问题描述
我有点难以理解解决这个简单问题的 python 方法是什么.
I'm kind of struggling to understand what is the python way of solving this simple problem.
我的问题很简单.如果您使用以下代码,它将挂起.这在子流程模块文档中有详细记录.
My problem is quite simple. If you use the follwing code it will hang. This is well documented in the subprocess module doc.
import subprocess
proc = subprocess.Popen(['cat','-'],
stdin=subprocess.PIPE,
stdout=subprocess.PIPE,
)
for i in range(100000):
proc.stdin.write('%d
' % i)
output = proc.communicate()[0]
print output
搜索解决方案(有一个非常有见地的线程,但我现在已经丢失了)我发现了这个使用显式分叉的解决方案(以及其他解决方案):
Searching for a solution (there is a very insightful thread, but I've lost it now) I found this solution (among others) that uses an explicit fork:
import os
import sys
from subprocess import Popen, PIPE
def produce(to_sed):
for i in range(100000):
to_sed.write("%d
" % i)
to_sed.flush()
#this would happen implicitly, anyway, but is here for the example
to_sed.close()
def consume(from_sed):
while 1:
res = from_sed.readline()
if not res:
sys.exit(0)
#sys.exit(proc.poll())
print 'received: ', [res]
def main():
proc = Popen(['cat','-'],stdin=PIPE,stdout=PIPE)
to_sed = proc.stdin
from_sed = proc.stdout
pid = os.fork()
if pid == 0 :
from_sed.close()
produce(to_sed)
return
else :
to_sed.close()
consume(from_sed)
if __name__ == '__main__':
main()
虽然这个解决方案在概念上很容易理解,但它使用了一个更多的进程,并且与子进程模块相比,它的级别太低了(那只是为了隐藏这类事情......).
While this solution is conceptually very easy to understand, it uses one more process and stuck as too low level compared to the subprocess module (that is there just to hide this kind of things...).
我想知道:是否有使用不会挂起的子流程模块的简单而干净的解决方案,或者为了实现这种模式,我必须退后一步并实现旧式选择循环或显式分叉?
I'm wondering: is there a simple and clean solution using the subprocess module that won't hung or to implement this patter I have to do a step back and implement an old-style select loop or an explicit fork?
谢谢
推荐答案
如果你想要一个纯 Python 解决方案,你需要将阅读器或编写器放在单独的线程中.threading 包是一种轻量级的方法,可以方便地访问通用对象并且没有混乱的分叉.
If you want a pure Python solution, you need to put either the reader or the writer in a separate thread. The threading package is a lightweight way to do this, with convenient access to common objects and no messy forking.
import subprocess
import threading
import sys
proc = subprocess.Popen(['cat','-'],
stdin=subprocess.PIPE,
stdout=subprocess.PIPE,
)
def writer():
for i in range(100000):
proc.stdin.write(b'%d
' % i)
proc.stdin.close()
thread = threading.Thread(target=writer)
thread.start()
for line in proc.stdout:
sys.stdout.write(line.decode())
thread.join()
proc.wait()
看到 subprocess 模块经过现代化改造以支持流和协程可能会很好,这将允许更优雅地构建混合 Python 片段和 shell 片段的管道.
It might be neat to see the subprocess module modernized to support streams and coroutines, which would allow pipelines that mix Python pieces and shell pieces to be constructed more elegantly.
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