update

模板建库func.py

@@ -618,7 +618,12 @@ def save_collect_data_info(path,std_value_dict):
     #获取重点类列表
     cursor_zi_new.execute(f"select category_name from important_category")
     point_category_list = pd.DataFrame(cursor_zi_new.fetchall(), columns=[tuple[0] for tuple in cursor_zi_new.description])['category_name'].tolist()
-    
+
+    cursor_zi_new.execute("select * from vw_property")
+    db_params = pd.DataFrame(cursor_zi_new.fetchall(), columns=[tuple[0] for tuple in cursor_zi_new.description])
+    db_params['standard_param'] = db_params['identy'].apply(lambda x: x[2])
+    db_params = db_params[db_params['standard_param'] != '0']
+    db_params['subtitle'] = db_params['subtitle'].apply(lambda x: x.strip())
     
     #实例化进度条
     index_ = ProgressLine()
@@ -647,24 +652,26 @@ def save_collect_data_info(path,std_value_dict):
                 for index,row in necessary_single_df.iterrows():
                     id_ = int(id_)
                     params = row['param']
+                    if params in cat_subtitle_list:
+                        if params == 'CPU型号':
                     
-                    if params == 'CPU型号':
-                
-                        subtitle_list.append(params)
-                        cpu_model = list(std_value_dict[id_][params].keys())[0]
-                        value_list.append(cpu_model)
-                        
-                        subtitle_list.append('CPU属性')
-                        if '飞腾' in cpu_model or '龙芯' in cpu_model or '兆芯' in cpu_model:
-                            pass
+                            subtitle_list.append(params)
+                            cpu_model = list(std_value_dict[id_][params].keys())[0]
+                            value_list.append(cpu_model)
+                            
+                            subtitle_list.append('CPU属性')
+                            if '飞腾' in cpu_model or '龙芯' in cpu_model or '兆芯' in cpu_model:
+                                pass
+                            else:
+                                cpu_model = cpu_model.split('-')[0]
+                            value_list.append(cpu_model)
+                            
                         else:
-                            cpu_model = cpu_model.split('-')[0]
-                        value_list.append(cpu_model)
-                        
+                            
+                            subtitle_list.append(params)
+                            value_list.append(list(std_value_dict[id_][params].keys())[0])
                     else:
-                        
-                        subtitle_list.append(params)
-                        value_list.append(list(std_value_dict[id_][params].keys())[0])
+                        continue
                 
                 
                 params_dict = str(dict(zip(subtitle_list + unnecessary_single_df['param'].tolist(),value_list + unnecessary_single_df['value'].tolist()))).replace("'","''")