Create Test Suite

[ixs]

The app is missing both unit tests as well as functional tests.

• These should be added
• Follow best practices for developing tests.

[ixs]

🎉 Comprehensive Test Suite Implementation Complete

I've successfully implemented a complete test suite for the Tasmota SML Parser application. All changes have been committed to branch feature/comprehensive-test-suite.

📊 Implementation Summary

✅ 50+ Tests across 4 categories
✅ Real SML test data from existing test-data.txt
✅ CI/CD integration with GitHub Actions
✅ Python version compatibility (3.9 for master, 3.9-3.13 for python313 branch)
✅ Comprehensive documentation and tooling

🏗️ Test Structure

tests/
├── test_sml_decoder.py        # Unit tests (unittest)
├── test_sml_decoder_pytest.py # Unit tests (pytest + mocking)
├── test_app.py               # Functional tests (unittest)
├── test_app_pytest.py        # Functional tests (pytest + mocking)
├── test_integration.py       # Integration tests
├── test_performance.py       # Performance & stress tests
├── pytest.ini              # Test configuration
└── README.md               # Detailed test documentation

🧪 Test Categories

1. Unit Tests - SML decoder functionality, input parsing, frame decoding, error handling
2. Functional Tests - Flask app routes, form processing, template rendering, HTTP responses
3. Integration Tests - End-to-end workflows, file operations, real data processing
4. Performance Tests - Large datasets (1000+ messages), memory monitoring, concurrency

🛠️ Developer Tools

• run_tests.py - Smart test runner with Python version checking
• Makefile - Convenient test targets (make test, make test-unit, etc.)
• requirements-test.txt - Test dependencies (pytest, coverage, mocking)
• GitHub Actions - CI/CD workflows for both Python 3.9 and 3.13 branches

🚀 Usage

# Quick start
make test

# Specific categories
make test-unit
make test-functional
make test-integration
make test-performance

# With coverage reporting
make test-coverage

📝 Key Features

• Real Test Data: Uses actual SML messages from your test-data.txt
• Mock Strategies: Proper isolation of external dependencies
• Error Resilience: Tests handle malformed input gracefully
• Performance Monitoring: Memory usage and execution time benchmarks
• Cross-Version Support: Accounts for Python 3.9 limitation on master branch

📚 Documentation

• TESTING.md - Complete test suite overview
• tests/README.md - Detailed testing guide
• Updated README.md - Integration with existing documentation

🔄 Next Steps

The test suite is ready for review and iteration. Key areas for future enhancement:

1. Coverage Expansion - Add more edge cases as they're discovered
2. Performance Tuning - Adjust benchmarks based on real-world usage
3. Mock Refinement - Enhance mocking strategies for better isolation
4. CI/CD Enhancement - Add deployment pipeline integration

�� Branch Information

• Branch: feature/comprehensive-test-suite
• Base: master
• Ready for: Review, testing, and iteration
• Compatible with: Current Python 3.9 requirement

The implementation follows Python testing best practices and provides a solid foundation for maintaining code quality as the application evolves. All tests are designed to be maintainable, readable, and provide meaningful feedback when issues occur.

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Branch: https://github.com/ixs/tasmota-sml-parser/tree/feature/comprehensive-test-suite

[mi-hol]

great achievement! Another area to add is from my view "production monitoring" to prevent outages as in https://github.com/ixs/tasmota-sml-parser/issues/13