我使用subprocess模块启动子流程并连接到其输出流(标准输出)。我希望能够对其标准输出执行非阻塞读取。是否有一种方法使.readline非阻塞或在我调用.readline之前检查流上是否有数据?我希望这是可移植的,或者至少可以在Windows和Linux下工作。
下面是我现在怎么做的(如果没有数据可用,它会阻塞在.readline上):
p = subprocess.Popen('myprogram.exe', stdout = subprocess.PIPE)
output_str = p.stdout.readline()
一种解决方案是让另一个进程执行对该进程的读取,或者创建一个带有超时的进程线程。
这是一个超时函数的线程版本:
http://code.activestate.com/recipes/473878/
但是,是否需要在stdout传入时读取它?
另一种解决方案可能是将输出转储到一个文件中,然后使用p.t wait()等待进程完成。
f = open('myprogram_output.txt','w')
p = subprocess.Popen('myprogram.exe', stdout=f)
p.wait()
f.close()
str = open('myprogram_output.txt','r').read()
You can do this really easily in Twisted. Depending upon your existing code base, this might not be that easy to use, but if you are building a twisted application, then things like this become almost trivial. You create a ProcessProtocol class, and override the outReceived() method. Twisted (depending upon the reactor used) is usually just a big select() loop with callbacks installed to handle data from different file descriptors (often network sockets). So the outReceived() method is simply installing a callback for handling data coming from STDOUT. A simple example demonstrating this behavior is as follows:
from twisted.internet import protocol, reactor
class MyProcessProtocol(protocol.ProcessProtocol):
def outReceived(self, data):
print data
proc = MyProcessProtocol()
reactor.spawnProcess(proc, './myprogram', ['./myprogram', 'arg1', 'arg2', 'arg3'])
reactor.run()
Twisted文档在这方面有一些很好的信息。
如果您围绕Twisted构建整个应用程序,它可以与其他进程(本地或远程)进行异步通信,就像这样非常优雅。另一方面,如果您的程序不是构建在Twisted之上,那么这真的不会有多大帮助。希望这能对其他读者有所帮助,即使它不适用于您的特定应用程序。
我添加这个问题是为了读一些子进程。Popen stdout。
下面是我的非阻塞读解决方案:
import fcntl
def non_block_read(output):
fd = output.fileno()
fl = fcntl.fcntl(fd, fcntl.F_GETFL)
fcntl.fcntl(fd, fcntl.F_SETFL, fl | os.O_NONBLOCK)
try:
return output.read()
except:
return ""
# Use example
from subprocess import *
sb = Popen("echo test && sleep 1000", shell=True, stdout=PIPE)
sb.kill()
# sb.stdout.read() # <-- This will block
non_block_read(sb.stdout)
'test\n'
I have often had a similar problem; Python programs I write frequently need to have the ability to execute some primary functionality while simultaneously accepting user input from the command line (stdin). Simply putting the user input handling functionality in another thread doesn't solve the problem because readline() blocks and has no timeout. If the primary functionality is complete and there is no longer any need to wait for further user input I typically want my program to exit, but it can't because readline() is still blocking in the other thread waiting for a line. A solution I have found to this problem is to make stdin a non-blocking file using the fcntl module:
import fcntl
import os
import sys
# make stdin a non-blocking file
fd = sys.stdin.fileno()
fl = fcntl.fcntl(fd, fcntl.F_GETFL)
fcntl.fcntl(fd, fcntl.F_SETFL, fl | os.O_NONBLOCK)
# user input handling thread
while mainThreadIsRunning:
try: input = sys.stdin.readline()
except: continue
handleInput(input)
在我看来,这比使用select或signal模块来解决这个问题要简洁一些,但它只适用于UNIX…