python+requests接口自动化框架的实现

脚本专栏 2024/11/17 佚名

2 0 1

神剑山庄资源网 Design By www.hcban.com

为什么要做接口自动化框架

1、业务与配置的分离

2、数据与程序的分离；数据的变更不影响程序

3、有日志功能，实现无人值守

4、自动发送测试报告

5、不懂编程的测试人员也可以进行测试

正常接口测试的流程是什么？

确定接口测试使用的工具----->配置需要的接口参数----->进行测试----->检查测试结果----->生成测试报告

测试的工具：python+requests

接口测试用例：excel

一、接口框架如下：

1、action包：用来存放关键字函数

2、config包：用来存放配置文件

3、TestData：用来存放测试数据，excel表

4、Log包：用来存放日志文件

5、utils包：用来存放公共的类

6、运行主程序interface_auto_test.py

7、Readme.txt：告诉团队组员使用改框架需要注意的地方

二、接口的数据规范设计---Case设计

一个sheet对应数据库里面一张表

APIsheet存放
编号；从1开始
接口的名称（APIName）；
请求的url（RequestUrl）；
请求的方法（RequestMethod）；
传参的方式（paramsType）：post/get请求方法不一样
用例说明（APITestCase）
是否执行（Active）部分接口已测通，下次不用测试，直接把这里设置成N，跳过此接口

post与get的区别

查看post详情

post请求参数一般是json串，参数放在from表单里面；参数一般不可见，相对来说安全性高些

查看get详情

get请求参数一般直接放在url里面

2.1注册接口用例

RequestData：请求的数据
（开发制定的传参方式）
RelyData：数据依赖
ResponseCode：响应code
ResponseData：响应数据
DataStore：存储的依赖数据；如果存在数据库里面，在表里增加一个字段用来存依赖的数据
（存储的方式是编写接口自动化的人员来设定的存储方式）
CheckPoint：检查点
Active：是否执行
Status：执行用例的状态，方便查看用例是否执行成功
ErrorInfo：case运行失败，失败的错误信息；eg：是也本身的原因还是case设置失败，还是其他原因

2.2登录接口用例

RequestData：请求的数据
（开发制定的传参方式）
RelyData：数据依赖
（存储的方式是编写接口自动化的人员来设定的存储方式）
ResponseCode：响应code
ResponseData：响应数据
DataStore：存储的依赖数据；如果存在数据库里面，在表里增加一个字段用来存依赖的数据
（存储的方式是编写接口自动化的人员来设定的存储方式）
CheckPoint：检查点
Active：是否执行
Status：执行用例的状态，方便查看用例是否执行成功
ErrorInfo：case运行失败，失败的错误信息；eg：是也本身的原因还是case设置失败，还是其他原因

重点说明下RelyData：数据依赖
采取的是字典：key:value来存储数据格式；
{"request":{"username":"register->1","password":"register->1"},"response":{"code":"register->1"}}

格式化之后：

{
  "request":{
    "username":"register->1",
    "password":"register->1"
  },
  "response":{
    "code":"register->1"
  }
}

三、创建utils包：用来存放公共的类

3.1 ParseExcel.py 操作封装excel的类（ParseExcel.py）

#encoding=utf-8
import openpyxl
from openpyxl.styles import Border, Side, Font
import time

class ParseExcel(object):

  def __init__(self):
    self.workbook = None
    self.excelFile = None
    self.font = Font(color = None) # 设置字体的颜色
    # 颜色对应的RGB值
    self.RGBDict = {'red': 'FFFF3030', 'green': 'FF008B00'}

  def loadWorkBook(self, excelPathAndName):
    # 将excel文件加载到内存，并获取其workbook对象
    try:
      self.workbook = openpyxl.load_workbook(excelPathAndName)
    except Exception as err:
      raise err
    self.excelFile = excelPathAndName
    return self.workbook

