Skip to main content

Donald is here

Project description

Donald – A simple task engine for Asyncio.

The main goal for Donald to run async/sync code without blocking main loop.

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 3.7+

Installation

Donald should be installed using pip:

pip install donald

Usage

From shell:

$ donald --help

From asynchronous python code:

# Init Donald
donald = Donald(
    # Params (default values)
    # -----------------------

    # Run tasks imediatelly in the same process/thread
    fake_mode=False,

    # Number of workers
    num_workers=multiprocessing.cpu_count() - 1,

    # Maximum concurent tasks per worker
    max_tasks_per_worker=100,

    # Ensure that the Donald starts only once (set to filename to lock)
    filelock=None,

    # logging level
    loglevel='INFO',

    # AMQP params
    queue=False,
    queue_name='donald',
    queue_params={},
)

# Schedule periodic tasks
@donald.schedule(crontab_string | seconds_float | datetime_timedelta, *args, **kwargs)
async def task(*args, **kwargs):
    # ...

# Start the donald
await donald.start()

# ...

# Submit a task to donald
donald.submit(corofunction or function, *args, **kwargs)

# Submit and wait for result
result = await donald.submit(corofunction or function, *args, **kwargs)

# Submit a task to queue
queue.submit(corofunction or function, *args, **kwargs)
await donald.queue.submit(corofunction or function, *args, **kwargs)

# note: queue dont support waiting for results

# ...

# Stop the donald
await donald.stop()

Connect and receive tasks using AMQP

donald = Donald()

await donald.start()
await donald.queue.start()

# ...


# Stop the donald
await donald.queue.stop()
await donald.stop()

Submit tasks to AMQP

# Send task to queue
await donald.queue.submit(<coro or func>, *args, **kwargs)

# ...

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

Contributors

  • klen (Kirill Klenov)

License

Licensed under a BSD 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-0.15.0.tar.gz (10.3 kB view details)

Uploaded Source

Built Distribution

donald-0.15.0-py3-none-any.whl (10.6 kB view details)

Uploaded Python 3

File details

Details for the file donald-0.15.0.tar.gz.

File metadata

  • Download URL: donald-0.15.0.tar.gz
  • Upload date:
  • Size: 10.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.14

File hashes

Hashes for donald-0.15.0.tar.gz
Algorithm Hash digest
SHA256 c719c0aec704969de004772ed2a0b7030aaf8d9be47dcec33664ea8829c9725f
MD5 d3451182ad1cb4846ac3b25171af7c1a
BLAKE2b-256 e8410467365e7b7345c69ab6f5439701794cdd1d8a925378988ffbe441773f7b

See more details on using hashes here.

File details

Details for the file donald-0.15.0-py3-none-any.whl.

File metadata

  • Download URL: donald-0.15.0-py3-none-any.whl
  • Upload date:
  • Size: 10.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.14

File hashes

Hashes for donald-0.15.0-py3-none-any.whl
Algorithm Hash digest
SHA256 187c33bac6f25b9fb48aba02a1e1015f2046ccd63e9031e7c7f28fd02c6d11dc
MD5 0abb815aecaa262da53a6d2487d3cbf0
BLAKE2b-256 ffc52a92a364cbe89a4f74f9aec28edbd854156d4035b9a28e59b9b021e64d0f

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