Unittest框架+ddt数据驱动+HTMLTestRunner+sendmail（自动发送测试报告）+git+Jenkins
本次写的是针对有代码基础的，没基础建议先去学基础，以下所有描述内容都是我已经在公司项目实践成功的！仅供参考
整体思路：
1、接口自动化用的是Python中unittest框架
2、所有的测试数据用例存放Excel表
3、封装一套读取和写入的Excel方法
4、重写request方法（为了从Excel读取数据后对数据作分析和判断并在测试报告生成相关信息）
5、通过HTMLTestRunner运行测试用例生成网页版报告
6、将自动化脚本放到公司git上，方便其他人员获取你的代码进行编写脚本，后面会具体讲如何获取代码和提交代码（让运维人员给你开通个git账号，自己注册登录就可以了）
7、通过Jenkins构建任务，定时自动运行git上自动化脚本，后面会具体讲如何配置Jenkins
先看看我的接口自动化整个目录结构和每个文件具体是干嘛的：
一、读取表格的代码：
import xlrd,os,copy
import sys,os
#这三行代码是解决文件路径问题
curPath = os.path.abspath(os.path.dirname(__file__))
rootPath = os.path.split(curPath)[0]
sys.path.append(rootPath)
class ExcelUtil():
list=[]
list1 = []
def __init__(self,excelpath,sheetname='Sheet1'):
self.data=xlrd.open_workbook(excelpath)
self.table=self.data.sheet_by_name(sheetname)
#获取第一行作为key值
self.keys=self.table.row_values(0)
#获取总行数
self.rowNum=self.table.nrows
#获取总列数
self.colNum=self.table.ncols
#此方法有俩个用处：1、获取关闭或打开的case 2、不同模块的用例也可以通过该方法区分开来
def open_case(self):
exceldata = ExcelUtil(os.path.abspath(rootPath+'/Case/Ddt_case_api/TestCase.xlsx'), 'Sheet1')
list = []
list1 = []
list2=[]
for i in exceldata.dict_data():
a = i['control_case'] # 这是在Excel加的开关case的字段
if a == '':
list.append(i)
elif a=='mobile_请先登录':
list1.append(i)
elif a=='B_请先登录':
list2.append(i)
return list,list1,list2
# print(len(list))
def dict_data(self):
if self.rowNum<=1:
print('总行数小于1')
else:
r=[]
j=1
for i in range(self.rowNum-1):
s={}
s['rowNum']=i+2
values=self.table.row_values(j)
for x in range(self.colNum):
s[self.keys[x]]=values[x]
r.append(s)
j+=1
return r
#通过下面这个入口进行调试
if __name__=='__main__':
a=ExcelUtil('D:\Business_ManageMent\Case\Ddt_case_api\TestCase.xlsx')
b=a.open_case()
print(b)
二、写入表格代码：
from openpyxl import load_workbook
import openpyxl
import xlrd
def Copy_excel(exclepath1,excelpath2):
#把excle1数据复制到excel2
wb2=openpyxl.Workbook()
wb2.save(excelpath2)
wb1=load_workbook(exclepath1)
wb2=load_workbook(excelpath2)
sheets1=wb1.sheetnames
sheets2=wb2.sheetnames
sheet1=wb1[sheets1[0]]
sheet2=wb2[sheets2[0]]
maxrow=sheet1.max_row
maxcolum=sheet1.max_column
for m in range(1,maxrow+1):
for n in range(97,97+maxcolum):
n=chr(n)
i='%s%d'%(n,m)
cell1=sheet1[i].value
sheet2[i]=cell1
wb2.save(excelpath2)
wb1.close()
wb2.close()
class Write_excel():
def __init__(self,filename):
self.filename=filename
self.wb=load_workbook(self.filename)
#激活sheet
self.ws=self.wb.active
def write(self,row_n,col_n,value):
self.ws.cell(row_n,col_n).value=value
self.wb.save(self.filename)
#通过下面入口进行调试
if __name__=='__main__':
Copy_excel('D:\Business_ManageMent\Case\Ddt_case_api\TestCase.xlsx','D:\Business_ManageMent\Case\\result.xlsx')
wt=Write_excel('D:\Business_ManageMent\Case\\result.xlsx')
wt.write(1,2,'hello')
三、重写request方法及将接口返回结果根据自己的需要写入拷贝的那张Excel表中
import json
import requests
from Tool_class.read_excel_fz import ExcelUtil
from Tool_class.writeexcel_fz import Copy_excel, Write_excel def send_requests(s, testdata):
'''封装requests请求'''
#获取Excel标格中表头为method的数据
method = testdata["method"]
# 获取Excel标格中表头为url的数据
url = testdata["url"]
try:
#eval函数可以将读取到的参数内容转化成字典格式
# 获取Excel标格中表头为params的数据
params = eval(testdata["params"])
except:
params = None
# 请求头部headers
try:
# 获取Excel标格中表头为headers的数据
headers = eval(testdata["headers"])
print("请求头部：%s" % headers)
except:
headers = None # post请求body类型
# 获取Excel标格中表头为type的数据
type = testdata["type"]
