获取pricenow测试通过，需写breakoutlog逻辑

TurtleOnTime.py

@@ -334,9 +334,11 @@ class TurtleTrading_OnTime(object):
         # stock_zh_a_spot_df['时间'] = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
         # mysql_database.insert_db(stock_zh_a_spot_df, "stock_price", True, "代码")
         
-        # etf_data = ak.fund_etf_spot_em()
+        etf_data = ak.fund_etf_spot_em()
-        etf_data = ak.fund_etf_spot_ths()
+        # etf_data = ak.fund_etf_spot_ths()
-        etf_data = etf_data.dropna(subset=['当前-单位净值'])
+        # etf_data = etf_data.dropna(subset=['当前-单位净值'])
+        etf_data = etf_data.dropna(subset=['最新价'])
+        
         # etf_data['时间'] = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
         # mysql_database.insert_db(etf_data, "etf_price", True, "代码")
         return stock_data, etf_data
@@ -562,23 +564,21 @@ class TurtleTrading_OnTime(object):
                 (now.hour == 15 and now.minute <= 0)
             )
 
-            if not is_trading_time:
+            # if not is_trading_time:
-                # 非交易时间，等待 1 分钟后继续循环
+            #     # 非交易时间，等待 1 分钟后继续循环
-                time.sleep(60)
+            #     time.sleep(60)
-                continue
+            #     continue
 
             # 获取股票和ETF数据
             stock_data, etf_data = self.get_stocks_data()
 
             # 根据类型获取当前价格
-            if self.turtle.Type == "stock":
+            if self.turtle.type == "stock":
-                self.turtle.PriceNow = stock_data[
+                self.turtle.PriceNow = float(stock_data.loc[etf_data['代码'] == self.turtle.TradeCode, '最新价'].values[0])
-                    stock_data['代码'] == self.turtle.TradeCode
+
-                ]['最新价'].iloc[-1]
+            elif self.turtle.type == "etf":
-            elif self.turtle.Type == "etf":
+                # self.turtle.PriceNow = float(etf_data.loc[etf_data['基金代码'] == self.turtle.TradeCode, '当前-单位净值'].values[0])
-                self.turtle.PriceNow = etf_data[
+                self.turtle.PriceNow = float(etf_data.loc[etf_data['代码'] == self.turtle.TradeCode, '最新价'].values[0])
-                    etf_data['代码'] == self.turtle.TradeCode
-                ]['当前-单位净值'].iloc[-1]
 
             # 判断当前仓位状态并执行相应操作
             if self.turtle.TrigerTime == 0:
@@ -660,7 +660,7 @@ class TurtleTrading_OnTime(object):
 
 if __name__ == '__main__':
     user_email = "guoyize2209@163.com"
-    t = TurtleTrading('513300', "etf", 0.0025, 100000, 200000)
+    t = TurtleTrading('513870', "etf", 0.0025, 100000, 200000)
     # t.get_ready(100)
     
     a = TurtleTrading_OnTime(t, user_email)