Python接口自动化测试 Python接口自动化测试的实现
小小尧 人气:01)环境准备:
接口测试的方式有很多,比如可以用工具(jmeter,postman)之类,也可以自己写代码进行接口测试,工具的使用相对来说都比较简单,重点是要搞清楚项目接口的协议是什么,然后有针对性的进行选择,甚至当工具不太适合项目时需要自己进行开发。
在我们项目的初期,我们采用的是jmeter进行接口测试,当时觉得这个工具上手简单,团队成员学习成本低,并且接口测试的脚本稍微调整一下还可以用来做性能测试。
不过随着项目规模、团队人数的不断增长,渐渐的这个工具有适应不了当前项目的需求了,为此我们项目也重新开发了相关接口自动化的平台。但是,但是。。。可能是我让大家中毒太深,现在很多同学一提到接口测试关联到jmeter,为此,我深深感到不安。毕竟jmeter只是个工具,换个项目换个协议你是否还能玩转接口测试呢?session和cookie有什么区别?工具又是怎么实现的呢?
比如session如何保存,接口依赖如何处理,case如何管理及执行顺序,测试数据如何管理等等题,这个过程也有助于我们更加深刻的理解接口测试和http协议。
本文主要采用python语言,python中http协议接口相关的库有urllib,urllib2以及reqeusts库,这其中reqeusts库用来起来最方便,因此我也主要采用requests库来做http协议的接口测试。首先来看下需要哪些环境信息:
一、安装python
mac下自带安装了python,这个不多说了。
二、安装虚拟环境:
我们在一台机器上可以安装多个python版本,为了使每个版本的环境相互不受干扰,可以安装虚拟环境,安装方法如下:
1、安装virtualenv:pip install virtualenv
2、新建名为venv的虚拟环境:virtualenv venv
3、进入新环境:source venv/bin/activate
4、退出:deactivate
三、安装requests库:
>>>pip install requests
ps:用python做http协议的接口测试会用到这个库。
四、http测试工具:
一个使用 Python + Flask 编写的 HTTP 请求和响应服务,该服务主要用于测试 HTTP 库。后续测试我们都基于这个网站。
五、在本地搭建httpbin:
考虑到测试时要不断访问 httpbin 网站,请求过多担心被拉到黑名单,我们自己在本志搭建一套httpbin服务。
1、安装:pip install gunicorn
2、安装:pip install httpbin
3、启动:gunicorn httpbin:app
至此,环境搭建已经完毕,可以开始玩了~
(2)requests.get()
环境搭建好后,接下来我们先来了解一下requests的一些简单使用,主要包括:
requests常用请求方法使用,包括:get,postrequests库中的Session、Cookie的使用其它高级部分:认证、代理、证书验证、超时配置、错误异常处理等。
本节首先来了解一下requests库中如何发送get请求:
一、看下方法定义:
1、到官方文档去了下requests.get()方法的定义,如下:
2、点击右上角的【source】,看一下它的源码如下:
看到最后一行return,get方法最后是通过调用 requests.request方法实现的,其实在其它的请求方法如post,put,head,delete等方法都是调用的request方法,然后把请求方法的类型传递给request方法第一个参数。
3、HTTP协议是一个基于请求/响应模式的、无状态的,应用层协议。既然有请求,就有响应,来看下resquest中常用的响应信息:
二、get方法简单使用:
1、不带参数的get:
# -*- coding:utf-8 -*- #不带参数的get import requests import json host = "http://httpbin.org/" endpoint = "get" url = ''.join([host,endpoint]) r = requests.get(url) #response = r.json() print type(r.text) print (eval(r.text))
输出:
{ 'origin': '183.14.133.88', 'headers': { 'Connection': 'close', 'Host': 'httpbin.org', 'Accept-Encoding': 'gzip, deflate', 'Accept': '*/*', 'User-Agent': 'python-requests/2.18.1' }, 'args': { }, 'url': 'http: //httpbin.org/get' }
2、 带参数的get:
# -*- coding:utf-8 -*- #带参数的get import requests import json host = "http://httpbin.org/" endpoint = "get" url = ''.join([host,endpoint]) params = {"show_env":"1"} r = requests.get(url=url,params=params) print r.url
输出:
http://httpbin.org/get?show_env=1 { 'origin': '183.14.133.88', 'headers': { 'X-Request-Id': 'ebe922b4-c463-4fe9-9faf-49748d682fd7', 'Accept-Encoding': 'gzip, deflate', 'X-Forwarded-Port': '80', 'Total-Route-Time': '0', 'Connection': 'close', 'Connect-Time': '0', 'Via': '1.1vegur', 'X-Forwarded-For': '183.14.133.88', 'Accept': '*/*', 'User-Agent': 'python-requests/2.18.1', 'X-Request-Start': '1504755961007', 'Host': 'httpbin.org', 'X-Forwarded-Proto': 'http' }, 'args': { 'show_env': '1' }, 'url': 'http: //httpbin.org/get?show_env=1' }
3、带header的get:
# -*- coding:utf-8 -*- import requests import json host = "http://httpbin.org/" endpoint = "get" url = ''.join([host,endpoint]) headers = {"User-Agent":"test request headers"} r = requests.get(url) r = requests.get(url,headers=headers) #response = r.json() print (eval(r.text))['headers']['User-Agent']
输出:
