remove：移除pfc遗留代码
This commit is contained in:
SengokuCola
@@ -18,11 +18,10 @@ from src.chat.focus_chat.hfc_utils import CycleDetail
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from src.chat.focus_chat.hfc_utils import get_recent_message_stats
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from src.person_info.relationship_builder_manager import relationship_builder_manager
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from src.person_info.person_info import get_person_info_manager
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from src.plugin_system.base.component_types import ActionInfo, ChatMode
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from src.plugin_system.base.component_types import ActionInfo
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from src.plugin_system.apis import generator_api, send_api, message_api
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from src.chat.willing.willing_manager import get_willing_manager
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from ...mais4u.mais4u_chat.priority_manager import PriorityManager
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from src.chat.utils.chat_message_builder import get_raw_msg_by_timestamp_with_chat
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@@ -14,7 +14,6 @@ from src.chat.message_receive.storage import MessageStorage
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from src.chat.heart_flow.heartflow_message_processor import HeartFCMessageReceiver
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from src.chat.utils.prompt_builder import Prompt, global_prompt_manager
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from src.experimental.only_message_process import MessageProcessor
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from src.experimental.PFC.pfc_manager import PFCManager
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from src.plugin_system.core.component_registry import component_registry # 导入新插件系统
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from src.plugin_system.base.base_command import BaseCommand
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from src.mais4u.mais4u_chat.s4u_msg_processor import S4UMessageProcessor
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@@ -11,7 +11,7 @@ from src.chat.focus_chat.hfc_utils import CycleDetail
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from src.chat.message_receive.chat_stream import get_chat_manager, ChatMessageContext
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from src.chat.planner_actions.action_manager import ActionManager
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from src.chat.utils.chat_message_builder import get_raw_msg_before_timestamp_with_chat, build_readable_messages
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from src.plugin_system.base.component_types import ChatMode, ActionInfo, ActionActivationType
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from src.plugin_system.base.component_types import ActionInfo, ActionActivationType
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if TYPE_CHECKING:
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from src.chat.message_receive.chat_stream import ChatStream
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@@ -19,7 +19,7 @@ from src.chat.utils.chat_message_builder import (
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from src.chat.utils.utils import get_chat_type_and_target_info
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from src.chat.planner_actions.action_manager import ActionManager
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from src.chat.message_receive.chat_stream import get_chat_manager
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from src.plugin_system.base.component_types import ChatMode, ActionInfo
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from src.plugin_system.base.component_types import ActionInfo
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logger = get_logger("planner")
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@@ -11,8 +11,8 @@ from datetime import datetime
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from src.common.logger import get_logger
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from src.config.config import global_config
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from src.llm_models.utils_model import LLMRequest
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from src.chat.message_receive.message import UserInfo, Seg, MessageRecv, MessageThinking, MessageSending
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from src.chat.message_receive.chat_stream import get_chat_manager, ChatStream
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from src.chat.message_receive.message import UserInfo, Seg, MessageRecv, MessageSending
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from src.chat.message_receive.chat_stream import ChatStream
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from src.chat.message_receive.uni_message_sender import HeartFCSender
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from src.chat.utils.timer_calculator import Timer # <--- Import Timer
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from src.chat.utils.utils import get_chat_type_and_target_info
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@@ -1,490 +0,0 @@
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import time
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from typing import Tuple, Optional # 增加了 Optional
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from src.common.logger import get_logger
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from src.llm_models.utils_model import LLMRequest
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from src.config.config import global_config
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from src.experimental.PFC.chat_observer import ChatObserver
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from src.experimental.PFC.pfc_utils import get_items_from_json
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from src.individuality.individuality import get_individuality
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from src.experimental.PFC.observation_info import ObservationInfo
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from src.experimental.PFC.conversation_info import ConversationInfo
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from src.chat.utils.chat_message_builder import build_readable_messages
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logger = get_logger("pfc_action_planner")
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# --- 定义 Prompt 模板 ---
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# Prompt(1): 首次回复或非连续回复时的决策 Prompt
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PROMPT_INITIAL_REPLY = """{persona_text}。现在你在参与一场QQ私聊，请根据以下【所有信息】审慎且灵活的决策下一步行动，可以回复，可以倾听，可以调取知识，甚至可以屏蔽对方：
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【当前对话目标】
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{goals_str}
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{knowledge_info_str}
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【最近行动历史概要】
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{action_history_summary}
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【上一次行动的详细情况和结果】
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{last_action_context}
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【时间和超时提示】
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{time_since_last_bot_message_info}{timeout_context}
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【最近的对话记录】(包括你已成功发送的消息 和 新收到的消息)
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{chat_history_text}
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------
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可选行动类型以及解释：
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fetch_knowledge: 需要调取知识或记忆，当需要专业知识或特定信息时选择，对方若提到你不太认识的人名或实体也可以尝试选择
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listening: 倾听对方发言，当你认为对方话才说到一半，发言明显未结束时选择
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direct_reply: 直接回复对方
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rethink_goal: 思考一个对话目标，当你觉得目前对话需要目标，或当前目标不再适用，或话题卡住时选择。注意私聊的环境是灵活的，有可能需要经常选择
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end_conversation: 结束对话，对方长时间没回复或者当你觉得对话告一段落时可以选择
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block_and_ignore: 更加极端的结束对话方式，直接结束对话并在一段时间内无视对方所有发言（屏蔽），当对话让你感到十分不适，或你遭到各类骚扰时选择
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请以JSON格式输出你的决策：
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{{
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"action": "选择的行动类型 (必须是上面列表中的一个)",
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"reason": "选择该行动的详细原因 (必须有解释你是如何根据“上一次行动结果”、“对话记录”和自身设定人设做出合理判断的)"
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}}
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注意：请严格按照JSON格式输出，不要包含任何其他内容。"""
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# Prompt(2): 上一次成功回复后，决定继续发言时的决策 Prompt
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PROMPT_FOLLOW_UP = """{persona_text}。现在你在参与一场QQ私聊，刚刚你已经回复了对方，请根据以下【所有信息】审慎且灵活的决策下一步行动，可以继续发送新消息，可以等待，可以倾听，可以调取知识，甚至可以屏蔽对方：
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【当前对话目标】
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{goals_str}
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{knowledge_info_str}
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【最近行动历史概要】
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{action_history_summary}
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【上一次行动的详细情况和结果】
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{last_action_context}
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【时间和超时提示】
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{time_since_last_bot_message_info}{timeout_context}
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【最近的对话记录】(包括你已成功发送的消息 和 新收到的消息)
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{chat_history_text}
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------
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可选行动类型以及解释：
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fetch_knowledge: 需要调取知识，当需要专业知识或特定信息时选择，对方若提到你不太认识的人名或实体也可以尝试选择
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wait: 暂时不说话，留给对方交互空间，等待对方回复（尤其是在你刚发言后、或上次发言因重复、发言过多被拒时、或不确定做什么时，这是不错的选择）
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listening: 倾听对方发言（虽然你刚发过言，但如果对方立刻回复且明显话没说完，可以选择这个）
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send_new_message: 发送一条新消息继续对话，允许适当的追问、补充、深入话题，或开启相关新话题。**但是避免在因重复被拒后立即使用，也不要在对方没有回复的情况下过多的“消息轰炸”或重复发言**
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rethink_goal: 思考一个对话目标，当你觉得目前对话需要目标，或当前目标不再适用，或话题卡住时选择。注意私聊的环境是灵活的，有可能需要经常选择
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end_conversation: 结束对话，对方长时间没回复或者当你觉得对话告一段落时可以选择
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block_and_ignore: 更加极端的结束对话方式，直接结束对话并在一段时间内无视对方所有发言（屏蔽），当对话让你感到十分不适，或你遭到各类骚扰时选择
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请以JSON格式输出你的决策：
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{{
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"action": "选择的行动类型 (必须是上面列表中的一个)",
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"reason": "选择该行动的详细原因 (必须有解释你是如何根据“上一次行动结果”、“对话记录”和自身设定人设做出合理判断的。请说明你为什么选择继续发言而不是等待，以及打算发送什么类型的新消息连续发言，必须记录已经发言了几次)"
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}}
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注意：请严格按照JSON格式输出，不要包含任何其他内容。"""
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# 新增：Prompt(3): 决定是否在结束对话前发送告别语
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PROMPT_END_DECISION = """{persona_text}。刚刚你决定结束一场 QQ 私聊。
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【你们之前的聊天记录】
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{chat_history_text}
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你觉得你们的对话已经完整结束了吗？有时候，在对话自然结束后再说点什么可能会有点奇怪，但有时也可能需要一条简短的消息来圆满结束。
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如果觉得确实有必要再发一条简短、自然、符合你人设的告别消息（比如 "好，下次再聊~" 或 "嗯，先这样吧"），就输出 "yes"。
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如果觉得当前状态下直接结束对话更好，没有必要再发消息，就输出 "no"。
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请以 JSON 格式输出你的选择：
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{{
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"say_bye": "yes/no",
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"reason": "选择 yes 或 no 的原因和内心想法 (简要说明)"
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}}
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注意：请严格按照 JSON 格式输出，不要包含任何其他内容。"""
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# ActionPlanner 类定义，顶格
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class ActionPlanner:
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"""行动规划器"""
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def __init__(self, stream_id: str, private_name: str):
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self.llm = LLMRequest(
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model=global_config.llm_PFC_action_planner,
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temperature=global_config.llm_PFC_action_planner["temp"],
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request_type="action_planning",
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)
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self.personality_info = get_individuality().get_prompt(x_person=2, level=3)
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self.name = global_config.bot.nickname
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self.private_name = private_name
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self.chat_observer = ChatObserver.get_instance(stream_id, private_name)
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# self.action_planner_info = ActionPlannerInfo() # 移除未使用的变量
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# 修改 plan 方法签名，增加 last_successful_reply_action 参数
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async def plan(
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self,
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observation_info: ObservationInfo,
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conversation_info: ConversationInfo,
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last_successful_reply_action: Optional[str],
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) -> Tuple[str, str]:
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"""规划下一步行动
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Args:
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observation_info: 决策信息
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conversation_info: 对话信息
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last_successful_reply_action: 上一次成功的回复动作类型 ('direct_reply' 或 'send_new_message' 或 None)
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Returns:
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Tuple[str, str]: (行动类型, 行动原因)
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"""
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# --- 获取 Bot 上次发言时间信息 ---
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# (这部分逻辑不变)
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time_since_last_bot_message_info = ""
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try:
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bot_id = str(global_config.bot.qq_account)
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if hasattr(observation_info, "chat_history") and observation_info.chat_history:
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for i in range(len(observation_info.chat_history) - 1, -1, -1):
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msg = observation_info.chat_history[i]
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if not isinstance(msg, dict):
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continue
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sender_info = msg.get("user_info", {})
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sender_id = str(sender_info.get("user_id")) if isinstance(sender_info, dict) else None
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msg_time = msg.get("time")
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if sender_id == bot_id and msg_time:
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time_diff = time.time() - msg_time
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if time_diff < 60.0:
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time_since_last_bot_message_info = (
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f"提示：你上一条成功发送的消息是在 {time_diff:.1f} 秒前。\n"
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)
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break
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else:
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logger.debug(
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f"[私聊][{self.private_name}]Observation info chat history is empty or not available for bot time check."
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)
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except AttributeError:
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logger.warning(
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f"[私聊][{self.private_name}]ObservationInfo object might not have chat_history attribute yet for bot time check."
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)
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except Exception as e:
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logger.warning(f"[私聊][{self.private_name}]获取 Bot 上次发言时间时出错: {e}")
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# --- 获取超时提示信息 ---
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# (这部分逻辑不变)
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timeout_context = ""
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try:
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if hasattr(conversation_info, "goal_list") and conversation_info.goal_list:
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last_goal_dict = conversation_info.goal_list[-1]
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if isinstance(last_goal_dict, dict) and "goal" in last_goal_dict:
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last_goal_text = last_goal_dict["goal"]
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if isinstance(last_goal_text, str) and "分钟，思考接下来要做什么" in last_goal_text:
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try:
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timeout_minutes_text = last_goal_text.split("，")[0].replace("你等待了", "")
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timeout_context = f"重要提示：对方已经长时间（{timeout_minutes_text}）没有回复你的消息了（这可能代表对方繁忙/不想回复/没注意到你的消息等情况，或在对方看来本次聊天已告一段落），请基于此情况规划下一步。\n"
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except Exception:
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timeout_context = "重要提示：对方已经长时间没有回复你的消息了（这可能代表对方繁忙/不想回复/没注意到你的消息等情况，或在对方看来本次聊天已告一段落），请基于此情况规划下一步。\n"
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else:
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logger.debug(
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f"[私聊][{self.private_name}]Conversation info goal_list is empty or not available for timeout check."
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)
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except AttributeError:
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logger.warning(
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f"[私聊][{self.private_name}]ConversationInfo object might not have goal_list attribute yet for timeout check."
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)
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except Exception as e:
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logger.warning(f"[私聊][{self.private_name}]检查超时目标时出错: {e}")
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# --- 构建通用 Prompt 参数 ---
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logger.debug(
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f"[私聊][{self.private_name}]开始规划行动：当前目标: {getattr(conversation_info, 'goal_list', '不可用')}"
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)
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# 构建对话目标 (goals_str)
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goals_str = ""
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try:
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if hasattr(conversation_info, "goal_list") and conversation_info.goal_list:
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for goal_reason in conversation_info.goal_list:
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if isinstance(goal_reason, dict):
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goal = goal_reason.get("goal", "目标内容缺失")
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reasoning = goal_reason.get("reasoning", "没有明确原因")
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else:
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goal = str(goal_reason)
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reasoning = "没有明确原因"
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goal = str(goal) if goal is not None else "目标内容缺失"
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reasoning = str(reasoning) if reasoning is not None else "没有明确原因"
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goals_str += f"- 目标：{goal}\n 原因：{reasoning}\n"
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if not goals_str:
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goals_str = "- 目前没有明确对话目标，请考虑设定一个。\n"
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else:
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goals_str = "- 目前没有明确对话目标，请考虑设定一个。\n"
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except AttributeError:
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logger.warning(
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f"[私聊][{self.private_name}]ConversationInfo object might not have goal_list attribute yet."
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)
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goals_str = "- 获取对话目标时出错。\n"
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except Exception as e:
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logger.error(f"[私聊][{self.private_name}]构建对话目标字符串时出错: {e}")
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goals_str = "- 构建对话目标时出错。\n"
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# --- 知识信息字符串构建开始 ---
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knowledge_info_str = "【已获取的相关知识和记忆】\n"
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try:
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# 检查 conversation_info 是否有 knowledge_list 并且不为空
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if hasattr(conversation_info, "knowledge_list") and conversation_info.knowledge_list:
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# 最多只显示最近的 5 条知识，防止 Prompt 过长
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recent_knowledge = conversation_info.knowledge_list[-5:]
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for i, knowledge_item in enumerate(recent_knowledge):
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if isinstance(knowledge_item, dict):
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query = knowledge_item.get("query", "未知查询")
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knowledge = knowledge_item.get("knowledge", "无知识内容")
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source = knowledge_item.get("source", "未知来源")
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# 只取知识内容的前 2000 个字，避免太长
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knowledge_snippet = knowledge[:2000] + "..." if len(knowledge) > 2000 else knowledge
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knowledge_info_str += (
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f"{i + 1}. 关于 '{query}' 的知识 (来源: {source}):\n {knowledge_snippet}\n"
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)
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else:
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# 处理列表里不是字典的异常情况
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knowledge_info_str += f"{i + 1}. 发现一条格式不正确的知识记录。\n"
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if not recent_knowledge: # 如果 knowledge_list 存在但为空
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knowledge_info_str += "- 暂无相关知识和记忆。\n"
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else:
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# 如果 conversation_info 没有 knowledge_list 属性，或者列表为空
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knowledge_info_str += "- 暂无相关知识记忆。\n"
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except AttributeError:
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logger.warning(f"[私聊][{self.private_name}]ConversationInfo 对象可能缺少 knowledge_list 属性。")
|
||||
knowledge_info_str += "- 获取知识列表时出错。\n"
|
||||
except Exception as e:
|
||||
logger.error(f"[私聊][{self.private_name}]构建知识信息字符串时出错: {e}")
|
||||
knowledge_info_str += "- 处理知识列表时出错。\n"
|
||||
# --- 知识信息字符串构建结束 ---
|
||||
|
||||
# 获取聊天历史记录 (chat_history_text)
|
||||
try:
|
||||
if hasattr(observation_info, "chat_history") and observation_info.chat_history:
|
||||
chat_history_text = observation_info.chat_history_str
|
||||
if not chat_history_text:
|
||||
chat_history_text = "还没有聊天记录。\n"
|
||||
else:
|
||||
chat_history_text = "还没有聊天记录。\n"
|
||||
|
||||
if hasattr(observation_info, "new_messages_count") and observation_info.new_messages_count > 0:
|
||||
if hasattr(observation_info, "unprocessed_messages") and observation_info.unprocessed_messages:
|
||||
new_messages_list = observation_info.unprocessed_messages
|
||||
new_messages_str = build_readable_messages(
|
||||
new_messages_list,
|
||||
replace_bot_name=True,
|
||||
merge_messages=False,
|
||||
timestamp_mode="relative",
|
||||
read_mark=0.0,
|
||||
)
|
||||
chat_history_text += (
|
||||
f"\n--- 以下是 {observation_info.new_messages_count} 条新消息 ---\n{new_messages_str}"
|
||||
)
|
||||
else:
|
||||
logger.warning(
|
||||
f"[私聊][{self.private_name}]ObservationInfo has new_messages_count > 0 but unprocessed_messages is empty or missing."
|
||||
)
|
||||
except AttributeError:
|
||||
logger.warning(
|
||||
f"[私聊][{self.private_name}]ObservationInfo object might be missing expected attributes for chat history."
