diff --git a/src/experimental/PFC/PFC_idle/idle_chat.py b/src/experimental/PFC/PFC_idle/idle_chat.py index dff5d954..1b551a32 100644 --- a/src/experimental/PFC/PFC_idle/idle_chat.py +++ b/src/experimental/PFC/PFC_idle/idle_chat.py @@ -19,7 +19,7 @@ from src.chat.utils.chat_message_builder import build_readable_messages from ..chat_observer import ChatObserver from ..message_sender import DirectMessageSender from src.chat.message_receive.chat_stream import ChatStream, chat_manager -from maim_message import UserInfo +from maim_message import UserInfo, Seg from ..pfc_relationship import PfcRepationshipTranslator from rich.traceback import install @@ -534,8 +534,9 @@ class IdleChat: # 发送消息 try: + segments = Seg(type="seglist", data=[Seg(type="text", data=content)]) logger.debug(f"[私聊][{self.private_name}]准备发送主动聊天消息: {content}") - await self.message_sender.send_message(chat_stream=chat_stream, content=content, reply_to_message=None) + await self.message_sender.send_message(chat_stream=chat_stream, segments=segments, reply_to_message=None, content=content) logger.info(f"[私聊][{self.private_name}]成功主动发起聊天: {content}") except Exception as e: logger.error(f"[私聊][{self.private_name}]发送主动聊天消息失败: {str(e)}") diff --git a/src/experimental/PFC/action_factory.py b/src/experimental/PFC/action_factory.py new file mode 100644 index 00000000..e04b88d0 --- /dev/null +++ b/src/experimental/PFC/action_factory.py @@ -0,0 +1,62 @@ +from abc import ABC, abstractmethod +from typing import Optional, Type, TYPE_CHECKING + +# 从 action_handlers.py 导入具体的处理器类 +from .action_handlers import ( # 调整导入路径 + ActionHandler, + DirectReplyHandler, + SendNewMessageHandler, + SayGoodbyeHandler, + SendMemesHandler, + RethinkGoalHandler, + ListeningHandler, + EndConversationHandler, + BlockAndIgnoreHandler, + WaitHandler, + UnknownActionHandler, +) + +if TYPE_CHECKING: + from PFC.conversation import Conversation # 调整导入路径 + +class AbstractActionFactory(ABC): + """抽象动作工厂接口。""" + @abstractmethod + def create_action_handler(self, action_type: str, conversation: "Conversation") -> ActionHandler: + """ + 根据动作类型创建并返回相应的动作处理器。 + + 参数: + action_type (str): 动作的类型字符串。 + conversation (Conversation): 当前对话实例。 + + 返回: + ActionHandler: 对应动作类型的处理器实例。 + """ + pass + +class StandardActionFactory(AbstractActionFactory): + """标准的动作工厂实现。""" + def create_action_handler(self, action_type: str, conversation: "Conversation") -> ActionHandler: + """ + 根据动作类型创建并返回具体的动作处理器实例。 + """ + # 动作类型到处理器类的映射 + handler_map: dict[str, Type[ActionHandler]] = { + "direct_reply": DirectReplyHandler, + "send_new_message": SendNewMessageHandler, + "say_goodbye": SayGoodbyeHandler, + "send_memes": SendMemesHandler, + "rethink_goal": RethinkGoalHandler, + "listening": ListeningHandler, + "end_conversation": EndConversationHandler, + "block_and_ignore": BlockAndIgnoreHandler, + "wait": WaitHandler, + } + handler_class = handler_map.get(action_type) # 获取对应的处理器类 + # 如果找到对应的处理器类 + if handler_class: + return handler_class(conversation) # 创建并返回处理器实例 + else: + # 如果未找到，返回处理未知动作的默认处理器 + return UnknownActionHandler(conversation) \ No newline at end of file diff --git a/src/experimental/PFC/action_handlers.py b/src/experimental/PFC/action_handlers.py new file mode 100644 index 00000000..d939ba41 --- /dev/null +++ b/src/experimental/PFC/action_handlers.py @@ -0,0 +1,655 @@ +from abc import ABC, abstractmethod +import time +import asyncio +import datetime +import traceback +import json +from typing import Optional, Set, TYPE_CHECKING, List, Tuple # 确保导入 List 和 Tuple + +from src.chat.emoji_system.emoji_manager import emoji_manager +from src.common.logger_manager import get_logger +from src.config.config import global_config +from src.chat.utils.chat_message_builder import build_readable_messages +from PFC.pfc_types import ConversationState +from PFC.observation_info import ObservationInfo +from PFC.conversation_info import ConversationInfo +from src.chat.utils.utils_image import image_path_to_base64 +from maim_message import Seg, UserInfo +from src.chat.message_receive.message import MessageSending, MessageSet +from src.chat.message_receive.message_sender import message_manager +# PFC.message_sender 已经包含 DirectMessageSender，这里不再需要单独导入 + +if TYPE_CHECKING: + from PFC.conversation import Conversation + +logger = get_logger("pfc_action_handlers") + + +class ActionHandler(ABC): + """处理动作的抽象基类。""" + def __init__(self, conversation: "Conversation"): + self.conversation = conversation + self.logger = logger + + @abstractmethod + async def execute( + self, + reason: str, + observation_info: Optional[ObservationInfo], + conversation_info: Optional[ConversationInfo], + action_start_time: float, + current_action_record: dict + ) -> tuple[bool, str, str]: + """ + 执行动作。 + + 返回: + 一个元组，包含: + - action_successful (bool): 动作是否成功。 + - final_status (str): 动作的最终状态。 + - final_reason (str): 最终状态的原因。 + """ + pass + + async def _send_reply_or_segments(self, segments_data: list[Seg], content_for_log: str) -> bool: + """ + 辅助函数，用于发送消息（文本或图片段）。 + """ + if not self.conversation.direct_sender: + self.logger.error(f"[私聊][{self.conversation.private_name}] DirectMessageSender 未初始化，无法发送。") + return False + if not self.conversation.chat_stream: + self.logger.error(f"[私聊][{self.conversation.private_name}] ChatStream 未初始化，无法发送。") + return False + + try: + final_segments = Seg(type="seglist", data=segments_data) + await self.conversation.direct_sender.send_message( + chat_stream=self.conversation.chat_stream, + segments=final_segments, + reply_to_message=None, + content=content_for_log + ) + if self.conversation.conversation_info: + self.conversation.conversation_info.my_message_count += 1 + self.conversation.state = ConversationState.ANALYZING + return True + except Exception as e: + self.logger.error(f"[私聊][{self.conversation.private_name}] 发送消息时失败: {str(e)}") + self.logger.error(f"[私聊][{self.conversation.private_name}] {traceback.format_exc()}") + self.conversation.state = ConversationState.ERROR + return False + + async def _update_bot_message_in_history( + self, + send_time: float, + message_content: str, # 对于图片，这应该是描述性的文本 + observation_info: ObservationInfo, + message_id_prefix: str = "bot_sent_" + ): + """在机器人发送消息后，更新 ObservationInfo 中的聊天记录。""" + if not self.conversation.bot_qq_str: + self.logger.warning(f"[私聊][{self.conversation.private_name}] Bot QQ ID 未知，无法更新机器人消息历史。") + return + + bot_message_dict = { + "message_id": f"{message_id_prefix}{send_time}", + "time": send_time, + "user_info": { + "user_id": self.conversation.bot_qq_str, + "user_nickname": global_config.BOT_NICKNAME, + "platform": self.conversation.chat_stream.platform if self.conversation.chat_stream else "unknown_platform", + }, + "processed_plain_text": message_content, + "detailed_plain_text": message_content, + } + observation_info.chat_history.append(bot_message_dict) + observation_info.chat_history_count = len(observation_info.chat_history) + self.logger.debug( + f"[私聊][{self.conversation.private_name}] {global_config.BOT_NICKNAME}发送的消息已添加到 chat_history。当前历史数: {observation_info.chat_history_count}" + ) + + max_history_len = getattr(global_config, "pfc_max_chat_history_for_checker", 50) + if len(observation_info.chat_history) > max_history_len: + observation_info.chat_history = observation_info.chat_history[-max_history_len:] + observation_info.chat_history_count = len(observation_info.chat_history) + + history_slice_for_str = observation_info.chat_history[-30:] + try: + observation_info.chat_history_str = await build_readable_messages( + history_slice_for_str, + replace_bot_name=True, + merge_messages=False, + timestamp_mode="relative", + read_mark=0.0, + ) + except Exception as e_build_hist: + self.logger.error(f"[私聊][{self.conversation.private_name}] 更新 chat_history_str 时出错: {e_build_hist}") + observation_info.chat_history_str = "[构建聊天记录出错]" + + async def _update_post_send_states( + self, + send_time: float, + observation_info: ObservationInfo, + conversation_info: ConversationInfo, + action_type: str, # "direct_reply", "send_new_message", "say_goodbye", "send_memes" + event_description_for_emotion: str + ): + """处理发送消息成功后的通用状态更新。""" + if self.conversation.idle_chat: + await self.conversation.idle_chat.update_last_message_time(send_time) + + # 清理已处理的未读消息 (只清理在发送这条回复之前的、来自他人的消息) + current_unprocessed_messages = getattr(observation_info, "unprocessed_messages", []) + message_ids_to_clear: Set[str] = set() + timestamp_before_sending = send_time - 0.001 # 确保是发送前的时间 + for msg in current_unprocessed_messages: + msg_time = msg.get("time") + msg_id = msg.get("message_id") + sender_id_info = msg.get("user_info", {}) + sender_id = str(sender_id_info.get("user_id")) if sender_id_info else None + + if ( + msg_id + and msg_time + and sender_id != self.conversation.bot_qq_str + and msg_time < timestamp_before_sending + ): + message_ids_to_clear.add(msg_id) + + if message_ids_to_clear: + self.logger.debug( + f"[私聊][{self.conversation.private_name}] 准备清理 {len(message_ids_to_clear)} 条发送前(他人)消息: {message_ids_to_clear}" + ) + await observation_info.clear_processed_messages(message_ids_to_clear) + else: + self.logger.debug(f"[私聊][{self.conversation.private_name}] 没有需要清理的发送前(他人)消息。") + + # 更新追问状态 + other_new_msg_count_during_planning = getattr( + conversation_info, "other_new_messages_during_planning_count", 0 + ) + if action_type in ["direct_reply", "send_new_message", "send_memes"]: + if other_new_msg_count_during_planning > 0 and action_type == "direct_reply": + self.logger.debug( + f"[私聊][{self.conversation.private_name}] 因规划期间收到 {other_new_msg_count_during_planning} 条他人新消息，下一轮强制使用【初始回复】逻辑。" + ) + conversation_info.last_successful_reply_action = None + else: + self.logger.debug( + f"[私聊][{self.conversation.private_name}] 成功执行 '{action_type}', 下一轮【允许】使用追问逻辑。" + ) + conversation_info.last_successful_reply_action = action_type + + # 更新实例消息计数和关系/情绪 + conversation_info.current_instance_message_count += 1 + self.logger.debug( + f"[私聊][{self.conversation.private_name}] 实例消息计数({global_config.BOT_NICKNAME}发送后)增加到: {conversation_info.current_instance_message_count}" + ) + await self._update_relationship_and_emotion(observation_info, conversation_info, event_description_for_emotion) + + async def _update_relationship_and_emotion( + self, + observation_info: ObservationInfo, + conversation_info: ConversationInfo, + event_description: str + ): + """辅助方法：更新关系和情绪状态。""" + if self.conversation.relationship_updater and self.conversation.chat_observer: + await self.conversation.relationship_updater.update_relationship_incremental( + conversation_info=conversation_info, + observation_info=observation_info, + chat_observer_for_history=self.conversation.chat_observer, + ) + if self.conversation.emotion_updater and self.conversation.chat_observer: + await self.conversation.emotion_updater.update_emotion_based_on_context( + conversation_info=conversation_info, + observation_info=observation_info, + chat_observer_for_history=self.conversation.chat_observer, + event_description=event_description, + ) + + +class BaseTextReplyHandler(ActionHandler): + """ + 处理基于文本的回复动作的基类，包含生成-检查-重试的循环。 + 适用于 DirectReplyHandler 和 SendNewMessageHandler。 + """ + async def _generate_and_check_text_reply_loop( + self, + action_type: str, # "direct_reply" or "send_new_message" + observation_info: ObservationInfo, + conversation_info: ConversationInfo, + max_attempts: int + ) -> Tuple[bool, Optional[str], str, bool, bool]: + """ + 管理生成文本回复并检查其适用性的循环。 + 对于 send_new_message，它还处理来自 ReplyGenerator 的初始 JSON 决策。 + + 返回: + is_suitable (bool): 是否找到了合适的回复或作出了发送决策。 + generated_content (Optional[str]): 要发送的内容；如果 ReplyGenerator 决定不发送 (send_new_message)，则为 None。 + check_reason (str): 检查器或生成失败的原因。 + need_replan_from_checker (bool): 如果检查器要求重新规划。 + should_send_reply_for_new_message (bool): 特定于 send_new_message，如果 ReplyGenerator 决定发送则为 True。 + """ + reply_attempt_count = 0 + is_suitable = False + generated_content_to_send: Optional[str] = None + final_check_reason = "未开始检查" + need_replan = False + # should_send_reply_for_new_message 仅用于 send_new_message 动作类型 + should_send_reply_for_new_message = True if action_type == "direct_reply" else False # direct_reply 总是尝试发送 + + while reply_attempt_count < max_attempts and not is_suitable and not need_replan: + reply_attempt_count += 1 + log_prefix = f"[私聊][{self.conversation.private_name}] 尝试生成/检查 '{action_type}' (第 {reply_attempt_count}/{max_attempts} 次)..." + self.logger.info(log_prefix) + + self.conversation.state = ConversationState.GENERATING + if not self.conversation.reply_generator: + # 这个应该在 Conversation 初始化时就保证了，但以防万一 + raise RuntimeError(f"ReplyGenerator 未为 {self.conversation.private_name} 初始化") + + raw_llm_output = await self.conversation.reply_generator.generate( + observation_info, conversation_info, action_type=action_type + ) + self.logger.debug(f"{log_prefix} ReplyGenerator.generate 返回: '{raw_llm_output}'") + + current_content_for_check = raw_llm_output + + if action_type == "send_new_message": + parsed_json = None + try: + parsed_json = json.loads(raw_llm_output) + except json.JSONDecodeError: + self.logger.error(f"{log_prefix} ReplyGenerator 返回的不是有效的JSON: {raw_llm_output}") + conversation_info.last_reply_rejection_reason = "回复生成器未返回有效JSON" + conversation_info.last_rejected_reply_content = raw_llm_output + should_send_reply_for_new_message = False # 标记不发送 + is_suitable = True # 决策已做出（不发送），所以认为是 "suitable" 以跳出循环 + final_check_reason = "回复生成器JSON解析失败，决定不发送" + generated_content_to_send = None # 明确不发送内容 + break # 跳出重试循环 + + if parsed_json: + send_decision = parsed_json.get("send", "no").lower() + generated_text_from_json = parsed_json.get("txt", "") # 如果不发送，txt可能是"no" + + if send_decision == "yes": + should_send_reply_for_new_message = True + current_content_for_check = generated_text_from_json + self.logger.info(f"{log_prefix} ReplyGenerator 决定发送消息。内容初步为: '{current_content_for_check[:100]}...'") + else: # send_decision is "no" + should_send_reply_for_new_message = False + is_suitable = True # 决策已做出（不发送） + final_check_reason = "回复生成器决定不发送" + generated_content_to_send = None + self.logger.info(f"{log_prefix} ReplyGenerator 决定不发送消息。") + break # 跳出重试循环 + + # 如果是 direct_reply 或者 send_new_message 且决定要发送，则检查内容 + if not current_content_for_check or current_content_for_check.startswith("抱歉") or current_content_for_check.strip() == "" or (action_type == "send_new_message" and current_content_for_check == "no" and should_send_reply_for_new_message): + warning_msg = f"{log_prefix} 生成内容无效或为错误提示" + if action_type == "send_new_message" and current_content_for_check == "no" and should_send_reply_for_new_message: + warning_msg += " (ReplyGenerator决定发送但文本为'no')" + self.logger.warning(warning_msg + "，将进行下一次尝试 (如果适用)。") + final_check_reason = "生成内容无效" + conversation_info.last_reply_rejection_reason = final_check_reason + conversation_info.last_rejected_reply_content = current_content_for_check + await asyncio.sleep(0.5) + continue + + # --- 内容检查 --- + self.conversation.state = ConversationState.CHECKING + if not self.conversation.reply_checker: + raise RuntimeError(f"ReplyChecker 未为 {self.conversation.private_name} 初始化") + + current_goal_str = "" + if conversation_info.goal_list: + goal_item = conversation_info.goal_list[-1] + current_goal_str = goal_item.get("goal", "") if isinstance(goal_item, dict) else str(goal_item) + + chat_history_for_check = getattr(observation_info, "chat_history", []) + chat_history_text_for_check = getattr(observation_info, "chat_history_str", "") + current_time_value_for_check = observation_info.current_time_str or "获取时间失败" + + if global_config.enable_pfc_reply_checker: + self.logger.debug(f"{log_prefix} 调用 ReplyChecker 检查 (配置已启用)...") + is_suitable_check, reason_check, need_replan_check = await self.conversation.reply_checker.check( + reply=current_content_for_check, goal=current_goal_str, + chat_history=chat_history_for_check, chat_history_text=chat_history_text_for_check, + current_time_str=current_time_value_for_check, retry_count=(reply_attempt_count - 1) + ) + self.logger.info( + f"{log_prefix} ReplyChecker 结果: 合适={is_suitable_check}, 原因='{reason_check}', 需重规划={need_replan_check}" + ) + else: + is_suitable_check, reason_check, need_replan_check = True, "ReplyChecker 已通过配置关闭", False + self.logger.debug(f"{log_prefix} [配置关闭] ReplyChecker 已跳过，默认回复为合适。") + + is_suitable = is_suitable_check + final_check_reason = reason_check + need_replan = need_replan_check + + if not is_suitable: + conversation_info.last_reply_rejection_reason = final_check_reason + conversation_info.last_rejected_reply_content = current_content_for_check + if final_check_reason == "机器人尝试发送重复消息" and not need_replan: + self.logger.warning(f"{log_prefix} 回复因自身重复被拒绝。将重试。") + elif not need_replan and reply_attempt_count < max_attempts: + self.logger.warning(f"{log_prefix} 回复不合适: {final_check_reason}。将重试。") + else: # 需要重规划或达到最大次数 + self.logger.warning(f"{log_prefix} 回复不合适且(需要重规划或已达最大次数): {final_check_reason}") + break # 结束循环 + await asyncio.sleep(0.5) # 重试前暂停 + else: # is_suitable is True + generated_content_to_send = current_content_for_check + conversation_info.last_reply_rejection_reason = None + conversation_info.last_rejected_reply_content = None + break # 成功，跳出循环 + + # 确保即使循环结束，如果 should_send_reply_for_new_message 为 False，则 is_suitable 也为 True（表示决策完成） + if action_type == "send_new_message" and not should_send_reply_for_new_message: + is_suitable = True # 决策已完成（不发送） + generated_content_to_send = None # 确认不发送任何内容 + + return is_suitable, generated_content_to_send, final_check_reason, need_replan, should_send_reply_for_new_message + + +class DirectReplyHandler(BaseTextReplyHandler): + """处理直接回复动作的处理器。""" + async def execute( + self, + reason: str, + observation_info: Optional[ObservationInfo], + conversation_info: Optional[ConversationInfo], + action_start_time: float, + current_action_record: dict + ) -> tuple[bool, str, str]: + if not observation_info or not conversation_info: + return False, "error", "DirectReply 的 ObservationInfo 或 ConversationInfo 为空" + + action_successful = False + final_status = "recall" + final_reason = "直接回复动作未成功执行" + max_reply_attempts: int = getattr(global_config, "pfc_max_reply_attempts", 3) + + is_suitable, generated_content, check_reason, need_replan, _ = await self._generate_and_check_text_reply_loop( + action_type="direct_reply", + observation_info=observation_info, + conversation_info=conversation_info, + max_attempts=max_reply_attempts + ) + + if is_suitable and generated_content: + self.conversation.generated_reply = generated_content + timestamp_before_sending = time.time() + self.conversation.state = ConversationState.SENDING + text_segment = Seg(type="text", data=self.conversation.generated_reply) + send_success = await self._send_reply_or_segments([text_segment], self.conversation.generated_reply) + send_end_time = time.time() + + if send_success: + action_successful = True + final_status = "done" + final_reason = "成功发送直接回复" + await self._update_bot_message_in_history(send_end_time, self.conversation.generated_reply, observation_info) + event_desc = f"你直接回复了消息: '{self.conversation.generated_reply[:50]}...'" + await self._update_post_send_states(send_end_time, observation_info, conversation_info, "direct_reply", event_desc) + else: + final_status = "recall"; final_reason = "发送直接回复时失败"; action_successful = False + conversation_info.last_successful_reply_action = None + conversation_info.my_message_count = 0 + elif need_replan: + final_status = "recall"; final_reason = f"回复检查要求重新规划: {check_reason}" + conversation_info.last_successful_reply_action = None + else: # 达到最大尝试次数或生成内容无效 + final_status = "max_checker_attempts_failed" + final_reason = f"达到最大回复尝试次数或生成内容无效，检查原因: {check_reason}" + action_successful = False + conversation_info.last_successful_reply_action = None + + return action_successful, final_status, final_reason + + +class SendNewMessageHandler(BaseTextReplyHandler): + """处理发送新消息动作的处理器。""" + async def execute( + self, + reason: str, + observation_info: Optional[ObservationInfo], + conversation_info: Optional[ConversationInfo], + action_start_time: float, + current_action_record: dict + ) -> tuple[bool, str, str]: + if not observation_info or not conversation_info: + return False, "error", "SendNewMessage 的 ObservationInfo 或 ConversationInfo 为空" + + action_successful = False + final_status = "recall" + final_reason = "发送新消息动作未成功执行" + max_reply_attempts: int = getattr(global_config, "pfc_max_reply_attempts", 3) + + is_suitable, generated_content, check_reason, need_replan, should_send = await self._generate_and_check_text_reply_loop( + action_type="send_new_message", + observation_info=observation_info, + conversation_info=conversation_info, + max_attempts=max_reply_attempts + ) + + if not should_send: # ReplyGenerator 决定不发送 + self.logger.info(f"[私聊][{self.conversation.private_name}] 动作 'send_new_message': ReplyGenerator 决定不发送。原因: {check_reason}") + final_status = "done_no_reply" + final_reason = check_reason if check_reason else "回复生成器决定不发送消息" + action_successful = True # 决策本身是成功的 + conversation_info.last_successful_reply_action = None + conversation_info.my_message_count = 0 + elif is_suitable and generated_content: # 决定发送且内容合适 + self.conversation.generated_reply = generated_content + timestamp_before_sending = time.time() + self.conversation.state = ConversationState.SENDING + text_segment = Seg(type="text", data=self.conversation.generated_reply) + send_success = await self._send_reply_or_segments([text_segment], self.conversation.generated_reply) + send_end_time = time.time() + + if send_success: + action_successful = True + final_status = "done" + final_reason = "成功发送新消息" + await self._update_bot_message_in_history(send_end_time, self.conversation.generated_reply, observation_info) + event_desc = f"你发送了一条新消息: '{self.conversation.generated_reply[:50]}...'" + await self._update_post_send_states(send_end_time, observation_info, conversation_info, "send_new_message", event_desc) + else: + final_status = "recall"; final_reason = "发送新消息时失败"; action_successful = False + conversation_info.last_successful_reply_action = None + conversation_info.my_message_count = 0 + elif need_replan: + final_status = "recall"; final_reason = f"回复检查要求重新规划: {check_reason}" + conversation_info.last_successful_reply_action = None + else: # 达到最大尝试次数或生成内容无效 + final_status = "max_checker_attempts_failed" + final_reason = f"达到最大回复尝试次数或生成内容无效，检查原因: {check_reason}" + action_successful = False + conversation_info.last_successful_reply_action = None + + return action_successful, final_status, final_reason + + +class SayGoodbyeHandler(ActionHandler): + """处理发送告别语动作的处理器。""" + async def execute( + self, + reason: str, + observation_info: Optional[ObservationInfo], + conversation_info: Optional[ConversationInfo], + action_start_time: float, + current_action_record: dict + ) -> tuple[bool, str, str]: + if not observation_info or not conversation_info: + return False, "error", "SayGoodbye 的 ObservationInfo 或 ConversationInfo 为空" + + action_successful = False + final_status = "recall" + final_reason = "告别语动作未成功执行" + + self.conversation.state = ConversationState.GENERATING + if not self.conversation.reply_generator: + raise RuntimeError("ReplyGenerator 未初始化") + + generated_content = await self.conversation.reply_generator.generate( + observation_info, conversation_info, action_type="say_goodbye" + ) + self.logger.info( + f"[私聊][{self.conversation.private_name}] 动作 'say_goodbye': 生成内容: '{generated_content[:100]}...'" + ) + + if not generated_content or generated_content.startswith("抱歉"): + self.logger.warning( + f"[私聊][{self.conversation.private_name}] 动作 'say_goodbye': 生成内容为空或为错误提示，取消发送。" + ) + final_reason = "生成告别内容无效" + final_status = "done" + self.conversation.should_continue = False + action_successful = True # 即使不发送，结束对话的决策也算完成 + else: + self.conversation.generated_reply = generated_content + self.conversation.state = ConversationState.SENDING + text_segment = Seg(type="text", data=self.conversation.generated_reply) + send_success = await self._send_reply_or_segments([text_segment], self.conversation.generated_reply) + send_end_time = time.time() + + if send_success: + action_successful = True + final_status = "done" + final_reason = "成功发送告别语" + self.conversation.should_continue = False + await self._update_bot_message_in_history(send_end_time, self.conversation.generated_reply, observation_info) + event_desc = f"你发送了告别消息: '{self.conversation.generated_reply[:50]}...'" + await self._update_post_send_states(send_end_time, observation_info, conversation_info, "say_goodbye", event_desc) + else: + final_status = "recall"; final_reason = "发送告别语失败"; action_successful = False + self.conversation.should_continue = True # 发送失败则不结束 + + return action_successful, final_status, final_reason + + +class SendMemesHandler(ActionHandler): + """处理发送表情包动作的处理器。""" + async def execute( + self, + reason: str, + observation_info: Optional[ObservationInfo], + conversation_info: Optional[ConversationInfo], + action_start_time: float, + current_action_record: dict + ) -> tuple[bool, str, str]: + if not observation_info or not conversation_info: + return False, "error", "SendMemes 的 ObservationInfo 或 ConversationInfo 为空" + + action_successful = False + final_status = "recall" + final_reason_prefix = "发送表情包" + final_reason = f"{final_reason_prefix}失败：未知原因" + self.conversation.state = ConversationState.GENERATING + + emoji_query = conversation_info.current_emoji_query + if not emoji_query: + final_reason = f"{final_reason_prefix}失败：缺少表情包查询语句" + conversation_info.last_successful_reply_action = None + return False, "recall", final_reason + + self.logger.info(f"[私聊][{self.conversation.private_name}] 动作 'send_memes': 使用查询 '{emoji_query}' 获取表情包...") + try: + emoji_result = await emoji_manager.get_emoji_for_text(emoji_query) + if emoji_result: + emoji_path, emoji_description = emoji_result + self.logger.info(f"获取到表情包: {emoji_path}, 描述: {emoji_description}") + + if not self.conversation.chat_stream: raise RuntimeError("ChatStream 未初始化") + image_b64_content = image_path_to_base64(emoji_path) + if not image_b64_content: raise ValueError(f"无法转换图片 {emoji_path} 为Base64") + + image_segment = Seg(type="image", data={"file": f"base64://{image_b64_content}"}) + log_content_for_meme = f"[表情: {emoji_description}]" + send_success = await self._send_reply_or_segments([image_segment], log_content_for_meme) + send_end_time = time.time() + + if send_success: + action_successful = True + final_status = "done" + final_reason = f"{final_reason_prefix}成功发送 ({emoji_description})" + await self._update_bot_message_in_history(send_end_time, log_content_for_meme, observation_info, "bot_meme_") + event_desc = f"你发送了一个表情包 ({emoji_description})" + await self._update_post_send_states(send_end_time, observation_info, conversation_info, "send_memes", event_desc) + else: + final_status = "recall"; final_reason = f"{final_reason_prefix}失败：发送时出错" + else: + final_reason = f"{final_reason_prefix}失败：未找到合适表情包" + conversation_info.last_successful_reply_action = None + except Exception as e: + self.logger.error(f"处理表情包动作时出错: {e}", exc_info=True) + final_status = "error"; final_reason = f"{final_reason_prefix}失败：处理时出错 ({e})" + conversation_info.last_successful_reply_action = None + + return action_successful, final_status, final_reason + + +class RethinkGoalHandler(ActionHandler): + """处理重新思考目标动作的处理器。""" + async def execute(self, reason: str, observation_info: Optional[ObservationInfo], conversation_info: Optional[ConversationInfo], action_start_time: float, current_action_record: dict) -> tuple[bool, str, str]: + if not conversation_info or not observation_info: return False, "error", "RethinkGoal 缺少信息" + self.conversation.state = ConversationState.RETHINKING + if not self.conversation.goal_analyzer: raise RuntimeError("GoalAnalyzer 未初始化") + await self.conversation.goal_analyzer.analyze_goal(conversation_info, observation_info) + event_desc = "你重新思考了对话目标和方向" + await self._update_relationship_and_emotion(observation_info, conversation_info, event_desc) + return True, "done", "成功重新思考目标" + +class ListeningHandler(ActionHandler): + """处理倾听动作的处理器。""" + async def execute(self, reason: str, observation_info: Optional[ObservationInfo], conversation_info: Optional[ConversationInfo], action_start_time: float, current_action_record: dict) -> tuple[bool, str, str]: + if not conversation_info or not observation_info: return False, "error", "Listening 缺少信息" + self.conversation.state = ConversationState.LISTENING + if not self.conversation.waiter: raise RuntimeError("Waiter 未初始化") + await self.conversation.waiter.wait_listening(conversation_info) + event_desc = "你决定耐心倾听对方的发言" + await self._update_relationship_and_emotion(observation_info, conversation_info, event_desc) + return True, "done", "进入倾听状态" + +class EndConversationHandler(ActionHandler): + """处理结束对话动作的处理器。""" + async def