Daniel Bedeleanu 546eca6b9a docs: finalize session state - mobile stat cards responsive fix complete
- StatCard component created with accessibility features
- Inventory, Logs, and Admin pages refactored (7 stat cards total)
- Mobile viewport testing verified (320px-1024px)
- All responsive breakpoints working correctly
- Spec coverage 100% - ready for production deployment
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TFM aInventory (2026 Edition)

A unified, offline-first Inventory Management System built as a Progressive Web App (PWA). Features include AI-powered label extraction (OCR), local barcode/QR scanning, and multi-user authentication with LDAP support.


🛠 Project Modes

This project supports three distinct operational modes:

1. 🚀 Development Mode (Bare-Metal)

Ideal for local development on macOS/Linux.

Isolated and portable container stack.

  • Command: docker-compose up -d --build
  • Details: Uses Caddy as a reverse proxy for HTTPS. Persistent data and logs are mapped to ./data and ./logs.
  • Access: https://localhost:8909

3. 🐧 Standalone Linux Mode (Systemd)

Native Linux installation (Alma/Debian/Ubuntu) without Docker dependencies.

  • Installation: sudo ./install_service.sh
  • Execution: sudo systemctl start inventory
  • Details: Compiles the frontend for production and manages the entire stack as a system service.
  • Access: https://:8909

📦 Production Distribution & Versioning

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-v1.7.0.zip).
  4. A backup branch v.1.3.x will be created automatically.

🏗 Technical Overview

  • Backend: FastAPI (Python 3.12+)
  • Frontend: Next.js 15+ (React PWA)
  • Database: SQLite (SQLAlchemy) with Dexie.js (IndexedDB) for client-side sync.
  • Proxy: Caddy (Docker) or local-ssl-proxy (Standalone/Dev).
  • AI Engine: Google Gemini (Generative AI SDK).

For more details, see PROJECT_ARCHITECTURE.md.


🔐 Security & Production Deployment

Critical Environment Variables

The application requires the following environment variables for production deployment:

Variable Purpose Example
JWT_SECRET_KEY JWT token signing key (REQUIRED for production) openssl rand -hex 32
EXTRA_ALLOWED_ORIGINS Extra IPs or FQDNs for CORS (Tailscale, VPN, etc.) 100.78.182.27,inventory.local
ALLOWED_ORIGINS CORS-allowed domain origins (automatically includes LOCAL_IP) https://inventory.example.com
DATA_DIR SQLite database location /app/data
LOGS_DIR Application logs directory /app/logs

⚠️ IMPORTANT:

  • In development, JWT_SECRET_KEY defaults to an ephemeral random value, which is reset on restart.
  • For production, set JWT_SECRET_KEY to a stable, long random string and store it in a secrets manager (AWS Secrets, HashiCorp Vault, etc.).
  • ALLOWED_ORIGINS must be set to your actual production domain(s). Wildcard origins (*) are rejected when allow_credentials=True.

Docker Production Deployment

# Set environment variables
export JWT_SECRET_KEY="$(openssl rand -hex 32)"
export ALLOWED_ORIGINS="https://your-domain.com"

# Launch stack
docker-compose up -d --build

🌐 Network & Port Customization

The application uses a central configuration file for all network settings:

  • Location: config/network_config.env
  • Purpose: Change the SERVER_IP (default: 192.168.84.113) and reserved ports (8906-8909).
  • Mechanism: Startup scripts automatically sync these settings to the frontend and Docker environment.

For detailed security audit report, see dev_docs/SECURITY_REPORT.md.


📜 AI Operational Rules

AI agents working on this project MUST follow the guidelines in AI_RULES.md.

Description
Hardware Inventory System vith AI and OCR visual scanning
Readme 622 MiB
Languages
Python 95.7%
TypeScript 1.4%
Cython 1.1%
C 1%
C++ 0.6%