class_docstr: Hook for Google Cloud Vertex AI Pipeline Job APIs.
class_docstr_tok: ["Hook","for","Google","Cloud","Vertex","AI","Pipeline","Job","APIs","."]
docstr: Returns unique id of the pipeline_job.
docstr_tok: ["Returns","unique","id","of","the","pipeline_job","."]
code: def extract_pipeline_job_id(obj: dict) -> str:
      """Returns unique id of the pipeline_job."""
      return obj["name"].rpartition("/")[-1]
  
imports: from __future__ import annotations
  from typing import TYPE_CHECKING, Any, Sequence
  from google.api_core.client_options import ClientOptions
  from google.api_core.gapic_v1.method import DEFAULT, _MethodDefault
  from google.cloud.aiplatform import PipelineJob
  from google.cloud.aiplatform_v1 import PipelineServiceClient
  from airflow.exceptions import AirflowException
  from airflow.providers.google.common.consts import CLIENT_INFO
  from airflow.providers.google.common.hooks.base_google import GoogleBaseHook
label_desc: Use image node_id 4 for calling the PipelineJobHook obj's underlying member method code with example usage: obj.extract_pipeline_job_id(obj) and returns: obj