class_docstr: Model for storing dataset events that need processing.
class_docstr_tok: ["Model","for","storing","dataset","events","that","need","processing","."]
code: def __repr__(self):
      args = []
      for attr in [x.name for x in self.__mapper__.primary_key]:
          args.append(f"{attr}={getattr(self, attr)!r}")
      return f"{self.__class__.__name__}({', '.join(args)})"
  
imports: from __future__ import annotations
  from urllib.parse import urlsplit
  import sqlalchemy_jsonfield
  from sqlalchemy import Boolean, Column, ForeignKey, ForeignKeyConstraint, Index, Integer, PrimaryKeyConstraint, String, Table, text
  from sqlalchemy.orm import relationship
  from airflow.datasets import Dataset
  from airflow.models.base import Base, StringID
  from airflow.settings import json
  from airflow.utils import timezone
  from airflow.utils.sqlalchemy import UtcDateTime
label_desc: Use image node_id 3 for calling the DatasetDagRunQueue obj's underlying member method code with example usage: obj.__repr__() and returns: self, str, str, str