时间:2020-10-19来源:www.pcxitongcheng.com作者:电脑系统城
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
- Sample1
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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
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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
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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
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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
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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
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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
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