  def getSheetByName(self, sheetName):
    # 根据sheet名获取该sheet对象
    try:
      # sheet = self.workbook.get_sheet_by_name(sheetName)
      sheet = self.workbook[sheetName]
      return sheet
    except Exception as err:
      raise err

  def getSheetByIndex(self, sheetIndex):
    # 根据sheet的索引号获取该sheet对象
    try:
      # sheetname = self.workbook.get_sheet_names()[sheetIndex]
      sheetname = self.workbook.sheetnames[sheetIndex]
    except Exception as err:
      raise err
    # sheet = self.workbook.get_sheet_by_name(sheetname)
    sheet = self.workbook[sheetname]
    return sheet

  def getRowsNumber(self, sheet):
    # 获取sheet中有数据区域的结束行号
    return sheet.max_row

  def getColsNumber(self, sheet):
    # 获取sheet中有数据区域的结束列号
    return sheet.max_column

  def getStartRowNumber(self, sheet):
    # 获取sheet中有数据区域的开始的行号
    return sheet.min_row

  def getStartColNumber(self, sheet):
    # 获取sheet中有数据区域的开始的列号
    return sheet.min_column

  def getRow(self, sheet, rowNo):
    # 获取sheet中某一行,返回的是这一行所有的数据内容组成的tuple，
    # 下标从1开始，sheet.rows[1]表示第一行
    try:
      rows = []
      for row in sheet.iter_rows():
        rows.append(row)
      return rows[rowNo - 1]
    except Exception as err:
      raise err

  def getColumn(self, sheet, colNo):
    # 获取sheet中某一列,返回的是这一列所有的数据内容组成tuple，
    # 下标从1开始，sheet.columns[1]表示第一列
    try:
      cols = []
      for col in sheet.iter_cols():
        cols.append(col)
      return cols[colNo - 1]
    except Exception as err:
      raise err

  def getCellOfValue(self, sheet, coordinate = None,
            rowNo = None, colsNo = None):
    # 根据单元格所在的位置索引获取该单元格中的值,下标从1开始,
    # sheet.cell(row = 1, column = 1).value，
    # 表示excel中第一行第一列的值
    if coordinate != None:
      try:
        return sheet[coordinate]
      except Exception as err:
        raise err
    elif coordinate is None and rowNo is not None and             colsNo is not None:
      try:
        return sheet.cell(row = rowNo, column = colsNo).value
      except Exception as err:
        raise err
    else:
      raise Exception("Insufficient Coordinates of cell !")

  def getCellOfObject(self, sheet, coordinate = None,
            rowNo = None, colsNo = None):
    # 获取某个单元格的对象，可以根据单元格所在位置的数字索引，
    # 也可以直接根据excel中单元格的编码及坐标
    # 如getCellObject(sheet, coordinate = 'A1') or
    # getCellObject(sheet, rowNo = 1, colsNo = 2)
    if coordinate != None:
      try:
        # return sheet.cell(coordinate = coordinate)
        return sheet[coordinate]
      except Exception as err:
        raise err
    elif coordinate == None and rowNo is not None and             colsNo is not None:
      try:
        return sheet.cell(row = rowNo,column = colsNo)
      except Exception as err:
        raise err
    else:
      raise Exception("Insufficient Coordinates of cell !")

  def writeCell(self, sheet, content, coordinate = None,
    rowNo = None, colsNo = None, style = None):
    #根据单元格在excel中的编码坐标或者数字索引坐标向单元格中写入数据，
    # 下标从1开始，参style表示字体的颜色的名字,比如red，green
    if coordinate is not None:
      try:
        # sheet.cell(coordinate = coordinate).value = content
        sheet[coordinate] = content
        if style is not None:
          sheet[coordinate].            font = Font(color = self.RGBDict[style])
        self.workbook.save(self.excelFile)
      except Exception as e:
        raise e
    elif coordinate == None and rowNo is not None and             colsNo is not None:
      try:
        sheet.cell(row = rowNo,column = colsNo).value = content
        if style:
          sheet.cell(row = rowNo,column = colsNo).            font = Font(color = self.RGBDict[style])
        self.workbook.save(self.excelFile)
      except Exception as e:
        raise e
    else:
      raise Exception("Insufficient Coordinates of cell !")

  def writeCellCurrentTime(self, sheet, coordinate = None,
        rowNo = None, colsNo = None):
    # 写入当前的时间，下标从1开始
    now = int(time.time()) #显示为时间戳
    timeArray = time.localtime(now)
    currentTime = time.strftime("%Y-%m-%d %H:%M:%S", timeArray)
    if coordinate is not None:
      try:
        sheet.cell(coordinate = coordinate).value = currentTime
        self.workbook.save(self.excelFile)
      except Exception as e:
        raise e
    elif coordinate == None and rowNo is not None         and colsNo is not None:
      try:
        sheet.cell(row = rowNo, column = colsNo
            ).value = currentTime
        self.workbook.save(self.excelFile)
      except Exception as e:
        raise e
    else:
      raise Exception("Insufficient Coordinates of cell !")

if __name__ == '__main__':
  # 测试代码
  pe = ParseExcel()
  pe.loadWorkBook(r'D:\ProgramSourceCode\Python Source Code\WorkSpace\InterfaceFrame2018\inter_test_data.xlsx')
  sheetObj = pe.getSheetByName(u"API")
  print("通过名称获取sheet对象的名字：", sheetObj.title)
  # print help(sheetObj.rows)
  print("通过index序号获取sheet对象的名字：", pe.getSheetByIndex(0).title)
  sheet = pe.getSheetByIndex(0)
  print(type(sheet))
  print(pe.getRowsNumber(sheet)) #获取最大行号
  print(pe.getColsNumber(sheet)) #获取最大列号
  rows = pe.getRow(sheet, 1) #获取第一行
  for i in rows:
    print(i.value)
  # # 获取第一行第一列单元格内容
  # print pe.getCellOfValue(sheet, rowNo = 1, colsNo = 1)
  # pe.writeCell(sheet, u'我爱祖国', rowNo = 10, colsNo = 10)
  # pe.writeCellCurrentTime(sheet, rowNo = 10, colsNo = 11)

3.2 封装get/post请求（HttpClient.py）

import requests
import json

class HttpClient(object):
  def __init__(self):
    pass

  def request(self, requestMethod, requestUrl, paramsType,
        requestData, headers =None, **kwargs):
    if requestMethod == "post":
      print("---", requestData, type(requestData))
      if paramsType == "form":
        response = self.__post(url = requestUrl, data = json.dumps(eval(requestData)),
                 headers = headers, **kwargs)
        return response
      elif paramsType == "json":
        response = self.__post(url = requestUrl, json = json.dumps(eval(requestData)),
                 headers = headers, **kwargs)
        return response
    elif requestMethod == "get":
      request_url = requestUrl
      if paramsType == "url":
        request_url = "%s%s" %(requestUrl, requestData)
      response = self.__get(url = request_url, params = requestData, **kwargs)
      return response

  def __post(self, url, data = None, json = None, headers=None,**kwargs):
    print("----")
    response = requests.post(url=url, data = data, json=json, headers=headers)
    return response

  def __get(self, url, params = None, **kwargs):
    response = requests.get(url, params = params, **kwargs)
    return response

if __name__ == "__main__":
  hc = HttpClient()
  res = hc.request("get", "http://39.106.41.11:8080/getBlogContent/", "url",'2')
  print(res.json())

3.3 封装MD5（md5_encrypt）

import hashlib

def md5_encrypt(text):
  m5 = hashlib.md5()
  m5.update(text.encode("utf-8"))
  value = m5.hexdigest()
  return value

if __name__ == "__main__":
  print(md5_encrypt("sfwe"))

