# kubectl create namespace kevisual
apiVersion: apps/v1
kind: Deployment
metadata:
  name: esm
  namespace: kevisual
  labels:
    app: esm
spec:
  replicas: 1
  selector:
    matchLabels:
      app: esm
  template:
    metadata:
      labels:
        app: esm
    spec:
      containers:
      - name: esm
        image: ghcr.io/esm-dev/esm.sh:v136
        ports:
        - containerPort: 12000
          protocol: TCP
        env:
        - name: LOG_LEVEL
          value: "info"
        - name: NPM_REGISTRY
          value: "https://registry.npmmirror.com/"
        - name: STORAGE_TYPE
          value: "s3"
        - name: STORAGE_S3_ENDPOINT
          value: "http://kevisual.cn:9000"
        - name: STORAGE_S3_ACCESS_KEY_ID
          value: "abearxiong"
        - name: STORAGE_S3_SECRET_ACCESS_KEY
          value: "xiongxiao"
      nodeSelector:
        machine: "kevisual"
  
---
apiVersion: v1
kind: Service
metadata:
  name: esm
  namespace: kevisual
  labels:
    app: esm
spec:
  type: ClusterIP
  ports:
  - port: 12000
    targetPort: 12000
    protocol: TCP
    name: http
  selector:
    app: esm

---
apiVersion: traefik.io/v1alpha1
kind: IngressRoute
metadata:
  name: esm-https
  namespace: kevisual
spec:
  entryPoints:
    - websecure
  routes:
    - match: Host(`esm.kevisual.cn`)
      kind: Rule
      services:
        - name: esm
          port: 12000
  tls:
    certResolver: letsencrypt