Skip to main content

A minimalistic in-memory async Python Task queue

Project description

Kolona

A minimalistic in-memory async Python Task queue.

Install

pip install kolona

Features

  • Retry tasks
  • Multiple workers
  • In-memor only (no 3rd party message brokers required)
  • Python native using asyncio
  • Statically typed

Example

import asyncio

from kolona import task, Workers

# create a queue
QUEUE = asyncio.Queue()


@task(queue=QUEUE, max_retries=2)
async def purchase_listener(*args):
    print(f"purchase_listener -> args: {args}")


@task(queue=QUEUE, max_retries=3)
async def account_checker(*args):
    print(f"account_checker doing checking")


async def main():
    # queue 1 account_checker task
    await account_checker.enqueue()

    # queue 3 purchase_listener tasks, pass an argument into it
    for x in range(3):
        print(f"Queueing: task-{x}")
        await purchase_listener.enqueue(f"task-{x}")

    # start 3 workers
    workers = Workers(queue=QUEUE, name="worker", count=3)

    # block on workers
    await asyncio.gather(*workers.get())


if __name__ == "__main__":
    loop = asyncio.get_event_loop()
    loop.run_until_complete(main())

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

kolona-0.2.0.tar.gz (5.5 kB view hashes)

Uploaded Source

Built Distribution

kolona-0.2.0-py3-none-any.whl (6.0 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page