|
||||
)
|
||||
chat_history_text = "获取聊天记录时出错。\n"
|
||||
except Exception as e:
|
||||
logger.error(f"[私聊][{self.private_name}]处理聊天记录时发生未知错误: {e}")
|
||||
chat_history_text = "处理聊天记录时出错。\n"
|
||||
|
||||
# 构建 Persona 文本 (persona_text)
|
||||
persona_text = f"你的名字是{self.name}，{self.personality_info}。"
|
||||
|
||||
# 构建行动历史和上一次行动结果 (action_history_summary, last_action_context)
|
||||
# (这部分逻辑不变)
|
||||
action_history_summary = "你最近执行的行动历史：\n"
|
||||
last_action_context = "关于你【上一次尝试】的行动：\n"
|
||||
action_history_list = []
|
||||
try:
|
||||
if hasattr(conversation_info, "done_action") and conversation_info.done_action:
|
||||
action_history_list = conversation_info.done_action[-5:]
|
||||
else:
|
||||
logger.debug(f"[私聊][{self.private_name}]Conversation info done_action is empty or not available.")
|
||||
except AttributeError:
|
||||
logger.warning(
|
||||
f"[私聊][{self.private_name}]ConversationInfo object might not have done_action attribute yet."
|
||||
)
|
||||
except Exception as e:
|
||||
logger.error(f"[私聊][{self.private_name}]访问行动历史时出错: {e}")
|
||||
|
||||
if not action_history_list:
|
||||
action_history_summary += "- 还没有执行过行动。\n"
|
||||
last_action_context += "- 这是你规划的第一个行动。\n"
|
||||
else:
|
||||
for i, action_data in enumerate(action_history_list):
|
||||
action_type = "未知"
|
||||
plan_reason = "未知"
|
||||
status = "未知"
|
||||
final_reason = ""
|
||||
action_time = ""
|
||||
|
||||
if isinstance(action_data, dict):
|
||||
action_type = action_data.get("action", "未知")
|
||||
plan_reason = action_data.get("plan_reason", "未知规划原因")
|
||||
status = action_data.get("status", "未知")
|
||||
final_reason = action_data.get("final_reason", "")
|
||||
action_time = action_data.get("time", "")
|
||||
elif isinstance(action_data, tuple):
|
||||
# 假设旧格式兼容
|
||||
if len(action_data) > 0:
|
||||
action_type = action_data[0]
|
||||
if len(action_data) > 1:
|
||||
plan_reason = action_data[1] # 可能是规划原因或最终原因
|
||||
if len(action_data) > 2:
|
||||
status = action_data[2]
|
||||
if status == "recall" and len(action_data) > 3:
|
||||
final_reason = action_data[3]
|
||||
elif status == "done" and action_type in ["direct_reply", "send_new_message"]:
|
||||
plan_reason = "成功发送" # 简化显示
|
||||
|
||||
reason_text = f", 失败/取消原因: {final_reason}" if final_reason else ""
|
||||
summary_line = f"- 时间:{action_time}, 尝试行动:'{action_type}', 状态:{status}{reason_text}"
|
||||
action_history_summary += summary_line + "\n"
|
||||
|
||||
if i == len(action_history_list) - 1:
|
||||
last_action_context += f"- 上次【规划】的行动是: '{action_type}'\n"
|
||||
last_action_context += f"- 当时规划的【原因】是: {plan_reason}\n"
|
||||
if status == "done":
|
||||
last_action_context += "- 该行动已【成功执行】。\n"
|
||||
# 记录这次成功的行动类型，供下次决策
|
||||
# self.last_successful_action_type = action_type # 不在这里记录，由 conversation 控制
|
||||
elif status == "recall":
|
||||
last_action_context += "- 但该行动最终【未能执行/被取消】。\n"
|
||||
if final_reason:
|
||||
last_action_context += f"- 【重要】失败/取消的具体原因是: “{final_reason}”\n"
|
||||
else:
|
||||
last_action_context += "- 【重要】失败/取消原因未明确记录。\n"
|
||||
# self.last_successful_action_type = None # 行动失败，清除记录
|
||||
else:
|
||||
last_action_context += f"- 该行动当前状态: {status}\n"
|
||||
# self.last_successful_action_type = None # 非完成状态，清除记录
|
||||
|
||||
# --- 选择 Prompt ---
|
||||
if last_successful_reply_action in ["direct_reply", "send_new_message"]:
|
||||
prompt_template = PROMPT_FOLLOW_UP
|
||||
logger.debug(f"[私聊][{self.private_name}]使用 PROMPT_FOLLOW_UP (追问决策)")
|
||||
else:
|
||||
prompt_template = PROMPT_INITIAL_REPLY
|
||||
logger.debug(f"[私聊][{self.private_name}]使用 PROMPT_INITIAL_REPLY (首次/非连续回复决策)")
|
||||
|
||||
# --- 格式化最终的 Prompt ---
|
||||
prompt = prompt_template.format(
|
||||
persona_text=persona_text,
|
||||
goals_str=goals_str if goals_str.strip() else "- 目前没有明确对话目标，请考虑设定一个。",
|
||||
action_history_summary=action_history_summary,
|
||||
last_action_context=last_action_context,
|
||||
time_since_last_bot_message_info=time_since_last_bot_message_info,
|
||||
timeout_context=timeout_context,
|
||||
chat_history_text=chat_history_text if chat_history_text.strip() else "还没有聊天记录。",
|
||||
knowledge_info_str=knowledge_info_str,
|
||||
)
|
||||
|
||||
logger.debug(f"[私聊][{self.private_name}]发送到LLM的最终提示词:\n------\n{prompt}\n------")
|
||||
try:
|
||||
content, _ = await self.llm.generate_response_async(prompt)
|
||||
logger.debug(f"[私聊][{self.private_name}]LLM (行动规划) 原始返回内容: {content}")
|
||||
|
||||
# --- 初始行动规划解析 ---
|
||||
success, initial_result = get_items_from_json(
|
||||
content,
|
||||
self.private_name,
|
||||
"action",
|
||||
"reason",
|
||||
default_values={"action": "wait", "reason": "LLM返回格式错误或未提供原因，默认等待"},
|
||||
)
|
||||
|
||||
initial_action = initial_result.get("action", "wait")
|
||||
initial_reason = initial_result.get("reason", "LLM未提供原因，默认等待")
|
||||
|
||||
# 检查是否需要进行结束对话决策 ---
|
||||
if initial_action == "end_conversation":
|
||||
logger.info(f"[私聊][{self.private_name}]初步规划结束对话，进入告别决策...")
|
||||
|
||||
# 使用新的 PROMPT_END_DECISION
|
||||
end_decision_prompt = PROMPT_END_DECISION.format(
|
||||
persona_text=persona_text, # 复用之前的 persona_text
|
||||
chat_history_text=chat_history_text, # 复用之前的 chat_history_text
|
||||
)
|
||||
|
||||
logger.debug(
|
||||
f"[私聊][{self.private_name}]发送到LLM的结束决策提示词:\n------\n{end_decision_prompt}\n------"
|
||||
)
|
||||
try:
|
||||
end_content, _ = await self.llm.generate_response_async(end_decision_prompt) # 再次调用LLM
|
||||
logger.debug(f"[私聊][{self.private_name}]LLM (结束决策) 原始返回内容: {end_content}")
|
||||
|
||||
# 解析结束决策的JSON
|
||||
end_success, end_result = get_items_from_json(
|
||||
end_content,
|
||||
self.private_name,
|
||||
"say_bye",
|
||||
"reason",
|
||||
default_values={"say_bye": "no", "reason": "结束决策LLM返回格式错误，默认不告别"},
|
||||
required_types={"say_bye": str, "reason": str}, # 明确类型
|
||||
)
|
||||
|
||||
say_bye_decision = end_result.get("say_bye", "no").lower() # 转小写方便比较
|
||||
end_decision_reason = end_result.get("reason", "未提供原因")
|
||||
|
||||
if end_success and say_bye_decision == "yes":
|
||||
# 决定要告别，返回新的 'say_goodbye' 动作
|
||||
logger.info(
|
||||
f"[私聊][{self.private_name}]结束决策: yes, 准备生成告别语. 原因: {end_decision_reason}"
|
||||
)
|
||||
# 注意：这里的 reason 可以考虑拼接初始原因和结束决策原因，或者只用结束决策原因
|
||||
final_action = "say_goodbye"
|
||||
final_reason = f"决定发送告别语。决策原因: {end_decision_reason} (原结束理由: {initial_reason})"
|
||||
return final_action, final_reason
|
||||
else:
|
||||
# 决定不告别 (包括解析失败或明确说no)
|
||||
logger.info(
|
||||
f"[私聊][{self.private_name}]结束决策: no, 直接结束对话. 原因: {end_decision_reason}"
|
||||
)
|
||||
# 返回原始的 'end_conversation' 动作
|
||||
final_action = "end_conversation"
|
||||
final_reason = initial_reason # 保持原始的结束理由
|
||||
return final_action, final_reason
|
||||
|
||||
except Exception as end_e:
|
||||
logger.error(f"[私聊][{self.private_name}]调用结束决策LLM或处理结果时出错: {str(end_e)}")
|
||||
# 出错时，默认执行原始的结束对话
|
||||
logger.warning(f"[私聊][{self.private_name}]结束决策出错，将按原计划执行 end_conversation")
|
||||
return "end_conversation", initial_reason # 返回原始动作和原因
|
||||
|
||||
else:
|
||||
action = initial_action
|
||||
reason = initial_reason
|
||||
|
||||
# 验证action类型 (保持不变)
|
||||
valid_actions = [
|
||||
"direct_reply",
|
||||
"send_new_message",
|
||||
"fetch_knowledge",
|
||||
"wait",
|
||||
"listening",
|
||||
"rethink_goal",
|
||||
"end_conversation", # 仍然需要验证，因为可能从上面决策后返回
|
||||
"block_and_ignore",
|
||||
"say_goodbye", # 也要验证这个新动作
|
||||
]
|
||||
if action not in valid_actions:
|
||||
logger.warning(f"[私聊][{self.private_name}]LLM返回了未知的行动类型: '{action}'，强制改为 wait")
|
||||
reason = f"(原始行动'{action}'无效，已强制改为wait) {reason}"
|
||||
action = "wait"
|
||||
|
||||
logger.info(f"[私聊][{self.private_name}]规划的行动: {action}")
|
||||
logger.info(f"[私聊][{self.private_name}]行动原因: {reason}")
|
||||
return action, reason
|
||||
|
||||
except Exception as e:
|
||||
# 外层异常处理保持不变
|
||||
logger.error(f"[私聊][{self.private_name}]规划行动时调用 LLM 或处理结果出错: {str(e)}")
|
||||
return "wait", f"行动规划处理中发生错误，暂时等待: {str(e)}"
|
||||
@@ -1,383 +0,0 @@
|
||||
import time
|
||||
import asyncio
|
||||
import traceback
|
||||
from typing import Optional, Dict, Any, List
|
||||
from src.common.logger import get_logger
|
||||
from maim_message import UserInfo
|
||||
from src.config.config import global_config
|
||||
from src.experimental.PFC.chat_states import (
|
||||
NotificationManager,
|
||||
create_new_message_notification,
|
||||
create_cold_chat_notification,
|
||||
)
|
||||
from src.experimental.PFC.message_storage import PeeweeMessageStorage
|
||||
from rich.traceback import install
|
||||
|
||||
install(extra_lines=3)
|
||||
|
||||
logger = get_logger("chat_observer")
|
||||
|
||||
|
||||
class ChatObserver:
|
||||
"""聊天状态观察器"""
|
||||
|
||||
# 类级别的实例管理
|
||||
_instances: Dict[str, "ChatObserver"] = {}
|
||||
|
||||
@classmethod
|
||||
def get_instance(cls, stream_id: str, private_name: str) -> "ChatObserver":
|
||||
"""获取或创建观察器实例
|
||||
|
||||
Args:
|
||||
stream_id: 聊天流ID
|
||||
private_name: 私聊名称
|
||||
|
||||
Returns:
|
||||
ChatObserver: 观察器实例
|
||||
"""
|
||||
if stream_id not in cls._instances:
|
||||
cls._instances[stream_id] = cls(stream_id, private_name)
|
||||
return cls._instances[stream_id]
|
||||
|
||||
def __init__(self, stream_id: str, private_name: str):
|
||||
"""初始化观察器
|
||||
|
||||
Args:
|
||||
stream_id: 聊天流ID
|
||||
"""
|
||||
self.last_check_time = None
|
||||
self.last_bot_speak_time = None
|
||||
self.last_user_speak_time = None
|
||||
if stream_id in self._instances:
|
||||
raise RuntimeError(f"ChatObserver for {stream_id} already exists. Use get_instance() instead.")
|
||||
|
||||
self.stream_id = stream_id
|
||||
self.private_name = private_name
|
||||
self.message_storage = PeeweeMessageStorage()
|
||||
|
||||
# self.last_user_speak_time: Optional[float] = None # 对方上次发言时间
|
||||
# self.last_bot_speak_time: Optional[float] = None # 机器人上次发言时间
|
||||
# self.last_check_time: float = time.time() # 上次查看聊天记录时间
|
||||
self.last_message_read: Optional[Dict[str, Any]] = None # 最后读取的消息ID
|
||||
self.last_message_time: float = time.time()
|
||||
|
||||
self.waiting_start_time: float = time.time() # 等待开始时间，初始化为当前时间
|
||||
|
||||
# 运行状态
|
||||
self._running: bool = False
|
||||
self._task: Optional[asyncio.Task] = None
|
||||
self._update_event = asyncio.Event() # 触发更新的事件
|
||||
self._update_complete = asyncio.Event() # 更新完成的事件
|
||||
|
||||
# 通知管理器
|
||||
self.notification_manager = NotificationManager()
|
||||
|
||||
# 冷场检查配置
|
||||
self.cold_chat_threshold: float = 60.0 # 60秒无消息判定为冷场
|
||||
self.last_cold_chat_check: float = time.time()
|
||||
self.is_cold_chat_state: bool = False
|
||||
|
||||
self.update_event = asyncio.Event()
|
||||
self.update_interval = 2 # 更新间隔（秒）
|
||||
self.message_cache = []
|
||||
self.update_running = False
|
||||
|
||||
async def check(self) -> bool:
|
||||
"""检查距离上一次观察之后是否有了新消息
|
||||
|
||||
Returns:
|
||||
bool: 是否有新消息
|
||||
"""
|
||||
logger.debug(f"[私聊][{self.private_name}]检查距离上一次观察之后是否有了新消息: {self.last_check_time}")
|
||||
|
||||
new_message_exists = await self.message_storage.has_new_messages(self.stream_id, self.last_check_time)
|
||||
|
||||
if new_message_exists:
|
||||
logger.debug(f"[私聊][{self.private_name}]发现新消息")
|
||||
self.last_check_time = time.time()
|
||||
|
||||
return new_message_exists
|
||||
|
||||
async def _add_message_to_history(self, message: Dict[str, Any]):
|
||||
"""添加消息到历史记录并发送通知
|
||||
|
||||
Args:
|
||||
message: 消息数据
|
||||
"""
|
||||
try:
|
||||
# 发送新消息通知
|
||||
notification = create_new_message_notification(
|
||||
sender="chat_observer", target="observation_info", message=message
|
||||
)
|
||||
# print(self.notification_manager)
|
||||
await self.notification_manager.send_notification(notification)
|
||||
except Exception as e:
|
||||
logger.error(f"[私聊][{self.private_name}]添加消息到历史记录时出错: {e}")
|
||||
print(traceback.format_exc())
|
||||
|
||||
# 检查并更新冷场状态
|
||||
await self._check_cold_chat()
|
||||
|
||||
async def _check_cold_chat(self):
|
||||
"""检查是否处于冷场状态并发送通知"""
|
||||
current_time = time.time()
|
||||
|
||||
# 每10秒检查一次冷场状态
|
||||
if current_time - self.last_cold_chat_check < 10:
|
||||
return
|
||||
|
||||
self.last_cold_chat_check = current_time
|
||||
|
||||
# 判断是否冷场
|
||||
is_cold = (
|
||||
True
|
||||
if self.last_message_time is None
|
||||
else (current_time - self.last_message_time) > self.cold_chat_threshold
|
||||
)
|
||||
|
||||
# 如果冷场状态发生变化，发送通知
|
||||
if is_cold != self.is_cold_chat_state:
|
||||
self.is_cold_chat_state = is_cold
|
||||
notification = create_cold_chat_notification(sender="chat_observer", target="pfc", is_cold=is_cold)
|
||||
await self.notification_manager.send_notification(notification)
|
||||
|
||||
def new_message_after(self, time_point: float) -> bool:
|
||||
"""判断是否在指定时间点后有新消息
|
||||
|
||||
Args:
|
||||
time_point: 时间戳
|
||||
|
||||
Returns:
|
||||
bool: 是否有新消息
|
||||
"""
|
||||
|
||||
if self.last_message_time is None:
|
||||
logger.debug(f"[私聊][{self.private_name}]没有最后消息时间，返回 False")
|
||||
return False
|
||||
|
||||
has_new = self.last_message_time > time_point
|
||||
logger.debug(
|
||||
f"[私聊][{self.private_name}]判断是否在指定时间点后有新消息: {self.last_message_time} > {time_point} = {has_new}"
|
||||
)
|
||||
return has_new
|
||||
|
||||
def get_message_history(
|
||||
self,
|
||||
start_time: Optional[float] = None,
|
||||
end_time: Optional[float] = None,
|
||||
limit: Optional[int] = None,
|
||||
user_id: Optional[str] = None,
|
||||
) -> List[Dict[str, Any]]:
|
||||
"""获取消息历史
|
||||
|
||||
Args:
|
||||
start_time: 开始时间戳
|
||||
end_time: 结束时间戳
|
||||
limit: 限制返回消息数量
|
||||
user_id: 指定用户ID
|
||||
|
||||
Returns:
|
||||
List[Dict[str, Any]]: 消息列表
|
||||
"""
|
||||
filtered_messages = self.message_history
|
||||
|
||||
if start_time is not None:
|
||||
filtered_messages = [m for m in filtered_messages if m["time"] >= start_time]
|
||||
|
||||
if end_time is not None:
|
||||
filtered_messages = [m for m in filtered_messages if m["time"] <= end_time]
|
||||
|
||||
if user_id is not None:
|
||||
filtered_messages = [
|
||||
m for m in filtered_messages if UserInfo.from_dict(m.get("user_info", {})).user_id == user_id
|
||||
]
|
||||
|
||||
if limit is not None:
|
||||
filtered_messages = filtered_messages[-limit:]
|
||||
|
||||
return filtered_messages
|
||||
|
||||
async def _fetch_new_messages(self) -> List[Dict[str, Any]]:
|
||||
"""获取新消息
|
||||
|
||||
Returns:
|
||||
List[Dict[str, Any]]: 新消息列表
|
||||
"""
|
||||
new_messages = await self.message_storage.get_messages_after(self.stream_id, self.last_message_time)
|
||||
|
||||
if new_messages:
|
||||
self.last_message_read = new_messages[-1]
|
||||
self.last_message_time = new_messages[-1]["time"]
|
||||
|
||||
# print(f"获取数据库中找到的新消息: {new_messages}")
|
||||
|
||||
return new_messages
|
||||
|
||||
async def _fetch_new_messages_before(self, time_point: float) -> List[Dict[str, Any]]:
|
||||
"""获取指定时间点之前的消息
|
||||
|
||||
Args:
|
||||
time_point: 时间戳
|
||||
|
||||
Returns:
|
||||
List[Dict[str, Any]]: 最多5条消息
|
||||
"""
|
||||
new_messages = await self.message_storage.get_messages_before(self.stream_id, time_point)
|
||||
|
||||
if new_messages:
|
||||
self.last_message_read = new_messages[-1]["message_id"]
|
||||
|
||||
logger.debug(f"[私聊][{self.private_name}]获取指定时间点111之前的消息: {new_messages}")
|
||||
|
||||
return new_messages
|
||||
|
||||
"""主要观察循环"""
|
||||
|
||||
async def _update_loop(self):
|
||||
"""更新循环"""
|
||||
# try:
|
||||
# start_time = time.time()
|
||||
# messages = await self._fetch_new_messages_before(start_time)
|
||||
# for message in messages:
|
||||
# await self._add_message_to_history(message)
|
||||
# logger.debug(f"[私聊][{self.private_name}]缓冲消息: {messages}")
|
||||
# except Exception as e:
|
||||
# logger.error(f"[私聊][{self.private_name}]缓冲消息出错: {e}")
|
||||
|
||||
while self._running:
|
||||
try:
|
||||
# 等待事件或超时（1秒）
|
||||
try:
|
||||
# print("等待事件")
|
||||
await asyncio.wait_for(self._update_event.wait(), timeout=1)
|
||||
|
||||
except asyncio.TimeoutError:
|
||||
# print("超时")
|
||||
pass # 超时后也执行一次检查
|
||||
|
