5 Commits

Author	SHA1	Message	Date
Daniel Bedeleanu	5ba488ea5e	docs(4.1): wave 1 execution complete - spare-parts classification foundation	2026-04-22 16:36:11 +03:00
Daniel Bedeleanu	ac87c4c06b	docs(4.1): planning complete - research + 3 executable plans ... Phase 4.1: AI Prompt Enhancement — Spare Parts Deep Identification Artifacts: - 4.1-RESEARCH.md: Web scraping patterns, spare-parts classification, integration architecture - 4.1-PLAN-01.md (Wave 1): Spare-parts whitelist + AI prompt enhancement (4 tasks) - 4.1-PLAN-02.md (Wave 2): Web scraping service + backend integration (6 tasks) - 4.1-PLAN-03.md (Wave 3): Frontend integration + end-to-end testing (7 tasks) All 17 tasks verified: ✓ Concrete action steps with exact function signatures and file paths ✓ 100% verifiable acceptance criteria (grep, pytest, vitest, imports) ✓ Architecture aligned with all 11 CONTEXT.md decisions ✓ CLAUDE.md compliance: TypeScript strict, API tests, UI fidelity ✓ Wave dependencies correctly ordered ✓ Risk mitigation: rate limiting, timeout handling, offline graceful degradation Ready for execution via /gsd-execute-phase 4.1	2026-04-22 16:28:26 +03:00
Daniel Bedeleanu	b90085cce5	docs(4.1): capture phase context and discussion log for AI spare parts deep identification ... - AI Prompt: Detailed categorization to distinguish spare parts from consumables - Search: Web scraping (requests + BeautifulSoup) to extract Google results, no API key - Trigger: Automatic background search after AI extraction if category matches whitelist - UX: Block until search completes, user reviews and edits all fields before save - Mapping: Extract product type/specs/manufacturer/description to Notes field - Retry on failure, user can skip if needed	2026-04-22 16:16:51 +03:00
Daniel Bedeleanu	d3f8b6c4ff	Phase 4.1 inserted: AI spare parts deep identification (internet search enhancement)	2026-04-22 16:03:25 +03:00
Daniel Bedeleanu	5e7318c7f6	Planning reset: v2 roadmap and phase 4-7 structure	2026-04-22 15:56:47 +03:00