code: def two_step_kubeflow_artifacts_pipeline() -> tfx.dsl.Pipeline:
      """Builds 2-Step pipeline to test AI Platform simple artifact types."""
      step1 = ProducerComponent()
      step2 = ConsumerComponent(
          examples=step1.outputs["examples"],
          external_data=step1.outputs["external_data"],
      )
      return tfx.dsl.Pipeline(
          pipeline_name="two-step-kubeflow-artifacts-pipeline",
          pipeline_root=_TEST_PIPELINE_ROOT,
          components=[step1, step2],
          beam_pipeline_args=[
              "--project=my-gcp-project",
          ],
      )
  
imports: import datetime
  import os
  from typing import List
  from kfp.pipeline_spec import pipeline_spec_pb2
  import tensorflow_model_analysis
  from tfx import v1
  from tfx.components.example_gen import utils
  from tfx.components.trainer.executor import Executor
  from tfx.dsl.component.experimental import executor_specs
  from tfx.dsl.component.experimental import placeholders
  from tfx.dsl.components.base import base_component
  from tfx.dsl.components.base import base_executor
  from tfx.dsl.components.base import base_node
  from tfx.dsl.components.base import executor_spec
  from tfx.types import channel_utils
  from tfx.types import component_spec
  from tfx.types.experimental import simple_artifacts
  from tfx.utils import proto_utils
  from google.protobuf import message
label_desc: Use image node_id 13 for calling a global function with example usage: two_step_kubeflow_artifacts_pipeline() and returns: tfx