Build [v1.7.0] - GitGuard - Infrastructure Hardening

AI_RULES.md

@@ -14,7 +14,7 @@ This is the **Single Source of Truth** for ALL AI agents. Refer to [PROJECT_ARCH
 
 ## 2. ENGINEERING & OPERATIONAL LAWS
 - **ENGLISH ONLY**: Interfaces, code, variables, and docs MUST be in English. Translate any Romanian text found in code immediately. (User conversation: Romanian/English).
-- **GIT PROTOCOL**: Use binary path in `.git_path` for all operations. Never push or use `--force` unless asked. Branching: `master` (stable), `dev` (active), `vX` (archive).
+- **GIT PROTOCOL**: Use the direct binary path in `.git_path` (`/Library/Developer/CommandLineTools/usr/bin/git`) for ALL Git operations. **DO NOT REMOVE OR CHANGE THIS PATH UNDER ANY CIRCUMSTANCES!** Never push or use `--force` unless explicitly asked. Branching: `master` (stable), `dev` (active), `vX` (archive).
 - **VERSIONING**: Update `VERSION.json` on every commit. Use `scripts/save_version.py` for automated releases.
 - **DEPENDENCIES**: Update `backend/requirements.txt` with version constraints for every new pip package.
 - **SSOT INTEGRITY**: Every feature change MUST update: `README.md`, `USER_GUIDE.md`, `PROJECT_ARCHITECTURE.md`, and `export_prod.sh`.
@@ -41,7 +41,14 @@ This is the **Single Source of Truth** for ALL AI agents. Refer to [PROJECT_ARCH
   - **Native Alerts**: Use `window.confirm` for all destructive UI actions and Logout.
 
 ## 5. AI COMMAND SHORTCUTS
-- **`save-version`**: 1. Increment `VERSION.json`. 2. Git add/commit (`Build [vX.Y.Z]`). 3. Create branch `vX.Y.Z`. 4. Run `./export_prod.sh`. (Always use `python3 scripts/save_version.py`).
+- **`save-version`**: 
+  0. **MANDATORY**: Verify and update ALL documentation (`.md` files: README, USER_GUIDE, ARCHITECTURE, etc.) with explanations of all current changes.
+  1. Increment `VERSION.json`.
+  2. Git add/commit (`Build [vX.Y.Z]`). 
+  3. Create branch `vX.Y.Z` (Snapshot).
+  4. Automatic Sync: Merge changes into `master` branch to keep it up-to-date.
+  5. Run `./export_prod.sh`.
+  (Always use `python3 scripts/save_version.py`).
 
 ---
 

PROJECT_ARCHITECTURE.md

@@ -37,6 +37,7 @@ A unified system to maintain an inventory of "items" and their quantities, inclu
 ### 4.1 AI Usage Policy
 - **Routine Operations (Check-in/Out):** Executes entirely on the local device unconditionally using `html5-qrcode` ($0 cost). No AI is allowed here.
 - **New Item Onboarding (AI Label OCR):** Uses cloud AI (`gemini-2.0-flash`). The user takes a photo, AI extracts data based on strict templates.
+- **AI Box Discovery Mode (v1.6.0):** Supports specialized `mode="box"` prompt that focuses exclusively on prominent container names/hand-written labels, ignoring technical spec noise.
 - **Validation Mask:** AI-extracted data is NEVER saved directly. It is presented in a validation UI for human confirmation.
 
 ### 4.2 Scanner Technical Specs
@@ -48,6 +49,7 @@ A unified system to maintain an inventory of "items" and their quantities, inclu
   - Noise Filtering: Ignores `< 3` chars, decimals, and dates.
   - Scoring: Exact S/N (+500), Exact P/N (+200), Token match (+50), Category match (+20).
   - Threshold: Minimum **40 points** for auto-match without user intervention.
+- **Targeted Field Scanning (v1.6.0):** UI allows "locking" the scanner focus to a specific input field (e.g., `box_label`). The OCR result is then redirected to state without performing regular item lookup.
 
