# Step 1: Install all required gcp packaes 
zenml integration install gcp

# Step 2: Register the GCP container registry
zenml container-registry register gcp_registry \
  --flavor=gcp \
  --uri="<YOUR URI>"

# Step 3: Update your stack to use the selected container registry
# Make sure your stack already contains a remote artifact store
# and orchestrator
zenml stack update -c gcp_registry

# Step 4: Set up authentication (choose one method)
zenml container-registry connect gcp_registry -i

# Step 5: Validate that your stack has a remote orchestrator in it
# Not all orchestrators require a built image, so in order to use the
# container registry you would need a remote orchestrator/step operator
# used in your stack
zenml stack describe

from zenml import pipeline, step

@step
def example_step():
    print("This step will be containerized and pushed to GCP container registry")

@pipeline
def my_pipeline():
    example_step()

if __name__ == "__main__":
    my_pipeline()