Capture output from subprocess.call that I have no control over

Capture output from subprocess.call that I have no control over - python

I'm testing a piece of Python code that uses subprocess.call(), so I have no control over that function call. I need to capture the output from that system call to do assertions. I tried to set os.stdout to a StringIO object, but that doesn't capture the system call outputs. How do I solve this problem? Here's my code so far:
Code to test (I have no control over this):
def runFile(filename):
check_call("./" + filename)
My attempt to capture system call output:
import StringIO
oldout = sys.stdout
try:
sys.stdout = StringIO.StringIO()
runFile("somefile")
output = sys.stdout.getvalue()
assert output == "expected-output"
finally:
sys.stdout = oldout

You could redirect your own stdout by
rd, wr = os.pipe()
oldstdout = os.dup(1)
os.dup2(wr, 1)
os.close(wr)
and then read from rd while the external process is running.
This might not work, as the external process might write more than fits in the pipe buffer. In this case, you would have to spawn a reading thread.
Afterwards, you restore the old state with
os.dup2(oldstdout, 1)
os.close(oldstdout)
os.close(rd)
and continue normally.

The subprocess module directly writes to the output stream using os.write, so changing sys.stdout won't do anything.
That's why you generally need to specify the output stream used with the subprocess module using the ...([cmd, arg, ...], stdout=output_file, ...) notation, and why you can't use a StringIO as output file as it has no fileno to write to.
So the only way to achieve what you want to do ist o monkeypatch subproces.check_call before importing the module you need to test, so that it works a little more like check_output.
For example:
import subprocess
def patched_call(*popenargs, **kwargs):
if 'stdout' in kwargs:
raise ValueError('stdout argument not allowed, it will be overridden.')
process = subprocess.Popen(*popenargs, stdout=subprocess.PIPE, **kwargs)
output, unused_err = process.communicate()
# do something with output here
retcode = process.poll()
if retcode:
cmd = kwargs.get("args")
if cmd is None:
cmd = popenargs[0]
raise CalledProcessError(retcode, cmd, output=output)
return retcode
subprocess.check_call = patched_call

Related

os.system and subprocess don't give me any output [duplicate]

I want to write a function that will execute a shell command and return its output as a string, no matter, is it an error or success message. I just want to get the same result that I would have gotten with the command line.
What would be a code example that would do such a thing?
For example:
def run_command(cmd):
# ??????
print run_command('mysqladmin create test -uroot -pmysqladmin12')
# Should output something like:
# mysqladmin: CREATE DATABASE failed; error: 'Can't create database 'test'; database exists'

In all officially maintained versions of Python, the simplest approach is to use the subprocess.check_output function:
>>> subprocess.check_output(['ls', '-l'])
b'total 0\n-rw-r--r-- 1 memyself staff 0 Mar 14 11:04 files\n'
check_output runs a single program that takes only arguments as input.1 It returns the result exactly as printed to stdout. If you need to write input to stdin, skip ahead to the run or Popen sections. If you want to execute complex shell commands, see the note on shell=True at the end of this answer.
The check_output function works in all officially maintained versions of Python. But for more recent versions, a more flexible approach is available.
Modern versions of Python (3.5 or higher): run
If you're using Python 3.5+, and do not need backwards compatibility, the new run function is recommended by the official documentation for most tasks. It provides a very general, high-level API for the subprocess module. To capture the output of a program, pass the subprocess.PIPE flag to the stdout keyword argument. Then access the stdout attribute of the returned CompletedProcess object:
>>> import subprocess
>>> result = subprocess.run(['ls', '-l'], stdout=subprocess.PIPE)
>>> result.stdout
b'total 0\n-rw-r--r-- 1 memyself staff 0 Mar 14 11:04 files\n'
The return value is a bytes object, so if you want a proper string, you'll need to decode it. Assuming the called process returns a UTF-8-encoded string:
>>> result.stdout.decode('utf-8')
'total 0\n-rw-r--r-- 1 memyself staff 0 Mar 14 11:04 files\n'
This can all be compressed to a one-liner if desired:
>>> subprocess.run(['ls', '-l'], stdout=subprocess.PIPE).stdout.decode('utf-8')
'total 0\n-rw-r--r-- 1 memyself staff 0 Mar 14 11:04 files\n'
If you want to pass input to the process's stdin, you can pass a bytes object to the input keyword argument:
>>> cmd = ['awk', 'length($0) > 5']
>>> ip = 'foo\nfoofoo\n'.encode('utf-8')
>>> result = subprocess.run(cmd, stdout=subprocess.PIPE, input=ip)
>>> result.stdout.decode('utf-8')
'foofoo\n'
You can capture errors by passing stderr=subprocess.PIPE (capture to result.stderr) or stderr=subprocess.STDOUT (capture to result.stdout along with regular output). If you want run to throw an exception when the process returns a nonzero exit code, you can pass check=True. (Or you can check the returncode attribute of result above.) When security is not a concern, you can also run more complex shell commands by passing shell=True as described at the end of this answer.
Later versions of Python streamline the above further. In Python 3.7+, the above one-liner can be spelled like this:
>>> subprocess.run(['ls', '-l'], capture_output=True, text=True).stdout
'total 0\n-rw-r--r-- 1 memyself staff 0 Mar 14 11:04 files\n'
Using run this way adds just a bit of complexity, compared to the old way of doing things. But now you can do almost anything you need to do with the run function alone.
Older versions of Python (3-3.4): more about check_output
If you are using an older version of Python, or need modest backwards compatibility, you can use the check_output function as briefly described above. It has been available since Python 2.7.
subprocess.check_output(*popenargs, **kwargs)
It takes takes the same arguments as Popen (see below), and returns a string containing the program's output. The beginning of this answer has a more detailed usage example. In Python 3.5+, check_output is equivalent to executing run with check=True and stdout=PIPE, and returning just the stdout attribute.
You can pass stderr=subprocess.STDOUT to ensure that error messages are included in the returned output. When security is not a concern, you can also run more complex shell commands by passing shell=True as described at the end of this answer.
If you need to pipe from stderr or pass input to the process, check_output won't be up to the task. See the Popen examples below in that case.
Complex applications and legacy versions of Python (2.6 and below): Popen
If you need deep backwards compatibility, or if you need more sophisticated functionality than check_output or run provide, you'll have to work directly with Popen objects, which encapsulate the low-level API for subprocesses.
The Popen constructor accepts either a single command without arguments, or a list containing a command as its first item, followed by any number of arguments, each as a separate item in the list. shlex.split can help parse strings into appropriately formatted lists. Popen objects also accept a host of different arguments for process IO management and low-level configuration.
To send input and capture output, communicate is almost always the preferred method. As in:
output = subprocess.Popen(["mycmd", "myarg"],
stdout=subprocess.PIPE).communicate()[0]
Or
>>> import subprocess
>>> p = subprocess.Popen(['ls', '-a'], stdout=subprocess.PIPE,
... stderr=subprocess.PIPE)
>>> out, err = p.communicate()
>>> print out
.
..
foo
If you set stdin=PIPE, communicate also allows you to pass data to the process via stdin:
>>> cmd = ['awk', 'length($0) > 5']
>>> p = subprocess.Popen(cmd, stdout=subprocess.PIPE,
... stderr=subprocess.PIPE,
... stdin=subprocess.PIPE)
>>> out, err = p.communicate('foo\nfoofoo\n')
>>> print out
foofoo
Note Aaron Hall's answer, which indicates that on some systems, you may need to set stdout, stderr, and stdin all to PIPE (or DEVNULL) to get communicate to work at all.
In some rare cases, you may need complex, real-time output capturing. Vartec's answer suggests a way forward, but methods other than communicate are prone to deadlocks if not used carefully.
As with all the above functions, when security is not a concern, you can run more complex shell commands by passing shell=True.
Notes
1. Running shell commands: the shell=True argument
Normally, each call to run, check_output, or the Popen constructor executes a single program. That means no fancy bash-style pipes. If you want to run complex shell commands, you can pass shell=True, which all three functions support. For example:
>>> subprocess.check_output('cat books/* | wc', shell=True, text=True)
' 1299377 17005208 101299376\n'
However, doing this raises security concerns. If you're doing anything more than light scripting, you might be better off calling each process separately, and passing the output from each as an input to the next, via
run(cmd, [stdout=etc...], input=other_output)
Or
Popen(cmd, [stdout=etc...]).communicate(other_output)
The temptation to directly connect pipes is strong; resist it. Otherwise, you'll likely see deadlocks or have to do hacky things like this.

