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.dockerignore file was added to limit size of the docker context The more complex docker images will be placed in newly created dockerfiles dir. Each in its own subdir and accompanied with README.rst file describing their use. Right now there is only one, the same as the one in repo root. But in the future there will be more. Signed-off-by: Jiri Podivin <jpodivin@redhat.com> Change-Id: I5ed91d4258d9ad6725a86d5c3c6a40a02212b5d4 |
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| .pre-commit-config.yaml | ||
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| Dockerfile | ||
| LICENSE | ||
| MANIFEST.in | ||
| README.rst | ||
| Vagrantfile.centos | ||
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| bindep.txt | ||
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README.rst
validations-libs
A collection of python libraries for the Validation Framework
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 upOnce complete you will have a clean development environment ready to go for working with Validation Framework.
Docker 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:
docker 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.
Then you can run the container and start to run some builtin Validations:
docker run -ti vf:dockerfile /bin/bashThen run validations:
validation.py run --validation check-ftype,512e --inventory /etc/ansible/hosts