代码更新

公共代码/产品类别分析.py

@@ -251,14 +251,15 @@ def class_washing(category, filepath, b=0.01):
     )
     subtitle_fetch=cursor_zi_new.fetchall()
     if not subtitle_fetch:
-        print('该类别无‘标准参数异常’列名，或者类别名输入有误，请查证数据库。代码继续运行')
+        print('该类别在vw_property中没有identy不等于0000的数据，请查证数据库')
+        return
     stdparam_col_list=[]
     for subtitle_tuple in subtitle_fetch:
         if subtitle_tuple[1][2]=='1':  # identy第三个值为1代表是标准项
             stdparam_col_list.append(subtitle_tuple[0])
 
     if not stdparam_col_list:
-        print('该类别无标准参数项')
+        print('该类别无标准参数项, 请去库里查证，代码继续运行')
 
     character_minor_dict = {}
     for col_i in stdparam_col_list:
@@ -266,7 +267,7 @@ def class_washing(category, filepath, b=0.01):
         cursor_zi_new.execute(f"select stdvalue from ShuJuZiDian_Cfg where categoryname='{category}' and subtitle='{col_i.strip('*')}'")
         standard_value_fetchall=cursor_zi_new.fetchall()
         if not standard_value_fetchall:
-            print(f"{col_i.strip('*')} 不在 ShuJuZiDian_Cfg,请检查。该参数项在此次运行中未被采用")
+            print(f"{col_i.strip('*')} 不在 ShuJuZiDian_Cfg,请检查。该参数项在此次运行中未被采用,代码继续运行")
             continue
 
         standard_value=[]

公共代码/产品重复型号分析.py

@@ -160,7 +160,9 @@ def product_washing(filepath, category, thre=1, a=0):
     for column in df.columns:
         worksheet.write_string(row, col, column, bold_format)
         col += 1
-    worksheet.write_string(row, col, '正确产品编号', bold_format)
+    worksheet.write_string(row, col, '正确产品编码', bold_format)
+    col += 1
+    worksheet.write_string(row, col, '正确产品名称', bold_format)
     row = 1
     col = 0
     for item in related_product: