apiVersion: apps/v1
kind: Deployment
metadata:
  labels:
    app: ml-pipeline-ui
    app.kubernetes.io/component: ml-pipeline
    app.kubernetes.io/name: kubeflow-pipelines
  name: ml-pipeline-ui
  namespace: kubeflow
spec:
  selector:
    matchLabels:
      app: ml-pipeline-ui
      app.kubernetes.io/component: ml-pipeline
      app.kubernetes.io/name: kubeflow-pipelines
  template:
    metadata:
      labels:
        app: ml-pipeline-ui
        app.kubernetes.io/component: ml-pipeline
        app.kubernetes.io/name: kubeflow-pipelines
    spec:
      containers:
      - env:
        - name: VIEWER_TENSORBOARD_POD_TEMPLATE_SPEC_PATH
          value: /etc/config/viewer-pod-template.json
        - name: MINIO_NAMESPACE
          valueFrom:
            fieldRef:
              fieldPath: metadata.namespace
        - name: MINIO_ACCESS_KEY
          valueFrom:
            secretKeyRef:
              key: accesskey
              name: mlpipeline-minio-artifact
        - name: MINIO_SECRET_KEY
          valueFrom:
            secretKeyRef:
              key: secretkey
              name: mlpipeline-minio-artifact
        - name: ALLOW_CUSTOM_VISUALIZATIONS
          value: "true"
        image: gcr.io/ml-pipeline/frontend:1.0.4
        imagePullPolicy: IfNotPresent
        livenessProbe:
          exec:
            command:
            - wget
            - -q
            - -S
            - -O
            - '-'
            - http://localhost:3000/apis/v1beta1/healthz
          initialDelaySeconds: 3
          periodSeconds: 5
          timeoutSeconds: 2
        name: ml-pipeline-ui
        ports:
        - containerPort: 3000
        readinessProbe:
          exec:
            command:
            - wget
            - -q
            - -S
            - -O
            - '-'
            - http://localhost:3000/apis/v1beta1/healthz
          initialDelaySeconds: 3
          periodSeconds: 5
          timeoutSeconds: 2
        volumeMounts:
        - mountPath: /etc/config
          name: config-volume
          readOnly: true
      serviceAccountName: ml-pipeline-ui
      volumes:
      - configMap:
          name: ml-pipeline-ui-configmap
        name: config-volume
