feat: AI 서비스 MLX 듀얼 백엔드 및 모델 최적화
- MLX(맥미니 27B) 우선 → Ollama(조립컴 9B) fallback 구조 - pydantic-settings 기반 config 전환 - health check에 MLX 상태 추가 - 텍스트 모델 qwen3:8b → qwen3.5:9b-q8_0 변경 Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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@@ -1,10 +1,28 @@
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import os
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from contextlib import asynccontextmanager
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from fastapi import FastAPI
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from fastapi import FastAPI, Request
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from fastapi.middleware.cors import CORSMiddleware
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from starlette.middleware.base import BaseHTTPMiddleware
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from starlette.responses import JSONResponse
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from routers import health, embeddings, classification, daily_report, rag
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from db.vector_store import vector_store
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from db.metadata_store import metadata_store
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from services.ollama_client import ollama_client
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from middlewares.auth import verify_token
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PUBLIC_PATHS = {"/", "/api/ai/health", "/api/ai/models"}
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class AuthMiddleware(BaseHTTPMiddleware):
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async def dispatch(self, request: Request, call_next):
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if request.method == "OPTIONS" or request.url.path in PUBLIC_PATHS:
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return await call_next(request)
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try:
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request.state.user = await verify_token(request)
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except Exception as e:
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return JSONResponse(status_code=401, content={"detail": str(e.detail) if hasattr(e, "detail") else "인증 실패"})
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return await call_next(request)
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@asynccontextmanager
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@@ -12,6 +30,7 @@ async def lifespan(app: FastAPI):
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vector_store.initialize()
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metadata_store.initialize()
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yield
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await ollama_client.close()
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app = FastAPI(
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@@ -21,14 +40,25 @@ app = FastAPI(
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lifespan=lifespan,
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)
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ALLOWED_ORIGINS = [
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"https://tkfb.technicalkorea.net",
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"https://tkreport.technicalkorea.net",
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"https://tkqc.technicalkorea.net",
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"https://tkuser.technicalkorea.net",
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]
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if os.getenv("ENV", "production") == "development":
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ALLOWED_ORIGINS += ["http://localhost:30080", "http://localhost:30180", "http://localhost:30280"]
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app.add_middleware(
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CORSMiddleware,
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allow_origins=["*"],
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allow_credentials=False,
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allow_origins=ALLOWED_ORIGINS,
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allow_credentials=True,
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allow_methods=["*"],
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allow_headers=["*"],
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)
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app.add_middleware(AuthMiddleware)
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app.include_router(health.router, prefix="/api/ai")
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app.include_router(embeddings.router, prefix="/api/ai")
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app.include_router(classification.router, prefix="/api/ai")
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