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Merge pull request opendatahub-io#744 from diegolovison/doc2
How run the test suite locally
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.github/scripts/tests/README.md

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# Setup the local environment
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All the following commands must be executed in a single terminal instance.
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## Increase inotify Limits
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To prevent file monitoring issues in development environments (e.g., IDEs or file sync tools), increase inotify limits:
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```bash
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sudo sysctl fs.inotify.max_user_instances=2280
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sudo sysctl fs.inotify.max_user_watches=1255360
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```
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## Create kind cluster
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```bash
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cat <<EOF | kind create cluster --name=kubeflow --config=-
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kind: Cluster
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apiVersion: kind.x-k8s.io/v1alpha4
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nodes:
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- role: control-plane
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image: kindest/node:v1.31.0@sha256:53df588e04085fd41ae12de0c3fe4c72f7013bba32a20e7325357a1ac94ba865
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kubeadmConfigPatches:
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- |
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kind: ClusterConfiguration
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apiServer:
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extraArgs:
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"service-account-issuer": "kubernetes.default.svc"
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"service-account-signing-key-file": "/etc/kubernetes/pki/sa.key"
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EOF
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```
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## kubeconfig
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Instead of replacing your kubeconfig, we are going to set to a diff file
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```bash
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kind get kubeconfig --name kubeflow > /tmp/kubeflow-config
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export KUBECONFIG=/tmp/kubeflow-config
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```
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# docker
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In order to by pass the docker limit issue while downloading the images. Let's use your credentials
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```bash
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docker login
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```
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Upload the secret. The following command will return an error. You need to replace `to` with user `username`
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```bash
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kubectl create secret generic regcred \
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--from-file=.dockerconfigjson=/home/to/.docker/config.json \
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--type=kubernetes.io/dockerconfigjson
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```
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# Test environment variables
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Replace the `/path/to` in order to match the `data-science-pipelines-operator` folder
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```bash
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export GIT_WORKSPACE=/path/to/data-science-pipelines-operator
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```
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The image registry is required because you are running the test locally.
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It will build and upload the image to your repository.
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Replace `username` with your quay user
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```bash
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export REGISTRY_ADDRESS=quay.io/username
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```
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# Run the test
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```bash
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sh .github/scripts/tests/tests.sh --kind
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```

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