Remove files

2025-05-26 19:54:07 +08:00
parent 0cc19132eb
commit 0754b5ae59
25 changed files with 1076 additions and 1103 deletions
@@ -21,26 +21,59 @@ class ChinaStockData:
    def get_stock_list(self):
        """获取A股股票列表"""
        try:
-            # 获取沪深A股实时行情
-            stock_info = ak.stock_zh_a_spot_em()
+            import requests
+            # 设置较短的超时时间，避免长时间等待
+            import akshare as ak
+            
+            print("正在获取A股股票列表...")
+            
+            # 尝试获取沪深A股实时行情，设置超时时间
+            try:
+                # 临时设置requests的默认超时
+                original_timeout = getattr(requests, 'timeout', None)
+                requests.timeout = 10  # 10秒超时
+                
+                stock_info = ak.stock_zh_a_spot_em()
+                
+                # 恢复原始超时设置
+                if original_timeout:
+                    requests.timeout = original_timeout
+                else:
+                    delattr(requests, 'timeout')
+                    
+            except Exception as network_error:
+                print(f"网络请求失败: {network_error}")
+                # 网络失败时返回空列表，让调用方使用备用方案
+                return []
+            
+            if stock_info is None or len(stock_info) == 0:
+                print("获取到的股票数据为空")
+                return []
+            
            # 增加到前2000只股票，提供更多选择
            stock_list = []
            for index, row in stock_info.head(2000).iterrows():
-                # 过滤掉ST股票和停牌股票
-                stock_name = str(row['名称'])
-                if 'ST' not in stock_name and '*' not in stock_name:
-                    stock_list.append({
-                        'symbol': row['代码'],
-                        'name': row['名称'],
-                        'price': float(row['最新价']) if pd.notna(row['最新价']) else 0.0,
-                        'change_pct': float(row['涨跌幅']) if pd.notna(row['涨跌幅']) else 0.0,
-                        'volume': float(row['成交量']) if pd.notna(row['成交量']) else 0.0,
-                        'amount': float(row['成交额']) if pd.notna(row['成交额']) else 0.0
-                    })
+                try:
+                    # 过滤掉ST股票和停牌股票
+                    stock_name = str(row['名称'])
+                    if 'ST' not in stock_name and '*' not in stock_name:
+                        stock_list.append({
+                            'symbol': row['代码'],
+                            'name': row['名称'],
+                            'price': float(row['最新价']) if pd.notna(row['最新价']) else 0.0,
+                            'change_pct': float(row['涨跌幅']) if pd.notna(row['涨跌幅']) else 0.0,
+                            'volume': float(row['成交量']) if pd.notna(row['成交量']) else 0.0,
+                            'amount': float(row['成交额']) if pd.notna(row['成交额']) else 0.0
+                        })
+                except Exception as row_error:
+                    print(f"处理股票数据行时出错: {row_error}")
+                    continue
            
            # 按成交金额排序，优先显示活跃股票
            stock_list.sort(key=lambda x: x['amount'], reverse=True)
+            print(f"成功获取 {len(stock_list)} 只股票")
            return stock_list
+            
        except Exception as e:
            print(f"获取股票列表失败: {e}")
            return []