我从 open c for 'select * from ' || i.owner || '.<table_name>';
请求的JSON
响应中收到了以下POST
数组:
HTTP
鉴于[{
"username": "username_1",
"first_name": "",
"last_name": "",
"roles": "system_admin system_user",
"locale": "en",
"delete_at": 0,
"update_at": 1511335509393,
"create_at": 1511335500662,
"auth_service": "",
"email": "userid_1@provider_1.com",
"auth_data": "",
"position": "",
"nickname": "",
"id": "short-string-of-random-characters-1"
}, {
...
}
<more such objects>..]
给了我typeof(response)
,我如何在requests.models.Response
解析它?
答案 0 :(得分:2)
您可以尝试以下方式从json响应中获取值:
import json
content=[{
"username": "admin",
"first_name": "",
"last_name": "",
"roles": "system_admin system_user",
"locale": "en",
"delete_at": 0,
"update_at": 1511335509393,
"create_at": 1511335500662,
"auth_service": "",
"email": "adminuser@cognizant.com",
"auth_data": "",
"position": "",
"nickname": "",
"id": "pbjds5wmsp8cxr993nmc6ozodh"
}, {
"username": "chatops",
"first_name": "",
"last_name": "",
"roles": "system_user",
"locale": "en",
"delete_at": 0,
"update_at": 1511335743479,
"create_at": 1511335743393,
"auth_service": "",
"email": "chatops@cognizant.com",
"auth_data": "",
"position": "",
"nickname": "",
"id": "akxdddp5p7fjirxq7whhntq1nr"
}]
for item in content:
print("Name: {}\nEmail: {}\nID: {}\n".format(item['username'],item['email'],item['id']))
输出:
Name: admin
Email: adminuser@cognizant.com
ID: pbjds5wmsp8cxr993nmc6ozodh
Name: chatops
Email: chatops@cognizant.com
ID: akxdddp5p7fjirxq7whhntq1nr
答案 1 :(得分:0)
看看json module。更具体地说,解码JSON:&#39;部分。
import json
import requests
response = requests.get() # api call
users = json.loads(response.text)
for user in users:
print user['id']
答案 2 :(得分:-1)
您正在寻找的是json模块。使用它,您可以使用它将字符串解析为json格式:
git config --global credential.helper '!aws codecommit credential-helper $@'
git config --global credential.UseHttpPath true
答案 3 :(得分:-1)
使用python 3并导入urlib
import urllib.request
import json
url = link of the server
#Taking response and request from url
r = urllib.request.urlopen(url)
#reading and decoding the data
data = json.loads(r.read().decode(r.info().get_param('charset') or 'utf-8'))
for json_inner_array in data:
for json_data in json_inner_array:
print("id: "+json_data["id"])