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CRANE AI - Ana Sistem (yeniden oluşturuldu)
"""
import asyncio
import logging
import socket
from typing import Dict, Any, List
from datetime import datetime
from contextlib import asynccontextmanager
from fastapi import FastAPI, HTTPException
from fastapi.middleware.cors import CORSMiddleware
from pydantic import BaseModel
import uvicorn
import gradio as gr
from config.settings import (
MODELS,
ROUTER_CONFIG,
SYSTEM_LIMITS,
MEMORY_CONFIG,
DEVICE,
HF_TOKEN,
API_CONFIG,
)
from modules.code_module import CodeModule
from modules.chat_module import ChatModule
from modules.reason_module import ReasonModule
from modules.fast_module import FastModule
from router.intelligent_router import IntelligentRouter
from core.token_capsule import TokenCapsuleLayer
from memory.local_memory import LocalMemoryManager
# Logging
logging.basicConfig(level=logging.INFO, format="%(asctime)s - %(name)s - %(levelname)s - %(message)s")
logger = logging.getLogger(__name__)
# -------------------------------------------------
# Yardımcı Fonksiyonlar
# -------------------------------------------------
def find_free_port(start_port: int = 7860, max_port: int = 7870) -> int:
"""Belirtilen aralıkta boş port bulur"""
for port in range(start_port, max_port + 1):
with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as sock:
if sock.connect_ex(("localhost", port)) != 0:
return port
raise RuntimeError("Boş port bulunamadı")
# -------------------------------------------------
# Pydantic Modeller
# -------------------------------------------------
class QueryRequest(BaseModel):
query: str
context: Dict[str, Any] = {}
user_id: str = "default"
class QueryResponse(BaseModel):
response: str
module_used: str
confidence: float
execution_time: float
routing_info: Dict[str, Any] = {}
# -------------------------------------------------
# Ana Sistem Sınıfı
# -------------------------------------------------
class CRANEAISystem:
"""CRANE AI ana orkestratör sınıfı"""
def __init__(self):
self.modules: Dict[str, Any] = {}
self.router: IntelligentRouter | None = None
self.token_layer: TokenCapsuleLayer | None = None
self.memory_manager: LocalMemoryManager | None = None
self.is_initialized: bool = False
self.stats = {
"total_queries": 0,
"successful_queries": 0,
"failed_queries": 0,
"avg_response_time": 0.0,
"uptime_start": datetime.now(),
}
# ------------- Başlat / Durdur -------------
async def initialize(self):
"""Sistemdeki tüm alt bileşenleri başlatır"""
logger.info("🚀 CRANE AI sistemi başlatılıyor...")
await self._load_modules()
await self._initialize_router()
await self._initialize_token_layer()
await self._initialize_memory()
self.is_initialized = True
logger.info("✅ CRANE AI sistemi hazır!")
async def shutdown(self):
"""Sistemi kapatır ve kaynakları temizler"""
logger.info("🔄 Sistem kapatılıyor...")
if self.memory_manager:
await self.memory_manager.stop()
for module in self.modules.values():
if hasattr(module, "unload_model"):
module.unload_model()
logger.info("👋 Sistem kapatıldı")
# ------------- Alt Bileşen Başlatma -------------
async def _load_modules(self):
logger.info("📦 MicroModule'lar yükleniyor...")
for name, cfg in MODELS.items():
try:
config = {**cfg, "device": DEVICE, "hf_token": HF_TOKEN}
if name == "code_module":
module = CodeModule(config)
elif name == "chat_module":
module = ChatModule(config)
elif name == "reason_module":
module = ReasonModule(config)
elif name == "fast_module":
module = FastModule(config)
else:
continue
self.modules[name] = module
logger.info(f" ✅ {name} yüklendi")
except Exception as e:
logger.error(f" ❌ {name} yükleme hatası: {e}")
logger.info(f"📦 {len(self.modules)} modül yüklendi")
async def _initialize_router(self):
logger.info("🎯 Router başlatılıyor...")
self.router = IntelligentRouter(self.modules, ROUTER_CONFIG)
logger.info("🎯 Router başlatıldı")
async def _initialize_token_layer(self):
logger.info("🔤 Token Capsule Layer başlatılıyor...")
self.token_layer = TokenCapsuleLayer({
"max_length": SYSTEM_LIMITS["max_input_length"],
"device": DEVICE,
"hf_token": HF_TOKEN,
"cache_size": 500,
})
logger.info("🔤 Token Capsule Layer başlatıldı")
async def _initialize_memory(self):
logger.info("🧠 Memory Manager başlatılıyor...")
