為什么要做接口自動化框架

1、業務與配置的分離

2、數據與程序的分離；數據的變更不影響程序

3、有日志功能，實現無人值守

4、自動發送測試報告

5、不懂編程的測試人員也可以進行測試

正常接口測試的流程是什么？

確定接口測試使用的工具----->配置需要的接口參數----->進行測試----->檢查測試結果----->生成測試報告

測試的工具：python+requests

接口測試用例：excel

一、接口框架如下：

1、action包：用來存放關鍵字函數

2、config包：用來存放配置文件

3、TestData：用來存放測試數據，excel表

4、Log包：用來存放日志文件

5、utils包：用來存放公共的類

6、運行主程序interface_auto_test.py

7、Readme.txt：告訴團隊組員使用改框架需要注意的地方

二、接口的數據規范設計---Case設計

一個sheet對應數據庫里面一張表

APIsheet存放

編號；從1開始

接口的名稱(APIName)；

請求的url(RequestUrl)；

請求的方法(RequestMethod)；

傳參的方式(paramsType)：post/get請求方法不一樣

用例說明(APITestCase)

是否執行(Active)部分接口已測通，下次不用測試，直接把這里設置成N，跳過此接口

post與get的區別

查看post詳情

post請求參數一般是json串，參數放在from表單里面；參數一般不可見，相對來說安全性高些

查看get詳情

get請求參數一般直接放在url里面

2.1注冊接口用例

RequestData：請求的數據

(開發制定的傳參方式)

RelyData：數據依賴

ResponseCode：響應code

ResponseData：響應數據

DataStore：存儲的依賴數據；如果存在數據庫里面，在表里增加一個字段用來存依賴的數據

(存儲的方式是編寫接口自動化的人員來設定的存儲方式)

CheckPoint：檢查點

Active：是否執行

Status：執行用例的狀態，方便查看用例是否執行成功

ErrorInfo：case運行失敗，失敗的錯誤信息；eg：是也本身的原因還是case設置失敗，還是其他原因

2.2登錄接口用例

RequestData：請求的數據

(開發制定的傳參方式)

RelyData：數據依賴

(存儲的方式是編寫接口自動化的人員來設定的存儲方式)

ResponseCode：響應code

ResponseData：響應數據

DataStore：存儲的依賴數據；如果存在數據庫里面，在表里增加一個字段用來存依賴的數據

(存儲的方式是編寫接口自動化的人員來設定的存儲方式)

CheckPoint：檢查點

Active：是否執行

Status：執行用例的狀態，方便查看用例是否執行成功

ErrorInfo：case運行失敗，失敗的錯誤信息；eg：是也本身的原因還是case設置失敗，還是其他原因

重點說明下RelyData：數據依賴

采取的是字典：key:value來存儲數據格式；

{"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、創建utils包：用來存放公共的類

3.1 ParseExcel.py 操作封裝excel的類(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) # 設置字體的顏色

# 顏色對應的RGB值

self.RGBDict = {'red':?'FFFF3030',?'green':?'FF008B00'}

def loadWorkBook(self, excelPathAndName):

# 將excel文件加載到內存，并獲取其workbook對象

try:

self.workbook = openpyxl.load_workbook(excelPathAndName)

except Exception?as?err:

raise err

self.excelFile = excelPathAndName

return?self.workbook

def getSheetByName(self, sheetName):

# 根據sheet名獲取該sheet對象

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):

# 根據sheet的索引號獲取該sheet對象

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):

# 獲取sheet中有數據區域的結束行號

return?sheet.max_row

def getColsNumber(self, sheet):

# 獲取sheet中有數據區域的結束列號

return?sheet.max_column

def getStartRowNumber(self, sheet):

# 獲取sheet中有數據區域的開始的行號

return?sheet.min_row

def getStartColNumber(self, sheet):

# 獲取sheet中有數據區域的開始的列號

return?sheet.min_column

def getRow(self, sheet, rowNo):

# 獲取sheet中某一行,返回的是這一行所有的數據內容組成的tuple，

# 下標從1開始，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):

# 獲取sheet中某一列,返回的是這一列所有的數據內容組成tuple，

# 下標從1開始，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):

# 根據單元格所在的位置索引獲取該單元格中的值,下標從1開始,

# 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):

# 獲取某個單元格的對象，可以根據單元格所在位置的數字索引，

# 也可以直接根據excel中單元格的編碼及坐標

# 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):

#根據單元格在excel中的編碼坐標或者數字索引坐標向單元格中寫入數據，

# 下標從1開始，參style表示字體的顏色的名字,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):

# 寫入當前的時間，下標從1開始

now =?int(time.time())? #顯示為時間戳

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__':

