Python Detach Subprocess And Exit [With Examples]

You can detach a subprocess using the subprocess module by creating a background process that runs independently of your main Python script.

To do this, you can use the subprocess.Popen class and the detach method. Here’s how you can detach a subprocess:

import subprocess

# Define the command you want to run in a subprocess
command = ["python", ""]

# Create a subprocess with the `detach` option
process = subprocess.Popen(command, stdout=subprocess.PIPE, stderr=subprocess.PIPE, stdin=subprocess.PIPE, start_new_session=True)

# Detach the subprocess from the parent process

# You can continue with your main script without waiting for the subprocess to finish
Code language: Python (python)

In this example:

  1. Replace "python" and "" with the actual command and script you want to run as a subprocess.
  2. start_new_session=True is used to start the subprocess in a new session, which allows it to continue running even if the parent process exits.

After detaching the subprocess, you can continue with your main script, and the subprocess will run independently in the background.

Keep in mind that when you detach a subprocess, you won’t be able to communicate with it directly from your main script. If you need to interact with the subprocess or monitor its progress, you may need to implement additional communication mechanisms, such as pipes or sockets.

Python Exit Subprocess

You can exit or terminate a subprocess using the subprocess module. To do this, you typically create a subprocess using subprocess.Popen and then use the terminate() method to stop the subprocess gracefully. Here’s an example of how to do it:

import subprocess
import time

# Start a subprocess
subprocess_handle = subprocess.Popen(["python", ""])

# Wait for some time (or perform other tasks)

# Terminate the subprocess
Code language: Python (python)

In the above example:

  1. You start a subprocess by calling subprocess.Popen with the command you want to execute. Replace "python" and "" with the actual command and script you want to run.
  2. You can use time.sleep or perform other tasks in your main script while the subprocess is running.
  3. When you’re ready to exit the subprocess, you call subprocess_handle.terminate(). This method sends a termination signal to the subprocess, allowing it to perform any necessary cleanup and exit gracefully.

Keep in mind that terminate() sends a signal to the subprocess to request termination, but the subprocess’s response depends on how it’s programmed. Some processes may exit immediately, while others may need to handle the termination signal appropriately. If the subprocess doesn’t respond to terminate(), you can use subprocess_handle.kill() to forcefully terminate it.

How to detach a program ran by

The function is a simpler way to run a command, but it doesn’t provide a direct way to detach the program from the calling process like subprocess.Popen. However, you can still achieve detachment by running the command in the background using shell operators (such as & on Unix-like systems) to launch the command as a background process. Here’s how you can do it:

import subprocess

# Define the command you want to run
command = "python"

# Use the shell to run the command in the background, shell=True)Code language: Python (python)

In this example, is used with shell=True to run the command in a shell. By adding an & at the end of the command string (as you would in a regular shell), the command will be run in the background, detached from the calling process.

Keep in mind that when using the shell=True option, you should be cautious about potential security risks, especially if the command string is generated from user input, as it can be vulnerable to shell injection attacks. Make sure to validate and sanitize the command string if it’s based on user input to avoid security issues.

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  • Aniket Singh

    Aniket Singh holds a B.Tech in Computer Science & Engineering from Oriental University. He is a skilled programmer with a strong coding background, having hands-on experience in developing advanced projects, particularly in Python and the Django framework. Aniket has worked on various real-world industry projects and has a solid command of Python, Django, REST API, PostgreSQL, as well as proficiency in C and C++. He is eager to collaborate with experienced professionals to further enhance his skills.

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