feat: Add comprehensive Python testing infrastructure

[llbbl]

Python Testing Infrastructure Setup

Summary

This PR establishes a complete testing infrastructure for the Python project, providing all the necessary tools and configuration for developers to immediately start writing and running tests.

Changes Made

Package Management

• Poetry Setup: Configured Poetry as the package manager in pyproject.toml
• Dependency Management: Prepared for migration from requirements.txt to Poetry (see pyproject_full.toml for full dependency list)
• Development Dependencies: Added pytest, pytest-cov, and pytest-mock as development dependencies

Testing Configuration

• pytest Configuration:

  • Test discovery patterns for test_*.py and *_test.py files
  • Strict markers and configuration enforcement
  • Verbose output with detailed failure information

• Coverage Settings:

  • 80% minimum coverage threshold
  • HTML and XML report generation
  • Branch coverage tracking
  • Exclusion of test files and boilerplate code

• Custom Markers:

  • unit: For isolated component tests
  • integration: For multi-component tests
  • slow: For long-running tests (can be excluded with -m "not slow")

Directory Structure

tests/
├── __init__.py
├── conftest.py              # Shared fixtures and configuration
├── test_setup_validation.py # Infrastructure validation tests
├── unit/                    # Unit tests directory
│   └── __init__.py
└── integration/            # Integration tests directory
    └── __init__.py

Test Fixtures (conftest.py)

Comprehensive fixtures for common testing needs:

• File/Directory Management: temp_dir, temp_file, sample_html_file
• Configuration: test_config, env_vars
• Mock Objects: mock_database, mock_elasticsearch, mock_tor_session
• Sample Data: sample_onion_data, sample_bitcoin_addresses, sample_email_addresses
• Network Mocks: mock_port_scanner, mock_whatweb_output
• Utilities: assert_helpers, benchmark_timer, frozen_time
• Cleanup: Automatic test file cleanup

Development Commands

• poetry run test - Run all tests
• poetry run tests - Alternative command (both work)
• Standard pytest options are available (e.g., -v, -k, -m)

.gitignore Updates

Added entries for:

• Testing artifacts (.pytest_cache/, .coverage, htmlcov/, coverage.xml)
• Claude settings (.claude/*)
• Build artifacts and virtual environments
• IDE files and temporary files

How to Use

Installation

# Install Poetry if not already installed
pipx install poetry

# Install dependencies including dev dependencies
poetry install

# Run validation tests
poetry run pytest tests/test_setup_validation.py -v

Running Tests

# Run all tests with coverage
poetry run test

# Run only unit tests
poetry run test -m unit

# Run tests without coverage
poetry run test --no-cov

# Run specific test file
poetry run test tests/test_something.py

# Run with specific verbosity
poetry run test -vv

Writing New Tests

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

Validation

The infrastructure has been validated with 13 passing tests that verify:

• Project modules can be imported
• All fixtures are working correctly
• Custom markers are properly defined
• Coverage configuration is set up
• Python path includes project root

Next Steps

1. Migrate existing dependencies from requirements.txt to Poetry (use pyproject_full.toml as reference)
2. Start writing unit tests for existing modules
3. Set up CI/CD pipeline to run tests automatically
4. Consider adding additional testing tools (e.g., tox for multiple Python versions, black for formatting)

Notes

• The testing infrastructure is ready to use immediately
• No actual unit tests for the codebase were written - only infrastructure setup
• Coverage threshold is set to 80% but can be adjusted in pyproject.toml
• The setup supports both local development and CI/CD integration