Python调用REST API接口的几种方式汇总

相信做过自动化运维的同学都用过REST API接口来完成某些动作。API是一套成熟系统所必需的接口，可以被其他系统或脚本来调用，这也是自动化运维的必修课。

本文主要介绍python中调用REST API的几种方式，下面是python中会用到的库。

• - urllib2
• - httplib2
• - pycurl
• - requests

urllib2

- Sample1

import urllib2, urllib
github_url = 'https://api.github.com/user/repos'
password_manager = urllib2.HTTPPasswordMgrWithDefaultRealm()
password_manager.add_password(None, github_url, 'user', '***')
auth = urllib2.HTTPBasicAuthHandler(password_manager) # create an authentication handler
opener = urllib2.build_opener(auth) # create an opener with the authentication handler
urllib2.install_opener(opener) # install the opener... 
request = urllib2.Request(github_url, urllib.urlencode({'name':'Test repo', 'description': 'Some test repository'})) # Manual encoding required
handler = urllib2.urlopen(request)
print handler.read()

- Sample2

import urllib2
url = 'http://ems.vip.ebay.com/removeSIforcloud.cgi?ip=' + ip
req = urllib2.Request(url)
req.add_header('IAF',abc.token_authiaas)
try:
  resp = urllib2.urlopen(req)
except urllib2.HTTPError, error:
  print "Cannot remove service instance!", error
  sys.exit(1)
response = resp.read()
print response

- Sample3

import urllib2, urllib, base64
url = "https://reparo.stratus.ebay.com/reparo/bootstrap/registerasset/" + rackid + "/" + asset
data = urllib.urlencode({
        'reservedResource':'RR-Hadoop',
        'resourceCapability':'Production',
        'movetoironic':'False',
        'output':'json'
    })
print "Bootstrap Asset jobs starting .............."

base64string = base64.encodestring('%s:%s' % (user, passwd)).replace('\n', '')
request = urllib2.Request(url, data, headers={"Authorization" : "Basic %s" % base64string})
response = urllib2.urlopen(request).read()
response_json = json.loads(response)
response_status = response_json['status']
status_code = response_status['statusCode']
status = response_status['status']
message = response_status['message']      
print status_code , status, message

2. httplib2

import urllib, httplib2
github_url = '
h = httplib2.Http(".cache")
h.add_credentials("user", "******", "
data = urllib.urlencode({"name":"test"})
resp, content = h.request(github_url, "POST", data)
print content

3. pycurl

import pycurl, json
github_url = "
user_pwd = "user:*****"
data = json.dumps({"name": "test_repo", "description": "Some test repo"})
c = pycurl.Curl()
c.setopt(pycurl.URL, github_url)
c.setopt(pycurl.USERPWD, user_pwd)
c.setopt(pycurl.POST, 1)
c.setopt(pycurl.POSTFIELDS, data)
c.perform()

4. requests

import requests, json
github_url = "
data = json.dumps({'name':'test', 'description':'some test repo'}) 
r = requests.post(github_url, data, auth=('user', '*****'))
print r.json

以上几种方式都可以调用API来执行动作，但requests这种方式代码最简洁，最清晰，建议采用。

以上就是Python调用REST API接口的几种方式汇总的详细内容，更多关于Python调用REST API接口的资料请关注易盾网络其它相关文章！