Python调用REST API接口的几种方式汇总

时间:2021-05-22

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, urllibgithub_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 handleropener = urllib2.build_opener(auth) # create an opener with the authentication handlerurllib2.install_opener(opener) # install the opener... request = urllib2.Request(github_url, urllib.urlencode({'name':'Test repo', 'description': 'Some test repository'})) # Manual encoding requiredhandler = urllib2.urlopen(request)print handler.read()

- Sample2

import urllib2url = 'http://ems.vip.ebay.com/removeSIforcloud.cgi?ip=' + ipreq = 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, base64url = "https://reparo.stratus.ebay.com/reparo/bootstrap/registerasset/" + rackid + "/" + assetdata = 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, httplib2github_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, jsongithub_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, jsongithub_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接口的资料请关注其它相关文章!

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