• 使用python做简单的接口性能测试


    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-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

    还可以据此计算tps,也可以控制并发量循环找出符合响应时间要求的最大并发量,等等

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  • 原文地址:https://www.cnblogs.com/clarke/p/5965778.html
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