79 lines
2.2 KiB
Python
79 lines
2.2 KiB
Python
import os
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from fastapi import FastAPI, HTTPException
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from fastapi.middleware.cors import CORSMiddleware
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from fastapi.staticfiles import StaticFiles
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from fastapi.responses import FileResponse
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from dotenv import load_dotenv
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import uvicorn
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from models import RealEstateQuery
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from openai_parser import OpenAIParser
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from public_data_api import PublicDataAPIClient
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load_dotenv()
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app = FastAPI(title="부동산 검색 API")
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# CORS 설정
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app.add_middleware(
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CORSMiddleware,
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allow_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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# OpenAI 파서 초기화
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try:
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parser = OpenAIParser()
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except ValueError as e:
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print(f"Warning: {e}")
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parser = None
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# 공공데이터 API 클라이언트 초기화
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public_data_client = PublicDataAPIClient()
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@app.get("/")
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async def serve_index():
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"""메인 페이지 제공"""
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return FileResponse("../frontend/index.html")
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@app.post("/api/search")
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async def search_real_estate(query: RealEstateQuery):
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"""자연어 검색 후 실거래가 데이터 조회"""
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if not parser:
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raise HTTPException(
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status_code=500,
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detail="OpenAI API key not configured"
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)
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try:
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# 1. 자연어 파싱
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parsed = await parser.parse_real_estate_query(query.text)
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# 2. 실거래가 데이터 조회
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listings = []
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if parsed.region_code and parsed.property_type and parsed.transaction_type:
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listings = public_data_client.get_real_estate_data(
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property_type=parsed.property_type,
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transaction_type=parsed.transaction_type,
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region_code=parsed.region_code
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)
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return {
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"parsed": parsed,
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"listings": listings,
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"count": len(listings)
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}
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except Exception as e:
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raise HTTPException(status_code=500, detail=str(e))
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# 정적 파일 서빙 (CSS, JS)
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app.mount("/static", StaticFiles(directory="../frontend"), name="static")
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if __name__ == "__main__":
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host = os.getenv("HOST", "0.0.0.0")
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port = int(os.getenv("PORT", 20001))
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print(f"Starting server at http://localhost:{port}")
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uvicorn.run(app, host=host, port=port, reload=True) |