||||
self._update_event.clear() # 重置触发事件
|
||||
self._update_complete.clear() # 重置完成事件
|
||||
|
||||
# 获取新消息
|
||||
new_messages = await self._fetch_new_messages()
|
||||
|
||||
if new_messages:
|
||||
# 处理新消息
|
||||
for message in new_messages:
|
||||
await self._add_message_to_history(message)
|
||||
|
||||
# 设置完成事件
|
||||
self._update_complete.set()
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"[私聊][{self.private_name}]更新循环出错: {e}")
|
||||
logger.error(f"[私聊][{self.private_name}]{traceback.format_exc()}")
|
||||
self._update_complete.set() # 即使出错也要设置完成事件
|
||||
|
||||
def trigger_update(self):
|
||||
"""触发一次立即更新"""
|
||||
self._update_event.set()
|
||||
|
||||
async def wait_for_update(self, timeout: float = 5.0) -> bool:
|
||||
"""等待更新完成
|
||||
|
||||
Args:
|
||||
timeout: 超时时间（秒）
|
||||
|
||||
Returns:
|
||||
bool: 是否成功完成更新（False表示超时）
|
||||
"""
|
||||
try:
|
||||
await asyncio.wait_for(self._update_complete.wait(), timeout=timeout)
|
||||
return True
|
||||
except asyncio.TimeoutError:
|
||||
logger.warning(f"[私聊][{self.private_name}]等待更新完成超时（{timeout}秒）")
|
||||
return False
|
||||
|
||||
def start(self):
|
||||
"""启动观察器"""
|
||||
if self._running:
|
||||
return
|
||||
|
||||
self._running = True
|
||||
self._task = asyncio.create_task(self._update_loop())
|
||||
logger.debug(f"[私聊][{self.private_name}]ChatObserver for {self.stream_id} started")
|
||||
|
||||
def stop(self):
|
||||
"""停止观察器"""
|
||||
self._running = False
|
||||
self._update_event.set() # 设置事件以解除等待
|
||||
self._update_complete.set() # 设置完成事件以解除等待
|
||||
if self._task:
|
||||
self._task.cancel()
|
||||
logger.debug(f"[私聊][{self.private_name}]ChatObserver for {self.stream_id} stopped")
|
||||
|
||||
async def process_chat_history(self, messages: list):
|
||||
"""处理聊天历史
|
||||
|
||||
Args:
|
||||
messages: 消息列表
|
||||
"""
|
||||
self.update_check_time()
|
||||
|
||||
for msg in messages:
|
||||
try:
|
||||
user_info = UserInfo.from_dict(msg.get("user_info", {}))
|
||||
if user_info.user_id == global_config.bot.qq_account:
|
||||
self.update_bot_speak_time(msg["time"])
|
||||
else:
|
||||
self.update_user_speak_time(msg["time"])
|
||||
except Exception as e:
|
||||
logger.warning(f"[私聊][{self.private_name}]处理消息时间时出错: {e}")
|
||||
continue
|
||||
|
||||
def update_check_time(self):
|
||||
"""更新查看时间"""
|
||||
self.last_check_time = time.time()
|
||||
|
||||
def update_bot_speak_time(self, speak_time: Optional[float] = None):
|
||||
"""更新机器人说话时间"""
|
||||
self.last_bot_speak_time = speak_time or time.time()
|
||||
|
||||
def update_user_speak_time(self, speak_time: Optional[float] = None):
|
||||
"""更新用户说话时间"""
|
||||
self.last_user_speak_time = speak_time or time.time()
|
||||
|
||||
def get_time_info(self) -> str:
|
||||
"""获取时间信息文本"""
|
||||
current_time = time.time()
|
||||
time_info = ""
|
||||
|
||||
if self.last_bot_speak_time:
|
||||
bot_speak_ago = current_time - self.last_bot_speak_time
|
||||
time_info += f"\n距离你上次发言已经过去了{int(bot_speak_ago)}秒"
|
||||
|
||||
if self.last_user_speak_time:
|
||||
user_speak_ago = current_time - self.last_user_speak_time
|
||||
time_info += f"\n距离对方上次发言已经过去了{int(user_speak_ago)}秒"
|
||||
|
||||
return time_info
|
||||
|
||||
def get_cached_messages(self, limit: int = 50) -> List[Dict[str, Any]]:
|
||||
"""获取缓存的消息历史
|
||||
|
||||
Args:
|
||||
limit: 获取的最大消息数量，默认50
|
||||
|
||||
Returns:
|
||||
List[Dict[str, Any]]: 缓存的消息历史列表
|
||||
"""
|
||||
return self.message_cache[-limit:]
|
||||
|
||||
def get_last_message(self) -> Optional[Dict[str, Any]]:
|
||||
"""获取最后一条消息
|
||||
|
||||
Returns:
|
||||
Optional[Dict[str, Any]]: 最后一条消息，如果没有则返回None
|
||||
"""
|
||||
if not self.message_cache:
|
||||
return None
|
||||
return self.message_cache[-1]
|
||||
|
||||
def __str__(self):
|
||||
return f"ChatObserver for {self.stream_id}"
|
||||
@@ -1,290 +0,0 @@
|
||||
from enum import Enum, auto
|
||||
from typing import Optional, Dict, Any, List, Set
|
||||
from dataclasses import dataclass
|
||||
from datetime import datetime
|
||||
from abc import ABC, abstractmethod
|
||||
|
||||
|
||||
class ChatState(Enum):
|
||||
"""聊天状态枚举"""
|
||||
|
||||
NORMAL = auto() # 正常状态
|
||||
NEW_MESSAGE = auto() # 有新消息
|
||||
COLD_CHAT = auto() # 冷场状态
|
||||
ACTIVE_CHAT = auto() # 活跃状态
|
||||
BOT_SPEAKING = auto() # 机器人正在说话
|
||||
USER_SPEAKING = auto() # 用户正在说话
|
||||
SILENT = auto() # 沉默状态
|
||||
ERROR = auto() # 错误状态
|
||||
|
||||
|
||||
class NotificationType(Enum):
|
||||
"""通知类型枚举"""
|
||||
|
||||
NEW_MESSAGE = auto() # 新消息通知
|
||||
COLD_CHAT = auto() # 冷场通知
|
||||
ACTIVE_CHAT = auto() # 活跃通知
|
||||
BOT_SPEAKING = auto() # 机器人说话通知
|
||||
USER_SPEAKING = auto() # 用户说话通知
|
||||
MESSAGE_DELETED = auto() # 消息删除通知
|
||||
USER_JOINED = auto() # 用户加入通知
|
||||
USER_LEFT = auto() # 用户离开通知
|
||||
ERROR = auto() # 错误通知
|
||||
|
||||
|
||||
@dataclass
|
||||
class ChatStateInfo:
|
||||
"""聊天状态信息"""
|
||||
|
||||
state: ChatState
|
||||
last_message_time: Optional[float] = None
|
||||
last_message_content: Optional[str] = None
|
||||
last_speaker: Optional[str] = None
|
||||
message_count: int = 0
|
||||
cold_duration: float = 0.0 # 冷场持续时间（秒）
|
||||
active_duration: float = 0.0 # 活跃持续时间（秒）
|
||||
|
||||
|
||||
@dataclass
|
||||
class Notification:
|
||||
"""通知基类"""
|
||||
|
||||
type: NotificationType
|
||||
timestamp: float
|
||||
sender: str # 发送者标识
|
||||
target: str # 接收者标识
|
||||
data: Dict[str, Any]
|
||||
|
||||
def to_dict(self) -> Dict[str, Any]:
|
||||
"""转换为字典格式"""
|
||||
return {"type": self.type.name, "timestamp": self.timestamp, "data": self.data}
|
||||
|
||||
|
||||
@dataclass
|
||||
class StateNotification(Notification):
|
||||
"""持续状态通知"""
|
||||
|
||||
is_active: bool = True
|
||||
|
||||
def to_dict(self) -> Dict[str, Any]:
|
||||
base_dict = super().to_dict()
|
||||
base_dict["is_active"] = self.is_active
|
||||
return base_dict
|
||||
|
||||
|
||||
class NotificationHandler(ABC):
|
||||
"""通知处理器接口"""
|
||||
|
||||
@abstractmethod
|
||||
async def handle_notification(self, notification: Notification):
|
||||
"""处理通知"""
|
||||
pass
|
||||
|
||||
|
||||
class NotificationManager:
|
||||
"""通知管理器"""
|
||||
|
||||
def __init__(self):
|
||||
# 按接收者和通知类型存储处理器
|
||||
self._handlers: Dict[str, Dict[NotificationType, List[NotificationHandler]]] = {}
|
||||
self._active_states: Set[NotificationType] = set()
|
||||
self._notification_history: List[Notification] = []
|
||||
|
||||
def register_handler(self, target: str, notification_type: NotificationType, handler: NotificationHandler):
|
||||
"""注册通知处理器
|
||||
|
||||
Args:
|
||||
target: 接收者标识（例如："pfc"）
|
||||
notification_type: 要处理的通知类型
|
||||
handler: 处理器实例
|
||||
"""
|
||||
if target not in self._handlers:
|
||||
self._handlers[target] = {}
|
||||
if notification_type not in self._handlers[target]:
|
||||
self._handlers[target][notification_type] = []
|
||||
# print(self._handlers[target][notification_type])
|
||||
self._handlers[target][notification_type].append(handler)
|
||||
# print(self._handlers[target][notification_type])
|
||||
|
||||
def unregister_handler(self, target: str, notification_type: NotificationType, handler: NotificationHandler):
|
||||
"""注销通知处理器
|
||||
|
||||
Args:
|
||||
target: 接收者标识
|
||||
notification_type: 通知类型
|
||||
handler: 要注销的处理器实例
|
||||
"""
|
||||
if target in self._handlers and notification_type in self._handlers[target]:
|
||||
handlers = self._handlers[target][notification_type]
|
||||
if handler in handlers:
|
||||
handlers.remove(handler)
|
||||
# 如果该类型的处理器列表为空，删除该类型
|
||||
if not handlers:
|
||||
del self._handlers[target][notification_type]
|
||||
# 如果该目标没有任何处理器，删除该目标
|
||||
if not self._handlers[target]:
|
||||
del self._handlers[target]
|
||||
|
||||
async def send_notification(self, notification: Notification):
|
||||
"""发送通知"""
|
||||
self._notification_history.append(notification)
|
||||
|
||||
# 如果是状态通知，更新活跃状态
|
||||
if isinstance(notification, StateNotification):
|
||||
if notification.is_active:
|
||||
self._active_states.add(notification.type)
|
||||
else:
|
||||
self._active_states.discard(notification.type)
|
||||
|
||||
# 调用目标接收者的处理器
|
||||
target = notification.target
|
||||
if target in self._handlers:
|
||||
handlers = self._handlers[target].get(notification.type, [])
|
||||
# print(handlers)
|
||||
for handler in handlers:
|
||||
# print(f"调用处理器: {handler}")
|
||||
await handler.handle_notification(notification)
|
||||
|
||||
def get_active_states(self) -> Set[NotificationType]:
|
||||
"""获取当前活跃的状态"""
|
||||
return self._active_states.copy()
|
||||
|
||||
def is_state_active(self, state_type: NotificationType) -> bool:
|
||||
"""检查特定状态是否活跃"""
|
||||
return state_type in self._active_states
|
||||
|
||||
def get_notification_history(
|
||||
self, sender: Optional[str] = None, target: Optional[str] = None, limit: Optional[int] = None
|
||||
) -> List[Notification]:
|
||||
"""获取通知历史
|
||||
|
||||
Args:
|
||||
sender: 过滤特定发送者的通知
|
||||
target: 过滤特定接收者的通知
|
||||
limit: 限制返回数量
|
||||
"""
|
||||
history = self._notification_history
|
||||
|
||||
if sender:
|
||||
history = [n for n in history if n.sender == sender]
|
||||
if target:
|
||||
history = [n for n in history if n.target == target]
|
||||
|
||||
if limit is not None:
|
||||
history = history[-limit:]
|
||||
|
||||
return history
|
||||
|
||||
def __str__(self):
|
||||
str = ""
|
||||
for target, handlers in self._handlers.items():
|
||||
for notification_type, handler_list in handlers.items():
|
||||
str += f"NotificationManager for {target} {notification_type} {handler_list}"
|
||||
return str
|
||||
|
||||
|
||||
# 一些常用的通知创建函数
|
||||
def create_new_message_notification(sender: str, target: str, message: Dict[str, Any]) -> Notification:
|
||||
"""创建新消息通知"""
|
||||
return Notification(
|
||||
type=NotificationType.NEW_MESSAGE,
|
||||
timestamp=datetime.now().timestamp(),
|
||||
sender=sender,
|
||||
target=target,
|
||||
data={
|
||||
"message_id": message.get("message_id"),
|
||||
"processed_plain_text": message.get("processed_plain_text"),
|
||||
"detailed_plain_text": message.get("detailed_plain_text"),
|
||||
"user_info": message.get("user_info"),
|
||||
"time": message.get("time"),
|
||||
},
|
||||
)
|
||||
|
||||
|
||||
def create_cold_chat_notification(sender: str, target: str, is_cold: bool) -> StateNotification:
|
||||
"""创建冷场状态通知"""
|
||||
return StateNotification(
|
||||
type=NotificationType.COLD_CHAT,
|
||||
timestamp=datetime.now().timestamp(),
|
||||
sender=sender,
|
||||
target=target,
|
||||
data={"is_cold": is_cold},
|
||||
is_active=is_cold,
|
||||
)
|
||||
|
||||
|
||||
def create_active_chat_notification(sender: str, target: str, is_active: bool) -> StateNotification:
|
||||
"""创建活跃状态通知"""
|
||||
return StateNotification(
|
||||
type=NotificationType.ACTIVE_CHAT,
|
||||
timestamp=datetime.now().timestamp(),
|
||||
sender=sender,
|
||||
target=target,
|
||||
data={"is_active": is_active},
|
||||
is_active=is_active,
|
||||
)
|
||||
|
||||
|
||||
class ChatStateManager:
|
||||
"""聊天状态管理器"""
|
||||
|
||||
def __init__(self):
|
||||
self.current_state = ChatState.NORMAL
|
||||
self.state_info = ChatStateInfo(state=ChatState.NORMAL)
|
||||
self.state_history: list[ChatStateInfo] = []
|
||||
|
||||
def update_state(self, new_state: ChatState, **kwargs):
|
||||
"""更新聊天状态
|
||||
|
||||
Args:
|
||||
new_state: 新的状态
|
||||
**kwargs: 其他状态信息
|
||||
"""
|
||||
self.current_state = new_state
|
||||
self.state_info.state = new_state
|
||||
|
||||
# 更新其他状态信息
|
||||
for key, value in kwargs.items():
|
||||
if hasattr(self.state_info, key):
|
||||
setattr(self.state_info, key, value)
|
||||
|
||||
# 记录状态历史
|
||||
self.state_history.append(self.state_info)
|
||||
|
||||
def get_current_state_info(self) -> ChatStateInfo:
|
||||
"""获取当前状态信息"""
|
||||
return self.state_info
|
||||
|
||||
def get_state_history(self) -> list[ChatStateInfo]:
|
||||
"""获取状态历史"""
|
||||
return self.state_history
|
||||
|
||||
def is_cold_chat(self, threshold: float = 60.0) -> bool:
|
||||
"""判断是否处于冷场状态
|
||||
|
||||
Args:
|
||||
threshold: 冷场阈值（秒）
|
||||
|
||||
Returns:
|
||||
bool: 是否冷场
|
||||
"""
|
||||
if not self.state_info.last_message_time:
|
||||
return True
|
||||
|
||||
current_time = datetime.now().timestamp()
|
||||
return (current_time - self.state_info.last_message_time) > threshold
|
||||
|
||||
def is_active_chat(self, threshold: float = 5.0) -> bool:
|
||||
"""判断是否处于活跃状态
|
||||
|
||||
Args:
|
||||
threshold: 活跃阈值（秒）
|
||||
|
||||
Returns:
|
||||
bool: 是否活跃
|
||||
"""
|
||||
if not self.state_info.last_message_time:
|
||||
return False
|
||||
|
||||
current_time = datetime.now().timestamp()
|
||||
return (current_time - self.state_info.last_message_time) <= threshold
|
||||
@@ -1,700 +0,0 @@
|
||||
import time
|
||||
import asyncio
|
||||
import datetime
|
||||
|
||||
# from .message_storage import MongoDBMessageStorage
|
||||
from src.chat.utils.chat_message_builder import build_readable_messages, get_raw_msg_before_timestamp_with_chat
|
||||
|
||||
# from ...config.config import global_config
|
||||
from typing import Dict, Any, Optional
|
||||
from src.chat.message_receive.message import Message
|
||||
from .pfc_types import ConversationState
|
||||
from .pfc import ChatObserver, GoalAnalyzer
|
||||
from src.common.logger import get_logger
|
||||
from .action_planner import ActionPlanner
|
||||
from .observation_info import ObservationInfo
|
||||
from .conversation_info import ConversationInfo # 确保导入 ConversationInfo
|
||||
from .reply_generator import ReplyGenerator
|
||||
from src.chat.message_receive.chat_stream import ChatStream
|
||||
from src.chat.message_receive.message import UserInfo
|
||||
from src.chat.message_receive.chat_stream import get_chat_manager
|
||||
from .pfc_KnowledgeFetcher import KnowledgeFetcher
|
||||
from .waiter import Waiter
|
||||
|
||||
import traceback
|
||||
from rich.traceback import install
|
||||
|
||||
install(extra_lines=3)
|
||||
|
||||
logger = get_logger("pfc")
|
||||
|
||||
|
||||
class Conversation:
|
||||
"""对话类，负责管理单个对话的状态和行为"""
|
||||
|
||||
def __init__(self, stream_id: str, private_name: str):
|
||||
"""初始化对话实例
|
||||
|
||||
Args:
|
||||
stream_id: 聊天流ID
|
||||
"""
|
||||
self.stream_id = stream_id
|
||||
self.private_name = private_name
|
||||
self.state = ConversationState.INIT
|
||||
self.should_continue = False
|
||||
self.ignore_until_timestamp: Optional[float] = None
|
||||
|
||||
# 回复相关
|
||||
self.generated_reply = ""
|
||||
|
||||
async def _initialize(self):
|
||||
"""初始化实例，注册所有组件"""
|
||||
|
||||
try:
|
||||
self.action_planner = ActionPlanner(self.stream_id, self.private_name)
|
||||
self.goal_analyzer = GoalAnalyzer(self.stream_id, self.private_name)
|
||||
self.reply_generator = ReplyGenerator(self.stream_id, self.private_name)
|
||||
self.knowledge_fetcher = KnowledgeFetcher(self.private_name)
|
||||
self.waiter = Waiter(self.stream_id, self.private_name)
|
||||
self.direct_sender = DirectMessageSender(self.private_name)
|
||||
|
||||
# 获取聊天流信息
|
||||
self.chat_stream = get_chat_manager().get_stream(self.stream_id)
|
||||
|
||||
self.stop_action_planner = False
|
||||
except Exception as e:
|
||||
logger.error(f"[私聊][{self.private_name}]初始化对话实例：注册运行组件失败: {e}")
|
||||
logger.error(f"[私聊][{self.private_name}]{traceback.format_exc()}")
|
||||
raise
|
||||
|
||||
try:
|
||||
# 决策所需要的信息，包括自身自信和观察信息两部分
|
||||
# 注册观察器和观测信息
|
||||
self.chat_observer = ChatObserver.get_instance(self.stream_id, self.private_name)
|
||||
self.chat_observer.start()
|
||||
self.observation_info = ObservationInfo(self.private_name)
|
||||
self.observation_info.bind_to_chat_observer(self.chat_observer)
|
||||
# print(self.chat_observer.get_cached_messages(limit=)
|
||||
|
||||
self.conversation_info = ConversationInfo()
|
||||
except Exception as e:
|
||||
logger.error(f"[私聊][{self.private_name}]初始化对话实例：注册信息组件失败: {e}")
|
||||
logger.error(f"[私聊][{self.private_name}]{traceback.format_exc()}")
|
||||
raise
|
||||
try:
|
||||
logger.info(f"[私聊][{self.private_name}]为 {self.stream_id} 加载初始聊天记录...")
