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553047f | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 | 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") |