MachineLearning/cloudbuild.yaml at main · tabiapp/MachineLearning · GitHub

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steps:
  # Step 1: Build Docker image
  - name: "gcr.io/cloud-builders/docker"
    args: ["build", "-t", "asia-southeast2-docker.pkg.dev/$PROJECT_ID/apimodel/translate-api:$SHORT_SHA", "."]

  # Step 2: Push Docker image to Artifact Registry
  - name: "gcr.io/cloud-builders/docker"
    args: ["push", "asia-southeast2-docker.pkg.dev/$PROJECT_ID/apimodel/translate-api:$SHORT_SHA"]

  # Step 3: Deploy image to Cloud Run
  - name: "gcr.io/google.com/cloudsdktool/cloud-sdk"
    entrypoint: "gcloud"
    args:
      - "run"
      - "deploy"
      - "translate-api"
      - "--image"
      - "asia-southeast2-docker.pkg.dev/$PROJECT_ID/apimodel/translate-api:$SHORT_SHA"
      - "--platform"
      - "managed"
      - "--region"
      - "asia-southeast2"
      - "--allow-unauthenticated"
      - "--service-account=$SERVICE_ACCOUNT_EMAIL"

images:
  - "asia-southeast2-docker.pkg.dev/$PROJECT_ID/apimodel/translate-api:$SHORT_SHA"

logsBucket: "gs://tabi-translate/log_cloudbuild_tabiapp_api_translate"