我发现如何以流的方式读取子进程的输出(同时也在一个变量中捕获它)在Python中(对于多个输出流，即stdout和stderr)是通过传递子进程一个命名的临时文件来写入，然后在单独的读取句柄中打开相同的临时文件。

注意:这是针对Python 3的

    stdout_write = tempfile.NamedTemporaryFile()
    stdout_read = io.open(stdout_write.name, "r")
    stderr_write = tempfile.NamedTemporaryFile()
    stderr_read = io.open(stderr_write.name, "r")

    stdout_captured = ""
    stderr_captured = ""

    proc = subprocess.Popen(["command"], stdout=stdout_write, stderr=stderr_write)
    while True:
        proc_done: bool = cli_process.poll() is not None

        while True:
            content = stdout_read.read(1024)
            sys.stdout.write(content)
            stdout_captured += content
            if len(content) < 1024:
                break

        while True:
            content = stderr_read.read(1024)
            sys.stderr.write(content)
            stdout_captured += content
            if len(content) < 1024:
                break

        if proc_done:
            break

        time.sleep(0.1)

    stdout_write.close()
    stdout_read.close()
    stderr_write.close()
    stderr_read.close()

但是，如果您不需要捕获输出，那么您可以简单地传递sys。Stdout和sys。stderr流从你的Python脚本到被调用的子进程，正如xaav在他的回答中建议的那样:

subprocess.Popen(["command"], stdout=sys.stdout, stderr=sys.stderr)

我找到了一个解决复杂问题的简单方法。

stdout和stderr都需要流化。 它们都需要是非阻塞的:当没有输出时，当有太多输出时。 不想使用Threading或multiprocessing，也不愿意使用pexpect。

这个解决方案使用了我在这里找到的一个要点

import subprocess as sbp
import fcntl
import os

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.readline()
    except:
        return ""

with sbp.Popen('find / -name fdsfjdlsjf',
                shell=True,
                universal_newlines=True,
                encoding='utf-8',
                bufsize=1,
                stdout=sbp.PIPE,
                stderr=sbp.PIPE) as p:
    while True:
        out = non_block_read(p.stdout)
        err = non_block_read(p.stderr)
        if out:
            print(out, end='')
        if err:
            print('E: ' + err, end='')
        if p.poll() is not None:
            break

解决方案1:实时并发记录stdout和stderr

一种简单的解决方案，可以将stdout和stderr同时记录，逐行实时地记录到日志文件中。

import subprocess as sp
from concurrent.futures import ThreadPoolExecutor


def log_popen_pipe(p, stdfile):

    with open("mylog.txt", "w") as f:

        while p.poll() is None:
            f.write(stdfile.readline())
            f.flush()

        # Write the rest from the buffer
        f.write(stdfile.read())


with sp.Popen(["ls"], stdout=sp.PIPE, stderr=sp.PIPE, text=True) as p:

    with ThreadPoolExecutor(2) as pool:
        r1 = pool.submit(log_popen_pipe, p, p.stdout)
        r2 = pool.submit(log_popen_pipe, p, p.stderr)
        r1.result()
        r2.result()

解决方案2:函数read_popen_pipes()，它允许同时实时遍历两个管道(stdout/stderr)

import subprocess as sp
from queue import Queue, Empty
from concurrent.futures import ThreadPoolExecutor


def enqueue_output(file, queue):
    for line in iter(file.readline, ''):
        queue.put(line)
    file.close()


def read_popen_pipes(p):

    with ThreadPoolExecutor(2) as pool:
        q_stdout, q_stderr = Queue(), Queue()

        pool.submit(enqueue_output, p.stdout, q_stdout)
        pool.submit(enqueue_output, p.stderr, q_stderr)

        while True:

            if p.poll() is not None and q_stdout.empty() and q_stderr.empty():
                break

            out_line = err_line = ''

            try:
                out_line = q_stdout.get_nowait()
                err_line = q_stderr.get_nowait()
            except Empty:
                pass

            yield (out_line, err_line)

# The function in use:

with sp.Popen(["ls"], stdout=sp.PIPE, stderr=sp.PIPE, text=True) as p:

    for out_line, err_line in read_popen_pipes(p):
        print(out_line, end='')
        print(err_line, end='')

    p.poll()

