Python3实现简单的接口性能测试 Python3接口性能测试实例代码
林深见鹿,海蓝见鲸 人气:0想了解Python3接口性能测试实例代码的相关内容吗,林深见鹿,海蓝见鲸在本文为您仔细讲解Python3实现简单的接口性能测试的相关知识和一些Code实例,欢迎阅读和指正,我们先划重点:Python3,性能测试,下面大家一起来学习吧。
首先来看实例代码:
# -*- coding:utf-8 -*- import requests import datetime import time import threading ''' allow_redirects = False禁止重定向,添加在request参数后 get请求用params传参 post请求,数据类型form,用data传参 post请求,数据类型form,用data传参 post请求,数据类型json,json传参 timeout:请求超时时间,添加在request参数后 nub = 10#设置并发线程数 ResponseTime=float(result.elapsed.microseconds)/1000 #获取响应时间,单位ms ThinkTime = 0.5#设置思考时间 AverageTime = "{:.3f}".format(float(sum(myrequest.times))/float(len(myrequest.times)))#计算数组的平均值,保留3位小数 totaltime = float(hour)*60*60 + float(minute)*60 + float(second) #计算总的思考时间+请求时间 ''' class url_request: times = [] error = [] def weather_DC(self): myrequest=url_request() weatherinfo_search = 'https://restapi.amap.com/v3/weather/weatherInfo?parameters' params = {'key': 'cd1b11e80ffac05253196aa2a1233f25', 'city': 110101, 'extensions': 'base', 'output': 'JSON'} result = requests.get(url=weatherinfo_search, params=params) print("状态码:",result.status_code) print("返回报文:",result.text) ResponseTime=float(result.elapsed.microseconds)/1000 myrequest.times.append(ResponseTime) if result.status_code !=200 : myrequest.error.append("0") if __name__=='__main__': myrequest=url_request() threads = [] starttime = datetime.datetime.now() print("请求开始时间:request start time %s" %starttime) nub = 10 ThinkTime = 0.5 for i in range(1, nub+1): t = threading.Thread(target=myrequest.weather_DC()) threads.append(t) for t in threads: time.sleep(ThinkTime) print("线程数:thread %s" %t) t.setDaemon(True) t.start() t.join() endtime = datetime.datetime.now() print("请求结束时间:request end time %s" %endtime) time.sleep(3) AverageTime = "{:.3f}".format(float(sum(myrequest.times))/float(len(myrequest.times))) print("平均响应时间:Average Response Time %s ms" %AverageTime) usetime = str(endtime - starttime) hour = usetime.split(':').pop(0) minute = usetime.split(':').pop(1) second = usetime.split(':').pop(2) totaltime = float(hour)*60*60 + float(minute)*60 + float(second) print("并发数:Concurrent processing %s" %nub) print("#总共消耗的时间:use total time %s s" %(totaltime-float(nub*ThinkTime))) print("错误请求数:fail request %s s" %myrequest.error.count("0"))
实例扩展:
利用ruquest发送请求,利用多线程模拟并发
#!/user/bin/env python #coding=utf-8 import requests import datetime import time import threading class url_request(): times = [] error = [] def req(self,AppID,url): myreq=url_request() headers = {'User-Agent' : 'Mozilla/5.0 (Linux; Android 4.2.1; en-us; Nexus 4 Build/JOP40D) AppleWebKit/535.19 (KHTML, like Gecko) Chrome/18.0.1025.166 Mobile Safari/535.19'} payload = {'AppID':AppID,'CurrentURL':url} r = requests.post("http://xx.xxx.com/WeiXinJSAccessToken/json/WeChatJSTicket",headers=headers,data=payload) ResponseTime=float(r.elapsed.microseconds)/1000 #获取响应时间,单位ms myreq.times.append(ResponseTime) #将响应时间写入数组 if r.status_code !=200 : myreq.error.append("0") if __name__=='__main__': myreq=url_request() threads = [] starttime = datetime.datetime.now() print "request start time %s" %starttime nub = 50#设置并发线程数 ThinkTime = 0.5#设置思考时间 for i in range(1, nub+1): t = threading.Thread(target=myreq.req, args=('12','http://m.ctrip.com/webapp/cpage/#mypoints')) threads.append(t) for t in threads: time.sleep(ThinkTime) #print "thread %s" %t #打印线程 t.setDaemon(True) t.start() t.join() endtime = datetime.datetime.now() print "request end time %s" %endtime time.sleep(3) AverageTime = "{:.3f}".format(float(sum(myreq.times))/float(len(myreq.times))) #计算数组的平均值,保留3位小数 print "Average Response Time %s ms" %AverageTime #打印平均响应时间 usetime = str(endtime - starttime) hour = usetime.split(':').pop(0) minute = usetime.split(':').pop(1) second = usetime.split(':').pop(2) totaltime = float(hour)*60*60 + float(minute)*60 + float(second) #计算总的思考时间+请求时间 print "Concurrent processing %s" %nub #打印并发数 print "use total time %s s" %(totaltime-float(nub*ThinkTime)) #打印总共消耗的时间 print "fail request %s" %myreq.error.count("0") #打印错误请求数
request start time 2015-02-10 18:24:14.316000 request end time 2015-02-10 18:24:39.769000 Average Response Time 46.700 ms Concurrent processing 50 use total time 25.453 s fail request 1
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