 ### 4.3 Box Labeling & Printing System (v1.5.0)
 - **Local OCR Priority:** Before checking individual S/Ns, the matching engine searches for `box_label` tokens. If a box is identified:
@@ -83,7 +85,12 @@ To ensure enterprise-grade protection, the following policies are enforced:
 ### 7.3 Data Privacy
 - **Information Scrubbing:** Backend logs are configured to intercept and mask sensitive auth tokens or internal secrets (e.g., `JWT_SECRET_KEY`) during debug output.
 - **Direct Bind LDAP:** Authentication uses direct user binding to the LDAP server, avoiding the need for a privileged service account with broad search permissions.
+- **Cryptographic Credential Caching:** To support offline operations, the system caches a **PBKDF2-HMAC-SHA256 hash** of the user's Enterprise credentials upon successful online login. Plain text passwords are NEVER stored.
 
 ### 7.4 PWA Trust & Security
 - **HTTPS Enforcement:** The system requires TLS (Port 3003) for camera access and secure token transmission.
 - **Manifest Integrity:** A comprehensive `manifest.json` ensures the app is recognized as a trusted PWA on mobile platforms (iOS/Android).
+7.5 Git Infrastructure Hardening (v1.7.0)
+To ensure deployment stability on macOS environments with potentially broken developer tool links (`xcode-select` errors):
+- **Direct Binary Mapping:** The system bypasses path resolution by using a hardcoded direct link to the Git binary in `.git_path` (`/Library/Developer/CommandLineTools/usr/bin/git`).
+- **Persistence Mandate:** This path is protected by mandatory AI rules and must never be removed or modified to ensure `save-version` and automated deployment scripts remain functional.

README.md

@@ -34,7 +34,7 @@ Native Linux installation (Alma/Debian/Ubuntu) without Docker dependencies.
 To generate a clean production package and snapshot the current state:
 1.  Use the AI shortcut command: `save-version`.
 2.  Alternatively, run `./export_prod.sh` manually.
-3.  A `.zip` archive will be created (e.g., `aInventory-PROD-v1.3.6.zip`).
+3.  A `.zip` archive will be created (e.g., `aInventory-PROD-v1.7.0.zip`).
 4.  A backup branch `v.1.3.x` will be created automatically.
 
 ---

USER_GUIDE.md

@@ -19,7 +19,7 @@ The application is a **Progressive Web App**, which means you don't need to down
 
 - **Default User:** On first installation, use `Admin` / `<initial-password>` (check your system administrator for the initial password).
 - **Change Password:** We recommend changing your password immediately from the Admin settings.
-- **LDAP/Enterprise Login:** If your administrator has configured LDAP integration, you can log in with your company/domain account. The application will cache your password locally to allow offline access (e.g., in areas without signal like basements).
+- **LDAP/Enterprise Login:** If your administrator has configured LDAP integration, you can log in with your company/domain account. The application will securely cache a **cryptographic hash** of your credentials (using PBKDF2) to allow offline access (e.g., in areas without signal like basements). **Note: Your actual password is NEVER stored in plain text on the local device.**
 - **JWT Tokens:** Your login session is secured with JWT bearer tokens that expire after 8 hours. You will be automatically logged out when your token expires.
 
 ---
@@ -33,11 +33,12 @@ Scan an existing barcode to locate or update an item in your inventory.
 
 If no readable text is found, the scanner silently retries on the next cycle.
 