# 測試代碼

pe = ParseExcel()

pe.loadWorkBook(r'D:\ProgramSourceCode\Python Source Code\WorkSpace\InterfaceFrame2018\inter_test_data.xlsx')

sheetObj = pe.getSheetByName(u"API")

print("通過名稱獲取sheet對象的名字：", sheetObj.title)

# print help(sheetObj.rows)

print("通過index序號獲取sheet對象的名字：", pe.getSheetByIndex(0).title)

sheet = pe.getSheetByIndex(0)

print(type(sheet))

print(pe.getRowsNumber(sheet))? #獲取最大行號

print(pe.getColsNumber(sheet))? #獲取最大列號

rows = pe.getRow(sheet, 1)? #獲取第一行

for?i?in?rows:

print(i.value)

# # 獲取第一行第一列單元格內容

# print pe.getCellOfValue(sheet, rowNo = 1, colsNo = 1)

# pe.writeCell(sheet, u'我愛祖國', rowNo = 10, colsNo = 10)

# pe.writeCellCurrentTime(sheet, rowNo = 10, colsNo = 11)

3.2 封裝get/post請求(HttpClient.py)

import requests

import jsonclassHttpClient(object):

def __init__(self):

pass

def request(self, requestMethod, requestUrl, paramsType,

requestData, headers =None, **kwargs):

ifrequestMethod =="post":

print("---", requestData, type(requestData))

ifparamsType =="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

ifparamsType =="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 responseif__name__ =="__main__":

hc = HttpClient()

res = hc.request("get","http://39.106.41.11:8080/getBlogContent/","url",'2')

print(res.json())

3.3 封裝MD5(md5_encrypt)

import hashlib

def md5_encrypt(text):

m5 = hashlib.md5()

m5.update(text.encode("utf-8"))

value = m5.hexdigest()

return valueif__name__ =="__main__":

print(md5_encrypt("sfwe"))

3.4 封裝Log

import logging

import logging.configfrom config.public_data import baseDir

# 讀取日志配置文件

logging.config.fileConfig(baseDir +"\config\Logger.conf")

# 選擇一個日志格式

logger = logging.getLogger("example02")#或者example01

def debug(message):

# 定義dubug級別日志打印方法

logger.debug(message)

def info(message):

# 定義info級別日志打印方法

logger.info(message)

def warning(message):

# 定義warning級別日志打印方法

logger.warning(message)

3.5 封裝發送Email類

import smtplibfrom email.mime.text import MIMETextfrom email.mime.multipart import MIMEMultipartfrom email.header import HeaderfromProjVar.varimport *import os

import smtplibfrom email import encodersfromemail.mime.base import MIMEBasefrom email.mime.text import MIMETextfrom email.mime.multipart import MIMEMultipartfrom email.header import Headerfrom email.utils import formataddr

def send_mail():

mail_host="smtp.126.com"? #設置服務器

mail_user="testman1980"? ? #用戶名

mail_pass="wulaoshi1980"? #口令

sender ='testman1980@126.com'? ? receivers = ['2055739@qq.com',"testman1980@126.com"] # 接收郵件，可設置為你的QQ郵箱或者其他郵箱

# 創建一個帶附件的實例

message = MIMEMultipart()

message['From'] = formataddr(["光榮之路吳老師","testman1980@126.com"])

message['To'] =','.join(receivers)

subject ='自動化測試執行報告'? ? message['Subject'] = Header(subject,'utf-8')

message["Accept-Language"]="zh-CN"? ? message["Accept-Charset"]="ISO-8859-1,utf-8,gbk"? ? # 郵件正文內容

message.attach(MIMEText('最新執行的自動化測試報告，請參閱附件內容！','plain','utf-8'))

# 構造附件1，傳送測試結果的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','',"自動化測試報告.xlsx"))

encoders.encode_base64(att)

message.attach(att)

"""? ? # 構造附件2，傳送當前目錄下的 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("郵件發送成功")

except smtplib.SMTPException as e:

print("Error: 無法發送郵件", e)if__name__ =="__main__":

send_mail()

