openstack/openstack-ansible-ops
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Operations-related content for OpenStack-Ansible
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Jinja 82.1%
Shell 12.1%
Python 4.7%
PHP 1.1%
5b5ae43392
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Major Hayden 5b5ae43392
Better handling of newton branch in osa-differ 
There was a bug in osa-differ where an exception would be thrown
if a new role appeared that didn't exist before. That's fixed in
this patch.

The script also skips the commit comparison if it notices that the
commit SHA matches between both OSA releases.

The RST output had broken headers before and those are fixed as
well.

Closes-bug: 1604840

Change-Id: Ifa47d64e7b79639a90871fdbf0370f8c425582ed
2016-07-20 09:25:07 -05:00
doc Update sphinx configuration 2016-07-12 16:51:39 +01:00
osa-differ Better handling of newton branch in osa-differ 2016-07-20 09:25:07 -05:00
releasenotes Update sphinx configuration 2016-07-12 16:51:39 +01:00
.gitignore Add base test scaffolding for repo 2016-06-14 15:32:40 +00:00
.gitreview Added .gitreview 2016-05-27 11:57:18 +00:00
CONTRIBUTING.rst Add base test scaffolding for repo 2016-06-14 15:32:40 +00:00
LICENSE Add base test scaffolding for repo 2016-06-14 15:32:40 +00:00
other-requirements.txt Add base test scaffolding for repo 2016-06-14 15:32:40 +00:00
README.rst Add base test scaffolding for repo 2016-06-14 15:32:40 +00:00
run_tests.sh Add base test scaffolding for repo 2016-06-14 15:32:40 +00:00
setup.cfg Add base test scaffolding for repo 2016-06-14 15:32:40 +00:00
setup.py Updated from global requirements 2016-07-15 03:57:35 +00:00
test-requirements.txt Updated from global requirements 2016-07-15 03:57:35 +00:00
tox.ini Implement doc8 checks for docs 2016-07-13 12:54:36 +01:00

README.rst

OpenStack-Ansible Operator Tooling

This repository is a collecting point for various scripts and tools which OpenStack-Ansible Developers and Operators have found to be useful and want to share and collaboratively improve.

The contents of this repository are not strictly quality managed and are only tested by hand by the contributors and consumers. Anyone using the tooling is advised to very clearly understand what it is doing before using it on a production environment.