update

matchSKU.py

-#!/usr/bin/env python3
-# -*- coding: utf-8 -*-
-"""
-Created on Tue Jan  7 15:26:43 2020
-
-@author: rico
-"""
-import pymssql
-import pandas as pd
-
-'''
-DL/DW/DZ/GM/JD/LXWL/OFS/SN/YHD/ZCSM
-'''
-
-
-def matchSKU(sku_list,frm):
-    
-    conn = pymssql.connect(host='123.56.115.207', user='zgcprice3311',password='admin@2018@)!*',database='ZI_DataBase')
-    cursor = conn.cursor()
-    print('正在删除库中产品状态为6的sku，稍等。。。')#首先将库中错误状态产品的JD/SN/GM的SKU删除
-    cursor.execute("DELETE from productcode_sku where productcode in (select productcode from info_product where state='6')")
-    conn.commit()
-    print('正在获取当前库中所有sku,请稍等.....')#获取库中所有的SKU,以供检查
-    try:
-        get_all_sku = f"select  * from productcode_sku where frm in {frm}"
-        cursor.execute(get_all_sku)
-        data_sku = (cursor.fetchall())
-        data_sku_file = pd.DataFrame(data_sku,columns=['id','productcode','sku','skuname','createddate','frm'])
-    except:
-        get_all_sku = f"select  * from productcode_sku where frm='{frm}'"
-        cursor.execute(get_all_sku)
-        data_sku = (cursor.fetchall())
-        data_sku_file = pd.DataFrame(data_sku,columns=['id','productcode','sku','skuname','createddate','frm'])
-        
-    print('sku获取完毕')
-    conn.close()
-    cursor.close() 
-    sku_check = {}
-    for sku in set(sku_list):
-        #print(sku)
-        #sku = 100004460761
-        if str(sku) in list(data_sku_file['sku']):
-            try:
-                product_no = [target for sku_source,target in zip(list(data_sku_file['sku']),list(data_sku_file['productcode'])) if str(sku) == sku_source]
-                sku_check[f'{sku}'] = product_no[0]
-            except:
-                sku_check[f'{sku}'] = '2' #匹配上多个SKU，属于问题数据
-                
-        else:
-            if frm == 'SN':
-                sku_add = '0000000000/'+ str(sku)
-                if str(sku_add) in list(data_sku_file['sku']):
-                    try:
-                        product_no = [target for sku_source,target in zip(list(data_sku_file['sku']),list(data_sku_file['productcode'])) if str(sku_add) == sku_source]
-                        sku_check[f'{sku}'] = product_no[0]
-                    except:
-                        sku_check[f'{sku}'] = '2' #匹配上多个SKU，属于问题数据
-                else:
-                    sku_check[f'{sku}'] = '0'
-            else:
-                sku_check[f'{sku}'] = '0'
-    return sku_check
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+Created on Tue Jan  7 15:26:43 2020
+
+@author: rico
+"""
+import pymssql
+import pandas as pd
+
+'''
+DL/DW/DZ/GM/JD/LXWL/OFS/SN/YHD/ZCSM
+'''
+
+
+def matchSKU(sku_list,frm):
+    
+    conn = pymssql.connect(host='123.56.115.207', user='zgcprice3311',password='admin@2018@)!*',database='ZI_DataBase')
+    cursor = conn.cursor()
+    print('正在删除库中产品状态为6的sku，稍等。。。')#首先将库中错误状态产品的JD/SN/GM的SKU删除
+    cursor.execute("DELETE from productcode_sku where productcode in (select productcode from info_product where state='6')")
+    print('正在删除库中重复的SKU，稍等。。。')#需先删除库中重复的SKU，避免匹配相同的编码
+    cursor.execute("declare OperCursor Cursor for\
+                      SELECT productcode,sku,frm,count(*) ca  FROM productcode_sku\
+                    GROUP BY productcode,sku,frm\
+                    HAVING COUNT(*)>1\
+                      open OperCursor\
+                      declare @PRODUCTCODE as nvarchar(20)\
+                      declare @sku as nvarchar(50)\
+                      declare @frm as nvarchar(20)\
+                      declare @ca	  as 	int\
+                      declare @return_value	 as int\
+                    fetch next from OperCursor into @PRODUCTCODE,@sku,@frm,@ca\
+                    IF @@fetch_status=0\
+                    delete from productcode_sku\
+                            where id  in (select top (@ca-1) id from productcode_sku\
+                    where  productcode=@PRODUCTCODE and sku=@sku and frm=@frm)\
+                    \
+                    while @@fetch_status=0\
+                    begin\
+                    fetch next from OperCursor into @PRODUCTCODE,@sku,@frm,@ca\
+                    IF @@fetch_status=0\
+                    delete from productcode_sku\
+                    where id  in (select top (@ca-1) id from productcode_sku\
+                    where  productcode=@PRODUCTCODE and sku=@sku and frm=@frm)\
+                    end\
+                    close OperCursor\
+                    deallocate OperCursor")
+    conn.commit()
+    print('正在获取当前库中所有sku,请稍等.....')#获取库中所有的SKU,以供检查
+    try:
+        get_all_sku = f"select  * from productcode_sku where frm in {frm} and productcode not like '78%' "
+        cursor.execute(get_all_sku)
+        data_sku = (cursor.fetchall())
+        data_sku_file = pd.DataFrame(data_sku,columns=['id','productcode','sku','skuname','createddate','frm'])
+    except:
+        get_all_sku = f"select  * from productcode_sku where frm='{frm}' and productcode not like '78%' "
+        cursor.execute(get_all_sku)
+        data_sku = (cursor.fetchall())
+        data_sku_file = pd.DataFrame(data_sku,columns=['id','productcode','sku','skuname','createddate','frm'])
+        
+    print('sku获取完毕')
+    conn.close()
+    cursor.close() 
+    sku_check = {}
+    for sku in set(sku_list):
+        #print(sku)
+        #sku = 100004460761
+        if str(sku) in list(data_sku_file['sku']):
+            try:
+                product_no = [target for sku_source,target in zip(list(data_sku_file['sku']),list(data_sku_file['productcode'])) if str(sku) == sku_source]
+                sku_check[f'{sku}'] = product_no[0]
+            except:
+                sku_check[f'{sku}'] = '2' #匹配上多个SKU，属于问题数据
+                
+        else:
+            if frm == 'SN':
+                sku_add = '0000000000/'+ str(sku)
+                if str(sku_add) in list(data_sku_file['sku']):
+                    try:
+                        product_no = [target for sku_source,target in zip(list(data_sku_file['sku']),list(data_sku_file['productcode'])) if str(sku_add) == sku_source]
+                        sku_check[f'{sku}'] = product_no[0]
+                    except:
+                        sku_check[f'{sku}'] = '2' #匹配上多个SKU，属于问题数据
+                else:
+                    sku_check[f'{sku}'] = '0'
+            else:
+                sku_check[f'{sku}'] = '0'
+    return sku_check