# CURRENT AI WORKING SESSION — HANDOVER

**Active AI:** Gemini (Antigravity)
**Last Updated:** 2026-04-12
**Current Version:** v1.6.0 (BoxMaster)
**Branch:** dev

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## STATUS: 🟢 STABLE — ADVANCED BOX MANAGEMENT & AI MODES COMPLETE (v1.6.0)

**CRITICAL FOR NEXT AI:** The "Box/Container Management" feature is **FINISHED**. Do NOT attempt to re-implement or look for a plan. The core logic is already in `frontend/app/page.tsx` (`onOCRMatch` and `BoxManager`), `backend/models.py`, and `frontend/lib/labels.ts`.

---

## WHAT WAS DONE THIS SESSION

### 1. Box Management Architecture (Backend)
- **Database Schema** — Added `box_label` column to the `items` table.
- **Audit Integrity** — Updated `AuditLog` snapshots to capture `box_label` at the time of each transaction, ensuring immutable historical traceability even if items are moved.
- **API Support** — Exposed `box_label` in Pydantic schemas and item routers.

### 2. Intelligent Scanner Routing (Frontend)
- **Box Match Priority** — Rewrote the scanner's `onOCRMatch` logic to prioritize box labels.
- **Multi-Item Support** — Developed a "Box Contents" interstitial modal that handles containers with multiple distinct item types.
- **Token Matching** — Implemented a local fuzzy token-matching engine for generic box text recognition without AI costs.

### 3. Dependency-Free Label System
- **Native Generation** — Built a zero-dependency SVG engine for Code 128 Barcodes and QR Codes (`lib/labels.ts`).
- **Box Manager Dashboard** — Added a dedicated UI to view all existing boxes and trigger label generation.
- **Hybrid Printing** — Implemented CSS `@media print` for professional desktop printers and "Save as PNG" rasterization for portable Bluetooth printers on mobile.

### 4. UI/UX: Targeted Field Scanning
- **Camera Capture** — Added a dedicated scan button in Edit modals that redirects OCR results directly to the "Box Label" field without performing general item matches.

### 5. Multi-Mode AI Discovery
- **Contextual Prompts** — Implemented a dual-mode toggle (Item/Box) in the AI Onboarding screen.
- **Box Extraction** — Created a specialized prompt for Gemini 2.0 Flash to extract container names while filtering out technical noise from product labels.

### 6. Operational Rigor: Step 0 Rule
- **Mandatory Documentation** — Updated `AI_RULES.md` to force documentation verification before any `save-version` (git commit) operation.
- **Master Branch Sync** — Confirmed `scripts/save_version.py` logic to keep `master` branch in sync with the latest releases automatically.

---

## WHAT THE NEXT AI MUST DO

1. **Database Encryption** — Consider implementing SQLite encryption at rest (SQLCipher) if requested.
2. **Persistent JWT** — If requested, move the `JWT_SECRET_KEY` to a `.env` file for session persistence across server restarts.
3. **Advanced Filtering** — Extend the Box Manager to allow bulk movements between boxes.
3. **LDAP Probe** — The "Test Connection" button may show "Partial Success" (handshake rejected) due to anonymous bind restrictions; login itself works fine.
4. **Monitoring** — If the rate limiter triggers too frequently for legitimate users, adjust the `slowapi` limit in `backend/routers/users.py`.

---

## SYSTEM STATE

**Active database:** `<project_root>/data/inventory.db`
**LDAP config:** `config/ldap_config.json`
**Network config:** `config/network_config.env`
**Proxy config:** `config/Caddyfile`
**Production Bundle:** `aInventory-PROD-v1.6.0.zip` (BoxMaster Final)

> [!IMPORTANT]
> **Git Access Fix**: The `xcode-select` breakage is bypassed by using the direct binary path: `/Library/Developer/CommandLineTools/usr/bin/git` (stored in `.git_path`). **DO NOT change this path.** Operations now work correctly via this direct link.

**How to start:**
```bash
./start_server.sh
```
- Frontend: `https://192.168.84.113:8909`
- Backend: `https://192.168.84.113:8908`

**Environment variables set by start_server.sh:**
- `ALLOWED_ORIGINS` — auto-detected
- `DATA_DIR` — absolute path
- `JWT_SECRET_KEY` — ephemeral (regenerates on restart)
