2a7ca47967
When a retry object is asked to make a decision about the atoms it controls it is currently provided a complex object that contains what has failed and why and what was provided to try to resolve this failure as raw types. To make it easier to interact with that history provide and use a more easier to interact with helper object that provides useful functionality built ontop of the raw types. Part of blueprint intuitive-retries Change-Id: I93f86552f5a0c26b269319e4de6d9b8fb3b3b219 |
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doc | ||
taskflow | ||
tools | ||
.coveragerc | ||
.gitignore | ||
.gitreview | ||
.mailmap | ||
.testr.conf | ||
CONTRIBUTING.rst | ||
LICENSE | ||
MANIFEST.in | ||
openstack-common.conf | ||
pylintrc | ||
README.rst | ||
requirements-py2.txt | ||
requirements-py3.txt | ||
run_tests.sh | ||
setup.cfg | ||
setup.py | ||
test-requirements.txt | ||
tox.ini |
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.
- More information can be found by referring to the developer documentation.
Join us
Testing and requirements
Requirements
Because TaskFlow has many optional (pluggable) parts like persistence
backends and engines, we decided to split our requirements into two
parts: - things that are absolutely required by TaskFlow (you can't use
TaskFlow without them) are put into requirements-pyN.txt
(N
being the Python major version number used to
install the package); - things that are required by some optional part
of TaskFlow (you can use TaskFlow without them) are put into
optional-requirements.txt
; if you want to use the feature
in question, you should add that requirements 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