Python3接口性能测试实例代码
首先来看实例代码:
# -*- coding:utf-8 -*-import requestsimport datetimeimport timeimport 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msThinkTime = 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)/1000myrequest.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 = 10ThinkTime = 0.5for 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-8import requestsimport datetimeimport timeimport threadingclass 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=https://www.it610.com/article/payload)ResponseTime=float(r.elapsed.microseconds)/1000 #获取响应时间,单位msmyreq.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" %endtimetime.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 18:24:14.316000request end time 2015-02-10 18:24:39.769000Average Response Time 46.700 msConcurrent processing 50use total time 25.453 sfail request 1
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