feat: Set up complete Python testing infrastructure

[llbbl]

Set up Python Testing Infrastructure

Summary

This PR establishes a complete testing infrastructure for the reinforcement learning algorithms project using Poetry as the package manager and pytest as the testing framework.

Changes Made

Package Management

• ✅ Added Poetry configuration in pyproject.toml with project metadata
• ✅ Migrated from requirements.txt to Poetry dependency management
• ✅ Set Python version requirement to ^3.9 (compatible with project dependencies)

Testing Framework

• ✅ Added pytest with comprehensive configuration:
  • Coverage threshold: 80%
  • HTML, XML, and terminal coverage reports
  • Custom markers: unit, integration, slow
  • Strict configuration and markers enforcement

Testing Dependencies

• ✅ pytest ^7.4.0 - Main testing framework
• ✅ pytest-cov ^4.1.0 - Coverage reporting
• ✅ pytest-mock ^3.11.1 - Mocking utilities

Directory Structure

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

Shared Testing Fixtures

Created comprehensive fixtures in tests/conftest.py for RL-specific testing:

• Environment fixtures: Mock RL environments, observation/action spaces
• Data fixtures: Sample batch data, trajectories, configurations
• Utility fixtures: Temporary directories/files, random seeds
• Size fixtures: Various batch sizes for different test scenarios

Configuration Files

• ✅ Updated .gitignore with testing artifacts, Python build files, IDE files
• ✅ Coverage configuration excludes test files and common non-coverage patterns
• ✅ pytest configuration with proper test discovery and reporting

Validation

• ✅ 19 validation tests verify the entire testing infrastructure
• ✅ All custom markers work correctly
• ✅ All fixtures are properly configured and accessible
• ✅ Coverage reporting generates HTML and XML outputs

How to Run Tests

# 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
poetry run pytest -m integration
poetry run pytest -m slow

# Run tests with coverage report
poetry run pytest --cov

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

Coverage Configuration

• Source directories: algorithms/ and project root
• Coverage threshold: 80% (enforced)
• Reports: Terminal, HTML (htmlcov/), XML (coverage.xml)
• Exclusions: Test files, __pycache__, virtual environments

Next Steps

The testing infrastructure is now ready for developers to:

1. Write unit tests for individual algorithm components
2. Create integration tests for end-to-end workflows
3. Add performance tests for computational components
4. Implement property-based tests for mathematical correctness

Notes

• Poetry lock file is included in the repository for consistent dependencies
• Minimal dependencies currently installed (numpy + testing tools) to avoid complex ML dependencies during setup
• RL-specific fixtures ready for testing gym environments, trajectories, and algorithm components
• Validation tests ensure the infrastructure works correctly

🤖 Generated with Claude Code