Address architectural inconsistency where environment variables were used
directly instead of through Flask's configuration system.
Issues Fixed:
1. .env file was never loaded - load_dotenv() was missing
2. Routes used os.getenv() directly instead of app.config
3. ANTHROPIC_API_KEY was defined in config but not used properly
Changes:
- config/development.py: Added load_dotenv() at module level
- app/routes/submission.py: Changed os.getenv() to current_app.config.get()
- app/routes/dashboard.py: Changed os.getenv() to current_app.config.get()
Benefits:
- Proper separation of concerns (config vs code)
- .env files now work as expected in development
- Easier to test (can mock app.config)
- Consistent with Flask best practices
- Production env vars still work (no dotenv in production config)
Configuration Flow:
Development: .env → load_dotenv() → os.environ → DevelopmentConfig → app.config
Production: System env vars → os.environ → ProductionConfig → app.config
Application: app.config.get('ANTHROPIC_API_KEY')
All 49 tests passing (1 skipped)
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
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>
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