70e58977c9
In situations where many atoms can execute at the same time it is sometimes useful to denote that when this situation happens that certain atoms should execute/revert before other atoms (or at least an attempt should be made to do this) instead of being nearly arbitrary. This adds a priority class attribute to the atom class (which can be overridden or changed as needed) which is then used in the runtime state machine to sort on so that atoms with higher priority get submitted (and therefore executed/reverted) first. Closes-Bug: #1507755 Change-Id: I3dcc705959085cba167883c85278e394b5cb1d2b
TaskFlow
A library to do [jobs, tasks, flows] in a highly available, easy to understand and declarative manner (and more!) to be used with OpenStack and other projects.
- Free software: Apache license
- Documentation: http://docs.openstack.org/developer/taskflow
- Source: http://git.openstack.org/cgit/openstack/taskflow
- Bugs: http://bugs.launchpad.net/taskflow/
Join us
Testing and requirements
Requirements
Because this project has many optional (pluggable) parts like
persistence backends and engines, we decided to split our requirements
into two parts: - things that are absolutely required (you can't use the
project without them) are put into requirements.txt. The
requirements that are required by some optional part of this project
(you can use the project without them) are put into our
test-requirements.txt file (so that we can still test the
optional functionality works as expected). If you want to use the
feature in question (eventlet or the
worker based engine that uses kombu or the sqlalchemy persistence backend or
jobboards which have an implementation built using kazoo ...), you should add that
requirement(s) to your project or environment.
Tox.ini
Our tox.ini file describes several test environments
that allow to test TaskFlow with different python versions and sets of
requirements installed. Please refer to the tox documentation to understand how
to make these test environments work for you.
Developer documentation
We also have sphinx documentation in docs/source.
To build it, run:
$ python setup.py build_sphinx