hj

entprofile/service/company_30s.py

@@ -80,10 +80,15 @@ def final_hx (company_industry,hx_info_dict):
     data.append(industryData_dict)
 
     productData = hx_info_dict['product'].replace('[','').replace(']','').replace("'",'').replace(" ",'').split(',')
+    print('productData',productData)
+    print(type(productData))
+    if productData and productData != ['']:
         if len(productData)>2:
             lable_data = productData[0:2]
         else:
             lable_data = productData
+    else:
+        lable_data = []
     productData_dict['label_data'] = lable_data
     productData_dict['label_type'] = '产品标签'
     data.append(productData_dict)

entprofile/service/user_behavior.py

@@ -318,7 +318,6 @@ class Recom:
         return product_list
 
     # 商机推荐产品
-
     def business_product(self, business_id,product_select ):
         print("0000")
         provide = ProvideDao()
@@ -370,7 +369,8 @@ class Recom:
                 if data['relational_product']:
                     if data['relational_reason']:
                         print("data['relational_reason']",data['relational_reason'])
-                        relational_reason = json.loads(data['relational_reason'].replace(' ',''))
+                        # relational_reason = json.loads(data['relational_reason'].replace(' ',''))
+                        relational_reason = json.loads(data['relational_reason'])
                     relational = eval(data['relational_product'])
                     for relationalitem in relational:
                         relationalitem['typeCate'] = relationalitem['typeName']
@@ -383,7 +383,8 @@ class Recom:
                 if data['seas_product']:
                     if data['seas_reason']:
                         print("data['seas_reason']",data['seas_reason'])
-                        seas_reason = json.loads(data['seas_reason'].replace(' ',''))
+                        # seas_reason = json.loads(data['seas_reason'].replace(' ',''))
+                        seas_reason = json.loads(data['seas_reason'])
                     seas = eval(data['seas_product'])
                     for seasitem in seas:
                         print('seasitem',seasitem)