update

公共代码/校验参数数据.py

@@ -85,7 +85,7 @@ def check_data(category_name,path):
     
     process_index = 0
     index_ = Index()
-    
+    count = 0
     for index,row in df.iterrows():
         
         try:
@@ -95,9 +95,13 @@ def check_data(category_name,path):
         process_index+=1
         
         
+        
+        count+=1
+        
         id_ = str(row['id'])
         eg_brand_name = row['产品品牌']
         eg_product_name = row['产品名称']
+        
         for db_param in db_params['subtitle'].tolist():
             if db_param in ['产品型号', 'CPU属性']:#CPU属性为衍生属性，需要特殊处理
                 continue
@@ -146,7 +150,14 @@ def check_data(category_name,path):
                     dict_id = cursor_zi_new.fetchone()[0]
                     dict_id_list.append(dict_id)
                     
+            if count%10 == 0:
+                cursor_zi_new.close()
+                conn_zi_new.close()
+                conn_zi_new = pymssql.connect(host='123.56.115.207', user='zgcprice3311',password='zgcprice20200628',database= 'ZI_NEW',autocommit=True)
+                cursor_zi_new = conn_zi_new.cursor()
+                
     if flag:
+
         
         if len(dict_id_list) == 1:
             _id = dict_id_list[0]
@@ -154,6 +165,7 @@ def check_data(category_name,path):
         else:
             cursor_zi_new.execute("select * from ShuJuZiDian_Cfg where stdvalue is Null and id in (%s)" % ','.join(['%s'] * len(dict_id_list)),tuple(dict_id_list))
         fill_shujuzidian_df = pd.DataFrame(cursor_zi_new.fetchall(), columns=[tuple[0] for tuple in cursor_zi_new.description])
+        category_name = category_name.replace("/","_")
         fill_shujuzidian_df.to_excel(f"{category_name}数据字典补充.xlsx")
     else:
         
@@ -192,8 +204,8 @@ def check_data(category_name,path):
         print(f"{category_name}数据通过校验，可更新库内参数")
 
 
-category_name = '一体电脑'
-path = '/Users/rico/Work Space/1_Project/Company/中电中采/数据处理项目_重点类信息提取/一体电脑/一体电脑参数确认3.xlsx'
+category_name = '硒鼓/墨粉'
+path = '/Users/rico/Downloads/硒鼓墨粉汇总-库内数据补参.xlsx'
 
 check_data(category_name,path)