forked from pool/python-celery
62845906df
OBS-URL: https://build.opensuse.org/package/show/devel:languages:python/python-celery?expand=0&rev=18
71 lines
2.3 KiB
RPMSpec
71 lines
2.3 KiB
RPMSpec
#
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# spec file for package python-celery (Version 2.1.1)
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#
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# Copyright (c) 2010 SUSE LINUX Products GmbH, Nuernberg, Germany.
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#
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# All modifications and additions to the file contributed by third parties
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# remain the property of their copyright owners, unless otherwise agreed
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# upon. The license for this file, and modifications and additions to the
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# file, is the same license as for the pristine package itself (unless the
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# license for the pristine package is not an Open Source License, in which
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# case the license is the MIT License). An "Open Source License" is a
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# license that conforms to the Open Source Definition (Version 1.9)
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# published by the Open Source Initiative.
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# Please submit bugfixes or comments via http://bugs.opensuse.org/
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#
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Name: python-celery
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Version: 2.1.1
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Release: 1
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License: BSD License
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Summary: Distributed Task Queue
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Url: http://github.com/ask/celery
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Group: Development/Libraries/Python
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Source: celery-%{version}.tar.bz2
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BuildRequires: python-devel
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BuildRequires: python-setuptools
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Requires: python-anyjson
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Requires: python-carrot
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Requires: python-daemon
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Requires: python-django-unittest-depth
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Requires: python-tyrant
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BuildRoot: %{_tmppath}/%{name}-%{version}-build
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%{py_requires}
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%if %{?suse_version: %{suse_version} > 1110} %{!?suse_version:1}
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BuildArch: noarch
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%endif
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%description
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Celery is a distributed task queue.
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It was first created for Django, but is now usable from Python. It can also operate with
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other languages via HTTP+JSON.
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It is used for executing tasks asynchronously, routed to one or more worker servers, running
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concurrently using multiprocessing.
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It is designed to solve certain problems related to running websites demanding high-availability
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and performance.
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It is perfect for filling caches, posting updates to twitter, mass downloading data like
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syndication feeds or web scraping. Use-cases are plentiful. Implementing these features
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asynchronously using celery is easy and fun, and the performance improvements can make it more
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than worthwhile.
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Author:
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--------
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Ask Solem <askh@opera.com>
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%prep
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%setup -q -n celery-%{version}
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%build
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%{__python} setup.py build
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%install
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%{__python} setup.py install --prefix=%{_prefix} --root=%{buildroot} --record-rpm=INSTALLED_FILES
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%files -f INSTALLED_FILES
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%defattr(-,root,root)
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