1

backend/app/api/auth.py

@@ -325,11 +325,6 @@ async def data_reset(req: DataResetRequest, admin: dict = Depends(get_current_ad
 
         await db.commit()
 
-    # 清除内存缓存
-    from app.engine.recommender import _latest_result
-    import app.engine.recommender as recommender_mod
-    recommender_mod._latest_result = None
-
     logger.info(f"管理员 {admin['username']} 执行数据重置: mode={req.mode}, deleted={deleted}")
 
     return {

backend/app/engine/recommender.py

@@ -15,9 +15,6 @@ from app.db import tables
 
 logger = logging.getLogger(__name__)
 
-# 内存中的最新推荐结果
-_latest_result: dict | None = None
-
 # 扫描锁：防止同时触发两次扫描
 _scan_lock = asyncio.Lock()
 _scan_running = False
@@ -25,11 +22,11 @@ _scan_running = False
 
 async def refresh_recommendations(trade_date: str = None, scan_session: str = "manual") -> dict:
     """刷新推荐列表（带扫描锁防止并发）"""
-    global _latest_result, _scan_running
+    global _scan_running
 
     if _scan_lock.locked():
         logger.warning("扫描已在执行中，跳过本次触发")
-        return _latest_result or {"market_temp": None, "hot_sectors": [], "recommendations": []}
+        return await _load_today_from_db()
 
     async with _scan_lock:
         _scan_running = True
@@ -41,8 +38,6 @@ async def refresh_recommendations(trade_date: str = None, scan_session: str = "m
                 rec.scan_session = scan_session
                 rec.created_at = datetime.now()
 
-            _latest_result = result
-
             # 持久化到数据库
             await _save_to_db(result)
 
@@ -260,18 +255,12 @@ async def get_performance_stats() -> dict:
 
 
 async def get_latest_recommendations() -> dict:
-    """获取最新推荐结果"""
-    if _latest_result:
-        return _latest_result
-    # 如果内存中没有，从数据库加载今日的
+    """获取最新推荐结果（直接从数据库读取，不做内存缓存）"""
     return await _load_today_from_db()
 
 
 async def get_latest_sectors() -> list[SectorInfo]:
-    """获取最新的板块热度数据（只读缓存，不触发扫描）"""
-    if _latest_result and _latest_result.get("hot_sectors"):
-        return _latest_result["hot_sectors"]
-    # 内存中没有，从数据库加载
+    """获取最新的板块热度数据（从数据库读取，不触发扫描）"""
     return await _load_sectors_from_db()