feat: Add comprehensive Python testing infrastructure

[llbbl]

Add Comprehensive Python Testing Infrastructure

Summary

This PR establishes a complete testing infrastructure for the OPUS project, providing developers with a ready-to-use testing environment that follows Python best practices.

Key Components Added:

• Poetry Package Manager: Complete project configuration with dependency management
• pytest Configuration: Comprehensive testing setup with coverage reporting and custom markers
• Testing Directory Structure: Organized tests/ directory with unit/ and integration/ subdirectories
• Shared Fixtures: Extensive collection of reusable test fixtures in conftest.py
• Coverage Reporting: HTML and XML coverage reports with 80% threshold requirement
• Development Tools: Black, isort, flake8, and mypy for code quality

Testing Infrastructure Features:

• Test Discovery: Automatic detection of test_*.py files
• Custom Markers: @pytest.mark.unit, @pytest.mark.integration, @pytest.mark.slow, @pytest.mark.gpu
• Coverage Analysis: Source code coverage with exclusions for test files and CUDA extensions
• Shared Fixtures: Mock models, sample data, temporary directories, camera parameters, LiDAR data
• Validation Tests: Infrastructure verification tests that run without external dependencies

Configuration Files:

• pyproject.toml: Poetry configuration with pytest and coverage settings
• tests/conftest.py: Comprehensive shared fixtures for testing
• tests/README.md: Complete testing documentation and usage instructions
• Updated .gitignore: Testing artifacts and Claude Code settings

Instructions for Running Tests

Option 1: With Poetry (Recommended)

# Install dependencies
poetry install

# Run all tests  
poetry run test
# or
poetry run tests

# Run with coverage
poetry run pytest --cov

Option 2: Basic Validation (No Dependencies Required)

# Run infrastructure validation
python3 tests/test_basic_infrastructure.py

Option 3: With pip

# Create virtual environment and install dependencies
python3 -m venv venv
source venv/bin/activate
pip install pytest pytest-cov pytest-mock torch numpy

# Run tests
pytest

Test Organization

• Unit Tests: Place in tests/unit/ for fast, isolated component tests
• Integration Tests: Place in tests/integration/ for multi-component tests
• Markers: Use @pytest.mark.unit, @pytest.mark.integration, etc. for categorization
• Fixtures: Leverage shared fixtures from conftest.py for common test data

Coverage Requirements

• Minimum 80% code coverage required
• HTML reports generated in htmlcov/
• XML reports generated as coverage.xml
• Excludes test files, CUDA extensions, and build artifacts

Development Dependencies

The testing infrastructure includes development tools:

• pytest: Main testing framework
• pytest-cov: Coverage reporting
• pytest-mock: Enhanced mocking capabilities
• black, isort: Code formatting
• flake8: Linting
• mypy: Type checking

Notes

• Poetry configuration is optimized for the OPUS project dependencies
• Testing works with or without ML dependencies installed
• Infrastructure validated on Python 3.8+
• Lock files excluded from .gitignore as intended

This infrastructure provides a solid foundation for test-driven development and ensures code quality for the OPUS occupancy prediction project.

🤖 Generated with Claude Code