krkn/utils/chaos_ai

aichaos

Enhancing Chaos Engineering with AI-assisted fault injection for better resiliency and non-functional testing.

Generate python package wheel file

$ python3.9 generate_wheel_package.py sdist bdist_wheel
$ cp dist/aichaos-0.0.1-py3-none-any.whl docker/

This creates a python package file aichaos-0.0.1-py3-none-any.whl in the dist folder.

Build Image

$ cd docker
$ podman build -t aichaos:1.0 .
OR
$ docker build -t aichaos:1.0 .

Run Chaos AI

$ podman run -v aichaos-config.json:/config/aichaos-config.json --privileged=true --name aichaos -p 5001:5001 aichaos:1.0
OR
$ docker run -v aichaos-config.json:/config/aichaos-config.json --privileged -v /var/run/docker.sock:/var/run/docker.sock --name aichaos -p 5001:5001 aichaos:1.0

The output should look like:

$ podman run -v aichaos-config.json:/config/aichaos-config.json --privileged=true --name aichaos -p 5001:5001 aichaos:1.0
 * Serving Flask app 'swagger_api' (lazy loading)
 * Environment: production
   WARNING: This is a development server. Do not use it in a production deployment.
   Use a production WSGI server instead.
 * Debug mode: on
WARNING: This is a development server. Do not use it in a production deployment. Use a production WSGI server instead.
 * Running on all addresses (0.0.0.0)
 * Running on http://127.0.0.1:5001
 * Running on http://172.17.0.2:5001

You can try out the APIs in browser at http://:5001/apidocs (eg. http://127.0.0.1:5001/apidocs). For testing out, you can try “GenerateChaos” api with ‘kubeconfig’ file and application URLs to test.