test request headers
4、同时带参数和header:
# -*- coding:utf-8 -*- import requests import json host = "http://httpbin.org/" endpoint = "get" url = ''.join([host,endpoint]) headers = {"User-Agent":"test request headers"} params = {"show_env":"1"} r = requests.get(url) r = requests.get(url,headers=headers,params=params) #response = r.json() print (eval(r.text))['headers']['User-Agent'] print r.url
输出:
test request headers http://httpbin.org/get?show_env=1
(3)requests.post()
一、方法定义
二、post方法简单使用
1、带数据的post
2、带header的post
3、带json的post
4、带参数的post
5、普通文件上传
6、定制化文件上传
7、多文件上传
一、方法定义:
1、到官方文档去了下requests.post()方法的定义,如下:
2、源码:
3、常用返回信息:
二、post方法简单使用:
1、带数据的post:
# -*- coding:utf-8 -*- import requests import json host = "http://httpbin.org/" endpoint = "post" url = ''.join([host,endpoint]) data = {'key1':'value1','key2':'value2'} r = requests.post(url,data=data) #response = r.json() print (r.text)
输出:
{ "args": {}, "data": "", "files": {}, "form": { "key1": "value1", "key2": "value2" }, "headers": { "Accept": "*/*", "Accept-Encoding": "gzip, deflate", "Connection": "close", "Content-Length": "23", "Content-Type": "application/x-www-form-urlencoded", "Host": "httpbin.org", "User-Agent": "python-requests/2.18.1" }, "json": null, "origin": "183.14.133.88", "url": "http://httpbin.org/post" }
2、带header的post:
# -*- coding:utf-8 -*- import requests import json host = "http://httpbin.org/" endpoint = "post" url = ''.join([host,endpoint]) headers = {"User-Agent":"test request headers"} # r = requests.post(url) r = requests.post(url,headers=headers) #response = r.json()
输出:
{ "args": {}, "data": "", "files": {}, "form": {}, "headers": { "Accept": "*/*", "Accept-Encoding": "gzip, deflate", "Connection": "close", "Content-Length": "0", "Host": "httpbin.org", "User-Agent": "test request headers" }, "json": null, "origin": "183.14.133.88", "url": "http://httpbin.org/post" }
3、带json的post:
# -*- coding:utf-8 -*- import requests import json host = "http://httpbin.org/" endpoint = "post" url = ''.join([host,endpoint]) data = { "sites": [ { "name":"test" , "url":"www.test.com" }, { "name":"google" , "url":"www.google.com" }, { "name":"weibo" , "url":"www.weibo.com" } ] } r = requests.post(url,json=data) # r = requests.post(url,data=json.dumps(data)) response = r.json()
输出:
{ "args": {}, "data": "{\"sites\": [{\"url\": \"www.test.com\", \"name\": \"test\"}, {\"url\": \"www.google.com\", \"name\": \"google\"}, {\"url\": \"www.weibo.com\", \"name\": \"weibo\"}]}", "files": {}, "form": {}, "headers": { "Accept": "*/*", "Accept-Encoding": "gzip, deflate", "Connection": "close", "Content-Length": "140", "Content-Type": "application/json", "Host": "httpbin.org", "User-Agent": "python-requests/2.18.1" }, "json": { "sites": [ { "name": "test", "url": "www.test.com" }, { "name": "google", "url": "www.google.com" }, { "name": "weibo", "url": "www.weibo.com" } ] }, "origin": "183.14.133.88", "url": "http://httpbin.org/post" }
4、带参数的post:
# -*- coding:utf-8 -*- import requests import json host = "http://httpbin.org/" endpoint = "post" url = ''.join([host,endpoint]) params = {'key1':'params1','key2':'params2'} # r = requests.post(url) r = requests.post(url,params=params) #response = r.json() print (r.text)
输出:
