RETIRED, A collection of python libraries for the Validation Framework
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The patch f2830c5244 introduced
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In addition to the fix of the previously describe issues
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Every major behavioral branch now has a dedicated log statement.
Test coverage included.
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Signed-off-by: Jiri Podivin <jpodivin@redhat.com>
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README.rst

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