本文介绍: unittest+excel搭建接口自动化测试框架是一种流行的方法可以帮助测试人员以有效和可靠的方式管理API测试用例。以下是该框架的一些主要优点和总结:灵活和易于扩展:Python作为一种灵活的编程语言可以轻松地扩展定制测试框架,以满足特定项目团队需求。高效和可维护:使用Python+requests+unittest+excel框架进行API测试可以大大提高测试效率,并减少手动测试所需的时间和成本。测试脚本易于维护和更新

一、框架结构

工程目录

代码基于python2编写

二、Case文件设计

三、基础包 base

3.1 封装get/post请求runmethon.py

import requests
import json
class RunMethod:
    def post_main(self,url,data,header=None):
        res = None
        if header !=None:
            res = requests.post(url=url,data=data,headers=header)
        else:
            res = requests.post(url=url,data=data)
        return res.json()
 
    def get_main(self,url,data=None,header=None):
        res = None
        if header !=None:
            res = requests.get(url=url,data=data,headers=header,verify=False)
        else:
            res = requests.get(url=url,data=data,verify=False)
        return res.json()
 
    def run_main(self,method,url,data=None,header=None):
        res = None
        if method == 'Post':
            res = self.post_main(url,data,header)
        else:
            res = self.get_main(url,data,header)
        return json.dumps(res,ensure_ascii=False,sort_keys=True,indent=2)

3.2 封装mockmock.py

from mock import mock
#模拟mock 封装
def mock_test(mock_method,request_data,url,method,response_data):
    mock_method = mock.Mock(return_value=response_data)
    res = mock_method(url,method,request_data)
    return res

四、数据操作operation_data

4.1 获取excel单元格中的内容(get_data.py

#coding:utf-8
from tool.operation_excel import OperationExcel
import data_config
from tool.operation_json import OperetionJson
from tool.connect_db import OperationMysql
class GetData:
    def __init__(self):
        self.opera_excel = OperationExcel()
 
    #去获取excel行数,就是case的个数
    def get_case_lines(self):
        return self.opera_excel.get_lines()
 
    #获取是否执行
    def get_is_run(self,row):
        flag = None
        col = int(data_config.get_run())
        run_model = self.opera_excel.get_cell_value(row,col)
        if run_model == 'yes':
            flag = True
        else:
            flag = False
        return flag
 
    #是否携带header
    def is_header(self,row):
        col = int(data_config.get_header())
        header = self.opera_excel.get_cell_value(row,col)
        if header != '':
            return header
        else:
            return None
    #获取请求方式
    def get_request_method(self,row):
        col = int(data_config.get_run_way())
        request_method = self.opera_excel.get_cell_value(row,col)
        return request_method
 
    #获取url
    def get_request_url(self,row):
        col = int(data_config.get_url())
        url = self.opera_excel.get_cell_value(row,col)
        return url
 
    #获取请求数据
    def get_request_data(self,row):
        col = int(data_config.get_data())
        data = self.opera_excel.get_cell_value(row,col)
        if data == '':
            return None
        return data
 
    #通过获取关键字拿到data数据
    def get_data_for_json(self,row):
        opera_json = OperetionJson()
        request_data = opera_json.get_data(self.get_request_data(row))
        return request_data
 
    #获取预期结果
    def get_expcet_data(self,row):
        col = int(data_config.get_expect())
        expect = self.opera_excel.get_cell_value(row,col)
        if expect == '':
            return None
        return expect
 
    #通过sql获取预期结果
    def get_expcet_data_for_mysql(self,row):
        op_mysql = OperationMysql()
        sql = self.get_expcet_data(row)
        res = op_mysql.search_one(sql)
        return res.decode('unicode-escape')
 
    def write_result(self,row,value):
        col = int(data_config.get_result())
        self.opera_excel.write_value(row,col,value)
 
    #获取依赖数据的key
    def get_depend_key(self,row):
        col = int(data_config.get_data_depend())
        depent_key = self.opera_excel.get_cell_value(row,col)
        if depent_key == "":
            return None
        else:
            return depent_key
 