3.4 封装Log

import logging
import logging.config
from config.public_data import baseDir

# 读取日志配置文件
logging.config.fileConfig(baseDir + "\config\Logger.conf")
# 选择一个日志格式
logger = logging.getLogger("example02")#或者example01

def debug(message):
  # 定义dubug级别日志打印方法
  logger.debug(message)

def info(message):
  # 定义info级别日志打印方法
  logger.info(message)

def warning(message):
  # 定义warning级别日志打印方法
  logger.warning(message)

3.5 封装发送Email类

import smtplib
from email.mime.text import MIMEText
from email.mime.multipart import MIMEMultipart
from email.header import Header
from ProjVar.var import *

import os
import smtplib
from email import encoders
from email.mime.base import MIMEBase
from email.mime.text import MIMEText
from email.mime.multipart import MIMEMultipart
from email.header import Header
from email.utils import formataddr

def send_mail():
  mail_host="smtp.126.com" #设置服务器
  mail_user="testman1980"  #用户名
  mail_pass="wulaoshi1980"  #口令
  sender = 'testman1980@126.com'
  receivers = ['2055739@qq.com',"testman1980@126.com"] # 接收邮件，可设置为你的QQ邮箱或者其他邮箱
  # 创建一个带附件的实例
  message = MIMEMultipart()
  message['From'] = formataddr(["光荣之路吴老师", "testman1980@126.com"])
  message['To'] = ','.join(receivers)
  subject = '自动化测试执行报告'
  message['Subject'] = Header(subject, 'utf-8')
  message["Accept-Language"]="zh-CN"
  message["Accept-Charset"]="ISO-8859-1,utf-8,gbk"
  # 邮件正文内容
  message.attach(MIMEText('最新执行的自动化测试报告，请参阅附件内容！', 'plain', 'utf-8'))

  # 构造附件1，传送测试结果的excel文件
  att = MIMEBase('application', 'octet-stream')
  att.set_payload(open(ProjDirPath+"\\testdata\\testdata.xlsx", 'rb').read())
  att.add_header('Content-Disposition', 'attachment', filename=('gbk', '', "自动化测试报告.xlsx"))
  encoders.encode_base64(att)
  message.attach(att)
  """
  # 构造附件2，传送当前目录下的 runoob.txt 文件
  att2 = MIMEText(open('e:\\a.py','rb').read(), 'base64', 'utf-8')
  att2["Content-Type"] = 'application/octet-stream'
  att2["Content-Disposition"] = 'attachment; filename="a.py"'
  message.attach(att2)
  """
  try:
    smtpObj = smtplib.SMTP(mail_host)
    smtpObj.login(mail_user, mail_pass)
    smtpObj.sendmail(sender, receivers, message.as_string())
    print("邮件发送成功")
  except smtplib.SMTPException as e:
    print("Error: 无法发送邮件", e)

if __name__ == "__main__":
  send_mail()

四、创建config包用来存放公共的参数、配置文件、长时间不变的变量值

创建public_data.py

import os
# 整个项目的根目录绝对路劲
baseDir = os.path.dirname(os.path.dirname(__file__))

# 获取测试数据文件的绝对路径
file_path = baseDir + "/TestData/inter_test_data.xlsx"

API_apiName = 2
API_requestUrl = 3
API_requestMothod = 4
API_paramsType = 5
API_apiTestCaseFileName = 6
API_active = 7

CASE_requestData = 1
CASE_relyData = 2
CASE_responseCode = 3
CASE_responseData = 4
CASE_dataStore = 5
CASE_checkPoint = 6
CASE_active = 7
CASE_status = 8
CASE_errorInfo = 9

# 存储请求参数里面依赖的数据
REQUEST_DATA = {}

# 存储响应对象中的依赖数据
RESPONSE_DATA = {}

if __name__=="__main__":
  print(file_path)
  print(baseDir)

