# Test Implementation Summary ## Overview Comprehensive test suite designed for the Masto-RSS bot with unit tests, integration tests, and automated CI/CD testing via GitHub Actions. ## Files Created ### 1. Core Refactoring - **[bot.py](bot.py)** - Refactored core functionality into testable `MastodonRSSBot` class - Separated concerns (parsing, posting, state management) - Dependency injection for easier testing - Error handling and logging - Type hints for better code clarity - **[main.py](main.py)** - Simplified entry point - Loads configuration from environment - Instantiates and runs the bot - Clean separation from core logic ### 2. Test Files #### [test_bot.py](test_bot.py) - Unit Tests Contains **20+ unit tests** covering: - Bot initialization with configuration - Loading/saving processed entries (with and without existing files) - Directory creation for state files - Status formatting from feed entries - Mastodon posting (success and failure cases) - Feed parsing (success, errors, malformed data) - Processing new entries (all new, partially processed, no entries) - Handling entries without URLs - Failed posts don't get marked as processed - Main entry point configuration loading **Coverage:** Core business logic, edge cases, error handling #### [test_integration.py](test_integration.py) - Integration Tests Contains **10+ integration tests** covering: - End-to-end RSS to Mastodon flow - Real RSS 2.0 feed parsing - Real Atom feed parsing - State persistence across bot runs - Incremental feed updates (new entries added over time) - Network error handling (500 errors, timeouts) - Malformed XML handling - Different visibility levels (public, unlisted, private, direct) - Rate limiting error handling - Retry mechanisms **Coverage:** Component integration, external service mocking, data flow ### 3. Configuration Files #### [pytest.ini](pytest.ini) - Test discovery patterns - Coverage settings (80% minimum) - Output formatting - Test markers (unit, integration, slow) - Coverage exclusions #### [pyproject.toml](pyproject.toml) Test dependencies (managed by `uv`): - `pytest` - Testing framework - `pytest-cov` - Coverage plugin - `pytest-mock` - Mocking utilities - `responses` - HTTP mocking for integration tests - `flake8` - Linting - `black` - Code formatting - `mypy` - Type checking - `coverage` - Coverage reporting #### [.gitignore](.gitignore) Updated to exclude: - Test artifacts (`.pytest_cache/`, `htmlcov/`, `coverage.xml`) - Python cache files - Virtual environments - IDE configurations ### 4. CI/CD Pipeline #### [.github/workflows/test.yml](.github/workflows/test.yml) Comprehensive GitHub Actions workflow with **5 jobs**: 1. **Unit Tests** - Runs on Python 3.10, 3.11, 3.12 (matrix) - Executes unit tests with coverage - Uploads coverage to Codecov 2. **Integration Tests** - Runs on Python 3.10, 3.11, 3.12 (matrix) - Executes integration tests - Uploads coverage to Codecov 3. **Code Quality** - Ruff linting and formatting verification - Mypy type checking 4. **Docker Build Test** - Builds Docker image - Verifies Python installation - Checks dependencies are installed 5. **All Tests Pass** - Requires all previous jobs to succeed - Provides single status check for PRs ### 5. Documentation #### [TESTING.md](TESTING.md) Comprehensive testing guide covering: - Test architecture explanation - Running tests locally (all, specific, by marker) - Coverage report generation - GitHub Actions CI/CD workflow details - Test coverage requirements (80% minimum) - Code quality standards - Writing new tests (templates provided) - Troubleshooting common issues - Best practices #### [README.md](README.md) Updated with: - Test status badge - Link to testing documentation ## Test Statistics ### Coverage Targets - **Minimum:** 80% code coverage - **Measured:** `bot.py` and `main.py` - **Excluded:** Test files, virtual environments ### Test Count - **Unit Tests:** 20+ tests - **Integration Tests:** 10+ tests - **Total:** 30+ tests ### Python Versions Tested - Python 3.10 - Python 3.11 - Python 3.12 ## Key Testing Features ### Mocking Strategy - **Mastodon API:** Mocked using `unittest.mock` to avoid real API calls - **RSS Feeds:** Mocked using `responses` library with realistic XML - **File System:** Uses temporary files that are cleaned up automatically ### Test Data - Realistic RSS 2.0 and Atom feed examples - Multiple entry scenarios (new, processed, malformed) - Error conditions (network failures, API errors, rate limits) ### Continuous Integration - Runs on every push to `main` - Runs on all pull requests - Parallel test execution across Python versions - Automatic coverage reporting - Docker image validation ## Running Tests ### Locally ```bash # Install dependencies pip install -r requirements-test.txt # Run all tests pytest # Run with coverage pytest --cov=bot --cov=main --cov-report=html # Run specific tests pytest test_bot.py # Unit tests only pytest test_integration.py # Integration tests only ``` ### In CI/CD Tests run automatically via GitHub Actions: - **Trigger:** Push to main or pull request - **Duration:** ~5-10 minutes - **Matrix:** 3 Python versions × 2 test types = 6 parallel jobs - **Plus:** Code quality and Docker build validation ## Benefits 1. **Code Quality:** Ensures all changes are tested before merging 2. **Regression Prevention:** Catches bugs before they reach production 3. **Documentation:** Tests serve as executable documentation 4. **Confidence:** Safe to refactor with comprehensive test coverage 5. **Type Safety:** Mypy catches type-related bugs early 6. **Code Style:** Black and flake8 enforce consistency ## Future Enhancements Potential additions: - Performance/load testing - End-to-end tests with real Mastodon test instance - Security scanning (Bandit, Safety) - Mutation testing (mutmut) - Property-based testing (Hypothesis) - Contract testing for API interactions ## Maintenance - **Add tests** for all new features - **Update tests** when changing behavior - **Keep coverage above 80%** - **Run tests before committing** - **Review test failures** in CI before merging