# 获取Excel标格中表头为id的数据
test_nub = testdata['id']
print("*******正在执行用例：----- %s ----**********" % test_nub)
print("请求方式：%s, 请求url:%s" % (method, url))
print("请求params：%s" % params)
# post请求body内容
try:
# 获取Excel标格中表头为body的数据
bodydata = eval(testdata["body"])
except:
bodydata = {}
# 判断传data数据还是json
if type == "json":
#json.dumps将字典数据转成json格式，因为不同的接口传递参数是不同的，有的是传data，有的传json
body= json.dumps(bodydata)
elif type == "data":
body = bodydata
else:
body = bodydata if type=='json':
print("post请求body类型为：%s ,body内容为：%s" % (type,body))
elif method=='post':
print("post请求body类型为：%s ,body内容为：%s" % (type,body))
verify = False
res = {} # 接受返回数据 try:
r = s.request(method=method,
url=url,
params=params,
headers=headers,
data=body,
verify=verify
)
print("页面返回信息：%s" % r.json())
res['id'] = testdata['id']
res['rowNum'] = testdata['rowNum']
res["statuscode"] = str(r.status_code) # 状态码转成str
res["text"] = r.json()
res["times"] = str(r.elapsed.total_seconds()) # 接口请求时间转str
if res["statuscode"] != "":
res["error"] = "服务错误，接口未请求成功"
res["msg"] = str(res["text"])
else:
res["error"] = ""
res["msg"] = ""
if testdata["checkpoint"] == res["text"]['msg']:
res["result"] = "pass"
print("用例测试结果: %s---->%s" % (test_nub, res["result"]))
else:
res["result"] = "fail"
return res
except Exception as msg:
res["msg"] = str(msg)
return res
#将运行返回的结果，根据自己需要，需要要哪些结果就把哪些结果写入拷贝的那份Excel中
def wirte_result(result, filename="D:\Business_ManageMent\Case\\result.xlsx"):
# 返回结果的行数row_nub
row_nub = result['rowNum']
# 写入statuscode
wt = Write_excel(filename)
wt.write(row_nub, 7, result['statuscode']) # 写入返回状态码statuscode,第8列
wt.write(row_nub, 12, result['times']) # 耗时
wt.write(row_nub, 14, result['error']) # 状态码非200时的返回信息
wt.write(row_nub, 13, result['result']) # 测试结果 pass 还是fail
wt.write(row_nub, 15, result['msg']) # 抛异常
四、定义发送邮件和创建测试用例套件
import time,os
import smtplib
import unittest
from Commons import HTMLTestRunner_jpg
from email.header import Header
from email.mime.text import MIMEText
from email.mime.multipart import MIMEMultipart
import email.mime.multipart
from email.mime.application import MIMEApplication
from Case import * # test_dir = os.path.abspath(os.path.join(os.getcwd(), ".."))
# now = time.strftime('%y_%m_%d %H_%M_%S')
# filename = (os.path.abspath('../Report') + '\\' + now + 'result.html')
# print(filename)
# fp = open(filename, 'wb')
import sys,os
curPath = os.path.abspath(os.path.dirname(__file__))
rootPath = os.path.split(curPath)[0]
sys.path.append(rootPath)
#定义发送邮件
class Send():
def __init__(self):
self.flie_dir=rootPath+'\Report'
self.lists = os.listdir(self.flie_dir)
#将所有的报告按时间从小到大大排序
self.lists.sort(key=lambda fn: os.path.getmtime(self.flie_dir + '\\' + fn))
#取报告集合中最后一个报告即为最新的测试报告
self.new_file = os.path.join(self.flie_dir, self.lists[-1])
def send_mail(self):
now=time.strftime('%y:%m:%d:%H:%M:%S')
sender = '1063126729@qq.com'
recever= 'steve@wemart.cn'
msg = MIMEMultipart()
content = '最新接口测试报告，详情请下载附件查看，生成时间为:%s'%(now)
txt = email.mime.text.MIMEText(content, 'plain', 'utf-8')
msg.attach(txt)
msg['Subject']='接口自动化测试报告'
msg['date']=now
#添加附件
att = MIMEText(open(self.new_file, "rb").read(), "base64", "utf-8")
att["Content-Type"] = "application/octet-stream"
att["Content-Disposition"] = 'attachment; filename= "Report.html"'
msg.attach(att)
server=smtplib.SMTP_SSL(port=465)
server.connect('smtp.qq.com')
