Skip to main content

Run commands simultaneously

Project description

multiCMD

A simple script that is able to issue multiple commands and execute them at the same time locally.

multiCMD can display realtime-ish outputs in color if running multiple commands at the same time.

Can be used in bash scripts for automation actions.

Also able to be imported and act as a wrapper for subprocess.

Use return_object=True with run_commands or run_command to get the Task Object (definition below)

Use quiet=True and wait_for_return=False to create a daemon thread that async updates the return list / objects when return comes

For each process, it will initialize a thread if using -m/--max_threads > 1

For each thread, it will use subprocess lib to open a process for the command task

And it will open two sub threads for processing input and output for the task.

They input / output threads will be non-blocking.

Thus using -t/--timeout will work more reliably.

Note: timeout specifies how many seconds multiCMD will kill the command if NO COMMITTED OUTPUT was detected from the program for this long.

An output line is considered committed if steram hanlder encounters a '\n' or '\r' character.

Install via

pip install multiCMD

multiCMD will be available as

mcmd
multiCMD
multicmd
$ mcmd -h
usage: mcmd [-h] [-t timeout] [-m max_threads] [-q] [-V] command [command ...]

Run multiple commands in parallel

positional arguments:
  command               commands to run

options:
  -h, --help            show this help message and exit
  -p, --parse           Parse ranged input and expand them into multiple commands
  -t timeout, --timeout timeout
                        timeout for each command
  -m max_threads, --max_threads max_threads
                        maximum number of threads to use
  -q, --quiet           quiet mode
  -V, --version         show program's version number and exit
def run_commands(commands, timeout=0,max_threads=1,quiet=False,dry_run=False,with_stdErr=False,
				 return_code_only=False,return_object=False, parse = False, wait_for_return = True):
	'''
	Run multiple commands in parallel

	@params:
		commands: A list of commands to run ( list[str] | list[list[str]] )
		timeout: The timeout for each command
		max_threads: The maximum number of threads to use
		quiet: Whether to suppress output
		dry_run: Whether to simulate running the commands
		with_stdErr: Whether to append the standard error output to the standard output
		return_code_only: Whether to return only the return code
		return_object: Whether to return the Task object
		parse: Whether to parse ranged input
		wait_for_return: Whether to wait for the return of the commands

	@returns:
		list: The output of the commands ( list[None] | list[int] | list[list[str]] | list[Task] )
  '''
def run_command(command, timeout=0,max_threads=1,quiet=False,dry_run=False,with_stdErr=False,
				return_code_only=False,return_object=False,wait_for_return=True):
	'''
	Run a command

	@params:
		command: The command to run
		timeout: The timeout for the command
		max_threads: The maximum number of threads to use
		quiet: Whether to suppress output
		dry_run: Whether to simulate running the command
		with_stdErr: Whether to append the standard error output to the standard output
		return_code_only: Whether to return only the return code
		return_object: Whether to return the Task object
		wait_for_return: Whether to wait for the return of the command

	@returns:
		None | int | list[str] | Task: The output of the command
	'''
def join_threads(threads=__running_threads,timeout=None):
	'''
	Join threads

	@params:
		threads: The threads to join
		timeout: The timeout

	@returns:
		None
	'''
def input_with_timeout_and_countdown(timeout, prompt='Please enter your selection'):
	"""
	Read an input from the user with a timeout and a countdown.

	@params:
		timeout: The timeout in seconds
		prompt: The prompt to display to the user

	@returns:
		str: The input from the user or None if no input was received

	"""
def print_progress_bar(iteration, total, prefix='', suffix=''):
	'''
	Call in a loop to create terminal progress bar
	@params:
		iteration   - Required  : current iteration (Int)
		total       - Required  : total iterations (Int)
		prefix      - Optional  : prefix string (Str)
		suffix      - Optional  : suffix string (Str)

	@returns:
		None
	'''
def get_terminal_size():
	'''
	Get the terminal size

	@params:
		None

	@returns:
		(int,int): the number of columns and rows of the terminal
	'''
def int_to_color(n, brightness_threshold=500):
	'''
	Convert an integer to a color

	@params:
		n: The integer
		brightness_threshold: The brightness threshold

	@returns:
		(int,int,int): The RGB color
	'''
class Task:
	def __init__(self, command):
		self.command = command
		self.returncode = None
		self.stdout = []
		self.stderr = []

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

multicmd-1.17.tar.gz (7.5 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

multiCMD-1.17-py3-none-any.whl (8.2 kB view details)

Uploaded Python 3

File details

Details for the file multicmd-1.17.tar.gz.

File metadata

  • Download URL: multicmd-1.17.tar.gz
  • Upload date:
  • Size: 7.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.1

File hashes

Hashes for multicmd-1.17.tar.gz
Algorithm Hash digest
SHA256 b1e1a49a1b31ed88a6be7091177f34306717b3bb4bb10dca1d08a5fb03768764
MD5 5958db3fc5049e778ae794e9163c66a6
BLAKE2b-256 c918fb9fbf5a8f51883dc2d886fcb8e75ff1a5163b0295823c80f99f73d61c9b

See more details on using hashes here.

File details

Details for the file multiCMD-1.17-py3-none-any.whl.

File metadata

  • Download URL: multiCMD-1.17-py3-none-any.whl
  • Upload date:
  • Size: 8.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.1

File hashes

Hashes for multiCMD-1.17-py3-none-any.whl
Algorithm Hash digest
SHA256 9974c6c6b7c71dd9c358ea7b26c6469899b6a4f5babd326a1d34ae8799af856f
MD5 a921dd1abfb1044a37be56eda1785e9f
BLAKE2b-256 d2f8ff9328282f53f80c56389ca1e0844c3129ff81312065772c987a0c494c97

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page