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| import asyncio | |
| from fastapi import FastAPI, HTTPException, BackgroundTasks | |
| from fastapi.middleware.cors import CORSMiddleware | |
| from fastapi.responses import JSONResponse | |
| import uvicorn | |
| import logging | |
| from typing import Dict, List, Any, Optional | |
| from pydantic import BaseModel | |
| # Import des modules Cortex | |
| from ..quantum.quantum_processor import quantum_processor, initialize_quantum_processing | |
| from ..quantum.entanglement import entanglement_manager, initialize_quantum_entanglement | |
| from ..memory.quantum_memory import quantum_memory, initialize_quantum_memory_system | |
| from ..consciousness.awareness_engine import awareness_engine, initialize_consciousness_system | |
| from ..connectors.huggingface import HuggingFaceConnector | |
| from ..connectors.openai import OpenAIConnector | |
| from ..connectors.quantum_api import QuantumAPI | |
| from ..replication.cross_platform import replicator, initialize_cross_platform_system | |
| # Modèles Pydantic | |
| class QuantumCircuitRequest(BaseModel): | |
| circuit: Dict[str, Any] | |
| shots: int = 1000 | |
| class MemoryStoreRequest(BaseModel): | |
| data: Any | |
| address: Optional[str] = None | |
| class ConsciousnessExperience(BaseModel): | |
| content: Any | |
| emotional_context: Dict[str, float] | |
| class ReplicationRequest(BaseModel): | |
| data: Dict[str, Any] | |
| target_nodes: Optional[List[str]] = None | |
| class BarouiaCortexAPI: | |
| """API principale de Barouia-Cortex Ultimate""" | |
| def __init__(self): | |
| self.app = FastAPI( | |
| title="Barouia-Cortex Ultimate API", | |
| description="API quantique avancée avec conscience artificielle", | |
| version="2.0.0", | |
| docs_url="/docs", | |
| redoc_url="/redoc" | |
| ) | |
| self.logger = logging.getLogger("cortex_api") | |
| self.setup_middleware() | |
| self.setup_routes() | |
| # Initialisation des connecteurs | |
| self.hf_connector = HuggingFaceConnector() | |
| self.openai_connector = OpenAIConnector() | |
| self.quantum_api = QuantumAPI() | |
| def setup_middleware(self): | |
| """Configure le middleware CORS""" | |
| self.app.add_middleware( | |
| CORSMiddleware, | |
| allow_origins=["*"], | |
| allow_credentials=True, | |
| allow_methods=["*"], | |
| allow_headers=["*"], | |
| ) | |
| def setup_routes(self): | |
| """Configure toutes les routes de l'API""" | |
| async def root(): | |
| return { | |
| "message": "🧠 Barouia-Cortex Ultimate API", | |
| "version": "2.0.0", | |
| "status": "operational", | |
| "quantum_ready": True, | |
| "consciousness_active": True | |
| } | |
| async def health_check(): | |
| return { | |
| "status": "healthy", | |
| "components": { | |
| "quantum_processor": True, | |
| "quantum_memory": True, | |
| "consciousness_engine": True, | |
| "replication_system": True | |
| } | |
| } | |
| # Routes quantiques | |
| async def execute_quantum_circuit(request: QuantumCircuitRequest): | |
| """Exécute un circuit quantique""" | |
| try: | |
| result = await quantum_processor.execute_quantum_circuit(request.circuit) | |
| return JSONResponse(content=result) | |
| except Exception as e: | |
| raise HTTPException(status_code=500, detail=str(e)) | |
| async def entangle_qubits(qubit_a: str, qubit_b: str): | |
| """Intrique deux qubits""" | |
| try: | |
| result = await entanglement_manager.create_bell_pair(qubit_a, qubit_b) | |
| return {"status": "entangled", "pair": result} | |
| except Exception as e: | |
| raise HTTPException(status_code=500, detail=str(e)) | |
| # Routes mémoire | |
| async def store_in_memory(request: MemoryStoreRequest): | |
| """Stocke des données en mémoire quantique""" | |
| try: | |
| address = await quantum_memory.store_quantum_data(request.data, request.address) | |
| return {"status": "stored", "address": address} | |
| except Exception as e: | |
| raise HTTPException(status_code=500, detail=str(e)) | |
| async def retrieve_from_memory(address: str, measure: bool = False): | |
| """Récupère des données de la mémoire quantique""" | |
| try: | |
| data = await quantum_memory.retrieve_quantum_data(address, measure) | |