一个好的但“重量级”的解决方案是使用Twisted -见底部。

如果你愿意只使用stdout，那么下面这些代码应该可以工作:

import subprocess
import sys
popenobj = subprocess.Popen(["ls", "-Rl"], stdout=subprocess.PIPE)
while not popenobj.poll():
   stdoutdata = popenobj.stdout.readline()
   if stdoutdata:
      sys.stdout.write(stdoutdata)
   else:
      break
print "Return code", popenobj.returncode

(如果你使用read()，它会尝试读取整个“文件”，这是没有用的，我们真正可以在这里使用的是读取管道中当前所有数据的东西)

你也可以尝试用线程来解决这个问题，例如:

import subprocess
import sys
import threading

popenobj = subprocess.Popen("ls", stdout=subprocess.PIPE, shell=True)

def stdoutprocess(o):
   while True:
      stdoutdata = o.stdout.readline()
      if stdoutdata:
         sys.stdout.write(stdoutdata)
      else:
         break

t = threading.Thread(target=stdoutprocess, args=(popenobj,))
t.start()
popenobj.wait()
t.join()
print "Return code", popenobj.returncode

现在我们可以通过两个线程来添加stderr。

但是请注意，子进程文档不鼓励直接使用这些文件，并建议使用communication()(主要涉及死锁，我认为这不是上面的问题)，解决方案有点笨，所以看起来子进程模块不太适合这项工作(也请参阅:http://www.python.org/dev/peps/pep-3145/)，我们需要看看其他东西。

一个更复杂的解决方案是使用Twisted，如下所示:https://twistedmatrix.com/documents/11.1.0/core/howto/process.html

Twisted的方法是使用reactor.spawnprocess()创建进程，并提供一个ProcessProtocol，然后异步处理输出。Twisted示例Python代码在这里:https://twistedmatrix.com/documents/11.1.0/core/howto/listings/process/process.py

在我看来，“来自subprocess命令的实时输出”意味着stdout和stderr都应该是实时的。stdin也应该被传递给子进程。

下面的片段在stdout和stderr上生成实时输出，并在outcome.{stdout,stderr}中将它们作为字节捕获。

窍门包括正确使用select和poll。

在Python 3.9上运行良好。

        if self.log == 1:
            print(f"** cmnd= {fullCmndStr}")

        self.outcome.stdcmnd = fullCmndStr
        try:
            process = subprocess.Popen(
                fullCmndStr,
                shell=True,
                encoding='utf8',
                executable="/bin/bash",
                stdin=subprocess.PIPE,
                stdout=subprocess.PIPE,
                stderr=subprocess.PIPE,
            )
        except OSError:
            self.outcome.error = OSError
        else:
            process.stdin.write(stdin)
            process.stdin.close() # type: ignore

        stdoutStrFile = io.StringIO("")
        stderrStrFile = io.StringIO("")

        pollStdout = select.poll()
        pollStderr = select.poll()

        pollStdout.register(process.stdout, select.POLLIN)
        pollStderr.register(process.stderr, select.POLLIN)

        stdoutEOF = False
        stderrEOF = False

        while True:
            stdoutActivity = pollStdout.poll(0)
            if stdoutActivity:
                c= process.stdout.read(1)
                if c:
                    stdoutStrFile.write(c)
                    if self.log == 1:
                        sys.stdout.write(c)
                else:
                   stdoutEOF = True

            stderrActivity = pollStderr.poll(0)
            if stderrActivity:
                c= process.stderr.read(1)
                if c:
                    stderrStrFile.write(c)
                    if self.log == 1:
                        sys.stderr.write(c)
                else:
                   stderrEOF = True
            if stdoutEOF and stderrEOF:
                break

        if self.log == 1:
            print(f"** cmnd={fullCmndStr}")

        process.wait() # type: ignore

        self.outcome.stdout = stdoutStrFile.getvalue()
        self.outcome.stderr = stderrStrFile.getvalue()
        self.outcome.error = process.returncode # type: ignore

