add someline

waldom_data_process_RMB.py

@@ -46,14 +46,13 @@ class HandleCSV:
             logger.error("文件 %s 格式错误" % path)
             logger.error("文件 %s 格式错误" % path)
             return []
             return []
         for i in range(len(df.index.values)):
         for i in range(len(df.index.values)):
-            if i > 100:
-                break
             # print(df.loc[i, title_arr[0]])
             # print(df.loc[i, title_arr[0]])
             table = dict()
             table = dict()
             table['price_is_us'] = False
             table['price_is_us'] = False
             table['ladder_price'] = []
             table['ladder_price'] = []
             table['supplier_name'] = 'Waldom人民币'
             table['supplier_name'] = 'Waldom人民币'
             table['goods_sn'] = ''
             table['goods_sn'] = ''
+            table['multiple'] = '0'
             batch_sn_map = dict()
             batch_sn_map = dict()
             for j in range(len(title_arr)):
             for j in range(len(title_arr)):
                 ladder_item_map = dict()
                 ladder_item_map = dict()
@@ -72,9 +71,9 @@ class HandleCSV:
                         else:
                         else:
                             table['stock'] = int(data)
                             table['stock'] = int(data)
                 elif title_arr[j] == 'MOQ':
                 elif title_arr[j] == 'MOQ':
-                    table['moq'] = int(data)
+                    table['moq'] = str(data)
                 elif title_arr[j] in ladder_map:
                 elif title_arr[j] in ladder_map:
-                    if len(str(data).strip()) != 0 and str(data).strip().isdigit():
+                    if len(str(data).strip()) != 0 and str(data).strip() != "nan" and str(data).strip() != "NaN":
                         ladder_item_map['purchases'] = int(data)
                         ladder_item_map['purchases'] = int(data)
                         ladder_item_map['price_us'] = float(0)
                         ladder_item_map['price_us'] = float(0)
                         ladder_item_map['price_cn'] = float(df.loc[i, ladder_map[title_arr[j]]])
                         ladder_item_map['price_cn'] = float(df.loc[i, ladder_map[title_arr[j]]])
@@ -113,7 +112,7 @@ class HandleCSV:
 
 
 if __name__ == '__main__':
 if __name__ == '__main__':
     start = time.time()
     start = time.time()
-    HandleCSV().parse('Tianyang_Inventory_Feed_RMB.csv')
+    HandleCSV().parse('Tianyang_Inventory_Feed_RMB.xlsx')
     end = time.time()
     end = time.time()
     print("spend time: " + str(end - start))
     print("spend time: " + str(end - start))