Django Q ======== A multiprocessing task queue for Django --------------------------------------- |image0| Features ~~~~~~~~ - Multiprocessing worker pool - Encrypted and compressed task packages - Scheduled tasks - Result hooks - Failure and result database - PaaS compatible with multiple instances - Django Admin integration - Multi cluster monitor Requirements ~~~~~~~~~~~~ - `Redis-py `__ - `Django `__ > = 1.7 - `Django-picklefield `__ - `Arrow `__ - `Blessed `__ Tested with: Python 2.7, 3.4. Django 1.7.8, 1.8.2\* \*\ *Django Q is currently in Alpha and as such not safe for production, yet.* Installation ~~~~~~~~~~~~ - Install the latest version with pip: ``pip install django-q`` - Add `django_q` to `INSTALLED_APPS` in your settings.py: .. code:: python INSTALLED_APPS = ( # other apps 'django_q', ) - Run ``python manage.py migrate`` to create the database tables - Make sure you have a `Redis `__ server running somewhere Configuration ~~~~~~~~~~~~~ All configuration settings are optional. e.g: .. code:: python # settings.py Q_CLUSTER = { 'name': 'myproject', 'workers': 8, 'recycle': 500, 'compress': True, 'save_limit': 250, 'label': 'Django Q', 'redis': { 'host': '127.0.0.1', 'port': 6379, 'db': 0, } } - **name** Used to differentiate between projects using the same Redis server\* *['default']* - **workers** The number of workers to use in the cluster *[CPU count]* - **recycle** The number of tasks a worker will process before respawning. Used to release resources. *[500]* - **compress** Compress task packages to Redis. Useful for large payloads. *[False]* - **save\_limit** Limits the amount of successful tasks saved to Django. Set to 0 for unlimited. Set to -1 for no success storage at all. Failures are always saved. *[250]* - **label** The label used for the Django Admin page *['Django Q']* - **redis** Connection settings for Redis. Follows standard Redis-Py syntax. *[localhost]* *[defaults]* \*\ *Django Q uses your SECRET\_KEY to encrypt task packages and prevent task crossover* Management Commands ~~~~~~~~~~~~~~~~~~ qcluster ^^^^^^^^ Start a cluster with: ``python manage.py qcluster`` qmonitor ^^^^^^^^ Monitor your clusters with ``python manage.py qmonitor`` Creating Tasks ~~~~~~~~~~~~~~ Async ^^^^^ Use async from your code to quickly offload tasks: .. code:: python async(func,*args,hook=None,**kwargs) .. code:: python from django_q import async, result # create the task async('math.copysign', 2, -2) # or with import and storing the id 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.objects.create(func='math.copysign', hook='hooks.print_result', args='2,-2', schedule_type=Schedule.DAILY ) Todo ---- - Write sphinx documentation - Better tests and coverage - Get out of Alpha - Less dependencies? Acknowledgements ---------------- - Django Q was inspired by working with `Django-RQ `__ and `RQ `__ - Human readable hashes by `HumanHash `__ .. |image0| image:: https://travis-ci.org/Koed00/django-q.svg?branch=master :target: https://travis-ci.org/Koed00/django-q