我正在尝试通过线程调试ping主机列表的代码。
在类的第一次start()调用中,结果很好。 在随后的调用(start())中,我在dictionnary中得到重复。
示例结果:
INFO: main :[u'192.168.1.71',u'192.168.1.70']
信息:主要:启动看门狗,轮询间隔设置为15分钟/ 15秒
INFO: main :set([u'192.168.1.71',u'192.168.1.70'])
信息:主要:Ping IP ...
INFO: main :{'dead':[u'192.168.1.70',u'192.168.1.70'],'alive':[u'192.168.1.71',u'192.168 .1.71' ]}
信息:主要:休眠...
任何人都可以提供帮助吗?
#!/usr/bin/env python
import subprocess
import threading
class Pinger(object):
status = {'alive': [], 'dead': []} # Populated while we are running
hosts = [] # List of all hosts/ips in our input queue
# How many ping process at the time.
thread_count = 4
# Lock object to keep track the threads in loops, where it can potentially be race conditions.
lock = threading.Lock()
def ping(self, ip):
# Use the system ping command with count of 1 and wait time of 1.
ret = subprocess.call(['ping', '-c', '2', '-W', '1', ip],
stdout=open('/dev/null', 'w'),
stderr=open('/dev/null', 'w'))
return ret == 0 # Return True if our ping command succeeds
def pop_queue(self):
ip = None
self.lock.acquire() # Grab or wait+grab the lock.
if self.hosts:
ip = self.hosts.pop()
self.lock.release() # Release the lock, so another thread could grab it.
return ip
def dequeue(self):
while True:
ip = self.pop_queue()
if not ip:
return None
result = 'alive' if self.ping(ip) else 'dead'
self.status[result].append(ip)
def start(self):
threads = []
for i in range(self.thread_count):
# Create self.thread_count number of threads that together will
# cooperate removing every ip in the list. Each thread will do the
# job as fast as it can.
t = threading.Thread(target=self.dequeue)
t.start()
threads.append(t)
# Wait until all the threads are done. .join() is blocking.
[ t.join() for t in threads ]
return self.status
if __name__ == '__main__':
ping = Pinger()
ping.thread_count = 8
ping.hosts = [
'10.0.0.1', '10.0.0.2', '10.0.0.3', '10.0.0.4', '10.0.0.0',
'10.0.0.255', '10.0.0.100', 'google.com', 'github.com',
'nonexisting', '127.0.1.2', '*not able to ping!*', '8.8.8.8'
]
print ping.start()
答案 0 :(得分:0)
使用multiprocessing.Pool
会让您的生活更轻松。你可以用以下方法完成同样的事情:
import multiprocessing
import subprocess
hosts = [
'10.0.0.1', '10.0.0.2', '10.0.0.3', '10.0.0.4', '10.0.0.0', '10.0.0.255', '10.0.0.100',
'google.com', 'github.com', 'nonexisting', '127.0.1.2', '*not able to ping!*', '8.8.8.8'
]
def ping(host):
print("pinging", host)
ret = subprocess.call(['ping', '-c', '2', '-W', '1', host],
stdout=open('/dev/null', 'w'), stderr=open('/dev/null', 'w'))
return (host, ret == 0)
pool = multiprocessing.Pool(processes=8)
out = {'dead': [], 'alive': []}
for host, alive in pool.map(ping, hosts):
if alive:
out['alive'].append(host)
else:
out['dead'].append(host)
print(out)
如果由于某种原因你需要使用线程而不是进程,你可以通过(命名不当)multiprocessing.dummy.Pool
而不是multiprocessing.Pool
使用相同的功能:
from multiprocessing.dummy import Pool
否则,用法完全相同。