实际项目中用python脚本实现接口测试的步骤：
1 发送请求，获取响应 》》 2 提取响应里的数据，对数据进行必要的处理 》》 3 断言响应数据是否与预期一致
以豆瓣接口为例，做一个简单的接口测试吧。使用到的知识涉及requests库，json库。
1 发送请求，获取响应
python
#coding:utf-8
'''
dinghanhua
2018-11-10
接口返回数据为json类型，提取数据实例
'''
import requests
import json
q = 'python'
count = 3
url = 'https://api.douban.com/v2/book/search?q={0}&count={1}'.format(q,count)
response = requests.get(url) #请求并获取响应2 json解析响应数据
python
jsonstr = json.loads(response.text) #json解析响应文本
#或者jsonstr = response.json()
'''解析后的数据格式'''
print('响应解析后的类型：',type(jsonstr)) #dict
print('响应解析后的键值对个数：',len(jsonstr)) #字典键值对个数
for key in jsonstr: #打印出所有的keys
print(key ,end=' ')3 提取数据及数据处理
python
'''取json串里的值'''
books = jsonstr['books'] #取books对应的值
# print(type(books)) #list 数组
print('books共有%d本书'%len(books)) #数组元素个数
for book in books: #编辑books取每本书的信息
# print(type(book)) # book的类型
# for key in book: # book的keys
# print(key)
'''取出所需的字段'''
index = books.index(book) #索引
NO = str(index+1) #第几本书
average= book['rating']['average']
author = book['author'] #author是数组,可能有多个作者
authors = ','.join(author)
pubdate = book['pubdate']
title = book['title']
author_intro = book['author_intro']
summary = book['summary']
price = book['price']
'''格式化输出'''
print('NO.{NO}\n书名：{title}\n出版日期：{pubdate}\n平均分：{average}\n定价：{price}\n'
'作者：{author}\n{author_intro}\n内容简介：{summary}'.format(title = title,
NO = NO,
pubdate = pubdate,
author = authors,
author_intro = author_intro,
average = average,
price = price,
summary = summary))4 断言
python
'''断言'''
expectedtitle = ['Python编程：从入门到实践','利用Python进行数据分析','Python基础教程'] #预期结果（接口数据会变，根据实际情况添加预期结果）
if title == expectedtitle[index]:
print('test pass')
else:
print('test fail. The expected title is %s,but the actual title is: %s.'%(expectedtitle[index],title))好了，简单的接口测试脚本完成。完整代码：
python
#coding:utf-8
'''
dinghanhua
2018-11-10
接口返回数据为json类型，提取数据实例
'''
import requests
import json
q = 'python'
count = 3
url = 'https://api.douban.com/v2/book/search?q={0}&count={1}'.format(q,count)
response = requests.get(url) #请求并获取响应
jsonstr = json.loads(response.text) #json解析响应文本
#jsonstr = response.json()
'''解析后的数据格式'''
print('响应解析后的类型：',type(jsonstr)) #dict
print('响应解析后的键值对个数：',len(jsonstr)) #字典键值对个数
for key in jsonstr: #打印出所有的keys
print(key ,end=' ')
'''取json串里的值'''
books = jsonstr['books'] #取books对应的值
# print(type(books)) #list 数组
print('books共有%d本书'%len(books)) #数组元素个数
for book in books: #编辑books取每本书的信息
# print(type(book)) # book的类型
# for key in book: # book的keys
# print(key)
'''取出所需的字段'''
index = books.index(book) #索引
NO = str(index+1) #第几本书
average= book['rating']['average']
author = book['author'] #author是数组,可能有多个作者
authors = ','.join(author)
pubdate = book['pubdate']
title = book['title']
author_intro = book['author_intro']
summary = book['summary']
price = book['price']
'''格式化输出'''
print('NO.{NO}\n书名：{title}\n出版日期：{pubdate}\n平均分：{average}\n定价：{price}\n'
'作者：{author}\n{author_intro}\n内容简介：{summary}'.format(title = title,
NO = NO,
pubdate = pubdate,
author = authors,
author_intro = author_intro,
average = average,
price = price,
summary = summary))
'''断言'''
expectedtitle = ['Python编程：从入门到实践','利用Python进行数据分析','Python基础教程'] #预期结果
if title == expectedtitle[index]:
print('test pass')
else:
print('test fail. The expected title is %s,but the actual title is: %s.'%(expectedtitle[index],title))