    #判断是否有case依赖
    def is_depend(self,row):
        col = int(data_config.get_case_depend())
        depend_case_id = self.opera_excel.get_cell_value(row,col)
        if depend_case_id == "":
            return None
        else:
            return depend_case_id
 
    #获取数据依赖字段
    def get_depend_field(self,row):
        col = int(data_config.get_field_depend())
        data = self.opera_excel.get_cell_value(row,col)
        if data == "":
            return None
        else:
            return data

4.2 获取excel中每个列(data_config.py

#coding:utf-8
class global_var:
    #case_id
    Id = '0'
    request_name = '1'
    url = '2'
    run = '3'
    request_way = '4'
    header = '5'
    case_depend = '6'
    data_depend = '7'
    field_depend = '8'
    data = '9'
    expect = '10'
    result = '11'
#获取caseid
def get_id():
    return global_var.Id
 
#获取url
def get_url():
    return global_var.url
 
def get_run():
    return global_var.run
 
def get_run_way():
    return global_var.request_way
 
def get_header():
    return global_var.header
 
def get_case_depend():
    return global_var.case_depend
 
def get_data_depend():
    return global_var.data_depend
 
def get_field_depend():
    return global_var.field_depend
 
def get_data():
    return global_var.data
 
def get_expect():
    return global_var.expect
 
def get_result():
    return global_var.result
 
def get_header_value():
    return global_var.header

4.3 解决数据依赖(dependent.py

#coding:utf-8
import sys
import json
sys.path.append('C:/Users/lxz/Desktop/InterFace_JIA')
from tool.operation_excel import OperationExcel
from base.runmethod import RunMethod
from operation_data.get_data import GetData
from jsonpath_rw import jsonpath,parse
class DependdentData:
    def __init__(self,case_id):
        self.case_id = case_id
        self.opera_excel = OperationExcel()
        self.data = GetData()
 
    #通过case_id去获取该case_id的整行数据
    def get_case_line_data(self):
        rows_data = self.opera_excel.get_rows_data(self.case_id)
        return rows_data
 
    #执行依赖测试,获取结果
    def run_dependent(self):
        run_method = RunMethod()
        row_num  = self.opera_excel.get_row_num(self.case_id)
        request_data = self.data.get_data_for_json(row_num)
        #header = self.data.is_header(row_num)
        method = self.data.get_request_method(row_num)
        url = self.data.get_request_url(row_num)
        res = run_method.run_main(method,url,request_data)
        return json.loads(res)
 
    #根据依赖的key去获取执行依赖测试case的响应,然后返回
    def get_data_for_key(self,row):
        depend_data = self.data.get_depend_key(row)
        response_data = self.run_dependent()
        json_exe = parse(depend_data)
        madle = json_exe.find(response_data)
        return [math.value for math in madle][0]
 
