stock-lab 오류 수정, lotto-lab 히트맵 기반 추천 기능 추가

stock-lab/app/main.py

@@ -8,10 +8,6 @@ import requests
 from apscheduler.schedulers.background import BackgroundScheduler
 from pydantic import BaseModel
 
-
-
-
-
 from .db import init_db, save_articles, get_latest_articles
 from .scraper import fetch_market_news, fetch_major_indices, fetch_overseas_news
 
@@ -33,7 +29,6 @@ WINDOWS_AI_SERVER_URL = os.getenv("WINDOWS_AI_SERVER_URL", "http://192.168.0.5:8
 
 @app.on_event("startup")
 def on_startup():
-    print(f"[StockLab] Startup. Windows AI Server URL: {WINDOWS_AI_SERVER_URL}")
     init_db()
     
     # 매일 아침 8시 뉴스 스크랩 (NAS 자체 수행)
@@ -52,9 +47,10 @@ def run_scraping_job():
     articles_kr = fetch_market_news()
     count_kr = save_articles(articles_kr)
     
-    # 2. 해외
-    articles_world = fetch_overseas_news()
-    count_world = save_articles(articles_world)
+    # 2. 해외 (임시 차단)
+    # articles_world = fetch_overseas_news()
+    # count_world = save_articles(articles_world)
+    count_world = 0
     
     print(f"[StockLab] Saved {count_kr} domestic, {count_world} overseas articles.")
 
@@ -127,25 +123,7 @@ def order_stock(req: OrderRequest):
         )
 
 
-@app.get("/api/stock/analyze")
-def analyze_market():
-    """Windows PC를 통한 AI 시장 분석"""
-    print(f"[Proxy] Analyzing Market at {WINDOWS_AI_SERVER_URL}...")
-    try:
-        # 빈 JSON Body 전송
-        resp = requests.post(f"{WINDOWS_AI_SERVER_URL}/analyze/portfolio", json={}, timeout=120)
-        
-        if resp.status_code != 200:
-             print(f"[ProxyError] Analyze Error: {resp.status_code} {resp.text}")
-             return JSONResponse(status_code=resp.status_code, content=resp.json())
-        
-        return resp.json()
-    except Exception as e:
-        print(f"[ProxyError] Analyze Connection Failed: {e}")
-        return JSONResponse(
-            status_code=500,
-            content={"error": "Connection Failed", "detail": str(e), "target": WINDOWS_AI_SERVER_URL}
-        )
+
 
 @app.get("/api/version")
 def version():