我认为subprocess. communication方法有点误导人:它实际上填充了您在subprocess.Popen中指定的stdout和stderr。

然而，从子进程中读取。可以提供给子流程的PIPE。Popen的stdout和stderr参数最终会填满OS管道缓冲区并导致应用程序死锁(特别是当你有多个必须使用subprocess的进程/线程时)。

我建议的解决方案是提供带有文件的标准输出和标准输出-并读取文件的内容，而不是从死锁PIPE中读取。这些文件可以是tempfile.NamedTemporaryFile()——当subprocess. communication写入这些文件时，也可以访问该文件进行读取。

下面是一个示例用法:

try:
    with ProcessRunner(
        ("python", "task.py"), env=os.environ.copy(), seconds_to_wait=0.01
    ) as process_runner:
        for out in process_runner:
            print(out)
except ProcessError as e:
    print(e.error_message)
    raise

这是源代码，准备使用尽可能多的评论，因为我可以提供解释它的功能:

如果您正在使用python 2，请确保首先从pypi安装最新版本的subprocess32包。

import os
import sys
import threading
import time
import tempfile
import logging

if os.name == 'posix' and sys.version_info[0] < 3:
    # Support python 2
    import subprocess32 as subprocess
else:
    # Get latest and greatest from python 3
    import subprocess

logger = logging.getLogger(__name__)


class ProcessError(Exception):
    """Base exception for errors related to running the process"""


class ProcessTimeout(ProcessError):
    """Error that will be raised when the process execution will exceed a timeout"""


class ProcessRunner(object):
    def __init__(self, args, env=None, timeout=None, bufsize=-1, seconds_to_wait=0.25, **kwargs):
        """
        Constructor facade to subprocess.Popen that receives parameters which are more specifically required for the
        Process Runner. This is a class that should be used as a context manager - and that provides an iterator
        for reading captured output from subprocess.communicate in near realtime.

        Example usage:


        try:
            with ProcessRunner(('python', task_file_path), env=os.environ.copy(), seconds_to_wait=0.01) as process_runner:
                for out in process_runner:
                    print(out)
        except ProcessError as e:
            print(e.error_message)
            raise

        :param args: same as subprocess.Popen
        :param env: same as subprocess.Popen
        :param timeout: same as subprocess.communicate
        :param bufsize: same as subprocess.Popen
        :param seconds_to_wait: time to wait between each readline from the temporary file
        :param kwargs: same as subprocess.Popen
        """
        self._seconds_to_wait = seconds_to_wait
        self._process_has_timed_out = False
        self._timeout = timeout
        self._process_done = False
        self._std_file_handle = tempfile.NamedTemporaryFile()
        self._process = subprocess.Popen(args, env=env, bufsize=bufsize,
                                         stdout=self._std_file_handle, stderr=self._std_file_handle, **kwargs)
        self._thread = threading.Thread(target=self._run_process)
        self._thread.daemon = True

    def __enter__(self):
        self._thread.start()
        return self

    def __exit__(self, exc_type, exc_val, exc_tb):
        self._thread.join()
        self._std_file_handle.close()

    def __iter__(self):
        # read all output from stdout file that subprocess.communicate fills
        with open(self._std_file_handle.name, 'r') as stdout:
            # while process is alive, keep reading data
            while not self._process_done:
                out = stdout.readline()
                out_without_trailing_whitespaces = out.rstrip()
                if out_without_trailing_whitespaces:
                    # yield stdout data without trailing \n
                    yield out_without_trailing_whitespaces
                else:
                    # if there is nothing to read, then please wait a tiny little bit
                    time.sleep(self._seconds_to_wait)

            # this is a hack: terraform seems to write to buffer after process has finished
            out = stdout.read()
            if out:
                yield out

        if self._process_has_timed_out:
            raise ProcessTimeout('Process has timed out')

        if self._process.returncode != 0:
            raise ProcessError('Process has failed')

    def _run_process(self):
        try:
            # Start gathering information (stdout and stderr) from the opened process
            self._process.communicate(timeout=self._timeout)
            # Graceful termination of the opened process
            self._process.terminate()
        except subprocess.TimeoutExpired:
            self._process_has_timed_out = True
            # Force termination of the opened process
            self._process.kill()

        self._process_done = True

    @property
    def return_code(self):
        return self._process.returncode