|
||||
initial_messages = get_raw_msg_before_timestamp_with_chat( #
|
||||
chat_id=self.stream_id,
|
||||
timestamp=time.time(),
|
||||
limit=30, # 加载最近30条作为初始上下文，可以调整
|
||||
)
|
||||
chat_talking_prompt = build_readable_messages(
|
||||
initial_messages,
|
||||
replace_bot_name=True,
|
||||
merge_messages=False,
|
||||
timestamp_mode="relative",
|
||||
read_mark=0.0,
|
||||
)
|
||||
if initial_messages:
|
||||
# 将加载的消息填充到 ObservationInfo 的 chat_history
|
||||
self.observation_info.chat_history = initial_messages
|
||||
self.observation_info.chat_history_str = chat_talking_prompt + "\n"
|
||||
self.observation_info.chat_history_count = len(initial_messages)
|
||||
|
||||
# 更新 ObservationInfo 中的时间戳等信息
|
||||
last_msg = initial_messages[-1]
|
||||
self.observation_info.last_message_time = last_msg.get("time")
|
||||
last_user_info = UserInfo.from_dict(last_msg.get("user_info", {}))
|
||||
self.observation_info.last_message_sender = last_user_info.user_id
|
||||
self.observation_info.last_message_content = last_msg.get("processed_plain_text", "")
|
||||
|
||||
logger.info(
|
||||
f"[私聊][{self.private_name}]成功加载 {len(initial_messages)} 条初始聊天记录。最后一条消息时间: {self.observation_info.last_message_time}"
|
||||
)
|
||||
|
||||
# 让 ChatObserver 从加载的最后一条消息之后开始同步
|
||||
self.chat_observer.last_message_time = self.observation_info.last_message_time
|
||||
self.chat_observer.last_message_read = last_msg # 更新 observer 的最后读取记录
|
||||
else:
|
||||
logger.info(f"[私聊][{self.private_name}]没有找到初始聊天记录。")
|
||||
|
||||
except Exception as load_err:
|
||||
logger.error(f"[私聊][{self.private_name}]加载初始聊天记录时出错: {load_err}")
|
||||
# 出错也要继续，只是没有历史记录而已
|
||||
# 组件准备完成，启动该论对话
|
||||
self.should_continue = True
|
||||
asyncio.create_task(self.start())
|
||||
|
||||
async def start(self):
|
||||
"""开始对话流程"""
|
||||
try:
|
||||
logger.info(f"[私聊][{self.private_name}]对话系统启动中...")
|
||||
asyncio.create_task(self._plan_and_action_loop())
|
||||
except Exception as e:
|
||||
logger.error(f"[私聊][{self.private_name}]启动对话系统失败: {e}")
|
||||
raise
|
||||
|
||||
async def _plan_and_action_loop(self):
|
||||
"""思考步，PFC核心循环模块"""
|
||||
while self.should_continue:
|
||||
# 忽略逻辑
|
||||
if self.ignore_until_timestamp and time.time() < self.ignore_until_timestamp:
|
||||
await asyncio.sleep(30)
|
||||
continue
|
||||
elif self.ignore_until_timestamp and time.time() >= self.ignore_until_timestamp:
|
||||
logger.info(f"[私聊][{self.private_name}]忽略时间已到 {self.stream_id}，准备结束对话。")
|
||||
self.ignore_until_timestamp = None
|
||||
self.should_continue = False
|
||||
continue
|
||||
try:
|
||||
# --- 在规划前记录当前新消息数量 ---
|
||||
initial_new_message_count = 0
|
||||
if hasattr(self.observation_info, "new_messages_count"):
|
||||
initial_new_message_count = self.observation_info.new_messages_count + 1 # 算上麦麦自己发的那一条
|
||||
else:
|
||||
logger.warning(
|
||||
f"[私聊][{self.private_name}]ObservationInfo missing 'new_messages_count' before planning."
|
||||
)
|
||||
|
||||
# --- 调用 Action Planner ---
|
||||
# 传递 self.conversation_info.last_successful_reply_action
|
||||
action, reason = await self.action_planner.plan(
|
||||
self.observation_info, self.conversation_info, self.conversation_info.last_successful_reply_action
|
||||
)
|
||||
|
||||
# --- 规划后检查是否有 *更多* 新消息到达 ---
|
||||
current_new_message_count = 0
|
||||
if hasattr(self.observation_info, "new_messages_count"):
|
||||
current_new_message_count = self.observation_info.new_messages_count
|
||||
else:
|
||||
logger.warning(
|
||||
f"[私聊][{self.private_name}]ObservationInfo missing 'new_messages_count' after planning."
|
||||
)
|
||||
|
||||
if current_new_message_count > initial_new_message_count + 2:
|
||||
logger.info(
|
||||
f"[私聊][{self.private_name}]规划期间发现新增消息 ({initial_new_message_count} -> {current_new_message_count})，跳过本次行动，重新规划"
|
||||
)
|
||||
# 如果规划期间有新消息，也应该重置上次回复状态，因为现在要响应新消息了
|
||||
self.conversation_info.last_successful_reply_action = None
|
||||
await asyncio.sleep(0.1)
|
||||
continue
|
||||
|
||||
# 包含 send_new_message
|
||||
if initial_new_message_count > 0 and action in ["direct_reply", "send_new_message"]:
|
||||
if hasattr(self.observation_info, "clear_unprocessed_messages"):
|
||||
logger.debug(
|
||||
f"[私聊][{self.private_name}]准备执行 {action}，清理 {initial_new_message_count} 条规划时已知的新消息。"
|
||||
)
|
||||
await self.observation_info.clear_unprocessed_messages()
|
||||
if hasattr(self.observation_info, "new_messages_count"):
|
||||
self.observation_info.new_messages_count = 0
|
||||
else:
|
||||
logger.error(
|
||||
f"[私聊][{self.private_name}]无法清理未处理消息: ObservationInfo 缺少 clear_unprocessed_messages 方法！"
|
||||
)
|
||||
|
||||
await self._handle_action(action, reason, self.observation_info, self.conversation_info)
|
||||
|
||||
# 检查是否需要结束对话 (逻辑不变)
|
||||
goal_ended = False
|
||||
if hasattr(self.conversation_info, "goal_list") and self.conversation_info.goal_list:
|
||||
for goal_item in self.conversation_info.goal_list:
|
||||
if isinstance(goal_item, dict):
|
||||
current_goal = goal_item.get("goal")
|
||||
|
||||
if current_goal == "结束对话":
|
||||
goal_ended = True
|
||||
break
|
||||
|
||||
if goal_ended:
|
||||
self.should_continue = False
|
||||
logger.info(f"[私聊][{self.private_name}]检测到'结束对话'目标，停止循环。")
|
||||
|
||||
except Exception as loop_err:
|
||||
logger.error(f"[私聊][{self.private_name}]PFC主循环出错: {loop_err}")
|
||||
logger.error(f"[私聊][{self.private_name}]{traceback.format_exc()}")
|
||||
await asyncio.sleep(1)
|
||||
|
||||
if self.should_continue:
|
||||
await asyncio.sleep(0.1)
|
||||
|
||||
logger.info(f"[私聊][{self.private_name}]PFC 循环结束 for stream_id: {self.stream_id}")
|
||||
|
||||
def _check_new_messages_after_planning(self):
|
||||
"""检查在规划后是否有新消息"""
|
||||
# 检查 ObservationInfo 是否已初始化并且有 new_messages_count 属性
|
||||
if not hasattr(self, "observation_info") or not hasattr(self.observation_info, "new_messages_count"):
|
||||
logger.warning(
|
||||
f"[私聊][{self.private_name}]ObservationInfo 未初始化或缺少 'new_messages_count' 属性，无法检查新消息。"
|
||||
)
|
||||
return False # 或者根据需要抛出错误
|
||||
|
||||
if self.observation_info.new_messages_count > 2:
|
||||
logger.info(
|
||||
f"[私聊][{self.private_name}]生成/执行动作期间收到 {self.observation_info.new_messages_count} 条新消息，取消当前动作并重新规划"
|
||||
)
|
||||
# 如果有新消息，也应该重置上次回复状态
|
||||
if hasattr(self, "conversation_info"): # 确保 conversation_info 已初始化
|
||||
self.conversation_info.last_successful_reply_action = None
|
||||
else:
|
||||
logger.warning(
|
||||
f"[私聊][{self.private_name}]ConversationInfo 未初始化，无法重置 last_successful_reply_action。"
|
||||
)
|
||||
return True
|
||||
return False
|
||||
|
||||
def _convert_to_message(self, msg_dict: Dict[str, Any]) -> Message:
|
||||
"""将消息字典转换为Message对象"""
|
||||
try:
|
||||
# 尝试从 msg_dict 直接获取 chat_stream，如果失败则从全局 get_chat_manager 获取
|
||||
chat_info = msg_dict.get("chat_info")
|
||||
if chat_info and isinstance(chat_info, dict):
|
||||
chat_stream = ChatStream.from_dict(chat_info)
|
||||
elif self.chat_stream: # 使用实例变量中的 chat_stream
|
||||
chat_stream = self.chat_stream
|
||||
else: # Fallback: 尝试从 manager 获取 (可能需要 stream_id)
|
||||
chat_stream = get_chat_manager().get_stream(self.stream_id)
|
||||
if not chat_stream:
|
||||
raise ValueError(f"无法确定 ChatStream for stream_id {self.stream_id}")
|
||||
|
||||
user_info = UserInfo.from_dict(msg_dict.get("user_info", {}))
|
||||
|
||||
return Message(
|
||||
message_id=msg_dict.get("message_id", f"gen_{time.time()}"), # 提供默认 ID
|
||||
chat_stream=chat_stream, # 使用确定的 chat_stream
|
||||
time=msg_dict.get("time", time.time()), # 提供默认时间
|
||||
user_info=user_info,
|
||||
processed_plain_text=msg_dict.get("processed_plain_text", ""),
|
||||
detailed_plain_text=msg_dict.get("detailed_plain_text", ""),
|
||||
)
|
||||
except Exception as e:
|
||||
logger.warning(f"[私聊][{self.private_name}]转换消息时出错: {e}")
|
||||
# 可以选择返回 None 或重新抛出异常，这里选择重新抛出以指示问题
|
||||
raise ValueError(f"无法将字典转换为 Message 对象: {e}") from e
|
||||
|
||||
async def _handle_action(
|
||||
self, action: str, reason: str, observation_info: ObservationInfo, conversation_info: ConversationInfo
|
||||
):
|
||||
"""处理规划的行动"""
|
||||
|
||||
logger.debug(f"[私聊][{self.private_name}]执行行动: {action}, 原因: {reason}")
|
||||
|
||||
# 记录action历史 (逻辑不变)
|
||||
current_action_record = {
|
||||
"action": action,
|
||||
"plan_reason": reason,
|
||||
"status": "start",
|
||||
"time": datetime.datetime.now().strftime("%H:%M:%S"),
|
||||
"final_reason": None,
|
||||
}
|
||||
# 确保 done_action 列表存在
|
||||
if not hasattr(conversation_info, "done_action"):
|
||||
conversation_info.done_action = []
|
||||
conversation_info.done_action.append(current_action_record)
|
||||
action_index = len(conversation_info.done_action) - 1
|
||||
|
||||
action_successful = False # 用于标记动作是否成功完成
|
||||
|
||||
# --- 根据不同的 action 执行 ---
|
||||
|
||||
# send_new_message 失败后执行 wait
|
||||
if action == "send_new_message":
|
||||
max_reply_attempts = 3
|
||||
reply_attempt_count = 0
|
||||
is_suitable = False
|
||||
need_replan = False
|
||||
check_reason = "未进行尝试"
|
||||
final_reply_to_send = ""
|
||||
|
||||
while reply_attempt_count < max_reply_attempts and not is_suitable:
|
||||
reply_attempt_count += 1
|
||||
logger.info(
|
||||
f"[私聊][{self.private_name}]尝试生成追问回复 (第 {reply_attempt_count}/{max_reply_attempts} 次)..."
