This repository has been archived by the owner on Feb 17, 2025. It is now read-only.
Bump aiohttp from 3.9.5 to 3.10.2 #8
Workflow file for this run
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| name: CSI test | |
| on: [push, pull_request] | |
| jobs: | |
| build-csi: | |
| runs-on: ubuntu-latest | |
| steps: | |
| - name: Checkout | |
| uses: actions/checkout@v4 | |
| - name: Create k8s Kind Cluster | |
| uses: helm/kind-action@v1 | |
| with: | |
| cluster_name: kind | |
| - name: Set VERSION to latest | |
| run: echo "VERSION=latest" >> $GITHUB_ENV | |
| - name: Install KServe from tutorial | |
| run: | | |
| curl -s "https://raw.githubusercontent.com/kserve/kserve/release-0.12/hack/quick_install.sh" | bash | |
| - name: Make local image, inject it in KinD | |
| run: | | |
| make VERSION=${VERSION} image-build | |
| kind load docker-image quay.io/${USER}/oci-storage-initializer:${VERSION} | |
| - name: Apply the ClusterStorageContainer resource | |
| run: | | |
| kubectl apply -f - <<EOF | |
| apiVersion: "serving.kserve.io/v1alpha1" | |
| kind: ClusterStorageContainer | |
| metadata: | |
| name: oci-storage-initializer | |
| spec: | |
| container: | |
| name: storage-initializer | |
| image: quay.io/$USER/oci-storage-initializer:${VERSION} | |
| imagePullPolicy: IfNotPresent # NOT FOR PROD but allow easier testing of local images with KinD (just remove for prod) | |
| resources: | |
| requests: | |
| memory: 100Mi | |
| cpu: 100m | |
| limits: | |
| memory: 1Gi | |
| cpu: "1" | |
| supportedUriFormats: | |
| - prefix: oci-artifact:// | |
| EOF | |
| - name: Apply the InferenceService resource | |
| run: | | |
| kubectl create namespace kserve-test | |
| kubectl apply -n kserve-test -f - <<EOF | |
| apiVersion: "serving.kserve.io/v1beta1" | |
| kind: "InferenceService" | |
| metadata: | |
| name: "sklearn-iris" | |
| spec: | |
| predictor: | |
| model: | |
| modelFormat: | |
| name: sklearn | |
| storageUri: "oci-artifact://quay.io/mmortari/demo20240606-orascsi-ociartifactrepo:latest" | |
| EOF | |
| - name: Check the InferenceService | |
| run: | | |
| kubectl get inferenceservices sklearn-iris -n kserve-test | |
| kubectl wait --for=condition=Ready --timeout=600s inferenceservice/sklearn-iris -n kserve-test | |
| kubectl describe inferenceservices sklearn-iris -n kserve-test | |
| - name: Check the model | |
| run: | | |
| kubectl get svc istio-ingressgateway -n istio-system | |
| INGRESS_GATEWAY_SERVICE=$(kubectl get svc --namespace istio-system --selector="app=istio-ingressgateway" --output jsonpath='{.items[0].metadata.name}') | |
| nohup kubectl port-forward --namespace istio-system svc/${INGRESS_GATEWAY_SERVICE} 8081:80 & | |
| while ! curl localhost:8081; do echo waiting for port-forwarding; sleep 1; done; echo port-forwarding ready | |
| # local envs | |
| export INGRESS_HOST=localhost | |
| export INGRESS_PORT=8081 | |
| cat <<EOF > "/tmp/iris-input.json" | |
| { | |
| "instances": [ | |
| [6.8, 2.8, 4.8, 1.4], | |
| [6.0, 3.4, 4.5, 1.6] | |
| ] | |
| } | |
| EOF | |
| SERVICE_HOSTNAME=$(kubectl get inferenceservice sklearn-iris -n kserve-test -o jsonpath='{.status.url}' | cut -d "/" -f 3) | |
| curl -s -v -H "Host: ${SERVICE_HOSTNAME}" -H "Content-Type: application/json" "http://${INGRESS_HOST}:${INGRESS_PORT}/v1/models/sklearn-iris:predict" -d @/tmp/iris-input.json | |
| curl -s -H "Host: ${SERVICE_HOSTNAME}" -H "Content-Type: application/json" "http://${INGRESS_HOST}:${INGRESS_PORT}/v1/models/sklearn-iris:predict" -d @/tmp/iris-input.json | jq . |