Add Python Testing Infrastructure

Summary

This PR sets up a comprehensive testing infrastructure for the search-tweets-python project using Poetry as the package manager and pytest as the testing framework. The infrastructure provides a solid foundation for writing and organizing tests with proper coverage reporting and test categorization.

Changes Made

Package Management

• Poetry Setup: Created pyproject.toml with Poetry configuration
• Dependency Migration: Migrated existing dependencies from setup.py to Poetry format
• Development Dependencies: Added pytest (^7.4.0), pytest-cov (^4.1.0), and pytest-mock (^3.11.1)

Testing Configuration

• pytest Configuration:

  • Configured test discovery patterns
  • Set up coverage reporting with HTML and XML output
  • Added strict markers and output formatting
  • Created custom markers: unit, integration, slow

• Coverage Settings:

  • Set 80% coverage threshold (currently disabled for validation tests)
  • Configured source directories and exclusions
  • Added multiple report formats (terminal, HTML, XML)

Directory Structure

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

Shared Fixtures (conftest.py)

• temp_dir: Creates temporary directories for testing
• mock_config: Provides mock configuration dictionaries
• mock_yaml_config: Creates temporary YAML config files
• mock_credentials: Mock API credentials
• mock_tweet_response: Sample API response data
• mock_search_params: Search parameter examples
• setup_test_environment: Clears environment variables
• capture_logs: Log capture utility

Additional Files

• Makefile: Convenient commands for running tests
• .gitignore: Updated with testing and Claude-specific patterns

How to Use

Installation

# Install all dependencies including dev dependencies
poetry install

Running Tests

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

# Run only unit tests
poetry run pytest -m unit
# or
make test-unit

# Run only integration tests
poetry run pytest -m integration
# or
make test-integration

# Run with coverage enforcement
make test-coverage

Writing Tests

1. Place unit tests in tests/unit/
2. Place integration tests in tests/integration/
3. Use the provided fixtures from conftest.py
4. Mark tests appropriately:

   @pytest.mark.unit
   def test_something():
       pass
   
   @pytest.mark.integration
   def test_api_call():
       pass
   
   @pytest.mark.slow
   def test_long_running():
       pass

Notes

• The validation tests confirm the infrastructure is working correctly
• Coverage is currently low (23.55%) as only infrastructure validation tests exist
• The 80% coverage threshold is configured but not enforced in CI to allow gradual test addition
• Poetry lock file (poetry.lock) should be committed to ensure reproducible builds

Next Steps

• Start writing unit tests for existing modules
• Add integration tests for API functionality
• Set up CI/CD pipeline to run tests automatically
• Consider adding additional testing tools (e.g., hypothesis for property-based testing)