diff --git a/api/api_v1/endpoints/query.py b/api/api_v1/endpoints/query.py
index 90c6d3c..7908660 100644
--- a/api/api_v1/endpoints/query.py
+++ b/api/api_v1/endpoints/query.py
@@ -246,7 +246,7 @@ async def event_model(
         groupby = item['groupby']  # 分组项
         date_range = item['date_range']  # 获取的要查询的每一天的时间
         df = await ckdb.query_dataframe(sql)  # 以sql语句查出数据，df是二维列表
-        if item['event_name'] == '月充总额':  # 充值总额和月充总额是单独拿出来做处理返回数据
+        if '月充总额' in item['event_name']:  # 充值总额和月充总额是单独拿出来做处理返回数据
             date_range=df['date'].tolist()
             q['date_range']=[str(i).split('-')[0]+'-'+str(i).split('-')[1] for i in date_range]
         else:
@@ -371,7 +371,7 @@ async def event_model(
             for i in set(date_range) - set(df['date']):
                 concat_data.append((i, 0))
                 # 纵向拼接两个表
-            if item['event_name'] != '月充总额':
+            if '月充总额' not in item['event_name']:
                 df = pd.concat([df, pd.DataFrame(concat_data, columns=df.columns)])
                 # 在原数据上按data排序
                 df.sort_values('date', inplace=True)
diff --git a/models/behavior_analysis.py b/models/behavior_analysis.py
index 37d046b..05a1563 100644
--- a/models/behavior_analysis.py
+++ b/models/behavior_analysis.py
@@ -611,7 +611,7 @@ class BehaviorAnalysis:
                         qry = sa.select(
                             custom['select']
                         ).where(*where,*event_filter)
-                    elif event_name_display == '月充总额':
+                    elif '月充总额' in event_name_display:
                         times = self.start_date.split('-')
                         start_date = times[0] + '-' + times[1] + '-' + '01 00:00:00'
                         now = get_time('%Y-%m-%d %H:%M:%S')
@@ -725,7 +725,7 @@ class BehaviorAnalysis:
 
                 else:
                     qry = sa.select(selectd).where(and_(*event_filter, *base_where))
-            if event_name_display == '月充总额':
+            if '月充总额' in event_name_display:
                 qry = qry.group_by(event_date_col)
             else:
                 qry = qry.group_by(*select_exprs)