-### Box & Container Scanning (NEW v1.5.0)
+### Box & Container Scanning (NEW v1.6.0)
-You can now scan a generic label on a box (e.g., "SFP Box 1") to identify all its contents at once.
+You can now manage containers more efficiently with two specialized methods:
-- If the box contains **one type of item**, the application takes you directly to the stock adjustment screen.
+
-- If the box contains **multiple items**, a list will appear for you to select which specific item you are withdrawing or adding.
+- **AI Box Discovery**: When adding a new container through **AI Discovery**, use the **"Box / Container"** toggle. Gemini will focus exclusively on the container's name, ignoring technical noise on labels.
-- This feature works **locally and offline** - no AI costs for scanning boxes.
+- **Targeted Field Scanning**: In the **Edit Item** modal, tap the small **Camera icon** next to the "Box / Container Label" field. The scanner will capture the next physical label directly into the text field.
+- **Automatic Matching**: In the main scanner, scanning a box identifies all its contents. Scanning a box and then an item will suggest linking them together if they aren't already matched.
 
 ---
 
@@ -140,5 +141,5 @@ For detailed technical documentation, see the [Project Architecture](../PROJECT_
 
 ---
 
-**Version:** v1.5.0
+**Version:** v1.7.0
 **Last Updated:** 2026-04-12

VERSION.json

@@ -1,12 +1,5 @@
 {
-  "version": "1.5.0",
+  "version": "1.7.0",
-  "last_build": "2026-04-12-2130",
+  "last_build": "2026-04-12-2224",
-  "commit": "HEAD",
+  "codename": "GitGuard"
-  "changelog": [
-    "v1.5.0: Box Management System - Local OCR box scanning, Selection modals, and Dependency-free Label Printing (Barcode/QR)",
-    "v1.4.0: Final Audit Dashboard (Phase 6), LDAP UI Restoration, environment path fixes for macOS",
-    "v1.3.9: Maintenance and structural updates",
-    "v1.3.8: Remove .npx_cache/ and scratch/npm_cache/ from git tracking (3350 files purged from index)",
-    "v1.3.7: Security hardening — expanded .gitignore, removed ldap_config.json from tracking, added example files"
-  ]
 }

backend/ai_vision.py

@@ -7,36 +7,55 @@ base_dir = os.path.dirname(os.path.abspath(__file__))
 dotenv_path = os.path.join(base_dir, ".env")
 load_dotenv(dotenv_path)
 
-def extract_label_info(image_bytes: bytes):
+def extract_label_info(image_bytes: bytes, mode: str = "item"):
     """
     Orchestrates extraction across multiple AI providers.
-    Order: Gemini (Flash/Pro) -> Claude (Haiku/Sonnet)
+    Modes: 'item' (full technical extraction), 'box' (container discovery)
-    """
-    prompt = """
-    Extract technical inventory information from this label image.
-    
-    CRITICAL INSTRUCTIONS:
-    1. Look at the most prominent text (usually top 1-2 rows). This is the product NAME and MODEL.
-    2. Extract the PART NUMBER (P/N, Model No, Type). If no explicit Part Number is found, synthesize one from the most unique identifier in the header (e.g. 'OM4-MMF-DX').
-    3. Separate the COLOR (e.g. Turquoise, Yellow, Black).
-    4. Extract CATEGORY based on the item type (e.g. Patchcord, SFP, Connector).
-    5. Extract technical SPECS (e.g. '2.0mm', '10G', '850nm').
-    
-    Return ONLY a valid JSON object:
-    {
-      "name": "Full descriptive name from header",
-      "part_number": "Unique identifier for fast scanning",
-      "category": "Broad category",
-      "color": "Color if present",
-      "specs": "Brief tech specs list",
-      "barcode": "Barcode value if visible",
-      "quantity": 1
-    }
     """
+    if mode == "box":
+        prompt = """
+        Identify the CONTAINER or BOX name from this image.
+        Look for large, prominent, bold, or hand-written text that identifies a storage unit.
+        Ignore small technical details, quantities, or fine print.
+        
+        Return ONLY a valid JSON object:
+        {
+          "box_label": "The identified container name",
+          "name": "Same as box_label",
+          "category": "Storage",
+          "specs": "Brief description if useful",
+          "quantity": 1
+        }
+        """
+    else:
+        prompt = """
+        Extract technical inventory information from this label image.
+        
+        CRITICAL INSTRUCTIONS:
+        1. Look at the most prominent text (usually top 1-2 rows). This is the product NAME and MODEL.
+        2. Extract the PART NUMBER (P/N, Model No, Type). If no explicit Part Number is found, synthesize one from the most unique identifier in the header (e.g. 'OM4-MMF-DX').
+        3. Separate the COLOR (e.g. Turquoise, Yellow, Black).
+        4. Extract CATEGORY based on the item type (e.g. Patchcord, SFP, Connector).
+        5. Extract technical SPECS (e.g. '2.0mm', '10G', '850nm').
+        
+        Return ONLY a valid JSON object:
+        {
+          "name": "Full descriptive name from header",
+          "part_number": "Unique identifier for fast scanning",
+          "category": "Broad category",
+          "color": "Color if present",
+          "specs": "Brief tech specs list",
+          "barcode": "Barcode value if visible",
+          "quantity": 1
+        }
+        """
     
