feat: Set up comprehensive Python testing infrastructure

[llbbl]

Python Testing Infrastructure Setup

Summary

This PR establishes a comprehensive testing infrastructure for the DINE domain adaptation project using Poetry as the package manager and pytest as the testing framework.

Changes Made

Package Management

• Poetry Configuration: Created pyproject.toml with Poetry configuration
• Dependencies: Added core dependencies (PyTorch, NumPy, SciPy, scikit-learn, tqdm)
• Dev Dependencies: Added testing tools (pytest, pytest-cov, pytest-mock)

Testing Framework

• Directory Structure:

  tests/
  ├── __init__.py
  ├── conftest.py
  ├── test_infrastructure.py
  ├── unit/
  │   └── __init__.py
  └── integration/
      └── __init__.py
  

• Configuration: Comprehensive pytest configuration in pyproject.toml including:

  • Test discovery patterns
  • Coverage settings (80% threshold, HTML/XML reports)
  • Custom markers (unit, integration, slow)
  • Strict mode for markers and configuration

Coverage Reporting

• Reports: HTML, XML, and terminal coverage reports
• Threshold: 80% minimum coverage requirement
• Exclusions: Proper exclusions for test files and boilerplate code

Fixtures and Utilities

• Comprehensive fixtures in conftest.py:
  • temp_dir: Temporary directory management
  • sample_config: Mock configuration dictionaries
  • mock_args: Command line argument mocks
  • sample_tensor, sample_labels: PyTorch test data
  • mock_dataloader, mock_model: PyTorch component mocks
  • setup_test_environment: Complete test environment setup
  • set_deterministic_behavior: Reproducible test behavior

Validation

• Infrastructure tests: Created test_infrastructure.py to validate:
  • All dependencies are correctly installed
  • Custom fixtures work properly
  • Project structure is correct
  • Deterministic behavior is enforced
  • Custom markers function correctly

Running Tests

After this PR is merged, you can run tests using any of these commands:

# Install dependencies
poetry install

# Run all tests
poetry run pytest

# Run with verbose output
poetry run pytest -v

# Run specific test types
poetry run pytest -m unit          # Unit tests only
poetry run pytest -m integration   # Integration tests only
poetry run pytest -m "not slow"    # Skip slow tests

# Run with coverage
poetry run pytest --cov=. --cov-report=html

# Alternative commands
poetry run test     # Shortcut for pytest
poetry run tests    # Alternative shortcut

Coverage Reports

The setup generates multiple coverage report formats:

• Terminal: Shows missing line numbers during test runs
• HTML: Available in htmlcov/ directory for detailed browsing
• XML: Generated as coverage.xml for CI/CD integration

Notes

• Poetry Scripts: Both poetry run test and poetry run tests are available as shortcuts
• Deterministic Testing: All tests run with fixed random seeds for reproducibility
• Comprehensive Fixtures: Ready-to-use fixtures for common testing scenarios
• Ready for CI/CD: Configuration is optimized for continuous integration environments

Testing the Setup

The infrastructure has been validated with a comprehensive test suite that verifies:

• ✅ All dependencies are available and working
• ✅ PyTorch, NumPy, SciPy, scikit-learn integration
• ✅ Custom fixtures functionality
• ✅ Project structure integrity
• ✅ Marker system operation
• ✅ Deterministic behavior enforcement

This testing infrastructure provides a solid foundation for implementing comprehensive test coverage across the DINE project.