execute(self, reason: str, observation_info: Optional[ObservationInfo], conversation_info: Optional[ConversationInfo], action_start_time: float, current_action_record: dict) -> tuple[bool, str, str]: + self.logger.info(f"[私聊][{self.conversation.private_name}] 动作 'end_conversation': 收到最终结束指令，停止对话...") + self.conversation.should_continue = False + return True, "done", "对话结束指令已执行" + +class BlockAndIgnoreHandler(ActionHandler): + """处理屏蔽并忽略动作的处理器。""" + async def execute(self, reason: str, observation_info: Optional[ObservationInfo], conversation_info: Optional[ConversationInfo], action_start_time: float, current_action_record: dict) -> tuple[bool, str, str]: + if not conversation_info or not observation_info: return False, "error", "BlockAndIgnore 缺少信息" + self.logger.info(f"[私聊][{self.conversation.private_name}] 动作 'block_and_ignore': 不想再理你了...") + ignore_duration_seconds = 10 * 60 + self.conversation.ignore_until_timestamp = time.time() + ignore_duration_seconds + self.conversation.state = ConversationState.IGNORED + event_desc = "当前对话让你感到不适，你决定暂时不再理会对方" + await self._update_relationship_and_emotion(observation_info, conversation_info, event_desc) + return True, "done", f"已屏蔽并忽略对话 {ignore_duration_seconds // 60} 分钟" + +class WaitHandler(ActionHandler): + """处理等待动作的处理器。""" + async def execute(self, reason: str, observation_info: Optional[ObservationInfo], conversation_info: Optional[ConversationInfo], action_start_time: float, current_action_record: dict) -> tuple[bool, str, str]: + if not conversation_info or not observation_info: return False, "error", "Wait 缺少信息" + self.conversation.state = ConversationState.WAITING + if not self.conversation.waiter: raise RuntimeError("Waiter 未初始化") + timeout_occurred = await self.conversation.waiter.wait(conversation_info) + event_desc = "你等待对方回复，但对方长时间没有回应" if timeout_occurred else "你选择等待对方的回复" + await self._update_relationship_and_emotion(observation_info, conversation_info, event_desc) + return True, "done", "等待动作完成" + +class UnknownActionHandler(ActionHandler): + """处理未知动作的处理器。""" + async def execute(self, reason: str, observation_info: Optional[ObservationInfo], conversation_info: Optional[ConversationInfo], action_start_time: float, current_action_record: dict) -> tuple[bool, str, str]: + action_name = current_action_record.get("action", "未知") + self.logger.warning(f"[私聊][{self.conversation.private_name}] 未知的动作类型: {action_name}") + return False, "recall", f"未知的动作类型: {action_name}" diff --git a/src/experimental/PFC/actions.py b/src/experimental/PFC/actions.py index ad55bc9c..f187acb8 100644 --- a/src/experimental/PFC/actions.py +++ b/src/experimental/PFC/actions.py @@ -2,63 +2,20 @@ import time import asyncio import datetime import traceback -import json -from typing import Optional, Set, TYPE_CHECKING -from src.chat.emoji_system.emoji_manager import emoji_manager +from typing import Optional, TYPE_CHECKING + from src.common.logger_manager import get_logger -from src.config.config import global_config -from src.chat.utils.chat_message_builder import build_readable_messages -from .pfc_types import ConversationState -from .observation_info import ObservationInfo -from .conversation_info import ConversationInfo -from src.chat.utils.utils_image import image_path_to_base64 # 假设路径正确 -from maim_message import Seg, UserInfo # 从 maim_message 导入 Seg 和 UserInfo -from src.chat.message_receive.message import MessageSending, MessageSet # PFC 的发送器依赖这些 -from src.chat.message_receive.message_sender import message_manager # PFC 的发送器依赖这个 +from PFC.pfc_types import ConversationState # 调整导入路径 +from PFC.observation_info import ObservationInfo # 调整导入路径 +from PFC.conversation_info import ConversationInfo # 调整导入路径 + +# 导入工厂类 +from PFC.action_factory import StandardActionFactory # 调整导入路径 if TYPE_CHECKING: - from .conversation import Conversation # 用于类型提示以避免循环导入 + from PFC.conversation import Conversation # 调整导入路径 -logger = get_logger("pfc_actions") - - -async def _send_reply_internal(conversation_instance: "Conversation") -> bool: - """ - 内部辅助函数，用于发送 conversation_instance.generated_reply 中的内容。 - 这之前是 Conversation 类中的 _send_reply 方法。 - """ - # 检查是否有内容可发送 - if not conversation_instance.generated_reply: - logger.warning(f"[私聊][{conversation_instance.private_name}] 没有生成回复内容，无法发送。") - return False - # 检查发送器和聊天流是否已初始化 - if not conversation_instance.direct_sender: - logger.error(f"[私聊][{conversation_instance.private_name}] DirectMessageSender 未初始化，无法发送。") - return False - if not conversation_instance.chat_stream: - logger.error(f"[私聊][{conversation_instance.private_name}] ChatStream 未初始化，无法发送。") - return False - - try: - reply_content = conversation_instance.generated_reply - # 调用发送器发送消息，不指定回复对象 - await conversation_instance.direct_sender.send_message( - chat_stream=conversation_instance.chat_stream, - content=reply_content, - reply_to_message=None, # 私聊通常不需要引用回复 - ) - # 自身发言数量累计 +1 - if conversation_instance.conversation_info: # 确保 conversation_info 存在 - conversation_instance.conversation_info.my_message_count += 1 - # 发送成功后，将状态设置回分析，准备下一轮规划 - conversation_instance.state = ConversationState.ANALYZING - return True # 返回成功 - except Exception as e: - # 捕获发送过程中的异常 - logger.error(f"[私聊][{conversation_instance.private_name}] 发送消息时失败: {str(e)}") - logger.error(f"[私聊][{conversation_instance.private_name}] {traceback.format_exc()}") - conversation_instance.state = ConversationState.ERROR # 发送失败标记错误状态 - return False # 返回失败 +logger = get_logger("pfc_actions") # 模块级别日志记录器 async def handle_action( @@ -70,924 +27,160 @@ async def handle_action( ): """ 处理由 ActionPlanner 规划出的具体行动。 - 这之前是 Conversation 类中的 _handle_action 方法。 + 使用 ActionFactory 创建并执行相应的处理器。 """ - # 检查初始化状态 + # 检查对话实例是否已初始化 if not conversation_instance._initialized: logger.error(f"[私聊][{conversation_instance.private_name}] 尝试在未初始化状态下处理动作 '{action}'。") return - # 确保 observation_info 和 conversation_info 不为 None + # 检查 observation_info 是否为空 if not observation_info: logger.error(f"[私聊][{conversation_instance.private_name}] ObservationInfo 为空，无法处理动作 '{action}'。") - # 在 conversation_info 和 done_action 存在时更新状态 + # 如果 conversation_info 和 done_action 存在且不为空 if conversation_info and hasattr(conversation_info, "done_action") and conversation_info.done_action: - conversation_info.done_action[-1].update( - { - "status": "error", - "final_reason": "ObservationInfo is None", - } - ) - conversation_instance.state = ConversationState.ERROR + # 更新最后一个动作记录的状态和原因 + if conversation_info.done_action: # 再次检查列表是否不为空 + conversation_info.done_action[-1].update( + {"status": "error", "final_reason": "ObservationInfo is None"} + ) + conversation_instance.state = ConversationState.ERROR # 设置对话状态为错误 return - if not conversation_info: # conversation_info 在这里是必需的 + # 检查 conversation_info 是否为空 + if not conversation_info: logger.error(f"[私聊][{conversation_instance.private_name}] ConversationInfo 为空，无法处理动作 '{action}'。") - conversation_instance.state = ConversationState.ERROR + conversation_instance.state = ConversationState.ERROR # 设置对话状态为错误 return logger.info(f"[私聊][{conversation_instance.private_name}] 开始处理动作: {action}, 原因: {reason}") - action_start_time = time.time() # 记录动作开始时间 + action_start_time = time.time() # 记录动作开始时间 - # --- 准备动作历史记录条目 --- + # 当前动作记录 current_action_record = { - "action": action, - "plan_reason": reason, # 记录规划时的原因 - "status": "start", # 初始状态为"开始" - "time": datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S"), # 记录开始时间 - "final_reason": None, # 最终结果的原因，将在 finally 中设置 + "action": action, # 动作类型 + "plan_reason": reason, # 规划原因 + "status": "start", # 初始状态为 "start" + "time": datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S"), # 当前时间 + "final_reason": None, # 最终原因，默认为 None } - # 安全地添加到历史记录列表 - if not hasattr(conversation_info, "done_action") or conversation_info.done_action is None: # 防御性检查 + # 如果 done_action 不存在或为空，则初始化 + if not hasattr(conversation_info, "done_action") or conversation_info.done_action is None: conversation_info.done_action = [] - conversation_info.done_action.append(current_action_record) - # 获取当前记录在列表中的索引，方便后续更新状态 - action_index = len(conversation_info.done_action) - 1 + conversation_info.done_action.append(current_action_record) # 添加当前动作记录 + action_index = len(conversation_info.done_action) - 1 # 获取当前动作记录的索引 - # --- 初始化动作执行状态变量 --- - action_successful: bool = False # 标记动作是否成功执行 - final_status: str = "recall" # 动作最终状态，默认为 recall (表示未成功或需重试) - final_reason: str = "动作未成功执行" # 动作最终原因 + action_successful: bool = False # 动作是否成功，默认为 False + final_status: str = "recall" # 最终状态，默认为 "recall" + final_reason: str = "动作未成功执行" # 最终原因，默认为 "动作未成功执行" - # 在此声明变量以避免 UnboundLocalError - is_suitable: bool = False - generated_content_for_check_or_send: str = "" - check_reason: str = "未进行检查" - need_replan_from_checker: bool = False - should_send_reply: bool = True # 默认需要发送 (对于 direct_reply) - is_send_decision_from_rg: bool = False # 标记 send_new_message 的决策是否来自 ReplyGenerator + factory = StandardActionFactory() # 创建标准动作工厂实例 + action_handler = factory.create_action_handler(action, conversation_instance) # 创建动作处理器 try: - # --- 根据不同的 action 类型执行相应的逻辑 --- - - # 1. 