v1.0 - Version stable: multi-PC, détection UI-DETR-1, 3 modes exécution

- Frontend v4 accessible sur réseau local (192.168.1.40)
- Ports ouverts: 3002 (frontend), 5001 (backend), 5004 (dashboard)
- Ollama GPU fonctionnel
- Self-healing interactif
- Dashboard confiance

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

demo_system_cleanup.py

@@ -0,0 +1,77 @@
+#!/usr/bin/env python3
+"""
+Démonstration du système de cleanup
+
+Montre comment le système nettoie proprement toutes les ressources.
+"""
+
+import logging
+import sys
+import time
+from pathlib import Path
+
+# Add current directory to path for imports
+sys.path.insert(0, str(Path(__file__).parent))
+
+from core.system import initialize_system_cleanup, shutdown_system
+
+def main():
+    """Démonstration du cleanup système."""
+    print("🎯 RPA Vision V3 - System Cleanup Demo")
+    print("=" * 50)
+    
+    # Configuration du logging pour voir les détails
+    logging.basicConfig(
+        level=logging.INFO,
+        format='%(asctime)s - %(name)s - %(levelname)s - %(message)s'
+    )
+    
+    print("1. Initializing system with cleanup...")
+    initialize_system_cleanup()
+    
+    print("\n2. System is now running with automatic cleanup...")
+    print("   - Memory managers registered")
+    print("   - GPU resource managers registered") 
+    print("   - Analytics system registered")
+    print("   - Signal handlers installed")
+    
+    print("\n3. Simulating some work...")
+    
+    # Simuler du travail avec les systèmes
+    try:
+        from core.execution.memory_cache import get_memory_manager
+        from core.gpu.gpu_resource_manager import get_gpu_resource_manager
+        
+        # Utiliser le memory manager
+        memory_manager = get_memory_manager(enable_monitoring=False)
+        print(f"   ✓ Memory manager active: {memory_manager.max_memory_mb}MB limit")
+        
+        # Utiliser le GPU manager
+        gpu_manager = get_gpu_resource_manager()
+        status = gpu_manager.get_status()
+        print(f"   ✓ GPU manager active: {status.execution_mode} mode")
+        
+        # Simuler du travail
+        time.sleep(1)
+        
+    except Exception as e:
+        print(f"   ⚠ Some systems not available: {e}")
+    
+    print("\n4. Testing cleanup (Ctrl+C to trigger signal cleanup)...")
+    print("   Press Ctrl+C to see signal-based cleanup in action")
+    print("   Or wait 5 seconds for programmatic cleanup...")
+    
+    try:
+        time.sleep(5)
+        print("\n5. Triggering programmatic cleanup...")
+        shutdown_system()
+        
+    except KeyboardInterrupt:
+        print("\n5. Signal received! Triggering cleanup...")
+        shutdown_system()
+    
+    print("\n✅ Cleanup demo completed!")
+    print("All resources have been properly cleaned up.")
+
+if __name__ == "__main__":
+    main()