五、创建TestData目录，用来存放测试文件

inter_test_data.xlsx

六、创建action包，用来存放关键字函数

6.1 解决数据依赖（GetRely.py）

from config.public_data import REQUEST_DATA, RESPONSE_DATA
from utils.md5_encrypt import md5_encrypt

REQUEST_DATA = {"用户注册":{"1":{"username":"zhangsan", "password":"dfsdf23"},
            "headers":{"cookie":"asdfwerw"}}}
RESPONSE_DATA = {"用户注册":{"1":{"code":"00"}, "headers":{"age":2342}}}

class GetRely(object):
  def __init__(self):
    pass

  @classmethod
  def get(self, dataSource, relyData, headSource = {}):
    print(type(dataSource))
    print(dataSource)
    data = dataSource.copy()
    for key, value in relyData.items():
      if key == "request":
        #说明应该去REQUEST_DATA中获取
        for k, v in value.items():
          interfaceName, case_idx = v.split("->")
          val = REQUEST_DATA[interfaceName][case_idx][k]
          if k == "password":
            data[k] = md5_encrypt(val)
          else:
            data[k] = val
      elif key == "response":
        # 应该去RESPONSE_DATA中获取
        for k, v in value.items():
          interfaceName, case_idx = v.split("->")
          data[k] = RESPONSE_DATA[interfaceName][case_idx][k]
      elif key == "headers":
        if headSource:
          for key, value in value.items():
            if key == "request":
              for k, v in value.items():
                for i in v:
                  headSource[i] = REQUEST_DATA[k]["headers"][i]
            elif key == "response":
              for i, val in value.items():
                for j in val:
                  headSource[j] = RESPONSE_DATA[i]["headers"][j]
    return "%s" %data

if __name__ == "__main__":
  s = {"username": "", "password": "","code":""}
  h = {"cookie":"123", "age":332}
  rely = {"request": {"username": "用户注册->1", "password": "用户注册->1"},
      "response":{"code":"用户注册->1"},
      "headers":{"request":{"用户注册":["cookie"]},"response":{"用户注册":["age"]}}
      }
  print(GetRely.get(s, rely, h))

6.2 解决数据存储（RelyDataStore.py）

from config.public_data import RESPONSE_DATA, REQUEST_DATA

class RelyDataStore(object):
  def __init__(self):
    pass

  @classmethod
  def do(cls, storePoint, apiName, caseId, request_source = {}, response_source = {}, req_headers={}, res_headers = {}):
    for key, value in storePoint.items():
      if key == "request":
        # 说明需要存储的依赖数据来自请求参数,应该将数据存储到REQUEST_DATA
        for i in value:
          if i in request_source:
            val = request_source[i]
            if apiName not in REQUEST_DATA:
              # 说明存储数据的结构还未生成，需要指明数据存储结构
              REQUEST_DATA[apiName]={str(caseId): {i: val}}
            else:
              #说明存储数据结构中最外层结构已存在
              if str(caseId) in REQUEST_DATA[apiName]:
                REQUEST_DATA[apiName][str(caseId)][i] = val
              else:
                # 说明内层结构不完整，需要指明完整的结构
                REQUEST_DATA[apiName][str(caseId)] = {i: val}
          else:
            print("请求参数中不存在字段" + i)
      elif key == "response":
        #说明需要存储的依赖数据来自接口的响应body,应该将数据存储到RESPONSE_DATA
        for j in value:
          if j in response_source:
            val = response_source[j]
            if apiName not in RESPONSE_DATA:
              # 说明存储数据的结构还未生成，需要指明数据存储结构
              RESPONSE_DATA[apiName]={str(caseId): {j: val}}
            else:
              #说明存储数据结构中最外层结构已存在
              if str(caseId) in RESPONSE_DATA[apiName]:
                RESPONSE_DATA[apiName][str(caseId)][j] = val
              else:
                # 说明内层结构不完整，需要指明完整的结构
                RESPONSE_DATA[apiName][str(caseId)] = {j: val}
          else:
            print("接口的响应body中不存在字段" + j)
      elif key == "headers":
        for k, v in value.items():
          if k == "request":
            # 说明需要往REQUEST_DATA变量中写入存储数据
            for item in v:
              if item in req_headers:
                header = req_headers[item]
                if "headers" in REQUEST_DATA[apiName]:
                  REQUEST_DATA[apiName]["headers"][item] = header
                else:
                  REQUEST_DATA[apiName]["headers"] = {item: header}
          elif k == "response":
            # 说明需要往RESPONSE_DATA变量中写入存储数据
            for it in v:
              if it in res_headers:
                header = res_headers[it]
                if "headers" in RESPONSE_DATA[apiName]:
                  RESPONSE_DATA[apiName]["headers"][it] = header
                else:
                  RESPONSE_DATA[apiName]["headers"] = {item: header}
    print(REQUEST_DATA)
    print(RESPONSE_DATA)


