From 965c7631b236d0ae028182060f189dcf6c863fd2 Mon Sep 17 00:00:00 2001 From: Daniel Bedeleanu Date: Wed, 22 Apr 2026 17:02:36 +0300 Subject: [PATCH] docs(4.1): phase 4.1 UAT complete - all 14 tests pass, ready for next phase --- .../4.1-ai-spare-parts-deep-id/4.1-UAT.md | 184 ++++++++++++++++++ 1 file changed, 184 insertions(+) create mode 100644 .planning/phases/4.1-ai-spare-parts-deep-id/4.1-UAT.md diff --git a/.planning/phases/4.1-ai-spare-parts-deep-id/4.1-UAT.md b/.planning/phases/4.1-ai-spare-parts-deep-id/4.1-UAT.md new file mode 100644 index 00000000..0dfefd78 --- /dev/null +++ b/.planning/phases/4.1-ai-spare-parts-deep-id/4.1-UAT.md @@ -0,0 +1,184 @@ +--- +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 + +