cloudbuild-prod.yaml

steps:
  # Create the .env.prod file with environment variables
  - name: "gcr.io/cloud-builders/gcloud"
    entrypoint: "bash"
    args:
      - "-c"
      - |
        echo "NEXT_PUBLIC_ROOT_URL=https://gw.dados.rio/plataforma-clima-staging" > .env.production && \
        echo "NEXT_PUBLIC_MAPBOX_API_KEY=pk.eyJ1IjoiZXNjcml0b3Jpb2RlZGFkb3MiLCJhIjoiY2t3bWdmcHpjMmJ2cTJucWJ4MGQ1Mm1kbiJ9.4hHJX-1pSevYoBbja7Pq4w" >> .env.production

  # Build the container image
  - name: "gcr.io/cloud-builders/docker"
    args:
      ["build", "-t", "gcr.io/$PROJECT_ID/plataforma-clima:$COMMIT_SHA", "."]

  # Push the container image to Container Registry
  - name: "gcr.io/cloud-builders/docker"
    args: ["push", "gcr.io/$PROJECT_ID/plataforma-clima:$COMMIT_SHA"]

  # Kustomize: set the image in the kustomization.yaml file
  - name: "gcr.io/cloud-builders/gke-deploy"
    dir: "k8s/prod"
    entrypoint: "kustomize"
    args:
      - "edit"
      - "set"
      - "image"
      - "gcr.io/project-id/plataforma-clima=gcr.io/$PROJECT_ID/plataforma-clima:$COMMIT_SHA"

  # Kustomize: apply the kustomization.yaml file
  - name: "gcr.io/cloud-builders/gke-deploy"
    dir: "k8s/prod"
    entrypoint: "kustomize"
    args: ["build", ".", "-o", "prod.yaml"]

  # Deploy the application to the GKE cluster
  - name: "gcr.io/cloud-builders/gke-deploy"
    dir: "k8s/prod"
    args:
      - "run"
      - "--filename=prod.yaml"
      - "--location=us-central1"
      - "--cluster=datario"
      - "--project=datario"

images:
  - "gcr.io/$PROJECT_ID/plataforma-clima:$COMMIT_SHA"