This is way easier, but only works on Unix (including Cygwin) and Python2.7.
import commands
print commands.getstatusoutput('wc -l file')
It returns a tuple with the (return_value, output).
For a solution that works in both Python2 and Python3, use the subprocess module instead:
from subprocess import Popen, PIPE
output = Popen(["date"],stdout=PIPE)
response = output.communicate()
print response

I had the same problem but figured out a very simple way of doing this:
import subprocess
output = subprocess.getoutput("ls -l")
print(output)
Note: This solution is Python3 specific as subprocess.getoutput() doesn't work in Python2

Something like that:
def runProcess(exe):
p = subprocess.Popen(exe, stdout=subprocess.PIPE, stderr=subprocess.STDOUT)
while(True):
# returns None while subprocess is running
retcode = p.poll()
line = p.stdout.readline()
yield line
if retcode is not None:
break
Note, that I'm redirecting stderr to stdout, it might not be exactly what you want, but I want error messages also.
This function yields line by line as they come (normally you'd have to wait for subprocess to finish to get the output as a whole).
For your case the usage would be:
for line in runProcess('mysqladmin create test -uroot -pmysqladmin12'.split()):
print line,

This is a tricky but super simple solution which works in many situations:
import os
os.system('sample_cmd > tmp')
print(open('tmp', 'r').read())
A temporary file(here is tmp) is created with the output of the command and you can read from it your desired output.
Extra note from the comments:
You can remove the tmp file in the case of one-time job. If you need to do this several times, there is no need to delete the tmp.
os.remove('tmp')

Vartec's answer doesn't read all lines, so I made a version that did:
def run_command(command):
p = subprocess.Popen(command,
stdout=subprocess.PIPE,
stderr=subprocess.STDOUT)
return iter(p.stdout.readline, b'')
Usage is the same as the accepted answer:
command = 'mysqladmin create test -uroot -pmysqladmin12'.split()
for line in run_command(command):
print(line)

You can use following commands to run any shell command. I have used them on ubuntu.
import os
os.popen('your command here').read()
Note: This is deprecated since python 2.6. Now you must use subprocess.Popen. Below is the example
import subprocess
p = subprocess.Popen("Your command", shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE).communicate()[0]
print p.split("\n")

I had a slightly different flavor of the same problem with the following requirements:
Capture and return STDOUT messages as they accumulate in the STDOUT buffer (i.e. in realtime).
#vartec solved this Pythonically with his use of generators and the 'yield'
keyword above
Print all STDOUT lines (even if process exits before STDOUT buffer can be fully read)
Don't waste CPU cycles polling the process at high-frequency
Check the return code of the subprocess
Print STDERR (separate from STDOUT) if we get a non-zero error return code.
I've combined and tweaked previous answers to come up with the following:
import subprocess
from time import sleep
def run_command(command):
p = subprocess.Popen(command,
stdout=subprocess.PIPE,
stderr=subprocess.PIPE,
shell=True)
# Read stdout from subprocess until the buffer is empty !
for line in iter(p.stdout.readline, b''):
if line: # Don't print blank lines
yield line
# This ensures the process has completed, AND sets the 'returncode' attr
while p.poll() is None:
sleep(.1) #Don't waste CPU-cycles
# Empty STDERR buffer
err = p.stderr.read()
if p.returncode != 0:
# The run_command() function is responsible for logging STDERR
print("Error: " + str(err))
This code would be executed the same as previous answers:
for line in run_command(cmd):
print(line)

Your Mileage May Vary, I attempted #senderle's spin on Vartec's solution in Windows on Python 2.6.5, but I was getting errors, and no other solutions worked. My error was: WindowsError: [Error 6] The handle is invalid.
I found that I had to assign PIPE to every handle to get it to return the output I expected - the following worked for me.
import subprocess
def run_command(cmd):
"""given shell command, returns communication tuple of stdout and stderr"""
return subprocess.Popen(cmd,
stdout=subprocess.PIPE,
stderr=subprocess.PIPE,
stdin=subprocess.PIPE).communicate()
and call like this, ([0] gets the first element of the tuple, stdout):
run_command('tracert 11.1.0.1')[0]
After learning more, I believe I need these pipe arguments because I'm working on a custom system that uses different handles, so I had to directly control all the std's.
To stop console popups (with Windows), do this:
def run_command(cmd):
"""given shell command, returns communication tuple of stdout and stderr"""
# instantiate a startupinfo obj:
startupinfo = subprocess.STARTUPINFO()
# set the use show window flag, might make conditional on being in Windows:
startupinfo.dwFlags |= subprocess.STARTF_USESHOWWINDOW
# pass as the startupinfo keyword argument:
return subprocess.Popen(cmd,
stdout=subprocess.PIPE,
stderr=subprocess.PIPE,
stdin=subprocess.PIPE,
startupinfo=startupinfo).communicate()
run_command('tracert 11.1.0.1')

On Python 3.7+, use subprocess.run and pass capture_output=True:
import subprocess
result = subprocess.run(['echo', 'hello', 'world'], capture_output=True)
print(repr(result.stdout))
This will return bytes:
b'hello world\n'
If you want it to convert the bytes to a string, add text=True:
result = subprocess.run(['echo', 'hello', 'world'], capture_output=True, text=True)
print(repr(result.stdout))
This will read the bytes using your default encoding:
'hello world\n'
If you need to manually specify a different encoding, use encoding="your encoding" instead of text=True:
result = subprocess.run(['echo', 'hello', 'world'], capture_output=True, encoding="utf8")
print(repr(result.stdout))

Splitting the initial command for the subprocess might be tricky and cumbersome.
Use shlex.split() to help yourself out.
Sample command
git log -n 5 --since "5 years ago" --until "2 year ago"
The code
from subprocess import check_output
from shlex import split
res = check_output(split('git log -n 5 --since "5 years ago" --until "2 year ago"'))
print(res)
>>> b'commit 7696ab087a163e084d6870bb4e5e4d4198bdc61a\nAuthor: Artur Barseghyan...'
Without shlex.split() the code would look as follows
res = check_output([
'git',
'log',
'-n',
'5',
'--since',
'5 years ago',
'--until',
'2 year ago'
])
print(res)
>>> b'commit 7696ab087a163e084d6870bb4e5e4d4198bdc61a\nAuthor: Artur Barseghyan...'

Here a solution, working if you want to print output while process is running or not.
I added the current working directory also, it was useful to me more than once.
Hoping the solution will help someone :).
import subprocess
def run_command(cmd_and_args, print_constantly=False, cwd=None):
"""Runs a system command.
:param cmd_and_args: the command to run with or without a Pipe (|).
:param print_constantly: If True then the output is logged in continuous until the command ended.
:param cwd: the current working directory (the directory from which you will like to execute the command)
:return: - a tuple containing the return code, the stdout and the stderr of the command
"""
output = []
process = subprocess.Popen(cmd_and_args, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE, cwd=cwd)
while True:
next_line = process.stdout.readline()
if next_line:
output.append(str(next_line))
if print_constantly:
print(next_line)
elif not process.poll():
break
error = process.communicate()[1]
return process.returncode, '\n'.join(output), error

For some reason, this one works on Python 2.7 and you only need to import os!
import os
def bash(command):
output = os.popen(command).read()
return output
print_me = bash('ls -l')
print(print_me)

If you need to run a shell command on multiple files, this did the trick for me.
import os
import subprocess
# Define a function for running commands and capturing stdout line by line
# (Modified from Vartec's solution because it wasn't printing all lines)
def runProcess(exe):
p = subprocess.Popen(exe, stdout=subprocess.PIPE, stderr=subprocess.STDOUT)
return iter(p.stdout.readline, b'')
# Get all filenames in working directory
for filename in os.listdir('./'):
# This command will be run on each file
cmd = 'nm ' + filename
# Run the command and capture the output line by line.
for line in runProcess(cmd.split()):
# Eliminate leading and trailing whitespace
line.strip()
# Split the output
output = line.split()
# Filter the output and print relevant lines
if len(output) > 2:
if ((output[2] == 'set_program_name')):
print filename
print line
Edit: Just saw Max Persson's solution with J.F. Sebastian's suggestion. Went ahead and incorporated that.

According to #senderle, if you use python3.6 like me:
def sh(cmd, input=""):
rst = subprocess.run(cmd, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE, input=input.encode("utf-8"))
assert rst.returncode == 0, rst.stderr.decode("utf-8")
return rst.stdout.decode("utf-8")
sh("ls -a")
Will act exactly like you run the command in bash

Improvement for better logging.
For better output you can use iterator.
From below, we get better
from subprocess import Popen, getstatusoutput, PIPE
def shell_command(cmd):
result = Popen(cmd, shell=True, stdout=PIPE, stderr=PIPE)
output = iter(result.stdout.readline, b'')
error = iter(result.stderr.readline, b'')
print("##### OutPut ###")
for line in output:
print(line.decode("utf-8"))
print("###### Error ########")
for line in error:
print(error.decode("utf-8")) # Convert bytes to str
status, terminal_output = run_command(cmd)
print(terminal_output)
shell_command("ls") # this will display all the files & folders in directory
Other method using getstatusoutput ( Easy to understand)
from subprocess import Popen, getstatusoutput, PIPE
status_Code, output = getstausoutput(command)
print(output) # this will give the terminal output
# status_code, output = getstatusoutput("ls") # this will print the all files & folder available in the directory

If you use the subprocess python module, you are able to handle the STDOUT, STDERR and return code of command separately. You can see an example for the complete command caller implementation. Of course you can extend it with try..except if you want.
The below function returns the STDOUT, STDERR and Return code so you can handle them in the other script.
import subprocess
def command_caller(command=None)
sp = subprocess.Popen(command, stderr=subprocess.PIPE, stdout=subprocess.PIPE, shell=False)
out, err = sp.communicate()
if sp.returncode:
print(
"Return code: %(ret_code)s Error message: %(err_msg)s"
% {"ret_code": sp.returncode, "err_msg": err}
)
return sp.returncode, out, err

