Skip to main content

Simplify and master control (run and stop) the python threads (workers)

Project description

python-worker

Downloads

Installation

pip install python-worker

Description

A package to simplify the thread declaration directly either by using decorator or pass it through function. It also allows you to stop the running thread (worker) from any layer

Developed by Danangjoyoo (c) 2020

Repository


Basic Guide

@worker will define a function as a thread object once it run

import time
from worker import worker

@worker
def go(n, sleepDur):
  for i in range(n):
    time.sleep(sleepDur)
  print('done')

go(100, 0.1)

The function go will be running as a thread


Asynchronous Guide

Well, if you have a coroutine function you can use async_worker instead

import asyncio
from worker import async_worker

@async_worker
async def go():
    print("this is inside coroutine!")
    for i in range(10):
        time.sleep(0.5)
        print(i)
    print("done!")
    return "result!"

go_worker = asyncio.run(go())

Kill / Stop / Abort the running worker

You can abort some workers, all workers or even all threads..

Abort specific workers

import time
from worker import worker, abort_worker

@worker
def go4(n=10):
    for i in range(n):
        time.sleep(1)

go4_worker = go4(10)
time.sleep(3)
abort_worker(go4_worker)

or just abort it from the instance

go4_worker.abort()

Abort all workers (this only abort worker threads only)

from worker import abort_all_worker

abort_all_worker()

Abort all threads (it will abort both all worker and non-worker threads)

from worker import abort_all_thread

abort_all_thread()

Run undefined @worker function

import time
from worker import run_as_Worker

def go(n):
    ...

go_worker = run_as_Worker(target=go, args=(10,))

Get Return Value

How to get the return of threaded function ?

@worker
def go(n):
    time.sleep(n)
    return "done"

go_worker = go(10)

# this will await the worker to finished and return the value

go_result = go_worker.await

# You can also use this if it's finished, dont have to await

go_result = go_worker.ret

Check/Monitor All Workers

from worker import ThreadWorkerManager

## all created workers
ThreadWorkerManager.list()

## All active/running workers only
ThreadWorkerManager.list(active_only=True)

it will return the information

>>> ThreadWorkerManager.list()
==============================================================
ID   |Name                |Active|Address        | WorkTime (s)   
==============================================================
0    |worker              |True  |0x7fdf1a977af0 | 4.97           
1    |worker1             |True  |0x7fdf1a73d640 | 4.07           
2    |worker2             |True  |0x7fdf1a73d9d0 | 3.83           
3    |worker3             |True  |0x7fdf1a73dd00 | 3.62           
4    |worker4             |True  |0x7fdf1a74b070 | 3.38           
==============================================================

Python Interactive Shell - Keyboard Interrupt (CTRL+C)

When you run your scripts on interactive mode

python -i myScript.py

you could add an abort handler with keyboard interrupt to abort your thread.

Inside myScript.py

ThreadWorkerManager.enableKeyboardInterrupt() allows you to abort your running workers.

from worker import worker, ThreadWorkerManager


# enabling abort handler for worker into keyboard interrupt (CTRL+C)

ThreadWorkerManager.enableKeyboardInterrupt()

You could also activate exit thread which triggered by pressing the CTRL+Z. This also added an abort handler for worker into keyboard interrupt (CTRL+C).

ThreadWorkerManager.disableKeyboardInterrupt(enable_exit_thread=True)

Disabling abort handler for worker into keyboard interrupt (CTRL+C).

ThreadWorkerManager.disableKeyboardInterrupt()

Check handler status.

ThreadWorkerManager.keyboard_interrupt_handler_status

You also can choose which workers are allowed to be aborted on keyboard interrupt

Inside myScript.py

from worker import worker, ThreadWorkerManager

@worker("Uninterrupted", on_abort=lambda: print("ITS GREAT"), keyboard_interrupt=False)
def go_not_interrupted():
  i = 0
  while i < 1e3/2:
    i += 10
    print(i,"go_not_interrupted")
    time.sleep(0.001)
  return i

@worker("Interrupted", on_abort=lambda: print("ITS GREAT"), keyboard_interrupt=True)
def go_interrupted():
  i = 0
  while i < 1e3/2:
    i += 10
    print(i,"go_interrupted")
    time.sleep(0.001)
  return i

ThreadWorkerManagerManager.enableKeyboardInterrupt()
go_not_interrupted()
go_interrupted()

run in your terminal

python -i myScript.py

press CTRL+C while the process is running and see the results.


Changelog

  • v1.8:
    • Refactoring codes
    • flexible worker declaration
  • v1.9:
    • Added Asynchronous Worker for coroutine function using @async_worker decorator
  • v1.10:
    • Added overload typehints for worker and async_worker
    • Added restart feature for worker
  • future:
    • In progress developing process worker

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

python-worker-1.10.1.tar.gz (8.9 kB view details)

Uploaded Source

Built Distribution

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

python_worker-1.10.1-py3-none-any.whl (8.9 kB view details)

Uploaded Python 3

File details

Details for the file python-worker-1.10.1.tar.gz.

File metadata

  • Download URL: python-worker-1.10.1.tar.gz
  • Upload date:
  • Size: 8.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.10.1 pkginfo/1.8.2 requests/2.22.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.8.10

File hashes

Hashes for python-worker-1.10.1.tar.gz
Algorithm Hash digest
SHA256 c06dbe738f6997a7ca7cb08ad462cd4c27709b9f0f3a178a780816a7f52c1c0a
MD5 154f2e3b7b76516833235c8560a7afa4
BLAKE2b-256 6828b25ebecde82b01f7efa782ea30c5221264f7078f02e8437c507410d46f4f

See more details on using hashes here.

File details

Details for the file python_worker-1.10.1-py3-none-any.whl.

File metadata

  • Download URL: python_worker-1.10.1-py3-none-any.whl
  • Upload date:
  • Size: 8.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.10.1 pkginfo/1.8.2 requests/2.22.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.8.10

File hashes

Hashes for python_worker-1.10.1-py3-none-any.whl
Algorithm Hash digest
SHA256 3fb91d47d6b40d94f0d22b8dddce734534e7f180df3979bc6826e3c5d7f277b2
MD5 9a48afc018ec956ab150820c4d0d60b9
BLAKE2b-256 b1e4b6a20390a109227a1ccb91023293b3214e668f7dbbb489bb9c6105533894

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