Python代码实现扁平化字典

 1 in_data= {
 2     u‘deliveryOrder‘: {
 3         u‘warehouseCode‘: u‘OTHER‘,
 4         u‘deliveryOrderCode‘: u‘3600120100000‘,
 5         u‘receiverInfo‘: {
 6             u‘detailAddress‘: u‘\u5927\u5382\u680818\u53f7101‘,
 7             u‘city‘: u‘\u4e94\u8fde‘,
 8             u‘province‘: u‘\u5c71\u4e1c‘,
 9             u‘area‘: u‘\u5927\u5382‘
10         },
11         u‘senderInfo‘: {
12             u‘detailAddress‘: u‘\u6587\u4e09\u8def172\u53f7‘,
13             u‘city‘: u‘\u676d\u5dde‘,
14         },
15     },
16     u‘orderLines‘: {
17         u‘orderLine‘: {
18             u‘itemId‘: u‘0192010101‘,
19             u‘planQty‘: u‘20‘,
20         }
21     }
22 }
23 
24 #定义key的转换规则
25 match_list = {‘area‘: ‘receiver_area‘, ‘city‘: ‘receiver_city‘, ‘deliveryOrderCode‘: ‘express_code‘,‘detailAddress‘: ‘receiver_address‘,‘province‘: ‘receiver_province‘,‘warehouseCode‘: ‘warehouse_code‘}
26 
27 #初始化out_data
28 out_data={}
29 
30 
31 def trans(in_data, match_list):
32     #在新建的out_data中写入key和value
33     for k,v in in_data.items():
34         if (isinstance(v, dict)):
35             if k == ‘orderLines‘:
36                 out_data[‘lines‘]= [{‘item_id‘:v[‘orderLine‘][‘itemId‘], ‘product_qty‘:v[‘orderLine‘][‘planQty‘]}]
37             elif k == ‘senderInfo‘:
38                 out_data[‘sender_city‘] = v[‘city‘]
39                 out_data[‘sender_address‘] = v[‘detailAddress‘]
40             else:
41                 trans(v, match_list)
42         else:
43             out_data[k] = v
44 
45     #将out_data的key变换成目标key
46     for k,v in out_data.items():
47         if k in match_list.keys():
48             out_data[match_list[k]] = v
49             del out_data[k]
50 
51     #返回out_data
52     print("in_data:{}".format(in_data))
53     print("out_data:{}\n".format(out_data))54     return out_data
55 trans(in_data, match_list)

 1 in_data:{‘detailAddress‘: ‘大厂栈18号101‘, ‘city‘: ‘五连‘, ‘province‘: ‘山东‘, ‘area‘: ‘大厂‘}
 2 out_data:{‘receiver_address‘: ‘大厂栈18号101‘, ‘receiver_area‘: ‘大厂‘, ‘receiver_province‘: ‘山东‘, ‘sender_city‘: ‘杭州‘, ‘receiver_city‘: ‘五连‘, ‘sender_address‘: ‘文三路172号‘}
 3 
 4 in_data:{‘senderInfo‘: {‘detailAddress‘: ‘文三路172号‘, ‘city‘: ‘杭州‘}, ‘receiverInfo‘: {‘detailAddress‘: ‘大厂栈18号101‘, ‘city‘: ‘五连‘, ‘province‘: ‘山东‘, ‘area‘: ‘大厂‘}, ‘deliveryOrderCode‘: ‘3600120100000‘, ‘warehouseCode‘: ‘OTHER‘}
 5 out_data:{‘receiver_address‘: ‘大厂栈18号101‘, ‘warehouse_code‘: ‘OTHER‘, ‘receiver_area‘: ‘大厂‘, ‘receiver_province‘: ‘山东‘, ‘express_code‘: ‘3600120100000‘, ‘sender_city‘: ‘杭州‘, ‘receiver_city‘: ‘五连‘, ‘sender_address‘: ‘文三路172号‘}
 6 
 7 in_data:{‘deliveryOrder‘: {‘senderInfo‘: {‘detailAddress‘: ‘文三路172号‘, ‘city‘: ‘杭州‘}, ‘receiverInfo‘: {‘detailAddress‘: ‘大厂栈18号101‘, ‘city‘: ‘五连‘, ‘province‘: ‘山东‘, ‘area‘: ‘大厂‘}, ‘deliveryOrderCode‘: ‘3600120100000‘, ‘warehouseCode‘: ‘OTHER‘}, ‘orderLines‘: {‘orderLine‘: {‘planQty‘: ‘20‘, ‘itemId‘: ‘0192010101‘}}}
 8 out_data:{‘receiver_address‘: ‘大厂栈18号101‘, ‘warehouse_code‘: ‘OTHER‘, ‘receiver_area‘: ‘大厂‘, ‘receiver_province‘: ‘山东‘, ‘express_code‘: ‘3600120100000‘, ‘sender_city‘: ‘杭州‘, ‘lines‘: [{‘product_qty‘: ‘20‘, ‘item_id‘: ‘0192010101‘}], ‘receiver_city‘: ‘五连‘, ‘sender_address‘: ‘文三路172号‘}