3d4bbb92d8
When a retry controller is added to a nested flow, with the exception of AlwaysRetryAll, existing retry controllers do not cause a revert of predecessor tasks in the surrounding flow. This is due to the fact that these retry controllers always return RETRY. The revert_all option, when set True, will result in the retry controller returning REVERT_ALL rather than REVERT, which will cause predecessor tasks in the surrounding flow to also be REVERTed. Change-Id: I2d867b2d05e8559121ec48fd7249f15078450532
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 three parts: - things that are absolutely required (you can't use
the project without them) are put into requirements-pyN.txt
(N being the Python major version number used to
install the package). The requirements that are required by some
optional part of this project (you can use the project without them) are
put into our tox.ini 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; - as usual, things that
required only for running tests are put into
test-requirements.txt.
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