{ "args": { "key1": "params1", "key2": "params2" }, "data": "", "files": {}, "form": {}, "headers": { "Accept": "*/*", "Accept-Encoding": "gzip, deflate", "Connection": "close", "Content-Length": "0", "Host": "httpbin.org", "User-Agent": "python-requests/2.18.1" }, "json": null, "origin": "183.14.133.88", "url": "http://httpbin.org/post?key2=params2&key1=params1" }
5.普通文件上传:
# -*- coding:utf-8 -*- import requests import json host = "http://httpbin.org/" endpoint = "post" url = ''.join([host,endpoint]) #普通上传 files = { 'file':open('test.txt','rb') } r = requests.post(url,files=files) print (r.text)
输出:
{ "args": {}, "data": "", "files": { "file": "hello world!\n" }, "form": {}, "headers": { "Accept": "*/*", "Accept-Encoding": "gzip, deflate", "Connection": "close", "Content-Length": "157", "Content-Type": "multipart/form-data; boundary=392865f79bf6431f8a53c9d56c62571e", "Host": "httpbin.org", "User-Agent": "python-requests/2.18.1" }, "json": null, "origin": "183.14.133.88", "url": "http://httpbin.org/post" }
6.定制化文件上传:
# -*- coding:utf-8 -*- import requests import json host = "http://httpbin.org/" endpoint = "post" url = ''.join([host,endpoint]) #自定义文件名,文件类型、请求头 files = { 'file':('test.png',open('test.png','rb'),'image/png') } r = requests.post(url,files=files) print (r.text)heman793
7.多文件上传:
# -*- coding:utf-8 -*- import requests import json host = "http://httpbin.org/" endpoint = "post" url = ''.join([host,endpoint]) #多文件上传 files = [ ('file1',('test.txt',open('test.txt', 'rb'))), ('file2', ('test.png', open('test.png', 'rb'))) ] r = requests.post(url,files=files) print (r.text)
8.流式上传:
# -*- coding:utf-8 -*- import requests import json host = "http://httpbin.org/" endpoint = "post" url = ''.join([host,endpoint]) #流式上传 with open( 'test.txt' ) as f: r = requests.post(url,data = f) print (r.text)
输出:
{ "args": {}, "data": "hello world!\n", "files": {}, "form": {}, "headers": { "Accept": "*/*", "Accept-Encoding": "gzip, deflate", "Connection": "close", "Content-Length": "13", "Host": "httpbin.org", "User-Agent": "python-requests/2.18.1" }, "json": null, "origin": "183.14.133.88", "url": "http://httpbin.org/post" }
(4)Cookie&Session
掌握了前面几节的的内容,就可以做一些简单的http协议接口的请求发送了,但是这些还不够。HTTP协议是一个无状态的应用层协议,也就是说前后两次请求是没有任何关系的,那如果我们测试的接口之前有相互依赖关系怎么办呢(比如我要在博客园发文章,是需要先登录的),这时我们就要用到cookie和session技术来保持客户端与服务器端连接的状态,这也就是本节要介绍的内容:
一、Cookie:
1、获取cookie:
# -*- coding:utf-8 -*- #获取cookie import requests import json url = "https://www.baidu.com/" r = requests.get(url) #将RequestsCookieJar转换成字典 c = requests.utils.dict_from_cookiejar(r.cookies) print r.cookies print c for a in r.cookies: print a.name,a.value
输出:
<RequestsCookieJar[<Cookie BDORZ=27315 for .baidu.com/>]> {'BDORZ': '27315'} BDORZ 27315
2、发送Cookie
# -*- coding:utf-8 -*- #发送cookie到服务器 import requests import json host = "http://httpbin.org/" endpoint = "cookies" url = ''.join([host,endpoint]) #方法一:简单发送 # cookies = {"aaa":"bbb"} # r = requests.get(url,cookies=cookies) # print r.text #方法二:复杂发送 s = requests.session() c = requests.cookies.RequestsCookieJar() c.set('c-name','c-value',path='/xxx/uuu',domain='.test.com') s.cookies.update(c)
二、Session
1、保持会话同步:
# -*- coding:utf-8 -*- import requests import json host = "http://httpbin.org/" endpoint = "cookies" url = ''.join([host,endpoint]) url1 = "http://httpbin.org/cookies/set/sessioncookie/123456789" r = requests.get(url) print r.text print "------" s = requests.session() #初始化一个session对象 s.get(url1) #cookie的信息存在了session中 r = s.get(url) print r.text
输出:
{ "cookies": {} } ------ { "cookies": { "sessioncookie": "123456789" } }
2、保存绘画信息:
# -*- coding:utf-8 -*- import requests import json host = "http://httpbin.org/" endpoint = "headers" url = ''.join([host,endpoint]) header1 = {"testA":"AAA"} header2 = {"testB":"BBB"} s = requests.session() #初始化一个session对象 s.headers.update(header1) #已经存在于服务中的信息 r = s.get(url,headers=header2) #发送新的信息 print r.text
输出:
{ "headers": { "Accept": "*/*", "Accept-Encoding": "gzip, deflate", "Connection": "close", "Host": "httpbin.org", "Testa": "AAA", "Testb": "BBB", "User-Agent": "python-requests/2.18.1" } }
3.删除已存在的会话信息,保存为None
# -*- coding:utf-8 -*- import requests import json host = "http://httpbin.org/" endpoint = "headers" url = ''.join([host,endpoint]) header1 = {"testA":"AAA"} header2 = {"testB":"BBB"} s = requests.session() #初始化一个session对象 s.headers.update(header1) #已经存在于服务中的信息 r = s.get(url,headers=header2) #发送新的信息 print r.text print '--------' s.headers['testA'] = None #删除会话里的信息testA r1 = s.get(url,headers = header2) print r1.text
{ "headers": { "Accept": "*/*", "Accept-Encoding": "gzip, deflate", "Connection": "close", "Host": "httpbin.org", "Testa": "AAA", "Testb": "BBB", "User-Agent": "python-requests/2.18.1" } } -------- { "headers": { "Accept": "*/*", "Accept-Encoding": "gzip, deflate", "Connection": "close", "Host": "httpbin.org", "Testb": "BBB", "User-Agent": "python-requests/2.18.1" } }
4、提供默认数据:
s = requests.Session() s.auth = ('user', 'pass') s.headers.update({'x-test': 'true'}) # both 'x-test' and 'x-test2' are sent s.get('http://httpbin.org/headers', headers={'x-test2': 'true'})
参考:
http://docs.python-requests.org/en/master/user/quickstart/
http://docs.python-requests.org/en/master/user/advanced/
(5)其他(认证&代理&超时设置)
一、认证
1、基本认证:
# -*- coding:utf-8 -*- import requests url = "http://httpbin.org/basic-auth/user/passwd" r1 = requests.get(url) print "未提供用户名密码:" + str(r1.status_code) #Basic Authentication r2 = requests.get(url,auth=('user','passwd')) print "已提供用户名密码:" + str(r2.status_code)
输出:
未提供用户名密码:401
已提供用户名密码:200
2、数字认证:
>>> from requests.auth import HTTPDigestAuth >>> url = 'http://httpbin.org/digest-auth/auth/user/pass' >>> requests.get(url, auth=HTTPDigestAuth('user', 'pass')) <Response [200]>
3、OAuth认证:
参考:http://docs.python-requests.org/en/master/user/authentication/
二、代理
1、方法一:proxy参数:
import requests proxies = { "https": "http://41.118.132.69:4433" } r = requests.post("http://httpbin.org/post", proxies=proxies) print r.text
2、方法二:设置环境变量:
$ export HTTP_PROXY="http://10.10.1.10:3128" $ export HTTPS_PROXY="http://10.10.1.10:1080" $ python >>> import requests >>> requests.get('http://example.org')
