下面是我的两个百分点:在我看来,这是处理外部命令时最好的做法......

这些是执行方法的回报值......

pass, stdout, stderr = execute(["ls","-la"],"/home/user/desktop")

这是执行方法......

def execute(cmdArray,workingDir):

    stdout = ''
    stderr = ''

    try:
        try:
            process = subprocess.Popen(cmdArray,cwd=workingDir, stdout=subprocess.PIPE, stderr=subprocess.PIPE, bufsize=1)
        except OSError:
            return [False, '', 'ERROR : command(' + ' '.join(cmdArray) + ') could not get executed!']

        for line in iter(process.stdout.readline, b''):

            try:
                echoLine = line.decode("utf-8")
            except:
                echoLine = str(line)

            stdout += echoLine

        for line in iter(process.stderr.readline, b''):

            try:
                echoLine = line.decode("utf-8")
            except:
                echoLine = str(line)

            stderr += echoLine

    except (KeyboardInterrupt,SystemExit) as err:
        return [False,'',str(err)]

    process.stdout.close()

    returnCode = process.wait()
    if returnCode != 0 or stderr != '':
        return [False, stdout, stderr]
    else:
        return [True, stdout, stderr]

我常常用下列函数用于外部命令,这特别适用于长时间运行过程,下面的方法在运行时将过程输出缩短,并返回输出,如果过程失败,则会产生一个例外。

结果是,如果这个过程是通过 poll() 方法完成的。

import subprocess,sys

def exec_long_running_proc(command, args):
    cmd = "{} {}".format(command, " ".join(str(arg) if ' ' not in arg else arg.replace(' ','\ ') for arg in args))
    print(cmd)
    process = subprocess.Popen(cmd, shell=True, stdout=subprocess.PIPE, stderr=subprocess.STDOUT)

    # Poll process for new output until finished
    while True:
        nextline = process.stdout.readline().decode('UTF-8')
        if nextline == '' and process.poll() is not None:
            break
        sys.stdout.write(nextline)
        sys.stdout.flush()

    output = process.communicate()[0]
    exitCode = process.returncode

    if (exitCode == 0):
        return output
    else:
        raise Exception(command, exitCode, output)

你可以这样引用它:

exec_long_running_proc(command = "hive", args=["-f", hql_path])

更新:

subprocess.run 是关于 Python 3.5 的推荐方法,如果您的代码不需要与以前的 Python 版本保持兼容性。

下面是文档的一些例子。

运行一个过程:

>>> subprocess.run(["ls", "-l"])  # Doesn't capture output
CompletedProcess(args=['ls', '-l'], returncode=0)

上一篇: 失败的跑步:

>>> subprocess.run("exit 1", shell=True, check=True)
Traceback (most recent call last):
  ...
subprocess.CalledProcessError: Command 'exit 1' returned non-zero exit status 1

捕获输出:

>>> subprocess.run(["ls", "-l", "/dev/null"], stdout=subprocess.PIPE)
CompletedProcess(args=['ls', '-l', '/dev/null'], returncode=0,
stdout=b'crw-rw-rw- 1 root root 1, 3 Jan 23 16:23 /dev/null\n')

原始答案:

我建议尝试发送,这是一个子过程的插槽,其目的是取代旧的模块和功能。

使用 README 的例子:

>>> r = envoy.run('git config', data='data to pipe in', timeout=2)

>>> r.status_code
129
>>> r.std_out
'usage: git config [options]'
>>> r.std_err
''

周围的管道也:

>>> r = envoy.run('uptime | pbcopy')

>>> r.command
'pbcopy'
>>> r.status_code
0

>>> r.history
[<Response 'uptime'>]

使用 subprocess.call:

from subprocess import call

# Using list
call(["echo", "Hello", "world"])

# Single string argument varies across platforms so better split it
call("echo Hello world".split(" "))

os.system 不允许您存储结果,所以如果您想要存储结果在某些列表或某些东西,一个 subprocess.call 工作。

我为此写了一本图书馆,shell.py。

它基本上是现在的旋转器和旋转器,它还支持旋转命令,所以你可以在Python中更容易进行连锁命令,所以你可以做这样的事情:

ex('echo hello shell.py') | "awk '{print $2}'"