本文实例讲述了Python实现快速多线程ping的方法。分享给大家供大家参考。具体如下：
#!/usr/bin/python #_*_coding:utf-8_*_ # ''' 名称：快速多线程ping程序 开发：gyhong gyh9711 日期：20:51 2011-04-25 ''' import pexpect import datetime from threading import Thread host=["192.168.1.1","192.168.1.123","192.168.2.1", "192.168.1.1","192.168.1.123","192.168.2.1", "192.168.1.1","192.168.1.123","192.168.2.1", "192.168.1.1","192.168.1.123","192.168.2.1", "192.168.1.1"] report_ok=[] report_error=[] class PING(Thread): def __init__(self,ip): Thread.__init__(self) self.ip=ip def run(self): Curtime = datetime.datetime.now() #Scrtime = Curtime + datetime.timedelta(0,minute,0) #print("[%s]主机[%s]" % (Curtime,self.ip)) ping=pexpect.spawn("ping -c1 %s" % (self.ip)) check=ping.expect([pexpect.TIMEOUT,"1 packets transmitted, 1 received, 0% packet loss"],2) if check == 0: print("[%s] 超时 %s" % (Curtime,self.ip)) elif check == 1: print ("[%s] %s 可达" % (Curtime,self.ip)) else: print("[%s] 主机%s 不可达" % (Curtime,self.ip)) #多线程同时执行 T_thread=[] for i in host: t=PING(i) T_thread.append(t) for i in range(len(T_thread)): T_thread[i].start() # #print ("n=========问题主机情况如下==========n") #output(report_error) #print ("n=========正常主机情况如下==========n") #output(report_ok)
执行结果：
administrator@nagios:/win/pexpect$ ./ping.py
[2011-04-25 21:30:22.126981] 192.168.1.1 可达
[2011-04-25 21:30:22.148376] 192.168.1.1 可达
[2011-04-25 21:30:22.179846] 192.168.1.1 可达
[2011-04-25 21:30:22.203691] 192.168.1.1 可达
[2011-04-25 21:30:22.227696] 192.168.2.1 可达
[2011-04-25 21:30:22.134049] 超时 192.168.1.123
[2011-04-25 21:30:22.145610] 超时 192.168.2.1
[2011-04-25 21:30:22.157558] 超时 192.168.1.123
[2011-04-25 21:30:22.167898] 超时 192.168.2.1
[2011-04-25 21:30:22.197572] 超时 192.168.1.123
[2011-04-25 21:30:22.202430] 超时 192.168.2.1
[2011-04-25 21:30:22.215561] 超时 192.168.1.123
[2011-04-25 21:30:22.229952] 超时 192.168.1.1
希望本文所述对大家的Python程序设计有所帮助。
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