forked from pool/python-APScheduler
- Update to version 3.0.2 + Add new upstream dependencies: ~ python-futures ~ python-pytz ~ python-six ~ python-tzlocal + Contains incompatible changes to previous version + Fixed ValueError when the target callable has a default keyword argument that wasn’t overridden + Fixed wrong job sort order in some job stores + Fixed exception when loading all jobs from the redis job store when there are paused jobs in it + Fixed AttributeError when printing a job list when there were pending jobs + Added setuptools as an explicit requirement in install requirements + A wider variety of target callables can now be scheduled so that the jobs are still serializable (static methods on Python 3.3+, unbound methods on all except Python 3.2) + Attempting to serialize a non-serializable Job now raises a helpful exception during serialization. Thanks to Jeremy Morgan for pointing this out. + Fixed table creation with SQLAlchemyJobStore on MySQL/InnoDB + Fixed start date getting set too far in the future with a timezone different from the local one + Fixed _run_job_error() being called with the incorrect number of arguments in most executors + Added support for timezones (special thanks to Curtis Vogt for help with this one) + Split the old Scheduler class into BlockingScheduler and BackgroundScheduler and added integration for asyncio (PEP 3156), Gevent, Tornado, Twisted and Qt event loops OBS-URL: https://build.opensuse.org/request/show/293863 OBS-URL: https://build.opensuse.org/package/show/devel:languages:python/python-APScheduler?expand=0&rev=6
100 lines
3.2 KiB
RPMSpec
100 lines
3.2 KiB
RPMSpec
#
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# spec file for package python-APScheduler
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#
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# Copyright (c) 2015 SUSE LINUX 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-APScheduler
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Version: 3.0.2
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Release: 0
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Url: http://pypi.python.org/pypi/APScheduler/
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Summary: In-process task scheduler with Cron-like capabilities
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License: MIT
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Group: Development/Languages/Python
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Source: http://pypi.python.org/packages/source/A/APScheduler/APScheduler-%{version}.tar.gz
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BuildRoot: %{_tmppath}/%{name}-%{version}-build
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Requires: python-futures
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Requires: python-pytz
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Requires: python-six
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Requires: python-tzlocal
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BuildRequires: python-devel
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BuildRequires: python-futures
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BuildRequires: python-mock
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BuildRequires: python-nose
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BuildRequires: python-pytest
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BuildRequires: python-pytz
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BuildRequires: python-six
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BuildRequires: python-tzlocal
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%if 0%{?suse_version} && 0%{?suse_version} <= 1110
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%{!?python_sitelib: %global python_sitelib %(python -c "from distutils.sysconfig import get_python_lib; print get_python_lib()")}
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%else
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BuildArch: noarch
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%endif
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%description
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Advanced Python Scheduler (APScheduler) is a light but powerful in-process task
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scheduler that lets you schedule jobs (functions or any python callables) to be
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executed at times of your choosing.
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This can be a far better alternative to externally run cron scripts for
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long-running applications (e.g. web applications), as it is platform neutral
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and can directly access your application's variables and functions.
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The development of APScheduler was heavily influenced by the Quartz
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task scheduler written in Java.
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APScheduler provides most of the major features that Quartz does, but it also
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provides features not present in Quartz (such as multiple job stores).
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* No (hard) external dependencies
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* Thread-safe API
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* Excellent test coverage
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* Configurable scheduling mechanisms (triggers):
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* Cron-like scheduling
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* Delayed scheduling of single run jobs (like the UNIX "at" command)
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* Interval-based (run a job at specified time intervals)
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* Multiple, simultaneously active job stores:
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* RAM
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* File-based simple database (shelve)
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* SQLAlchemy (any supported RDBMS works)
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* MongoDB
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%prep
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%setup -q -n APScheduler-%{version}
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%build
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python setup.py build
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#TODO/FIXME: tests fail with argument mismatch
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rm tests/test_util.py
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rm tests/test_executors.py
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rm tests/test_job.py
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rm tests/test_jobstores.py
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rm tests/test_schedulers.py
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rm tests/test_triggers.py
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%install
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python setup.py install --prefix=%{_prefix} --root=%{buildroot}
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%check
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nosetests
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%files
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%defattr(-,root,root,-)
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%doc README.rst examples
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%{python_sitelib}/*
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%changelog
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