feat: Set up comprehensive Python testing infrastructure with Poetry

[llbbl]

Python Testing Infrastructure Setup

Summary

This PR establishes a comprehensive 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 environment where developers can immediately start writing unit and integration tests.

Changes Made

Package Management

• Poetry Configuration: Set up Poetry as the primary package manager
• Dependency Migration: Migrated all existing dependencies from requirements.txt to pyproject.toml
• Removed argparse: Removed the redundant argparse package (built into Python)

Testing Framework

• pytest: Added as the main testing framework (v7.4.0)
• pytest-cov: Added for coverage reporting (v4.1.0)
• pytest-mock: Added for mocking utilities (v3.11.0)
• Development Tools: Added black, isort, flake8, and mypy for code quality

Configuration (pyproject.toml)

• pytest Settings:

  • Configured test discovery patterns
  • Set up strict markers (unit, integration, slow)
  • Configured verbose output with local variables
  • Added comprehensive error filtering

• Coverage Settings:

  • 80% coverage threshold requirement
  • HTML, XML, and terminal reporting
  • Proper source directory configuration
  • Exclusion patterns for test files and virtual environments

Directory Structure

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 comprehensive fixtures for common testing patterns:

• temp_dir and temp_file: Temporary file/directory management
• mock_config: Mock configuration dictionary
• mock_api_response: Mock API response data
• mock_database_connection: Mock database operations
• mock_http_client: Mock HTTP client for API testing
• sample_json_file: Sample JSON data for testing
• mock_logger: Mock logging functionality
• environment_variables: Test environment variable management
• mock_celery_task: Mock Celery task operations
• mock_flask_app: Mock Flask application
• capture_logs: Log capture for testing

Validation Tests

Created comprehensive validation tests to verify:

• All fixtures work correctly
• Test markers are registered
• Directory structure is correct
• Configuration is properly set up
• Coverage reporting functions

How to Use

Install Dependencies

poetry install

Run Tests

# Run all tests
poetry run test

# Alternative command
poetry run tests

# Run with specific options
poetry run pytest tests/ -v

# Run without coverage
poetry run pytest --no-cov

# 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"

Coverage Reports

• Terminal: Automatically shown when running tests
• HTML Report: Generated in htmlcov/ directory
• XML Report: Generated as coverage.xml for CI/CD integration

Notes

• The coverage threshold is set to 80% and will fail the test run if not met
• For the validation tests, coverage can be bypassed with --no-cov flag
• All test dependencies are in the test group and won't be installed in production
• The infrastructure is ready for immediate test development

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 patterns
4. Run tests with coverage to ensure code quality