处理需要生成、检查、发送的动作 - if action in ["direct_reply", "send_new_message"]: - max_reply_attempts: int = getattr(global_config, "pfc_max_reply_attempts", 3) # 最多尝试次数 (可配置) - reply_attempt_count: int = 0 - # is_suitable, generated_content_for_check_or_send, check_reason, need_replan_from_checker, should_send_reply, is_send_decision_from_rg 已在外部声明 - - while reply_attempt_count < max_reply_attempts and not is_suitable and not need_replan_from_checker: - reply_attempt_count += 1 - log_prefix = f"[私聊][{conversation_instance.private_name}] 尝试生成/检查 '{action}' 回复 (第 {reply_attempt_count}/{max_reply_attempts} 次)..." - logger.info(log_prefix) - - conversation_instance.state = ConversationState.GENERATING - if not conversation_instance.reply_generator: - raise RuntimeError("ReplyGenerator 未初始化") - - raw_llm_output = await conversation_instance.reply_generator.generate( - observation_info, conversation_info, action_type=action - ) - logger.debug(f"{log_prefix} ReplyGenerator.generate 返回: '{raw_llm_output}'") - - text_to_process = raw_llm_output # 默认情况下，处理原始输出 - - if action == "send_new_message": - is_send_decision_from_rg = True # 标记这是 send_new_message 的决策过程 - parsed_json = None - try: - # 尝试解析JSON - parsed_json = json.loads(raw_llm_output) - except json.JSONDecodeError: - logger.error(f"{log_prefix} ReplyGenerator 返回的不是有效的JSON: {raw_llm_output}") - # 如果JSON解析失败，视为RG决定不发送，并给出原因 - conversation_info.last_reply_rejection_reason = "回复生成器未返回有效JSON" - conversation_info.last_rejected_reply_content = raw_llm_output - should_send_reply = False - text_to_process = "no" # 或者一个特定的错误标记 - - if parsed_json: # 如果成功解析 - send_decision = parsed_json.get("send", "no").lower() - generated_text_from_json = parsed_json.get("txt", "no") - - if send_decision == "yes": - should_send_reply = True - text_to_process = generated_text_from_json - logger.info(f"{log_prefix} ReplyGenerator 决定发送消息。内容: '{text_to_process[:100]}...'") - else: # send_decision is "no" - should_send_reply = False - text_to_process = "no" # 保持和 prompt 中一致，txt 为 "no" - logger.info(f"{log_prefix} ReplyGenerator 决定不发送消息。") - # 既然RG决定不发送，就直接跳出重试循环 - break - - # 如果 ReplyGenerator 在 send_new_message 动作中决定不发送，则跳出重试循环 - if action == "send_new_message" and not should_send_reply: - break - - generated_content_for_check_or_send = text_to_process - - # 检查生成的内容是否有效 - if ( - not generated_content_for_check_or_send - or generated_content_for_check_or_send.startswith("抱歉") - or generated_content_for_check_or_send.strip() == "" - or ( - action == "send_new_message" - and generated_content_for_check_or_send == "no" - and should_send_reply - ) - ): # RG决定发送但文本为"no"或空 - warning_msg = f"{log_prefix} 生成内容无效或为错误提示" - if action == "send_new_message" and generated_content_for_check_or_send == "no": # 特殊情况日志 - warning_msg += " (ReplyGenerator决定发送但文本为'no')" - - logger.warning(warning_msg + "，将进行下一次尝试 (如果适用)。") - check_reason = "生成内容无效或选择不发送" # 统一原因 - conversation_info.last_reply_rejection_reason = check_reason - conversation_info.last_rejected_reply_content = generated_content_for_check_or_send - - await asyncio.sleep(0.5) # 暂停一下 - continue # 直接进入下一次循环尝试 - - # --- 内容检查 --- - conversation_instance.state = ConversationState.CHECKING - if not conversation_instance.reply_checker: - raise RuntimeError("ReplyChecker 未初始化") - - # 准备检查器所需参数 - current_goal_str = "" - if conversation_info.goal_list: # 确保 goal_list 存在且不为空 - goal_item = conversation_info.goal_list[-1] - if isinstance(goal_item, dict): - current_goal_str = goal_item.get("goal", "") - elif isinstance(goal_item, str): - current_goal_str = goal_item - - chat_history_for_check = getattr(observation_info, "chat_history", []) - chat_history_text_for_check = getattr(observation_info, "chat_history_str", "") - current_retry_for_checker = reply_attempt_count - 1 # retry_count 从0开始 - current_time_value_for_check = observation_info.current_time_str or "获取时间失败" - - # 调用检查器 - if global_config.enable_pfc_reply_checker: - logger.debug(f"{log_prefix} 调用 ReplyChecker 检查 (配置已启用)...") - ( - is_suitable, - check_reason, - need_replan_from_checker, - ) = await conversation_instance.reply_checker.check( - reply=generated_content_for_check_or_send, - goal=current_goal_str, - chat_history=chat_history_for_check, # 使用完整的历史记录列表 - chat_history_text=chat_history_text_for_check, # 可以是截断的文本 - current_time_str=current_time_value_for_check, - retry_count=current_retry_for_checker, # 传递当前重试次数 - ) - logger.info( - f"{log_prefix} ReplyChecker 结果: 合适={is_suitable}, 原因='{check_reason}', 需重规划={need_replan_from_checker}" - ) - else: # 如果配置关闭 - is_suitable = True - check_reason = "ReplyChecker 已通过配置关闭" - need_replan_from_checker = False - logger.debug(f"{log_prefix} [配置关闭] ReplyChecker 已跳过，默认回复为合适。") - - # 处理检查结果 - if not is_suitable: - conversation_info.last_reply_rejection_reason = check_reason - conversation_info.last_rejected_reply_content = generated_content_for_check_or_send - - # 如果是机器人自身复读，且检查器认为不需要重规划 (这是新版 ReplyChecker 的逻辑) - if check_reason == "机器人尝试发送重复消息" and not need_replan_from_checker: - logger.warning( - f"{log_prefix} 回复因自身重复被拒绝: {check_reason}。将使用相同 Prompt 类型重试。" - ) - if reply_attempt_count < max_reply_attempts: # 还有尝试次数 - await asyncio.sleep(0.5) # 暂停一下 - continue # 进入下一次重试 - else: # 达到最大次数 - logger.warning(f"{log_prefix} 即使是复读，也已达到最大尝试次数。") - break # 结束循环，按失败处理 - elif ( - not need_replan_from_checker and reply_attempt_count < max_reply_attempts - ): # 其他不合适原因，但无需重规划，且可重试 - logger.warning(f"{log_prefix} 回复不合适，原因: {check_reason}。将进行下一次尝试。") - await asyncio.sleep(0.5) # 暂停一下 - continue # 进入下一次重试 - else: # 需要重规划，或达到最大次数 - logger.warning(f"{log_prefix} 回复不合适且(需要重规划或已达最大次数)。原因: {check_reason}") - break # 结束循环，将在循环外部处理 - else: # is_suitable is True - # 找到了合适的回复 - conversation_info.last_reply_rejection_reason = None # 清除之前的拒绝原因 - conversation_info.last_rejected_reply_content = None - break # 成功，跳出循环 - - # --- 循环结束后处理 --- - if action == "send_new_message" and not should_send_reply and is_send_decision_from_rg: - # 这是 reply_generator 决定不发送的情况 - logger.info( - f"[私聊][{conversation_instance.private_name}] 动作 '{action}': ReplyGenerator 决定不发送消息。" - ) - final_status = "done_no_reply" # 一个新的状态，表示动作完成但无回复 - final_reason = "回复生成器决定不发送消息" - action_successful = True # 动作本身（决策）是成功的 - - # 清除追问状态，因为没有实际发送 - conversation_info.last_successful_reply_action = None - conversation_info.my_message_count = 0 # 重置连续发言计数 - # 后续的 plan 循环会检测到这个 "done_no_reply" 状态并使用反思 prompt - - elif is_suitable: # 适用于 direct_reply 或 (send_new_message 且 RG决定发送并通过检查) - logger.debug( - f"[私聊][{conversation_instance.private_name}] 动作 '{action}': 找到合适的回复，准备发送。" - ) - # conversation_info.last_reply_rejection_reason = None # 已在循环内清除 - # conversation_info.last_rejected_reply_content = None - conversation_instance.generated_reply = generated_content_for_check_or_send # 使用检查通过的内容 - timestamp_before_sending = time.time() - logger.debug( - f"[私聊][{conversation_instance.private_name}] 动作 '{action}': 记录发送前时间戳: {timestamp_before_sending:.2f}" - ) - conversation_instance.state = ConversationState.SENDING - send_success = await _send_reply_internal(conversation_instance) # 调用重构后的发送函数 - send_end_time = time.time() # 记录发送完成时间 - - if send_success: - action_successful = True - final_status = "done" # 明确设置 final_status - final_reason = "成功发送" # 明确设置 final_reason - logger.debug(f"[私聊][{conversation_instance.private_name}] 动作 '{action}': 成功发送回复.") - - # --- 新增：将机器人发送的消息添加到 ObservationInfo 的 chat_history --- - if ( - observation_info and conversation_instance.bot_qq_str - ): # 确保 observation_info 和 bot_qq_str 存在 - bot_message_dict = { - "message_id": f"bot_sent_{send_end_time}", # 生成一个唯一ID - "time": send_end_time, - "user_info": { # 构造机器人的 UserInfo - "user_id": conversation_instance.bot_qq_str, - "user_nickname": global_config.BOT_NICKNAME, # 或者 conversation_instance.name - "platform": conversation_instance.chat_stream.platform - if conversation_instance.chat_stream - else "unknown_platform", - }, - "processed_plain_text": conversation_instance.generated_reply, - "detailed_plain_text": conversation_instance.generated_reply, # 简单处理 - # 根据你的消息字典结构，可能还需要其他字段 - } - observation_info.chat_history.append(bot_message_dict) - observation_info.chat_history_count = len(observation_info.chat_history) - logger.debug( - f"[私聊][{conversation_instance.private_name}] {global_config.BOT_NICKNAME}发送的消息已添加到 chat_history。当前历史数: {observation_info.chat_history_count}" - ) - - # 可选：如果 chat_history 过长，进行修剪 (例如，保留最近N条) - max_history_len = getattr(global_config, "pfc_max_chat_history_for_checker", 50) # 例如，可配置 - if len(observation_info.chat_history) > max_history_len: - observation_info.chat_history = observation_info.chat_history[-max_history_len:] - observation_info.chat_history_count = len(observation_info.chat_history) # 更新计数 - - # 更新 chat_history_str (如果 ReplyChecker 也依赖这个字符串) - # 这个更新可能比较消耗资源，如果 checker 只用列表，可以考虑优化此处 - history_slice_for_str = observation_info.chat_history[-30:] # 例如最近30条 - try: - observation_info.chat_history_str = await build_readable_messages( - history_slice_for_str, - replace_bot_name=True, - merge_messages=False, - timestamp_mode="relative", - read_mark=0.0, - ) - except Exception as e_build_hist: - logger.error( - f"[私聊][{conversation_instance.private_name}] 更新 chat_history_str 时出错: {e_build_hist}" - ) - observation_info.chat_history_str = "[构建聊天记录出错]" - # --- 新增结束 --- - - # 更新 idle_chat 的最后消息时间 - # (避免在发送消息后很快触发主动聊天) - if conversation_instance.idle_chat: - await conversation_instance.idle_chat.update_last_message_time(send_end_time) - - # 清理已处理的未读消息 (只清理在发送这条回复之前的、来自他人的消息) - current_unprocessed_messages = getattr(observation_info, "unprocessed_messages", []) - message_ids_to_clear: Set[str] = set() - for msg in current_unprocessed_messages: - msg_time = msg.get("time") - msg_id = msg.get("message_id") - sender_id_info = msg.get("user_info", {}) # 安全获取 user_info - sender_id = str(sender_id_info.get("user_id")) if sender_id_info else None # 安全获取 sender_id - - if ( - msg_id # 确保 msg_id 存在 - and msg_time # 确保 msg_time 存在 - and sender_id != conversation_instance.bot_qq_str # 确保是对方的消息 - and msg_time < timestamp_before_sending # 只清理发送前的 - ): - message_ids_to_clear.add(msg_id) - - if message_ids_to_clear: - logger.debug( - f"[私聊][{conversation_instance.private_name}] 准备清理 {len(message_ids_to_clear)} 条发送前(他人)消息: {message_ids_to_clear}" - ) - await observation_info.clear_processed_messages(message_ids_to_clear) - else: - logger.debug(f"[私聊][{conversation_instance.private_name}] 没有需要清理的发送前(他人)消息。") - - # 更新追问状态 和 关系/情绪状态 - other_new_msg_count_during_planning = getattr( - conversation_info, "other_new_messages_during_planning_count", 0 - ) - - # 如果是 direct_reply 且规划期间有他人新消息，则下次不追问 - if other_new_msg_count_during_planning > 0 and action == "direct_reply": - logger.debug( - f"[私聊][{conversation_instance.private_name}] 因规划期间收到 {other_new_msg_count_during_planning} 条他人新消息，下一轮强制使用【初始回复】逻辑。" - ) - conversation_info.last_successful_reply_action = None - # conversation_info.my_message_count 不在此处重置，因为它刚发了一条 - elif action == "direct_reply" or action == "send_new_message": # 成功发送后 - logger.debug( - f"[私聊][{conversation_instance.private_name}] 成功执行 '{action}', 下一轮【允许】使用追问逻辑。" - ) - conversation_info.last_successful_reply_action = action - - # 更新实例消息计数和关系/情绪 - if conversation_info: # 再次确认 - conversation_info.current_instance_message_count += 1 - logger.debug( - f"[私聊][{conversation_instance.private_name}] 实例消息计数({global_config.BOT_NICKNAME}发送后)增加到: {conversation_info.current_instance_message_count}" - ) - - if conversation_instance.relationship_updater: # 确保存在 - await conversation_instance.relationship_updater.update_relationship_incremental( - conversation_info=conversation_info, - observation_info=observation_info, - chat_observer_for_history=conversation_instance.chat_observer, # 确保 chat_observer 存在 - ) - - sent_reply_summary = ( - conversation_instance.generated_reply[:50] - if conversation_instance.generated_reply - else "空回复" - ) - event_for_emotion_update = f"你刚刚发送了消息: '{sent_reply_summary}...'" - if conversation_instance.emotion_updater: # 确保存在 - await conversation_instance.emotion_updater.update_emotion_based_on_context( - conversation_info=conversation_info, - observation_info=observation_info, - chat_observer_for_history=conversation_instance.chat_observer, # 确保 chat_observer 存在 - event_description=event_for_emotion_update, - ) - else: # 发送失败 - logger.error(f"[私聊][{conversation_instance.private_name}] 动作 '{action}': 发送回复失败。") - final_status = "recall" # 标记为 recall 或 error - final_reason = "发送回复时失败" - action_successful = False # 确保 action_successful 为 False - # 发送失败，重置追问状态和计数 - conversation_info.last_successful_reply_action = None - conversation_info.my_message_count = 0 - - elif need_replan_from_checker: # 如果检查器要求重规划 - logger.warning( - f"[私聊][{conversation_instance.private_name}] 动作 '{action}' 因 ReplyChecker 要求而被取消，将重新规划。原因: {check_reason}" - ) - final_status = "recall" # 标记为 recall - final_reason = f"回复检查要求重新规划: {check_reason}" - # 重置追问状态，因为没有成功发送 - conversation_info.last_successful_reply_action = None - # my_message_count 保持不变，因为没有成功发送 - - else: # 达到最大尝试次数仍未找到合适回复 (is_suitable is False and not need_replan_from_checker) - logger.warning( - f"[私聊][{conversation_instance.private_name}] 动作 '{action}': 达到最大回复尝试次数 ({max_reply_attempts})，ReplyChecker 仍判定不合适。最终检查原因: {check_reason}" - ) - final_status = "max_checker_attempts_failed" - final_reason = f"达到最大回复尝试次数({max_reply_attempts})，ReplyChecker仍判定不合适: {check_reason}" - action_successful = False - if conversation_info: # 确保 conversation_info 存在 - conversation_info.last_successful_reply_action = None - # my_message_count 保持不变 - - # 2. 处理发送告别语动作 (保持简单，不加重试) - elif action == "say_goodbye": - conversation_instance.state = ConversationState.GENERATING - if not conversation_instance.reply_generator: - raise RuntimeError("ReplyGenerator 未初始化") - # 生成告别语 - generated_content = await conversation_instance.reply_generator.generate( - observation_info, - conversation_info, - action_type=action, # action_type='say_goodbye' - ) - logger.info( - f"[私聊][{conversation_instance.private_name}] 动作 '{action}': 生成内容: '{generated_content[:100]}...'" - ) - - # 检查生成内容 - if not generated_content or generated_content.startswith("抱歉"): - logger.warning( - f"[私聊][{conversation_instance.private_name}] 动作 '{action}': 生成内容为空或为错误提示，取消发送。" - ) - final_reason = "生成内容无效" - # 即使生成失败，也按计划结束对话 - final_status = "done" # 标记为 done，因为目的是结束 - conversation_instance.should_continue = False # 停止对话 - logger.info(f"[私聊][{conversation_instance.private_name}] 告别语生成失败，仍按计划结束对话。") - else: - # 发送告别语 - conversation_instance.generated_reply = generated_content - timestamp_before_sending = time.time() - logger.debug( - f"[私聊][{conversation_instance.private_name}] 动作 '{action}': 记录发送前时间戳: {timestamp_before_sending:.2f}" - ) - conversation_instance.state = ConversationState.SENDING - send_success = await _send_reply_internal(conversation_instance) # 调用重构后的发送函数 - send_end_time = time.time() - - if send_success: - action_successful = True # 标记成功 - # final_status 和 final_reason 会在 finally 中设置 - logger.info(f"[私聊][{conversation_instance.private_name}] 成功发送告别语，即将停止对话实例。") - # 更新 idle_chat 的最后消息时间 - # (避免在发送消息后很快触发主动聊天) - if conversation_instance.idle_chat: - await conversation_instance.idle_chat.update_last_message_time(send_end_time) - # 清理发送前的消息 (虽然通常是最后一条，但保持逻辑一致) - current_unprocessed_messages = getattr(observation_info, "unprocessed_messages", []) - message_ids_to_clear: Set[str] = set() - for msg in current_unprocessed_messages: - msg_time = msg.get("time") - msg_id = msg.get("message_id") - sender_id_info = msg.get("user_info", {}) - sender_id = str(sender_id_info.get("user_id")) if sender_id_info else None - if ( - msg_id - and msg_time - and sender_id != conversation_instance.bot_qq_str # 不是自己的消息 - and msg_time < timestamp_before_sending # 发送前 - ): - message_ids_to_clear.add(msg_id) - if message_ids_to_clear: - await observation_info.clear_processed_messages(message_ids_to_clear) - - # 更新关系和情绪 - if conversation_info: # 确保 conversation_info 存在 - conversation_info.current_instance_message_count += 1 - logger.debug( - f"[私聊][{conversation_instance.private_name}] 实例消息计数(告别语后)增加到: {conversation_info.current_instance_message_count}" - ) - - sent_reply_summary = ( - conversation_instance.generated_reply[:50] - if conversation_instance.generated_reply - else "空回复" - ) - event_for_emotion_update = f"你发送了告别消息: '{sent_reply_summary}...'" - if conversation_instance.emotion_updater: # 确保存在 - await conversation_instance.emotion_updater.update_emotion_based_on_context( - conversation_info=conversation_info, - observation_info=observation_info, - chat_observer_for_history=conversation_instance.chat_observer, # 确保 chat_observer 存在 - event_description=event_for_emotion_update, - ) - # 发送成功后结束对话 - conversation_instance.should_continue = False - else: - # 发送失败 - logger.error(f"[私聊][{conversation_instance.private_name}] 动作 '{action}': 发送告别语失败。") - final_status = "recall" # 或 "error" - final_reason = "发送告别语失败" - # 发送失败不能结束对话，让其自然流转或由其他逻辑结束 - conversation_instance.should_continue = True # 保持 should_continue - - # 3. 处理重新思考目标动作 - elif action == "rethink_goal": - conversation_instance.state = ConversationState.RETHINKING - if not conversation_instance.goal_analyzer: - raise RuntimeError("GoalAnalyzer 未初始化") - # 调用 GoalAnalyzer 分析并更新目标 - await conversation_instance.goal_analyzer.analyze_goal(conversation_info, observation_info) - action_successful = True # 标记成功 - event_for_emotion_update = "你重新思考了对话目标和方向" - if ( - conversation_instance.emotion_updater and conversation_info and observation_info - ): # 确保updater和info都存在 - await conversation_instance.emotion_updater.update_emotion_based_on_context( - conversation_info=conversation_info, - observation_info=observation_info, - chat_observer_for_history=conversation_instance.chat_observer, # 确保 chat_observer 存在 - event_description=event_for_emotion_update, - ) - - # 4. 处理倾听动作 - elif action == "listening": - conversation_instance.state = ConversationState.LISTENING - if not conversation_instance.waiter: - raise RuntimeError("Waiter 未初始化") - logger.info(f"[私聊][{conversation_instance.private_name}] 动作 'listening': 进入倾听状态...") - # 调用 Waiter 的倾听等待方法，内部会处理超时 - await conversation_instance.waiter.wait_listening(conversation_info) # 直接传递 conversation_info - action_successful = True # listening 动作本身执行即视为成功，后续由新消息或超时驱动 - event_for_emotion_update = "你决定耐心倾听对方的发言" - if conversation_instance.emotion_updater and conversation_info and observation_info: # 确保都存在 - await conversation_instance.emotion_updater.update_emotion_based_on_context( - conversation_info=conversation_info, - observation_info=observation_info, - chat_observer_for_history=conversation_instance.chat_observer, # 确保 chat_observer 存在 - event_description=event_for_emotion_update, - ) - - # 5. 处理结束对话动作 - elif action == "end_conversation": - logger.info( - f"[私聊][{conversation_instance.private_name}] 动作 'end_conversation': 收到最终结束指令，停止对话..." - ) - action_successful = True # 标记成功 - conversation_instance.should_continue = False # 设置标志以退出循环 - - # 6. 处理屏蔽忽略动作 - elif action == "block_and_ignore": - logger.info(f"[私聊][{conversation_instance.private_name}] 动作 'block_and_ignore': 不想再理你了...") - ignore_duration_seconds = 10 * 60 # 忽略 10 分钟，可配置 - conversation_instance.ignore_until_timestamp = time.time() + ignore_duration_seconds - logger.info( - f"[私聊][{conversation_instance.private_name}] 将忽略此对话直到: {datetime.datetime.fromtimestamp(conversation_instance.ignore_until_timestamp)}" - ) - conversation_instance.state = ConversationState.IGNORED # 设置忽略状态 - action_successful = True # 标记成功 - event_for_emotion_update = "当前对话让你感到不适，你决定暂时不再理会对方" - if conversation_instance.emotion_updater and conversation_info and observation_info: # 确保都存在 - await conversation_instance.emotion_updater.update_emotion_based_on_context( - conversation_info=conversation_info, - observation_info=observation_info, - chat_observer_for_history=conversation_instance.chat_observer, # 确保 chat_observer 存在 - event_description=event_for_emotion_update, - ) - - # X. 