feat: 持仓保证金占比与止盈止损自动委托守护

Co-authored-by: Cursor <cursoragent@cursor.com>

recommend_stream.py

@@ -10,11 +10,11 @@ from typing import Callable, Optional
 
 from db_conn import connect_db
 from kline_stream import sse_format
-from recommend_store import load_recommend_cache, refresh_recommend_cache
+from recommend_store import load_recommend_cache, recommend_cache_stale, refresh_recommend_cache
 
 logger = logging.getLogger(__name__)
 
-REFRESH_INTERVAL_SEC = 60
+CHECK_INTERVAL_SEC = 3600
 
 
 class RecommendStreamHub:
@@ -55,9 +55,10 @@ def start_recommend_worker(
     get_capital_fn: Callable,
     quote_fn: Callable[[str], Optional[dict]],
     init_tables_fn: Callable | None = None,
-    interval: int = REFRESH_INTERVAL_SEC,
+    get_mode_fn: Callable[[], str] | None = None,
+    interval: int = CHECK_INTERVAL_SEC,
 ) -> None:
-    """后台定时刷新推荐并推送给 SSE 订阅者。"""
+    """后台每日刷新推荐（每小时检查一次是否需更新），并推送给 SSE 订阅者。"""
 
     def _loop() -> None:
         while True:
@@ -67,13 +68,18 @@ def start_recommend_worker(
                     if init_tables_fn:
                         init_tables_fn(conn)
                     capital = float(get_capital_fn(conn) or 0)
-                    refresh_recommend_cache(conn, capital, quote_fn)
-                    payload = load_recommend_cache(conn)
+                    mode = get_mode_fn() if get_mode_fn else "simulation"
+                    cached = load_recommend_cache(conn)
+                    if recommend_cache_stale(cached.get("updated_at")):
+                        refresh_recommend_cache(conn, capital, quote_fn, trading_mode=mode)
+                        cached = load_recommend_cache(conn)
+                        logger.info("品种推荐每日刷新完成，capital=%.2f rows=%d", capital, len(cached.get("rows") or []))
+                    payload = {**cached, "capital": capital}
                 finally:
                     conn.close()
                 recommend_hub.broadcast("recommend", {"ok": True, **payload})
             except Exception as exc:
                 logger.warning("recommend worker failed: %s", exc)
-            time.sleep(max(15, interval))
+            time.sleep(max(300, interval))
 
     threading.Thread(target=_loop, daemon=True, name="recommend-worker").start()