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Reklamator/specs/001-build-an-application
gurixandClaude 2977d12800 Complete Phase 4 (User Story 2) - AI-Powered Feedback Analysis
Verification revealed Phase 4 was 96% complete (27/28 tasks). Implemented
missing retry logic (T081) and marked all tasks as complete in tasks.md.

Implementation Status:
- Tests (T065-T070):  6/6 complete
  - 5 unit tests for AIAnalyzer interface and extraction methods
  - 2 integration tests for full analysis flow
  - All tests passing

- Core Implementation (T071-T092):  22/22 complete
  - AIAnalyzer abstract base class with interface
  - AnalysisResult dataclass for structured results
  - ClaudeAnalyzer with Anthropic SDK integration
  - Single-call prompt design (categorize + summarize + translate)
  - Language detection and category extraction
  - Summary and translation extraction with regex
  - 45s API timeout handling
  - NEW: Retry logic with exponential backoff (3 retries, 1s/2s/4s)
    - Retries transient errors (rate limits, server errors)
    - Does not retry timeouts or non-retryable errors
  - Analysis storage to analysis.md
  - Background threading for async analysis
  - Automatic trigger on feedback submission
  - Status transitions: new → analyzing → analyzed/analysis_failed
  - Language and category stored in metadata.yaml
  - ANTHROPIC_API_KEY documented in .env.example
  - FR-016 compliance: Original content.txt preserved
  - FR-021 compliance: Images stored but not OCR'd

New Implementation:
- Added retry logic for transient API failures (T081):
  - Max 3 retries with exponential backoff (1s, 2s, 4s)
  - Only retries rate limits and server errors
  - Does not retry timeouts or permanent errors
  - File: app/services/ai_analyzer.py lines 70-123

Test Results:
- 8 tests passed (unit + integration + contract)
- All analysis features verified working
- Manual analysis trigger tested
- Background analysis tested
- Error handling and status transitions verified

Integration Points:
- Automatic analysis on submission (app/routes/submission.py:93-94)
- Manual analysis trigger (app/routes/dashboard.py:207-285)
- Analysis storage (app/services/feedback_storage.py:476-548)
- Status management throughout analysis lifecycle

🎯 CHECKPOINT: User Stories 1 AND 2 work together seamlessly - feedback
is submitted AND automatically analyzed with categorization, summarization,
and translation. Manual re-analysis also available via dashboard.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-17 10:29:30 +02:00
..
2025-10-14 22:33:25 +02:00
2025-10-14 22:33:25 +02:00