server.login('1063126729@qq.com','lhrcqszwzqafbcjf')
server.sendmail(sender,recever,msg.as_string())
server.quit()
print('邮件已发送')
#创建一个测试套件，将所有的用例添加到测试套件
def creatsuit(slef):
test_dir =rootPath+'\Case'
suit=unittest.TestSuite()
discover=unittest.defaultTestLoader.discover(test_dir,pattern='test*.py',top_level_dir=None)
for test_suit in discover:
for case in test_suit:
suit.addTest(case)
return suit
这里说明一下，excel表格自己新建一份，名字命名好，表头各个字段自己喜欢命名啥就命名啥，但注意代码中涉及到表头字段的也要相应调整，保持俩者一致。下面我贴出我存放用例的excel表格样式，供参考：
A:控制开关case B:case名称 C：接口请求方法 D：接口地址 E：传参类型 F：请求头 G：状态码 H:检查点 I：get请求是传的参数 J:post请求时传的参数 K可以不要，这是我当时调试用的
L:接口响应时间 M：运行结果失败获成功 N：提示接口报错 O：接口返回的报错信息 其中G、L、M、N、O是不用填写的，这是为了复制该份表格时，要写入数据到复制的那份表格中用的
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" alt="" />
五、前四部分都是一些封装的东西，都是为了第五部分调用准备的，下面的代码是利用unittest框架去组织测试用例，因为我通过ddt数据驱动的，所以这部分代码就比较简洁了，如果你把测试数据都写在代码中，这是不利于维护的，看上去也很繁琐，几千条测试用例那要写多少
import unittest
import ddt
import os
import requests
from Commons import base_api
from Tool_class import read_excel_fz
from Tool_class import writeexcel_fz
from Case.Hand_code_case.Login_case.Test_stor_login02 import *
import os,copy #获取当前文件位置路径
curpath = os.path.dirname(os.path.realpath(__file__))
# 获取TestCase.xlsx路径
testxlsx = os.path.join(curpath, "TestCase.xlsx")
#获取curpath位置的上一层目录位置
report_path = os.path.join(os.path.dirname(curpath))
#获取测试结果表格的目录位置
reportxlsx = os.path.join(report_path, "result.xlsx")
#创建读取表格的对象
testdata = read_excel_fz.ExcelUtil(testxlsx)
#获取表格中需要运行的数据或不需要运行的数据
cases=testdata.open_case()
#表格中打开的case
case=cases[0]
#表格中关闭的case
case_mobile=cases[1] @ddt.ddt
class Test_api(unittest.TestCase):
u'''B2C-API'''
@classmethod
def setUpClass(cls):
# 如果有登录的话，就在这里先登录了
cls.s = requests.Session()
# 复制xlsx
writeexcel_fz.Copy_excel(testxlsx, reportxlsx) #采用装饰器，在运行case之前都会先运行这个，这里的case是表格里打开的用例，也就是我需要运行的数据
@ddt.data(*case)
def test_api_01(self, data):
#先复制excel数据到Case文件夹下面
res = base_api.send_requests(self.s, data)
base_api.wirte_result(res, filename=reportxlsx)
#检查点 checkpoint
check = data["checkpoint"]
print("检查点->：%s"%check)
#返回结果
res_text = res["text"]
print("返回实际结果->：%s"%res_text)
#将接口返回的结果的键和值取到，通过键是否存在，再利用返回的值去和预期结果做断言
for m,n in res_text.items():
if m=='data' and m=='msg':
self.assertTrue(res_text['data']!=None)
self.assertTrue(res_text['msg'] == check)
elif 'data' not in m:
self.assertTrue(res_text['msg']==check)
六、上面将用例组织好了，接下来就是通过HTMLTestRunner模块运行并生成报告了，注：HTMLTestRunner模块自己去百度下载，可以将内容直接复制，然后在你的工程目录下建一个py文件将内容拷贝进去即可
import sys,os
curPath = os.path.abspath(os.path.dirname(__file__))
rootPath = os.path.split(curPath)[0]
sys.path.append(rootPath) import unittest,time,os
from Commons import HTMLTestRunner_jpg
from email.header import Header
from email.mime.text import MIMEText
from Commons.send_mail_report import Send #定义一个当前时间戳
now = time.strftime('%y_%m_%d %H_%M_%S')
#以时间给报告命名，这样就不会重复了
filename = rootPath+'\Report'+'\\'+ now + 'result.html'
fp=open(filename,'wb')
a = Send()
runner = HTMLTestRunner_jpg.HTMLTestRunner(stream=fp, title='测试报告', description='执行情况:')
runner.run(a.creatsuit())
fp.close()
#调用发送邮件的方法
a.send_mail()
七、Jenkins配置
然后回到任务首页，点击任务后面按钮立即构建，打开控制台即可查看运行记录和结果，如图：
以上所有的步骤已经完成了整个项目的构建，大家针对自己的项目可以拿上面的代码加以修改，其实最重要的是思路和良好的代码基础，我没有针对工具安装进行详细说，这个自己百度！自动化并不难，教程也很多，要学会加以总结并融汇贯通。后期主要跟新我学Python的历程，从基础到高级，再到利用Python实战做项目，欢迎关注
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