Python+requests+unittest+excel搭建接口自动化测试框架

一、框架结构:

Python+requests+unittest+excel搭建接口自动化测试框架_第1张图片

工程目录

Python+requests+unittest+excel搭建接口自动化测试框架_第2张图片

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mock(mock.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、数据操作包 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": "[email protected]",
            "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¬ify_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
 
    #获取某一个单元格的内容
    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中
        str_one:查找的字符串
        str_two:被查找的字符串
        '''
        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):
        '''
        获取登录返回的token的url
        '''
        url = self.response['data']['url'][0]
        return url
 
    def get_cookie(self):
        '''
        获取cookie的jar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()
 
    #查询一条数据
    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 = "[email protected]"
    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 = ['[email protected]']
        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,以满足特定项目或团队的需求。

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表格来管理测试数据,可以确保所有测试用例都具有完整的测试覆盖,从而检测更多潜在的错误和缺陷。

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,以便于分析和评估接口质量。

适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的应用程序,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,可以轻松管理和运行大量测试用例,并生成有用的测试报告,以便于分析和评估接口质量。

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