优化消费类型再分类汇总

app/api/export/crud.py

@@ -231,7 +231,7 @@ class ReferenceTypeClassification():
 
     def classification_summary(self):
 
-        data_sql = f"select uuid,type,amount/1000 as amount,create_time from {self.date} where reference_type='{self.reference_type}' GROUP BY uuid,type"
+        data_sql = f"select uuid,type,sum(amount)/1000 as amount,create_time from {self.date} where reference_type='{self.reference_type}' GROUP BY uuid,type"
         guild_sql = f"select uuid from guild"
         account_sql = f"select uuid,name from fi_account"
         anchor_sql = f"select uuid from v2_user where is_achor in(1,2)"
@@ -257,9 +257,9 @@ class ReferenceTypeClassification():
             op['money'] = round(float(op['amount']), 2)
             if op.get('uuid') in guild_data:
                 op['nickname'] = '公会'
-            if op.get('uuid') in anchor_data:
+            elif op.get('uuid') in anchor_data:
                 op['nickname'] = '主播'
-            if account_dict.get(op['uuid']):
+            elif account_dict.get(op['uuid']):
                 op['nickname'] = account_dict.get(op['uuid'])
             else:
                 op['nickname'] = '用户'
@@ -277,6 +277,6 @@ class ReferenceTypeClassification():
         if self.income:
             income = pd.DataFrame(self.income)
             igs = income.groupby("nickname").sum()
-            for k,v in igs.to_dict().get('money').items():
+            for k, v in igs.to_dict().get('money').items():
                 res_list.append({"type": "入账", "name": k, "money": v})
         return res_list