# This workflow demonstrates how to use the Cloud Build connector.
# The workflow creates a simple build and the image is stored to an Artifact Registery repo.
# The workflow assumes a properly defined source tgz file already
# exists in a Cloud Storage bucket: gs://your-project-id_cloudbuild/source/placeholder_src.tgz
# and a repository "your-project-id-docker-repo" already
# exists in Artifact Registry where the image will be stored.
# The new table and dataset are both deleted in the following steps.
# Expected successful output: "SUCCESS"
- init:
assign:
- project_id: ${sys.get_env("GOOGLE_CLOUD_PROJECT_ID")}
- location_id: "global"
- repo: ${project_id + "-docker-repo"}
- image_path: ${"us-central1-docker.pkg.dev/" + project_id + "/" + repo + "/quickstart-image:tag1"}
- create_build:
call: googleapis.cloudbuild.v1.projects.builds.create
args:
projectId: ${project_id}
parent: ${"projects/" + project_id + "/locations/" + location_id}
body:
source:
storageSource:
bucket: ${project_id + "_cloudbuild"}
object: "source/placeholder_src.tgz"
steps:
- name: "gcr.io/cloud-builders/docker"
args: ["build", "-t", ${image_path}, "."]
images: [${image_path}]
- the_end:
return: "SUCCESS"
