Metadata-Version: 2.1
Name: python-worker
Version: 1.10.1
Summary: Simplify and master control (run and stop) the python threads (workers)
Home-page: UNKNOWN
Author: danangjoyoo (Agus Danangjoyo)
Author-email: <agus.danangjoyo.blog@gmail.com>
License: UNKNOWN
Keywords: python,threading,worker,async worker,async thread,abort thread,thread stopper,thread manager,simple thread,thread monitor
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Microsoft :: Windows
Description-Content-Type: text/markdown
Requires-Dist: keyboard

# python-worker
[![Downloads](https://static.pepy.tech/personalized-badge/python-worker?period=total&units=international_system&left_color=black&right_color=orange&left_text=Downloads)](https://pepy.tech/project/python-worker)

## 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
- [GitHub Repo](https://github.com/Danangjoyoo/python-worker)

---
## 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

