feat: revert to original UserSatisfactionRateStatistic query

api/controllers/console/app/statistic.py

@@ -286,13 +286,12 @@ class UserSatisfactionRateStatistic(Resource):
         args = parser.parse_args()
 
         sql_query = '''
-                WITH numbered_messages AS (
-                  SELECT m.id, m.created_at, mf.id AS feedback_id,
-                         ROW_NUMBER() OVER (ORDER BY m.created_at) AS message_number
-                  FROM messages m
-                  LEFT JOIN message_feedbacks mf ON mf.message_id = m.id
-                  WHERE m.app_id = :app_id 
-                '''
+                        SELECT date(DATE_TRUNC('day', m.created_at AT TIME ZONE 'UTC' AT TIME ZONE :tz )) AS date, 
+                            COUNT(m.id) as message_count, COUNT(mf.id) as feedback_count 
+                            FROM messages m
+                            LEFT JOIN message_feedbacks mf on mf.message_id=m.id
+                            WHERE m.app_id = :app_id 
+                        '''
         arg_dict = {'tz': account.timezone, 'app_id': app_model.id}
 
         timezone = pytz.timezone(account.timezone)
@@ -318,13 +317,7 @@ class UserSatisfactionRateStatistic(Resource):
             sql_query += ' and m.created_at < :end'
             arg_dict['end'] = end_datetime_utc
 
-        sql_query += ''')
-            SELECT date(DATE_TRUNC('day', nm.created_at AT TIME ZONE 'UTC' AT TIME ZONE :tz )) AS date,
-                   FLOOR((COUNT(nm.feedback_id) + 999) / 1000) AS feedback_count_per_1000_messages
-            FROM numbered_messages nm
-            GROUP BY date, FLOOR((nm.message_number - 1) / 1000)
-            ORDER BY date;
-        '''
+        sql_query += ' GROUP BY date order by date'
 
         with db.engine.begin() as conn:
             rs = conn.execute(db.text(sql_query), arg_dict)
@@ -334,12 +327,12 @@ class UserSatisfactionRateStatistic(Resource):
         for i in rs:
             response_data.append({
                 'date': str(i.date),
-                'rate': round(i.feedback_count_per_1000_messages / 1000, 5),
+                'rate': round((i.feedback_count * 1000 / i.message_count) if i.message_count > 0 else 0, 2),
             })
 
         return jsonify({
-            'data': response_data
-        })
+                'data': response_data
+            })
 
 
 class AverageResponseTimeStatistic(Resource):