I would like to suggest simppl as an option for consideration. It is a module that is available via pypi: pip install simppl and was runs on python3.
simppl allows the user to run shell commands and read the output from the screen.
The developers suggest three types of use cases:
The simplest usage will look like this:
from simppl.simple_pipeline import SimplePipeline
sp = SimplePipeline(start=0, end=100):
sp.print_and_run('<YOUR_FIRST_OS_COMMAND>')
sp.print_and_run('<YOUR_SECOND_OS_COMMAND>') ```
To run multiple commands concurrently use:
commands = ['<YOUR_FIRST_OS_COMMAND>', '<YOUR_SECOND_OS_COMMAND>']
max_number_of_processes = 4
sp.run_parallel(commands, max_number_of_processes) ```
Finally, if your project uses the cli module, you can run directly another command_line_tool as part of a pipeline. The other tool will
be run from the same process, but it will appear from the logs as
another command in the pipeline. This enables smoother debugging and
refactoring of tools calling other tools.
from example_module import example_tool
sp.print_and_run_clt(example_tool.run, ['first_number', 'second_nmber'],
{'-key1': 'val1', '-key2': 'val2'},
{'--flag'}) ```
Note that the printing to STDOUT/STDERR is via python's logging module.
Here is a complete code to show how simppl works:
import logging
from logging.config import dictConfig
logging_config = dict(
version = 1,
formatters = {
'f': {'format':
'%(asctime)s %(name)-12s %(levelname)-8s %(message)s'}
},
handlers = {
'h': {'class': 'logging.StreamHandler',
'formatter': 'f',
'level': logging.DEBUG}
},
root = {
'handlers': ['h'],
'level': logging.DEBUG,
},
)
dictConfig(logging_config)
from simppl.simple_pipeline import SimplePipeline
sp = SimplePipeline(0, 100)
sp.print_and_run('ls')

Here is a simple and flexible solution that works on a variety of OS versions, and both Python 2 and 3, using IPython in shell mode:
from IPython.terminal.embed import InteractiveShellEmbed
my_shell = InteractiveShellEmbed()
result = my_shell.getoutput("echo hello world")
print(result)
Out: ['hello world']
It has a couple of advantages
It only requires an IPython install, so you don't really need to worry about your specific Python or OS version when using it, it comes with Jupyter - which has a wide range of support
It takes a simple string by default - so no need to use shell mode arg or string splitting, making it slightly cleaner IMO
It also makes it cleaner to easily substitute variables or even entire Python commands in the string itself
To demonstrate:
var = "hello world "
result = my_shell.getoutput("echo {var*2}")
print(result)
Out: ['hello world hello world']
Just wanted to give you an extra option, especially if you already have Jupyter installed
Naturally, if you are in an actual Jupyter notebook as opposed to a .py script you can also always do:
result = !echo hello world
print(result)
To accomplish the same.

The output can be redirected to a text file and then read it back.
import subprocess
import os
import tempfile
def execute_to_file(command):
"""
This function execute the command
and pass its output to a tempfile then read it back
It is usefull for process that deploy child process
"""
temp_file = tempfile.NamedTemporaryFile(delete=False)
temp_file.close()
path = temp_file.name
command = command + " > " + path
proc = subprocess.run(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE, universal_newlines=True)
if proc.stderr:
# if command failed return
os.unlink(path)
return
with open(path, 'r') as f:
data = f.read()
os.unlink(path)
return data
if __name__ == "__main__":
path = "Somepath"
command = 'ecls.exe /files ' + path
print(execute(command))

eg, execute('ls -ahl')
differentiated three/four possible returns and OS platforms:
no output, but run successfully
output empty line, run successfully
run failed
output something, run successfully
function below
def execute(cmd, output=True, DEBUG_MODE=False):
"""Executes a bash command.
(cmd, output=True)
output: whether print shell output to screen, only affects screen display, does not affect returned values
return: ...regardless of output=True/False...
returns shell output as a list with each elment is a line of string (whitespace stripped both sides) from output
could be
[], ie, len()=0 --> no output;
[''] --> output empty line;
None --> error occured, see below
if error ocurs, returns None (ie, is None), print out the error message to screen
"""
if not DEBUG_MODE:
print "Command: " + cmd
# https://stackoverflow.com/a/40139101/2292993
def _execute_cmd(cmd):
if os.name == 'nt' or platform.system() == 'Windows':
# set stdin, out, err all to PIPE to get results (other than None) after run the Popen() instance
p = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE, shell=True)
else:
# Use bash; the default is sh
p = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE, shell=True, executable="/bin/bash")
# the Popen() instance starts running once instantiated (??)
# additionally, communicate(), or poll() and wait process to terminate
# communicate() accepts optional input as stdin to the pipe (requires setting stdin=subprocess.PIPE above), return out, err as tuple
# if communicate(), the results are buffered in memory
# Read stdout from subprocess until the buffer is empty !
# if error occurs, the stdout is '', which means the below loop is essentially skipped
# A prefix of 'b' or 'B' is ignored in Python 2;
# it indicates that the literal should become a bytes literal in Python 3
# (e.g. when code is automatically converted with 2to3).
# return iter(p.stdout.readline, b'')
for line in iter(p.stdout.readline, b''):
# # Windows has \r\n, Unix has \n, Old mac has \r
# if line not in ['','\n','\r','\r\n']: # Don't print blank lines
yield line
while p.poll() is None:
sleep(.1) #Don't waste CPU-cycles
# Empty STDERR buffer
err = p.stderr.read()
if p.returncode != 0:
# responsible for logging STDERR
print("Error: " + str(err))
yield None
out = []
for line in _execute_cmd(cmd):
# error did not occur earlier
if line is not None:
# trailing comma to avoid a newline (by print itself) being printed
if output: print line,
out.append(line.strip())
else:
# error occured earlier
out = None
return out
else:
print "Simulation! The command is " + cmd
print ""

python subprocess.Popen output during execution [duplicate]

I'm using a python script as a driver for a hydrodynamics code. When it comes time to run the simulation, I use subprocess.Popen to run the code, collect the output from stdout and stderr into a subprocess.PIPE --- then I can print (and save to a log-file) the output information, and check for any errors. The problem is, I have no idea how the code is progressing. If I run it directly from the command line, it gives me output about what iteration its at, what time, what the next time-step is, etc.
Is there a way to both store the output (for logging and error checking), and also produce a live-streaming output?
The relevant section of my code:
ret_val = subprocess.Popen( run_command, stdout=subprocess.PIPE, stderr=subprocess.PIPE, shell=True )
output, errors = ret_val.communicate()
log_file.write(output)
print output
if( ret_val.returncode ):
print "RUN failed\n\n%s\n\n" % (errors)
success = False
if( errors ): log_file.write("\n\n%s\n\n" % errors)
Originally I was piping the run_command through tee so that a copy went directly to the log-file, and the stream still output directly to the terminal -- but that way I can't store any errors (to my knowlege).
My temporary solution so far:
ret_val = subprocess.Popen( run_command, stdout=log_file, stderr=subprocess.PIPE, shell=True )
while not ret_val.poll():
log_file.flush()
then, in another terminal, run tail -f log.txt (s.t. log_file = 'log.txt').

TLDR for Python 3:
import subprocess
import sys
with open("test.log", "wb") as f:
process = subprocess.Popen(your_command, stdout=subprocess.PIPE)
for c in iter(lambda: process.stdout.read(1), b""):
sys.stdout.buffer.write(c)
f.buffer.write(c)
You have two ways of doing this, either by creating an iterator from the read or readline functions and do:
import subprocess
import sys
# replace "w" with "wb" for Python 3
with open("test.log", "w") as f:
process = subprocess.Popen(your_command, stdout=subprocess.PIPE)
# replace "" with b'' for Python 3
for c in iter(lambda: process.stdout.read(1), ""):
sys.stdout.write(c)
f.write(c)
or
import subprocess
import sys
# replace "w" with "wb" for Python 3
with open("test.log", "w") as f:
process = subprocess.Popen(your_command, stdout=subprocess.PIPE)
# replace "" with b"" for Python 3
for line in iter(process.stdout.readline, ""):
sys.stdout.write(line)
f.write(line)
Or you can create a reader and a writer file. Pass the writer to the Popen and read from the reader
import io
import time
import subprocess
import sys
filename = "test.log"
with io.open(filename, "wb") as writer, io.open(filename, "rb", 1) as reader:
process = subprocess.Popen(command, stdout=writer)
while process.poll() is None:
sys.stdout.write(reader.read())
time.sleep(0.5)
# Read the remaining
sys.stdout.write(reader.read())
This way you will have the data written in the test.log as well as on the standard output.
The only advantage of the file approach is that your code doesn't block. So you can do whatever you want in the meantime and read whenever you want from the reader in a non-blocking way. When you use PIPE, read and readline functions will block until either one character is written to the pipe or a line is written to the pipe respectively.

