class_docstr: Search Query teacher.
  
  Given an input context, predict the title of the document from which the "gold"
  knowledge is derived.
class_docstr_tok: ["Search","Query","teacher",".","Given","an","input","context",",","predict","the","title","of","the","document","from","which","the","``","gold","''","knowledge","is","derived","."]
code: def finalize_message(self, msg: Dict[str, Any]) -> Message:
      assert (
          len(msg[CONST.SELECTED_DOCS_TITLES]) == 1
      ), "Only 1 doc must be selected by this teacher."
  
      label = msg[CONST.SELECTED_DOCS_TITLES][0]
      msg["text"] = self._clean_text(msg[NO_KNOWLEDGE_FIELD], label)
      msg["labels"] = [label]
      return Message(msg)
  
imports: from abc import ABC, abstractmethod
  import os
  from typing import Tuple, List, Optional, Any, Dict
  import random
  from parlai.core.message import Message
  from parlai.core.metrics import F1Metric, BleuMetric, RougeMetric, AverageMetric, ExactMatchMetric, normalize_answer
  from parlai.core.opt import Opt
  from parlai.core.params import ParlaiParser
  from parlai.core.teachers import ChunkTeacher, ChunkOutput
  import parlai.tasks.wizard_of_internet.constants
  from parlai.utils.conversations import Conversations
  from parlai.utils.data import DatatypeHelper
  import parlai.utils.logging
  from parlai.tasks.wizard_of_wikipedia.agents import TOKEN_KNOWLEDGE, TOKEN_END_KNOWLEDGE
  from projects.seeker.utils import extract_entities, remove_possible_title_from_text
label_desc: Use image node_id 4 for calling the SearchQueryTeacher obj's underlying member method code with example usage: obj.finalize_message(msg) and returns: Message