--- status: complete phase: 4.1-ai-spare-parts-deep-id source: 4.1-PLAN-01-SUMMARY.md, 4.1-PLAN-02-SUMMARY.md, 4.1-PLAN-03-SUMMARY.md started: 2026-04-22T16:50:00Z updated: 2026-04-22T16:55:00Z --- # Phase 4.1 Verification — AI Spare Parts Deep Identification (All Waves) ## Current Test [testing complete] ## Tests ### 1. Spare-Parts Classification Module expected: | Classification module in `backend/ai/spare_parts_whitelist.py` correctly identifies: - Kingston DDR4 RAM as spare part ✓ - 6ft SATA Cable as consumable ✓ - Corsair RM850x PSU as spare part ✓ - Power Cable AC Cord as consumable ✓ - Fuzzy matching works (e.g., "Random Access Memory" → spare part) ✓ result: pass ### 2. AI Prompt Enhancement (Gemini & Claude) expected: | Both AI providers (Gemini and Claude) have been updated with spare-parts classification guidance: - `config/ai_prompt.md` contains "Spare-Parts vs Consumables Classification" section - Includes decision tree logic with 3-question qualification check - Provides 8 concrete examples (4 spare parts + 4 consumables) - JSON output format unchanged result: pass ### 3. Unit Tests for Classification Module expected: | Test file `tests/test_spare_parts_classification.py` contains 25+ test cases: - Exact match tests (RAM, storage, processors, power supplies) - Consumable tests (cables, fasteners, thermal materials) - Fuzzy match tests (RAM variants, storage variants) - Edge case tests (power cable vs PSU, empty strings, case insensitivity) - All assertions pass when tests are run result: pass ### 4. Web Scraper Service expected: | Service in `backend/services/web_scraper.py` provides: - `SearchRateLimiter` class with rate limiting (1 request per 5 seconds) - `async search_google(query)` function that returns top 5 results - `async search_bing(query)` function as fallback - User-Agent rotation (11 different agents) - Graceful handling of 429/403 blocking - All async/await patterns correct result: pass ### 5. Spec Extractor Service expected: | Service in `backend/services/spec_extractor.py` provides: - `ExtractedSpecs` dataclass with 11 fields (manufacturer, model, capacity, etc.) - `extract_specs_from_search()` function with regex patterns for: - Memory types (DDR3/4/5), capacity (GB/TB), speed (MHz) - Storage detection (SSD, HDD, NVMe, M.2) - Processor extraction (Intel, AMD, NVIDIA) - Power ratings (850W, 1000W) - Confidence scoring (0.0-1.0) on all extractions - Context-aware field mapping to Item model result: pass ### 6. Search Orchestrator Service expected: | Service in `backend/services/spare_parts_search.py` provides: - `async search_spare_parts()` function that: - Validates category is a spare part - Searches Google first, falls back to Bing - Extracts specs from results - Returns Dict with {category, type, description, notes, confidence} - Returns None gracefully on timeout/failure - Respects timeout parameter (default 30s) - `async search_multiple_candidates()` for batch search result: pass ### 7. Backend Integration Tests expected: | Test file `tests/test_spare_parts_search.py` contains 20+ test cases covering: - SearchRateLimiter initialization and acquisition - SpecExtractor for Memory, Storage, Processor, Power specs - Field mapping for different item categories - Search orchestration with fallback - Timeout handling and graceful degradation - Non-spare-part rejection - Batch search with multiple candidates - All tests pass when run with pytest result: pass ### 8. useItemSearch Hook expected: | Hook in `frontend/hooks/useItemSearch.ts` provides: - `SearchState` interface with 5 fields (isSearching, searchError, searchResults, searchStatus, retryCount) - `performSearch(partNumber, category)` function that calls `/api/onboarding/search` - `retrySearch()` function with max retry limit - `skipSearch()` function to proceed without search - Timeout protection (default 30s, configurable) - Graceful error handling (timeout vs network error) - TypeScript strict mode compliance result: pass ### 9. SearchLoadingModal Component expected: | Component in `frontend/components/SearchLoadingModal.tsx` provides: - Modal that displays when `isOpen={true}` - 30-second countdown timer (configurable) - Progress bar showing elapsed time - Non-dismissible modal (blocks user interaction) - Auto-triggers `onTimeout` callback when countdown expires - Clean Tailwind styling with primary color progress bar result: pass ### 10. SearchErrorModal Component expected: | Component in `frontend/components/SearchErrorModal.tsx` provides: - Modal that displays when error occurs - Shows error message clearly - "Retry" button to retry the search - "Skip" button to proceed without search results - Callback handling for both actions result: pass ### 11. AIOnboarding Component Integration expected: | The AIOnboarding component has been integrated with search: - Triggers search after AI extraction when spare part is detected - Shows SearchLoadingModal while search is in progress - Shows SearchErrorModal if search fails - Pre-populates extracted fields from search results - Allows user to retry or skip search - Merges search results with AI extraction seamlessly result: pass ### 12. Frontend Component Tests expected: | Test files exist and pass: - `frontend/tests/useItemSearch.test.tsx` (hook tests) - `frontend/tests/SearchLoadingModal.test.tsx` (modal tests) - `frontend/tests/SearchErrorModal.test.tsx` (error modal tests) - All tests use Vitest + React Testing Library - Tests cover happy path, error cases, and timeout scenarios result: pass ### 13. End-to-End Frontend-Backend Flow expected: | Complete flow works as expected: 1. User scans/uploads item image in AIOnboarding 2. AI extracts item data (category, part number, etc.) 3. If spare part is detected, search is triggered automatically 4. SearchLoadingModal shows 30-second countdown 5. Search results are extracted and pre-populate fields 6. User can edit/confirm the merged data 7. Item is saved with AI + search data 8. On error: SearchErrorModal allows retry or skip result: pass ### 14. Feature Flags & Configuration expected: | Configuration is in place: - API endpoint `/api/onboarding/search` exists and works - Search timeout is configurable (default 30s) - Max retry count is configurable - Rate limiting is applied (1 request per 5 seconds) - Graceful degradation when search unavailable result: pass ## Summary total: 14 passed: 14 issues: 0 pending: 0 skipped: 0 blocked: 0 ## Gaps