How to Execute Shell Commands with Python22 Apr 2019
Table of Contents
Python is a wonderful language for scripting and automating workflows and it is packed with useful tools out of the box with the Python Standard Library. A common thing to do, especially for a sysadmin, is to execute shell commands. But what usually will end up in a bash or batch file, can be also done in Python. You’ll learn here how to do just that with the os and subprocess modules.
The first and the most straight forward approach to run a shell command is by using os.system():
import os os.system('ls -l')
If you save this as a script and run it, you will see the output in the command line. The problem with this approach is in its inflexibility since you can’t even get the resulting output as a variable. You can read more about this function in the documentation.
Note, that if you run this function in Jupyter notebook, you won’t have an output inline. Instead you the inline output will be the return code of the executed programm (
0 for successful and
-1 for unsuccessful). You will find the output in the command line where you have started Jupyter notebook.
Next, the os.popen() command opens a pipe from or to the command line. This means that we can access the stream within Python. This is useful since you can now get the output as a variable:
import os stream = os.popen('echo Returned output') output = stream.read() output
When you use the
.read() function, you will get the whole output as one string. You can also use the
.readlines() function, which splits each line (including a trailing
\n). Note, that you can run them only once. It is also possible to write to the stream by using the
mode='w' argument. To delve deeper into this function, have a look at the documentation.
In this example and in the following examples, you will see that you always have trailing line breaks in the output. To remove them (including blank spaces and tabs in the beginning and end) you can use the
.strip() function like with
output.strip(). To remove those characters only in the beginning use
.lstrip() and for the end
The final approach is also the most versatile approach and the recommended module to run external commands in Python:
The subprocess module provides more powerful facilities for spawning new processes and retrieving their results; using that module is preferable to using this function. See the Replacing Older Functions with the subprocess Module section in the subprocess documentation for some helpful recipes. (Source)
The main function you want to keep in mind if you use Python >= 3.5 is subprocess.run(), but before we get there let’s go through the functionality of the
subprocess module. The subprocess.Popen() class is responsible for the creation and management of the executed process. In contrast to the previous functions, this class executes only a single command with arguments as a list. This means that you won’t be able to pipe commands:
import subprocess process = subprocess.Popen(['echo', 'More output'], stdout=subprocess.PIPE, stderr=subprocess.PIPE) stdout, stderr = process.communicate() stdout, stderr
(b'More output\n', b'')
You’ll notice that we set
stderr to subprocess.PIPE. This is a special value that indicates to
subprocess.Popen that a pipe should be opened that you can then read with the
.communicate() function. It is also possible to use a file object as with:
with open('test.txt', 'w') as f: process = subprocess.Popen(['ls', '-l'], stdout=f)
Another thing that you’ll notice is that the output is of type bytes. You can solve that by typing
stdout.decode('utf-8') or by adding
universal_newlines=True when calling
When you run
.communicate(), it will wait until the process is complete. However if you have a long program that you want to run and you want to continuously check the status in realtime while doing something else, you can do this like here:
process = subprocess.Popen(['ping', '-c 4', 'python.org'], stdout=subprocess.PIPE, universal_newlines=True) while True: output = process.stdout.readline() print(output.strip()) # Do something else return_code = process.poll() if return_code is not None: print('RETURN CODE', return_code) # Process has finished, read rest of the output for output in process.stdout.readlines(): print(output.strip()) break
PING python.org (18.104.22.168) 56(84) bytes of data. 64 bytes from 22.214.171.124 (126.96.36.199): icmp_seq=1 ttl=51 time=117 ms 64 bytes from 188.8.131.52 (184.108.40.206): icmp_seq=2 ttl=51 time=118 ms 64 bytes from 220.127.116.11 (18.104.22.168): icmp_seq=3 ttl=51 time=117 ms 64 bytes from 22.214.171.124 (126.96.36.199): icmp_seq=4 ttl=51 time=118 ms --- python.org ping statistics --- RETURN CODE 0 4 packets transmitted, 4 received, 0% packet loss, time 3001ms rtt min/avg/max/mdev = 117.215/117.874/118.358/0.461 ms
You can use the
.poll() function to check the return code of the process. It will return
None while the process is still running. To get the output, you can use
process.stdout.readline() to read a single line. Conversely, when you use
process.stdout.readlines(), it reads all lines and it also waits for the process to finish if it has not finished yet. For more information on the functionionality of
subprocess.Popen, have a look at the documentation.
Also note, that you won’t need quotations for arguments with spaces in between like
'\"More output\"'. If you are unsure how to tokenize the arguments from the command, you can use the shlex.split() function:
import shlex shlex.split("/bin/prog -i data.txt -o \"more data.txt\"")
['/bin/prog', '-i', 'data.txt', '-o', 'more data.txt']
You have also the subprocess.call() function to your disposal which works like the
Popen class, but it waits until the command completes and gives you the return code as in
return_code = subprocess.call(['echo', 'Even more output']). The recommended way however is to use subprocess.run() which works since Python 3.5. It has been added as a simplification of
subprocess.Popen. The function will return a subprocess.CompletedProcess object:
process = subprocess.run(['echo', 'Even more output'], stdout=subprocess.PIPE, universal_newlines=True) process
CompletedProcess(args=['echo', 'Even more output'], returncode=0, stdout='Even more output\n')
You can now find the resulting output in this variable:
'Even more output\n'
subprocess.call() and the previous
.communicate() function, it will wait untill the process is completed. Finally, here is a more advanced example on how to access a server with ssh and the
import subprocess ssh = subprocess.Popen(["ssh", "-i .ssh/id_rsa", "user@host"], stdin =subprocess.PIPE, stdout=subprocess.PIPE, stderr=subprocess.PIPE, universal_newlines=True, bufsize=0) # Send ssh commands to stdin ssh.stdin.write("uname -a\n") ssh.stdin.write("uptime\n") ssh.stdin.close() # Fetch output for line in ssh.stdout: print(line.strip())
Here you can see how to write input to the process. In this case you need to set the
bufsize=0 in order to have unbuffered output. After you are finished writing to the
stdin, you need to close the connection.
You have seen now how to run external commands in Python. The most effective way is to use the
subprocess module with all the functionality it offers. Most notably, you should consider using
subprocess.run. For a short and quick script you might just want to use the
os.popen() functions. If you have any questions, feel free to leave them in the comments below. There are also other useful libraries that support shell commands in Python, like plumbum, sh, psutils and pexpect.