class_docstr: Task callback status information.
  
  A Class with information about the success/failure TI callback to be executed. Currently, only failure
  callbacks (when tasks are externally killed) and Zombies are run via DagFileProcessorProcess.
  
  :param full_filepath: File Path to use to run the callback
  :param simple_task_instance: Simplified Task Instance representation
  :param is_failure_callback: Flag to determine whether it is a Failure Callback or Success Callback
  :param msg: Additional Message that can be used for logging to determine failure/zombie
  :param processor_subdir: Directory used by Dag Processor when parsed the dag.
class_docstr_tok: ["Task","callback","status","information",".","A","Class","with","information","about","the","success\/failure","TI","callback","to","be","executed",".","Currently",",","only","failure","callbacks","(","when","tasks","are","externally","killed",")","and","Zombies","are","run","via","DagFileProcessorProcess",".",":","param","full_filepath",":","File","Path","to","use","to","run","the","callback",":","param","simple_task_instance",":","Simplified","Task","Instance","representation",":","param","is_failure_callback",":","Flag","to","determine","whether","it","is","a","Failure","Callback","or","Success","Callback",":","param","msg",":","Additional","Message","that","can","be","used","for","logging","to","determine","failure\/zombie",":","param","processor_subdir",":","Directory","used","by","Dag","Processor","when","parsed","the","dag","."]
code: def from_json(cls, json_str: str):
      from airflow.serialization.serialized_objects import (
          BaseSerialization,
      )
  
      val = json.loads(json_str)
      return cls(**BaseSerialization.deserialize(val))
  
file_path: airflow/airflow/callbacks/callback_requests.py
imports: from __future__ import annotations
  import json
  from typing import TYPE_CHECKING
label_desc: Use image node_id 3 for calling the TaskCallbackRequest obj's underlying member method code with example usage: obj.from_json(cls, json_str) and returns: cls