2b827e1e36
To make it possible to alter the runtime flow via a simple conditional like structure make it possible to have the graph flow link function take a decider that is expected to be some callable that will decide (via a boolean return) whether the edge should actually be traversed when running. When a decider returns false; the affected + successors will be set into the IGNORE state and they will be exempt from future runtime and scheduling decisions. Part of blueprint taskflow-conditional-execution Change-Id: Iab0ee46f86d6b8e747911174d54a7295b3fa404d
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/
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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