Executive Summary (or "tl;dr" version): it's easy when there's at most one subprocess.PIPE, otherwise it's hard.
It may be time to explain a bit about how subprocess.Popen does its thing.
(Caveat: this is for Python 2.x, although 3.x is similar; and I'm quite fuzzy on the Windows variant. I understand the POSIX stuff much better.)
The Popen function needs to deal with zero-to-three I/O streams, somewhat simultaneously. These are denoted stdin, stdout, and stderr as usual.
You can provide:
None, indicating that you don't want to redirect the stream. It will inherit these as usual instead. Note that on POSIX systems, at least, this does not mean it will use Python's sys.stdout, just Python's actual stdout; see demo at end.
An int value. This is a "raw" file descriptor (in POSIX at least). (Side note: PIPE and STDOUT are actually ints internally, but are "impossible" descriptors, -1 and -2.)
A stream—really, any object with a fileno method. Popen will find the descriptor for that stream, using stream.fileno(), and then proceed as for an int value.
subprocess.PIPE, indicating that Python should create a pipe.
subprocess.STDOUT (for stderr only): tell Python to use the same descriptor as for stdout. This only makes sense if you provided a (non-None) value for stdout, and even then, it is only needed if you set stdout=subprocess.PIPE. (Otherwise you can just provide the same argument you provided for stdout, e.g., Popen(..., stdout=stream, stderr=stream).)
The easiest cases (no pipes)
If you redirect nothing (leave all three as the default None value or supply explicit None), Pipe has it quite easy. It just needs to spin off the subprocess and let it run. Or, if you redirect to a non-PIPE—an int or a stream's fileno()—it's still easy, as the OS does all the work. Python just needs to spin off the subprocess, connecting its stdin, stdout, and/or stderr to the provided file descriptors.
The still-easy case: one pipe
If you redirect only one stream, Pipe still has things pretty easy. Let's pick one stream at a time and watch.
Suppose you want to supply some stdin, but let stdout and stderr go un-redirected, or go to a file descriptor. As the parent process, your Python program simply needs to use write() to send data down the pipe. You can do this yourself, e.g.:
proc = subprocess.Popen(cmd, stdin=subprocess.PIPE)
proc.stdin.write('here, have some data\n') # etc
or you can pass the stdin data to proc.communicate(), which then does the stdin.write shown above. There is no output coming back so communicate() has only one other real job: it also closes the pipe for you. (If you don't call proc.communicate() you must call proc.stdin.close() to close the pipe, so that the subprocess knows there is no more data coming through.)
Suppose you want to capture stdout but leave stdin and stderr alone. Again, it's easy: just call proc.stdout.read() (or equivalent) until there is no more output. Since proc.stdout() is a normal Python I/O stream you can use all the normal constructs on it, like:
for line in proc.stdout:
or, again, you can use proc.communicate(), which simply does the read() for you.
If you want to capture only stderr, it works the same as with stdout.
There's one more trick before things get hard. Suppose you want to capture stdout, and also capture stderr but on the same pipe as stdout:
proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT)
In this case, subprocess "cheats"! Well, it has to do this, so it's not really cheating: it starts the subprocess with both its stdout and its stderr directed into the (single) pipe-descriptor that feeds back to its parent (Python) process. On the parent side, there's again only a single pipe-descriptor for reading the output. All the "stderr" output shows up in proc.stdout, and if you call proc.communicate(), the stderr result (second value in the tuple) will be None, not a string.
The hard cases: two or more pipes
The problems all come about when you want to use at least two pipes. In fact, the subprocess code itself has this bit:
def communicate(self, input=None):
...
# Optimization: If we are only using one pipe, or no pipe at
# all, using select() or threads is unnecessary.
if [self.stdin, self.stdout, self.stderr].count(None) >= 2:
But, alas, here we've made at least two, and maybe three, different pipes, so the count(None) returns either 1 or 0. We must do things the hard way.
On Windows, this uses threading.Thread to accumulate results for self.stdout and self.stderr, and has the parent thread deliver self.stdin input data (and then close the pipe).
On POSIX, this uses poll if available, otherwise select, to accumulate output and deliver stdin input. All this runs in the (single) parent process/thread.
Threads or poll/select are needed here to avoid deadlock. Suppose, for instance, that we've redirected all three streams to three separate pipes. Suppose further that there's a small limit on how much data can be stuffed into to a pipe before the writing process is suspended, waiting for the reading process to "clean out" the pipe from the other end. Let's set that small limit to a single byte, just for illustration. (This is in fact how things work, except that the limit is much bigger than one byte.)
If the parent (Python) process tries to write several bytes—say, 'go\n'to proc.stdin, the first byte goes in and then the second causes the Python process to suspend, waiting for the subprocess to read the first byte, emptying the pipe.
Meanwhile, suppose the subprocess decides to print a friendly "Hello! Don't Panic!" greeting. The H goes into its stdout pipe, but the e causes it to suspend, waiting for its parent to read that H, emptying the stdout pipe.
Now we're stuck: the Python process is asleep, waiting to finish saying "go", and the subprocess is also asleep, waiting to finish saying "Hello! Don't Panic!".
The subprocess.Popen code avoids this problem with threading-or-select/poll. When bytes can go over the pipes, they go. When they can't, only a thread (not the whole process) has to sleep—or, in the case of select/poll, the Python process waits simultaneously for "can write" or "data available", writes to the process's stdin only when there is room, and reads its stdout and/or stderr only when data are ready. The proc.communicate() code (actually _communicate where the hairy cases are handled) returns once all stdin data (if any) have been sent and all stdout and/or stderr data have been accumulated.
If you want to read both stdout and stderr on two different pipes (regardless of any stdin redirection), you will need to avoid deadlock too. The deadlock scenario here is different—it occurs when the subprocess writes something long to stderr while you're pulling data from stdout, or vice versa—but it's still there.
The Demo
I promised to demonstrate that, un-redirected, Python subprocesses write to the underlying stdout, not sys.stdout. So, here is some code:
from cStringIO import StringIO
import os
import subprocess
import sys
def show1():
print 'start show1'
save = sys.stdout
sys.stdout = StringIO()
print 'sys.stdout being buffered'
proc = subprocess.Popen(['echo', 'hello'])
proc.wait()
in_stdout = sys.stdout.getvalue()
sys.stdout = save
print 'in buffer:', in_stdout
def show2():
print 'start show2'
save = sys.stdout
sys.stdout = open(os.devnull, 'w')
print 'after redirect sys.stdout'
proc = subprocess.Popen(['echo', 'hello'])
proc.wait()
sys.stdout = save
show1()
show2()
When run:
$ python out.py
start show1
hello
in buffer: sys.stdout being buffered
start show2
hello
Note that the first routine will fail if you add stdout=sys.stdout, as a StringIO object has no fileno. The second will omit the hello if you add stdout=sys.stdout since sys.stdout has been redirected to os.devnull.
(If you redirect Python's file-descriptor-1, the subprocess will follow that redirection. The open(os.devnull, 'w') call produces a stream whose fileno() is greater than 2.)

We can also use the default file iterator for reading stdout instead of using iter construct with readline().
import subprocess
import sys
process = subprocess.Popen(
your_command, stdout=subprocess.PIPE, stderr=subprocess.STDOUT
)
for line in process.stdout:
sys.stdout.write(line)

In addition to all these answer, one simple approach could also be as follows:
process = subprocess.Popen(your_command, stdout=subprocess.PIPE)
while process.stdout.readable():
line = process.stdout.readline()
if not line:
break
print(line.strip())
Loop through the readable stream as long as it's readable and if it gets an empty result, stop.
The key here is that readline() returns a line (with \n at the end) as long as there's an output and empty if it's really at the end.
Hope this helps someone.

If you're able to use third-party libraries, You might be able to use something like sarge (disclosure: I'm its maintainer). This library allows non-blocking access to output streams from subprocesses - it's layered over the subprocess module.

If all you need is that the output will be visible on the console the easiest solution for me was to pass the following arguments to Popen
with Popen(cmd, stdout=sys.stdout, stderr=sys.stderr) as proc:
which will use your python scripts stdio file handles

Solution 1: Log stdout AND stderr concurrently in realtime
A simple solution which logs both stdout AND stderr concurrently, line-by-line in realtime into a log file.
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()
Solution 2: A function read_popen_pipes() that allows you to iterate over both pipes (stdout/stderr), concurrently in realtime
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()

Similar to previous answers but the following solution worked for me on windows using Python3 to provide a common method to print and log in realtime (source)
def print_and_log(command, logFile):
with open(logFile, 'wb') as f:
command = subprocess.Popen(command, stdout=subprocess.PIPE, shell=True)
while True:
output = command.stdout.readline()
if not output and command.poll() is not None:
f.close()
break
if output:
f.write(output)
print(str(output.strip(), 'utf-8'), flush=True)
return command.poll()

A good but "heavyweight" solution is to use Twisted - see the bottom.
If you're willing to live with only stdout something along those lines should work:
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
(If you use read() it tries to read the entire "file" which isn't useful, what we really could use here is something that reads all the data that's in the pipe right now)
One might also try to approach this with threading, e.g.:
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
Now we could potentially add stderr as well by having two threads.
Note however the subprocess docs discourage using these files directly and recommends to use communicate() (mostly concerned with deadlocks which I think isn't an issue above) and the solutions are a little klunky so it really seems like the subprocess module isn't quite up to the job (also see: http://www.python.org/dev/peps/pep-3145/ ) and we need to look at something else.
A more involved solution is to use Twisted as shown here: https://twistedmatrix.com/documents/11.1.0/core/howto/process.html
The way you do this with Twisted is to create your process using reactor.spawnprocess() and providing a ProcessProtocol that then processes output asynchronously. The Twisted sample Python code is here: https://twistedmatrix.com/documents/11.1.0/core/howto/listings/process/process.py

Based on all the above I suggest a slightly modified version (python3):
while loop calling readline (The iter solution suggested seemed to block forever for me - Python 3, Windows 7)
structered so handling of read data does not need to be duplicated after poll returns not-None
stderr piped into stdout so both output outputs are read
Added code to get exit value of cmd.
Code:
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

I found a simple solution to a much complicated problem.
Both stdout and stderr need to be streamed.
Both of them need to be non-blocking: when there is no output and when there are too much output.
Do not want to use Threading or multiprocessing, also not willing to use pexpect.
This solution uses a gist I found here
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

It looks like line-buffered output will work for you, in which case something like the following might suit. (Caveat: it's untested.) This will only give the subprocess's stdout in real time. If you want to have both stderr and stdout in real time, you'll have to do something more complex with select.
proc = subprocess.Popen(run_command, stdout=subprocess.PIPE, stderr=subprocess.PIPE, shell=True)
while proc.poll() is None:
line = proc.stdout.readline()
print line
log_file.write(line + '\n')
# Might still be data on stdout at this point. Grab any
# remainder.
for line in proc.stdout.read().split('\n'):
print line
log_file.write(line + '\n')
# Do whatever you want with proc.stderr here...

