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