Add Python Testing Infrastructure

Summary

This PR sets up a comprehensive testing infrastructure for the Website Crawler project using Poetry for dependency management and pytest as the testing framework. The setup provides a solid foundation for adding unit and integration tests to improve code quality and maintainability.

Changes Made

Package Management

• Added Poetry configuration (pyproject.toml) as the package manager
• Configured project metadata and Python version requirements (>=3.8)
• Set up development dependencies group for testing tools

Testing Framework

• pytest - Main testing framework with extensive configuration
• pytest-cov - Coverage reporting with 80% threshold requirement
• pytest-mock - Mocking utilities for isolated unit tests

Testing Configuration

• Configured pytest settings in pyproject.toml:
  • Test discovery patterns for test_*.py and *_test.py files
  • Coverage reporting (terminal, HTML, and XML formats)
  • 80% coverage threshold with branch coverage
  • Custom test markers: @pytest.mark.unit, @pytest.mark.integration, @pytest.mark.slow
  • Strict configuration and marker validation

Directory Structure

tests/
├── __init__.py
├── conftest.py          # Shared fixtures and test configuration
├── test_setup_validation.py  # Validation tests for the infrastructure
├── unit/
│   └── __init__.py
└── integration/
    └── __init__.py

Shared Fixtures (conftest.py)

• temp_dir - Creates temporary directories for test isolation
• mock_config - Provides mock configuration dictionaries
• mock_queue - Mock Queue objects for threading tests
• sample_html - HTML content for link parsing tests
• test_files - Creates test files (queue.txt, crawled.txt)
• mock_spider_class - Mock Spider class for crawler tests
• mock_url_response - Mock HTTP responses
• capture_logs - Log capture utility

Development Workflow

• Updated .gitignore with comprehensive patterns for:
  • Testing artifacts (.pytest_cache/, coverage.xml, htmlcov/)
  • Python build artifacts and virtual environments
  • IDE files and OS-specific files
  • Claude-specific directories (.claude/*)

Validation

• Created test_setup_validation.py to verify:
  • All dependencies are properly installed
  • Project structure is correctly set up
  • Test markers work as expected
  • Fixtures are callable and functional
  • Coverage configuration is properly set

How to Use

Install Dependencies

# Install Poetry (if not already installed)
curl -sSL https://install.python-poetry.org | python3 -

# Install project dependencies
poetry install

Run Tests

# Run all tests
poetry run pytest

# Run with coverage report
poetry run pytest --cov

# Run specific test markers
poetry run pytest -m unit
poetry run pytest -m integration
poetry run pytest -m "not slow"

# Run tests in a specific directory
poetry run pytest tests/unit/

Coverage Reports

• Terminal: Displayed after each test run
• HTML: Generated in htmlcov/ directory
• XML: Generated as coverage.xml for CI integration

Notes

• The project currently has no external dependencies beyond the Python standard library
• Coverage threshold is set to 80% to encourage comprehensive testing
• The validation tests pass successfully, confirming the infrastructure is working
• Poetry lock file (poetry.lock) is created and should be committed to ensure reproducible builds
• No actual unit tests for the codebase were created - only the infrastructure setup

Next Steps

With this testing infrastructure in place, developers can now:

1. Write unit tests for individual modules (spider.py, domain.py, etc.)
2. Add integration tests for the complete crawling workflow
3. Implement mocking for external dependencies (file I/O, threading)
4. Set up CI/CD pipelines using the coverage reports