issue with google_cloud_pipeline_components 0.1.9 ModelUploadOp ("invalid value")

with the v0.1.9 of ModelUploadOp I’m seeing the following error. I confirmed that things work fine in 0.1.7.

PORT is set as follows:

PORT = 8080

Then, in the pipeline definition, ModelUploadOp is configured as follows:

    model_upload_op = gcc_aip.ModelUploadOp(
        project=project,
        display_name=model_display_name,
        serving_container_image_uri=build_image_task.outputs['serving_container_uri'],
        serving_container_predict_route="/predictions/{}".format(MAR_MODEL_NAME),
        serving_container_health_route="/ping",
        serving_container_ports=[PORT]

This is the error I see (again, I do NOT see this problem with v0.1.7):

2021-11-01 13:01:17.976 PDTRuntimeError: Failed to create the resource. Error: {'code': 400, 'message': "Invalid value at 'model.container_spec.ports[0]' (type.googleapis.com/google.cloud.aiplatform.v1.Port), 8080", 'status': 'INVALID_ARGUMENT', 'details': [{'@type': 'type.googleapis.com/google.rpc.BadRequest', 'fieldViolations': [{'field': 'model.container_spec.ports[0]', 'description': "Invalid value at 'model.container_spec.ports[0]' (type.googleapis.com/google.cloud.aiplatform.v1.Port), 8080"}]}]}      

I wondered if something has changed about the expected format of this arg, but from the documentation (serving_container_ports (Optional[Sequence[int]]=None) it doesn’t seem so. Again, this code runs fine with 0.1.7.

[amygdala]

Interesting – the api spec says: serving_container_ports (Optional[Sequence[int]]=None): but maybe the docs need to be updated.

[jagadeeshi2i]

@amygdala try configuring port as below - serving_container_ports=[{"containerPort" : PORT}]. The component follows k8s v1/core spec. Worked for me with above config.