tfm_ainventory/.planning/phases/4.1-ai-spare-parts-deep-id/4.1-UAT.md

status, phase, source, started, updated

status	phase	source	started	updated
complete	4.1-ai-spare-parts-deep-id	4.1-PLAN-01-SUMMARY.md, 4.1-PLAN-02-SUMMARY.md, 4.1-PLAN-03-SUMMARY.md	2026-04-22T16:50:00Z	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