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Python多并发访问网站

巴扎黑

发布： 2017-08-07 17:26:57

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这篇文章主要介绍了python实现多并发访问网站功能,结合具体实例形式分析了python线程结合url模块并发访问网站的相关操作技巧,需要的朋友可以参考下

本文实例讲述了Python实现多并发访问网站功能。分享给大家供大家参考，具体如下：

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# Filename:visitweb_threads.py
# Description:python visit web, get startTime, endTime, everytimes spentTime,threading
import threading
import urllib
import time
import datetime
print 'num    web       SpentTime'
def Process(url,n):
  minSpan = 0.0
  maxSpan = 0.0
  sumSpan= 0.0
  over1s = 0
  file = open('data.txt','a') # save Data
  for i in range(n):
    startTime =datetime.datetime.now()
    try:
      urlItem = urllib.urlopen(url)
      htmSource = urlItem.read()
      urlItem.close()
    except:
      pass
    endTime = datetime.datetime.now()
    span = (endTime-startTime).total_seconds()
    sumSpan = sumSpan + span
    if span < minSpan:
      minSpan = span
    if span > maxSpan:
      maxSpan = span
    if span>1:
      over1s=over1s + 1
    print(u'%4d %s Spent:%7s seconds'%(i,url,span))
    file.write(u'%4d %s ST:%s ET:%s Spent :%s seconds\n'%(i,url,startTime,endTime,span))
  file.write('\n')
  print(u'\n requested:%s times\n Total Spent:%s seconds\n avg:%s seconds\n max:%s seconds\n min:%s seconds\n over 1 secnod:%s times\n'%(n,sumSpan,sumSpan/n,maxSpan,minSpan,over1s))
  file.write(u' requested:%s times\n Total Spent:%s seconds\n avg:%s seconds\n max:%s seconds\n min:%s seconds\n over 1 secnod:%s times\n'%(n,sumSpan,sumSpan/n,maxSpan,minSpan,over1s))
  file.close()
class ThreadClass(threading.Thread):
  def run(self):
    now = datetime.datetime.now()
    print "%s says Hello World at time: %s" % (self.getName(), now)
    file = open('threads_data.txt','a') # save threads_data
    file.write( "%s says Hello World at time: %s\n" % (self.getName(), now))
    Process('http://222.20.6.184/main.aspx',10) # visit website 网站的Url和每个进程的访问次数
    now = datetime.datetime.now()
    print "%s says Goodbye at time: %s" % (self.getName(), now)
    file.write( "%s says Goodbye at time: %s\n" % (self.getName(), now))
    file.close()
if __name__=='__main__':
#  file = open('threads_data.txt','w')
#  file.close()
#  file = open('data.txt','w')
#  file.close()
  for i in range(1000): # 多少次同时并发访问
    t = ThreadClass()
    t.start()

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