Files
Source/project/STOCK_APP/backend/main.py
T
cooney 3be7886bfe 랭그래프 활용한 주식 정보 도출 프로젝트
- yahooquery, ta 라이브러리 활용
2026-06-18 17:48:31 +09:00

50 lines
1.5 KiB
Python

from fastapi import FastAPI
from starlette.staticfiles import StaticFiles
from contextlib import asynccontextmanager
from backend.routers.stock_router import router as stock_router
# from backend.repository.db_init import Base, SessionLocal, engine
#
# from backend.routers.evalu_router import router as evalu_router
# from backend.routers.assistant_router import router as assistant_router
# from backend.routers.call_router import router as call_router
# from backend.repository.seed import seed_customers
# @asynccontextmanager
# async def lifespan(app: FastAPI):
# print("서버 시작")
#
# # Base 에 등록된 모든 모델에 테이블 자동 생성
# Base.metadata.create_all(bind=engine)
# print("[DB] 테이블 생성 완료 (또는 이미 존재)")
#
# db = SessionLocal()
# try:
# # 기본 user 데이터 삽입
# seed_customers(db)
# finally:
# db.close()
#
# yield
# print("서버 종료")
# app = FastAPI()
# app = FastAPI(title="상담 LLM", version="1.0", lifespan=lifespan)
app = FastAPI(title="$ Stock AI", version="1.0", description="""
#### $주식 AI 분석 FastAPI + LangGraph + yfinance + ChromaDB
### 주요 기능
| 번호 | 기능 | 엔드포인트 |
| --- | --- | --- |
|1 | 기업 종합 분석 | 'POST /api/stock/analysis'
""",
)
# static 폴더 지정
# app.mount("/static", StaticFiles(directory="backend/static"), name="static")
# 라우터 등록
app.include_router(stock_router)
# app.include_router(assistant_router)
# app.include_router(evalu_router)