File python-celery.spec of Package python-celery

Overview Repositories Revisions Requests Users Attributes Meta

File python-celery.spec of Package python-celery (Revision 1531bffc033bd456f9ac2c7ce4115f94)

Currently displaying revision 1531bffc033bd456f9ac2c7ce4115f94 , Show latest

#
# spec file for package python-celery (Version 2.1.0)
#
# Copyright (c) 2010 SUSE LINUX Products GmbH, Nuernberg, Germany.
#
# All modifications and additions to the file contributed by third parties
# remain the property of their copyright owners, unless otherwise agreed
# upon. The license for this file, and modifications and additions to the
# file, is the same license as for the pristine package itself (unless the
# license for the pristine package is not an Open Source License, in which
# case the license is the MIT License). An "Open Source License" is a
# license that conforms to the Open Source Definition (Version 1.9)
# published by the Open Source Initiative.

# Please submit bugfixes or comments via http://bugs.opensuse.org/
#

Name:           python-celery
Version:        2.1.0
Release:        1
License:        BSD License
Summary:        Distributed Task Queue
Url:            http://github.com/ask/celery
Group:          Development/Libraries/Python
Source:         celery-%{version}.tar.bz2
BuildRequires:  python-devel
BuildRequires:  python-setuptools
Requires:       python-anyjson
Requires:       python-carrot
Requires:       python-daemon
Requires:       python-django-unittest-depth
Requires:       python-tyrant
BuildRoot:      %{_tmppath}/%{name}-%{version}-build
%{py_requires}
%if %{?suse_version: %{suse_version} > 1110} %{!?suse_version:1}
BuildArch:      noarch
%endif

%description
Celery is a distributed task queue.
It was first created for Django, but is now usable from Python. It can also operate with
other languages via HTTP+JSON.
It is used for executing tasks asynchronously, routed to one or more worker servers, running
concurrently using multiprocessing.
It is designed to solve certain problems related to running websites demanding high-availability
and performance.
It is perfect for filling caches, posting updates to twitter, mass downloading data like
syndication feeds or web scraping. Use-cases are plentiful. Implementing these features
asynchronously using celery is easy and fun, and the performance improvements can make it more
than worthwhile.

Author:
--------
    Ask Solem <askh@opera.com>

%prep
%setup -q -n celery-%{version}

%build
%{__python} setup.py build

%install
%{__python} setup.py install --prefix=%{_prefix} --root=%{buildroot} --record-rpm=INSTALLED_FILES

%files -f INSTALLED_FILES
%defattr(-,root,root)

Places

File python-celery.spec of Package python-celery (Revision 1531bffc033bd456f9ac2c7ce4115f94)

Places