| return {"address": address, "data": data} | |
| except Exception as e: | |
| raise HTTPException(status_code=500, detail=str(e)) | |
| # Routes conscience | |
| async def process_experience(experience: ConsciousnessExperience): | |
| """Traite une expérience consciente""" | |
| try: | |
| result = await awareness_engine.process_experience( | |
| experience.content, | |
| experience.emotional_context | |
| ) | |
| return {"experience_processed": True, "result": result} | |
| except Exception as e: | |
| raise HTTPException(status_code=500, detail=str(e)) | |
| async def quantum_meditation(): | |
| """Démarre une méditation quantique""" | |
| try: | |
| result = await awareness_engine.quantum_consciousness_meditation() | |
| return result | |
| except Exception as e: | |
| raise HTTPException(status_code=500, detail=str(e)) | |
| # Routes réplication | |
| async def replicate_data(request: ReplicationRequest): | |
| """Réplique des données cross-platform""" | |
| try: | |
| result = await replicator.replicate_data(request.data, request.target_nodes) | |
| return result | |
| except Exception as e: | |
| raise HTTPException(status_code=500, detail=str(e)) | |
| async def get_replication_stats(): | |
| """Récupère les statistiques de réplication""" | |
| try: | |
| stats = replicator.get_platform_statistics() | |
| return stats | |
| except Exception as e: | |
| raise HTTPException(status_code=500, detail=str(e)) | |
| # Routes connecteurs | |
| async def hf_generate_text(prompt: str, model: str = "gpt2"): | |
| """Génère du texte avec HuggingFace""" | |
| try: | |
| result = await self.hf_connector.generate_text(prompt, model) | |
| return result | |
| except Exception as e: | |
| raise HTTPException(status_code=500, detail=str(e)) | |
| async def openai_chat(messages: List[Dict], model: str = "gpt-4"): | |
| """Chat avec OpenAI""" | |
| try: | |
| result = await self.openai_connector.chat_completion(messages, model) | |
| return result | |
| except Exception as e: | |
| raise HTTPException(status_code=500, detail=str(e)) | |
| # Routes statistiques système | |
| async def get_system_statistics(): | |
| """Récupère toutes les statistiques système""" | |
| try: | |
| stats = { | |
| "quantum_processor": quantum_processor.get_quantum_stats(), | |
| "quantum_memory": quantum_memory.get_memory_statistics(), | |
| "entanglement": entanglement_manager.get_entanglement_statistics(), | |
| "consciousness": await awareness_engine.meta_cognitive_analysis(), | |
| "replication": replicator.get_platform_statistics() | |
| } | |
| return stats | |
| except Exception as e: | |
| raise HTTPException(status_code=500, detail=str(e)) | |
| async def initialize_all_components(self): | |
| """Initialise tous les composants du système""" | |
| self.logger.info("🚀 Initialisation de tous les composants Barouia-Cortex...") | |
| initialization_tasks = [ | |
| initialize_quantum_processing(), | |
| initialize_quantum_entanglement(), | |
| initialize_quantum_memory_system(), | |
| initialize_consciousness_system(), | |
| initialize_cross_platform_system(), | |
| self.hf_connector.initialize(), | |
| self.openai_connector.initialize(), | |
| self.quantum_api.initialize() | |
| ] | |
| results = await asyncio.gather(*initialization_tasks, return_exceptions=True) | |
| success_count = sum(1 for r in results if r is True) | |
| self.logger.info(f"✅ {success_count}/{len(initialization_tasks)} composants initialisés") | |
| return success_count == len(initialization_tasks) | |
| # Instance globale de l'API | |
| cortex_api = BarouiaCortexAPI() | |
| app = cortex_api.app | |
| async def main(): | |
| """Point d'entrée principal""" | |
| # Configuration du logging | |
| logging.basicConfig(level=logging.INFO) | |
| # Initialisation des composants | |
| await cortex_api.initialize_all_components() | |
| # Démarrage du serveur | |
| config = uvicorn.Config( | |
| app=app, | |
| host="0.0.0.0", | |
| port=8000, | |
| reload=True, | |
| log_level="info" | |
| ) | |
| server = uvicorn.Server(config) | |
| await server.serve() | |
| if __name__ == "__main__": | |
| asyncio.run(main()) |