|
||||
)
|
||||
self.state = ConversationState.GENERATING
|
||||
|
||||
# 1. 生成回复 (调用 generate 时传入 action_type)
|
||||
self.generated_reply = await self.reply_generator.generate(
|
||||
observation_info, conversation_info, action_type="send_new_message"
|
||||
)
|
||||
logger.info(
|
||||
f"[私聊][{self.private_name}]第 {reply_attempt_count} 次生成的追问回复: {self.generated_reply}"
|
||||
)
|
||||
|
||||
# 2. 检查回复 (逻辑不变)
|
||||
self.state = ConversationState.CHECKING
|
||||
try:
|
||||
current_goal_str = conversation_info.goal_list[0]["goal"] if conversation_info.goal_list else ""
|
||||
is_suitable, check_reason, need_replan = await self.reply_generator.check_reply(
|
||||
reply=self.generated_reply,
|
||||
goal=current_goal_str,
|
||||
chat_history=observation_info.chat_history,
|
||||
chat_history_str=observation_info.chat_history_str,
|
||||
retry_count=reply_attempt_count - 1,
|
||||
)
|
||||
logger.info(
|
||||
f"[私聊][{self.private_name}]第 {reply_attempt_count} 次追问检查结果: 合适={is_suitable}, 原因='{check_reason}', 需重新规划={need_replan}"
|
||||
)
|
||||
if is_suitable:
|
||||
final_reply_to_send = self.generated_reply
|
||||
break
|
||||
elif need_replan:
|
||||
logger.warning(
|
||||
f"[私聊][{self.private_name}]第 {reply_attempt_count} 次追问检查建议重新规划，停止尝试。原因: {check_reason}"
|
||||
)
|
||||
break
|
||||
except Exception as check_err:
|
||||
logger.error(
|
||||
f"[私聊][{self.private_name}]第 {reply_attempt_count} 次调用 ReplyChecker (追问) 时出错: {check_err}"
|
||||
)
|
||||
check_reason = f"第 {reply_attempt_count} 次检查过程出错: {check_err}"
|
||||
break
|
||||
|
||||
# 循环结束，处理最终结果
|
||||
if is_suitable:
|
||||
# 检查是否有新消息
|
||||
if self._check_new_messages_after_planning():
|
||||
logger.info(f"[私聊][{self.private_name}]生成追问回复期间收到新消息，取消发送，重新规划行动")
|
||||
conversation_info.done_action[action_index].update(
|
||||
{"status": "recall", "final_reason": f"有新消息，取消发送追问: {final_reply_to_send}"}
|
||||
)
|
||||
return # 直接返回，重新规划
|
||||
|
||||
# 发送合适的回复
|
||||
self.generated_reply = final_reply_to_send
|
||||
# --- 在这里调用 _send_reply ---
|
||||
await self._send_reply() # <--- 调用恢复后的函数
|
||||
|
||||
# 更新状态: 标记上次成功是 send_new_message
|
||||
self.conversation_info.last_successful_reply_action = "send_new_message"
|
||||
action_successful = True # 标记动作成功
|
||||
|
||||
elif need_replan:
|
||||
# 打回动作决策
|
||||
logger.warning(
|
||||
f"[私聊][{self.private_name}]经过 {reply_attempt_count} 次尝试，追问回复决定打回动作决策。打回原因: {check_reason}"
|
||||
)
|
||||
conversation_info.done_action[action_index].update(
|
||||
{"status": "recall", "final_reason": f"追问尝试{reply_attempt_count}次后打回: {check_reason}"}
|
||||
)
|
||||
|
||||
else:
|
||||
# 追问失败
|
||||
logger.warning(
|
||||
f"[私聊][{self.private_name}]经过 {reply_attempt_count} 次尝试，未能生成合适的追问回复。最终原因: {check_reason}"
|
||||
)
|
||||
conversation_info.done_action[action_index].update(
|
||||
{"status": "recall", "final_reason": f"追问尝试{reply_attempt_count}次后失败: {check_reason}"}
|
||||
)
|
||||
# 重置状态: 追问失败，下次用初始 prompt
|
||||
self.conversation_info.last_successful_reply_action = None
|
||||
|
||||
# 执行 Wait 操作
|
||||
logger.info(f"[私聊][{self.private_name}]由于无法生成合适追问回复，执行 'wait' 操作...")
|
||||
self.state = ConversationState.WAITING
|
||||
await self.waiter.wait(self.conversation_info)
|
||||
wait_action_record = {
|
||||
"action": "wait",
|
||||
"plan_reason": "因 send_new_message 多次尝试失败而执行的后备等待",
|
||||
"status": "done",
|
||||
"time": datetime.datetime.now().strftime("%H:%M:%S"),
|
||||
"final_reason": None,
|
||||
}
|
||||
conversation_info.done_action.append(wait_action_record)
|
||||
|
||||
elif action == "direct_reply":
|
||||
max_reply_attempts = 3
|
||||
reply_attempt_count = 0
|
||||
is_suitable = False
|
||||
need_replan = False
|
||||
check_reason = "未进行尝试"
|
||||
final_reply_to_send = ""
|
||||
|
||||
while reply_attempt_count < max_reply_attempts and not is_suitable:
|
||||
reply_attempt_count += 1
|
||||
logger.info(
|
||||
f"[私聊][{self.private_name}]尝试生成首次回复 (第 {reply_attempt_count}/{max_reply_attempts} 次)..."
|
||||
)
|
||||
self.state = ConversationState.GENERATING
|
||||
|
||||
# 1. 生成回复
|
||||
self.generated_reply = await self.reply_generator.generate(
|
||||
observation_info, conversation_info, action_type="direct_reply"
|
||||
)
|
||||
logger.info(
|
||||
f"[私聊][{self.private_name}]第 {reply_attempt_count} 次生成的首次回复: {self.generated_reply}"
|
||||
)
|
||||
|
||||
# 2. 检查回复
|
||||
self.state = ConversationState.CHECKING
|
||||
try:
|
||||
current_goal_str = conversation_info.goal_list[0]["goal"] if conversation_info.goal_list else ""
|
||||
is_suitable, check_reason, need_replan = await self.reply_generator.check_reply(
|
||||
reply=self.generated_reply,
|
||||
goal=current_goal_str,
|
||||
chat_history=observation_info.chat_history,
|
||||
chat_history_str=observation_info.chat_history_str,
|
||||
retry_count=reply_attempt_count - 1,
|
||||
)
|
||||
logger.info(
|
||||
f"[私聊][{self.private_name}]第 {reply_attempt_count} 次首次回复检查结果: 合适={is_suitable}, 原因='{check_reason}', 需重新规划={need_replan}"
|
||||
)
|
||||
if is_suitable:
|
||||
final_reply_to_send = self.generated_reply
|
||||
break
|
||||
elif need_replan:
|
||||
logger.warning(
|
||||
f"[私聊][{self.private_name}]第 {reply_attempt_count} 次首次回复检查建议重新规划，停止尝试。原因: {check_reason}"
|
||||
)
|
||||
break
|
||||
except Exception as check_err:
|
||||
logger.error(
|
||||
f"[私聊][{self.private_name}]第 {reply_attempt_count} 次调用 ReplyChecker (首次回复) 时出错: {check_err}"
|
||||
)
|
||||
check_reason = f"第 {reply_attempt_count} 次检查过程出错: {check_err}"
|
||||
break
|
||||
|
||||
# 循环结束，处理最终结果
|
||||
if is_suitable:
|
||||
# 检查是否有新消息
|
||||
if self._check_new_messages_after_planning():
|
||||
logger.info(f"[私聊][{self.private_name}]生成首次回复期间收到新消息，取消发送，重新规划行动")
|
||||
conversation_info.done_action[action_index].update(
|
||||
{"status": "recall", "final_reason": f"有新消息，取消发送首次回复: {final_reply_to_send}"}
|
||||
)
|
||||
return # 直接返回，重新规划
|
||||
|
||||
# 发送合适的回复
|
||||
self.generated_reply = final_reply_to_send
|
||||
# --- 在这里调用 _send_reply ---
|
||||
await self._send_reply() # <--- 调用恢复后的函数
|
||||
|
||||
# 更新状态: 标记上次成功是 direct_reply
|
||||
self.conversation_info.last_successful_reply_action = "direct_reply"
|
||||
action_successful = True # 标记动作成功
|
||||
|
||||
elif need_replan:
|
||||
# 打回动作决策
|
||||
logger.warning(
|
||||
f"[私聊][{self.private_name}]经过 {reply_attempt_count} 次尝试，首次回复决定打回动作决策。打回原因: {check_reason}"
|
||||
)
|
||||
conversation_info.done_action[action_index].update(
|
||||
{"status": "recall", "final_reason": f"首次回复尝试{reply_attempt_count}次后打回: {check_reason}"}
|
||||
)
|
||||
|
||||
else:
|
||||
# 首次回复失败
|
||||
logger.warning(
|
||||
f"[私聊][{self.private_name}]经过 {reply_attempt_count} 次尝试，未能生成合适的首次回复。最终原因: {check_reason}"
|
||||
)
|
||||
conversation_info.done_action[action_index].update(
|
||||
{"status": "recall", "final_reason": f"首次回复尝试{reply_attempt_count}次后失败: {check_reason}"}
|
||||
)
|
||||
# 重置状态: 首次回复失败，下次还是用初始 prompt
|
||||
self.conversation_info.last_successful_reply_action = None
|
||||
|
||||
# 执行 Wait 操作 (保持原有逻辑)
|
||||
logger.info(f"[私聊][{self.private_name}]由于无法生成合适首次回复，执行 'wait' 操作...")
|
||||
self.state = ConversationState.WAITING
|
||||
await self.waiter.wait(self.conversation_info)
|
||||
wait_action_record = {
|
||||
"action": "wait",
|
||||
"plan_reason": "因 direct_reply 多次尝试失败而执行的后备等待",
|
||||
"status": "done",
|
||||
"time": datetime.datetime.now().strftime("%H:%M:%S"),
|
||||
"final_reason": None,
|
||||
}
|
||||
conversation_info.done_action.append(wait_action_record)
|
||||
|
||||
elif action == "fetch_knowledge":
|
||||
self.state = ConversationState.FETCHING
|
||||
knowledge_query = reason
|
||||
try:
|
||||
# 检查 knowledge_fetcher 是否存在
|
||||
if not hasattr(self, "knowledge_fetcher"):
|
||||
logger.error(f"[私聊][{self.private_name}]KnowledgeFetcher 未初始化，无法获取知识。")
|
||||
raise AttributeError("KnowledgeFetcher not initialized")
|
||||
|
||||
knowledge, source = await self.knowledge_fetcher.fetch(knowledge_query, observation_info.chat_history)
|
||||
logger.info(f"[私聊][{self.private_name}]获取到知识: {knowledge[:100]}..., 来源: {source}")
|
||||
if knowledge:
|
||||
# 确保 knowledge_list 存在
|
||||
if not hasattr(conversation_info, "knowledge_list"):
|
||||
conversation_info.knowledge_list = []
|
||||
conversation_info.knowledge_list.append(
|
||||
{"query": knowledge_query, "knowledge": knowledge, "source": source}
|
||||
)
|
||||
action_successful = True
|
||||
except Exception as fetch_err:
|
||||
logger.error(f"[私聊][{self.private_name}]获取知识时出错: {str(fetch_err)}")
|
||||
conversation_info.done_action[action_index].update(
|
||||
{"status": "recall", "final_reason": f"获取知识失败: {str(fetch_err)}"}
|
||||
)
|
||||
self.conversation_info.last_successful_reply_action = None # 重置状态
|
||||
|
||||
elif action == "rethink_goal":
|
||||
self.state = ConversationState.RETHINKING
|
||||
try:
|
||||
# 检查 goal_analyzer 是否存在
|
||||
if not hasattr(self, "goal_analyzer"):
|
||||
logger.error(f"[私聊][{self.private_name}]GoalAnalyzer 未初始化，无法重新思考目标。")
|
||||
raise AttributeError("GoalAnalyzer not initialized")
|
||||
await self.goal_analyzer.analyze_goal(conversation_info, observation_info)
|
||||
action_successful = True
|
||||
except Exception as rethink_err:
|
||||
logger.error(f"[私聊][{self.private_name}]重新思考目标时出错: {rethink_err}")
|
||||
conversation_info.done_action[action_index].update(
|
||||
{"status": "recall", "final_reason": f"重新思考目标失败: {rethink_err}"}
|
||||
)
|
||||
self.conversation_info.last_successful_reply_action = None # 重置状态
|
||||
|
||||
elif action == "listening":
|
||||
self.state = ConversationState.LISTENING
|
||||
logger.info(f"[私聊][{self.private_name}]倾听对方发言...")
|
||||
try:
|
||||
# 检查 waiter 是否存在
|
||||
if not hasattr(self, "waiter"):
|
||||
logger.error(f"[私聊][{self.private_name}]Waiter 未初始化，无法倾听。")
|
||||
raise AttributeError("Waiter not initialized")
|
||||
await self.waiter.wait_listening(conversation_info)
|
||||
action_successful = True # Listening 完成就算成功
|
||||
except Exception as listen_err:
|
||||
logger.error(f"[私聊][{self.private_name}]倾听时出错: {listen_err}")
|
||||
conversation_info.done_action[action_index].update(
|
||||
{"status": "recall", "final_reason": f"倾听失败: {listen_err}"}
|
||||
)
|
||||
self.conversation_info.last_successful_reply_action = None # 重置状态
|
||||
|
||||
elif action == "say_goodbye":
|
||||
self.state = ConversationState.GENERATING # 也可以定义一个新的状态，如 ENDING
|
||||
logger.info(f"[私聊][{self.private_name}]执行行动: 生成并发送告别语...")
|
||||
try:
|
||||
# 1. 生成告别语 (使用 'say_goodbye' action_type)
|
||||
self.generated_reply = await self.reply_generator.generate(
|
||||
observation_info, conversation_info, action_type="say_goodbye"
|
||||
)
|
||||
logger.info(f"[私聊][{self.private_name}]生成的告别语: {self.generated_reply}")
|
||||
|
||||
# 2. 直接发送告别语 (不经过检查)
|
||||
if self.generated_reply: # 确保生成了内容
|
||||
await self._send_reply() # 调用发送方法
|
||||
# 发送成功后，标记动作成功
|
||||
action_successful = True
|
||||
logger.info(f"[私聊][{self.private_name}]告别语已发送。")
|
||||
else:
|
||||
logger.warning(f"[私聊][{self.private_name}]未能生成告别语内容，无法发送。")
|
||||
action_successful = False # 标记动作失败
|
||||
conversation_info.done_action[action_index].update(
|
||||
{"status": "recall", "final_reason": "未能生成告别语内容"}
|
||||
)
|
||||
|
||||
# 3. 无论是否发送成功，都准备结束对话
|
||||
self.should_continue = False
|
||||
logger.info(f"[私聊][{self.private_name}]发送告别语流程结束，即将停止对话实例。")
|
||||
|
||||
except Exception as goodbye_err:
|
||||
logger.error(f"[私聊][{self.private_name}]生成或发送告别语时出错: {goodbye_err}")
|
||||
logger.error(f"[私聊][{self.private_name}]{traceback.format_exc()}")
|
||||
# 即使出错，也结束对话
|
||||
self.should_continue = False
|
||||
action_successful = False # 标记动作失败
|
||||
conversation_info.done_action[action_index].update(
|
||||
{"status": "recall", "final_reason": f"生成或发送告别语时出错: {goodbye_err}"}
|
||||
)
|
||||
|
||||
elif action == "end_conversation":
|
||||
# 这个分支现在只会在 action_planner 最终决定不告别时被调用
|
||||
self.should_continue = False
|
||||
logger.info(f"[私聊][{self.private_name}]收到最终结束指令，停止对话...")
|
||||
action_successful = True # 标记这个指令本身是成功的
|
||||
|
||||
elif action == "block_and_ignore":
|
||||
logger.info(f"[私聊][{self.private_name}]不想再理你了...")
|
||||
ignore_duration_seconds = 10 * 60
|
||||
self.ignore_until_timestamp = time.time() + ignore_duration_seconds
|
||||
logger.info(
|
||||
f"[私聊][{self.private_name}]将忽略此对话直到: {datetime.datetime.fromtimestamp(self.ignore_until_timestamp)}"
|
||||
)
|
||||
self.state = ConversationState.IGNORED
|
||||
action_successful = True # 标记动作成功
|
||||
|
||||
else: # 对应 'wait' 动作
|
||||
self.state = ConversationState.WAITING
|
||||
logger.info(f"[私聊][{self.private_name}]等待更多信息...")