if __name__ == '__main__':
    order = {
        "data": {
            "_input_charset": "utf-8",
            "body": "京东订单-1710141907182334",
            "it_b_pay": "1d",
            "notify_url": "http://order.imooc.com/pay/notifyalipay",
            "out_trade_no": "1710141907182334",
            "partner": "2088002966755334",
            "payment_type": "1",
            "seller_id": "yangyan01@tcl.com",
            "service": "mobile.securitypay.pay",
            "sign": "kZBV53KuiUf5HIrVLBCcBpWDg%2FnzO%2BtyEnBqgVYwwBtDU66Xk8VQUTbVOqDjrNymCupkVhlI%2BkFZq1jOr8C554KsZ7Gk7orC9dDbQl
                       pr%2BaMmdjO30JBgjqjj4mmM%2Flphy9Xwr0Xrv46uSkDKdlQqLDdGAOP7YwOM2dSLyUQX%2Bo4%3D", 
            "sign_type": "RSA",
            "string": "_input_charset=utf-8&body=京东订单-1710141907182334&it_b_pay=1d&notify_url=http://order.imooc.com/pay/
                         notifyalipay&out_trade_no=1710141907182334&partner=2088002966755334&payment_type=1&seller_id=yangyan01@
                         tcl.com&service=mobile.securitypay.pay&subject=京东订单-1710141907182334&total_fee=299&sign=kZBV53KuiUf5H
                         IrVLBCcBpWDg%2FnzO%2BtyEnBqgVYwwBtDU66Xk8VQUTbVOqDjrNymCupkVhlI%2BkFZq1jOr8C554KsZ7Gk7orC9dDbQlpr%2BaMmdjO30
                         JBgjqjj4mmM%2Flphy9Xwr0Xrv46uSkDKdlQqLDdGAOP7YwOM2dSLyUQX%2Bo4%3D&sign_type=RSA", 
            "subject": "京东订单-1710141907182334",
            "total_fee": 299
            },
            "errorCode": 1000,
            "errorDesc": "成功",
            "status": 1,
            "timestamp": 1507979239100
        }
    res = "data.out_trade_no"
    json_exe = parse(res)
    madle = json_exe.find(order)
    print [math.value for math in madle][0]

五、工具类包 tool

5.1 操作excel (operation_excel.py)

#coding:utf-8
import xlrd
from xlutils.copy import copy
class OperationExcel:
    def __init__(self,file_name=None,sheet_id=None):
        if file_name:
            self.file_name = file_name
            self.sheet_id = sheet_id    
        else:
            self.file_name = '../dataconfig/case1.xls'
            self.sheet_id = 0
        self.data = self.get_data()
 
    #获取sheets的内容
    def get_data(self):
        data = xlrd.open_workbook(self.file_name)
        tables = data.sheets()[self.sheet_id]
        return tables
 
    #获取单元格的行数
    def get_lines(self):
        tables = self.data
        return tables.nrows
 
    #获取某一个单元格内容
    def get_cell_value(self,row,col):
        return self.data.cell_value(row,col)
 
    #写入数据
    def write_value(self,row,col,value):
        '''
        写入excel数据
        row,col,value
        '''
        read_data = xlrd.open_workbook(self.file_name)
        write_data = copy(read_data)
        sheet_data = write_data.get_sheet(0)
        sheet_data.write(row,col,value)
        write_data.save(self.file_name)
 
    #根据对应的caseid 找到对应行的内容
    def get_rows_data(self,case_id):
        row_num = self.get_row_num(case_id)
        rows_data = self.get_row_values(row_num)
        return rows_data
 
    #根据对应的caseid找到对应的行号
    def get_row_num(self,case_id):
        num = 0
        clols_data = self.get_cols_data()
        for col_data in clols_data:
            if case_id in col_data:
                return num
            num = num+1
    #根据行号,找到该行的内容
    def get_row_values(self,row):
        tables = self.data
        row_data = tables.row_values(row)
        return row_data
 
    #获取某一列的内容
    def get_cols_data(self,col_id=None):
        if col_id != None:
            cols = self.data.col_values(col_id)
        else:
            cols = self.data.col_values(0)
        return cols
 
 
if __name__ == '__main__':
    opers = OperationExcel()
    print opers.get_cell_value(1,2)

5.2判断字符串包含,判断字典是否相等(common_util.py

#coding:utf-8
import json
class CommonUtil:
    def is_contain(self,str_one,str_two):
        '''
        判断一个字符串是否再另外一个字符串str_one:查找字符串
        str_two:被查找字符串
        '''
        flag = None
        if isinstance(str_one,unicode):
            str_one = str_one.encode('unicode-escape').decode('string_escape')
        return cmp(str_one,str_two)
        if str_one in str_two:
            flag = True
        else:
            flag = False
        return flag
 
 
    def is_equal_dict(self,dict_one,dict_two):
        '''
        判断两个字典是否相等
        '''
        if isinstance(dict_one,str):
            dict_one = json.loads(dict_one)
        if isinstance(dict_two,str):
            dict_two = json.loads(dict_two)
        return cmp(dict_one,dict_two)

5.3 操作header(operation_herder.py

# coding:utf-8
import requests
import json
from operation_json import OperetionJson
 
 
class OperationHeader:
 
    def __init__(self ,response):
        self.response = json.loads(response)
 
    def get_response_url(self):
        '''
        获取登录返回token的url
        '''
        url = self.response['data']['url'][0]
        return url
 
    def get_cookie(self):
        '''
        获取cookiejar文件
        '''
        url = self.get_response_url( ) +"&callback=jQuery21008240514814031887_1508666806688&_=1508666806689"
        cookie = requests.get(url).cookies
        return cookie
 
    def write_cookie(self):
        cookie = requests.utils.dict_from_cookiejar(self.get_cookie())
        op_json = OperetionJson()
        op_json.write_data(cookie)
 
if __name__ == '__main__':
 
    url = "http://www.jd.com/passport/user/login"
    data = {
        "username" :"18513199586",
        "password" :"111111",
        "verify" :"",
        "referer" :"https://www.jd.com"
    }
    res = json.dumps(requests.post(url ,data).json())
    op_header = OperationHeader(res)
    op_header.write_cookie()

5.4 操作json文件(operation_json.py

#coding:utf-8
import json
class OperetionJson:
 
    def __init__(self,file_path=None):
        if file_path  == None:
            self.file_path = '../dataconfig/user.json'
        else:
            self.file_path = file_path
        self.data = self.read_data()
 
    #读取json文件
    def read_data(self):
        with open(self.file_path) as fp:
            data = json.load(fp)
            return data
 
    #根据关键字获取数据
    def get_data(self,id):
        print type(self.data)
        return self.data[id]
 
    #写json
    def write_data(self,data):
        with open('../dataconfig/cookie.json','w') as fp:
            fp.write(json.dumps(data))
 
 
 
if __name__ == '__main__':
    opjson = OperetionJson()
    print opjson.get_data('shop')

5.5 操作数据库connect_db.py)

 #coding:utf-8
import MySQLdb.cursors
import json
class OperationMysql:
    def __init__(self):
        self.conn = MySQLdb.connect(
            host='localhost',
            port=3306,
            user='root',
            passwd='123456',
            db='le_study',
            charset='utf8',
            cursorclass=MySQLdb.cursors.DictCursor
            )
        self.cur = self.conn.cursor()
 
    #查询条数据
    def search_one(self,sql):
        self.cur.execute(sql)
        result = self.cur.fetchone()
        result = json.dumps(result)
        return result
 
if __name__ == '__main__':
    op_mysql = OperationMysql()
    res = op_mysql.search_one("select * from web_user where Name='ailiailan'")
    print res

5.6 发送报告邮件send_email.py)

#coding:utf-8
import smtplib
from email.mime.text import MIMEText
class SendEmail:
    global send_user
    global email_host
    global password
    email_host = "smtp.163.com"
    send_user = "jiaxiaonan666@163.com"
    password = "jia_668"
    def send_mail(self,user_list,sub,content):
        user = "jiaxiaonan"+"<"+send_user+">"
        message = MIMEText(content,_subtype='plain',_charset='utf-8')
        message['Subject'] = sub
        message['From'] = user
        message['To'] = ";".join(user_list)
        server = smtplib.SMTP()
        server.connect(email_host)
        server.login(send_user,password)
        server.sendmail(user,user_list,message.as_string())
        server.close()
 
    def send_main(self,pass_list,fail_list):
        pass_num = float(len(pass_list))
        fail_num = float(len(fail_list))
        count_num = pass_num+fail_num
        #90%
        pass_result = "%.2f%%" %(pass_num/count_num*100)
        fail_result = "%.2f%%" %(fail_num/count_num*100)
 
 
        user_list = ['609037724@qq.com']
        sub = "接口自动化测试报告"
        content = "此次一共运行接口个数为%s个,通过个数为%s个,失败个数为%s,通过率为%s,失败率为%s" %(count_num,pass_num,fail_num,pass_result,fail_result )
        self.send_mail(user_list,sub,content)
 
if __name__ == '__main__':
    sen = SendEmail()
    sen.send_main([1,2,3,4],[2,3,4,5,6,7])

