coworker

Generic worker that performs concurrent tasks using coroutine.

Quick Start Tutorial

Define how a task is performed – do_task takes a single input and optionally returns a result:

from coworker import Coworker

class SquareWorker(Coworker):
    async def do_task(self, task):  # Task can be anything, such as a tuple with a callable and args.
        return task * task

Now let’s do some work:

import asyncio

async def background_worker_example():
    worker = SquareWorker(max_concurrency=5)    # Only 5 tasks will run concurrently. Defalts to 10

    # Single task
    result = await worker.do(2)
    print(result)   # result = 4

    # Mulitiple tasks -- get all results after everything is done
    tasks = list(range(100))
    results = await worker.do(tasks)
    print(results)  # results = [0, 1, 4, 9, ...]

    # Mulitiple tasks -- get first completed
    tasks = list(range(10))
    for result in worker.do(tasks, as_iterator=True):
        print(await result)  # results = 0, 1, 4, 9, ...

# Run async usage example
asyncio.run(background_worker_example())

Besides max_concurrency, you can also pass the following params to Coworker:

• sliding_window to use sliding window or tumbling window when processing the tasks concurrently. Defaults to True.

• do_task for a callable to do the task instead of having to sub-class. E.g. Coworker(do_task=lamdba x: x * x)

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