CURRENT AI WORKING SESSION — HANDOVER

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

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

Database Encryption — Consider implementing SQLite encryption at rest (SQLCipher) if requested.
Persistent JWT — If requested, move the JWT_SECRET_KEY to a .env file for session persistence across server restarts.
Advanced Filtering — Extend the Box Manager to allow bulk movements between boxes.
LDAP Probe — The "Test Connection" button may show "Partial Success" (handshake rejected) due to anonymous bind restrictions; login itself works fine.
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:

./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)

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