四、 創建config包 用來存放公共的參數、配置文件、長時間不變的變量值

創建public_data.py

import os

# 整個項目的根目錄絕對路勁

baseDir = os.path.dirname(os.path.dirname(__file__))

# 獲取測試數據文件的絕對路徑

file_path = baseDir +"/TestData/inter_test_data.xlsx"API_apiName =2API_requestUrl =3API_requestMothod =4API_paramsType =5API_apiTestCaseFileName =6API_active =7CASE_requestData =1CASE_relyData =2CASE_responseCode =3CASE_responseData =4CASE_dataStore =5CASE_checkPoint =6CASE_active =7CASE_status =8CASE_errorInfo =9# 存儲請求參數里面依賴的數據

REQUEST_DATA = {}

# 存儲響應對象中的依賴數據

RESPONSE_DATA = {}if__name__=="__main__":

print(file_path)

print(baseDir)

五、創建TestData目錄，用來存放測試文件

inter_test_data.xlsx

六、創建action包，用來存放關鍵字函數

6.1 解決數據依賴 (GetRely.py)

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

REQUEST_DATA = {"用戶注冊":{"1":{"username":"zhangsan","password":"dfsdf23"},

"headers":{"cookie":"asdfwerw"}}}

RESPONSE_DATA = {"用戶注冊":{"1":{"code":"00"},"headers":{"age":2342}}}classGetRely(object):

def __init__(self):

pass

@classmethod

def get(self, dataSource, relyData, headSource = {}):

print(type(dataSource))

print(dataSource)

data = dataSource.copy()

forkey, valuein relyData.items():

ifkey =="request":

#說明應該去REQUEST_DATA中獲取

fork, vin value.items():

interfaceName, case_idx = v.split("->")

val = REQUEST_DATA[interfaceName][case_idx][k]

ifk =="password":

data[k] = md5_encrypt(val)

else:

data[k] = val

elif key =="response":

# 應該去RESPONSE_DATA中獲取

fork, vin value.items():

interfaceName, case_idx = v.split("->")

data[k] = RESPONSE_DATA[interfaceName][case_idx][k]

elif key =="headers":

if headSource:

forkey, valuein value.items():

ifkey =="request":

fork, vin value.items():

foriin v:

headSource[i] = REQUEST_DATA[k]["headers"][i]

elif key =="response":

fori, valin value.items():

forjin val:

headSource[j] = RESPONSE_DATA[i]["headers"][j]

return"%s"%dataif__name__ =="__main__":

s = {"username":"","password":"","code":""}

h = {"cookie":"123","age":332}

rely = {"request": {"username":"用戶注冊->1","password":"用戶注冊->1"},

"response":{"code":"用戶注冊->1"},

"headers":{"request":{"用戶注冊":["cookie"]},"response":{"用戶注冊":["age"]}}

}

print(GetRely.get(s, rely, h))

6.2 解決數據存儲(RelyDataStore.py)

from config.public_data import RESPONSE_DATA, REQUEST_DATAclassRelyDataStore(object):

def __init__(self):

pass

@classmethod

def do(cls, storePoint, apiName, caseId, request_source = {}, response_source = {}, req_headers={}, res_headers = {}):

forkey, valuein storePoint.items():

ifkey =="request":

# 說明需要存儲的依賴數據來自請求參數,應該將數據存儲到REQUEST_DATA

foriin value:

ifiin request_source:

val = request_source[i]

ifapiName notin REQUEST_DATA:

# 說明存儲數據的結構還未生成，需要指明數據存儲結構

REQUEST_DATA[apiName]={str(caseId): {i: val}}

else:

#說明存儲數據結構中最外層結構已存在

ifstr(caseId)in REQUEST_DATA[apiName]:

REQUEST_DATA[apiName][str(caseId)][i] = val

else:

# 說明內層結構不完整，需要指明完整的結構

REQUEST_DATA[apiName][str(caseId)] = {i: val}

else:

print("請求參數中不存在字段"+ i)

elif key =="response":

#說明需要存儲的依賴數據來自接口的響應body,應該將數據存儲到RESPONSE_DATA

forjin value:

ifjin response_source:

val = response_source[j]

ifapiName notin RESPONSE_DATA:

