update

backend/app/services/tushare_advanced_service.py

@@ -327,82 +327,43 @@ class TushareAdvancedService:
                 end_date = datetime.now().strftime('%Y%m%d')
 
             # 使用news接口（需要5000积分）
-            df = self.pro.news(
+            try:
-                src=src,
+                df = self.pro.query('news',
-                start_date=start_date,
+                    src=src,
-                end_date=end_date,
+                    start_date=start_date,
-                fields='datetime,content,title,channels,score'
+                    end_date=end_date,
-            )
+                    fields='datetime,content,title,channels,score'
+                )
+            except Exception as api_error:
+                # 如果接口不可用（积分不足或接口名称问题），返回None
+                logger.warning(f"新闻接口不可用（可能需要更高积分权限）: {api_error}")
+                return None
 
-            if df.empty:
+            if df is None or df.empty:
                 return None
 
             # 如果指定了股票代码，过滤相关新闻
             if ts_code:
-                # 简单的关键词过滤
+                try:
-                stock_info = self.pro.stock_basic(ts_code=ts_code, fields='name,symbol')
+                    # 简单的关键词过滤
-                if not stock_info.empty:
+                    stock_info = self.pro.stock_basic(ts_code=ts_code, fields='name,symbol')
-                    name = stock_info.iloc[0]['name']
+                    if not stock_info.empty:
-                    symbol = stock_info.iloc[0]['symbol']
+                        name = stock_info.iloc[0]['name']
-                    df = df[
+                        symbol = stock_info.iloc[0]['symbol']
-                        df['title'].str.contains(name, na=False) |
+                        df = df[
-                        df['content'].str.contains(name, na=False) |
+                            df['title'].str.contains(name, na=False) |
-                        df['title'].str.contains(symbol, na=False)
+                            df['content'].str.contains(name, na=False) |
-                    ]
+                            df['title'].str.contains(symbol, na=False)
+                        ]
+                except Exception as filter_error:
+                    logger.warning(f"新闻过滤失败: {filter_error}")
+                    # 继续返回未过滤的新闻
 
             df = df.sort_values('datetime', ascending=False)
             return df.head(10).to_dict('records')
 
         except Exception as e:
-            logger.error(f"获取新闻失败: {e}")
+            logger.warning(f"获取新闻失败: {e}")
-            return None
-
-    def get_major_news(
-        self,
-        stock_code: str,
-        start_date: str = None,
-        end_date: str = None
-    ) -> Optional[List[Dict[str, Any]]]:
-        """
-        获取重大公告
-
-        Args:
-            stock_code: 股票代码
-            start_date: 开始日期
-            end_date: 结束日期
-
-        Returns:
-            公告列表
-        """
-        if not self.pro:
-            return None
-
-        try:
-            ts_code = normalize_stock_code(stock_code)
-            if not ts_code:
-                return None
-
-            if not start_date:
-                start_date = (datetime.now() - timedelta(days=30)).strftime('%Y%m%d')
-            if not end_date:
-                end_date = datetime.now().strftime('%Y%m%d')
-
-            # 获取公告数据
-            df = self.pro.anns(
-                ts_code=ts_code,
-                start_date=start_date,
-                end_date=end_date,
-                fields='ts_code,ann_date,title,ann_type'
-            )
-
-            if df.empty:
-                return None
-
-            df = df.sort_values('ann_date', ascending=False)
-            return df.head(20).to_dict('records')
-
-        except Exception as e:
-            logger.error(f"获取公告失败: {e}")
             return None
 
     # ==================== 市场特色数据 ====================

backend/app/skills/advanced_data.py

@@ -41,7 +41,7 @@ class AdvancedDataSkill(BaseSkill):
         - money_flow: 资金流向
         - margin: 融资融券
         - block_trade: 大宗交易
-        - announcement: 重大公告
+        - all: 全部数据
         """
         stock_code = kwargs.get('stock_code')
         data_type = kwargs.get('data_type', 'all')  # 默认获取所有数据
@@ -107,12 +107,7 @@ class AdvancedDataSkill(BaseSkill):
                     # 只取最近10条
                     result['data']['block_trade'] = block_trade[:10]
 
-            # 重大公告
+            # 注意：重大公告功能已移除（需要特殊权限）
-            if data_type in ['announcement', 'all']:
-                announcements = tushare_advanced_service.get_major_news(stock_code)
-                if announcements:
-                    # 只取最近10条
-                    result['data']['announcements'] = announcements[:10]
 
             logger.info(f"获取高级数据成功: {stock_code}, 类型: {data_type}")
             return result