Source: django-celery
Maintainer: Debian Python Modules Team <python-modules-team@lists.alioth.debian.org>
Uploaders: Michael Fladischer <fladi@debian.org>,
           Brian May <bam@debian.org>
Section: python
Priority: optional
Build-Depends: debhelper (>= 9),
               dh-python,
               docbook-to-man,
               python-all (>= 2.7),
               python-anyjson,
               python-celery (>= 3.1.1),
               python-django,
               python-django-nose,
               python-mock,
               python-setuptools,
               python-sphinx (>= 1.0.7+dfsg),
               python-sphinxcontrib.issuetracker,
               python-tz,
               python-unittest2,
               python3-all,
               python3-anyjson,
               python3-celery,
               python3-django,
               python3-django-nose,
               python3-mock,
               python3-setuptools,
               python3-tz
Standards-Version: 3.9.6
Vcs-Browser: https://anonscm.debian.org/cgit/python-modules/packages/django-celery.git
Vcs-Git: git://anonscm.debian.org/python-modules/packages/django-celery.git
Homepage: http://celeryproject.org/
X-Python-Version: >= 2.7
X-Python3-Version: >= 3.3

Package: python-django-celery
Architecture: all
Depends: python-anyjson,
         python-celery (>= 3.1.1),
         python-django,
         python-pkg-resources,
         python-tz,
         ${misc:Depends},
         ${python:Depends}
Description: Celery integration for Django
 Celery is an open source asynchronous task queue/job queue based on
 distributed message passing. It is focused on real-time operation,
 but supports scheduling as well.
 .
 django-celery provides Celery integration for Django using the Django ORM and
 cache backend for storing results, autodiscovery of task modules for
 applications listed in INSTALLED_APPS, and integration of task monitoring
 through the Django admin interface.
 .
 Using it in a Django project provides a way to distribute asynchronous tasks
 like sending emails or batch-processing larger datasets to one or more
 separate worker nodes.

Package: python3-django-celery
Architecture: all
Depends: python3-anyjson,
         python3-celery,
         python3-django,
         python3-pkg-resources,
         python3-tz,
         ${misc:Depends},
         ${python3:Depends}
Description: Celery integration for Django (Python3 version)
 Celery is an open source asynchronous task queue/job queue based on
 distributed message passing. It is focused on real-time operation,
 but supports scheduling as well.
 .
 django-celery provides Celery integration for Django using the Django ORM and
 cache backend for storing results, autodiscovery of task modules for
 applications listed in INSTALLED_APPS, and integration of task monitoring
 through the Django admin interface.
 .
 Using it in a Django project provides a way to distribute asynchronous tasks
 like sending emails or batch-processing larger datasets to one or more
 separate worker nodes.
 .
 This package contains the Python 3 version of the library.

Package: python-django-celery-doc
Architecture: all
Section: doc
Depends: ${misc:Depends},
         ${sphinxdoc:Depends}
Description: Celery integration for Django (Documentation)
 Celery is an open source asynchronous task queue/job queue based on
 distributed message passing. It is focused on real-time operation,
 but supports scheduling as well.
 .
 django-celery provides Celery integration for Django using the Django ORM and
 cache backend for storing results, autodiscovery of task modules for
 applications listed in INSTALLED_APPS, and integration of task monitoring
 through the Django admin interface.
 .
 Using it in a Django project provides a way to distribute asynchronous tasks
 like sending emails or batch-processing larger datasets to one or more
 separate worker nodes.
 .
 This package contains the documentation.
