Skip to main content

It's a plugin for Muffin framework which provides support for external APIs

Project description

Muffin-Donald – Its a plugin for Muffin framework which provides support for asyncronous tasks

Tests Status PYPI Version Python Versions

Requirements

  • python >= 3.7

Installation

Muffin-Donald should be installed using pip:

pip install muffin-donald

Usage

Initialize and setup the plugin:

import muffin
import muffin_donald

# Create Muffin Application
app = muffin.Application('example')

# Initialize the plugin
# As alternative: tasks = muffin_donald.Plugin(app, **options)
tasks = muffin_donald.Plugin()
donald.setup(app)

And etc

Options

Name

Default value

Desctiption

autostart

True

Auto start tasks workers

fake_mode

False

Run tasks immediately (testing)

num_workers

<CPU_COUNT> - 1

Number of workers

max_tasks_per_worker

100

Maximum concurent tasks per worker

filelock

None

File lock path

loglevel

INFO

Logger Level

queue_exchange

tasks

Tasks queue exchange

queue_name

tasks

Tasks queue name

queue_params

{}

Queue params

You are able to provide the options when you are initiliazing the plugin:

donald.setup(app, num_workers=2)

Or setup it inside Muffin.Application config using the DONALD_ prefix:

DONALD_ROOT_URL = 'https://api.github.com'

Muffin.Application configuration options are case insensitive

Bug tracker

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

Contributing

Development of Muffin-Donald happens at: https://github.com/klen/muffin-donald

Contributors

  • klen (Kirill Klenov)

License

Licensed under a MIT license.

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

muffin-donald-0.2.0.tar.gz (4.9 kB view details)

Uploaded Source

Built Distribution

muffin_donald-0.2.0-py3-none-any.whl (4.7 kB view details)

Uploaded Python 3

File details

Details for the file muffin-donald-0.2.0.tar.gz.

File metadata

  • Download URL: muffin-donald-0.2.0.tar.gz
  • Upload date:
  • Size: 4.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.5.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.1 CPython/3.9.5

File hashes

Hashes for muffin-donald-0.2.0.tar.gz
Algorithm Hash digest
SHA256 3ca8c7714fc0ab6b2409bdb06655e3922561ba7a3c6a0be117ff76e7dbd63895
MD5 802537cb4f2311dd8041c37661efac56
BLAKE2b-256 60ca842a89f6cb34fb22ba4dd42a49f823b2a4d5669e433c6dce3a933c6612d2

See more details on using hashes here.

File details

Details for the file muffin_donald-0.2.0-py3-none-any.whl.

File metadata

  • Download URL: muffin_donald-0.2.0-py3-none-any.whl
  • Upload date:
  • Size: 4.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.5.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.1 CPython/3.9.5

File hashes

Hashes for muffin_donald-0.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 e2d8bc574f2577ee9cc6d3adca3cd3cf46d17f41c651c7ba419662be1cfe5350
MD5 beab237e0ccfbf2df1458001bc5a36e5
BLAKE2b-256 7f528290dc3ee643e2bae28d3537bef986d7aa4518337da86dcce734f636bbbd

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