Skip to main content

Task manager for asyncio

Project description

Donald – A fast and simple tasks manager for Asyncio.

Donald supports synchronous and asynchronous paradigms. The package is running coroutines and functions in multi loops. Donald could run periodic tasks and listen AMQP queues.

Tests Status PYPI Version Python Versions

Requirements

  • python 3.8+

Installation

Donald should be installed using pip:

pip install donald

With redis support:

pip install donald[redis]

Quick Start

Init the tasks manager:

# Init Donald
manager = Donald(

    # Params (default values)
    # -----------------------

    # Setup logging
    log_level=logging.INFO,
    log_config=None,

    # Choose a backend (memory|redis|amqp)
    # memory - is only recommended for testing/local development
    backend='memory',

    # Backend connection params
    # redis: {'url': 'redis://localhost:6379/0', 'channel': 'donald'}
    # amqp: {'url': 'amqp://guest:guest@localhost:5672/', 'queue': 'donald', 'exchange': 'donald'}
    backend_params={},

    # Tasks worker params
    worker_params={
      # Max tasks in work
      'max_tasks': 0,

      # Tasks default params (delay, timeout)
      'task_defaults': {},

      # A awaitable function to run on worker start
      'on_start': None

      # A awaitable function to run on worker stop
      'on_stop': None

      # A awaitable function to run on worker error
      'on_error': None

    },
)

# Wrap a function to task
@manager.task
async def myfunc(*args, **kwargs):
    # Do some job here

# Start the manager somewhere (on app start for example)
await manager.start()

# you may run a worker in the same process
# not recommended for production
worker = manager.create_worker()
worker.start()

# ...

# Submit the task to workers
myfunc.submit(*args, **kwargs)

# ...

# Stop the manager when you need
await worker.stop()
await manager.stop()

Schedule tasks

@tasks.schedule('*/5 * * * *')  # Supports cron expressions, number of seconds, timedelta
@tasks.task
async def myfunc(*args, **kwargs):
    """Run every 5 minutes"""
    # Do some job here


# you may run a scheduler in the same process
# not recommended for production
manager.scheduler.start()

# ...

# Stop the scheduler before stop the tasks manager
manager.scheduler.stop()

Run in production

Create a tasks manager somewhere in your app tasks.py:

manager = Donald(backend='amqp')

# Setup your tasks and schedules.
# See the Quick Start section for details.

Run a worker in a separate process:

$ donald -M tasks.manager worker

Run a scheduler (if you need) in a separate process:

$ donald -M tasks.manager scheduler

Bug tracker

If you have any suggestions, bug reports or annoyances please report them to the issue tracker at https://github.com/klen/donald/issues

Contributing

Development of starter happens at github: https://github.com/klen/donald

License

Licensed under a MIT license.

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

donald-0.32.3.tar.gz (13.1 kB view details)

Uploaded Source

Built Distribution

donald-0.32.3-py3-none-any.whl (12.5 kB view details)

Uploaded Python 3

File details

Details for the file donald-0.32.3.tar.gz.

File metadata

  • Download URL: donald-0.32.3.tar.gz
  • Upload date:
  • Size: 13.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for donald-0.32.3.tar.gz
Algorithm Hash digest
SHA256 500b87e98453099771cbca6e02c253f93631c7e2f71ba5777d35422bf6d19ae4
MD5 830d80772f7456fec67fc555507d0510
BLAKE2b-256 d2e644aef40d40ed1b8a7a4a04c562a242a600e005fe84541c0e43f1349dd332

See more details on using hashes here.

File details

Details for the file donald-0.32.3-py3-none-any.whl.

File metadata

  • Download URL: donald-0.32.3-py3-none-any.whl
  • Upload date:
  • Size: 12.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for donald-0.32.3-py3-none-any.whl
Algorithm Hash digest
SHA256 50a713b032b770fedad6b97accc79761a3226e6199d043a1378ddf7ce03b5476
MD5 dcf40b49453199c446130cc005c0a256
BLAKE2b-256 eb0810904c713655263b0e989e0b5b751457141afd4e57e4b2e5da49604f267d

See more details on using hashes here.

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