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()

当前回答

下面是我的代码,用于捕获子进程ASAP的每个输出,包括部分行。它同时泵浦,stdout和stderr的顺序几乎是正确的。

在Python 2.7 linux和windows上测试并正确工作。

#!/usr/bin/python
#
# Runner with stdout/stderr catcher
#
from sys import argv
from subprocess import Popen, PIPE
import os, io
from threading import Thread
import Queue
def __main__():
    if (len(argv) > 1) and (argv[-1] == "-sub-"):
        import time, sys
        print "Application runned!"
        time.sleep(2)
        print "Slept 2 second"
        time.sleep(1)
        print "Slept 1 additional second",
        time.sleep(2)
        sys.stderr.write("Stderr output after 5 seconds")
        print "Eol on stdin"
        sys.stderr.write("Eol on stderr\n")
        time.sleep(1)
        print "Wow, we have end of work!",
    else:
        os.environ["PYTHONUNBUFFERED"]="1"
        try:
            p = Popen( argv + ["-sub-"],
                       bufsize=0, # line-buffered
                       stdin=PIPE, stdout=PIPE, stderr=PIPE )
        except WindowsError, W:
            if W.winerror==193:
                p = Popen( argv + ["-sub-"],
                           shell=True, # Try to run via shell
                           bufsize=0, # line-buffered
                           stdin=PIPE, stdout=PIPE, stderr=PIPE )
            else:
                raise
        inp = Queue.Queue()
        sout = io.open(p.stdout.fileno(), 'rb', closefd=False)
        serr = io.open(p.stderr.fileno(), 'rb', closefd=False)
        def Pump(stream, category):
            queue = Queue.Queue()
            def rdr():
                while True:
                    buf = stream.read1(8192)
                    if len(buf)>0:
                        queue.put( buf )
                    else:
                        queue.put( None )
                        return
            def clct():
                active = True
                while active:
                    r = queue.get()
                    try:
                        while True:
                            r1 = queue.get(timeout=0.005)
                            if r1 is None:
                                active = False
                                break
                            else:
                                r += r1
                    except Queue.Empty:
                        pass
                    inp.put( (category, r) )
            for tgt in [rdr, clct]:
                th = Thread(target=tgt)
                th.setDaemon(True)
                th.start()
        Pump(sout, 'stdout')
        Pump(serr, 'stderr')

        while p.poll() is None:
            # App still working
            try:
                chan,line = inp.get(timeout = 1.0)
                if chan=='stdout':
                    print "STDOUT>>", line, "<?<"
                elif chan=='stderr':
                    print " ERROR==", line, "=?="
            except Queue.Empty:
                pass
        print "Finish"

if __name__ == '__main__':
    __main__()

其他回答

编辑:这个实现仍然会阻塞。请用j·f·塞巴斯蒂安的答案。

我尝试了上面的答案,但是线程代码的额外风险和维护令人担忧。

通过io模块(仅限于2.6),我找到了BufferedReader。这是我的无线程、无阻塞的解决方案。

import io
from subprocess import PIPE, Popen

p = Popen(['myprogram.exe'], stdout=PIPE)

SLEEP_DELAY = 0.001

# Create an io.BufferedReader on the file descriptor for stdout
with io.open(p.stdout.fileno(), 'rb', closefd=False) as buffer:
  while p.poll() == None:
      time.sleep(SLEEP_DELAY)
      while '\n' in bufferedStdout.peek(bufferedStdout.buffer_size):
          line = buffer.readline()
          # do stuff with the line

  # Handle any remaining output after the process has ended
  while buffer.peek():
    line = buffer.readline()
    # do stuff with the line

I also faced the problem described by Jesse and solved it by using "select" as Bradley, Andy and others did but in a blocking mode to avoid a busy loop. It uses a dummy Pipe as a fake stdin. The select blocks and wait for either stdin or the pipe to be ready. When a key is pressed stdin unblocks the select and the key value can be retrieved with read(1). When a different thread writes to the pipe then the pipe unblocks the select and it can be taken as an indication that the need for stdin is over. Here is some reference code:

import sys
import os
from select import select

# -------------------------------------------------------------------------    
# Set the pipe (fake stdin) to simulate a final key stroke
# which will unblock the select statement
readEnd, writeEnd = os.pipe()
readFile = os.fdopen(readEnd)
writeFile = os.fdopen(writeEnd, "w")