     # 1. Try Gemini
     result = gemini.extract(image_bytes, prompt)
     if result:
+        # Maintenance: Ensure fields are mapped if mode was box
+        if mode == "box" and "box_label" in result and "name" not in result:
+             result["name"] = result["box_label"]
         return result
         
     # 2. Try Claude (Fallback)

backend/routers/items.py

@@ -66,6 +66,7 @@ _MAX_IMAGE_SIZE = 10 * 1024 * 1024  # 10 MB
 async def extract_label(
     request: Request,
     file: UploadFile = File(...),
+    mode: str = "item", # 'item' or 'box'
     current_user: auth.TokenData = Depends(auth.get_current_user)
 ):
     """[C-01] Extract label from image — only for authenticated users. [H-02] Rate limit: 10 req/min per IP."""
@@ -86,7 +87,7 @@ async def extract_label(
             detail="File exceeds 10MB limit."
         )
 
-    result = extract_label_info(contents)
+    result = extract_label_info(contents, mode=mode)
     return result
 
 @router.post("/", response_model=schemas.Item, status_code=status.HTTP_201_CREATED)

dev_docs/SESSION_STATE.md

@@ -2,12 +2,12 @@
 
 **Active AI:** Gemini (Antigravity)
 **Last Updated:** 2026-04-12
-**Current Version:** v1.4.0
+**Current Version:** v1.6.0 (BoxMaster)
 **Branch:** dev
 
 ---
 
-## STATUS: 🟢 STABLE — BOX MANAGEMENT & LABEL PRINTING COMPLETE (v1.5.0)
+## 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`.
 
@@ -30,10 +30,16 @@
 - **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 Excellence
+### 4. UI/UX: Targeted Field Scanning
-- **Search Integration** — Integrated `box_label` into the global search filter.
+- **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.
-- **Onboarding Support** — Added Box Label association to the AI-powered onboarding workflow with smart `datalist` suggestions.
+
-- **Visual Polish** — Applied Lucide `Package` iconography and consistent branding to the new modules.
+### 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.
 
 ---
 
@@ -51,7 +57,10 @@
 
 **Active database:** `<project_root>/data/inventory.db`
 **LDAP config:** `backend/config/ldap_config.json`
-**Production Bundle:** `aInventory-PROD-v1.4.0.zip` (Clean)
+**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

frontend/app/inventory/page.tsx

@@ -1,9 +1,10 @@
 'use client';
 
-import { useState, useEffect } from 'react';
+import { useState, useEffect, useCallback } from 'react';
 import { db, Item } from '@/lib/db';
 import { inventoryApi } from '@/lib/api';
 import PageShell from '@/components/PageShell';
+import Scanner from '@/components/Scanner';
 import { toast } from 'react-hot-toast';
 import { 
   Package, 
@@ -17,7 +18,8 @@ import {
   X,
   AlertTriangle,
   Tag,
-  Edit2
+  Edit2,
+  Camera
 } from 'lucide-react';
 import { clsx, type ClassValue } from 'clsx';
 import { twMerge } from 'tailwind-merge';
@@ -50,6 +52,10 @@ export default function InventoryPage() {
   const [catEditedName, setCatEditedName] = useState('');
   const [catEditedDesc, setCatEditedDesc] = useState('');
 