Why not set stdout directly to sys.stdout? And if you need to output to a log as well, then you can simply override the write method of f.
import sys
import subprocess
class SuperFile(open.__class__):
def write(self, data):
sys.stdout.write(data)
super(SuperFile, self).write(data)
f = SuperFile("log.txt","w+")
process = subprocess.Popen(command, stdout=f, stderr=f)

All of the above solutions I tried failed either to separate stderr and stdout output, (multiple pipes) or blocked forever when the OS pipe buffer was full which happens when the command you are running outputs too fast (there is a warning for this on python poll() manual of subprocess). The only reliable way I found was through select, but this is a posix-only solution:
import subprocess
import sys
import os
import select
# returns command exit status, stdout text, stderr text
# rtoutput: show realtime output while running
def run_script(cmd,rtoutput=0):
p = subprocess.Popen(cmd, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
poller = select.poll()
poller.register(p.stdout, select.POLLIN)
poller.register(p.stderr, select.POLLIN)
coutput=''
cerror=''
fdhup={}
fdhup[p.stdout.fileno()]=0
fdhup[p.stderr.fileno()]=0
while sum(fdhup.values()) < len(fdhup):
try:
r = poller.poll(1)
except select.error, err:
if err.args[0] != EINTR:
raise
r=[]
for fd, flags in r:
if flags & (select.POLLIN | select.POLLPRI):
c = os.read(fd, 1024)
if rtoutput:
sys.stdout.write(c)
sys.stdout.flush()
if fd == p.stderr.fileno():
cerror+=c
else:
coutput+=c
else:
fdhup[fd]=1
return p.poll(), coutput.strip(), cerror.strip()

None of the Pythonic solutions worked for me.
It turned out that proc.stdout.read() or similar may block forever.
Therefore, I use tee like this:
subprocess.run('./my_long_running_binary 2>&1 | tee -a my_log_file.txt && exit ${PIPESTATUS}', shell=True, check=True, executable='/bin/bash')
This solution is convenient if you are already using shell=True.
${PIPESTATUS} captures the success status of the entire command chain (only available in Bash).
If I omitted the && exit ${PIPESTATUS}, then this would always return zero since tee never fails.
unbuffer might be necessary for printing each line immediately into the terminal, instead of waiting way too long until the "pipe buffer" gets filled.
However, unbuffer swallows the exit status of assert (SIG Abort)...
2>&1 also logs stderror to the file.

I think that the subprocess.communicate method is a bit misleading: it actually fills the stdout and stderr that you specify in the subprocess.Popen.
Yet, reading from the subprocess.PIPE that you can provide to the subprocess.Popen's stdout and stderr parameters will eventually fill up OS pipe buffers and deadlock your app (especially if you've multiple processes/threads that must use subprocess).
My proposed solution is to provide the stdout and stderr with files - and read the files' content instead of reading from the deadlocking PIPE. These files can be tempfile.NamedTemporaryFile() - which can also be accessed for reading while they're being written into by subprocess.communicate.
Below is a sample usage:
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
And this is the source code which is ready to be used with as many comments as I could provide to explain what it does:
If you're using python 2, please make sure to first install the latest version of the subprocess32 package from pypi.
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

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())
If you don't need logging but simply want to use print() you can obviously remove large portions of the code and keep the class shorter. You could also expand it by an __enter__ and __exit__ method and call finished in __exit__ so that you could easily use it as context.

import os
def execute(cmd, callback):
for line in iter(os.popen(cmd).readline, ''):
callback(line[:-1])
execute('ls -a', print)

Had the same problem and worked out a simple and clean solution using process.sdtout.read1() which works perfectly for my needs in python3.
Here is a demo using the ping command (requires internet connection):
from subprocess import Popen, PIPE
cmd = "ping 8.8.8.8"
proc = Popen([cmd], shell=True, stdout=PIPE)
while True:
print(proc.stdout.read1())
Every second or so a new line is printed in the python console as the ping command reports its data in real time.

In my view "live output from subprocess command" means that both stdout and stderr should be live. And stdin should also be delivered to the subprocess.
The fragment below produces live output on stdout and stderr and also captures them as bytes in outcome.{stdout,stderr}.
The trick involves proper use of select and poll.
Works well for me on Python 3.9.
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

The only way i've found how to read a subprocess' output in a streaming fashion (while also capturing it in a variable) in Python (for multiple output streams, i.e. both stdout and stderr) is by passing the subprocess a named temporary file to write to and then opening the same temporary file in a separate reading handle.
Note: this is for Python 3
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()
However, if you don't need to capture the output, then you can simply pass sys.stdout and sys.stderr streams from your Python script to the called subprocess, as xaav suggested in his answer :
subprocess.Popen(["command"], stdout=sys.stdout, stderr=sys.stderr)

Python Subprocess Finishes, but Output File Not Available

My python code is using a subprocess to call "ifconfig" through the shell and uses ">" to write the output to a text file. When the subprocess finishes, and returns success, I read the output file. I do this at fixed intervals to monitor the network status, but occasionally I'm unable to open the output file. I was just reading that Popen has optional arguments for stdout and stderr, which may be safer/better supported, but I'm curious to why my current version fails. My code is below. There are a few objects and macros from my library included without explanation, but I think the code is still clear enough for this question.
Why does opening the output file occasionally fail? Is it possible the file is not ready when the subprocess returns? What would be a way to guarantee it's ready to open?
# Build command line expression.
expr = 'ifconfig' + ' >' + outputFile + ' 2>&1'
try:
# Execute command line expression.
p = subprocess.Popen(expr, shell=True)
except:
Error("Unable to open subprocess.")
if(p is None):
Error("Unable to create subprocess.")
# Wait until command line expression has been executed.
wait = Wait.Wait(Constants.MIN_TIME_TO_QUERY_NETWORK_INFO, Constants.MAX_TIME_TO_QUERY_NETWORK_INFO)
#Execute command then wait for timeout.
if (wait.StopUntilCondition(operator.ne, (p.poll,), None, True)):
p.kill()
Error("Get subnet mask subprocess timed out.")
if(not p.poll() == 0):
Error("Failed to get network information from operating system.")
Warning("About to read output file from get subnet mask...")
# Read temporary output file.
f = open(outputFile, "r")
networkInfo = f.read()
f.close()

To avoid the corrupted/missing output, you should call p.wait() before trying to read the file. You don't need to use a file in this case:
from subprocess import check_output, STDOUT
network_info = check_output('ifconfig', stderr=STDOUT)
If you want to interrupt ifconfig before it is done and read its output; see Stop reading process output in Python without hang?

It is probably easier to just use subprocess.Popen() and write that output to a file yourself. Note that if you want to capture both stdout and stderr you cannot use subprocess.check_output
try:
p = subprocess.Popen(['ifconfig'], stdout=subprocess.PIPE, stderr=subprocess.PIPE)
outdata, errdata = p.communicate()
except Exception as e:
print "An error occurred:", e
with open(outputFile, 'w') as outf:
outf.write(outdata)
With this you don't have to wait; communicate won't return before the process is finished.
If you just want to capture stdout, use subprocess.check_output instead;
try:
outdata = subprocess.check_output(['ifconfig'])
except Exception as e:
print "An error occurred:", e
with open(outputFile, 'w') as outf:
outf.write(outdata)

Merging a Python script's subprocess' stdout and stderr while keeping them distinguishable

I would like to direct a python script's subprocess' stdout and stdin into the same file. What I don't know is how to make the lines from the two sources distinguishable? (For example prefix the lines from stderr with an exclamation mark.)
In my particular case there is no need for live monitoring of the subprocess, the executing Python script can wait for the end of its execution.

tsk = subprocess.Popen(args,stdout=subprocess.PIPE,stderr=subprocess.STDOUT)
subprocess.STDOUT is a special flag that tells subprocess to route all stderr output to stdout, thus combining your two streams.
btw, select doesn't have a poll() in windows. subprocess only uses the file handle number, and doesn't call your file output object's write method.
to capture the output, do something like:
logfile = open(logfilename, 'w')
while tsk.poll() is None:
line = tsk.stdout.readline()
logfile.write(line)

I found myself having to tackle this problem recently, and it took a while to get something I felt worked correctly in most cases, so here it is! (It also has the nice side effect of processing the output via a python logger, which I've noticed is another common question here on Stackoverflow).
Here is the code:
import sys
import logging
import subprocess
from threading import Thread
logging.basicConfig(stream=sys.stdout,level=logging.INFO)
logging.addLevelName(logging.INFO+2,'STDERR')
logging.addLevelName(logging.INFO+1,'STDOUT')
logger = logging.getLogger('root')
pobj = subprocess.Popen(['python','-c','print 42;bargle'],
stdout=subprocess.PIPE, stderr=subprocess.PIPE)
def logstream(stream,loggercb):
while True:
out = stream.readline()
if out:
loggercb(out.rstrip())
else:
break
stdout_thread = Thread(target=logstream,
args=(pobj.stdout,lambda s: logger.log(logging.INFO+1,s)))
stderr_thread = Thread(target=logstream,
args=(pobj.stderr,lambda s: logger.log(logging.INFO+2,s)))
stdout_thread.start()
stderr_thread.start()
while stdout_thread.isAlive() and stderr_thread.isAlive():
pass
Here is the output:
STDOUT:root:42
STDERR:root:Traceback (most recent call last):
STDERR:root: File "<string>", line 1, in <module>
STDERR:root:NameError: name 'bargle' is not defined
You can replace the subprocess call to do whatever you want, I just chose running python with a command that I knew would print to both stdout and stderr. The key bit is reading stderr and stdout each in a separate thread. Otherwise you may be blocking on reading one while there is data ready to be read on the other.

