diff --git a/api/api_v1/endpoints/query.py b/api/api_v1/endpoints/query.py
index 1328abc..84e1b69 100644
--- a/api/api_v1/endpoints/query.py
+++ b/api/api_v1/endpoints/query.py
@@ -136,7 +136,7 @@ async def event_model(
             #     df_group.reset_index(drop=True, inplace=True)
             q['groups'].append(groupby)
             q['values'].append(df['values'].to_list())
-            # q['sum'].append(float(df['values'].sum()))
+            q['sum'].append(float(df['values'].sum()))
             q['avg'].append(round(float(df['values'].mean()),2))
             for last_value in df['values'].values[::-1]:
                 if last_value > 0:
@@ -165,7 +165,7 @@ async def event_model(
                 df_group = pd.concat([df_group, pd.DataFrame(concat_data, columns=df_group.columns)])
                 df_group.sort_values('date', inplace=True)
                 q['values'].append(df_group['values'].to_list())
-                # q['sum'].append(float(df_group['values'].sum()))
+                q['sum'].append(float(df_group['values'].sum()))
                 q['avg'].append(round(float(df_group['values'].mean()),2))
                 for last_value in df['values'].values[::-1]:
                     if last_value > 0:
@@ -188,7 +188,7 @@ async def event_model(
                 if last_value > 0:
                     q['last_value'] = float(last_value)
                     break
-            # q['sum'].append(float(df['values'].sum()))
+            q['sum'].append(float(df['values'].sum()))
             q['avg'].append(round(float(df['values'].mean()),2))
         if item['time_particle'] in ('P1D', 'P1W'):
             q['date_range'] = [d.strftime('%Y-%m-%d') for d in q['date_range']]
@@ -232,6 +232,8 @@ async def retention_model(request: Request,
     title = f'用户数'
     date_range = res['date_range']
     unit_num = res['unit_num']
+    filter_item_type = res['filter_item_type']
+    filter_item = res['filter_item']
     df.set_index('reg_date', inplace=True)
     for i in set(date_range) - set(df.index):
         df.loc[i] = 0
@@ -264,13 +266,16 @@ async def retention_model(request: Request,
         # 'values': values,
         'days': days,
         'date_range': [d.strftime('%Y-%m-%d') for d in date_range][:unit_num + 1],
-        'title': title
+        'title': title,
+        'filter_item_type':filter_item_type,
+        'filter_item':filter_item,
+
     }
     return schemas.Msg(code=0, msg='ok', data=resp)
 
 
 @router.post("/retention_model_del", deprecated=True)
-async def retention_model(
+async def retention_model_del(
         request: Request,
         game: str,
         ckdb: CKDrive = Depends(get_ck_db),
diff --git a/models/behavior_analysis.py b/models/behavior_analysis.py
index b9ff05d..5ef0eef 100644
--- a/models/behavior_analysis.py
+++ b/models/behavior_analysis.py
@@ -592,6 +592,8 @@ ORDER BY values desc"""
         }
 
     def retention_model_sql2(self):
+        filter_item_type = self.event_view.get('filter-item-type')
+        filter_item = self.event_view.get('filter-item')
         event_name_a = self.events[0]['eventName']
         event_name_b = self.events[1]['eventName']
 
@@ -650,5 +652,7 @@ group by a.reg_date) log on reg.date=log.reg_date
         return {
             'sql': sql,
             'date_range': self.date_range,
-            'unit_num': self.unit_num
+            'unit_num': self.unit_num,
+            'filter_item_type': filter_item_type,
+            'filter_item': filter_item,
         }