bucket_A2/python-celery

   1 # Buildsheet autogenerated by ravenadm tool -- Do not edit.
   2
   3 NAMEBASE=               python-celery
   4 VERSION=                4.3.0
   5 KEYWORDS=               python devel
   6 VARIANTS=               py27 py38 py37
   7 SDESC[py37]=            Distributed Task Queue (PY 37)
   8 SDESC[py38]=            Distributed Task Queue (PY 38)
   9 SDESC[py27]=            Distributed Task Queue (PY 27)
  10 HOMEPAGE=               http://celeryproject.org
  11 CONTACT=                Python_Automaton[python@ironwolf.systems]
  12
  13 DOWNLOAD_GROUPS=        main
  14 SITES[main]=            PYPI/c/celery
  15 DISTFILE[1]=            celery-4.3.0.tar.gz:main
  16 DF_INDEX=               1
  17 SPKGS[py37]=            single
  18 SPKGS[py38]=            single
  19 SPKGS[py27]=            single
  20
  21 OPTIONS_AVAILABLE=      PY27 PY38 PY37
  22 OPTIONS_STANDARD=       none
  23 VOPTS[py37]=            PY27=OFF PY38=OFF PY37=ON
  24 VOPTS[py38]=            PY27=OFF PY38=ON PY37=OFF
  25 VOPTS[py27]=            PY27=ON PY38=OFF PY37=OFF
  26
  27 DISTNAME=               celery-4.3.0
  28
  29 GENERATED=              yes
  30
  31 INVALID_RPATH=          yes
  32
  33 [PY37].BUILDRUN_DEPENDS_ON=             python-pytz:single:py37
  34                                         python-billiard:single:py37
  35                                         python-kombu:single:py37
  36                                         python-vine:single:py37
  37 [PY37].USES_ON=                         python:py37
  38
  39 [PY38].BUILDRUN_DEPENDS_ON=             python-pytz:single:py38
  40                                         python-billiard:single:py38
  41                                         python-kombu:single:py38
  42                                         python-vine:single:py38
  43 [PY38].USES_ON=                         python:py38
  44
  45 [PY27].BUILDRUN_DEPENDS_ON=             python-pytz:single:py27
  46                                         python-billiard:single:py27
  47                                         python-kombu:single:py27
  48                                         python-vine:single:py27
  49 [PY27].USES_ON=                         python:py27
  50
  51 [FILE:3440:descriptions/desc.single]
  52 .. image::
  53 http://docs.celeryproject.org/en/latest/_images/celery-banner-small.png
  54
  55 |build-status| |coverage| |license| |wheel| |pyversion| |pyimp|
  56 |ocbackerbadge| |ocsponsorbadge|
  57
  58 :Version: 4.3.0 (rhubarb)
  59 :Web: http://celeryproject.org/
  60 :Download: https://pypi.org/project/celery/
  61 :Source: https://github.com/celery/celery/
  62 :Keywords: task, queue, job, async, rabbitmq, amqp, redis,
  63   python, distributed, actors
  64
  65 Donations
  66 =========
  67
  68 This project relies on your generous donations.
  69
  70 If you are using Celery to create a commercial product, please consider
  71 becoming our `backer`_ or our `sponsor`_ to ensure Celery's future.
  72
  73 .. _`backer`: https://opencollective.com/celery#backer
  74 .. _`sponsor`: https://opencollective.com/celery#sponsor
  75
  76
  77 Sponsors
  78 --------
  79
  80 `Tidelift gives software development teams a single source for purchasing
  81 and maintaining their software, with professional grade assurances from
  82 the experts who know it best, while seamlessly integrating with existing
  83 tools.
  84 <https://tidelift.com/subscription/pkg/pypi-celery?utm_source=pypi-celery&u
  85 tm_medium=referral&utm_campaign=readme>`_
  86
  87
  88 What's a Task Queue?
  89 ====================
  90
  91 Task queues are used as a mechanism to distribute work across threads or
  92 machines.
  93
  94 A task queue's input is a unit of work, called a task, dedicated worker
  95 processes then constantly monitor the queue for new work to perform.
  96
  97 Celery communicates via messages, usually using a broker
  98 to mediate between clients and workers. To initiate a task a client puts a
  99 message on the queue, the broker then delivers the message to a worker.
 100
 101 A Celery system can consist of multiple workers and brokers, giving way
 102 to high availability and horizontal scaling.
 103
 104 Celery is written in Python, but the protocol can be implemented in any
 105 language. In addition to Python there's node-celery_ for Node.js,
 106 and a `PHP client`_.
 107
 108 Language interoperability can also be achieved by using webhooks
 109 in such a way that the client enqueues an URL to be requested by a worker.
 110
 111 .. _node-celery: https://github.com/mher/node-celery
 112 .. _`PHP client`: https://github.com/gjedeer/celery-php
 113
 114 What do I need?
 115 ===============
 116
 117 Celery version 4.3 runs on,
 118
 119 - Python (2.7, 3.4, 3.5, 3.6, 3.7)
 120 - PyPy2.7 (6.0)
 121 - PyPy3.5 (6.0)
 122
 123
 124 This is the last version to support Python 2.7,
 125 and from the next version (Celery 5.x) Python 3.5 or newer is required.
 126
 127 If you're running an older version of Python, you need to be running
 128 an older version of Celery:
 129
 130 - Python 2.6: Celery series 3.1 or earlier.
 131 - Python 2.5: Celery series 3.0 or earlier.
 132 - Python 2.4 was Celery series 2.2 or earlier.
 133
 134 Celery is a project with minimal funding,
 135 so we don't support Microsoft Windows.
 136 Please don't open any issues related to that platform.
 137
 138 *Celery* is usually used with a message broker to send and receive
 139 messages.
 140 The RabbitMQ, Redis transports are feature complete,
 141 but there's also experimental support for a myriad of other solutions,
 142 including
 143 using SQLite for local development.
 144
 145 *Celery* can run on a single machine, on multiple machines, or even
 146 across datacenters.
 147
 148 Get Started
 149 ===========
 150
 151 If this is the first time you're trying to use Celery, or you're
 152 new to Celery 4.2 coming from previous versions then you should read our
 153 getting started tutorials:
 154
 155 - `First steps with Celery`_
 156
 157     Tutorial teaching you the bare minimum needed to get started with
 158 Celery.
 159
 160 - `Next steps`_
 161
 162     A more complete overview, showing more features.
 163
 164
 165 [FILE:98:distinfo]
 166 4c4532aa683f170f40bd76f928b70bc06ff171a959e06e71bf35f2f9d6031ef9      1398430 celery-4.3.0.tar.gz
 167