Python实现多并发访问网站功能示例

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：#Filename

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：

# 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()