If you want to interleave to get roughly the same order that you would if you ran the process interactively then you need to do what the shell does and poll stdin/stdout and write in the order that they poll.
Here's some code that does something along the lines of what you want - in this case sending the stdout/stderr to a logger info/error streams.
tsk = subprocess.Popen(args,stdout=subprocess.PIPE,stderr=subprocess.PIPE)
poll = select.poll()
poll.register(tsk.stdout,select.POLLIN | select.POLLHUP)
poll.register(tsk.stderr,select.POLLIN | select.POLLHUP)
pollc = 2
events = poll.poll()
while pollc > 0 and len(events) > 0:
for event in events:
(rfd,event) = event
if event & select.POLLIN:
if rfd == tsk.stdout.fileno():
line = tsk.stdout.readline()
if len(line) > 0:
logger.info(line[:-1])
if rfd == tsk.stderr.fileno():
line = tsk.stderr.readline()
if len(line) > 0:
logger.error(line[:-1])
if event & select.POLLHUP:
poll.unregister(rfd)
pollc = pollc - 1
if pollc > 0: events = poll.poll()
tsk.wait()

At the moment all other answers don't handle buffering on the child subprocess' side if the subprocess is not a Python script that accepts -u flag. See "Q: Why not just use a pipe (popen())?" in the pexpect documentation.
To simulate -u flag for some of C stdio-based (FILE*) programs you could try stdbuf.
If you ignore this then your output won't be properly interleaved and might look like:
stderr
stderr
...large block of stdout including parts that are printed before stderr...
You could try it with the following client program, notice the difference with/without -u flag (['stdbuf', '-o', 'L', 'child_program'] also fixes the output):
#!/usr/bin/env python
from __future__ import print_function
import random
import sys
import time
from datetime import datetime
def tprint(msg, file=sys.stdout):
time.sleep(.1*random.random())
print("%s %s" % (datetime.utcnow().strftime('%S.%f'), msg), file=file)
tprint("stdout1 before stderr")
tprint("stdout2 before stderr")
for x in range(5):
tprint('stderr%d' % x, file=sys.stderr)
tprint("stdout3 after stderr")
On Linux you could use pty to get the same behavior as when the subprocess runs interactively e.g., here's a modified #T.Rojan's answer:
import logging, os, select, subprocess, sys, pty
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)
master_fd, slave_fd = pty.openpty()
p = subprocess.Popen(args,stdout=slave_fd, stderr=subprocess.PIPE, close_fds=True)
with os.fdopen(master_fd) as stdout:
poll = select.poll()
poll.register(stdout, select.POLLIN)
poll.register(p.stderr,select.POLLIN | select.POLLHUP)
def cleanup(_done=[]):
if _done: return
_done.append(1)
poll.unregister(p.stderr)
p.stderr.close()
poll.unregister(stdout)
assert p.poll() is not None
read_write = {stdout.fileno(): (stdout.readline, logger.info),
p.stderr.fileno(): (p.stderr.readline, logger.error)}
while True:
events = poll.poll(40) # poll with a small timeout to avoid both
# blocking forever and a busy loop
if not events and p.poll() is not None:
# no IO events and the subprocess exited
cleanup()
break
for fd, event in events:
if event & select.POLLIN: # there is something to read
read, write = read_write[fd]
line = read()
if line:
write(line.rstrip())
elif event & select.POLLHUP: # free resources if stderr hung up
cleanup()
else: # something unexpected happened
assert 0
sys.exit(p.wait()) # return child's exit code
It assumes that stderr is always unbuffered/line-buffered and stdout is line-buffered in an interactive mode. Only full lines are read. The program might block if there are non-terminated lines in the output.

I suggest you write your own handlers, something like (not tested, I hope you catch the idea):
class my_buffer(object):
def __init__(self, fileobject, prefix):
self._fileobject = fileobject
self.prefix = prefix
def write(self, text):
return self._fileobject.write('%s %s' % (self.prefix, text))
# delegate other methods to fileobject if necessary
log_file = open('log.log', 'w')
my_out = my_buffer(log_file, 'OK:')
my_err = my_buffer(log_file, '!!!ERROR:')
p = subprocess.Popen(command, stdout=my_out, stderr=my_err, shell=True)

You may write the stdout/err to a file after the command execution.
In the example below I use pickling so I am sure I will be able to read without any particular parsing to differentiate between the stdout/err and at some point I could dumo the exitcode and the command itself.
import subprocess
import cPickle
command = 'ls -altrh'
outfile = 'log.errout'
pipe = subprocess.Popen(command, stdout = subprocess.PIPE,
stderr = subprocess.PIPE, shell = True)
stdout, stderr = pipe.communicate()
f = open(outfile, 'w')
cPickle.dump({'out': stdout, 'err': stderr},f)
f.close()

Running shell command and capturing the output

I want to write a function that will execute a shell command and return its output as a string, no matter, is it an error or success message. I just want to get the same result that I would have gotten with the command line.
What would be a code example that would do such a thing?
For example:
def run_command(cmd):
# ??????
print run_command('mysqladmin create test -uroot -pmysqladmin12')
# Should output something like:
# mysqladmin: CREATE DATABASE failed; error: 'Can't create database 'test'; database exists'

In all officially maintained versions of Python, the simplest approach is to use the subprocess.check_output function:
>>> subprocess.check_output(['ls', '-l'])
b'total 0\n-rw-r--r-- 1 memyself staff 0 Mar 14 11:04 files\n'
check_output runs a single program that takes only arguments as input.1 It returns the result exactly as printed to stdout. If you need to write input to stdin, skip ahead to the run or Popen sections. If you want to execute complex shell commands, see the note on shell=True at the end of this answer.
The check_output function works in all officially maintained versions of Python. But for more recent versions, a more flexible approach is available.
Modern versions of Python (3.5 or higher): run
If you're using Python 3.5+, and do not need backwards compatibility, the new run function is recommended by the official documentation for most tasks. It provides a very general, high-level API for the subprocess module. To capture the output of a program, pass the subprocess.PIPE flag to the stdout keyword argument. Then access the stdout attribute of the returned CompletedProcess object:
>>> import subprocess
>>> result = subprocess.run(['ls', '-l'], stdout=subprocess.PIPE)
>>> result.stdout
b'total 0\n-rw-r--r-- 1 memyself staff 0 Mar 14 11:04 files\n'
The return value is a bytes object, so if you want a proper string, you'll need to decode it. Assuming the called process returns a UTF-8-encoded string:
>>> result.stdout.decode('utf-8')
'total 0\n-rw-r--r-- 1 memyself staff 0 Mar 14 11:04 files\n'
This can all be compressed to a one-liner if desired:
>>> subprocess.run(['ls', '-l'], stdout=subprocess.PIPE).stdout.decode('utf-8')
'total 0\n-rw-r--r-- 1 memyself staff 0 Mar 14 11:04 files\n'
If you want to pass input to the process's stdin, you can pass a bytes object to the input keyword argument:
>>> cmd = ['awk', 'length($0) > 5']
>>> ip = 'foo\nfoofoo\n'.encode('utf-8')
>>> result = subprocess.run(cmd, stdout=subprocess.PIPE, input=ip)
>>> result.stdout.decode('utf-8')
'foofoo\n'
You can capture errors by passing stderr=subprocess.PIPE (capture to result.stderr) or stderr=subprocess.STDOUT (capture to result.stdout along with regular output). If you want run to throw an exception when the process returns a nonzero exit code, you can pass check=True. (Or you can check the returncode attribute of result above.) When security is not a concern, you can also run more complex shell commands by passing shell=True as described at the end of this answer.
Later versions of Python streamline the above further. In Python 3.7+, the above one-liner can be spelled like this:
>>> subprocess.run(['ls', '-l'], capture_output=True, text=True).stdout
'total 0\n-rw-r--r-- 1 memyself staff 0 Mar 14 11:04 files\n'
Using run this way adds just a bit of complexity, compared to the old way of doing things. But now you can do almost anything you need to do with the run function alone.
Older versions of Python (3-3.4): more about check_output
If you are using an older version of Python, or need modest backwards compatibility, you can use the check_output function as briefly described above. It has been available since Python 2.7.
subprocess.check_output(*popenargs, **kwargs)
It takes takes the same arguments as Popen (see below), and returns a string containing the program's output. The beginning of this answer has a more detailed usage example. In Python 3.5+, check_output is equivalent to executing run with check=True and stdout=PIPE, and returning just the stdout attribute.
You can pass stderr=subprocess.STDOUT to ensure that error messages are included in the returned output. When security is not a concern, you can also run more complex shell commands by passing shell=True as described at the end of this answer.
If you need to pipe from stderr or pass input to the process, check_output won't be up to the task. See the Popen examples below in that case.
Complex applications and legacy versions of Python (2.6 and below): Popen
If you need deep backwards compatibility, or if you need more sophisticated functionality than check_output or run provide, you'll have to work directly with Popen objects, which encapsulate the low-level API for subprocesses.
The Popen constructor accepts either a single command without arguments, or a list containing a command as its first item, followed by any number of arguments, each as a separate item in the list. shlex.split can help parse strings into appropriately formatted lists. Popen objects also accept a host of different arguments for process IO management and low-level configuration.
To send input and capture output, communicate is almost always the preferred method. As in:
output = subprocess.Popen(["mycmd", "myarg"],
stdout=subprocess.PIPE).communicate()[0]
Or
>>> import subprocess
>>> p = subprocess.Popen(['ls', '-a'], stdout=subprocess.PIPE,
... stderr=subprocess.PIPE)
>>> out, err = p.communicate()
>>> print out
.
..
foo
If you set stdin=PIPE, communicate also allows you to pass data to the process via stdin:
>>> cmd = ['awk', 'length($0) > 5']
>>> p = subprocess.Popen(cmd, stdout=subprocess.PIPE,
... stderr=subprocess.PIPE,
... stdin=subprocess.PIPE)
>>> out, err = p.communicate('foo\nfoofoo\n')
>>> print out
foofoo
Note Aaron Hall's answer, which indicates that on some systems, you may need to set stdout, stderr, and stdin all to PIPE (or DEVNULL) to get communicate to work at all.
In some rare cases, you may need complex, real-time output capturing. Vartec's answer suggests a way forward, but methods other than communicate are prone to deadlocks if not used carefully.
As with all the above functions, when security is not a concern, you can run more complex shell commands by passing shell=True.
Notes
1. Running shell commands: the shell=True argument
Normally, each call to run, check_output, or the Popen constructor executes a single program. That means no fancy bash-style pipes. If you want to run complex shell commands, you can pass shell=True, which all three functions support. For example:
>>> subprocess.check_output('cat books/* | wc', shell=True, text=True)
' 1299377 17005208 101299376\n'
However, doing this raises security concerns. If you're doing anything more than light scripting, you might be better off calling each process separately, and passing the output from each as an input to the next, via
run(cmd, [stdout=etc...], input=other_output)
Or
Popen(cmd, [stdout=etc...]).communicate(other_output)
The temptation to directly connect pipes is strong; resist it. Otherwise, you'll likely see deadlocks or have to do hacky things like this.

