code: def parley(self):
      print(
          f"{self.__class__.__name__}:{self.tag}: is at turn {self.task_turn_idx}, with {self.num_turns} pairs of turns needed..."
      )
  
      if self.task_turn_idx == 0:
          self._run_initial_turn()
          self.task_turn_idx += 1
          return
  
      """Otherwise, we proceed accordingly"""
      print(
          f"{self.__class__.__name__}:{self.tag}: About to act with task turn idx: {self.task_turn_idx}"
      )
      acts = [None, None]
      for idx, agent in enumerate([self.agent, self.bot]):
          if not self.chat_done:
              acts[idx] = agent.act(timeout=self.max_resp_time)
              if (
                  agent == self.bot
                  and hasattr(self.bot, "agent_id")
                  and self.bot.agent_id
              ):
                  # Set speaker name as self.bot_agent_id otherwise, at frontend bot name such as "TransformerGenerator" would appear
                  Compatibility.backward_compatible_force_set(
                      acts[idx], "id", self.bot.agent_id
                  )
              acts[idx] = Message(
                  Compatibility.maybe_fix_act(acts[idx])
              ).json_safe_payload()
              print(
                  f"Got act for agent idx {idx}, act was: {acts[idx]} and self.task_turn_idx: {self.task_turn_idx}."
              )
  
          if (
              acts[idx].get("task_data", {}).get("final_rating")
              is not None
          ):
              self.chat_done = True
              # agent ends chat after exceeding minimum number of turns
  
              # Human has just responded. Any problem data received now will be
              # regarding the bot's prior utterance
              turn_idx = -1
              # Attach the problem data and final rating to the last utterance, since
              # the human hasn't said anything since then
              p = acts[idx]["task_data"].get(
                  "problem_data_for_prior_message"
              )
              if p is not None:
                  self.__add_problem_data_to_utterance(
                      p, turn_idx=turn_idx
                  )
              self.dialog[turn_idx]["final_rating"] = acts[idx][
                  "task_data"
              ]["final_rating"]
  
              # Save the final chat data
              date_folder = time.strftime("%Y_%m_%d")
              time_string = time.strftime("%Y%m%d_%H%M%S")
              chat_data_subfolder = os.path.join(
                  self.opt["chat_data_folder"], date_folder
              )
              os.makedirs(chat_data_subfolder, exist_ok=True)
              chat_data_path = os.path.join(
                  chat_data_subfolder,
                  f"{time_string}_{np.random.randint(0, 1000)}_{self.task_type}.json",
              )
              self.final_chat_data = self.get_final_chat_data()
              self.agent.mephisto_agent.state.messages.append(
                  {
                      "final_chat_data": self.final_chat_data,
                      "data": {},
                      "packet_type": None,
                      "timestamp": None,
                  }
              )
              # Append the chat data directly to the agent state's message list in
              # order to prevent the worker from seeing a new text response in the UI.
              # Add some dummy keys for compatibility with all agent state messages
              # TODO: remove this when no longer saving data to disk manually
              with open(chat_data_path, "w+") as f_json:
                  data_str = json.dumps(self.final_chat_data)
                  f_json.write(data_str)
              print(
                  f"{self.__class__.__name__}:{self.tag}: Data saved at "
                  f"{chat_data_path} for model: {self.bot.worker_id}."
              )
  
              # Soft-block the worker if there were acceptability violations
              acceptability_violations = self.final_chat_data[
                  "acceptability_violations"
              ][0]
              if (
                  acceptability_violations is not None
                  and acceptability_violations != ""
              ):
                  print(
                      f"**NOTE** Acceptability violations detected: {acceptability_violations}"
                  )
                  # Grant the failed qualification
                  self.agent.mephisto_agent.get_worker().grant_qualification(
                      self.block_qualification, 1
                  )
  
              return
  
          else:
              utterance_data = {
                  "agent_idx": idx,
                  # Get rid of annotations HTML if it's the bot response
                  "text": acts[idx]["text"].split("<br>")[0],
                  "id": acts[idx].get(
                      "id", "NULL_ID"
                  ),  # In case model doesn't set id
              }
              self.dialog.append(utterance_data)
              if idx == 0:
                  # Human has just responded. Any problem data received now will be
                  # regarding the bot's prior utterance
                  p = acts[idx]["task_data"].get(
                      "problem_data_for_prior_message"
                  )
                  if p is not None:
                      turn_idx = -2
                      # Attach the problem data to the second-to-last utterance, since
                      # the last utterance is what the human just said
                      self.__add_problem_data_to_utterance(
                          p, turn_idx=turn_idx
                      )
  
              self._postprocess_acts(acts=acts, agent_idx=idx)
              for other_agent in [self.agent, self.bot]:
                  if other_agent != agent:
                      other_agent.observe(validate(acts[idx]))
  
              print(
                  f"[agent {idx}] self.task_turn_idx: {self.task_turn_idx}, self.dialog is: {self.dialog}"
              )
              self.task_turn_idx += 1
  
imports: import time
  import os
  import json
  from abc import ABC, abstractmethod
  from typing import Any, Dict, List, Optional, Tuple
  import numpy
  from parlai.core.agents import create_agent_from_shared
  from parlai.core.message import Message
  from parlai.core.worlds import validate
  from parlai.crowdsourcing.utils.acceptability import AcceptabilityChecker
  from parlai.crowdsourcing.utils.worlds import CrowdOnboardWorld, CrowdTaskWorld
  from parlai.crowdsourcing.tasks.model_chat.bot_agent import TurkLikeAgent
  from parlai.crowdsourcing.tasks.model_chat.constants import ONBOARD_FAIL, ONBOARD_SUCCESS
  from parlai.crowdsourcing.tasks.model_chat.utils import Compatibility
  from parlai.crowdsourcing.utils.mturk import get_mturk_id_from_mephisto_wrapper
  from typing import TYPE_CHECKING
label_desc: Use image node_id 3 for calling the BaseModelChatWorld obj's underlying member method code with example usage: obj.parley() without return types