基于以上所有内容，我建议使用稍微修改过的版本(python3):

while循环调用readline (iter建议的解决方案似乎永远阻塞我- Python 3, Windows 7) 结构化的，因此在轮询返回not- none后不需要重复读取数据的处理 Stderr管道到stdout，因此两个输出输出都被读取 增加了获取cmd退出值的代码。

代码:

import subprocess
proc = subprocess.Popen(cmd, shell=True, stdout=subprocess.PIPE,
                        stderr=subprocess.STDOUT, universal_newlines=True)
while True:
    rd = proc.stdout.readline()
    print(rd, end='')  # and whatever you want to do...
    if not rd:  # EOF
        returncode = proc.poll()
        if returncode is not None:
            break
        time.sleep(0.1)  # cmd closed stdout, but not exited yet

# You may want to check on ReturnCode here

除了这些答案之外，一个简单的方法也可以如下:

process = subprocess.Popen(your_command, stdout=subprocess.PIPE)

while process.stdout.readable():
    line = process.stdout.readline()

    if not line:
        break

    print(line.strip())

循环可读流，只要它是可读的，如果它得到一个空的结果，停止。

这里的关键是，readline()返回一行(结尾是\n)，只要有输出，如果确实在末尾，则返回空行。

希望这能帮助到一些人。

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()

基于以上所有内容，我建议使用稍微修改过的版本(python3):

while循环调用readline (iter建议的解决方案似乎永远阻塞我- Python 3, Windows 7) 结构化的，因此在轮询返回not- none后不需要重复读取数据的处理 Stderr管道到stdout，因此两个输出输出都被读取 增加了获取cmd退出值的代码。

代码:

import subprocess
proc = subprocess.Popen(cmd, shell=True, stdout=subprocess.PIPE,
                        stderr=subprocess.STDOUT, universal_newlines=True)
while True:
    rd = proc.stdout.readline()
    print(rd, end='')  # and whatever you want to do...
    if not rd:  # EOF
        returncode = proc.poll()
        if returncode is not None:
            break
        time.sleep(0.1)  # cmd closed stdout, but not exited yet

# You may want to check on ReturnCode here

python的解决方案对我都不起作用。 原来proc.stdout.read()或类似的可能永远阻塞。

因此，我这样使用tee:

subprocess.run('./my_long_running_binary 2>&1 | tee -a my_log_file.txt && exit ${PIPESTATUS}', shell=True, check=True, executable='/bin/bash')

如果你已经在使用shell=True，这个解决方案很方便。

${PIPESTATUS}捕获整个命令链的成功状态(仅在Bash中可用)。 如果我省略&&退出${PIPESTATUS}，那么这将总是返回零，因为tee从未失败过。

Unbuffer对于立即将每一行打印到终端可能是必要的，而不是等待太长时间，直到“管道缓冲区”被填满。 然而，unbuffer吞下了assert的退出状态(SIG Abort)…

2>&1也记录文件的标准错误。

Here is a class which I'm using in one of my projects. It redirects output of a subprocess to the log. At first I tried simply overwriting the write-method but that doesn't work as the subprocess will never call it (redirection happens on filedescriptor level). So I'm using my own pipe, similar to how it's done in the subprocess-module. This has the advantage of encapsulating all logging/printing logic in the adapter and you can simply pass instances of the logger to Popen: subprocess.Popen("/path/to/binary", stderr = LogAdapter("foo"))

class LogAdapter(threading.Thread):

    def __init__(self, logname, level = logging.INFO):
        super().__init__()
        self.log = logging.getLogger(logname)
        self.readpipe, self.writepipe = os.pipe()

        logFunctions = {
            logging.DEBUG: self.log.debug,
            logging.INFO: self.log.info,
            logging.WARN: self.log.warn,
            logging.ERROR: self.log.warn,
        }

        try:
            self.logFunction = logFunctions[level]
        except KeyError:
            self.logFunction = self.log.info

    def fileno(self):
        #when fileno is called this indicates the subprocess is about to fork => start thread
        self.start()
        return self.writepipe

    def finished(self):
       """If the write-filedescriptor is not closed this thread will
       prevent the whole program from exiting. You can use this method
       to clean up after the subprocess has terminated."""
       os.close(self.writepipe)

    def run(self):
        inputFile = os.fdopen(self.readpipe)

        while True:
            line = inputFile.readline()

            if len(line) == 0:
                #no new data was added
                break

            self.logFunction(line.strip())

如果您不需要日志记录，而只是想使用print()，显然可以删除大部分代码并使类更短。你也可以通过__enter__和__exit__方法来扩展它，并在__exit__中调用finished，这样你就可以很容易地将它用作上下文。