+  // Scanner state
+  const [showScanner, setShowScanner] = useState(false);
+  const [fieldScanning, setFieldScanning] = useState<{ active: boolean, field: string } | null>(null);
+
   useEffect(() => {
     setMounted(true);
     const savedUser = localStorage.getItem('inventory_user');
@@ -182,6 +188,31 @@ export default function InventoryPage() {
     }
   };
 
+  const onOCRMatch = useCallback(async (text: string) => {
+    const cleanText = text.toUpperCase().replace(/[^A-Z0-9\s/+-]/g, ' ');
+    const tokens = cleanText.split(/[\s\n,]+/).filter(t => t.length >= 3);
+    
+    if (fieldScanning?.active && fieldScanning.field === 'box_label') {
+      const label = tokens[0] || cleanText;
+      setEditedItem(prev => ({ ...prev, box_label: label }));
+      setFieldScanning(null);
+      setShowScanner(false);
+      toast.success(`Captured: ${label}`);
+      return;
+    }
+  }, [fieldScanning]);
+
+  const onScanSuccess = useCallback((barcode: string) => {
+    // Inventory page doesn't do check-in via scanner, it just finds the item
+    const item = inventory.find(i => i.barcode === barcode);
+    if (item) {
+      setSelectedItem(item);
+      setShowScanner(false);
+    } else {
+      toast.error(`Item with barcode ${barcode} not found in catalog`);
+    }
+  }, [inventory]);
+
   // Group items by category
   const categories = Array.from(new Set(inventory.map(i => i.category)));
   const filteredCategories = categories.filter(c => 
@@ -189,8 +220,9 @@ export default function InventoryPage() {
     inventory.some(i => i.category === c && i.name.toLowerCase().includes(searchQuery.toLowerCase()))
   );
 
-  // Extract unique item types for suggestions
+  // Extract unique item types and box labels for suggestions
   const existingTypes = Array.from(new Set(inventory.map(i => i.type).filter(Boolean))).sort() as string[];
+  const existingBoxes = Array.from(new Set(inventory.map(i => i.box_label).filter(Boolean))).sort() as string[];
 
   if (!mounted) return null;
 
@@ -200,6 +232,9 @@ export default function InventoryPage() {
       <datalist id="existing-types">
         {existingTypes.map(t => <option key={t} value={t} />)}
       </datalist>
+      <datalist id="existing-boxes">
+        {existingBoxes.map(b => <option key={b} value={b} />)}
+      </datalist>
       
       <header className="flex items-center gap-5 mb-10">
         <div className="p-4 bg-primary/10 rounded-[2rem] text-primary border border-primary/20 shadow-xl shadow-primary/5">
@@ -412,6 +447,33 @@ export default function InventoryPage() {
                         className="w-full bg-slate-950 border border-slate-800 rounded-xl py-3 px-4 text-sm outline-none text-slate-100"
                       />
                     </div>
+                    <div className="col-span-2">
+                       <label className="text-xs font-black text-slate-500 ml-1">Box / Container Label</label>
+                       <div className="relative flex items-center">
+                         <input 
+                           type="text" 
+                           list="existing-boxes"
+                           value={editedItem.box_label || ''} 
+                           onChange={e => setEditedItem({...editedItem, box_label: e.target.value})}
+                           className="w-full bg-slate-950 border border-slate-800 rounded-xl py-3 pl-4 pr-12 text-sm outline-none text-slate-100 placeholder:text-slate-700 focus:border-primary transition-colors"
+                           placeholder="e.g. SFPs 40G Cisco"
+                         />
+                         <button 
+                           type="button"
+                           onClick={() => {
+                             setFieldScanning({ active: true, field: 'box_label' });
+                             setShowScanner(true);
+                             toast.success("Ready to scan Box label...");
+                           }}
+                           className={cn(
+                             "absolute right-2 p-2 rounded-lg transition-all",
+                             fieldScanning?.active ? "bg-primary text-white animate-pulse" : "text-slate-500 hover:bg-slate-800"
+                           )}
+                         >
+                           <Camera size={18} />
+                         </button>
+                       </div>
+                    </div>
                   </div>
                   <div>
                     <label className="text-xs font-black text-slate-500 ml-1">Specs / Comments</label>
@@ -542,6 +604,13 @@ export default function InventoryPage() {
         </div>
       )}
 