|
||||
try:
|
||||
# 检查 waiter 是否存在
|
||||
if not hasattr(self, "waiter"):
|
||||
logger.error(f"[私聊][{self.private_name}]Waiter 未初始化，无法等待。")
|
||||
raise AttributeError("Waiter not initialized")
|
||||
_timeout_occurred = await self.waiter.wait(self.conversation_info)
|
||||
action_successful = True # Wait 完成就算成功
|
||||
except Exception as wait_err:
|
||||
logger.error(f"[私聊][{self.private_name}]等待时出错: {wait_err}")
|
||||
conversation_info.done_action[action_index].update(
|
||||
{"status": "recall", "final_reason": f"等待失败: {wait_err}"}
|
||||
)
|
||||
self.conversation_info.last_successful_reply_action = None # 重置状态
|
||||
|
||||
# --- 更新 Action History 状态 ---
|
||||
# 只有当动作本身成功时，才更新状态为 done
|
||||
if action_successful:
|
||||
conversation_info.done_action[action_index].update(
|
||||
{
|
||||
"status": "done",
|
||||
"time": datetime.datetime.now().strftime("%H:%M:%S"),
|
||||
}
|
||||
)
|
||||
# 重置状态: 对于非回复类动作的成功，清除上次回复状态
|
||||
if action not in ["direct_reply", "send_new_message"]:
|
||||
self.conversation_info.last_successful_reply_action = None
|
||||
logger.debug(f"[私聊][{self.private_name}]动作 {action} 成功完成，重置 last_successful_reply_action")
|
||||
# 如果动作是 recall 状态，在各自的处理逻辑中已经更新了 done_action
|
||||
|
||||
async def _send_reply(self):
|
||||
"""发送回复"""
|
||||
if not self.generated_reply:
|
||||
logger.warning(f"[私聊][{self.private_name}]没有生成回复内容，无法发送。")
|
||||
return
|
||||
|
||||
try:
|
||||
_current_time = time.time()
|
||||
reply_content = self.generated_reply
|
||||
|
||||
# 发送消息 (确保 direct_sender 和 chat_stream 有效)
|
||||
if not hasattr(self, "direct_sender") or not self.direct_sender:
|
||||
logger.error(f"[私聊][{self.private_name}]DirectMessageSender 未初始化，无法发送回复。")
|
||||
return
|
||||
if not self.chat_stream:
|
||||
logger.error(f"[私聊][{self.private_name}]ChatStream 未初始化，无法发送回复。")
|
||||
return
|
||||
|
||||
await self.direct_sender.send_message(chat_stream=self.chat_stream, content=reply_content)
|
||||
|
||||
# 发送成功后，手动触发 observer 更新可能导致重复处理自己发送的消息
|
||||
# 更好的做法是依赖 observer 的自动轮询或数据库触发器（如果支持）
|
||||
# 暂时注释掉，观察是否影响 ObservationInfo 的更新
|
||||
# self.chat_observer.trigger_update()
|
||||
# if not await self.chat_observer.wait_for_update():
|
||||
# logger.warning(f"[私聊][{self.private_name}]等待 ChatObserver 更新完成超时")
|
||||
|
||||
self.state = ConversationState.ANALYZING # 更新状态
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"[私聊][{self.private_name}]发送消息或更新状态时失败: {str(e)}")
|
||||
logger.error(f"[私聊][{self.private_name}]{traceback.format_exc()}")
|
||||
self.state = ConversationState.ANALYZING
|
||||
|
||||
async def _send_timeout_message(self):
|
||||
"""发送超时结束消息"""
|
||||
try:
|
||||
messages = self.chat_observer.get_cached_messages(limit=1)
|
||||
if not messages:
|
||||
return
|
||||
|
||||
latest_message = self._convert_to_message(messages[0])
|
||||
await self.direct_sender.send_message(
|
||||
chat_stream=self.chat_stream, content="TODO:超时消息", reply_to_message=latest_message
|
||||
)
|
||||
except Exception as e:
|
||||
logger.error(f"[私聊][{self.private_name}]发送超时消息失败: {str(e)}")
|
||||
@@ -1,10 +0,0 @@
|
||||
from typing import Optional
|
||||
|
||||
|
||||
class ConversationInfo:
|
||||
def __init__(self):
|
||||
self.done_action = []
|
||||
self.goal_list = []
|
||||
self.knowledge_list = []
|
||||
self.memory_list = []
|
||||
self.last_successful_reply_action: Optional[str] = None
|
||||
@@ -1,131 +0,0 @@
|
||||
from abc import ABC, abstractmethod
|
||||
from typing import List, Dict, Any, Callable
|
||||
|
||||
from playhouse import shortcuts
|
||||
|
||||
from src.common.database.database_model import Messages # Peewee Messages 模型导入
|
||||
|
||||
model_to_dict: Callable[..., dict] = shortcuts.model_to_dict # Peewee 模型转换为字典的快捷函数
|
||||
|
||||
|
||||
class MessageStorage(ABC):
|
||||
"""消息存储接口"""
|
||||
|
||||
@abstractmethod
|
||||
async def get_messages_after(self, chat_id: str, message: Dict[str, Any]) -> List[Dict[str, Any]]:
|
||||
"""获取指定消息ID之后的所有消息
|
||||
|
||||
Args:
|
||||
chat_id: 聊天ID
|
||||
message: 消息
|
||||
|
||||
Returns:
|
||||
List[Dict[str, Any]]: 消息列表
|
||||
"""
|
||||
pass
|
||||
|
||||
@abstractmethod
|
||||
async def get_messages_before(self, chat_id: str, time_point: float, limit: int = 5) -> List[Dict[str, Any]]:
|
||||
"""获取指定时间点之前的消息
|
||||
|
||||
Args:
|
||||
chat_id: 聊天ID
|
||||
time_point: 时间戳
|
||||
limit: 最大消息数量
|
||||
|
||||
Returns:
|
||||
List[Dict[str, Any]]: 消息列表
|
||||
"""
|
||||
pass
|
||||
|
||||
@abstractmethod
|
||||
async def has_new_messages(self, chat_id: str, after_time: float) -> bool:
|
||||
"""检查是否有新消息
|
||||
|
||||
Args:
|
||||
chat_id: 聊天ID
|
||||
after_time: 时间戳
|
||||
|
||||
Returns:
|
||||
bool: 是否有新消息
|
||||
"""
|
||||
pass
|
||||
|
||||
|
||||
class PeeweeMessageStorage(MessageStorage):
|
||||
"""Peewee消息存储实现"""
|
||||
|
||||
async def get_messages_after(self, chat_id: str, message_time: float) -> List[Dict[str, Any]]:
|
||||
query = (
|
||||
Messages.select()
|
||||
.where((Messages.chat_id == chat_id) & (Messages.time > message_time))
|
||||
.order_by(Messages.time.asc())
|
||||
)
|
||||
|
||||
# print(f"storage_check_message: {message_time}")
|
||||
messages_models = list(query)
|
||||
return [model_to_dict(msg) for msg in messages_models]
|
||||
|
||||
async def get_messages_before(self, chat_id: str, time_point: float, limit: int = 5) -> List[Dict[str, Any]]:
|
||||
query = (
|
||||
Messages.select()
|
||||
.where((Messages.chat_id == chat_id) & (Messages.time < time_point))
|
||||
.order_by(Messages.time.desc())
|
||||
.limit(limit)
|
||||
)
|
||||
|
||||
messages_models = list(query)
|
||||
# 将消息按时间正序排列
|
||||
messages_models.reverse()
|
||||
return [model_to_dict(msg) for msg in messages_models]
|
||||
|
||||
async def has_new_messages(self, chat_id: str, after_time: float) -> bool:
|
||||
return Messages.select().where((Messages.chat_id == chat_id) & (Messages.time > after_time)).exists()
|
||||
|
||||
|
||||
# # 创建一个内存消息存储实现，用于测试
|
||||
# class InMemoryMessageStorage(MessageStorage):
|
||||
# """内存消息存储实现，主要用于测试"""
|
||||
|
||||
# def __init__(self):
|
||||
# self.messages: Dict[str, List[Dict[str, Any]]] = {}
|
||||
|
||||
# async def get_messages_after(self, chat_id: str, message_id: Optional[str] = None) -> List[Dict[str, Any]]:
|
||||
# if chat_id not in self.messages:
|
||||
# return []
|
||||
|
||||
# messages = self.messages[chat_id]
|
||||
# if not message_id:
|
||||
# return messages
|
||||
|
||||
# # 找到message_id的索引
|
||||
# try:
|
||||
# index = next(i for i, m in enumerate(messages) if m["message_id"] == message_id)
|
||||
# return messages[index + 1:]
|
||||
# except StopIteration:
|
||||
# return []
|
||||
|
||||
# async def get_messages_before(self, chat_id: str, time_point: float, limit: int = 5) -> List[Dict[str, Any]]:
|
||||
# if chat_id not in self.messages:
|
||||
# return []
|
||||
|
||||
# messages = [
|
||||
# m for m in self.messages[chat_id]
|
||||
# if m["time"] < time_point
|
||||
# ]
|
||||
|
||||
# return messages[-limit:]
|
||||
|
||||
# async def has_new_messages(self, chat_id: str, after_time: float) -> bool:
|
||||
# if chat_id not in self.messages:
|
||||
# return False
|
||||
|
||||
# return any(m["time"] > after_time for m in self.messages[chat_id])
|
||||
|
||||
# # 测试辅助方法
|
||||
# def add_message(self, chat_id: str, message: Dict[str, Any]):
|
||||
# """添加测试消息"""
|
||||
# if chat_id not in self.messages:
|
||||
# self.messages[chat_id] = []
|
||||
# self.messages[chat_id].append(message)
|
||||
# self.messages[chat_id].sort(key=lambda m: m["time"])
|
||||
@@ -1,389 +0,0 @@
|
||||
from typing import List, Optional, Dict, Any, Set
|
||||
from maim_message import UserInfo
|
||||
import time
|
||||
from src.common.logger import get_logger
|
||||
from src.experimental.PFC.chat_observer import ChatObserver
|
||||
from src.experimental.PFC.chat_states import NotificationHandler, NotificationType, Notification
|
||||
from src.chat.utils.chat_message_builder import build_readable_messages
|
||||
import traceback # 导入 traceback 用于调试
|
||||
|
||||
logger = get_logger("observation_info")
|
||||
|
||||
|
||||
class ObservationInfoHandler(NotificationHandler):
|
||||
"""ObservationInfo的通知处理器"""
|
||||
|
||||
def __init__(self, observation_info: "ObservationInfo", private_name: str):
|
||||
"""初始化处理器
|
||||
|
||||
Args:
|
||||
observation_info: 要更新的ObservationInfo实例
|
||||
private_name: 私聊对象的名称，用于日志记录
|
||||
"""
|
||||
self.observation_info = observation_info
|
||||
# 将 private_name 存储在 handler 实例中
|
||||
self.private_name = private_name
|
||||
|
||||
async def handle_notification(self, notification: Notification): # 添加类型提示
|
||||
# 获取通知类型和数据
|
||||
notification_type = notification.type
|
||||
data = notification.data
|
||||
|
||||
try: # 添加错误处理块
|
||||
if notification_type == NotificationType.NEW_MESSAGE:
|
||||
# 处理新消息通知
|
||||
# logger.debug(f"[私聊][{self.private_name}]收到新消息通知data: {data}") # 可以在需要时取消注释
|
||||
message_id = data.get("message_id")
|
||||
processed_plain_text = data.get("processed_plain_text")
|
||||
detailed_plain_text = data.get("detailed_plain_text")
|
||||
user_info_dict = data.get("user_info") # 先获取字典
|
||||
time_value = data.get("time")
|
||||
|
||||
# 确保 user_info 是字典类型再创建 UserInfo 对象
|
||||
user_info = None
|
||||
if isinstance(user_info_dict, dict):
|
||||
try:
|
||||
user_info = UserInfo.from_dict(user_info_dict)
|
||||
except Exception as e:
|
||||
logger.error(
|
||||
f"[私聊][{self.private_name}]从字典创建 UserInfo 时出错: {e}, 字典内容: {user_info_dict}"
|
||||
)
|
||||
# 可以选择在这里返回或记录错误，避免后续代码出错
|
||||
return
|
||||
elif user_info_dict is not None:
|
||||
logger.warning(
|
||||
f"[私聊][{self.private_name}]收到的 user_info 不是预期的字典类型: {type(user_info_dict)}"
|
||||
)
|
||||
# 根据需要处理非字典情况，这里暂时返回
|
||||
return
|
||||
|
||||
message = {
|
||||
"message_id": message_id,
|
||||
"processed_plain_text": processed_plain_text,
|
||||
"detailed_plain_text": detailed_plain_text,
|
||||
"user_info": user_info_dict, # 存储原始字典或 UserInfo 对象，取决于你的 update_from_message 如何处理
|
||||
"time": time_value,
|
||||
}
|
||||
# 传递 UserInfo 对象（如果成功创建）或原始字典
|
||||
await self.observation_info.update_from_message(message, user_info) # 修改：传递 user_info 对象
|
||||
|
||||
elif notification_type == NotificationType.COLD_CHAT:
|
||||
# 处理冷场通知
|
||||
is_cold = data.get("is_cold", False)
|
||||
await self.observation_info.update_cold_chat_status(is_cold, time.time()) # 修改：改为 await 调用
|
||||
|
||||
elif notification_type == NotificationType.ACTIVE_CHAT:
|
||||
# 处理活跃通知 (通常由 COLD_CHAT 的反向状态处理)
|
||||
is_active = data.get("is_active", False)
|
||||
self.observation_info.is_cold = not is_active
|
||||
|
||||
elif notification_type == NotificationType.BOT_SPEAKING:
|
||||
# 处理机器人说话通知 (按需实现)
|
||||
self.observation_info.is_typing = False
|
||||
self.observation_info.last_bot_speak_time = time.time()
|
||||
|
||||
elif notification_type == NotificationType.USER_SPEAKING:
|
||||
# 处理用户说话通知
|
||||
self.observation_info.is_typing = False
|
||||
self.observation_info.last_user_speak_time = time.time()
|
||||
|
||||
elif notification_type == NotificationType.MESSAGE_DELETED:
|
||||
# 处理消息删除通知
|
||||
message_id = data.get("message_id")
|
||||
# 从 unprocessed_messages 中移除被删除的消息
|
||||
original_count = len(self.observation_info.unprocessed_messages)
|
||||
self.observation_info.unprocessed_messages = [
|
||||
msg for msg in self.observation_info.unprocessed_messages if msg.get("message_id") != message_id
|
||||
]
|
||||
if len(self.observation_info.unprocessed_messages) < original_count:
|
||||
logger.info(f"[私聊][{self.private_name}]移除了未处理的消息 (ID: {message_id})")
|
||||
|
||||
elif notification_type == NotificationType.USER_JOINED:
|
||||
# 处理用户加入通知 (如果适用私聊场景)
|
||||
user_id = data.get("user_id")
|
||||
if user_id:
|
||||
self.observation_info.active_users.add(str(user_id)) # 确保是字符串
|
||||
|
||||
elif notification_type == NotificationType.USER_LEFT:
|
||||
# 处理用户离开通知 (如果适用私聊场景)
|
||||
user_id = data.get("user_id")
|
||||
if user_id:
|
||||
self.observation_info.active_users.discard(str(user_id)) # 确保是字符串
|
||||
|
||||
elif notification_type == NotificationType.ERROR:
|
||||
# 处理错误通知
|
||||
error_msg = data.get("error", "未提供错误信息")
|
||||
logger.error(f"[私聊][{self.private_name}]收到错误通知: {error_msg}")
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"[私聊][{self.private_name}]处理通知时发生错误: {e}")
|
||||
logger.error(traceback.format_exc()) # 打印详细堆栈信息
|
||||
|
||||
|
||||
# @dataclass <-- 这个，不需要了（递黄瓜）
|
||||
class ObservationInfo:
|
||||
"""决策信息类，用于收集和管理来自chat_observer的通知信息 (手动实现 __init__)"""
|
||||
|
||||
# 类型提示保留，可用于文档和静态分析
|
||||
private_name: str
|
||||
chat_history: List[Dict[str, Any]]
|
||||
chat_history_str: str
|
||||
unprocessed_messages: List[Dict[str, Any]]
|
||||
active_users: Set[str]
|
||||
last_bot_speak_time: Optional[float]
|
||||
last_user_speak_time: Optional[float]
|
||||
last_message_time: Optional[float]
|
||||
last_message_id: Optional[str]
|
||||
last_message_content: str
|
||||
last_message_sender: Optional[str]
|
||||
bot_id: Optional[str]
|
||||
chat_history_count: int
|
||||
new_messages_count: int
|
||||
cold_chat_start_time: Optional[float]
|
||||
cold_chat_duration: float
|
||||
is_typing: bool
|
||||
is_cold_chat: bool
|
||||
changed: bool
|
||||
chat_observer: Optional[ChatObserver]
|
||||
handler: Optional[ObservationInfoHandler]
|
||||
|
||||
def __init__(self, private_name: str):
|
||||
"""
|
||||
手动初始化 ObservationInfo 的所有实例变量。
|
||||
"""
|
||||
|
||||
# 接收的参数
|
||||
self.private_name: str = private_name
|
||||
|
||||
# data_list
|
||||
self.chat_history: List[Dict[str, Any]] = []
|
||||
self.chat_history_str: str = ""
|
||||
self.unprocessed_messages: List[Dict[str, Any]] = []
|
||||
self.active_users: Set[str] = set()
|
||||
|
||||
# data
|
||||
self.last_bot_speak_time: Optional[float] = None
|
||||
self.last_user_speak_time: Optional[float] = None
|
||||
self.last_message_time: Optional[float] = None
|
||||
self.last_message_id: Optional[str] = None
|
||||
self.last_message_content: str = ""
|
||||
self.last_message_sender: Optional[str] = None
|
||||
self.bot_id: Optional[str] = None
|
||||
self.chat_history_count: int = 0
|
||||
self.new_messages_count: int = 0
|
||||
self.cold_chat_start_time: Optional[float] = None
|
||||
self.cold_chat_duration: float = 0.0
|
||||
|
||||
# state
|
||||
self.is_typing: bool = False
|
||||
self.is_cold_chat: bool = False
|
||||
self.changed: bool = False
|
||||
|
||||
# 关联对象
|
||||
self.chat_observer: Optional[ChatObserver] = None
|
||||
|
||||
