django-q


Namedjango-q JSON
Version 1.3.9 PyPI version JSON
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home_pagehttps://django-q.readthedocs.org
SummaryA multiprocessing distributed task queue for Django
upload_time2021-06-27 12:04:51
maintainerIlan Steemers
docs_urlNone
authorIlan Steemers
requires_python>=3.6.2,<4
licenseMIT
keywords django distributed multiprocessing queue scheduler
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            .. image:: docs/_static/logo.png
    :align: center
    :alt: Q logo
    :target: https://django-q.readthedocs.org/

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

|image0| |image1| |docs| |image2|

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>`__

.. |image0| image:: https://github.com/koed00/django-q/workflows/Tests/badge.svg?branche=master
   :target: https://github.com/Koed00/django-q/actions?query=workflow%3Atests
.. |image1| image:: http://codecov.io/github/Koed00/django-q/coverage.svg?branch=master
   :target: http://codecov.io/github/Koed00/django-q?branch=master
.. |image2| image:: http://badges.gitter.im/Join%20Chat.svg
   :target: https://gitter.im/Koed00/django-q
.. |docs| image:: https://readthedocs.org/projects/docs/badge/?version=latest
    :alt: Documentation Status
    :scale: 100
    :target: https://django-q.readthedocs.org/

            

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    "description": ".. image:: docs/_static/logo.png\n    :align: center\n    :alt: Q logo\n    :target: https://django-q.readthedocs.org/\n\nA multiprocessing distributed task queue for Django\n---------------------------------------------------\n\n|image0| |image1| |docs| |image2|\n\nFeatures\n~~~~~~~~\n\n-  Multiprocessing worker pool\n-  Asynchronous tasks\n-  Scheduled, cron and repeated tasks\n-  Signed and compressed packages\n-  Failure and success database or cache\n-  Result hooks, groups and chains\n-  Django Admin integration\n-  PaaS compatible with multiple instances\n-  Multi cluster monitor\n-  Redis, Disque, IronMQ, SQS, MongoDB or ORM\n-  Rollbar and Sentry support\n\nRequirements\n~~~~~~~~~~~~\n\n-  `Django <https://www.djangoproject.com>`__ > = 2.2\n-  `Django-picklefield <https://github.com/gintas/django-picklefield>`__\n-  `Arrow <https://github.com/crsmithdev/arrow>`__\n-  `Blessed <https://github.com/jquast/blessed>`__\n\nTested with: Python 3.7, 3.8, 3.9 Django 2.2.X and 3.2.X\n\n.. warning:: Since Python 3.7 `async` became a reserved keyword and was refactored to `async_task`\n\nBrokers\n~~~~~~~\n- `Redis <https://django-q.readthedocs.org/en/latest/brokers.html#redis>`__\n- `Disque <https://django-q.readthedocs.org/en/latest/brokers.html#disque>`__\n- `IronMQ <https://django-q.readthedocs.org/en/latest/brokers.html#ironmq>`__\n- `Amazon SQS <https://django-q.readthedocs.org/en/latest/brokers.html#amazon-sqs>`__\n- `MongoDB <https://django-q.readthedocs.org/en/latest/brokers.html#mongodb>`__\n- `Django ORM <https://django-q.readthedocs.org/en/latest/brokers.html#django-orm>`__\n\nInstallation\n~~~~~~~~~~~~\n\n-  Install the latest version with pip::\n\n    $ pip install django-q\n\n\n-  Add `django_q` to your `INSTALLED_APPS` in your projects `settings.py`::\n\n       INSTALLED_APPS = (\n           # other apps\n           'django_q',\n       )\n\n-  Run Django migrations to create the database tables::\n\n    $ python manage.py migrate\n\n-  Choose a message `broker <https://django-q.readthedocs.org/en/latest/brokers.html>`__ , configure and install the appropriate client library.\n\nRead the full documentation at `https://django-q.readthedocs.org <https://django-q.readthedocs.org>`__\n\n\nConfiguration\n~~~~~~~~~~~~~\n\nAll configuration settings are optional. e.g:\n\n.. code:: python\n\n    # settings.py example\n    Q_CLUSTER = {\n        'name': 'myproject',\n        'workers': 8,\n        'recycle': 500,\n        'timeout': 60,\n        'compress': True,\n        'cpu_affinity': 1,\n        'save_limit': 250,\n        'queue_limit': 500,\n        'label': 'Django Q',\n        'redis': {\n            'host': '127.0.0.1',\n            'port': 6379,\n            'db': 0, }\n    }\n\nFor full configuration options, see the `configuration documentation <https://django-q.readthedocs.org/en/latest/configure.html>`__.