feat: Set up comprehensive Python testing infrastructure with Poetry

[llbbl]

Python Testing Infrastructure Setup

Summary

This PR establishes a complete testing infrastructure for the Python project using Poetry as the package manager and pytest as the testing framework. The setup provides a ready-to-use testing environment with comprehensive configuration, shared fixtures, and validation tests.

Changes Made

Package Management

• ✅ Detected and utilized existing Poetry configuration
• ✅ Added testing dependencies as development dependencies
• ✅ Updated pyproject.toml with full testing configuration

Testing Dependencies Added

• pytest ^8.3.0 - Core testing framework
• pytest-cov ^5.0.0 - Coverage reporting plugin
• pytest-mock ^3.14.0 - Mocking utilities

Testing Configuration (pyproject.toml)

• Test Discovery: Configured patterns for finding test files and functions
• Coverage Settings:
  • 80% coverage threshold enforced
  • Multiple report formats (terminal, HTML, XML)
  • Comprehensive exclusion patterns for non-testable code
• Custom Markers: Added unit, integration, and slow markers for test categorization
• Strict Mode: Enabled strict configuration and markers

Directory Structure Created

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

Shared Fixtures (conftest.py)

Created 15+ reusable fixtures including:

• temp_dir - Temporary directory management
• temp_file - Temporary file creation
• mock_config - Configuration data for testing
• mock_env_vars - Environment variable mocking
• mock_logger - Logger mocking
• sample_data - Test data sets
• mock_database - Database connection mocking
• mock_api_client - API client mocking
• mock_file_system - File system structure mocking
• capture_stdout - Output capture
• mock_datetime - Time-based testing
• benchmark_timer - Performance testing
• And more...

Validation Tests

Created comprehensive validation test suite (test_infrastructure_validation.py) with 34 tests covering:

• Dependency installation verification
• Directory structure validation
• Fixture functionality testing
• Marker application testing
• Coverage configuration validation
• Mocking capability testing
• Parametrization testing
• Exception handling testing

Additional Setup

• Updated .gitignore with comprehensive Python testing patterns
• Added Claude-specific .claude/ to gitignore
• Configured Poetry lock file management

How to Use

Running Tests

# Run all tests
poetry run pytest

# Run with verbose output
poetry run pytest -v

# Run specific test file
poetry run pytest tests/test_infrastructure_validation.py

# Run tests by marker
poetry run pytest -m unit
poetry run pytest -m integration
poetry run pytest -m "not slow"

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

Installing Dependencies

# Install all dependencies including dev dependencies
poetry install

# Update dependencies
poetry update

Writing New Tests

1. Create test files in tests/unit/ or tests/integration/
2. Use fixtures from conftest.py for common test needs
3. Apply appropriate markers (@pytest.mark.unit, etc.)
4. Follow the naming convention: test_*.py for files, test_* for functions

Validation Results

All 34 validation tests pass successfully, confirming:

• ✅ All dependencies installed correctly
• ✅ Test discovery working
• ✅ Fixtures functioning properly
• ✅ Markers applied correctly
• ✅ Mocking capabilities working
• ✅ Parametrization functioning
• ✅ Exception testing working

Notes

• The project uses Poetry for dependency management (existing configuration detected and preserved)
• Python 3.11+ is required (as specified in existing configuration)
• Coverage warnings for empty projects are suppressed in the configuration
• The testing infrastructure is ready for immediate use - developers can start writing tests right away

Next Steps

Developers can now:

1. Write unit tests in tests/unit/
2. Write integration tests in tests/integration/
3. Utilize the comprehensive fixture library in conftest.py
4. Run tests with coverage reporting to track code coverage metrics