feat: Set up comprehensive Python testing infrastructure

[llbbl]

Set up Python Testing Infrastructure

Summary

This PR establishes a comprehensive testing infrastructure for the TRANSIC project using Poetry and pytest. The setup provides a complete foundation for writing and running tests with proper coverage reporting and CI/CD integration capabilities.

Key Changes Made:

• Package Management: Configured Poetry as the package manager with pyproject.toml
• Dependency Migration: Migrated all dependencies from requirements.txt and setup.py to Poetry format
• Testing Framework: Added pytest with coverage reporting (pytest-cov) and mocking utilities (pytest-mock)
• Test Configuration: Comprehensive pytest configuration with custom markers and 80% coverage threshold
• Directory Structure: Created organized tests/ directory with unit/ and integration/ subdirectories
• Shared Fixtures: Extensive set of reusable fixtures in conftest.py for common testing scenarios
• Coverage Reporting: HTML and XML coverage reports with configurable exclusions
• CI/CD Ready: All necessary configuration for automated testing workflows

Testing Infrastructure Components Added

Configuration Files

• pyproject.toml - Complete Poetry and pytest configuration
• Updated .gitignore - Testing artifacts and coverage reports excluded

Directory Structure

tests/
├── __init__.py
├── conftest.py           # Shared fixtures and test configuration
├── unit/                 # Unit tests directory
│   └── __init__.py
├── integration/          # Integration tests directory  
│   └── __init__.py
└── test_infrastructure_validation.py  # Validation tests

Test Markers

• @pytest.mark.unit - For unit tests
• @pytest.mark.integration - For integration tests
• @pytest.mark.slow - For slow-running tests

Shared Fixtures Available

• temp_dir, temp_file - Temporary file system fixtures
• mock_config, sample_config_dict - Configuration mocking
• sample_tensor, sample_numpy_array - Data fixtures for ML testing
• mock_env, mock_policy - RL environment and policy mocking
• mock_dataset, mock_dataloader - Data loading fixtures
• sample_pointcloud, sample_trajectory - Domain-specific test data
• mock_lightning_module - PyTorch Lightning testing support

Running Tests

Basic Commands

# Install dependencies
poetry install

# Run all tests
poetry run pytest

# Run with verbose output
poetry run pytest -v

# Run only unit tests
poetry run pytest -m "unit"

# Run excluding slow tests
poetry run pytest -m "not slow"

# Generate coverage report
poetry run pytest --cov=transic --cov-report=html

Coverage Reports

• Terminal: Coverage summary displayed after test run
• HTML: Detailed coverage report in htmlcov/ directory
• XML: Machine-readable report in coverage.xml

Dependencies and Compatibility

Key Dependencies Added

• pytest ^7.4.0 - Main testing framework
• pytest-cov ^4.1.0 - Coverage reporting
• pytest-mock ^3.11.1 - Enhanced mocking capabilities

Python Version Compatibility

• Supports Python >=3.8,<4.0
• Special handling for rl-games dependency (requires Python <3.11)

Validation

All tests pass successfully:

• ✅ 13 validation tests confirm infrastructure is working
• ✅ All fixtures and markers functioning correctly
• ✅ Coverage reporting operational
• ✅ Test discovery and execution working
• ✅ Mock dependencies properly configured

Next Steps

Developers can now:

1. Write unit tests in tests/unit/
2. Write integration tests in tests/integration/
3. Use shared fixtures from conftest.py
4. Run tests locally with poetry run pytest
5. Generate coverage reports to identify untested code
6. Set up CI/CD workflows using the pytest configuration

🤖 Generated with Claude Code