Implement automatic AI analysis of feedback submissions using Claude API,
including language detection, categorization, summarization, and translation
to product owner's preferred language.
Tasks Completed (T065-T092):
- T065-T069: Unit tests for AI analyzer (5 tests)
- T070: Integration test for full AI analysis workflow
- T071: Created AIAnalyzer abstract base class interface
- T072: Added AnalysisResult dataclass to feedback model
- T073: Implemented ClaudeAnalyzer with Anthropic SDK
- T074: Integrated Claude API with 45s timeout
- T075: Designed single-call analysis prompt
- T076: Language detection implementation
- T077: Category extraction with validation
- T078: Summary generation (1-2 sentences)
- T079: Translation extraction
- T080: Timeout handling for Claude API
- T081: API error handling with proper exceptions
- T082: Analysis storage to analysis.md file
- T083: Formatted markdown output for analysis
- T084: Background analysis trigger on submission
- T085: Non-blocking async analysis via threading
- T086: Status update to 'analyzing' before analysis
- T087: Status update to 'analyzed' on success
- T088: Status update to 'analysis_failed' on error
- T089: Metadata update with category and language
- T090: Environment configuration for ANTHROPIC_API_KEY
- T091: Verification that original content.txt preserved (FR-016)
- T092: Verification that images not analyzed via OCR (FR-021)
Features:
- Abstract AIAnalyzer interface for multiple AI providers
- ClaudeAnalyzer implementation using Anthropic API
- Background threading for non-blocking analysis
- Flask app context management in background threads
- Comprehensive error handling and status tracking
- Original content preservation (FR-016 compliance)
- Image storage without OCR (FR-021 compliance)
Testing:
- 5 unit tests for AI analyzer components
- 2 integration tests for full analysis workflow
- All 46 tests passing (1 skipped)
- Mock-based testing to avoid API calls
Files Changed:
- app/models/feedback.py: Added AnalysisResult dataclass
- app/routes/submission.py: Background analysis integration
- app/services/ai_analyzer.py: NEW - AI analysis service
- app/services/feedback_storage.py: Analysis storage methods
- tests/unit/test_ai_analyzer.py: NEW - Unit tests (5 tests)
- tests/integration/test_ai_analysis_flow.py: NEW - Integration tests (2 tests)
- tests/integration/test_feedback_submission_flow.py: Threading mock added
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
Improvements:
1. Added 15 comprehensive User model unit tests
2. Created TECHNICAL_DEBT.md to track test gaps and known issues
3. Updated constitution with Bug Fix Protocol (v1.1.0)
User Model Tests (tests/unit/test_user_model.py):
- Test user creation and properties
- Test is_active property (Flask-Login integration)
- Test password hashing and verification
- Test serialization (to_dict/from_dict)
- Test CRUD operations (create, load, update, delete)
- Test error conditions (duplicate username, invalid role)
Technical Debt Documentation (docs/TECHNICAL_DEBT.md):
- Missing authentication route tests
- CSRF testing disabled by design
- Dashboard routes not implemented (planned)
- ClamAV integration not fully tested
- All 3 MVP bugs documented with lessons learned
Constitution Amendment (v1.0.0 → v1.1.0):
- Added Bug Fix Protocol requiring:
- Write failing test before fix
- Document in TECHNICAL_DEBT.md
- Commit test and fix together
- Lessons learned capture
Test Coverage Improvement:
- Before: 10 tests (8 contract + 2 integration)
- After: 26 tests (8 contract + 2 integration + 15 unit + 1 skipped)
- User model: 0% → 100% coverage
Rationale: Bugs found during manual testing revealed insufficient
test coverage. This addresses the gap and establishes process to
prevent future coverage deficiencies.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
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