format

classify_server.py

@@ -46,7 +46,7 @@ if __name__ == '__main__':
     # data = read_from_excel('DZ0901_V1.4_BOM.xlsx', 'DZ0901_V1.3BOM清单')
     # print(data)
     # print(Classify().fac_test_predic(data))
-    for i in range(65, 91):
-        print(chr(i))
+    # for i in range(65, 91):
+    #     print(chr(i))
 
 

predict/base_handler.py

@@ -134,9 +134,8 @@ class BasePredictor:
         return li_sort[0][0]
 
     @classmethod
-    def get_comprehensive_res(self, pre_std_result, model_std_result):
-        print('表头预测结果', pre_std_result)
-        print('模型预测结果', model_std_result)
+    def get_comprehensive_res(self, head_std_result, model_std_result):
+
         vote_count = {
             "类别": [],
             "参数": [],
@@ -144,7 +143,7 @@ class BasePredictor:
             "数量": [],
             "品牌": []
         }
-        for k, v in pre_std_result.items():
+        for k, v in head_std_result.items():
             vote_count[v].append(k)
 
         for k, v in model_std_result.items():

predict/dict_predict.py

@@ -143,6 +143,8 @@ class DicPredict(BasePredictor):
         if predict_type == 'all':
             head_id_res = self.head_predict(dic_data)
             model_id_res = self.model_predict(dic_data)
+            print('表头预测结果', head_id_res)
+            print('模型预测结果', model_id_res)
 
             # 表头预测和模型预测最后返回的数据进行综合处理
             head_std_result = head_id_res.get('std_result')