⏰ process-time-killer
Project description
⏰ Process Time Killer
process-time-killer is a Python utility to run subprocesses and terminate them after a specified timeout. This package helps in controlling processes by running commands for a limited time and ensuring they are terminated gracefully or forcefully.
Features
- Run any subprocess for a specified duration.
- Automatically terminate the subprocess after a given timeout.
- Graceful termination or forced killing if the process does not exit on time.
- Logs all steps, including the start, termination attempt, and any errors.
Installation
You can install process-time-killer via pip:
pip install process-time-killer
Usage
Command-line Interface (CLI)
Run the utility from the command line by specifying the command and an optional timeout:
timekiller "ping google.com" --timeout 10
Arguments:
- command: The command to run in the subprocess (default: "ping google.com").
- --timeout: Time in seconds before the subprocess is terminated (default: 12 seconds).
Example:
Run the echo command for 5 seconds:
timekiller "echo Hello World" --timeout 5
Programmatic Usage
You can also use this utility in your Python code by calling the run_subprocess function:
from timekiller import run_subprocess
command = "echo Hello World"
timeout = 10
run_subprocess(command, timeout)
Functions
run_subprocess(command: str, seconds: int)
Runs a subprocess with the specified command and terminates it after the given number of seconds.
Arguments:
- command (str): The command to execute in the subprocess.
- seconds (int): Number of seconds to run the subprocess before terminating.
Raises:
- ValueError: If the command or seconds parameter is invalid.
- RuntimeError: If there is an issue with starting or terminating the subprocess.
main()
The main function that serves as the entry point for the command-line interface (CLI). It parses the arguments and calls run_subprocess.
Logging
This package uses Python’s built-in logging module to log: • The start of the subprocess. • The attempt to terminate the subprocess after the timeout. • Any errors that occur during execution.
License
This project is licensed under the MIT License.
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