feat: Set up comprehensive Python testing infrastructure

[llbbl]

Set up comprehensive Python testing infrastructure

Summary

This PR establishes a complete testing infrastructure for the JFK Records dataset project, transforming it from a simple script-based project to a professional development environment with comprehensive testing capabilities.

Changes Made

Package Management

• Added Poetry as the package manager with pyproject.toml configuration
• Migrated dependencies from requirements.txt to Poetry dependencies
• Set up proper project metadata and versioning

Testing Framework

• Added pytest as the primary testing framework
• Integrated pytest-cov for comprehensive coverage reporting (80% threshold)
• Added pytest-mock for advanced mocking capabilities
• Configured pytest with strict settings and custom markers

Testing Infrastructure

• Created testing directory structure:
  • tests/ - Main testing directory
  • tests/unit/ - Unit tests
  • tests/integration/ - Integration tests
  • tests/conftest.py - Shared fixtures and configuration

Shared Test Fixtures

The conftest.py includes comprehensive fixtures for:

• Temporary directory management
• Mock PDF files and content
• HTTP request mocking
• Google Genai client mocking
• Environment variable mocking
• Project structure validation

Coverage Configuration

• HTML and XML reporting for coverage analysis
• 80% coverage threshold with proper exclusions
• Source code tracking with intelligent omissions
• Coverage reports saved to htmlcov/ and coverage.xml

Development Environment

• Complete .gitignore covering Python, testing, IDE, and project-specific files
• Custom pytest markers for organizing tests (unit, integration, slow)
• Validation tests to ensure infrastructure is working correctly

Testing Commands

After this PR, developers can use these commands:

# Install dependencies
poetry install

# Run all tests
poetry run pytest

# Run tests with coverage
poetry run pytest --cov

# Run specific test categories
poetry run pytest -m unit
poetry run pytest -m integration
poetry run pytest -m slow

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

Validation

✅ All infrastructure validation tests pass (18/18)
✅ Poetry installation and dependency management working
✅ Coverage reporting configured and functional
✅ Custom pytest markers properly configured
✅ Shared fixtures available and tested
✅ Directory structure properly established

Dependencies Added

Production Dependencies (migrated)

• beautifulsoup4==4.13.3
• google-auth==2.38.0
• google-genai==1.7.0
• requests==2.32.3
• urllib3==2.3.0

Development Dependencies (new)

• pytest ^8.0.0
• pytest-cov ^4.0.0
• pytest-mock ^3.12.0

Next Steps

This infrastructure is now ready for developers to:

1. Write comprehensive unit tests for download_records.py
2. Write integration tests for extract.py
3. Add end-to-end tests for the complete workflow
4. Implement continuous integration with the testing pipeline

The testing infrastructure follows Python best practices and is designed to scale with the project as it grows.

🤖 Generated with Claude Code