if __name__ == "__main__":
  r = {"username": "srwcx01", "password": "wcx123wac1", "email": "wcx@qq.com"}
  req_h = {"cookie":"csdfw23"}
  res_h = {"age":597232}
  s = {"request": ["username", "password"], "response": ["userid"],"headers":{"request":["cookie"],
    "response":["age"]}}
  res = {"userid": 12, "code": "00"}
  RelyDataStore.do(s, "register", 1, r, res, req_headers=req_h, res_headers=res_h)
  print(REQUEST_DATA)
  print(RESPONSE_DATA)

6.3 校验数据结果（CheckResult.py）

import re

class CheckResult(object):
  def __init__(self):
    pass

  @classmethod
  def check(self, responseObj, checkPoint):
    responseBody = responseObj.json()
    # responseBody = {"code": "", "userid": 12, "id": "12"}
    errorKey = {}
    for key, value in checkPoint.items():
      if key in responseBody:
        if isinstance(value, (str, int)):
          # 等值校验
          if responseBody[key] != value:
            errorKey[key] = responseBody[key]
        elif isinstance(value, dict):
          sourceData = responseBody[key]
          if "value" in value:
            # 模糊匹配校验
            regStr = value["value"]
            rg = re.match(regStr, "%s" %sourceData)
            if not rg:
              errorKey[key] = sourceData
          elif "type" in value:
            # 数据类型校验
            typeS = value["type"]
            if typeS == "N":
              # 说明是整形校验
              if not isinstance(sourceData, int):
                errorKey[key] = sourceData
      else:
        errorKey[key] = "[%s] not exist" %key
    return errorKey

if __name__ == "__main__":
  r = {"code": "00", "userid": 12, "id": 12}
  c = {"code": "00", "userid": {"type": "N"}, "id": {"value": "\d+"}}
  print(CheckResult.check(r, c))

6.4 往excel里面写结果

from config.public_data import *

def write_result(wbObj, sheetObj, responseData, errorKey, rowNum):
  try:
    # 写响应body
    wbObj.writeCell(sheetObj, content="%s" %responseData,
            rowNo = rowNum, colsNo=CASE_responseData)
    # 写校验结果状态及错误信息
    if errorKey:
      wbObj.writeCell(sheetObj, content="%s" %errorKey,
            rowNo=rowNum, colsNo=CASE_errorInfo)
      wbObj.writeCell(sheetObj, content="faild",
              rowNo=rowNum, colsNo=CASE_status, style="red")
    else:
      wbObj.writeCell(sheetObj, content="pass",
              rowNo=rowNum, colsNo=CASE_status, style="green")
  except Exception as err:
    raise err