self.handler: ObservationInfoHandler = ObservationInfoHandler(self, self.private_name)
|
||||
|
||||
def bind_to_chat_observer(self, chat_observer: ChatObserver):
|
||||
"""绑定到指定的chat_observer
|
||||
|
||||
Args:
|
||||
chat_observer: 要绑定的 ChatObserver 实例
|
||||
"""
|
||||
if self.chat_observer:
|
||||
logger.warning(f"[私聊][{self.private_name}]尝试重复绑定 ChatObserver")
|
||||
return
|
||||
|
||||
self.chat_observer = chat_observer
|
||||
try:
|
||||
if not self.handler: # 确保 handler 已经被创建
|
||||
logger.error(f"[私聊][{self.private_name}] 尝试绑定时 handler 未初始化！")
|
||||
self.chat_observer = None # 重置，防止后续错误
|
||||
return
|
||||
|
||||
# 注册关心的通知类型
|
||||
self.chat_observer.notification_manager.register_handler(
|
||||
target="observation_info", notification_type=NotificationType.NEW_MESSAGE, handler=self.handler
|
||||
)
|
||||
self.chat_observer.notification_manager.register_handler(
|
||||
target="observation_info", notification_type=NotificationType.COLD_CHAT, handler=self.handler
|
||||
)
|
||||
# 可以根据需要注册更多通知类型
|
||||
# self.chat_observer.notification_manager.register_handler(
|
||||
# target="observation_info", notification_type=NotificationType.MESSAGE_DELETED, handler=self.handler
|
||||
# )
|
||||
logger.info(f"[私聊][{self.private_name}]成功绑定到 ChatObserver")
|
||||
except Exception as e:
|
||||
logger.error(f"[私聊][{self.private_name}]绑定到 ChatObserver 时出错: {e}")
|
||||
self.chat_observer = None # 绑定失败，重置
|
||||
|
||||
def unbind_from_chat_observer(self):
|
||||
"""解除与chat_observer的绑定"""
|
||||
if (
|
||||
self.chat_observer and hasattr(self.chat_observer, "notification_manager") and self.handler
|
||||
): # 增加 handler 检查
|
||||
try:
|
||||
self.chat_observer.notification_manager.unregister_handler(
|
||||
target="observation_info", notification_type=NotificationType.NEW_MESSAGE, handler=self.handler
|
||||
)
|
||||
self.chat_observer.notification_manager.unregister_handler(
|
||||
target="observation_info", notification_type=NotificationType.COLD_CHAT, handler=self.handler
|
||||
)
|
||||
# 如果注册了其他类型，也要在这里注销
|
||||
# self.chat_observer.notification_manager.unregister_handler(
|
||||
# target="observation_info", notification_type=NotificationType.MESSAGE_DELETED, handler=self.handler
|
||||
# )
|
||||
logger.info(f"[私聊][{self.private_name}]成功从 ChatObserver 解绑")
|
||||
except Exception as e:
|
||||
logger.error(f"[私聊][{self.private_name}]从 ChatObserver 解绑时出错: {e}")
|
||||
finally: # 确保 chat_observer 被重置
|
||||
self.chat_observer = None
|
||||
else:
|
||||
logger.warning(f"[私聊][{self.private_name}]尝试解绑时 ChatObserver 不存在、无效或 handler 未设置")
|
||||
|
||||
# 修改：update_from_message 接收 UserInfo 对象
|
||||
async def update_from_message(self, message: Dict[str, Any], user_info: Optional[UserInfo]):
|
||||
"""从消息更新信息
|
||||
|
||||
Args:
|
||||
message: 消息数据字典
|
||||
user_info: 解析后的 UserInfo 对象 (可能为 None)
|
||||
"""
|
||||
message_time = message.get("time")
|
||||
message_id = message.get("message_id")
|
||||
processed_text = message.get("processed_plain_text", "")
|
||||
|
||||
# 只有在新消息到达时才更新 last_message 相关信息
|
||||
if message_time and message_time > (self.last_message_time or 0):
|
||||
self.last_message_time = message_time
|
||||
self.last_message_id = message_id
|
||||
self.last_message_content = processed_text
|
||||
# 重置冷场计时器
|
||||
self.is_cold_chat = False
|
||||
self.cold_chat_start_time = None
|
||||
self.cold_chat_duration = 0.0
|
||||
|
||||
if user_info:
|
||||
sender_id = str(user_info.user_id) # 确保是字符串
|
||||
self.last_message_sender = sender_id
|
||||
# 更新发言时间
|
||||
if sender_id == self.bot_id:
|
||||
self.last_bot_speak_time = message_time
|
||||
else:
|
||||
self.last_user_speak_time = message_time
|
||||
self.active_users.add(sender_id) # 用户发言则认为其活跃
|
||||
else:
|
||||
logger.warning(
|
||||
f"[私聊][{self.private_name}]处理消息更新时缺少有效的 UserInfo 对象, message_id: {message_id}"
|
||||
)
|
||||
self.last_message_sender = None # 发送者未知
|
||||
|
||||
# 将原始消息字典添加到未处理列表
|
||||
self.unprocessed_messages.append(message)
|
||||
self.new_messages_count = len(self.unprocessed_messages) # 直接用列表长度
|
||||
|
||||
# logger.debug(f"[私聊][{self.private_name}]消息更新: last_time={self.last_message_time}, new_count={self.new_messages_count}")
|
||||
self.update_changed() # 标记状态已改变
|
||||
else:
|
||||
# 如果消息时间戳不是最新的，可能不需要处理，或者记录一个警告
|
||||
pass
|
||||
# logger.warning(f"[私聊][{self.private_name}]收到过时或无效时间戳的消息: ID={message_id}, time={message_time}")
|
||||
|
||||
def update_changed(self):
|
||||
"""标记状态已改变，并重置标记"""
|
||||
# logger.debug(f"[私聊][{self.private_name}]状态标记为已改变 (changed=True)")
|
||||
self.changed = True
|
||||
|
||||
async def update_cold_chat_status(self, is_cold: bool, current_time: float):
|
||||
"""更新冷场状态
|
||||
|
||||
Args:
|
||||
is_cold: 是否处于冷场状态
|
||||
current_time: 当前时间戳
|
||||
"""
|
||||
if is_cold != self.is_cold_chat: # 仅在状态变化时更新
|
||||
self.is_cold_chat = is_cold
|
||||
if is_cold:
|
||||
# 进入冷场状态
|
||||
self.cold_chat_start_time = (
|
||||
self.last_message_time or current_time
|
||||
) # 从最后消息时间开始算，或从当前时间开始
|
||||
logger.info(f"[私聊][{self.private_name}]进入冷场状态，开始时间: {self.cold_chat_start_time}")
|
||||
else:
|
||||
# 结束冷场状态
|
||||
if self.cold_chat_start_time:
|
||||
self.cold_chat_duration = current_time - self.cold_chat_start_time
|
||||
logger.info(f"[私聊][{self.private_name}]结束冷场状态，持续时间: {self.cold_chat_duration:.2f} 秒")
|
||||
self.cold_chat_start_time = None # 重置开始时间
|
||||
self.update_changed() # 状态变化，标记改变
|
||||
|
||||
# 即使状态没变，如果是冷场状态，也更新持续时间
|
||||
if self.is_cold_chat and self.cold_chat_start_time:
|
||||
self.cold_chat_duration = current_time - self.cold_chat_start_time
|
||||
|
||||
def get_active_duration(self) -> float:
|
||||
"""获取当前活跃时长 (距离最后一条消息的时间)
|
||||
|
||||
Returns:
|
||||
float: 最后一条消息到现在的时长（秒）
|
||||
"""
|
||||
if not self.last_message_time:
|
||||
return 0.0
|
||||
return time.time() - self.last_message_time
|
||||
|
||||
def get_user_response_time(self) -> Optional[float]:
|
||||
"""获取用户最后响应时间 (距离用户最后发言的时间)
|
||||
|
||||
Returns:
|
||||
Optional[float]: 用户最后发言到现在的时长（秒），如果没有用户发言则返回None
|
||||
"""
|
||||
if not self.last_user_speak_time:
|
||||
return None
|
||||
return time.time() - self.last_user_speak_time
|
||||
|
||||
def get_bot_response_time(self) -> Optional[float]:
|
||||
"""获取机器人最后响应时间 (距离机器人最后发言的时间)
|
||||
|
||||
Returns:
|
||||
Optional[float]: 机器人最后发言到现在的时长（秒），如果没有机器人发言则返回None
|
||||
"""
|
||||
if not self.last_bot_speak_time:
|
||||
return None
|
||||
return time.time() - self.last_bot_speak_time
|
||||
|
||||
async def clear_unprocessed_messages(self):
|
||||
"""将未处理消息移入历史记录，并更新相关状态"""
|
||||
if not self.unprocessed_messages:
|
||||
return # 没有未处理消息，直接返回
|
||||
|
||||
# logger.debug(f"[私聊][{self.private_name}]处理 {len(self.unprocessed_messages)} 条未处理消息...")
|
||||
# 将未处理消息添加到历史记录中 (确保历史记录有长度限制，避免无限增长)
|
||||
max_history_len = 100 # 示例：最多保留100条历史记录
|
||||
self.chat_history.extend(self.unprocessed_messages)
|
||||
if len(self.chat_history) > max_history_len:
|
||||
self.chat_history = self.chat_history[-max_history_len:]
|
||||
|
||||
# 更新历史记录字符串 (只使用最近一部分生成，例如20条)
|
||||
history_slice_for_str = self.chat_history[-20:]
|
||||
try:
|
||||
self.chat_history_str = build_readable_messages(
|
||||
history_slice_for_str,
|
||||
replace_bot_name=True,
|
||||
merge_messages=False,
|
||||
timestamp_mode="relative",
|
||||
read_mark=0.0, # read_mark 可能需要根据逻辑调整
|
||||
)
|
||||
except Exception as e:
|
||||
logger.error(f"[私聊][{self.private_name}]构建聊天记录字符串时出错: {e}")
|
||||
self.chat_history_str = "[构建聊天记录出错]" # 提供错误提示
|
||||
|
||||
# 清空未处理消息列表和计数
|
||||
# cleared_count = len(self.unprocessed_messages)
|
||||
self.unprocessed_messages.clear()
|
||||
self.new_messages_count = 0
|
||||
# self.has_unread_messages = False # 这个状态可以通过 new_messages_count 判断
|
||||
|
||||
self.chat_history_count = len(self.chat_history) # 更新历史记录总数
|
||||
# logger.debug(f"[私聊][{self.private_name}]已处理 {cleared_count} 条消息，当前历史记录 {self.chat_history_count} 条。")
|
||||
|
||||
self.update_changed() # 状态改变
|
||||
@@ -1,346 +0,0 @@
|
||||
from typing import List, Tuple, TYPE_CHECKING
|
||||
from src.common.logger import get_logger
|
||||
from src.llm_models.utils_model import LLMRequest
|
||||
from src.config.config import global_config
|
||||
from src.experimental.PFC.chat_observer import ChatObserver
|
||||
from src.experimental.PFC.pfc_utils import get_items_from_json
|
||||
from src.individuality.individuality import get_individuality
|
||||
from src.experimental.PFC.conversation_info import ConversationInfo
|
||||
from src.experimental.PFC.observation_info import ObservationInfo
|
||||
from src.chat.utils.chat_message_builder import build_readable_messages
|
||||
from rich.traceback import install
|
||||
|
||||
install(extra_lines=3)
|
||||
|
||||
if TYPE_CHECKING:
|
||||
pass
|
||||
|
||||
logger = get_logger("pfc")
|
||||
|
||||
|
||||
def _calculate_similarity(goal1: str, goal2: str) -> float:
|
||||
"""简单计算两个目标之间的相似度
|
||||
|
||||
这里使用一个简单的实现，实际可以使用更复杂的文本相似度算法
|
||||
|
||||
Args:
|
||||
goal1: 第一个目标
|
||||
goal2: 第二个目标
|
||||
|
||||
Returns:
|
||||
float: 相似度得分 (0-1)
|
||||
"""
|
||||
# 简单实现：检查重叠字数比例
|
||||
words1 = set(goal1)
|
||||
words2 = set(goal2)
|
||||
overlap = len(words1.intersection(words2))
|
||||
total = len(words1.union(words2))
|
||||
return overlap / total if total > 0 else 0
|
||||
|
||||
|
||||
class GoalAnalyzer:
|
||||
"""对话目标分析器"""
|
||||
|
||||
def __init__(self, stream_id: str, private_name: str):
|
||||
# TODO: API-Adapter修改标记
|
||||
self.llm = LLMRequest(
|
||||
model=global_config.model.utils, temperature=0.7, max_tokens=1000, request_type="conversation_goal"
|
||||
)
|
||||
|
||||
self.personality_info = get_individuality().get_prompt(x_person=2, level=3)
|
||||
self.name = global_config.bot.nickname
|
||||
self.nick_name = global_config.bot.alias_names
|
||||
self.private_name = private_name
|
||||
self.chat_observer = ChatObserver.get_instance(stream_id, private_name)
|
||||
|
||||
# 多目标存储结构
|
||||
self.goals = [] # 存储多个目标
|
||||
self.max_goals = 3 # 同时保持的最大目标数量
|
||||
self.current_goal_and_reason = None
|
||||
|
||||
async def analyze_goal(self, conversation_info: ConversationInfo, observation_info: ObservationInfo):
|
||||
"""分析对话历史并设定目标
|
||||
|
||||
Args:
|
||||
conversation_info: 对话信息
|
||||
observation_info: 观察信息
|
||||
|
||||
Returns:
|
||||
Tuple[str, str, str]: (目标, 方法, 原因)
|
||||
"""
|
||||
# 构建对话目标
|
||||
goals_str = ""
|
||||
if conversation_info.goal_list:
|
||||
for goal_reason in conversation_info.goal_list:
|
||||
if isinstance(goal_reason, dict):
|
||||
goal = goal_reason.get("goal", "目标内容缺失")
|
||||
reasoning = goal_reason.get("reasoning", "没有明确原因")
|
||||
else:
|
||||
goal = str(goal_reason)
|
||||
reasoning = "没有明确原因"
|
||||
|
||||
goal_str = f"目标：{goal}，产生该对话目标的原因：{reasoning}\n"
|
||||
goals_str += goal_str
|
||||
else:
|
||||
goal = "目前没有明确对话目标"
|
||||
reasoning = "目前没有明确对话目标，最好思考一个对话目标"
|
||||
goals_str = f"目标：{goal}，产生该对话目标的原因：{reasoning}\n"
|
||||
|
||||
# 获取聊天历史记录
|
||||
chat_history_text = observation_info.chat_history_str
|
||||
|
||||
if observation_info.new_messages_count > 0:
|
||||
new_messages_list = observation_info.unprocessed_messages
|
||||
new_messages_str = build_readable_messages(
|
||||
new_messages_list,
|
||||
replace_bot_name=True,
|
||||
merge_messages=False,
|
||||
timestamp_mode="relative",
|
||||
read_mark=0.0,
|
||||
)
|
||||
chat_history_text += f"\n--- 以下是 {observation_info.new_messages_count} 条新消息 ---\n{new_messages_str}"
|
||||
|
||||
# await observation_info.clear_unprocessed_messages()
|
||||
|
||||
persona_text = f"你的名字是{self.name}，{self.personality_info}。"
|
||||
# 构建action历史文本
|
||||
action_history_list = conversation_info.done_action
|
||||
action_history_text = "你之前做的事情是："
|
||||
for action in action_history_list:
|
||||
action_history_text += f"{action}\n"
|
||||
|
||||
prompt = f"""{persona_text}。现在你在参与一场QQ聊天，请分析以下聊天记录，并根据你的性格特征确定多个明确的对话目标。
|
||||
这些目标应该反映出对话的不同方面和意图。
|
||||
|
||||
{action_history_text}
|
||||
当前对话目标：
|
||||
{goals_str}
|
||||
|
||||
聊天记录：
|
||||
{chat_history_text}
|
||||
|
||||
请分析当前对话并确定最适合的对话目标。你可以：
|
||||
1. 保持现有目标不变
|
||||
2. 修改现有目标
|
||||
3. 添加新目标
|
||||
4. 删除不再相关的目标
|
||||
5. 如果你想结束对话，请设置一个目标，目标goal为"结束对话"，原因reasoning为你希望结束对话
|
||||
|
||||
请以JSON数组格式输出当前的所有对话目标，每个目标包含以下字段：
|
||||
1. goal: 对话目标（简短的一句话）
|
||||
2. reasoning: 对话原因，为什么设定这个目标（简要解释）
|
||||
|
||||
输出格式示例：
|
||||
[
|
||||
{{
|
||||
"goal": "回答用户关于Python编程的具体问题",
|
||||
"reasoning": "用户提出了关于Python的技术问题，需要专业且准确的解答"
|
||||
}},
|
||||
{{
|
||||
"goal": "回答用户关于python安装的具体问题",
|
||||
"reasoning": "用户提出了关于Python的技术问题，需要专业且准确的解答"
|
||||
}}
|
||||
]"""
|
||||
|
||||
logger.debug(f"[私聊][{self.private_name}]发送到LLM的提示词: {prompt}")
|
||||
try:
|
||||
content, _ = await self.llm.generate_response_async(prompt)
|
||||
logger.debug(f"[私聊][{self.private_name}]LLM原始返回内容: {content}")
|
||||
except Exception as e:
|
||||
logger.error(f"[私聊][{self.private_name}]分析对话目标时出错: {str(e)}")
|
||||
content = ""
|
||||
|
||||
# 使用改进后的get_items_from_json函数处理JSON数组
|
||||
success, result = get_items_from_json(
|
||||
content,
|
||||
self.private_name,
|
||||
"goal",
|
||||
"reasoning",
|
||||
required_types={"goal": str, "reasoning": str},
|
||||
allow_array=True,
|
||||
)
|
||||
|
||||
if success:
|
||||
# 判断结果是单个字典还是字典列表
|
||||
if isinstance(result, list):
|
||||
# 清空现有目标列表并添加新目标
|
||||
conversation_info.goal_list = []
|
||||
for item in result:
|
||||
conversation_info.goal_list.append(item)
|
||||
|
||||
# 返回第一个目标作为当前主要目标（如果有）
|
||||
if result:
|
||||
first_goal = result[0]
|
||||
return first_goal.get("goal", ""), "", first_goal.get("reasoning", "")
|
||||
else:
|
||||
# 单个目标的情况
|
||||
conversation_info.goal_list.append(result)
|
||||
return goal, "", reasoning
|
||||
|
||||
# 如果解析失败，返回默认值
|
||||
return "", "", ""
|
||||
|
||||
async def _update_goals(self, new_goal: str, method: str, reasoning: str):
|
||||
"""更新目标列表
|
||||
|
||||
Args:
|
||||
new_goal: 新的目标
|
||||
method: 实现目标的方法
|
||||
reasoning: 目标的原因
|
||||
"""
|
||||
# 检查新目标是否与现有目标相似
|
||||
for i, (existing_goal, _, _) in enumerate(self.goals):
|
||||
if _calculate_similarity(new_goal, existing_goal) > 0.7: # 相似度阈值
|
||||
# 更新现有目标
|
||||
self.goals[i] = (new_goal, method, reasoning)
|
||||
# 将此目标移到列表前面（最主要的位置）
|
||||
self.goals.insert(0, self.goals.pop(i))
|
||||
return
|
||||
|
||||
# 添加新目标到列表前面
|
||||
self.goals.insert(0, (new_goal, method, reasoning))
|
||||
|
||||
# 限制目标数量
|
||||
if len(self.goals) > self.max_goals:
|
||||
self.goals.pop() # 移除最老的目标
|
||||
|
||||
async def get_all_goals(self) -> List[Tuple[str, str, str]]:
|
||||
"""获取所有当前目标
|
||||
|