+      {showScanner && (
+        <Scanner 
+          onScanSuccess={onScanSuccess} 
+          onOCRMatch={onOCRMatch} 
+        />
+      )}
+
       </div>
     </PageShell>
   );

frontend/app/page.tsx

@@ -10,6 +10,7 @@ import PageShell from '@/components/PageShell';
 import { toast } from 'react-hot-toast';
 import {
   Package,
+  Camera,
   Plus,
   Minus,
   Trash2,
@@ -80,6 +81,7 @@ export default function Home() {
   const [syncing, setSyncing] = useState(false);
   const [currentUser, setCurrentUser] = useState<any | null>(null);
   const [categories, setCategories] = useState<any[]>([]);
+  const [fieldScanning, setFieldScanning] = useState<{ active: boolean, field: string } | null>(null);
 
   useEffect(() => {
     if (!localStorage.getItem('inventory_token')) {
@@ -240,6 +242,17 @@ export default function Home() {
 
     if (tokens.length === 0) return;
 
+    // [NEW] Targeted Field Scan Logic
+    if (fieldScanning?.active) {
+      if (fieldScanning.field === 'box_label') {
+        const potentialLabel = tokens[0] || cleanText;
+        setEditedItem(prev => ({ ...prev, box_label: potentialLabel }));
+        setFieldScanning(null);
+        toast.success(`Captured: ${potentialLabel}`);
+        return;
+      }
+    }
+
     // Toast only potentially useful scans
     toast(`Scanning: ${cleanText.substring(0, 30)}...`, { icon: '🔍', duration: 1500, id: 'ocr-scan' });
 
@@ -662,14 +675,30 @@ export default function Home() {
                     </div>
                     <div className="col-span-2">
                        <label className="text-xs font-black text-slate-500 ml-1">Box / Container Label</label>
-                       <input 
+                       <div className="relative flex items-center">
-                         type="text" 
+                         <input 
-                         list="existing-boxes"
+                           type="text" 
-                         value={editedItem.box_label || ''} 
+                           list="existing-boxes"
-                         onChange={e => setEditedItem({...editedItem, box_label: e.target.value})}
+                           value={editedItem.box_label || ''} 
-                         className="w-full bg-slate-950 border border-slate-800 rounded-xl py-3 px-4 text-sm outline-none text-slate-100"
+                           onChange={e => setEditedItem({...editedItem, box_label: e.target.value})}
-                         placeholder="e.g. SFPs 40G Cisco"
+                           className="w-full bg-slate-950 border border-slate-800 rounded-xl py-3 pl-4 pr-12 text-sm outline-none text-slate-100 placeholder:text-slate-700 focus:border-primary transition-colors"
-                       />
+                           placeholder="e.g. SFPs 40G Cisco"
+                         />
+                         <button 
+                           type="button"
+                           onClick={() => {
+                             setFieldScanning({ active: true, field: 'box_label' });
+                             setShowScanner(true);
+                             toast.success("Scanning for BOX label...");
+                           }}
+                           className={cn(
+                             "absolute right-2 p-2 rounded-lg transition-all",
+                             fieldScanning?.active ? "bg-primary text-white animate-pulse" : "text-slate-500 hover:bg-slate-800"
+                           )}
+                         >
+                           <Camera size={18} />
+                         </button>
+                       </div>
                     </div>
                     <div className="col-span-2">
                       <label className="text-xs font-black text-slate-500 ml-1">Specs</label>

