Jiri Podivin c8480cbf80 Setting language for the python3.6 tox environment
By ensuring the locale is set to US utf-8 we can avoid
encoding errors.

Closes-Bug: #1940313

Signed-off-by: Jiri Podivin <jpodivin@redhat.com>
Change-Id: I585a433e7480c22d52f402c1661194968ec66307
2021-08-19 08:36:32 +00:00
2021-07-26 23:08:29 +09:00
2020-02-28 10:42:18 +01:00
2020-02-28 14:47:28 +01:00
2020-02-28 14:47:28 +01:00

validations-libs

image

A collection of python libraries for the Validation Framework

The validations will help detect issues early in the deployment process and prevent field engineers from wasting time on misconfiguration or hardware issues in their environments.

Development Environment Setup

Vagrantfiles for CentOS and Ubuntu have been provided for convenience; simply copy one into your desired location and rename to Vagrantfile, then run:

vagrant up

Once complete you will have a clean development environment ready to go for working with Validation Framework.

podman Quickstart

A Dockerfile is provided at the root of the Validations Library project in order to quickly set and hack the Validation Framework, on a equivalent of a single machine. Build the container from the Dockerfile by running:

podman build -t "vf:dockerfile" .

From the validations-libs repo directory.

Note

More complex images are available in the dockerfiles directory and require explicit specification of both build context and the Dockerfile.

Since the podman build uses code sourced from the buildah project to build container images. It is also possible to build an image using:

buildah bud -t "vf:dockerfile" .

Then you can run the container and start to run some builtin Validations:

podman run -ti vf:dockerfile /bin/bash

Then run validations:

validation.py run --validation check-ftype,512e --inventory /etc/ansible/hosts
Description
RETIRED, A collection of python libraries for the Validation Framework
Readme 5.9 MiB