处理发送表情包动作 - elif action == "send_memes": - conversation_instance.state = ConversationState.GENERATING - final_reason_prefix = "发送表情包" - action_successful = False # 先假设不成功 - - # 确保 conversation_info 和 observation_info 存在 - if not conversation_info or not observation_info: - logger.error( - f"[私聊][{conversation_instance.private_name}] 动作 'send_memes': ConversationInfo 或 ObservationInfo 为空。" - ) - final_status = "error" - final_reason = f"{final_reason_prefix}失败：内部信息缺失" - # done_action 的更新会在 finally 中处理 - # 理论上这不应该发生，因为调用 handle_action 前应该有检查 - # 但作为防御性编程，可以加上 - if conversation_info: # 即使另一个为空，也尝试更新 - conversation_info.last_successful_reply_action = None - # 直接跳到 finally 块 - # 注意：此处不能直接 return，否则 finally 不会被完整执行。 - # 而是让后续的 final_status 和 action_successful 决定流程。 - # 这里我们通过设置 action_successful = False 和 final_status = "error" 来让 finally 处理 - # 更好的方式可能是直接在 finally 前面抛出异常，但为了简化，我们先这样。 - # 此处保持 action_successful = False，后续的 finally 会处理状态。 - pass # 让代码继续到 try...except...finally 的末尾 - - else: # conversation_info 和 observation_info 都存在 - emoji_query = conversation_info.current_emoji_query - if not emoji_query: - logger.warning( - f"[私聊][{conversation_instance.private_name}] 动作 'send_memes': emoji_query 为空，无法获取表情包。" - ) - final_status = "recall" - final_reason = f"{final_reason_prefix}失败：缺少表情包查询语句" - conversation_info.last_successful_reply_action = None - else: - logger.info( - f"[私聊][{conversation_instance.private_name}] 动作 'send_memes': 使用查询 '{emoji_query}' 获取表情包..." - ) - try: - emoji_result = await emoji_manager.get_emoji_for_text(emoji_query) - - if emoji_result: - emoji_path, emoji_description = emoji_result - logger.info( - f"[私聊][{conversation_instance.private_name}] 动作 'send_memes': 获取到表情包: {emoji_path}, 描述: {emoji_description}" - ) - - if not conversation_instance.chat_stream: - logger.error( - f"[私聊][{conversation_instance.private_name}] 动作 'send_memes': ChatStream 未初始化，无法发送。" - ) - raise RuntimeError("ChatStream 未初始化") - - image_b64_content = image_path_to_base64(emoji_path) - if not image_b64_content: - logger.error( - f"[私聊][{conversation_instance.private_name}] 动作 'send_memes': 无法将图片 {emoji_path} 转换为 base64。" - ) - raise ValueError(f"无法将图片 {emoji_path} 转换为Base64") - - # --- 统一 Seg 构造方式 (与群聊类似) --- - # 直接使用 type="emoji" 和 base64 数据 - message_segment_for_emoji = Seg(type="emoji", data=image_b64_content) - # -------------------------------------- - - bot_user_info = UserInfo( - user_id=global_config.BOT_QQ, - user_nickname=global_config.BOT_NICKNAME, - platform=conversation_instance.chat_stream.platform, - ) - message_id_emoji = f"pfc_meme_{round(time.time(), 3)}" - - # --- 直接使用 DirectMessageSender (如果其 send_message 适配单个 Seg) --- - # 或者如果 DirectMessageSender.send_message 需要 content: str， - # 我们就需要调整 DirectMessageSender 或这里的逻辑。 - # 假设 DirectMessageSender 能被改造或其依赖的 message_manager 能处理 Seg 对象。 - # 我们先按照 PFC/message_sender.py 的结构来尝试构造 MessageSending - # PFC/message_sender.py 中的 DirectMessageSender.send_message(content: str) - # 它内部是 segments = Seg(type="seglist", data=[Seg(type="text", data=content)]) - # 这意味着 DirectMessageSender 目前只设计来发送文本。 - - # *** 为了与群聊发送逻辑一致，并假设底层 message_manager 可以处理任意 Seg *** - # 我们需要绕过 DirectMessageSender 的 send_message(content: str) - # 或者修改 DirectMessageSender 以接受 Seg 对象。 - # 更简单的做法是直接调用与群聊相似的底层发送机制，即构造 MessageSending 并使用 message_manager - - message_to_send = MessageSending( - message_id=message_id_emoji, - chat_stream=conversation_instance.chat_stream, - bot_user_info=bot_user_info, - sender_info=None, # 表情通常不是对特定消息的回复 - message_segment=message_segment_for_emoji, # 直接使用构造的 Seg - reply=None, - is_head=True, - is_emoji=True, - thinking_start_time=action_start_time, # 使用动作开始时间作为近似 - ) - - await message_to_send.process() # 消息预处理 - - message_set_emoji = MessageSet(conversation_instance.chat_stream, message_id_emoji) - message_set_emoji.add_message(message_to_send) - await message_manager.add_message(message_set_emoji) # 使用全局管理器发送 - - logger.info( - f"[私聊][{conversation_instance.private_name}] PFC 动作 'send_memes': 表情包已发送: {emoji_path} ({emoji_description})" - ) - action_successful = True # 标记发送成功 - # final_status 和 final_reason 会在 finally 中设置 - - # --- 后续成功处理逻辑 (与之前相同，但要确保 conversation_info 存在) --- - if conversation_info: - conversation_info.my_message_count += 1 - conversation_info.last_successful_reply_action = action - conversation_info.current_instance_message_count += 1 - logger.debug( - f"[私聊][{conversation_instance.private_name}] 成功执行 '{action}', my_message_count: {conversation_info.my_message_count}, 下一轮将使用【追问】逻辑。" - ) - - current_send_time = time.time() - if conversation_instance.idle_chat: - await conversation_instance.idle_chat.update_last_message_time(current_send_time) - - if observation_info and conversation_instance.bot_qq_str: - bot_meme_message_dict = { - "message_id": message_id_emoji, - "time": current_send_time, - "user_info": bot_user_info.to_dict(), - "processed_plain_text": f"[表情包: {emoji_description}]", - "detailed_plain_text": f"[表情包: {emoji_path} - {emoji_description}]", - "raw_message": "[CQ:image,file=base64://...]", # 示例 - } - observation_info.chat_history.append(bot_meme_message_dict) - observation_info.chat_history_count = len(observation_info.chat_history) - max_history_len = getattr(global_config, "pfc_max_chat_history_for_checker", 50) - if len(observation_info.chat_history) > max_history_len: - observation_info.chat_history = observation_info.chat_history[-max_history_len:] - observation_info.chat_history_count = len(observation_info.chat_history) - history_slice_for_str = observation_info.chat_history[-30:] - try: - observation_info.chat_history_str = await build_readable_messages( - history_slice_for_str, - replace_bot_name=True, - merge_messages=False, - timestamp_mode="relative", - read_mark=0.0, - ) - except Exception as e_build_hist_meme: - logger.error( - f"[私聊][{conversation_instance.private_name}] 更新 chat_history_str (表情包后) 时出错: {e_build_hist_meme}" - ) - - current_unprocessed_messages_emoji = observation_info.unprocessed_messages - message_ids_to_clear_emoji: Set[str] = set() - for msg_item in current_unprocessed_messages_emoji: - msg_time_item = msg_item.get("time") - msg_id_item = msg_item.get("message_id") - sender_id_info_item = msg_item.get("user_info", {}) - sender_id_item = ( - str(sender_id_info_item.get("user_id")) if sender_id_info_item else None - ) - if ( - msg_id_item - and msg_time_item - and sender_id_item != conversation_instance.bot_qq_str - and msg_time_item < current_send_time - ): - message_ids_to_clear_emoji.add(msg_id_item) - if message_ids_to_clear_emoji: - await observation_info.clear_processed_messages(message_ids_to_clear_emoji) - - if conversation_instance.relationship_updater and conversation_info: - await conversation_instance.relationship_updater.update_relationship_incremental( - conversation_info=conversation_info, - observation_info=observation_info, - chat_observer_for_history=conversation_instance.chat_observer, - ) - event_for_emotion_update_emoji = f"你发送了一个表情包 ({emoji_description})" - if conversation_instance.emotion_updater and conversation_info: - await conversation_instance.emotion_updater.update_emotion_based_on_context( - conversation_info=conversation_info, - observation_info=observation_info, - chat_observer_for_history=conversation_instance.chat_observer, - event_description=event_for_emotion_update_emoji, - ) - else: # emoji_result is None - logger.warning( - f"[私聊][{conversation_instance.private_name}] 动作 'send_memes': 未能根据查询 '{emoji_query}' 获取到合适的表情包。" - ) - final_status = "recall" - final_reason = f"{final_reason_prefix}失败：未找到合适表情包" - action_successful = False - if conversation_info: - conversation_info.last_successful_reply_action = None - conversation_info.current_emoji_query = None - - except Exception as get_send_emoji_err: - logger.error( - f"[私聊][{conversation_instance.private_name}] 动作 'send_memes': 处理过程中出错: {get_send_emoji_err}" - ) - logger.error(traceback.format_exc()) - final_status = "recall" # 或 "error" - final_reason = f"{final_reason_prefix}失败：处理表情包时出错 ({get_send_emoji_err})" - action_successful = False - if conversation_info: - conversation_info.last_successful_reply_action = None - conversation_info.current_emoji_query = None - - # 7. 处理等待动作 - elif action == "wait": - conversation_instance.state = ConversationState.WAITING - if not conversation_instance.waiter: - raise RuntimeError("Waiter 未初始化") - logger.info(f"[私聊][{conversation_instance.private_name}] 动作 'wait': 进入等待状态...") - # 调用 Waiter 的常规等待方法，内部处理超时 - # wait 方法返回是否超时 (True=超时, False=未超时/被新消息中断) - timeout_occurred = await conversation_instance.waiter.wait(conversation_info) # 直接传递 conversation_info - action_successful = True # wait 动作本身执行即视为成功 - event_for_emotion_update = "" - if timeout_occurred: # 假设 timeout_occurred 能正确反映是否超时 - event_for_emotion_update = "你等待对方回复，但对方长时间没有回应" - else: - event_for_emotion_update = "你选择等待对方的回复（对方可能很快回复了）" - - if conversation_instance.emotion_updater and conversation_info and observation_info: # 确保都存在 - await conversation_instance.emotion_updater.update_emotion_based_on_context( - conversation_info=conversation_info, - observation_info=observation_info, - chat_observer_for_history=conversation_instance.chat_observer, # 确保 chat_observer 存在 - event_description=event_for_emotion_update, - ) - # wait 动作完成后不需要清理消息，等待新消息或超时触发重新规划 - logger.debug(f"[私聊][{conversation_instance.private_name}] Wait 动作完成，无需在此清理消息。") - - # 8. 