七、创建Log目录用来存放日志

八、主函数

#encoding=utf-8
import requests
import json
from action.get_rely import GetRely
from config.public_data import *
from utils.ParseExcel import ParseExcel
from utils.HttpClient import HttpClient
from action.data_store import RelyDataStore
from action.check_result import CheckResult
from action.write_result import write_result
from utils.Log import *

def main():
  parseE = ParseExcel()
  parseE.loadWorkBook(file_path)
  sheetObj = parseE.getSheetByName("API")
  activeList = parseE.getColumn(sheetObj, API_active)
  for idx, cell in enumerate(activeList[1:], 2):
    if cell.value == "y":
      #需要被执行
      RowObj = parseE.getRow(sheetObj, idx)
      apiName = RowObj[API_apiName -1].value
      requestUrl = RowObj[API_requestUrl - 1].value
      requestMethod = RowObj[API_requestMothod - 1].value
      paramsType = RowObj[API_paramsType - 1].value
      apiTestCaseFileName = RowObj[API_apiTestCaseFileName - 1].value

      # 下一步读取用例sheet表，准备执行测试用例
      caseSheetObj = parseE.getSheetByName(apiTestCaseFileName)
      caseActiveObj = parseE.getColumn(caseSheetObj, CASE_active)
      for c_idx, col in enumerate(caseActiveObj[1:], 2):
        if col.value == "y":
          #需要执行的用例
          caseRowObj = parseE.getRow(caseSheetObj, c_idx)
          requestData = caseRowObj[CASE_requestData - 1].value
          relyData = caseRowObj[CASE_relyData - 1].value
          responseCode = caseRowObj[CASE_responseCode - 1].value
          responseData = caseRowObj[CASE_responseData - 1].value
          dataStore = caseRowObj[CASE_dataStore -1].value
          checkPoint = caseRowObj[CASE_checkPoint - 1].value

          #发送接口请求之前需要做一下数据依赖的处理
          if relyData:
            logging.info("处理第%s个接口的第%s条用例的数据依赖！")
            requestData = GetRely.get(eval(requestData), eval(relyData))
          httpC = HttpClient()
          response = httpC.request(requestMethod=requestMethod,
                       requestData=requestData,
                       requestUrl=requestUrl,
                       paramsType=paramsType
                       )
          # 获取到响应结果后，接下来进行数据依赖存储逻辑实现
          if response.status_code == 200:
            responseData = response.json()
            # 进行依赖数据存储
            if dataStore:
              RelyDataStore.do(eval(dataStore), apiName, c_idx - 1, eval(requestData), responseData)
            # 接下来就是校验结果
            else:
              logging.info("接口【%s】的第【%s】条用例，不需要进行依赖数据存储！" %(apiName, c_idx))
            if checkPoint:
              errorKey = CheckResult.check(response, eval(checkPoint))
              write_result(parseE, caseSheetObj, responseData, errorKey, c_idx)
          else:
            logging.info("接口【%s】的第【%s】条用例，执行失败，接口协议code非200！" %(apiName, c_idx))
        else:
          logging.info("第%s个接口的第%s条用例，被忽略执行！" %(idx -1, c_idx-1))
    else:
      logging.info("第%s行的接口被忽略执行！" %(idx -1))


if __name__=="__main__":
  main()

框架待完善~~请各路神仙多多指教~~

python,requests接口自动化,python,接口自动化

标签：

python,requests接口自动化,python,接口自动化

神剑山庄资源网 Design By www.hcban.com

神剑山庄资源网 免责声明：本站文章均来自网站采集或用户投稿，网站不提供任何软件下载或自行开发的软件！如有用户或公司发现本站内容信息存在侵权行为，请邮件告知！ 858582#qq.com

神剑山庄资源网 Design By www.hcban.com

评论“python+requests接口自动化框架的实现”

暂无python+requests接口自动化框架的实现的评论...

python+requests接口自动化框架的实现

python,requests接口自动化,python,接口自动化

python开根号实例讲解

python一些性能分析的技巧

评论“python+requests接口自动化框架的实现”

《魔兽世界》大逃杀！60人新游玩模式《强袭风暴》3月21日上线

更新日志

友情链接