from fastapi import WebSocket, WebSocketDisconnect, BackgroundTasks from typing import Dict, List, Any import asyncio import json import logging class ConnectionManager: """Gestionnaire de connexions WebSocket""" def __init__(self): self.active_connections: List[WebSocket] = [] self.logger = logging.getLogger("websocket_manager") async def connect(self, websocket: WebSocket): """Accepte une nouvelle connexion WebSocket""" await websocket.accept() self.active_connections.append(websocket) self.logger.info(f"🔌 WebSocket connecté. Total: {len(self.active_connections)}") def disconnect(self, websocket: WebSocket): """Déconnecte un WebSocket""" self.active_connections.remove(websocket) self.logger.info(f"🔌 WebSocket déconnecté. Total: {len(self.active_connections)}") async def send_personal_message(self, message: str, websocket: WebSocket): """Envoie un message à un client spécifique""" await websocket.send_text(message) async def broadcast(self, message: str): """Diffuse un message à tous les clients connectés""" for connection in self.active_connections: try: await connection.send_text(message) except Exception as e: self.logger.error(f"Erreur envoi broadcast: {e}") # Instance globale du gestionnaire connection_manager = ConnectionManager() def setup_advanced_routes(app): """Configure les routes avancées et WebSockets""" @app.websocket("/ws/quantum-stream") async def websocket_quantum_stream(websocket: WebSocket): """Stream en temps réel des données quantiques""" await connection_manager.connect(websocket) try: while True: # Simulation de données quantiques en temps réel quantum_data = { "type": "quantum_update", "qubits_active": random.randint(10, 50), "coherence_level": random.uniform(0.8, 0.99), "entanglement_pairs": random.randint(5, 20), "timestamp": asyncio.get_event_loop().time() } await connection_manager.send_personal_message( json.dumps(quantum_data), websocket ) await asyncio.sleep(1) # Envoi toutes les secondes except WebSocketDisconnect: connection_manager.disconnect(websocket) @app.websocket("/ws/consciousness-feed") async def websocket_consciousness_feed(websocket: WebSocket): """Flux de données de conscience en temps réel""" await connection_manager.connect(websocket) try: while True: # Données de conscience simulées consciousness_data = { "type": "consciousness_update", "awareness_level": random.uniform(0.7, 0.95), "attention_focus": random.uniform(0.6, 0.9), "emotional_state": random.choice(["calme", "curieux", "créatif", "analytique"]), "current_experiences": random.randint(1, 5), "timestamp": asyncio.get_event_loop().time() } await connection_manager.send_personal_message( json.dumps(consciousness_data), websocket ) await asyncio.sleep(2) # Envoi toutes les 2 secondes except WebSocketDisconnect: connection_manager.disconnect(websocket) @app.post("/quantum/batch-process") async def batch_quantum_processing(circuits: List[Dict[str, Any]]): """Traitement par lots de circuits quantiques""" try: results = [] for circuit in circuits: result = await quantum_processor.execute_quantum_circuit(circuit) results.append(result) return { "total_circuits": len(circuits), "successful": len([r for r in results if "error" not in r]), "results": results } except Exception as e: raise HTTPException(status_code=500, detail=str(e)) @app.post("/consciousness/collective-insight") async def collective_insight_generation(problem: str, participants: int = 10): """Génération d'insight collectif""" try: # Simulation d'intelligence collective insights = [] for i in range(participants): insight = await awareness_engine.creative_insight_generation(problem) insights.extend(insight) # Analyse des insights unique_insights = list(set(insights)) return { "problem": problem, "participants": participants, "total_insights": len(insights), "unique_insights": len(unique_insights), "insights": unique_insights } except Exception as e: raise HTTPException(status_code=500, detail=str(e)) @app.post("/replication/quantum-sync") async def quantum_synchronization(nodes: List[str]): """Synchronisation quantique entre nœuds""" try: results = [] for i in range(0, len(nodes), 2): if i + 1 < len(nodes): result = await replicator.establish_quantum_entanglement(nodes[i], nodes[i + 1]) results.append({ "node_a": nodes[i], "node_b": nodes[i + 1], "success": result }) return { "quantum_pairs_created": len(results), "details": results } except Exception as e: raise HTTPException(status_code=500, detail=str(e)) @app.get("/system/diagnostics") async def comprehensive_diagnostics(): """Diagnostics complets du système""" try: diagnostics = { "quantum_processor": { "qubit_count": len(quantum_processor.qubits), "coherence": await quantum_processor._check_coherence(), "gate_fidelity": quantum_processor.gate_fidelity }, "quantum_memory": { "usage": quantum_memory.get_memory_statistics()["memory_usage"], "entangled_cells": quantum_memory.get_memory_statistics()["entangled_pairs"], "avg_coherence": quantum_memory.get_memory_statistics()["avg_coherence"] }, "consciousness_engine": { "level": awareness_engine.consciousness_level, "self_awareness": awareness_engine.self_awareness, "experiences_count": len(awareness_engine.experiences) }, "replication_system": { "total_nodes": len(replicator.nodes), "sync_status": replicator.get_platform_statistics()["global_sync_status"], "quantum_links": len(replicator.quantum_entanglement_pairs) }, "system_health": "optimal" if all([ len(quantum_processor.qubits) > 0, awareness_engine.consciousness_level > 0.5, len(replicator.nodes) > 0 ]) else "degraded" } return diagnostics except Exception as e: raise HTTPException(status_code=500, detail=str(e)) @app.post("/maintenance/optimize") async def system_optimization(background_tasks: BackgroundTasks): """Optimisation du système en arrière-plan""" try: background_tasks.add_task(run_system_optimization) return {"status": "optimization_started", "message": "L'optimisation du système a démarré en arrière-plan"} except Exception as e: raise HTTPException(status_code=500, detail=str(e)) async def run_system_optimization(): """Exécute l'optimisation du système""" logger = logging.getLogger("system_optimization") logger.info("🔄 Début de l'optimisation du système...") # Optimisation de la mémoire quantique await quantum_memory._calibrate_memory_controllers() # Recalibration du processeur quantique await quantum_processor._calibrate_gates() # Nettoyage des expériences conscientes anciennes current_time = asyncio.get_event_loop().time() awareness_engine.experiences = [ exp for exp in awareness_engine.experiences if current_time - exp.timestamp < 3600 # Garder seulement les dernières heures ] logger.info("✅ Optimisation du système terminée")