fix: 宇宙三级兜底(资金流活跃股) + 评分启动即跑

src/quant/engine.py

@@ -66,14 +66,21 @@ class QuantEngine:
                 return [c for c, _ in pairs], dict(pairs)
         except Exception as e:
             print('[quant] 东财宇宙失败:', e, flush=True)
-        # 3) 兜底：资金流表中的活跃股
+        # 3) 兜底：资金流表中的活跃股（当日有资金流的股票即活跃宇宙）
+        try:
             conn = self.fetcher._conn()
             try:
-            rows = conn.execute("SELECT DISTINCT ts_code FROM money_flow LIMIT ?",
-                                (n,)).fetchall()
-            return [r[0] for r in rows], {}
+                rows = conn.execute("SELECT DISTINCT ts_code FROM money_flow "
+                                    "ORDER BY trade_date DESC LIMIT ?", (n,)).fetchall()
             finally:
-            pass
+                conn.close()
+            codes = [r[0] for r in rows]
+            if codes:
+                print('[quant] 宇宙兜底: 资金流活跃股 {} 只'.format(len(codes)), flush=True)
+                return codes, {}
+        except Exception as e:
+            print('[quant] 资金流兜底失败:', e, flush=True)
+        return [], {}
 
     def _kline_count(self, tf):
         import sqlite3

src/web/server.py

@@ -70,13 +70,13 @@ async def collector_task(_app):
     quant.start()
 
     def _quant_loops():
+        time.sleep(5)   # 启动即先跑一轮打分（K线可能不足，引擎会自行跳过）
         while True:
             try:
-                time.sleep(SCORING_INTERVAL_S)
                 quant.run_scoring_and_push()
             except Exception as e:
                 print('[quant-loop]', e, flush=True)
-                time.sleep(60)
+                time.sleep(SCORING_INTERVAL_S)
 
     threading.Thread(target=_quant_loops, daemon=True, name='quant-scoring').start()