django-q 1.3.9

A multiprocessing distributed task queue for Django

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

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Features
~~~~~~~~

- Multiprocessing worker pool
- Asynchronous tasks
- Scheduled, cron and repeated tasks
- Signed and compressed packages
- Failure and success database or cache
- Result hooks, groups and chains
- Django Admin integration
- PaaS compatible with multiple instances
- Multi cluster monitor
- Redis, Disque, IronMQ, SQS, MongoDB or ORM
- Rollbar and Sentry support

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

- `Django <https://www.djangoproject.com>`__ > = 2.2
- `Django-picklefield <https://github.com/gintas/django-picklefield>`__
- `Arrow <https://github.com/crsmithdev/arrow>`__
- `Blessed <https://github.com/jquast/blessed>`__

Tested with: Python 3.7, 3.8, 3.9 Django 2.2.X and 3.2.X

.. warning:: Since Python 3.7 `async` became a reserved keyword and was refactored to `async_task`

Brokers
~~~~~~~
- `Redis <https://django-q.readthedocs.org/en/latest/brokers.html#redis>`__
- `Disque <https://django-q.readthedocs.org/en/latest/brokers.html#disque>`__
- `IronMQ <https://django-q.readthedocs.org/en/latest/brokers.html#ironmq>`__
- `Amazon SQS <https://django-q.readthedocs.org/en/latest/brokers.html#amazon-sqs>`__
- `MongoDB <https://django-q.readthedocs.org/en/latest/brokers.html#mongodb>`__
- `Django ORM <https://django-q.readthedocs.org/en/latest/brokers.html#django-orm>`__

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

- Choose a message `broker <https://django-q.readthedocs.org/en/latest/brokers.html>`__ , configure and install the appropriate client library.

Read the full documentation at `https://django-q.readthedocs.org <https://django-q.readthedocs.org>`__


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

All configuration settings are optional. e.g:

.. code:: python

# settings.py example
Q_CLUSTER = {
'name': 'myproject',
'workers': 8,
'recycle': 500,
'timeout': 60,
'compress': True,
'cpu_affinity': 1,
'save_limit': 250,
'queue_limit': 500,
'label': 'Django Q',
'redis': {
'host': '127.0.0.1',
'port': 6379,
'db': 0, }
}

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

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

Start a cluster with::

$ python manage.py qcluster

Monitor your clusters with::

$ python manage.py qmonitor

Monitor your clusters' memory usage with::

$ python manage.py qmemory

Check overall statistics with::

$ python manage.py qinfo

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

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

.. code:: python

from django_q.tasks import async_task, result

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

# or with a reference
import math.copysign

task_id = async_task(copysign, 2, -2)

# get the result
task_result = result(task_id)

# result returns None if the task has not been executed yet
# you can wait for it
task_result = result(task_id, 200)

# but in most cases you will want to use a hook:

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

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

For more info see `Tasks <https://django-q.readthedocs.org/en/latest/tasks.html>`__


Schedule
~~~~~~~~

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

.. code:: python

# Use the schedule function
from django_q.tasks import schedule

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

# Or create the object directly
from django_q.models import Schedule

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

# Run a task every 5 minutes, starting at 6 today
# for 2 hours
import arrow

schedule('math.hypot',
3, 4,
schedule_type=Schedule.MINUTES,
minutes=5,
repeats=24,
next_run=arrow.utcnow().replace(hour=18, minute=0))

# Use a cron expression
schedule('math.hypot',
3, 4,
schedule_type=Schedule.CRON,
cron = '0 22 * * 1-5')

For more info check the `Schedules <https://django-q.readthedocs.org/en/latest/schedules.html>`__ documentation.


Testing
~~~~~~~

To run the tests you will need the following in addition to install requirements:

* `py.test <http://pytest.org/latest/>`__
* `pytest-django <https://github.com/pytest-dev/pytest-django>`__
* Disque from https://github.com/antirez/disque.git
* Redis
* MongoDB

Or you can use the included Docker Compose file.

The following commands can be used to run the tests:

.. code:: bash

# Create virtual environment
python -m venv venv

# Install requirements
venv/bin/pip install -r requirements.txt

# Install test dependencies
venv/bin/pip install pytest pytest-django

# Install django-q
venv/bin/python setup.py develop

# Run required services (you need to have docker-compose installed)
docker-compose -f test-services-docker-compose.yaml up -d

# Run tests
venv/bin/pytest

# Stop the services required by tests (when you no longer plan to run tests)
docker-compose -f test-services-docker-compose.yaml down

Locale
~~~~~~

Currently available in English, German and French.
Translation pull requests are always welcome.

Todo
~~~~

- Better tests and coverage
- 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>`__
- Redditors feedback at `r/django <https://www.reddit.com/r/django/>`__

- JetBrains for their `Open Source Support Program <https://www.jetbrains.com/community/opensource>`__

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