self.memory_manager = LocalMemoryManager(MEMORY_CONFIG)
await self.memory_manager.start()
logger.info("🧠 Memory Manager başlatıldı")
# ------------- Sorgu İşleme -------------
async def process_query(self, query: str, context: Dict[str, Any] | None = None, user_id: str = "default") -> Dict[str, Any]:
start = datetime.now()
context = context or {}
try:
if not self.is_initialized:
raise RuntimeError("Sistem henüz başlatılmadı")
# Geçmişi al
user_history = await self.memory_manager.retrieve(f"history_{user_id}") if self.memory_manager else None
if user_history:
context["history"] = user_history
result = await self.router.route_query(query, context) if self.router else {"error": "Router yok"}
# Geçmişi güncelle
if self.memory_manager:
updated_history: List[str] = user_history or []
updated_history.append(query)
if len(updated_history) > 10:
updated_history = updated_history[-10:]
await self.memory_manager.store(f"history_{user_id}", updated_history, ttl=86_400)
exec_time = (datetime.now() - start).total_seconds()
self._update_stats(exec_time, "error" not in result)
if "error" in result:
raise RuntimeError(result["error"])
return {
"response": result.get("response", "Yanıt alınamadı"),
"module_used": result.get("module", "unknown"),
"confidence": result.get("confidence", 0.0),
"execution_time": exec_time,
"routing_info": result.get("routing_info", {}),
}
except Exception as e:
exec_time = (datetime.now() - start).total_seconds()
self._update_stats(exec_time, False)
logger.error(f"Sorgu hatası: {e}")
return {"error": str(e), "execution_time": exec_time}
# ------------- Yardımcılar -------------
def _update_stats(self, exec_time: float, success: bool):
self.stats["total_queries"] += 1
if success:
self.stats["successful_queries"] += 1
else:
self.stats["failed_queries"] += 1
total_time = self.stats["avg_response_time"] * (self.stats["total_queries"] - 1)
self.stats["avg_response_time"] = (total_time + exec_time) / self.stats["total_queries"]
def get_system_stats(self) -> Dict[str, Any]:
uptime = datetime.now() - self.stats["uptime_start"]
return {
"system_info": {
"uptime": str(uptime),
"is_initialized": self.is_initialized,
"device": DEVICE,
},
"query_stats": self.stats,
"router": self.router.get_stats() if self.router else {},
"token": self.token_layer.get_stats() if self.token_layer else {},
}
# -------------------------------------------------
# CRANE Sistemi Global Örnek
# -------------------------------------------------
crane_system = CRANEAISystem()
# -------------------------------------------------
# FastAPI Uygulaması (lifespan)
# -------------------------------------------------
@asynccontextmanager
async def lifespan(app: FastAPI):
await crane_system.initialize()
yield
await crane_system.shutdown()
app = FastAPI(title="CRANE AI API", version="1.0.0", lifespan=lifespan)
app.add_middleware(
CORSMiddleware,
allow_origins=["*"],
allow_credentials=True,
allow_methods=["*"],
allow_headers=["*"],
)
# ------ API Endpoints ------
@app.post("/query", response_model=QueryResponse)
async def query_endpoint(req: QueryRequest):
result = await crane_system.process_query(req.query, req.context, req.user_id)
if "error" in result:
raise HTTPException(status_code=500, detail=result["error"])
return QueryResponse(**result)
@app.get("/stats")
async def stats_endpoint():
return crane_system.get_system_stats()
@app.get("/health")
async def health():
return {"status": "initialized" if crane_system.is_initialized else "initializing"}
# -------------------------------------------------
# Gradio Arayüzü
# -------------------------------------------------
async def gradio_interface(message: str, history: List[Dict[str, str]] | None = None):
res = await crane_system.process_query(message, {"history": history or []})
if "error" in res:
return f"❌ Hata: {res['error']}"
return f"**Yanıt:**\n{res['response']}\n\n**Sistem Bilgileri:**\n- Kullanılan Modül: {res['module_used']}\n- Güven Skoru: {res['confidence']:.2f}\n- Süre: {res['execution_time']:.2f}s"
demo = gr.ChatInterface(
fn=gradio_interface,
type="messages",
title="🏗️ CRANE AI - Hibrit Yapay Zeka Sistemi",
description="Compressed Routing and Neural Embedding ile güçlendirilmiş AI sistemi",
theme=gr.themes.Soft(),
examples=[
"Merhaba! Nasılsın?",
"Python'da bir hesap makinesi yaz",
"Yapay zeka nedir?",
"Bir web sitesi tasarla",
"Bugün hava nasıl?",
],
)
# -------------------------------------------------
# Ana Async Fonksiyon (API + Gradio)
# -------------------------------------------------
async def main():
# Boş port bularak Gradio'yu başlat
gradio_port = find_free_port(7860, 7870)
logger.info(f"🌐 Gradio port: {gradio_port}")
# Gradio'yu background thread'de başlat
demo.launch(server_name="0.0.0.0", server_port=gradio_port, share=False, inbrowser=False)
# FastAPI sunucusunu başlat
config = uvicorn.Config(app=app, host=API_CONFIG["host"], port=API_CONFIG["port"], workers=API_CONFIG["workers"])
server = uvicorn.Server(config)
await server.serve()
if __name__ == "__main__":
asyncio.run(main()) |