Ubuntu
celery package

celery 4.0.2-0ubuntu1 source package in Ubuntu

Changelog

celery (4.0.2-0ubuntu1) artful; urgency=medium

  * New upstream release (4.0.2)
    - Refresh patches
    - d/control: add b-d on python3-sphinx-celery (docs),
      python{,3}-pytest (tests), python{,3}-case (tests) and
      python{,3}-eventlet (tests).
    - d/control: build docs with python3 sphinx
    - debian/patches/fix_endless_python3.6_loop_logger_isa.patch: Fix
      endless loop in logger_isa (Python 3.6).  Thanks to George
      Psarakis <email address hidden>.
    - d/: celery 4.0+ has removed deprecated command-line programs:
      + celeryd, celerybeat, celeryd-multi are replaced by 'celery
        worker', 'celery beat' and 'celery multi', respectively
    - d/t/upstream: tests are now run with pytest
  * Drop:
    - Patches that no longer apply:
      + d/p/drop_downgrade.patch
      + d/p/intersphinx.patch
      + d/p/disable_unstable_tests.patch
      + d/p/0006-ci-Tests-passing-on-Python-3.5.patch
      + d/p/0008-Remove-bashisms-from-initd-scripts.patch

 -- Nishanth Aravamudan <email address hidden>  Tue, 13 Jun 2017 15:05:10 -0700

Upload details

Uploaded by:
Nish Aravamudan
Uploaded to:
Artful
Original maintainer:
Ubuntu Developers
Architectures:
all
Section:
python
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section

Builds

Artful: [FULLYBUILT] amd64

Downloads

File Size SHA-256 Checksum
celery_4.0.2.orig.tar.gz 1.3 MiB e3d5a6c56a73ff8f2ddd4d06dc37f4c2afe4bb4da7928b884d0725ea865ef54d
celery_4.0.2-0ubuntu1.debian.tar.xz 25.7 KiB 294201273e8a3658248f516b2c8e2b37cbc5a9dff8e769cb2dcb30c5c8b77e35
celery_4.0.2-0ubuntu1.dsc 2.8 KiB b978355302497efe14aafde79f28bc4e4c05af032bdbc4ce7bf1034b06550844

View changes file

Binary packages built by this source

celeryd: No summary available for celeryd in ubuntu artful.

No description available for celeryd in ubuntu artful.

python-celery: No summary available for python-celery in ubuntu artful.

No description available for python-celery in ubuntu artful.

python-celery-common: async task/job queue based on message passing (common files)

 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.
 .
 The execution units, called tasks, are executed concurrently on one
 or more worker nodes. Tasks can execute asynchronously (in the
 background) or synchronously (wait until ready).
 .
 Celery is written in Python, but the protocol can be implemented
 in any language. It can also operate with other languages using
 webhooks.
 .
 The recommended message broker is RabbitMQ, but limited support for Redis,
 Beanstalk, MongoDB, CouchDB, and databases (using SQLAlchemy or the Django
 ORM) is also available. Celery is easy to integrate with Django, using the
 python-django-celery package.
 .
 This package contains the common files of the library.

python-celery-doc: async task/job queue based on message passing (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.
 .
 The execution units, called tasks, are executed concurrently on one
 or more worker nodes. Tasks can execute asynchronously (in the
 background) or synchronously (wait until ready).
 .
 Celery is written in Python, but the protocol can be implemented
 in any language. It can also operate with other languages using
 webhooks.
 .
 The recommended message broker is RabbitMQ, but limited support for Redis,
 Beanstalk, MongoDB, CouchDB, and databases (using SQLAlchemy or the Django
 ORM) is also available. Celery is easy to integrate with Django, using the
 python-django-celery package.
 .
 This package contains the documentation.

python3-celery: async task/job queue based on message passing (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.
 .
 The execution units, called tasks, are executed concurrently on one
 or more worker nodes. Tasks can execute asynchronously (in the
 background) or synchronously (wait until ready).
 .
 Celery is written in Python, but the protocol can be implemented
 in any language. It can also operate with other languages using
 webhooks.
 .
 The recommended message broker is RabbitMQ, but limited support for Redis,
 Beanstalk, MongoDB, CouchDB, and databases (using SQLAlchemy or the Django
 ORM) is also available. Celery is easy to integrate with Django, using the
 python-django-celery package.
 .
 This package contains the Python 3 version of the library.