Python接口测试之requests

x33g5p2x  于2021-10-12 转载在 Python  
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1.简介

  1. requests是一个很实用的Python HTTP客户端库,编写爬虫和测试服务器响应数据时
  2. 经常会用到,RequestsPython语言的第三方的库,专门用于发送HTTP请求

2.前提

要下载requests

  1. pip install requests

3.Get请求

1.无参数请求

  1. r=requests.get('http://www.baidu.com')

2.有参数请求

  1. payload = {'key1': 'value1', 'key2': 'value2', 'key3': None}
  2. r = requests.get('http://www.baidu.com ', params=payload)

案例:

  1. import requests
  2. class UseRequest():
  3. # get传参的第一种方式
  4. def GetMethod(self):
  5. r=requests.get("http://v.juhe.cn/toutiao/index?type=guonei&key=4b72107"
  6. "de3a197b3bafd9adacf685790")
  7. print(r.text)
  8. # get传参的第二种方式
  9. def GetMethod1(self):
  10. params = {"type": "guonei", "key": "4b72107de3a197b3bafd9adacf685790"}
  11. r = requests.get("http://v.juhe.cn/toutiao/index", params=params)
  12. print(r)
  13. u=UseRequest()
  14. u.GetMethod()
  15. u.GetMethod1()

4.Post请求

类似python中的表单提交

  1. payload = {'key1': 'value1', 'key2': 'value2'}
  2. r = requests.post("http://httpbin.org/post", data=payload)

案例:

  1. import requests
  2. class UseRequest():
  3. # post传参的方式
  4. def PostMethod(self):
  5. params = {"type": "guonei", "key": "4b72107de3a197b3bafd9adacf685790"}
  6. r = requests.post("http://v.juhe.cn/toutiao/index", data=params)
  7. print(r.status_code)
  8. # return r.status_code
  9. u=UseRequest()
  10. u.PostMethod()

5.requests响应

  1. print(r.status_code) # 响应状态码
  2. print(r.headers) # 响应头
  3. print(r.cookies) # 响应cookie
  4. print(r.text) #响应文本
  5. print(r.encoding) # 当前编码
  6. print(r.content) #以字节形式(二进制)返回

最常用的是根据响应状态码判断接口是否连通,经常用于做接口中断言判断

6.requests扩充

  1. 1:添加等待时间
  2. requests.get(url,timeout=1) #超过等待时间则报错
  3. 2:添加请求头信息
  4. requests.get(url,headers=headers) #设置请求头
  5. 3:添加文件
  6. requests.post(url, files=files) #添加文件

文件传输

  1. url = 'http://httpbin.org/post'
  2. files = {'file': open('report.xls', 'rb')}
  3. r = requests.post(url, files=files)

7.requests+pytest+allure

流程如下

  1. 读取文件中的数据
  2. requests拿到数据请求接口返回状态码
  3. 通过断言验证返回状态码和200对比
  4. 生成allure的测试报告

读取csv文件流程

1.存储数据

2.读取数据

  1. import csv
  2. class ReadCsv():
  3. def readCsv(self):
  4. item = []
  5. rr = csv.reader(open("../data/test_csv.csv"))
  6. for csv_i in rr:
  7. item.append(csv_i)
  8. del item[0]
  9. return item
  10. r=ReadCsv()
  11. print(r.readCsv())

3.requests请求接口返回状态码

  1. import requests
  2. from readdata.readcsv import ReadCsv
  3. r=ReadCsv()
  4. lists=r.readCsv()
  5. items=[]
  6. class RequestsClass():
  7. def requestMethod(self):
  8. for i in lists:
  9. if i[2]=='get':
  10. r=requests.get(i[0],params=i[1])
  11. items.append(r.status_code)
  12. else:
  13. r = requests.post(i[0], data=i[1])
  14. items.append(r.status_code)
  15. return items
  16. req=RequestsClass()
  17. print(req.requestMethod())

4.pytest断言设置并结合allure生成测试报告

  1. import pytest,os
  2. from requestsdemo.requestcsv import RequestsClass
  3. r=RequestsClass()
  4. rr=r.requestMethod()
  5. class TestRequestsClass():
  6. def testCsv(self):
  7. for i in rr:
  8. assert i==200
  9. if __name__ == '__main__':
  10. pytest.main(['--alluredir', 'report/result', 'test_csv.py'])
  11. split = 'allure ' + 'generate ' + './report/result ' + '-o ' + './report/html ' + '--clean'
  12. os.system(split)

5.测试报告展示

读取excel文件流程

1.存储数据

2.读取数据

  1. from openpyxl import load_workbook
  2. class UseExcel():
  3. def get_TestExcel(self):
  4. # 打开表
  5. workbook = load_workbook('../data/test_exc.xlsx')
  6. # 定位表单
  7. sheet = workbook['Sheet1']
  8. print(sheet.max_row) #3 行
  9. print(sheet.max_column) #3 列
  10. test_data = []#把所有行的数据放到列表中
  11. for i in range(2,sheet.max_row+1):
  12. sub_data = {}#把每行的数据放到字典中
  13. for j in range(1,sheet.max_column+1):
  14. sub_data[sheet.cell(1,j).value] = sheet.cell(i,j).value
  15. test_data.append(sub_data)#拼接每行单元格的数据
  16. return test_data
  17. t = UseExcel()
  18. f = t.get_TestExcel()
  19. print(f)

3.requests请求接口返回状态码

  1. import requests
  2. from readdata.readexcel import UseExcel
  3. u=UseExcel()
  4. lists=u.get_TestExcel()
  5. items=[]
  6. class RequestsExcClass():
  7. def requestExcMethod(self):
  8. for i in lists:
  9. if i.get('method')=='get':
  10. r=requests.get(i['url'],params=i['params'])
  11. items.append(r.status_code)
  12. else:
  13. r = requests.post(i['url'], data=i['params'])
  14. items.append(r.status_code)
  15. return items
  16. r=RequestsExcClass()
  17. print(r.requestExcMethod())

4.pytest断言设置并结合allure生成测试报告

  1. import pytest,os
  2. from requestsdemo.requestexc import RequestsExcClass
  3. r=RequestsExcClass()
  4. lists=r.requestExcMethod()
  5. class TestRequestsClass():
  6. def testMethod(self):
  7. for i in lists:
  8. assert i==200
  9. if __name__ == '__main__':
  10. # 生成测试报告json
  11. pytest.main(['--alluredir', 'report/result', 'test_exc.py'])
  12. # 将测试报告转为html格式
  13. split = 'allure ' + 'generate ' + './report/result ' + '-o ' + './report/html ' + '--clean'
  14. os.system(split)

5.测试报告展示

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