这篇文章主要介绍了Python实现快速多线程ping的方法,实例分析了Python多线程及ICMP数据包的发送技巧,具有一定参考借鉴价值,需要的朋友可以参考下
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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