This is way easier, but only works on Unix (including Cygwin) and Python2.7.
import commands
print commands.getstatusoutput('wc -l file')
It returns a tuple with the (return_value, output).
For a solution that works in both Python2 and Python3, use the subprocess module instead:
from subprocess import Popen, PIPE
output = Popen(["date"],stdout=PIPE)
response = output.communicate()
print response

I had the same problem but figured out a very simple way of doing this:
import subprocess
output = subprocess.getoutput("ls -l")
print(output)
Note: This solution is Python3 specific as subprocess.getoutput() doesn't work in Python2

Something like that:
def runProcess(exe):
p = subprocess.Popen(exe, stdout=subprocess.PIPE, stderr=subprocess.STDOUT)
while(True):
# returns None while subprocess is running
retcode = p.poll()
line = p.stdout.readline()
yield line
if retcode is not None:
break
Note, that I'm redirecting stderr to stdout, it might not be exactly what you want, but I want error messages also.
This function yields line by line as they come (normally you'd have to wait for subprocess to finish to get the output as a whole).
For your case the usage would be:
for line in runProcess('mysqladmin create test -uroot -pmysqladmin12'.split()):
print line,

This is a tricky but super simple solution which works in many situations:
import os
os.system('sample_cmd > tmp')
print(open('tmp', 'r').read())
A temporary file(here is tmp) is created with the output of the command and you can read from it your desired output.
Extra note from the comments:
You can remove the tmp file in the case of one-time job. If you need to do this several times, there is no need to delete the tmp.
os.remove('tmp')

Vartec's answer doesn't read all lines, so I made a version that did:
def run_command(command):
p = subprocess.Popen(command,
stdout=subprocess.PIPE,
stderr=subprocess.STDOUT)
return iter(p.stdout.readline, b'')
Usage is the same as the accepted answer:
command = 'mysqladmin create test -uroot -pmysqladmin12'.split()
for line in run_command(command):
print(line)

You can use following commands to run any shell command. I have used them on ubuntu.
import os
os.popen('your command here').read()
Note: This is deprecated since python 2.6. Now you must use subprocess.Popen. Below is the example
import subprocess
p = subprocess.Popen("Your command", shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE).communicate()[0]
print p.split("\n")

I had a slightly different flavor of the same problem with the following requirements:
Capture and return STDOUT messages as they accumulate in the STDOUT buffer (i.e. in realtime).
#vartec solved this Pythonically with his use of generators and the 'yield'
keyword above
Print all STDOUT lines (even if process exits before STDOUT buffer can be fully read)
Don't waste CPU cycles polling the process at high-frequency
Check the return code of the subprocess
Print STDERR (separate from STDOUT) if we get a non-zero error return code.
I've combined and tweaked previous answers to come up with the following:
import subprocess
from time import sleep
def run_command(command):
p = subprocess.Popen(command,
stdout=subprocess.PIPE,
stderr=subprocess.PIPE,
shell=True)
# Read stdout from subprocess until the buffer is empty !
for line in iter(p.stdout.readline, b''):
if line: # Don't print blank lines
yield line
# This ensures the process has completed, AND sets the 'returncode' attr
while p.poll() is None:
sleep(.1) #Don't waste CPU-cycles
# Empty STDERR buffer
err = p.stderr.read()
if p.returncode != 0:
# The run_command() function is responsible for logging STDERR
print("Error: " + str(err))
This code would be executed the same as previous answers:
for line in run_command(cmd):
print(line)

Your Mileage May Vary, I attempted #senderle's spin on Vartec's solution in Windows on Python 2.6.5, but I was getting errors, and no other solutions worked. My error was: WindowsError: [Error 6] The handle is invalid.
I found that I had to assign PIPE to every handle to get it to return the output I expected - the following worked for me.
import subprocess
def run_command(cmd):
"""given shell command, returns communication tuple of stdout and stderr"""
return subprocess.Popen(cmd,
stdout=subprocess.PIPE,
stderr=subprocess.PIPE,
stdin=subprocess.PIPE).communicate()
and call like this, ([0] gets the first element of the tuple, stdout):
run_command('tracert 11.1.0.1')[0]
After learning more, I believe I need these pipe arguments because I'm working on a custom system that uses different handles, so I had to directly control all the std's.
To stop console popups (with Windows), do this:
def run_command(cmd):
"""given shell command, returns communication tuple of stdout and stderr"""
# instantiate a startupinfo obj:
startupinfo = subprocess.STARTUPINFO()
# set the use show window flag, might make conditional on being in Windows:
startupinfo.dwFlags |= subprocess.STARTF_USESHOWWINDOW
# pass as the startupinfo keyword argument:
return subprocess.Popen(cmd,
stdout=subprocess.PIPE,
stderr=subprocess.PIPE,
stdin=subprocess.PIPE,
startupinfo=startupinfo).communicate()
run_command('tracert 11.1.0.1')

On Python 3.7+, use subprocess.run and pass capture_output=True:
import subprocess
result = subprocess.run(['echo', 'hello', 'world'], capture_output=True)
print(repr(result.stdout))
This will return bytes:
b'hello world\n'
If you want it to convert the bytes to a string, add text=True:
result = subprocess.run(['echo', 'hello', 'world'], capture_output=True, text=True)
print(repr(result.stdout))
This will read the bytes using your default encoding:
'hello world\n'
If you need to manually specify a different encoding, use encoding="your encoding" instead of text=True:
result = subprocess.run(['echo', 'hello', 'world'], capture_output=True, encoding="utf8")
print(repr(result.stdout))

Splitting the initial command for the subprocess might be tricky and cumbersome.
Use shlex.split() to help yourself out.
Sample command
git log -n 5 --since "5 years ago" --until "2 year ago"
The code
from subprocess import check_output
from shlex import split
res = check_output(split('git log -n 5 --since "5 years ago" --until "2 year ago"'))
print(res)
>>> b'commit 7696ab087a163e084d6870bb4e5e4d4198bdc61a\nAuthor: Artur Barseghyan...'
Without shlex.split() the code would look as follows
res = check_output([
'git',
'log',
'-n',
'5',
'--since',
'5 years ago',
'--until',
'2 year ago'
])
print(res)
>>> b'commit 7696ab087a163e084d6870bb4e5e4d4198bdc61a\nAuthor: Artur Barseghyan...'