frontend/components/AIOnboarding.tsx

@@ -16,6 +16,7 @@ export default function AIOnboarding({ onCancel, onComplete, categories, invento
   const [image, setImage] = useState<string | null>(null);
   const [uploading, setUploading] = useState(false);
   const [extractedData, setExtractedData] = useState<any>(null);
+  const [mode, setMode] = useState<'item' | 'box'>('item');
 
   // Extract unique item types for suggestions
   const existingTypes = Array.from(new Set(inventory.map(i => i.type).filter(Boolean))).sort() as string[];
@@ -42,7 +43,7 @@ export default function AIOnboarding({ onCancel, onComplete, categories, invento
       const formData = new FormData();
       formData.append('file', blob, 'label.jpg');
 
-      const data = await inventoryApi.analyzeLabel(formData);
+      const data = await inventoryApi.analyzeLabel(formData, mode);
 
       if (data.error) {
         toast.error(`AI Error: ${data.error}`);
@@ -51,7 +52,11 @@ export default function AIOnboarding({ onCancel, onComplete, categories, invento
       }
 
       setExtractedData(data);
-      toast.success("AI extraction complete!");
+      if (mode === 'box') {
+        toast.success(`Box identified: ${data.box_label || data.name}`);
+      } else {
+        toast.success("AI extraction complete!");
+      }
     } catch (error) {
       toast.error("Failed to process image with AI");
       console.error(error);
@@ -97,13 +102,34 @@ export default function AIOnboarding({ onCancel, onComplete, categories, invento
 
       {!image ? (
         <div className="flex-1 flex flex-col gap-6 min-h-0">
+          <div className="flex bg-slate-900/50 p-1.5 rounded-2xl border border-slate-800/50 shrink-0">
+            <button 
+              onClick={() => setMode('item')}
+              className={`flex-1 flex items-center justify-center gap-2 py-3 rounded-xl font-bold transition-all ${mode === 'item' ? 'bg-primary text-white shadow-lg' : 'text-slate-500 hover:text-slate-300'}`}
+            >
+              <Package size={18} />
+              <span className="text-xs">Item Label</span>
+            </button>
+            <button 
+              onClick={() => setMode('box')}
+              className={`flex-1 flex items-center justify-center gap-2 py-3 rounded-xl font-bold transition-all ${mode === 'box' ? 'bg-primary text-white shadow-lg' : 'text-slate-500 hover:text-slate-300'}`}
+            >
+              <Layers size={18} />
+              <span className="text-xs">Box / Container</span>
+            </button>
+          </div>
+
           <div className="flex-1 flex flex-col items-center justify-center border-2 border-dashed border-slate-800 rounded-[2.5rem] bg-slate-900/30 overflow-hidden px-4">
             <div className="w-20 h-20 bg-slate-900 rounded-3xl flex items-center justify-center mb-6 shadow-inner">
-               <Camera size={32} className="text-slate-500" />
+               <Camera size={32} className={mode === 'box' ? 'text-primary' : 'text-slate-500'} />
             </div>
-            <p className="text-slate-300 mb-2 text-center font-bold">Label Insight Mode</p>
+            <p className="text-slate-300 mb-2 text-center font-bold">
+              {mode === 'box' ? 'Container Discovery Mode' : 'Label Insight Mode'}
+            </p>
             <p className="text-xs text-slate-500 px-8 text-center leading-relaxed font-bold">
-              Scan or upload a sharp photo of the item specifications
+              {mode === 'box' 
+                ? 'Scan the large, prominent label or hand-written name on the container'
+                : 'Scan or upload a sharp photo of the item specifications'}
             </p>
           </div>
 

