load pipeline from yaml about kfp-tekton HOT 2 OPEN

import kfp
from kfp import dsl

def say_hello(name: str) -> str:
    hello_text = f'Hello, {name}!'
    print(hello_text)
    return hello_text

say_hello = kfp.components.create_component_from_func(say_hello)

@dsl.pipeline(name="name", description="description")
def hello_pipeline(recipient: str) -> str:
    hello_task = say_hello(recipient)
    return hello_task.output


if __name__=="__main__":
    kfp.compiler.Compiler().compile(pipeline_func=hello_pipeline, package_path="./test.yaml")
    pipe = kfp.components.load_component_from_file("./test.yaml")

TypeError: Error: MetadataSpec.from_dict(struct=OrderedDict([('generateName', 'name-'), ('annotations', OrderedDict([('pipelines.kubeflow.org/kfp_sdk_version', '1.8.22'), ('pipelines.kubeflow.org/pipeline_compilation_time', '2023-09-12T09:51:53.515450'), ('pipelines.kubeflow.org/pipeline_spec', '{"description": "description", "inputs": [{"name": "recipient", "type": "String"}], "name": "name", "outputs": [{"name": "Output", "type": "String"}]}')])), ('labels', OrderedDict([('pipelines.kubeflow.org/kfp_sdk_version', '1.8.22')]))])) failed with exception:
__init__() got an unexpected keyword argument 'generateName'
Error: Structure "OrderedDict([('generateName', 'name-'), ('annotations', OrderedDict([('pipelines.kubeflow.org/kfp_sdk_version', '1.8.22'), ('pipelines.kubeflow.org/pipeline_compilation_time', '2023-09-12T09:51:53.515450'), ('pipelines.kubeflow.org/pipeline_spec', '{"description": "description", "inputs": [{"name": "recipient", "type": "String"}], "name": "name", "outputs": [{"name": "Output", "type": "String"}]}')])), ('labels', OrderedDict([('pipelines.kubeflow.org/kfp_sdk_version', '1.8.22')]))])" is not None.
Error: Structure "OrderedDict([('generateName', 'name-'), ('annotations', OrderedDict([('pipelines.kubeflow.org/kfp_sdk_version', '1.8.22'), ('pipelines.kubeflow.org/pipeline_compilation_time', '2023-09-12T09:51:53.515450'), ('pipelines.kubeflow.org/pipeline_spec', '{"description": "description", "inputs": [{"name": "recipient", "type": "String"}], "name": "name", "outputs": [{"name": "Output", "type": "String"}]}')])), ('labels', OrderedDict([('pipelines.kubeflow.org/kfp_sdk_version', '1.8.22')]))])" is incompatible with type "typing.Optional[kfp.components._structures.MetadataSpec]" - none of the types in Union are compatible.