处理未知的动作类型 - else: - logger.warning(f"[私聊][{conversation_instance.private_name}] 未知的动作类型: {action}") - final_status = "recall" # 未知动作标记为 recall - final_reason = f"未知的动作类型: {action}" - - # --- 重置非回复动作的追问状态 --- - # 确保执行完非回复动作后，下一次规划不会错误地进入追问逻辑 + # 执行动作处理器 + action_successful, final_status, final_reason = await action_handler.execute( + reason, observation_info, conversation_info, action_start_time, current_action_record + ) + + # 动作执行后的逻辑 (例如更新 last_successful_reply_action 等) + # 此部分之前位于每个 if/elif 块内部 + # 如果动作不是回复类型的动作 if action not in ["direct_reply", "send_new_message", "say_goodbye", "send_memes"]: - conversation_info.last_successful_reply_action = None - # 清理可能残留的拒绝信息 - conversation_info.last_reply_rejection_reason = None - conversation_info.last_rejected_reply_content = None + conversation_info.last_successful_reply_action = None # 清除上次成功回复动作 + conversation_info.last_reply_rejection_reason = None # 清除上次回复拒绝原因 + conversation_info.last_rejected_reply_content = None # 清除上次拒绝的回复内容 + # 如果动作不是发送表情包或发送表情包失败，则清除表情查询 if action != "send_memes" or not action_successful: - if conversation_info and hasattr(conversation_info, "current_emoji_query"): + if hasattr(conversation_info, "current_emoji_query"): conversation_info.current_emoji_query = None - except asyncio.CancelledError: - # 处理任务被取消的异常 + except asyncio.CancelledError: # 捕获任务取消错误 logger.warning(f"[私聊][{conversation_instance.private_name}] 处理动作 '{action}' 时被取消。") - final_status = "cancelled" + final_status = "cancelled" # 设置最终状态为 "cancelled" final_reason = "动作处理被取消" - # 取消时也重置追问状态 - if conversation_info: # 确保 conversation_info 存在 - conversation_info.last_successful_reply_action = None - raise # 重新抛出 CancelledError，让上层知道任务被取消 - except Exception as handle_err: - # 捕获处理动作过程中的其他所有异常 + # 如果 conversation_info 存在 + if conversation_info: + conversation_info.last_successful_reply_action = None # 清除上次成功回复动作 + raise # 重新抛出异常，由循环处理 + except Exception as handle_err: # 捕获其他异常 logger.error(f"[私聊][{conversation_instance.private_name}] 处理动作 '{action}' 时出错: {handle_err}") logger.error(f"[私聊][{conversation_instance.private_name}] {traceback.format_exc()}") - final_status = "error" # 标记为错误状态 + final_status = "error" # 设置最终状态为 "error" final_reason = f"处理动作时出错: {handle_err}" - conversation_instance.state = ConversationState.ERROR # 设置对话状态为错误 - # 出错时重置追问状态 - if conversation_info: # 确保 conversation_info 存在 - conversation_info.last_successful_reply_action = None + conversation_instance.state = ConversationState.ERROR # 设置对话状态为错误 + # 如果 conversation_info 存在 + if conversation_info: + conversation_info.last_successful_reply_action = None # 清除上次成功回复动作 + action_successful = False # 确保动作为不成功 finally: - # --- 统一更新动作历史记录的最终状态和原因 --- - # (确保 conversation_info 和 done_action[action_index] 有效) + # 更新动作历史记录 + # 检查 done_action 属性是否存在且不为空，并且索引有效 if ( - conversation_info - and hasattr(conversation_info, "done_action") + hasattr(conversation_info, "done_action") and conversation_info.done_action and action_index < len(conversation_info.done_action) ): - # 确定最终状态和原因 - if action_successful: # 如果动作本身标记为成功 - if final_status not in ["done", "done_no_reply"]: # 如果没有被特定成功状态覆盖 - final_status = "done" - if not final_reason or final_reason == "动作未成功执行": - if action == "send_memes": - final_reason = f"{final_reason_prefix}成功发送" - # ... (其他动作的默认成功原因) ... - else: - final_reason = f"动作 {action} 成功完成" - else: # action_successful is False - if final_status in ["recall", "start", "unknown"]: # 如果状态还是初始或未定 - # 尝试从 conversation_info 获取更具体的失败原因 - specific_rejection_reason = getattr(conversation_info, "last_reply_rejection_reason", None) - if specific_rejection_reason and (not final_reason or final_reason == "动作未成功执行"): - final_reason = f"执行失败: {specific_rejection_reason}" - elif not final_reason or final_reason == "动作未成功执行": - final_reason = f"动作 {action} 执行失败或被中止" - # 如果 final_status 已经是 "error", "cancelled", "max_checker_attempts_failed" 等，则保留 + # 如果动作成功且最终状态不是 "done" 或 "done_no_reply"，则设置为 "done" + if action_successful and final_status not in ["done", "done_no_reply"]: + final_status = "done" + # 如果动作成功且最终原因未设置或为默认值 + if action_successful and (not final_reason or final_reason == "动作未成功执行"): + final_reason = f"动作 {action} 成功完成" + # 如果是发送表情包且 current_emoji_query 存在（理想情况下从处理器获取描述） + if action == "send_memes" and conversation_info.current_emoji_query: + pass # 占位符 - 表情描述最好从处理器的执行结果中获取并用于原因 + # 更新动作记录 conversation_info.done_action[action_index].update( { - "status": final_status, - "time_completed": datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S"), - "final_reason": final_reason, - "duration_ms": int((time.time() - action_start_time) * 1000), + "status": final_status, # 最终状态 + "time_completed": datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S"), # 完成时间 + "final_reason": final_reason, # 最终原因 + "duration_ms": int((time.time() - action_start_time) * 1000), # 持续时间（毫秒） } ) - else: + else: # 如果无法更新动作历史记录 logger.error( - f"[私聊][{conversation_instance.private_name}] 无法更新动作历史记录，索引 {action_index} 无效或列表为空。" + f"[私聊][{conversation_instance.private_name}] 无法更新动作历史记录，done_action 无效或索引 {action_index} 超出范围。" ) - # --- 统一设置 ConversationState --- - if final_status == "done" or final_status == "done_no_reply" or final_status == "recall": - # "recall" 状态也应该回到 ANALYZING 准备重新规划 - conversation_instance.state = ConversationState.ANALYZING - elif final_status == "error" or final_status == "max_checker_attempts_failed": - conversation_instance.state = ConversationState.ERROR - # 对于 "cancelled", "listening", "waiting", "ignored", "ended" 等状态， - # 它们应该在各自的动作逻辑内部或者由外部 (如 loop) 来决定下一个 ConversationState。 - # 例如，end_conversation/say_goodbye 会设置 should_continue=False，loop 会退出。 - # listening/wait 会在动作完成后（可能因为新消息或超时）使 loop 自然进入下一轮 ANALYZING。 - # cancelled 会让 loop 捕获异常并停止。 - # 重置非回复动作的追问状态 (确保 send_memes 被视为回复动作) - if action not in [ - "direct_reply", - "send_new_message", - "say_goodbye", - "send_memes", - ]: # <--- 把 send_memes 加到这里 - if conversation_info: - conversation_info.last_successful_reply_action = None - conversation_info.last_reply_rejection_reason = None - conversation_info.last_rejected_reply_content = None + # 根据最终状态设置对话状态 + if final_status in ["done", "done_no_reply", "recall"]: + conversation_instance.state = ConversationState.ANALYZING # 设置为分析中 + elif final_status in ["error", "max_checker_attempts_failed"]: + conversation_instance.state = ConversationState.ERROR # 设置为错误 + # 其他状态如 LISTENING, WAITING, IGNORED, ENDED 在各自的处理器内部或由循环设置。 - # 清理表情查询（如果动作不是send_memes但查询还存在，或者send_memes失败了） + # 此处移至 try 块以确保即使在发生异常之前也运行 + # 如果动作不是回复类型的动作 + if action not in ["direct_reply", "send_new_message", "say_goodbye", "send_memes"]: + if conversation_info: # 再次检查 conversation_info 是否不为 None + conversation_info.last_successful_reply_action = None # 清除上次成功回复动作 + conversation_info.last_reply_rejection_reason = None # 清除上次回复拒绝原因 + conversation_info.last_rejected_reply_content = None # 清除上次拒绝的回复内容 + # 如果动作不是发送表情包或发送表情包失败 if action != "send_memes" or not action_successful: + # 如果 conversation_info 存在且有 current_emoji_query 属性 if conversation_info and hasattr(conversation_info, "current_emoji_query"): - conversation_info.current_emoji_query = None + conversation_info.current_emoji_query = None # 清除当前表情查询 - log_final_reason_msg = final_reason if final_reason else "无明确原因" + + log_final_reason_msg = final_reason if final_reason else "无明确原因" # 记录的最终原因消息 + # 如果最终状态为 "done"，动作成功，且是直接回复或发送新消息，并且有生成的回复 if ( final_status == "done" and action_successful - and action in ["direct_reply", "send_new_message"] # send_memes 的发送内容不同 + and action in ["direct_reply", "send_new_message"] and hasattr(conversation_instance, "generated_reply") and conversation_instance.generated_reply ): log_final_reason_msg += f" (发送内容: '{conversation_instance.generated_reply[:30]}...')" - elif ( - final_status == "done" and action_successful and action == "send_memes" - # emoji_description 在 send_memes 内部获取，这里不再重复记录到 log_final_reason_msg， - # 因为 logger.info 已经记录过发送的表情描述 - ): - pass + # elif final_status == "done" and action_successful and action == "send_memes": + # 表情包的日志记录在其处理器内部或通过下面的通用日志处理 logger.info( f"[私聊][{conversation_instance.private_name}] 动作 '{action}' 处理完成。最终状态: {final_status}, 原因: {log_final_reason_msg}" - ) + ) \ No newline at end of file diff --git a/src/experimental/PFC/message_sender.py b/src/experimental/PFC/message_sender.py index df6e428a..4b1663cc 100644 --- a/src/experimental/PFC/message_sender.py +++ b/src/experimental/PFC/message_sender.py @@ -24,8 +24,10 @@ class DirectMessageSender: async def send_message( self, chat_stream: ChatStream, - content: str, + segments: Seg, reply_to_message: Optional[Message] = None, + is_emoji: Optional[bool] = False, + content: str = None, ) -> None: """发送消息到聊天流 @@ -35,9 +37,6 @@ class DirectMessageSender: reply_to_message: 要回复的消息（可选） """ try: - # 创建消息内容 - segments = Seg(type="seglist", data=[Seg(type="text", data=content)]) - # 获取麦麦的信息 bot_user_info = UserInfo( user_id=global_config.BOT_QQ, @@ -57,7 +56,7 @@ class DirectMessageSender: message_segment=segments, reply=reply_to_message, is_head=True, - is_emoji=False, + is_emoji=is_emoji, thinking_start_time=time.time(), ) @@ -71,7 +70,10 @@ class DirectMessageSender: message_set = MessageSet(chat_stream, message_id) message_set.add_message(message) await message_manager.add_message(message_set) - logger.info(f"[私聊][{self.private_name}]PFC消息已发送: {content}") + if is_emoji: + logger.info(f"[私聊][{self.private_name}]PFC表情消息已发送: {content}") + else: + logger.info(f"[私聊][{self.private_name}]PFC消息已发送: {content}") except Exception as e: logger.error(f"[私聊][{self.private_name}]PFC消息发送失败: {str(e)}")