使用

思路：利用ruquest发送请求，利用多线程模拟并发

下面直接上代码：

#!/user/bin/env python
#coding=utf-8import requests
import datetime
import time
import threadingclassurl_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ifr.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foriinrange(1, nub+1): 
        t= threading.Thread(target=myreq.req, args=('12','http://m.ctrip.com/webapp/cpage/#mypoints'))
        threads.append(t)fortinthreads:
        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