add arguments to wait for all jobs to be completed and ressources to …

…be deployed

.github/workflows/lint-test.yaml

@@ -60,11 +60,12 @@ jobs:
           kubectl create ns ns-vllm
 
       - name: Run chart-testing (install)
-        run: helm install --create-namespace --namespace=ns-vllm test-vllm examples/chart-helm -f examples/chart-helm/values.yaml --set secrets.s3endpoint=http://minio:9000 --set secrets.s3bucketname=testbucket --set secrets.s3accesskeyid=$AWS_ACCESS_KEY_ID --set secrets.s3accesskey=$AWS_SECRET_ACCESS_KEY --set image.env[0].name=VLLM_CPU_KVCACHE_SPACE --set resources.requests.cpu=1 --set resources.requests.memory=4Gi --set resources.limits.cpu=2 --set resources.limits.memory=5Gi --set-string image.env[0].value="1" --set-string extraInit.s3modelpath="opt-125m/" --set-string 'resources.limits.nvidia\.com/gpu=0' --set-string 'resources.requests.nvidia\.com/gpu=0' --set-string image.repository="adsai/vllm-cpu-env"
+        run: helm install --wait --wait-for-jobs --create-namespace --namespace=ns-vllm test-vllm examples/chart-helm -f examples/chart-helm/values.yaml --set secrets.s3endpoint=http://minio:9000 --set secrets.s3bucketname=testbucket --set secrets.s3accesskeyid=$AWS_ACCESS_KEY_ID --set secrets.s3accesskey=$AWS_SECRET_ACCESS_KEY --set image.env[0].name=VLLM_CPU_KVCACHE_SPACE --set resources.requests.cpu=1 --set resources.requests.memory=4Gi --set resources.limits.cpu=2 --set resources.limits.memory=5Gi --set-string image.env[0].value="1" --set-string extraInit.s3modelpath="opt-125m/" --set-string 'resources.limits.nvidia\.com/gpu=0' --set-string 'resources.requests.nvidia\.com/gpu=0' --set-string image.repository="adsai/vllm-cpu-env"
 
       - name: curl test
         run: |
           kubectl -n ns-vllm get svc
+          kubectl -n ns-vllm get pods
           kubectl port-forward svc/test-vllm-service 8001:80 -n ns-vllm 
           CODE=`curl --location http://localhost:8001/v1/completions \
                   --header "Content-Type: application/json" \