python测试程序的qps和响应时间代码_python性能测试，请求QPS测试

QPS &＃61; (1000ms/平均响应时间ms)*服务并行数量

#!/user/bin/env python

#coding&＃61;utf-8

import requests

import datetime

import time

import threading

import json

class url_request():

times &＃61; []

error &＃61; []

def req(self):

for i in range(100):

myreq&＃61;url_request()

headers &＃61; {&＃39;User-Agent&＃39; : &＃39;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&＃39;}

payload &＃61; {&＃39;user_id&＃39;:"000001",&＃39;product_id&＃39;:"000001","query":"价格怎么样"}

payload &＃61; json.dumps(payload)

r &＃61; requests.post("http://192.168.28.70:6666/get_answer",data&＃61;payload)

ResponseTime&＃61;float(r.elapsed.microseconds)/1000 #获取响应时间&＃xff0c;单位ms

myreq.times.append(ResponseTime) #将响应时间写入数组

if r.status_code !&＃61;200 :

myreq.error.append("0")

if __name__&＃61;&＃61;&＃39;__main__&＃39;:

myreq&＃61;url_request()

threads &＃61; []

starttime &＃61; datetime.datetime.now()

print ( "request start time %s" %starttime)

nub &＃61; 1000#设置并发线程数

ThinkTime &＃61; 0.1#设置思考时间

for i in range(1, nub&＃43;1):

t &＃61; threading.Thread(target&＃61;myreq.req)

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 &＃61; datetime.datetime.now()

print ("request end time %s" %endtime)

time.sleep(3)

AverageTime &＃61; "{:.3f}".format(float(sum(myreq.times))/float(len(myreq.times))) #计算数组的平均值&＃xff0c;保留3位小数

print ("Average Response Time %s ms" %AverageTime )#打印平均响应时间

usetime &＃61; str(endtime - starttime)

hour &＃61; usetime.split(&＃39;:&＃39;).pop(0)

minute &＃61; usetime.split(&＃39;:&＃39;).pop(1)

second &＃61; usetime.split(&＃39;:&＃39;).pop(2)

totaltime &＃61; float(hour)*60*60 &＃43; float(minute)*60 &＃43; float(second) #计算总的思考时间&＃43;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 2020-09-09 11:24:24.234534

request end time 2020-09-09 11:24:29.448628

Average Response Time 44.337 ms

Concurrent processing 50

use total time 0.21409400000000023 s

fail request 0