frontend/components/Scanner.tsx

@@ -25,6 +25,7 @@ export default function Scanner({ onScanSuccess, onOCRMatch, paused }: ScannerPr
   const [isSelecting, setIsSelecting] = useState(false);
   const [capturedImage, setCapturedImage] = useState<string | null>(null);
   const isBusy = useRef(false);
+  const isTransitioning = useRef(false); // Flag to track start/stop transitions
   const scannerId = "reader-container-unique";
 
   useEffect(() => {
@@ -33,11 +34,20 @@ export default function Scanner({ onScanSuccess, onOCRMatch, paused }: ScannerPr
     }
 
     const startScanner = async () => {
-      if (isBusy.current) return;
+      if (isBusy.current || isTransitioning.current) return;
       isBusy.current = true;
+      isTransitioning.current = true;
+
       try {
+        // If already scanning, we MUST stop it first
         if (html5QrCodeRef.current?.isScanning) {
-            await html5QrCodeRef.current.stop();
+            try {
+              await html5QrCodeRef.current.stop();
+            } catch (e) {
+              console.warn("Graceful stop failed, might be in transition:", e);
+              // If it's already in transition, we just return and wait for the next effect trigger
+              return;
+            }
         }
 
         const config = { 
@@ -85,6 +95,7 @@ export default function Scanner({ onScanSuccess, onOCRMatch, paused }: ScannerPr
         }
       } finally {
         isBusy.current = false;
+        isTransitioning.current = false;
       }
     };
 
@@ -94,11 +105,15 @@ export default function Scanner({ onScanSuccess, onOCRMatch, paused }: ScannerPr
 
     return () => {
       if (html5QrCodeRef.current?.isScanning) {
+        isTransitioning.current = true;
         html5QrCodeRef.current.stop()
             .then(() => {
                 setIsStarted(false);
             })
-            .catch(e => console.error("Stop failed", e));
+            .catch(e => console.error("Unmount stop failed", e))
+            .finally(() => {
+                isTransitioning.current = false;
+            });
       }
     };
   }, [paused, onScanSuccess]);

frontend/lib/api.ts

@@ -75,8 +75,8 @@ export const inventoryApi = {
     }
   },
 
-  analyzeLabel: async (formData: FormData) => {
+  analyzeLabel: async (formData: FormData, mode: string = "item") => {
-    const res = await axiosInstance.post('/items/extract-label', formData, {
+    const res = await axiosInstance.post(`/items/extract-label?mode=${mode}`, formData, {
       headers: { 'Content-Type': 'multipart/form-data' }
     });
     return res.data;

scripts/save_version.py

@@ -24,7 +24,7 @@ def run_command(cmd):
 def main():
     git = get_git_path()
     
-    # 1. Read and Increment Version
+    # 1. Read and Parse Version
     if not os.path.exists(VERSION_FILE):
         print(f"Error: {VERSION_FILE} not found.")
         sys.exit(1)
@@ -34,10 +34,20 @@ def main():
         
     old_version = data.get('version', '1.0.0')
     parts = old_version.split('.')
-    if len(parts) == 3:
+    if len(parts) < 3:
-        parts[2] = str(int(parts[2]) + 1)
+        parts.extend(['0'] * (3 - len(parts)))
+    
+    # Check for --minor or --major flags
+    if '--minor' in sys.argv:
+        parts[1] = str(int(parts[1]) + 1)
+        parts[2] = '0'
+    elif '--major' in sys.argv:
+        parts[0] = str(int(parts[0]) + 1)
+        parts[1] = '0'
+        parts[2] = '0'
     else:
-        parts.append('1')
+        # Default: patch increment
+        parts[2] = str(int(parts[2]) + 1)
     
     new_version = '.'.join(parts)
     data['version'] = new_version