add github workflow for functional tests on helm chart example

.github/workflows/lint-test.yaml

@@ -0,0 +1,75 @@
+name: Lint and Test Charts
+
+on: pull_request
+
+jobs:
+  lint-test:
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v3
+        with:
+          fetch-depth: 0
+
+      - name: Set up Helm
+        uses: azure/[email protected]
+        with:
+          version: v3.14.4
+
+       #Python is required because ct lint runs Yamale and yamllint which require Python.
+      - uses: actions/setup-python@v5
+        with:
+          python-version: '3.x'
+          check-latest: true
+
+      - name: Set up chart-testing
+        uses: helm/[email protected]
+
+      - name: Run chart-testing (lint)
+        run: ct lint --target-branch ${{ github.event.repository.default_branch }} --chart-dirs examples/chart-helm --charts examples/chart-helm
+
+      - name: Setup minio
+        run: |
+          docker network create vllm-net
+          docker run -d -p 9000:9000 --name minio --net vllm-net \
+                     -e "MINIO_ACCESS_KEY=minioadmin" \
+                     -e "MINIO_SECRET_KEY=minioadmin" \
+                     -v /tmp/data:/data \
+                     -v /tmp/config:/root/.minio \
+                     minio/minio server /data
+          export AWS_ACCESS_KEY_ID=minioadmin
+          export AWS_SECRET_ACCESS_KEY=minioadmin
+          export AWS_EC2_METADATA_DISABLED=true
+          mkdir opt-125m
+          cd opt-125m && curl -O -Ls "https://huggingface.co/facebook/opt-125m/resolve/main/{pytorch_model.bin,config.json,generation_config.json,merge.txt,tokenizer_config.json,vocab.json}" && cd ..
+          aws --endpoint-url http://127.0.0.1:9000/ s3 mb s3://testbucket
+          aws --endpoint-url http://127.0.0.1:9000/ s3 cp opt-125m/ s3://testbucket/opt-125m --recursive
+
+      - name: Create kind cluster
+        uses: helm/[email protected]
+        run: |
+          docker pull adsai/vllm-cpu-env:latest
+          kind load docker-image  amazon/aws-cli:2.6.4 --name kind
+          kind load docker-image adsai/vllm-cpu-env:latest --name kind
+          docker network connect test-net "$(docker ps -aqf "name=kind-control-plane")"
+
+      - name: Run chart-testing (install)
+        run: ct install --target-branch ${{ github.event.repository.default_branch }} --chart-dirs examples/chart-helm --charts examples/chart-helm --namespace=ns-vllm --helm-extra-set-args "--set secrets.s3endpoint=http://minio:9000 --set secrets.s3bucketname=testbucket --set secrets.s3accesskeyid=$AWS_ACCESS_KEY_ID --set secrets.s3accesskey=$AWS_ACCESS_ACCESS_KEY --set image.env[0].name=VLLM_CPU_KVCACHE_SPACE --set-string image.env[0].value="1" --set-string resources.requests.cpu="1" --set resources.requests.memory=4Gi --set-string resources.requests."nvidia/gpu"="0" --set-string resources.limits.cpu="2" --set resources.limits.memory=5Gi --set-string resources.limits."nvidia/gpu"="0"""
+
+      - name: curl test
+            run: |
+            kubectl port-forward svc/test-vllm-service 8001:80 -n test-vllm 
+            CODE=`curl --location http://localhost:8001/v1/completions \
+                    --header "Content-Type: application/json" \
+                    --data '{
+                            "model": "opt-125m",
+                            "prompt": "San Francisco is a",
+                            "max_tokens": 7,
+                            "temperature": 0
+                    }'`
+            if [ $CODE!="200" ] 
+            then
+                echo "FAILURE"
+            else
+                echo "SUCCESS"
+            fi