六、主函数

run_test.py

#coding:utf-8
import sys
sys.path.append("C:/Users/lxz/Desktop/InterFace_JIA")
from base.runmethod import RunMethod
from operation_data.get_data import GetData
from tool.common_util import CommonUtil
from operation_data.dependent_data import DependdentData
from tool.send_email import SendEmail
from tool.operation_header import OperationHeader
from tool.operation_json import OperetionJson
class RunTest:
    def __init__(self):
        self.run_method = RunMethod()
        self.data = GetData()
        self.com_util = CommonUtil()
        self.send_mai = SendEmail()
 
    #程序执行的
    def go_on_run(self):
        res = None
        pass_count = []
        fail_count = []
        #10  0,1,2,3
        rows_count = self.data.get_case_lines()
        for i in range(1,rows_count):
            is_run = self.data.get_is_run(i)
            if is_run:
                url = self.data.get_request_url(i)
                method = self.data.get_request_method(i)
                request_data = self.data.get_data_for_json(i)
                expect = self.data.get_expcet_data_for_mysql(i)
                header = self.data.is_header(i)
                depend_case = self.data.is_depend(i)
                if depend_case != None:
                    self.depend_data = DependdentData(depend_case)
                    #获取的依赖响应数据
                    depend_response_data = self.depend_data.get_data_for_key(i)
                    #获取依赖的key
                    depend_key = self.data.get_depend_field(i)
                    request_data[depend_key] = depend_response_data
                if header == 'write':
                    res = self.run_method.run_main(method,url,request_data)
                    op_header = OperationHeader(res)
                    op_header.write_cookie()
 
                elif header == 'yes':
                    op_json = OperetionJson('../dataconfig/cookie.json')
                    cookie = op_json.get_data('apsid')
                    cookies = {
                        'apsid':cookie
                    }
                    res = self.run_method.run_main(method,url,request_data,cookies)
                else:
                    res = self.run_method.run_main(method,url,request_data)
 
                if self.com_util.is_equal_dict(expect,res) == 0:
                    self.data.write_result(i,'pass')
                    pass_count.append(i)
                else:
                    self.data.write_result(i,res)
                    fail_count.append(i)
        self.send_mai.send_main(pass_count,fail_count)
 
    #将执行判断封装
    #def get_cookie_run(self,header):
if __name__ == '__main__':
    run = RunTest()
    run.go_on_run()

总结

Python+requests+unittest+excel搭建接口自动化测试框架是一种流行的方法,可以帮助测试人员以有效和可靠的方式管理API测试用例。以下是该框架的一些主要优点和总结

灵活和易于扩展:Python作为一种灵活的编程语言,可以轻松地扩展和定制测试框架,以满足特定项目团队的需求。

高效和可维护:使用Python+requests+unittest+excel框架进行API测试可以大大提高测试效率,并减少手动测试所需的时间和成本。测试脚本易于维护和更新

完整的测试覆盖:通过使用Excel表格管理测试数据,可以确保所有测试用例具有完整的测试覆盖,从而检测更多潜在的错误缺陷

生成详细的测试报告:该框架可以生成详细的HTML测试报告,包括测试结果、错误信息和性能统计数据等,以便分析和评估接口质量。

用于不同的测试场景:无论您是在测试Web应用程序客户端应用程序还是其他类型应用程序,都可以使用此框架进行API测试。它适用于各种测试场景,包括功能测试、性能测试和负载测试等。

总之,Python+requests+unittest+excel搭建接口自动化测试框架是一种功能强大且易于使用的API测试方法。通过这个框架,可以轻松管理运行大量测试用例,并生成有用的测试报告,以便分析和评估接口质量。

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原文地址:https://blog.csdn.net/qq_48811377/article/details/134698494

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