# 說明存儲數據的結構還未生成，需要指明數據存儲結構

RESPONSE_DATA[apiName]={str(caseId): {j: val}}

else:

#說明存儲數據結構中最外層結構已存在

ifstr(caseId)in RESPONSE_DATA[apiName]:

RESPONSE_DATA[apiName][str(caseId)][j] = val

else:

# 說明內層結構不完整，需要指明完整的結構

RESPONSE_DATA[apiName][str(caseId)] = {j: val}

else:

print("接口的響應body中不存在字段"+ j)

elif key =="headers":

fork, vin value.items():

ifk =="request":

# 說明需要往REQUEST_DATA變量中寫入存儲數據

foritemin v:

ifitemin 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":

# 說明需要往RESPONSE_DATA變量中寫入存儲數據

foritin v:

ifitin 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 校驗數據結果(CheckResult.py)

import reclassCheckResult(object):

def __init__(self):

pass

@classmethod

def check(self, responseObj, checkPoint):

responseBody = responseObj.json()

# responseBody = {"code":"","userid":12,"id":"12"}

errorKey = {}

forkey, valuein checkPoint.items():

ifkeyin responseBody:

ifisinstance(value, (str,int)):

# 等值校驗

ifresponseBody[key] != value:

errorKey[key] = responseBody[key]

elif isinstance(value, dict):

sourceData = responseBody[key]

if"value"in value:

# 模糊匹配校驗

regStr = value["value"]

rg = re.match(regStr,"%s"%sourceData)

if not rg:

errorKey[key] = sourceData

elif "type"in value:

# 數據類型校驗

typeS = value["type"]

iftypeS =="N":

# 說明是整形校驗

ifnot isinstance(sourceData,int):

errorKey[key] = sourceData

else:

errorKey[key] ="[%s] not exist"%key

return errorKeyif__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里面寫結果

fromconfig.public_data import *def write_result(wbObj, sheetObj, responseData, errorKey, rowNum):

try:

# 寫響應body

wbObj.writeCell(sheetObj, content="%s"%responseData,

rowNo = rowNum, colsNo=CASE_responseData)

# 寫校驗結果狀態及錯誤信息

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、創建Log目錄用來存放日志

八、主函數

#encoding=utf-8import requests

import jsonfrom action.get_rely import GetRelyfromconfig.public_data import *from utils.ParseExcel import ParseExcelfrom utils.HttpClient import HttpClientfrom action.data_store import RelyDataStorefrom action.check_result import CheckResultfrom action.write_result import write_resultfromutils.Log import *def main():

parseE = ParseExcel()

parseE.loadWorkBook(file_path)

sheetObj = parseE.getSheetByName("API")

activeList = parseE.getColumn(sheetObj, API_active)

foridx, cellinenumerate(activeList[1:],2):

ifcell.value =="y":

#需要被執行

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

# 下一步讀取用例sheet表，準備執行測試用例

caseSheetObj = parseE.getSheetByName(apiTestCaseFileName)

caseActiveObj = parseE.getColumn(caseSheetObj, CASE_active)

forc_idx, colinenumerate(caseActiveObj[1:],2):

ifcol.value =="y":

#需要執行的用例

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

#發送接口請求之前需要做一下數據依賴的處理

if relyData:

logging.info("處理第%s個接口的第%s條用例的數據依賴！")

requestData = GetRely.get(eval(requestData), eval(relyData))

httpC = HttpClient()

response = httpC.request(requestMethod=requestMethod,

requestData=requestData,

requestUrl=requestUrl,

paramsType=paramsType

)

# 獲取到響應結果后，接下來進行數據依賴存儲邏輯實現

ifresponse.status_code ==200:

responseData = response.json()

# 進行依賴數據存儲

if dataStore:

RelyDataStore.do(eval(dataStore), apiName, c_idx -1, eval(requestData), responseData)

# 接下來就是校驗結果

else:

logging.info("接口【%s】的第【%s】條用例，不需要進行依賴數據存儲！"%(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】條用例，執行失敗，接口協議code非200！"%(apiName, c_idx))

else:

logging.info("第%s個接口的第%s條用例，被忽略執行！"%(idx -1, c_idx-1))

else:

logging.info("第%s行的接口被忽略執行！"%(idx -1))if__name__=="__main__":

main()

框架待完善~~請多多指教~~

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