feat: Set up complete Python testing infrastructure with Poetry

[llbbl]

Set Up Python Testing Infrastructure

Summary

This PR establishes a complete testing infrastructure for the GAN models project using Poetry as the package manager and pytest as the testing framework. The setup provides a solid foundation for developers to immediately start writing unit and integration tests.

Changes Made

Package Management

• Poetry Configuration: Created pyproject.toml with complete Poetry setup
• Dependency Migration: Migrated existing dependencies from requirements.txt to Poetry
• Updated NumPy: Upgraded from numpy 1.14.5 to ^1.21.0 for compatibility

Testing Framework

• pytest: Main testing framework with full configuration
• pytest-cov: Coverage reporting with HTML and XML output formats
• pytest-mock: Mocking utilities for test isolation

Project Structure

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

Testing Configuration

• Test Discovery: Configured to find tests matching test_*.py, *_test.py, or tests.py
• Coverage Settings:
  • Tracks all project modules (models, metrics, utils, etc.)
  • Generates HTML and XML coverage reports
  • Currently set to 0% threshold (update as tests are added)
• Custom Markers:
  • @pytest.mark.unit for unit tests
  • @pytest.mark.integration for integration tests
  • @pytest.mark.slow for long-running tests

Shared Fixtures

Created comprehensive fixtures in conftest.py:

• temp_dir: Temporary directory management
• mock_config: Mock configuration object
• sample_tensor & sample_numpy_array: Test data
• mock_generator & mock_discriminator: Mock models
• mock_data_loader: Mock data loading
• clean_logs: Log directory management
• setup_random_seeds: Reproducible test runs
• Device management fixtures for GPU/CPU testing

Development Commands

• poetry run test: Run all tests
• poetry run tests: Alternative command (both work)
• Standard pytest options are available (e.g., -v, -k, -m)

Instructions for Running Tests

1. Install dependencies:

   poetry install
   

2. Run all tests:

   poetry run test
   

3. Run specific test files:

   poetry run test tests/test_setup_validation.py
   

4. Run tests by marker:

   poetry run test -m unit        # Run only unit tests
   poetry run test -m integration # Run only integration tests
   poetry run test -m "not slow"  # Skip slow tests
   

5. View coverage report:

   # After running tests, open the HTML report
   open htmlcov/index.html
   

Notes

• The testing infrastructure is ready for immediate use
• Coverage threshold is currently set to 0% to allow gradual test addition
• All validation tests pass, confirming the setup works correctly
• The .gitignore has been updated to exclude test artifacts and Claude-specific files
• Poetry lock file is tracked in git for reproducible builds

Next Steps

Developers can now:

1. Write unit tests in tests/unit/
2. Write integration tests in tests/integration/
3. Use the provided fixtures for common testing needs
4. Gradually increase coverage threshold as tests are added