fix: 修复6个数据和代码问题

1. 修复 _generate_plain_summary position key 不匹配 (20d→d20, pct→range_pct)
2. 修复 mairui_api.py 日期解析不一致及 float(None) 崩溃风险
3. 修复 fund_flow_analyzer.py 麦蕊回退数据 close_price=0 导致量价背离误判
4. 修复 db_get_fund_flow_history 缺少完整字段和日期过滤
5. 修复 scheduler.py 连接池泄漏 (conn.close() → put_db(conn))
6. 修复多处北交所股票代码映射缺失 (8/9开头→bj)

stock-html/services/fund_flow_analyzer.py

@@ -155,6 +155,39 @@ def _get_fund_flow_from_mairui(stock_code, days=10):
                 'small_net_inflow_pct': small_net_pct,
             })
 
+        # 从本地DB补充 close_price 和 change_pct（避免全为0导致量价背离误判）
+        from db import get_db, put_db
+        conn = get_db()
+        if conn:
+            try:
+                cur = conn.cursor()
+                date_list = [r['date'] for r in records if r['date']]
+                if date_list:
+                    cur.execute("""
+                        SELECT k.trade_date::text, k.close,
+                               CASE WHEN prev.close > 0
+                                    THEN ROUND((k.close - prev.close) / prev.close * 100, 2)
+                                    ELSE 0 END AS change_pct
+                        FROM stock_kline_daily k
+                        LEFT JOIN LATERAL (
+                            SELECT close FROM stock_kline_daily
+                            WHERE code = k.code AND trade_date < k.trade_date
+                            ORDER BY trade_date DESC LIMIT 1
+                        ) prev ON true
+                        WHERE k.code = %s AND k.trade_date::text = ANY(%s)
+                    """, (stock_code, date_list))
+                    price_map = {r[0]: {'close': float(r[1] or 0), 'change_pct': float(r[2] or 0)}
+                                 for r in cur.fetchall()}
+                    for r in records:
+                        info = price_map.get(r['date'])
+                        if info:
+                            r['close_price'] = info['close']
+                            r['change_pct'] = info['change_pct']
+            except Exception as e:
+                logger.warning(f"补充K线价格失败({stock_code}): {e}")
+            finally:
+                put_db(conn)
+
         # 按日期升序排列
         records.sort(key=lambda x: x['date'])
         logger.info(f"麦蕊API获取{stock_code}资金流向{len(records)}条")
@@ -245,17 +278,20 @@ def analyze_fund_flow(stock_code, days=5):
     # 出货：主力净流出但价格不跌（跌幅<2%）
     accumulation = False
     distribution = False
-    if total_main_inflow > 0:
-        price_changes = [r['change_pct'] for r in recent]
-        avg_price_change = sum(price_changes) / len(price_changes) if price_changes else 0
-        if avg_price_change < 2:
-            accumulation = True
+    # 检查是否有有效的价格数据（close_price 全为0说明数据不完整，跳过背离检测）
+    has_valid_price = any(r.get('close_price', 0) > 0 for r in recent)
+    if has_valid_price:
+        if total_main_inflow > 0:
+            price_changes = [r['change_pct'] for r in recent]
+            avg_price_change = sum(price_changes) / len(price_changes) if price_changes else 0
+            if avg_price_change < 2:
+                accumulation = True
 
-    if total_main_inflow < 0:
-        price_changes = [r['change_pct'] for r in recent]
-        avg_price_change = sum(price_changes) / len(price_changes) if price_changes else 0
-        if avg_price_change > -2:
-            distribution = True
+        if total_main_inflow < 0:
+            price_changes = [r['change_pct'] for r in recent]
+            avg_price_change = sum(price_changes) / len(price_changes) if price_changes else 0
+            if avg_price_change > -2:
+                distribution = True
 
     # 单日超大单突击
     big_surge = False