增加一个判断是否为交易日的机制

industry_heat_task.py

@@ -48,8 +48,8 @@ class SWIndustryHeatTracker:
         }
         
         # 初始化数据库表
-        if self.db_config:
+        # if self.db_config:
-            self._init_database()
+            # self._init_database()
     
     def _init_database(self):
         """初始化MySQL数据库和表"""
@@ -104,6 +104,14 @@ class SWIndustryHeatTracker:
         
         return set(dates)
     
+    def is_trading_day(self, date=None):
+        """判断是否为交易日"""
+        if date is None:
+            date = datetime.now()
+        if isinstance(date, datetime):
+            date = date.strftime('%Y-%m-%d')
+        return date in self.trading_dates
+    
     def _update_calendar_cache(self, cache_file):
         """更新交易日历缓存"""
         print("正在更新交易日历...")
@@ -352,6 +360,18 @@ class SWIndustryHeatTracker:
                   f"量比:{row['volume_ratio']:4.2f} | "
                   f"动量:{row['momentum']:.0%}")
         
+        # 打印冷门板块（后10名）
+        print(f"\n❄️  冷门板块 (后10名):")
+        print("-"*80)
+        bottom10 = heat_df.tail(10)
+        for _, row in bottom10.iterrows():
+            print(f"{row['rank']:2d}. {row['name']:8s} | "
+                  f"热度:{row['heat_score']:5.1f}({row['heat_level']}) | "
+                  f"收益:{row['total_return']:+6.2f}% | "
+                  f"换手:{row['avg_turnover']:5.2f}% | "
+                  f"量比:{row['volume_ratio']:4.2f} | "
+                  f"动量:{row['momentum']:.0%}")
+        
         # 保存数据部分
         if save:
             today = datetime.now().strftime('%Y-%m-%d')
@@ -378,14 +398,6 @@ class SWIndustryHeatTracker:
 # 使用示例
 if __name__ == "__main__":
     # 数据库配置
-    # config = {
-    #     'host': 'localhost',
-    #     'port': 3306,
-    #     'user': 'your_username',
-    #     'password': 'your_password',
-    #     'database': 'your_database',
-    #     'charset': 'utf8mb4'
-    # }
     config = {
         'host': '10.127.2.207',
         'user': 'financial_prod',
@@ -401,5 +413,10 @@ if __name__ == "__main__":
         db_config=config  # 传入数据库配置
     )
     
+    check_date = datetime.now().strftime('%Y-%m-%d')
+    if not tracker.is_trading_day(check_date):
+        print(f"\n⚠️  {check_date} 不是交易日，跳过计算\n\n")
+        exit(0)
+    
     # 生成报告并自动存入MySQL
     result = tracker.generate_report(save=True, to_mysql=True)

mqreceivefromllm.py

@@ -24,7 +24,6 @@ def message_callback(ch, method, properties, body):
         # 数据写入资讯精选表
         write_to_news(data)
 
-        
         # 手动确认消息
         ch.basic_ack(delivery_tag=method.delivery_tag)
     except Exception as e: