Skip to main content

Task queue based on Django models.

Project description

ModelQueue: Task Queue Based on Django Models
=============================================

`ModelQueue`_ is an Apache2 licenced task queue based on Django models.

.. warning::

What you see here is a work-in-progress!

Here's what it looks like:

::

# yourapp/models.py

import modelqueue
from django.db import models

class Report(models.Model):
upload = models.FileField()
status = modelqueue.StatusField(
# ^-- Add status field.
db_index=True,
# ^-- Add index for faster queries.
default=modelqueue.waiting,
# ^-- Set default state to WAITING.
)

# yourapp/management/commands/process_report_uploads.py

import modelqueue, time
from django.core.management.base import BaseCommand

class Command(BaseCommand):

def handle(self, *args, **options):
while True:
modelqueue.run(
Report.objects.all(),
# ^-- Queryset of models to process.
'status',
# ^-- Field name for model queue.
self.process,
# ^-- Callable to process model.
)
time.sleep(0.001)
# ^-- Bring your own parallelism/concurrency.

def process(self, report):
pass # Process report uploads.

ModelQueue is a hazardous project. It takes a bad idea and makes it easy and
effective. You may come to regret using your database as a task queue but it
won't be today!

Testimonials
------------

"I didn't design relational database systems for this." ~ `Edgar F. Codd`_

"Well at least you're using transactions." ~ `Jim Gray`_

"You have successfully ignored most of what's important in queueing theory." ~
`Agner Krarup Erlang`_

.. _`Edgar F. Codd`: https://en.wikipedia.org/wiki/Edgar_F._Codd
.. _`Jim Gray`: https://en.wikipedia.org/wiki/Jim_Gray_(computer_scientist)
.. _`Agner Krarup Erlang`: https://en.wikipedia.org/wiki/Agner_Krarup_Erlang

Does your company or website use `ModelQueue`_? Send us a `message
<contact@grantjenks.com>`_ and let us know.

Features
--------

- Pure-Python
- Developed on Python 3.6
- Tested on Django 1.11
- Tested on CPython 2.7, 3.4, 3.5, 3.6, PyPy and PyPy3
- Tested on Linux, Mac OS X, and Windows
- Tested using Travis CI and AppVeyor CI

.. image:: https://api.travis-ci.org/grantjenks/django-modelqueue.svg?branch=master
:target: http://www.grantjenks.com/docs/modelqueue/

.. image:: https://ci.appveyor.com/api/projects/status/github/grantjenks/django-modelqueue?branch=master&svg=true
:target: http://www.grantjenks.com/docs/modelqueue/

.. todo::

- Fully documented
- Performance matters
- Benchmark comparisons
- 100% test coverage
- Hours of stress testing
- Tested on Django 2.0

Quickstart
----------

Installing ModelQueue is simple with `pip
<https://pypi-hypernode.com/pypi/pip>`_::

$ pip install modelqueue

You can access documentation in the interpreter with Python's built-in help
function::

>>> import modelqueue
>>> help(modelqueue)
>>> help(modelqueue.StatusField)
>>> help(modelqueue.run)

User Guide
----------

For those wanting more details, this part of the documentation describes
introduction, benchmarks, development, and API.

.. todo::

* `ModelQueue Tutorial`_
* `ModelQueue Benchmarks`_
* `ModelQueue API Reference`_
* `ModelQueue Development`_

.. _`ModelQueue Tutorial`: http://www.grantjenks.com/docs/modelqueue/tutorial.html
.. _`ModelQueue Benchmarks`: http://www.grantjenks.com/docs/modelqueue/benchmarks.html
.. _`ModelQueue API Reference`: http://www.grantjenks.com/docs/modelqueue/api.html
.. _`ModelQueue Development`: http://www.grantjenks.com/docs/modelqueue/development.html

Reference and Indices
---------------------

* `ModelQueue Documentation`_
* `ModelQueue at PyPI`_
* `ModelQueue at GitHub`_
* `ModelQueue Issue Tracker`_

.. _`ModelQueue Documentation`: http://www.grantjenks.com/docs/modelqueue/
.. _`ModelQueue at PyPI`: https://pypi-hypernode.com/pypi/modelqueue/
.. _`ModelQueue at GitHub`: https://github.com/grantjenks/django-modelqueue/
.. _`ModelQueue Issue Tracker`: https://github.com/grantjenks/django-modelqueue/issues/

ModelQueue License
------------------

Copyright 2018 Grant Jenks

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.

.. _`ModelQueue`: http://www.grantjenks.com/docs/modelqueue/


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

modelqueue-0.0.4.tar.gz (5.5 kB view details)

Uploaded Source

Built Distribution

modelqueue-0.0.4-py2.py3-none-any.whl (7.9 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file modelqueue-0.0.4.tar.gz.

File metadata

  • Download URL: modelqueue-0.0.4.tar.gz
  • Upload date:
  • Size: 5.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for modelqueue-0.0.4.tar.gz
Algorithm Hash digest
SHA256 08b3ce53d2120fbb9adae0c9fe08cb256b248ff2510d64d288d6e9f756576d25
MD5 a95802477cb860207323922068169e3e
BLAKE2b-256 929ee3b3839a6b0528a9fc6dbdcae11af1abba2bed70eb06e53fefb3e80cd62d

See more details on using hashes here.

File details

Details for the file modelqueue-0.0.4-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for modelqueue-0.0.4-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 5fae6e845aa9650c931a93603ed45ba7b90274ea4cbd2b761215f94a9902035b
MD5 263aa2fa091d6396a094a8ae81129dc3
BLAKE2b-256 4baa597586db2d111128cee5f8f516d0fcd8f6526f222aa0bf42781cd542db2b

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