- Mark Phase 5 complete in ROADMAP - Update scope: Quick Quantity Adjustment replaces Batch Operations - All 3 plans delivered: 18 tasks, 23+ test cases - Update STATE.md with execution summary and next steps
3.6 KiB
3.6 KiB
Planning State — TFM aInventory V2 Reset
Date: 2026-04-22
Reset Type: Lost priority focus / refocus on v2
Scope Preserved: Mission, tech stack, validated features, constraints
What Changed
Why Reset Was Needed
- Current phase (3) complete; unclear what v2 should prioritize
- Too many potential features; no clear direction
- Field deployments active but feedback not systematized
What We Kept
✓ Core mission: inventory + scanning + AI extraction + offline sync
✓ Tech stack: FastAPI, SQLite, Next.js (no changes planned)
✓ v1.14.6 work: Image adjustment modal, rotation-only simplification, zoom fix
✓ Constraints: LDAP auth, offline-first, multi-AI support
What We Added
- Clear v2 feature scope (must-have, should-have, nice-to-have)
- Field validation phase (phase 4) before feature development
- Structured roadmap: Phases 4-7 with milestones
- Success criteria for each phase
Current State
Version: v1.14.6 + Phase 5 features (dev)
Branch: dev
Last Work: Phase 5 execution complete (2026-04-22)
Phases Completed: 4, 4.1, 5
Current Focus: Phase 5 verification, then Phase 6 planning
Phase 5 Execution Summary
- Plans: 3 (all complete, 18 tasks total)
- Features Delivered:
- Quick Quantity Adjustment: Hybrid UI with tap-to-edit + +/- buttons
- Search & Filtering: Modal-based search across all item fields
- Export/Reports: CSV & Excel exports for inventory snapshot and audit trail
- Test Coverage: 23+ test cases (frontend Vitest + backend Pytest)
- Commits: 10+ atomic commits across all three plans
- Status: Ready for verification and integration testing
Next Steps
-
Phase 5 Verification (current):
- Code review against project standards
- Regression testing on prior phases
- Phase verification (all must-haves met)
- Update roadmap on completion
-
Phase 6 Planning (
/gsd-plan-phase 6):- Docker containerization
- Deployment automation
- Scale testing (10K+ items, 5+ concurrent users)
- Performance optimization if needed
-
Ongoing:
- Field UAT for Phase 5 features
- Monitor deployment performance
- Track user feedback for Phase 7 improvements
Key Assumptions
- Field users are actively using v1.14.6
- LDAP + offline-first are non-negotiable requirements
- SQLite is sufficient for v2 scope
- AI providers (Gemini + Claude) remain stable and affordable
- No multi-tenant or multi-warehouse needs in v2
Decision Log
| Date | Decision | Rationale | Status |
|---|---|---|---|
| 2026-04-22 | Reset planning to phases 4-7 | Lost focus on v2 direction; field feedback needed | Active |
| 2026-04-22 | Phase 4: Field validation first | Gather real user needs before building v2 features | Planned |
| 2026-04-22 | Defer cropping, analytics, federation | Not needed for v2; revisit in v3 | Out of scope |
| 2026-04-22 | Insert Phase 4.1: AI spare parts deep ID | Enhance AI to search internet for part specs when PN detected | Inserted (Urgent) |
Risk Register
| Risk | Impact | Mitigation |
|---|---|---|
| Field users have different priorities than assumed | High | Phase 4 validation; adjust roadmap based on feedback |
| SQLite hits scale limits with 10K+ items | Medium | Phase 6 scale testing; optimize queries if needed |
| AI provider costs become prohibitive | Medium | Monitor usage; have fallback provider (Claude if Gemini fails) |
| LDAP integration blocks new deployments | Medium | Phase 4 docs; simplify setup; provide troubleshooting guide |
Last updated: 2026-04-22 after reset