class_docstr: Serializable representation of the TaskInstance ORM SqlAlchemyModel used by internal API.
class_docstr_tok: ["Serializable","representation","of","the","TaskInstance","ORM","SqlAlchemyModel","used","by","internal","API","."]
docstr: Set the log context.
docstr_tok: ["Set","the","log","context","."]
code: def init_run_context(self, raw: bool = False) -> None:
      """Set the log context."""
      self.raw = raw
      self._set_context(self)
  
imports: from __future__ import annotations
  from datetime import datetime
  from typing import TYPE_CHECKING, Any, Iterable, Optional
  from pydantic import BaseModel, ConfigDict, PlainSerializer, PlainValidator
  from typing_extensions import Annotated
  from airflow.models import Operator
  from airflow.models.baseoperator import BaseOperator
  from airflow.models.taskinstance import TaskInstance
  from airflow.serialization.pydantic.dag import DagModelPydantic
  from airflow.serialization.pydantic.dag_run import DagRunPydantic
  from airflow.utils.log.logging_mixin import LoggingMixin
  from airflow.utils.net import get_hostname
  from airflow.utils.session import NEW_SESSION, provide_session
  from airflow.utils.xcom import XCOM_RETURN_KEY
label_desc: Use image node_id 1 for calling the TaskInstancePydantic obj's underlying member method code with example usage: obj.init_run_context(raw) without return types