docstr: Add relevant fields to the final chat data.
docstr_tok: ["Add","relevant","fields","to","the","final","chat","data","."]
code: def get_final_chat_data(self) -> Dict[str, Any]:
      """
      Add relevant fields to the final chat data.
      """
  
      if self.check_acceptability:
          (
              human_messages,
              violation_types,
          ) = self._prepare_acceptability_checking()
          violations_string = self.acceptability_checker.check_messages(
              messages=human_messages,
              is_worker_0=False,
              violation_types=violation_types,
          )
      else:
          violations_string = None
  
      data = {
          "dialog": self.dialog,
          "workers": [get_mturk_id_from_mephisto_wrapper(self.agent)],
          "bad_workers": [],
          "acceptability_violations": (violations_string,),
          "hit_ids": [self.agent.mephisto_agent.task_run_id],
          "assignment_ids": [self.agent.mephisto_agent.assignment_id],
          "task_description": {
              "annotations_config": self.opt["annotations_config"],
              "model_1_nickname": self.bots[0].worker_id,
              "model_1_file": self.bots[0].model_agent.opt.get(
                  "model_file"
              ),
              "model_1_opt": self.bots[0].model_agent.opt,
              "model_2_nickname": self.bots[1].worker_id,
              "model_2_file": self.bots[1].model_agent.opt.get(
                  "model_file"
              ),
              "model_2_opt": self.bots[1].model_agent.opt,
          },
      }
      # 'bad_workers' is for compatibility. Before, it was only non-empty if a
      # worker abandoned, returned, etc. a HIT, but now we don't even save chat
      # data in that case
      if self.check_acceptability:
          data["acceptability_violations"] = (violations_string,)
          # Make a tuple for compatibility with a human/human conversation in
          # which we check both sides for acceptability
  
      context_data = {
          "personas": self.personas,
          "context_dataset": self.context_info.get("context_dataset"),
          "person1_seed_utterance": self.context_info.get(
              "person1_seed_utterance"
          ),
          "person2_seed_utterance": self.context_info.get(
              "person2_seed_utterance"
          ),
          "additional_context": self.context_info.get(
              "additional_context"
          ),
      }
      data.update(context_data)
      return data
  
imports: import random
  import parlai.utils.logging
  from typing import Any, Dict, Optional
  from parlai.core.agents import create_agent_from_shared
  from parlai.core.message import Message
  from parlai.core.worlds import validate
  from parlai.crowdsourcing.tasks.model_chat.constants import ONBOARD_SUCCESS
  from parlai.crowdsourcing.tasks.model_chat.utils import Compatibility
  from parlai.crowdsourcing.tasks.model_chat.worlds import BaseModelChatWorld, ModelChatWorld, ModelChatOnboardWorld
  from parlai.crowdsourcing.utils.acceptability import AcceptabilityChecker
  from parlai.crowdsourcing.utils.mturk import get_mturk_id_from_mephisto_wrapper
  from parlai.crowdsourcing.tasks.pairwise_per_turn_eval.bot_agent import PerTurnEvalTurkLikeAgent
label_desc: Use image node_id 4 for calling the PerTurnEvalWorld obj's underlying member method code with example usage: obj.get_final_chat_data() and returns: data