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.

It can be used in bash scripts for automation actions, and it can also 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 asynchronously updates the return list / objects when commands finish.

For each process, a thread will be initialized if using -m/--max_threads > 1.
For each thread, subprocess is used to open a process for the command task.
Two additional threads are opened for processing input and output for the task.

The input / output threads are non-blocking.
Thus, using -t/--timeout will work more reliably.

Note: timeout specifies how many seconds multiCMD will wait before killing the command if no committed output was detected for this duration. An output line is considered committed if the stream handler 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-1.35.tar.gz (12.9 kB view details)

Uploaded Source

Built Distribution

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

multicmd-1.35-py3-none-any.whl (13.2 kB view details)

Uploaded Python 3

File details

Details for the file multicmd-1.35.tar.gz.

File metadata

  • Download URL: multicmd-1.35.tar.gz
  • Upload date:
  • Size: 12.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.8.16

File hashes

Hashes for multicmd-1.35.tar.gz
Algorithm Hash digest
SHA256 87bfad32f231ff5a484015185e52c0bbbabc9fc632ecc5a5a4628a213dc53c49
MD5 016917e0b98baf5040b675deddee38d0
BLAKE2b-256 c07ee48de765cdac1fe14d85211cf89dbc8521430ca644294fd64e21aba3bce6

See more details on using hashes here.

File details

Details for the file multicmd-1.35-py3-none-any.whl.

File metadata

  • Download URL: multicmd-1.35-py3-none-any.whl
  • Upload date:
  • Size: 13.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.8.16

File hashes

Hashes for multicmd-1.35-py3-none-any.whl
Algorithm Hash digest
SHA256 31622cedf388b2636a8ca02de0eb9ba3f305662cf32074e38ad6056105a342db
MD5 5862868cde711bd0075ea055f070bd89
BLAKE2b-256 df9cda48cd384b5215b5988c0a400d9c00fb543f4f0221364688c298e21f4b3f

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