# -------------------------------------------------------------------------
def getKey():

    # Wait for stdin or pipe (fake stdin) to be ready
    dr,dw,de = select([sys.__stdin__, readFile], [], [])

    # If stdin is the one ready then read it and return value
    if sys.__stdin__ in dr:
        return sys.__stdin__.read(1)   # For Windows use ----> getch() from module msvcrt

    # Must finish
    else:
        return None

# -------------------------------------------------------------------------
def breakStdinRead():
    writeFile.write(' ')
    writeFile.flush()

# -------------------------------------------------------------------------
# MAIN CODE

# Get key stroke
key = getKey()

# Keyboard input
if key:
    # ... do your stuff with the key value

# Faked keystroke
else:
    # ... use of stdin finished

# -------------------------------------------------------------------------
# OTHER THREAD CODE

breakStdinRead()

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()

在现代Python中,情况要好得多。

下面是一个简单的子程序"hello.py":

#!/usr/bin/env python3

while True:
    i = input()
    if i == "quit":
        break
    print(f"hello {i}")

以及一个与之交互的程序:

import asyncio


async def main():
    proc = await asyncio.subprocess.create_subprocess_exec(
        "./hello.py", stdin=asyncio.subprocess.PIPE, stdout=asyncio.subprocess.PIPE
    )
    proc.stdin.write(b"bob\n")
    print(await proc.stdout.read(1024))
    proc.stdin.write(b"alice\n")
    print(await proc.stdout.read(1024))
    proc.stdin.write(b"quit\n")
    await proc.wait()


asyncio.run(main())

打印出来:

b'hello bob\n'
b'hello alice\n'

请注意,实际的模式(几乎所有前面的回答,包括这里和相关的问题)是将子进程的stdout文件描述符设置为非阻塞,然后在某种选择循环中轮询它。当然,现在这个循环是由asyncio提供的。

Python 3.4为异步IO引入了新的临时API——asyncio模块。

该方法类似于@Bryan Ward的twisted-based回答——定义一个协议,一旦数据准备好,就调用它的方法:

#!/usr/bin/env python3
import asyncio
import os

class SubprocessProtocol(asyncio.SubprocessProtocol):
    def pipe_data_received(self, fd, data):
        if fd == 1: # got stdout data (bytes)
            print(data)

    def connection_lost(self, exc):
        loop.stop() # end loop.run_forever()

if os.name == 'nt':
    loop = asyncio.ProactorEventLoop() # for subprocess' pipes on Windows
    asyncio.set_event_loop(loop)
else:
    loop = asyncio.get_event_loop()
try:
    loop.run_until_complete(loop.subprocess_exec(SubprocessProtocol, 
        "myprogram.exe", "arg1", "arg2"))
    loop.run_forever()
finally:
    loop.close()

请参阅文档中的“Subprocess”。

有一个高级接口asyncio.create_subprocess_exec(),它返回允许使用StreamReader.readline()协程异步读取一行的Process对象 (使用async/await Python 3.5+语法):

#!/usr/bin/env python3.5
import asyncio
import locale
import sys
from asyncio.subprocess import PIPE
from contextlib import closing

async def readline_and_kill(*args):
    # start child process
    process = await asyncio.create_subprocess_exec(*args, stdout=PIPE)

    # read line (sequence of bytes ending with b'\n') asynchronously
    async for line in process.stdout:
        print("got line:", line.decode(locale.getpreferredencoding(False)))
        break
    process.kill()
    return await process.wait() # wait for the child process to exit


if sys.platform == "win32":
    loop = asyncio.ProactorEventLoop()
    asyncio.set_event_loop(loop)
else:
    loop = asyncio.get_event_loop()

with closing(loop):
    sys.exit(loop.run_until_complete(readline_and_kill(
        "myprogram.exe", "arg1", "arg2")))

Readline_and_kill()执行以下任务:

启动子进程,将其标准输出重定向到管道 异步从子进程的stdout中读取一行 杀子流程 等待它退出

如果需要,每个步骤都可以被超时秒限制。