這篇文章主要介紹了Python實現快速多線程ping的方法,實例分析了Python多線程及ICMP數據包的發送技巧,具有一定參考借鑒價值,需要的朋友可以參考下
本文實例講述了Python實現快速多線程ping的方法。分享給大家供大家參考。具體如下:
- #!/usr/bin/python
- #_*_coding:utf-8_*_
- #
- '''
- 名稱:快速多線程ping程序
- 開發: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]主機[%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] 超時 %s" % (Curtime,self.ip))
- elif check == 1:
- print ("[%s] %s 可達" % (Curtime,self.ip))
- else:
- print("[%s] 主機%s 不可達" % (Curtime,self.ip))
- #多線程同時執行
- 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=========問題主機情況如下==========/n")
- #output(report_error)
- #print ("/n=========正常主機情況如下==========/n")
- #output(report_ok)
執行結果:
administrator@nagios:/win/pexpect$ ./ping.py
[2011-04-25 21:30:22.126981] 192.168.1.1 可達
[2011-04-25 21:30:22.148376] 192.168.1.1 可達
[2011-04-25 21:30:22.179846] 192.168.1.1 可達
[2011-04-25 21:30:22.203691] 192.168.1.1 可達
[2011-04-25 21:30:22.227696] 192.168.2.1 可達
[2011-04-25 21:30:22.134049] 超時 192.168.1.123
[2011-04-25 21:30:22.145610] 超時 192.168.2.1
[2011-04-25 21:30:22.157558] 超時 192.168.1.123
[2011-04-25 21:30:22.167898] 超時 192.168.2.1
[2011-04-25 21:30:22.197572] 超時 192.168.1.123
[2011-04-25 21:30:22.202430] 超時 192.168.2.1
[2011-04-25 21:30:22.215561] 超時 192.168.1.123
[2011-04-25 21:30:22.229952] 超時 192.168.1.1
希望本文所述對大家的Python程序設計有所幫助。
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