\n\nManagement Commands\n~~~~~~~~~~~~~~~~~~~\n\nStart a cluster with::\n\n    $ python manage.py qcluster\n\nMonitor your clusters with::\n\n    $ python manage.py qmonitor\n\nMonitor your clusters' memory usage with::\n\n    $ python manage.py qmemory\n\nCheck overall statistics with::\n\n    $ python manage.py qinfo\n\nCreating Tasks\n~~~~~~~~~~~~~~\n\nUse `async_task` from your code to quickly offload tasks:\n\n.. code:: python\n\n    from django_q.tasks import async_task, result\n\n    # create the task\n    async_task('math.copysign', 2, -2)\n\n    # or with a reference\n    import math.copysign\n\n    task_id = async_task(copysign, 2, -2)\n\n    # get the result\n    task_result = result(task_id)\n\n    # result returns None if the task has not been executed yet\n    # you can wait for it\n    task_result = result(task_id, 200)\n\n    # but in most cases you will want to use a hook:\n\n    async_task('math.modf', 2.5, hook='hooks.print_result')\n\n    # hooks.py\n    def print_result(task):\n        print(task.result)\n\nFor more info see `Tasks <https://django-q.readthedocs.org/en/latest/tasks.html>`__\n\n\nSchedule\n~~~~~~~~\n\nSchedules are regular Django models. You can manage them through the\nAdmin page or directly from your code:\n\n.. code:: python\n\n    # Use the schedule function\n    from django_q.tasks import schedule\n\n    schedule('math.copysign',\n             2, -2,\n             hook='hooks.print_result',\n             schedule_type=Schedule.DAILY)\n\n    # Or create the object directly\n    from django_q.models import Schedule\n\n    Schedule.objects.create(func='math.copysign',\n                            hook='hooks.print_result',\n                            args='2,-2',\n                            schedule_type=Schedule.DAILY\n                            )\n\n    # Run a task every 5 minutes, starting at 6 today\n    # for 2 hours\n    import arrow\n\n    schedule('math.hypot',\n             3, 4,\n             schedule_type=Schedule.MINUTES,\n             minutes=5,\n             repeats=24,\n             next_run=arrow.utcnow().replace(hour=18, minute=0))\n\n    # Use a cron expression\n    schedule('math.hypot',\n             3, 4,\n             schedule_type=Schedule.CRON,\n             cron = '0 22 * * 1-5')\n\nFor more info check the `Schedules <https://django-q.readthedocs.org/en/latest/schedules.html>`__ documentation.\n\n\nTesting\n~~~~~~~\n\nTo run the tests you will need the following in addition to install requirements:\n\n* `py.test <http://pytest.org/latest/>`__\n* `pytest-django <https://github.com/pytest-dev/pytest-django>`__\n* Disque from https://github.com/antirez/disque.git\n* Redis\n* MongoDB\n\nOr you can use the included Docker Compose file.\n\nThe following commands can be used to run the tests:\n\n.. code:: bash\n\n    # Create virtual environment\n    python -m venv venv\n\n    # Install requirements\n    venv/bin/pip install -r requirements.txt\n\n    # Install test dependencies\n    venv/bin/pip install pytest pytest-django\n\n    # Install django-q\n    venv/bin/python setup.py develop\n\n    # Run required services (you need to have docker-compose installed)\n    docker-compose -f test-services-docker-compose.yaml up -d\n\n    # Run tests\n    venv/bin/pytest\n\n    # Stop the services required by tests (when you no longer plan to run tests)\n    docker-compose -f test-services-docker-compose.yaml down\n\nLocale\n~~~~~~\n\nCurrently available in English, German and French.\nTranslation pull requests are always welcome.\n\nTodo\n~~~~\n\n-  Better tests and coverage\n-  Less dependencies?\n\nAcknowledgements\n~~~~~~~~~~~~~~~~\n\n-  Django Q was inspired by working with\n   `Django-RQ <https://github.com/ui/django-rq>`__ and\n   `RQ <https://github.com/ui/django-rq>`__\n-  Human readable hashes by\n   `HumanHash <https://github.com/zacharyvoase/humanhash>`__\n-  Redditors feedback at `r/django <https://www.reddit.com/r/django/>`__\n\n-  JetBrains for their `Open Source Support Program <https://www.jetbrains.com/community/opensource>`__\n\n.. |image0| image:: https://github.com/koed00/django-q/workflows/Tests/badge.svg?branche=master\n   :target: https://github.com/Koed00/django-q/actions?query=workflow%3Atests\n.. |image1| image:: http://codecov.io/github/Koed00/django-q/coverage.svg?branch=master\n   :target: http://codecov.io/github/Koed00/django-q?branch=master\n.. |image2| image:: http://badges.gitter.im/Join%20Chat.svg\n   :target: https://gitter.im/Koed00/django-q\n.. |docs| image:: https://readthedocs.org/projects/docs/badge/?version=latest\n    :alt: Documentation Status\n    :scale: 100\n    :target: https://django-q.readthedocs.org/\n",
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