django-q 0.3.2

A multiprocessing task queue for Django

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A multiprocessing task queue for Django
---------------------------------------

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Features
~~~~~~~~

- Multiprocessing worker pool
- Asynchronous tasks
- Scheduled and repeated tasks
- Encrypted and compressed packages
- Failure and success database
- Result hooks
- Django Admin integration
- PaaS compatible with multiple instances
- Multi cluster monitor
- Redis
- Python 2 and 3

Requirements
~~~~~~~~~~~~

- `Redis-py <https://github.com/andymccurdy/redis-py>`__
- `Django <https://www.djangoproject.com>`__ > = 1.7
- `Django-picklefield <https://github.com/gintas/django-picklefield>`__
- `Arrow <https://github.com/crsmithdev/arrow>`__
- `Blessed <https://github.com/jquast/blessed>`__

Tested with: Python 2.7 & 3.4. Django 1.7.9 & 1.8.3


Installation
~~~~~~~~~~~~

- Install the latest version with pip::

$ pip install django-q


- Add `django_q` to your `INSTALLED_APPS` in your projects `settings.py`::

INSTALLED_APPS = (
# other apps
'django_q',
)

- Run Django migrations to create the database tables::

$ python manage.py migrate

- Make sure you have a `Redis <http://redis.io/>`__ server running
somewhere

Read the more complete documentation at `http://django-q.readthedocs.org <http://django-q.readthedocs.org>`__


Configuration
~~~~~~~~~~~~~

All configuration settings are optional. e.g:

.. code:: python

# settings.py
Q_CLUSTER = {
'name': 'myproject',
'workers': 8,
'recycle': 500,
'timeout': 60,
'compress': True,
'save_limit': 250,
'label': 'Django Q',
'redis': {
'host': '127.0.0.1',
'port': 6379,
'db': 0, }
}

For full configuration options, see the `configuration documentation <http://django-q.readthedocs.org/en/latest/install.html#configuration>`__.


If you are using `django-redis <https://github.com/niwinz/django-redis>`__ , you can `configure <https://django-q.readthedocs.org/en/latest/install.html#django-redis>`__ Django Q to use its connection pool.

Management Commands
~~~~~~~~~~~~~~~~~~~

Start a cluster with::

$ python manage.py qcluster

Monitor your clusters with::

$ python manage.py qmonitor

Creating Tasks
~~~~~~~~~~~~~~

Use `async` from your code to quickly offload tasks:

.. code:: python

from django_q import async, result

# create the task
async('math.copysign', 2, -2)

# or with a reference
import math.copysign

task_id = async(copysign, 2, -2)

# get the result
task_result = result(task_id)

# result returns None if the task has not been executed yet
# so in most cases you will want to use a hook:

async('math.modf', 2.5, hook='hooks.print_result')

# hooks.py
def print_result(task):
print(task.result)


Schedule
~~~~~~~~

Schedules are regular Django models. You can manage them through the
Admin page or directly from your code:

.. code:: python

from django_q import Schedule, schedule

# Use the schedule function

schedule('math.copysign',
2, -2,
hook='hooks.print_result',
schedule_type=Schedule.DAILY)

# Or create the object directly

Schedule.objects.create(func='math.copysign',
hook='hooks.print_result',
args='2,-2',
schedule_type=Schedule.DAILY
)


Testing
~~~~~~~

To run the tests you will need `py.test <http://pytest.org/latest/>`__ and `pytest-django <https://github.com/pytest-dev/pytest-django>`__


Todo
~~~~

- Write more sphinx `documentation <https://django-q.readthedocs.org>`__
- Better tests and coverage
- Get out of Alpha
- Less dependencies?

Acknowledgements
~~~~~~~~~~~~~~~~

- Django Q was inspired by working with
`Django-RQ <https://github.com/ui/django-rq>`__ and
`RQ <https://github.com/ui/django-rq>`__
- Human readable hashes by
`HumanHash <https://github.com/zacharyvoase/humanhash>`__

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