Nolan Brubaker 010cadf114 Consolidate tox run output into one report
The original implementation of erasing the coverage data file between
each test was the most accurate method, providing coverage stats in a
'cleanroom' setup, but resulted in extra reports being output. This
doesn't scale very well as more test files are added to the repository.

This patchset removes the extranenous erase command, and adds the `-a`
argument to the run commands, which allows coverage to accumulate data
across runs. Without the `-a` run, the coverage reports for each target
file are cross-contaminated, resulting in different coverage numbers.

Depends-On: I06729ac2bc1688a39255f2c8ea0d14131b5c2560

Change-Id: I4d52f7363e00bba62ed878fe8fa6e593eb21fdde
2016-11-18 22:08:24 +00:00
2016-11-10 11:38:07 +00:00
2016-11-03 12:09:05 +11:00
2016-07-15 12:58:23 +00:00

OpenStack-Ansible

OpenStack-Ansible is an official OpenStack project which aims to deploy production environments from source in a way that makes it scalable while also being simple to operate, upgrade, and grow.

For an overview of the mission, repositories and related Wiki home page, please see the formal Home Page for the project.

For those looking to test OpenStack-Ansible using an All-In-One (AIO) build, please see the Quick Start guide.

For more detailed Installation and Operator documentation, please see the Install Guide.

If OpenStack-Ansible is missing something you'd like to see included, then we encourage you to see the Developer Documentation for more details on how you can get involved.

Developers wishing to work on the OpenStack-Ansible project should always base their work on the latest code, available from the master GIT repository at Source.

If you have some questions, or would like some assistance with achieving your goals, then please feel free to reach out to us on the OpenStack Mailing Lists (particularly openstack-operators or openstack-dev) or on IRC in #openstack-ansible on the freenode network.

Description
Ansible playbooks for deploying OpenStack.
Readme 139 MiB
Languages
Python 61%
Shell 27.6%
Jinja 11.3%
Smarty 0.1%