In a Vertex AI pipeline (google_cloud_pipeline_components version: 1.0.19 kfp version: 1.8.13), I try:
does_endpoint_exist_op = does_endpoint_exist(project=project,
location=location, endpoint_name_in=endpoint_name)
endpoint_name=does_endpoint_exist_op.outputs['endpoint_name']
but this gives:
AssertionError: component_input_parameter: pipelineparam--does-endpoint-exist-endpoint_name not found.
The component is defined:
@component(
packages_to_install=["google-cloud-aiplatform",
"google-cloud-pipeline-components==1.0.19"],
output_component_file="does_endpoint_exist_component.yaml",
)
def does_endpoint_exist(project: str,
location: str,
endpoint_name_in: str, endpoint: Output[Artifact],
endpoint_name: Output[Artifact]) -> str:
I can do:
endpoint_name=does_endpoint_exist_op.outputs['Output']
OK, so why can't I access endpoint_name?
