tfm_ainventory/dev_docs/SESSION_STATE.md

CURRENT AI WORKING SESSION — HANDOVER

Active AI: Gemini (Antigravity) Last Updated: 2026-04-11 Current Version: v1.3.5 (pending bump to v1.3.6) Branch: dev

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STATUS: 🟢 STABLE — READY FOR VERSION SAVE

All UI/UX refinements from this session have been applied. The login loop (from previous Claude session) is confirmed fixed. The scanner has been fully redesigned. Documentation is up to date.

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WHAT WAS DONE THIS SESSION

1. Scanner UI Redesign (frontend/components/Scanner.tsx)

• Layout: Moved all controls OUT of the camera viewport overlay. Camera feed is now 100% unobstructed.
• Automated OCR: Removed manual "OCR SCAN" button. OCR now runs automatically on a 4-second cycle.
• Visual Countdown: Added a countdown display (4, 3, 2, 1, Scan) with a progress bar so the user can see the next scan timing.
• Scan-line animation: Now only active when isStarted && !isSelecting && !paused.
• Typography: Removed all uppercase and tracking-widest styles per AI_RULES.md Section 3.
• Silent failures: Auto-OCR no longer shows toast errors if no text is found (silently retries on next cycle).

2. Item Type Datalist (AIOnboarding.tsx, page.tsx, inventory/page.tsx)

• Added a searchable <datalist> to the Item Type field across all relevant forms.
• Dynamically populated with existing unique types from the DB, while still allowing manual free-text input.

3. save-version Automation Command

• Created scripts/save_version.py — increments patch version in VERSION.json, commits all changes, creates a snapshot branch v.X.Y.Z, and generates the production ZIP via ./export_prod.sh.
• Registered as an official AI Command Shortcut in AI_RULES.md Section 6.

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WHAT THE NEXT AI MUST DO

1. Run save-version to finalize version 1.3.6 if not already done.
2. Monitor TypeScript warnings as the Item interface in frontend/lib/db.ts may be missing fields.
3. If the Item Type datalist grows too large, consider a dedicated "Category/Type Management" settings page.
4. Periodically review dev_docs/SECURITY_REPORT.md.

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SYSTEM STATE

Active database: <project_root>/data/inventory.db LDAP config: backend/config/ldap_config.json

{"ldap_enabled": true, "server_uri": "ldap://192.168.84.107:3890", "base_dn": "dc=example,dc=com", "user_template": "cn={username},ou=people,dc=example,dc=com", "groups_dn": "ou=groups", "use_tls": false, "role_mappings": [{"group": "inventory_admins", "role": "admin"}, {"group": "inventory_users", "role": "user"}]}

How to start:

./start_server.sh

• Frontend: https://<LOCAL_IP>:3003
• Backend: http://localhost:8000 direct

Environment variables set by start_server.sh:

• ALLOWED_ORIGINS — auto-detected from local IP
• DATA_DIR — absolute path to <project_root>/data/
• LOGS_DIR — absolute path to <project_root>/logs/
• JWT_SECRET_KEY — ephemeral per-run if not set externally

This session applied the 3 frontend fixes for the login redirect loop. The server was NOT restarted and the login flow was NOT tested. The next AI must test and confirm — or continue debugging if the loop persists.

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WHAT WAS DONE THIS SESSION

1. frontend/lib/api.ts — Lazy baseURL (Fix 1)

axiosInstance no longer receives baseURL at creation. getBackendUrl() is now called inside the request interceptor, at request time, so SSR can no longer lock it to http://localhost:8000.

// BEFORE (broken):
const axiosInstance = axios.create({ baseURL: getBackendUrl() });

// AFTER (fixed):
const axiosInstance = axios.create({});
axiosInstance.interceptors.request.use((config) => {
  if (!config.baseURL) config.baseURL = getBackendUrl();
  const token = getToken();
  if (token) config.headers.Authorization = `Bearer ${token}`;
  return config;
});

2. frontend/lib/api.ts — 401 interceptor guard (Fix 2)

// BEFORE (broken — infinite loop):
if (typeof window !== 'undefined') {
  window.location.href = '/login';
}

// AFTER (fixed):
if (typeof window !== 'undefined' && !window.location.pathname.includes('/login')) {
  window.location.href = '/login';
}

3. frontend/app/page.tsx — Token guard on both useEffect hooks (Fix 3)

Added if (!localStorage.getItem('inventory_token')) { window.location.href = '/login'; return; } at the top of BOTH useEffect hooks — the first one (calls getCategories) and the second one (calls loadInventory).

4. Debug cleanup

• frontend/lib/auth.ts — removed console.log('[Auth] saveToken...') statements
• frontend/app/login/page.tsx — removed console.log('[LoginPage]...') statements + unused memo import

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WHAT THE NEXT AI MUST DO

1. Restart the server: ./start_server.sh
2. Open https://192.168.84.140:3003/login in browser
3. Log in with LDAP user bede
4. Verify: main page loads and STAYS — no redirect back to /login
5. Verify: localStorage.getItem('inventory_token') is non-null after login
6. If loop persists: check browser Network tab for which API endpoint returns 401 first — there may be other API calls in child components (PageShell, Scanner, etc.) that fire before the token guard

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KNOWN PRE-EXISTING ISSUES (not introduced by this session)

TypeScript errors in frontend/app/page.tsx:

• Line 241: Property 'serial_number' does not exist on type 'Item'
• Lines 598-599: Property 'type' does not exist on type 'Partial<Item>'

These are separate bugs — Item type in frontend/lib/db.ts is missing fields that the UI uses. Fix separately from the login issue.

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SYSTEM STATE

Active database: <project_root>/data/inventory.db LDAP config: backend/config/ldap_config.json

{"ldap_enabled": true, "server_uri": "ldap://192.168.84.107:3890", "base_dn": "dc=example,dc=com", "user_template": "cn={username},ou=people,dc=example,dc=com", "groups_dn": "ou=groups", "use_tls": false, "role_mappings": [{"group": "inventory_admins", "role": "admin"}, {"group": "inventory_users", "role": "user"}]}

How to start:

./start_server.sh

• Frontend: https://<LOCAL_IP>:3003
• Backend: https://<LOCAL_IP>:3002 (also http://localhost:8000 direct)

Environment variables set by start_server.sh:

• ALLOWED_ORIGINS — auto-detected from local IP (includes both HTTP and HTTPS variants)
• DATA_DIR — absolute path to <project_root>/data/
• LOGS_DIR — absolute path to <project_root>/logs/
• JWT_SECRET_KEY — ephemeral per-run if not set externally (means tokens invalidated on restart)