Design thoughtful engineering approach

[LopeWale]

This commit implements the full Phase 1.3 of TestAble's development roadmap, completing the core backend functionality for AI-powered test automation.

New Features

Test Discovery Service (backend/execution/discovery.py)

• Repository-aware test file discovery (glob patterns: test_*.py, *_test.py)
• AST-based pytest parsing without import side effects
• Extracts test functions, classes, docstrings, and markers
• Generates natural language descriptions for non-coders
• Supports component hierarchy (file → class → method)

Test Result Storage (backend/execution/result_storage.py)

• Persists individual test results with full metadata
• Tracks cache performance per test
• Supports flakiness detection through historical analysis
• Provides slowest tests analysis for optimization
• Cache performance analytics across runs

GitHub Status Service (backend/github/status_service.py)

• Commit status updates (pending → success/failure)
• PR comments with rich markdown formatting
• GitHub Checks API integration
• Updates existing bot comments vs creating new ones
• TestResultFormatter for beautiful report generation

Enhanced Orchestrator

• Real test discovery from cloned repositories
• Executes discovered tests with Stagehand integration
• Posts GitHub commit statuses and PR comments
• Persists results to PostgreSQL database
• Full end-to-end workflow support

New Data Models (backend/workflows/models.py)

• DiscoveredTest: Test metadata with NL descriptions
• DiscoveredTestSuite: Test file/class groupings
• DiscoveryResult: Complete discovery output
• TestResult: Execution result with cache stats
• TestRunSummary: Aggregated run statistics
• TestCacheStats: Cache performance metrics

Database Schema Updates

• Added test_results table for individual test storage
• Proper indexes for common query patterns
• JSONB support for cache stats and error info

End-to-End Flow

The complete test automation flow now works:

1. Webhook receives GitHub push/PR event
2. Repository cloned via RepositoryManager
3. Tests discovered via RepositoryTestDiscovery
4. Tests executed with Stagehand + intelligent caching
5. Results persisted to PostgreSQL
6. GitHub updated with commit status + PR comments
7. Reports sent to configured destinations

Impact

TestAble is now a functional AI-powered test automation platform! Phase 1 (Core Backend) is complete. Next: API authentication (Phase 2.1)