Here a solution, working if you want to print output while process is running or not.
I added the current working directory also, it was useful to me more than once.
Hoping the solution will help someone :).
import subprocess
def run_command(cmd_and_args, print_constantly=False, cwd=None):
"""Runs a system command.
:param cmd_and_args: the command to run with or without a Pipe (|).
:param print_constantly: If True then the output is logged in continuous until the command ended.
:param cwd: the current working directory (the directory from which you will like to execute the command)
:return: - a tuple containing the return code, the stdout and the stderr of the command
"""
output = []
process = subprocess.Popen(cmd_and_args, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE, cwd=cwd)
while True:
next_line = process.stdout.readline()
if next_line:
output.append(str(next_line))
if print_constantly:
print(next_line)
elif not process.poll():
break
error = process.communicate()[1]
return process.returncode, '\n'.join(output), error

For some reason, this one works on Python 2.7 and you only need to import os!
import os
def bash(command):
output = os.popen(command).read()
return output
print_me = bash('ls -l')
print(print_me)

If you need to run a shell command on multiple files, this did the trick for me.
import os
import subprocess
# Define a function for running commands and capturing stdout line by line
# (Modified from Vartec's solution because it wasn't printing all lines)
def runProcess(exe):
p = subprocess.Popen(exe, stdout=subprocess.PIPE, stderr=subprocess.STDOUT)
return iter(p.stdout.readline, b'')
# Get all filenames in working directory
for filename in os.listdir('./'):
# This command will be run on each file
cmd = 'nm ' + filename
# Run the command and capture the output line by line.
for line in runProcess(cmd.split()):
# Eliminate leading and trailing whitespace
line.strip()
# Split the output
output = line.split()
# Filter the output and print relevant lines
if len(output) > 2:
if ((output[2] == 'set_program_name')):
print filename
print line
Edit: Just saw Max Persson's solution with J.F. Sebastian's suggestion. Went ahead and incorporated that.

According to #senderle, if you use python3.6 like me:
def sh(cmd, input=""):
rst = subprocess.run(cmd, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE, input=input.encode("utf-8"))
assert rst.returncode == 0, rst.stderr.decode("utf-8")
return rst.stdout.decode("utf-8")
sh("ls -a")
Will act exactly like you run the command in bash

Improvement for better logging.
For better output you can use iterator.
From below, we get better
from subprocess import Popen, getstatusoutput, PIPE
def shell_command(cmd):
result = Popen(cmd, shell=True, stdout=PIPE, stderr=PIPE)
output = iter(result.stdout.readline, b'')
error = iter(result.stderr.readline, b'')
print("##### OutPut ###")
for line in output:
print(line.decode("utf-8"))
print("###### Error ########")
for line in error:
print(error.decode("utf-8")) # Convert bytes to str
status, terminal_output = run_command(cmd)
print(terminal_output)
shell_command("ls") # this will display all the files & folders in directory
Other method using getstatusoutput ( Easy to understand)
from subprocess import Popen, getstatusoutput, PIPE
status_Code, output = getstausoutput(command)
print(output) # this will give the terminal output
# status_code, output = getstatusoutput("ls") # this will print the all files & folder available in the directory

If you use the subprocess python module, you are able to handle the STDOUT, STDERR and return code of command separately. You can see an example for the complete command caller implementation. Of course you can extend it with try..except if you want.
The below function returns the STDOUT, STDERR and Return code so you can handle them in the other script.
import subprocess
def command_caller(command=None)
sp = subprocess.Popen(command, stderr=subprocess.PIPE, stdout=subprocess.PIPE, shell=False)
out, err = sp.communicate()
if sp.returncode:
print(
"Return code: %(ret_code)s Error message: %(err_msg)s"
% {"ret_code": sp.returncode, "err_msg": err}
)
return sp.returncode, out, err

I would like to suggest simppl as an option for consideration. It is a module that is available via pypi: pip install simppl and was runs on python3.
simppl allows the user to run shell commands and read the output from the screen.
The developers suggest three types of use cases:
The simplest usage will look like this:
from simppl.simple_pipeline import SimplePipeline
sp = SimplePipeline(start=0, end=100):
sp.print_and_run('<YOUR_FIRST_OS_COMMAND>')
sp.print_and_run('<YOUR_SECOND_OS_COMMAND>') ```
To run multiple commands concurrently use:
commands = ['<YOUR_FIRST_OS_COMMAND>', '<YOUR_SECOND_OS_COMMAND>']
max_number_of_processes = 4
sp.run_parallel(commands, max_number_of_processes) ```
Finally, if your project uses the cli module, you can run directly another command_line_tool as part of a pipeline. The other tool will
be run from the same process, but it will appear from the logs as
another command in the pipeline. This enables smoother debugging and
refactoring of tools calling other tools.
from example_module import example_tool
sp.print_and_run_clt(example_tool.run, ['first_number', 'second_nmber'],
{'-key1': 'val1', '-key2': 'val2'},
{'--flag'}) ```
Note that the printing to STDOUT/STDERR is via python's logging module.
Here is a complete code to show how simppl works:
import logging
from logging.config import dictConfig
logging_config = dict(
version = 1,
formatters = {
'f': {'format':
'%(asctime)s %(name)-12s %(levelname)-8s %(message)s'}
},
handlers = {
'h': {'class': 'logging.StreamHandler',
'formatter': 'f',
'level': logging.DEBUG}
},
root = {
'handlers': ['h'],
'level': logging.DEBUG,
},
)
dictConfig(logging_config)
from simppl.simple_pipeline import SimplePipeline
sp = SimplePipeline(0, 100)
sp.print_and_run('ls')

Here is a simple and flexible solution that works on a variety of OS versions, and both Python 2 and 3, using IPython in shell mode:
from IPython.terminal.embed import InteractiveShellEmbed
my_shell = InteractiveShellEmbed()
result = my_shell.getoutput("echo hello world")
print(result)
Out: ['hello world']
It has a couple of advantages
It only requires an IPython install, so you don't really need to worry about your specific Python or OS version when using it, it comes with Jupyter - which has a wide range of support
It takes a simple string by default - so no need to use shell mode arg or string splitting, making it slightly cleaner IMO
It also makes it cleaner to easily substitute variables or even entire Python commands in the string itself
To demonstrate:
var = "hello world "
result = my_shell.getoutput("echo {var*2}")
print(result)
Out: ['hello world hello world']
Just wanted to give you an extra option, especially if you already have Jupyter installed
Naturally, if you are in an actual Jupyter notebook as opposed to a .py script you can also always do:
result = !echo hello world
print(result)
To accomplish the same.

The output can be redirected to a text file and then read it back.
import subprocess
import os
import tempfile
def execute_to_file(command):
"""
This function execute the command
and pass its output to a tempfile then read it back
It is usefull for process that deploy child process
"""
temp_file = tempfile.NamedTemporaryFile(delete=False)
temp_file.close()
path = temp_file.name
command = command + " > " + path
proc = subprocess.run(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE, universal_newlines=True)
if proc.stderr:
# if command failed return
os.unlink(path)
return
with open(path, 'r') as f:
data = f.read()
os.unlink(path)
return data
if __name__ == "__main__":
path = "Somepath"
command = 'ecls.exe /files ' + path
print(execute(command))

eg, execute('ls -ahl')
differentiated three/four possible returns and OS platforms:
no output, but run successfully
output empty line, run successfully
run failed
output something, run successfully
function below
def execute(cmd, output=True, DEBUG_MODE=False):
"""Executes a bash command.
(cmd, output=True)
output: whether print shell output to screen, only affects screen display, does not affect returned values
return: ...regardless of output=True/False...
returns shell output as a list with each elment is a line of string (whitespace stripped both sides) from output
could be
[], ie, len()=0 --> no output;
[''] --> output empty line;
None --> error occured, see below
if error ocurs, returns None (ie, is None), print out the error message to screen
"""
if not DEBUG_MODE:
print "Command: " + cmd
# https://stackoverflow.com/a/40139101/2292993
def _execute_cmd(cmd):
if os.name == 'nt' or platform.system() == 'Windows':
# set stdin, out, err all to PIPE to get results (other than None) after run the Popen() instance
p = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE, shell=True)
else:
# Use bash; the default is sh
p = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE, shell=True, executable="/bin/bash")
# the Popen() instance starts running once instantiated (??)
# additionally, communicate(), or poll() and wait process to terminate
# communicate() accepts optional input as stdin to the pipe (requires setting stdin=subprocess.PIPE above), return out, err as tuple
# if communicate(), the results are buffered in memory
# Read stdout from subprocess until the buffer is empty !
# if error occurs, the stdout is '', which means the below loop is essentially skipped
# A prefix of 'b' or 'B' is ignored in Python 2;
# it indicates that the literal should become a bytes literal in Python 3
# (e.g. when code is automatically converted with 2to3).
# return iter(p.stdout.readline, b'')
for line in iter(p.stdout.readline, b''):
# # Windows has \r\n, Unix has \n, Old mac has \r
# if line not in ['','\n','\r','\r\n']: # Don't print blank lines
yield line
while p.poll() is None:
sleep(.1) #Don't waste CPU-cycles
# Empty STDERR buffer
err = p.stderr.read()
if p.returncode != 0:
# responsible for logging STDERR
print("Error: " + str(err))
yield None
out = []
for line in _execute_cmd(cmd):
# error did not occur earlier
if line is not None:
# trailing comma to avoid a newline (by print itself) being printed
if output: print line,
out.append(line.strip())
else:
# error occured earlier
out = None
return out
else:
print "Simulation! The command is " + cmd
print ""

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