https://github.com/jczic/MicroWorkers

A micro workers class that easily manages a pool of threads to optimise simultaneous jobs and jobs endings, for MicroPython (used on Pycom modules & ESP32)
https://github.com/jczic/MicroWorkers

concurency concurrency esp32 hc2 jobs lopy micropython multithread multithreading pool pycom queue thread threads wipy worker-queue worker-threads workers

Last synced: about 1 month ago
JSON representation

A micro workers class that easily manages a pool of threads to optimise simultaneous jobs and jobs endings, for MicroPython (used on Pycom modules & ESP32)

• Host: GitHub
• URL: https://github.com/jczic/MicroWorkers
• Owner: jczic
• License: mit
• Created: 2018-03-06T22:18:12.000Z (almost 7 years ago)
• Default Branch: master
• Last Pushed: 2019-09-19T22:43:45.000Z (about 5 years ago)
• Last Synced: 2024-10-27T23:17:55.084Z (about 2 months ago)
• Topics: concurency, concurrency, esp32, hc2, jobs, lopy, micropython, multithread, multithreading, pool, pycom, queue, thread, threads, wipy, worker-queue, worker-threads, workers
• Language: Python
• Homepage: https://microworkers.hc2.fr
• Size: 61.5 KB
• Stars: 41
• Watchers: 5
• Forks: 11
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.md

Awesome Lists containing this project

• awesome-micropython-lib - MicroWorkers - A micro workers class that easily manages a pool of threads (Threading)
• awesome-micropython - MicroWorkers - A micro workers class that easily manages a pool of threads to optimise simultaneous jobs and jobs endings, for MicroPython (used on Pycom modules & ESP32). (Libraries / Threading)

README

        
### MicroWorkers is a class that easily manages a pool of threads to optimise simultaneous jobs and jobs endings, for MicroPython (used on ESP32 and [Pycom](http://www.pycom.io) modules)

![HC²](hc2.png "HC²")

Very easy to integrate and very light with one file only :

- `"microWorkers.py"`

Simple but effective :

- Use it to create a multitasking jobs container

- Add jobs without blocking your main code

- Be alerted by an event when a job has finished

### Using *microWorkers* class :

| Description  | Function |

| - | - |

| Constructor | `workers = MicroWorkers(workersCount, workersStackSize=None)` |

| Adds a job | `workers.AddJob(name, function, arg=None, onFinished=None)` |

| Description  | Property |

| - | - |

| Returns workers count | `workers.Count` |

| Returns emaining jobs count | `workers.JobsInQueue` |

| Returns jobs in process count  | `workers.JobsInProcess` |

| Returns `True` if is in working | `workers.IsWorking` |

### Simple example :

```python

from microWorkers import MicroWorkers

from time         import sleep

def sleepJob(jobName, jobArg) :

	sleep(10)

	return True

workers = MicroWorkers(workersCount=5)

for i in range(5) :

	workers.AddJob('Job %s' % i, sleepJob)

```

### Example of using multiple jobs (with finished event) :

```python

from microWorkers import MicroWorkers

from time         import sleep

print()

def jobA(jobName, jobArg) :

    sleep(1)

    return '%s:OK:1s' % jobName

def jobB(jobName, jobArg) :

    sleep(2)

    return '%s:OK:2s' % jobName

def jobC(jobName, jobArg) :

    sleep(3)

    return '%s:OK:3s' % jobName

def jobFinished(jobName, jobArg, jobResult) :

    print('Job %s finished (%s)' % (jobName, jobResult))

# workersStackSize must be greater than zero

# it can be None to use the default stack size

workers = MicroWorkers(workersCount=5, workersStackSize=10*1024)

for x in range(5) :

    workers.AddJob('JobA.%s' % x, jobA, arg=None, onFinished=jobFinished)

    workers.AddJob('JobB.%s' % x, jobB, arg=None, onFinished=jobFinished)

    workers.AddJob('JobC.%s' % x, jobC, arg=None, onFinished=jobFinished)

# Waiting end of all jobs,

while workers.IsWorking :

    sleep(0.100)

```

### By JC`zic for [HC²](https://www.hc2.fr) ;')

*Keep it simple, stupid* :+1: