated .gitignore with:
  • Python testing artifacts (.pytest_cache/, .coverage, htmlcov/, etc.)
  • Claude-specific directories (.claude/*)
  • Build and virtual environment files
  • IDE-specific files

How to Use

1. Install dependencies:

   poetry install

2. Run tests:

   poetry run test
   # or
   poetry run tests

3. Run specific tests:

   poetry run test tests/test_infrastructure_validation.py -v

4. Run tests without coverage:

   poetry run test --no-cov

5. Run tests with markers:

   poetry run test -m unit
   poetry run test -m "not slow"

Notes

• The infrastructure is ready for developers to start writing tests immediately
• Coverage threshold is set to 0% initially and should be increased as tests are added
• Some fixtures gracefully handle missing system dependencies (e.g., OpenCV)
• The validation test file verifies that all infrastructure components work correctly

Next Steps

1. Write unit tests for individual modules in lib/, plugins/, and scripts/
2. Add integration tests for end-to-end workflows
3. Gradually increase coverage threshold as more tests are added
4. Consider adding additional testing tools (e.g., hypothesis for property-based testing)