下面是运行任意命令返回其标准输出数据的Python代码，或在非零退出码上引发异常:
proc = subprocess.Popen(
cmd,
stderr=subprocess.STDOUT, # Merge stdout and stderr
stdout=subprocess.PIPE,
shell=True)
communication用于等待进程退出:
stdoutdata, stderrdata = proc.communicate()
子进程模块不支持超时——杀死运行超过X秒的进程的能力——因此，通信可能需要很长时间才能运行。
在Windows和Linux上运行的Python程序中实现超时的最简单方法是什么?
当前回答
Jcollado的答案可以使用线程来简化。定时器类:
import shlex
from subprocess import Popen, PIPE
from threading import Timer
def run(cmd, timeout_sec):
proc = Popen(shlex.split(cmd), stdout=PIPE, stderr=PIPE)
timer = Timer(timeout_sec, proc.kill)
try:
timer.start()
stdout, stderr = proc.communicate()
finally:
timer.cancel()
# Examples: both take 1 second
run("sleep 1", 5) # process ends normally at 1 second
run("sleep 5", 1) # timeout happens at 1 second
其他回答
没想到居然没人提到超时
Timeout 5 ping -c 3 somehost
显然，这并不适用于每个用例，但如果您处理的是一个简单的脚本，那么这是很难克服的。
mac用户也可以通过homebrew在coreutils中使用gtimeout。
只是想写些简单点的东西。
#!/usr/bin/python
from subprocess import Popen, PIPE
import datetime
import time
popen = Popen(["/bin/sleep", "10"]);
pid = popen.pid
sttime = time.time();
waittime = 3
print "Start time %s"%(sttime)
while True:
popen.poll();
time.sleep(1)
rcode = popen.returncode
now = time.time();
if [ rcode is None ] and [ now > (sttime + waittime) ] :
print "Killing it now"
popen.kill()
python 2.7
import time
import subprocess
def run_command(cmd, timeout=0):
start_time = time.time()
df = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
while timeout and df.poll() == None:
if time.time()-start_time >= timeout:
df.kill()
return -1, ""
output = '\n'.join(df.communicate()).strip()
return df.returncode, output
您可以使用select来完成此操作
import subprocess
from datetime import datetime
from select import select
def call_with_timeout(cmd, timeout):
started = datetime.now()
sp = subprocess.Popen(cmd, stdout=subprocess.PIPE)
while True:
p = select([sp.stdout], [], [], timeout)
if p[0]:
p[0][0].read()
ret = sp.poll()
if ret is not None:
return ret
if (datetime.now()-started).total_seconds() > timeout:
sp.kill()
return None
我已经在Windows, Linux和Mac上成功地使用了killableprocess。如果你使用Cygwin Python，你将需要OSAF的killableprocess版本，否则本机Windows进程将不会被杀死。