3、HTTP Basic Auth使用代理方法:http://user:password@host/
proxies = {'http': 'http://user:pass@10.10.1.10:3128/'}
三、证书验证
1、SSL证书(HTTPS):
import requests #跳过12306 的证书验证,把 verify 设置为 False: r = requests.get('https://kyfw.12306.cn/otn/', verify=False) print r.text
2、客户端证书:
>>> requests.get('https://kennethreitz.org', cert=('/path/client.cert', '/path/client.key')) <Response [200]>
or
s = requests.Session() s.cert = '/path/client.cert'
四、超时配置
1 、利用timeout参数来配置最大请求时间:
r = requests.get('https://github.com', timeout=5)
2、设置timeout=None,告诉请求永远等待响应,而不将请求作为超时值传递
r = requests.get('https://github.com', timeout=None)
五、错误异常:
1、所有Requests显式抛出的异常都继承自:requests.exctptions.RequestException
2、遇到网络问题(如:DNS查询失败,拒绝连接等)时,requests会抛出一个ConnectionError异常
3、遇到罕见的无效HTTP响应时,Request则会抛出一个HTTPError异常
4、若请求超时,则抛出一个Timeout异常
5、若请求超过了最大的重写向次数,则会抛出一个TooManyRedirects异常
(6)unittest-单个用例管理:
上面主要介绍了环境搭建和requests库的使用,可以使用这些进行接口请求的发送。但是如何管理接口案例?返回结果如何自动校验?这些内容光靠上面五节是不行的,因此从本节开始我们引入python单元测试框架 unittest,用它来处理批量用例管理,校验返回结果,初始化工作以及测试完成后的环境复原工作等等。
一、单个用例管理起来比较简单,参考如下图,单个用例一般多用在调试的时候:
二、代码如下:
# -*- coding:utf-8 -*- # 单个用例执行 # 1、导入模块 import unittest # 2、继承自unittest.TestCase类 class TestOne(unittest.TestCase): # 3、配置环境:进行测试前的初始化工作 def setUp(self): print '\ncases before' pass # 4、定义测试用例,名字以“test”开头 def test_add(self): '''test add method''' print 'add...' a = 3 + 4 b = 7 # 5、定义assert断言,判断测试结果 self.assertEqual(a, b) def test_sub(self): '''test sub method''' print 'sub...' a = 10 - 5 b = 4 self.assertEqual(a, b) # 6、清理环境 def tearDown(self): print 'case after' pass # 7、该方法会搜索该模块下所有以test开头的测试用例方法,并自动执行它们 if __name__ == '__main__': unittest.main()
输出:
Ran 2 tests in 0.001s OK cases before add... case after cases before sub... case after Process finished with exit code 0
(8)unittest-生成测试报告:
用例的管理问题解决了后,接下来要考虑的就是报告我问题了,这里生成测试报告主要用到HTMLTestRunner.py 这个模块,下面简单介绍一下如何使用:
一、下载HTMLTestRunner下载:
这个模块不能通过pip安装,只能下载安装,下载地址如下:
python2.x版本:http://tungwaiyip.info/software/HTMLTestRunner.html
python3.x版本:http://hzqldjb.blog.51cto.com/9587820/1590802
二、mac下配置:
1、终端进入python环境
2、输入:
import sys print sys.path
3、找到site-packages文件夹的路径并将下载的HTMLTestRunner.py文件拷贝到此的文件夹下
4、在python环境下,输入 import HTMLTestRunner 不报错即安装成功
三、使用该模块生成报告:
1、目录结构
- case包下面有baidu,httpbin两个包
- 每个包下面分别有两个测试的py文件
- 每个test_00x.py文件里各有2个test case
- run_all_case.py文件:用来执行所有的test case且生成测试报告
2、运行后生成报告如下:
3、run_all_case.py代码如下:
# -*- coding:utf-8 -*- import unittest import os import time import HTMLTestRunner # 用例路径 case_path = os.path.join(os.getcwd()) # 报告存放路径 report_path = os.path.join(os.getcwd(), 'report') print report_path def all_case(): discover = unittest.defaultTestLoader.discover(case_path, pattern="test*.py", top_level_dir=None) print discover return discover if __name__ == '__main__': # 1、获取当前时间,这样便于下面的使用。 now = time.strftime("%Y-%m-%d-%H_%M_%S", time.localtime(time.time())) # 2、html报告文件路径 report_abspath = os.path.join(report_path, "result_"+now+".html") # 3、打开一个文件,将result写入此file中 fp = open(report_abspath, "wb") runner = HTMLTestRunner.HTMLTestRunner(stream=fp, title=u'接口自动化测试报告,测试结果如下:', description=u'用例执行情况:') # 4、调用add_case函数返回值 runner.run(all_case()) fp.close()
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