||||
Returns:
|
||||
List[Tuple[str, str, str]]: 目标列表，每项为(目标, 方法, 原因)
|
||||
"""
|
||||
return self.goals.copy()
|
||||
|
||||
async def get_alternative_goals(self) -> List[Tuple[str, str, str]]:
|
||||
"""获取除了当前主要目标外的其他备选目标
|
||||
|
||||
Returns:
|
||||
List[Tuple[str, str, str]]: 备选目标列表
|
||||
"""
|
||||
if len(self.goals) <= 1:
|
||||
return []
|
||||
return self.goals[1:].copy()
|
||||
|
||||
async def analyze_conversation(self, goal, reasoning):
|
||||
messages = self.chat_observer.get_cached_messages()
|
||||
chat_history_text = build_readable_messages(
|
||||
messages,
|
||||
replace_bot_name=True,
|
||||
merge_messages=False,
|
||||
timestamp_mode="relative",
|
||||
read_mark=0.0,
|
||||
)
|
||||
|
||||
persona_text = f"你的名字是{self.name}，{self.personality_info}。"
|
||||
# ===> Persona 文本构建结束 <===
|
||||
|
||||
# --- 修改 Prompt 字符串，使用 persona_text ---
|
||||
prompt = f"""{persona_text}。现在你在参与一场QQ聊天，
|
||||
当前对话目标：{goal}
|
||||
产生该对话目标的原因：{reasoning}
|
||||
|
||||
请分析以下聊天记录，并根据你的性格特征评估该目标是否已经达到，或者你是否希望停止该次对话。
|
||||
聊天记录：
|
||||
{chat_history_text}
|
||||
请以JSON格式输出，包含以下字段：
|
||||
1. goal_achieved: 对话目标是否已经达到（true/false）
|
||||
2. stop_conversation: 是否希望停止该次对话（true/false）
|
||||
3. reason: 为什么希望停止该次对话（简要解释）
|
||||
|
||||
输出格式示例：
|
||||
{{
|
||||
"goal_achieved": true,
|
||||
"stop_conversation": false,
|
||||
"reason": "虽然目标已达成，但对话仍然有继续的价值"
|
||||
}}"""
|
||||
|
||||
try:
|
||||
content, _ = await self.llm.generate_response_async(prompt)
|
||||
logger.debug(f"[私聊][{self.private_name}]LLM原始返回内容: {content}")
|
||||
|
||||
# 尝试解析JSON
|
||||
success, result = get_items_from_json(
|
||||
content,
|
||||
self.private_name,
|
||||
"goal_achieved",
|
||||
"stop_conversation",
|
||||
"reason",
|
||||
required_types={"goal_achieved": bool, "stop_conversation": bool, "reason": str},
|
||||
)
|
||||
|
||||
if not success:
|
||||
logger.error(f"[私聊][{self.private_name}]无法解析对话分析结果JSON")
|
||||
return False, False, "解析结果失败"
|
||||
|
||||
goal_achieved = result["goal_achieved"]
|
||||
stop_conversation = result["stop_conversation"]
|
||||
reason = result["reason"]
|
||||
|
||||
return goal_achieved, stop_conversation, reason
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"[私聊][{self.private_name}]分析对话状态时出错: {str(e)}")
|
||||
return False, False, f"分析出错: {str(e)}"
|
||||
|
||||
|
||||
# 先注释掉，万一以后出问题了还能开回来（（（
|
||||
# class DirectMessageSender:
|
||||
# """直接发送消息到平台的发送器"""
|
||||
|
||||
# def __init__(self, private_name: str):
|
||||
# self.logger = get_logger("direct_sender")
|
||||
# self.storage = MessageStorage()
|
||||
# self.private_name = private_name
|
||||
|
||||
# async def send_via_ws(self, message: MessageSending) -> None:
|
||||
# try:
|
||||
# await get_global_api().send_message(message)
|
||||
# except Exception as e:
|
||||
# raise ValueError(f"未找到平台：{message.message_info.platform} 的url配置，请检查配置文件") from e
|
||||
|
||||
# async def send_message(
|
||||
# self,
|
||||
# chat_stream: ChatStream,
|
||||
# content: str,
|
||||
# reply_to_message: Optional[Message] = None,
|
||||
# ) -> None:
|
||||
# """直接发送消息到平台
|
||||
|
||||
# Args:
|
||||
# chat_stream: 聊天流
|
||||
# content: 消息内容
|
||||
# reply_to_message: 要回复的消息
|
||||
# """
|
||||
# # 构建消息对象
|
||||
# message_segment = Seg(type="text", data=content)
|
||||
# bot_user_info = UserInfo(
|
||||
# user_id=global_config.BOT_QQ,
|
||||
# user_nickname=global_config.bot.nickname,
|
||||
# platform=chat_stream.platform,
|
||||
# )
|
||||
|
||||
# message = MessageSending(
|
||||
# message_id=f"dm{round(time.time(), 2)}",
|
||||
# chat_stream=chat_stream,
|
||||
# bot_user_info=bot_user_info,
|
||||
# sender_info=reply_to_message.message_info.user_info if reply_to_message else None,
|
||||
# message_segment=message_segment,
|
||||
# reply=reply_to_message,
|
||||
# is_head=True,
|
||||
# is_emoji=False,
|
||||
# thinking_start_time=time.time(),
|
||||
# )
|
||||
|
||||
# # 处理消息
|
||||
# await message.process()
|
||||
|
||||
# _message_json = message.to_dict()
|
||||
|
||||
# # 发送消息
|
||||
# try:
|
||||
# await self.send_via_ws(message)
|
||||
# await self.storage.store_message(message, chat_stream)
|
||||
# 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)}")
|
||||
@@ -1,91 +0,0 @@
|
||||
from typing import List, Tuple
|
||||
from src.common.logger import get_logger
|
||||
from src.chat.memory_system.Hippocampus import hippocampus_manager
|
||||
from src.llm_models.utils_model import LLMRequest
|
||||
from src.config.config import global_config
|
||||
from src.chat.message_receive.message import Message
|
||||
from src.chat.knowledge.knowledge_lib import qa_manager
|
||||
from src.chat.utils.chat_message_builder import build_readable_messages
|
||||
|
||||
logger = get_logger("knowledge_fetcher")
|
||||
|
||||
|
||||
class KnowledgeFetcher:
|
||||
"""知识调取器"""
|
||||
|
||||
def __init__(self, private_name: str):
|
||||
# TODO: API-Adapter修改标记
|
||||
self.llm = LLMRequest(
|
||||
model=global_config.model.utils,
|
||||
temperature=global_config.model.utils["temp"],
|
||||
max_tokens=1000,
|
||||
request_type="knowledge_fetch",
|
||||
)
|
||||
self.private_name = private_name
|
||||
|
||||
def _lpmm_get_knowledge(self, query: str) -> str:
|
||||
"""获取相关知识
|
||||
|
||||
Args:
|
||||
query: 查询内容
|
||||
|
||||
Returns:
|
||||
str: 构造好的,带相关度的知识
|
||||
"""
|
||||
|
||||
logger.debug(f"[私聊][{self.private_name}]正在从LPMM知识库中获取知识")
|
||||
try:
|
||||
# 检查LPMM知识库是否启用
|
||||
if qa_manager is None:
|
||||
logger.debug(f"[私聊][{self.private_name}]LPMM知识库已禁用，跳过知识获取")
|
||||
return "未找到匹配的知识"
|
||||
|
||||
knowledge_info = qa_manager.get_knowledge(query)
|
||||
logger.debug(f"[私聊][{self.private_name}]LPMM知识库查询结果: {knowledge_info:150}")
|
||||
return knowledge_info
|
||||
except Exception as e:
|
||||
logger.error(f"[私聊][{self.private_name}]LPMM知识库搜索工具执行失败: {str(e)}")
|
||||
return "未找到匹配的知识"
|
||||
|
||||
async def fetch(self, query: str, chat_history: List[Message]) -> Tuple[str, str]:
|
||||
"""获取相关知识
|
||||
|
||||
Args:
|
||||
query: 查询内容
|
||||
chat_history: 聊天历史
|
||||
|
||||
Returns:
|
||||
Tuple[str, str]: (获取的知识, 知识来源)
|
||||
"""
|
||||
# 构建查询上下文
|
||||
chat_history_text = build_readable_messages(
|
||||
chat_history,
|
||||
replace_bot_name=True,
|
||||
merge_messages=False,
|
||||
timestamp_mode="relative",
|
||||
read_mark=0.0,
|
||||
)
|
||||
|
||||
# 从记忆中获取相关知识
|
||||
related_memory = await hippocampus_manager.get_memory_from_text(
|
||||
text=f"{query}\n{chat_history_text}",
|
||||
max_memory_num=3,
|
||||
max_memory_length=2,
|
||||
max_depth=3,
|
||||
fast_retrieval=False,
|
||||
)
|
||||
knowledge_text = ""
|
||||
sources_text = "无记忆匹配" # 默认值
|
||||
if related_memory:
|
||||
sources = []
|
||||
for memory in related_memory:
|
||||
knowledge_text += memory[1] + "\n"
|
||||
sources.append(f"记忆片段{memory[0]}")
|
||||
knowledge_text = knowledge_text.strip()
|
||||
sources_text = "，".join(sources)
|
||||
|
||||
knowledge_text += "\n现在有以下**知识**可供参考：\n "
|
||||
knowledge_text += self._lpmm_get_knowledge(query)
|
||||
knowledge_text += "\n请记住这些**知识**，并根据**知识**回答问题。\n"
|
||||
|
||||
return knowledge_text or "未找到相关知识", sources_text or "无记忆匹配"
|
||||
@@ -1,115 +0,0 @@
|
||||
import time
|
||||
from typing import Dict, Optional
|
||||
from src.common.logger import get_logger
|
||||
from .conversation import Conversation
|
||||
import traceback
|
||||
|
||||
logger = get_logger("pfc_manager")
|
||||
|
||||
|
||||
class PFCManager:
|
||||
"""PFC对话管理器，负责管理所有对话实例"""
|
||||
|
||||
# 单例模式
|
||||
_instance = None
|
||||
|
||||
# 会话实例管理
|
||||
_instances: Dict[str, Conversation] = {}
|
||||
_initializing: Dict[str, bool] = {}
|
||||
|
||||
@classmethod
|
||||
def get_instance(cls) -> "PFCManager":
|
||||
"""获取管理器单例
|
||||
|
||||
Returns:
|
||||
PFCManager: 管理器实例
|
||||
"""
|
||||
if cls._instance is None:
|
||||
cls._instance = PFCManager()
|
||||
return cls._instance
|
||||
|
||||
async def get_or_create_conversation(self, stream_id: str, private_name: str) -> Optional[Conversation]:
|
||||
"""获取或创建对话实例
|
||||
|
||||
Args:
|
||||
stream_id: 聊天流ID
|
||||
private_name: 私聊名称
|
||||
|
||||
Returns:
|
||||
Optional[Conversation]: 对话实例，创建失败则返回None
|
||||
"""
|
||||
# 检查是否已经有实例
|
||||
if stream_id in self._initializing and self._initializing[stream_id]:
|
||||
logger.debug(f"[私聊][{private_name}]会话实例正在初始化中: {stream_id}")
|
||||
return None
|
||||
|
||||
if stream_id in self._instances and self._instances[stream_id].should_continue:
|
||||
logger.debug(f"[私聊][{private_name}]使用现有会话实例: {stream_id}")
|
||||
return self._instances[stream_id]
|
||||
if stream_id in self._instances:
|
||||
instance = self._instances[stream_id]
|
||||
if (
|
||||
hasattr(instance, "ignore_until_timestamp")
|
||||
and instance.ignore_until_timestamp
|
||||
and time.time() < instance.ignore_until_timestamp
|
||||
):
|
||||
logger.debug(f"[私聊][{private_name}]会话实例当前处于忽略状态: {stream_id}")
|
||||
# 返回 None 阻止交互。或者可以返回实例但标记它被忽略了喵？
|
||||
# 还是返回 None 吧喵。
|
||||
return None
|
||||
|
||||
# 检查 should_continue 状态
|
||||
if instance.should_continue:
|
||||
logger.debug(f"[私聊][{private_name}]使用现有会话实例: {stream_id}")
|
||||
return instance
|
||||
# else: 实例存在但不应继续
|
||||
try:
|
||||
# 创建新实例
|
||||
logger.info(f"[私聊][{private_name}]创建新的对话实例: {stream_id}")
|
||||
self._initializing[stream_id] = True
|
||||
# 创建实例
|
||||
conversation_instance = Conversation(stream_id, private_name)
|
||||
self._instances[stream_id] = conversation_instance
|
||||
|
||||
# 启动实例初始化
|
||||
await self._initialize_conversation(conversation_instance)
|
||||
except Exception as e:
|
||||
logger.error(f"[私聊][{private_name}]创建会话实例失败: {stream_id}, 错误: {e}")
|
||||
return None
|
||||
|
||||
return conversation_instance
|
||||
|
||||
async def _initialize_conversation(self, conversation: Conversation):
|
||||
"""初始化会话实例
|
||||
|
||||
Args:
|
||||
conversation: 要初始化的会话实例
|
||||
"""
|
||||
stream_id = conversation.stream_id
|
||||
private_name = conversation.private_name
|
||||
|
||||
try:
|
||||
logger.info(f"[私聊][{private_name}]开始初始化会话实例: {stream_id}")
|
||||
# 启动初始化流程
|
||||
await conversation._initialize()
|
||||
|
||||
# 标记初始化完成
|
||||
self._initializing[stream_id] = False
|
||||
|
||||
logger.info(f"[私聊][{private_name}]会话实例 {stream_id} 初始化完成")
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"[私聊][{private_name}]管理器初始化会话实例失败: {stream_id}, 错误: {e}")
|
||||
logger.error(f"[私聊][{private_name}]{traceback.format_exc()}")
|
||||
# 清理失败的初始化
|
||||
|
||||
async def get_conversation(self, stream_id: str) -> Optional[Conversation]:
|
||||
"""获取已存在的会话实例
|
||||
|
||||
Args:
|
||||
stream_id: 聊天流ID
|
||||
|
||||
Returns:
|
||||
Optional[Conversation]: 会话实例，不存在则返回None
|
||||
"""
|
||||
return self._instances.get(stream_id)
|
||||
@@ -1,23 +0,0 @@
|
||||
from enum import Enum
|
||||
from typing import Literal
|
||||
|
||||
|
||||
class ConversationState(Enum):
|
||||
"""对话状态"""
|
||||
|
||||
INIT = "初始化"
|
||||
RETHINKING = "重新思考"
|
||||
ANALYZING = "分析历史"
|
||||
PLANNING = "规划目标"
|
||||
GENERATING = "生成回复"
|
||||
CHECKING = "检查回复"
|
||||
SENDING = "发送消息"
|
||||
FETCHING = "获取知识"
|
||||
WAITING = "等待"
|
||||
LISTENING = "倾听"
|
||||
ENDED = "结束"
|
||||
JUDGING = "判断"
|
||||
IGNORED = "屏蔽"
|
||||
|
||||
|
||||
ActionType = Literal["direct_reply", "fetch_knowledge", "wait"]
|
||||
@@ -1,127 +0,0 @@
|
||||
import json
|
||||
import re
|
||||
from typing import Dict, Any, Optional, Tuple, List, Union
|
||||
from src.common.logger import get_logger
|
||||
|
||||
logger = get_logger("pfc_utils")
|
||||
|
||||
|
||||
def get_items_from_json(
|
||||
content: str,
|
||||
private_name: str,
|
||||
*items: str,
|
||||
default_values: Optional[Dict[str, Any]] = None,
|
||||
required_types: Optional[Dict[str, type]] = None,
|
||||
allow_array: bool = True,
|
||||
) -> Tuple[bool, Union[Dict[str, Any], List[Dict[str, Any]]]]:
|
||||
"""从文本中提取JSON内容并获取指定字段
|
||||
|
||||
Args:
|
||||
content: 包含JSON的文本
|
||||
private_name: 私聊名称
|
||||
*items: 要提取的字段名
|
||||
default_values: 字段的默认值，格式为 {字段名: 默认值}
|
||||
required_types: 字段的必需类型，格式为 {字段名: 类型}
|
||||
allow_array: 是否允许解析JSON数组
|
||||
|
||||
Returns:
|
||||
Tuple[bool, Union[Dict[str, Any], List[Dict[str, Any]]]]: (是否成功, 提取的字段字典或字典列表)
|
||||
"""
|
||||
content = content.strip()
|
||||
result = {}
|
||||
|
||||
# 设置默认值
|
||||
if default_values:
|
||||
result.update(default_values)
|
||||
|
||||
# 首先尝试解析为JSON数组
|
||||
if allow_array:
|
||||
try:
|
||||
# 尝试找到文本中的JSON数组
|
||||
array_pattern = r"\[[\s\S]*\]"
|
||||
array_match = re.search(array_pattern, content)
|
||||
if array_match:
|
||||
array_content = array_match.group()
|
||||
json_array = json.loads(array_content)
|
||||
|
||||
# 确认是数组类型
|
||||
if isinstance(json_array, list):
|
||||
# 验证数组中的每个项目是否包含所有必需字段
|
||||
valid_items = []
|
||||
for item in json_array:
|
||||
if not isinstance(item, dict):
|
||||
continue
|
||||
|
||||
# 检查是否有所有必需字段
|
||||
if all(field in item for field in items):
|
||||
# 验证字段类型
|
||||
if required_types:
|
||||
type_valid = True
|
||||
for field, expected_type in required_types.items():
|
||||
if field in item and not isinstance(item[field], expected_type):
|
||||
type_valid = False
|
||||
break
|
||||
|
||||
if not type_valid:
|
||||
continue
|
||||
|
||||
# 验证字符串字段不为空
|
||||
string_valid = True
|
||||
for field in items:
|
||||
if isinstance(item[field], str) and not item[field].strip():
|
||||
string_valid = False
|
||||
break
|
||||
|
||||
if not string_valid:
|
||||
continue
|
||||
|
||||
valid_items.append(item)
|
||||
|
||||
if valid_items:
|
||||
return True, valid_items
|
||||
except json.JSONDecodeError:
|
||||
logger.debug(f"[私聊][{private_name}]JSON数组解析失败，尝试解析单个JSON对象")
|
||||
except Exception as e:
|
||||
logger.debug(f"[私聊][{private_name}]尝试解析JSON数组时出错: {str(e)}")
|
||||
|
||||
# 尝试解析JSON对象
|
||||
try:
|
||||
json_data = json.loads(content)
|
||||
except json.JSONDecodeError:
|
||||
# 如果直接解析失败，尝试查找和提取JSON部分
|
||||
json_pattern = r"\{[^{}]*\}"
|
||||
json_match = re.search(json_pattern, content)
|
||||
if json_match:
|
||||
try:
|
||||
json_data = json.loads(json_match.group())
|
||||
except json.JSONDecodeError:
|
||||
logger.error(f"[私聊][{private_name}]提取的JSON内容解析失败")
|
||||
return False, result
|
||||
else:
|
||||
logger.error(f"[私聊][{private_name}]无法在返回内容中找到有效的JSON")
|
||||
return False, result
|
||||
|
||||
# 提取字段
|
||||
for item in items:
|
||||
if item in json_data:
|
||||
result[item] = json_data[item]
|
||||
|
||||
# 验证必需字段
|
||||
if not all(item in result for item in items):
|
||||
logger.error(f"[私聊][{private_name}]JSON缺少必要字段，实际内容: {json_data}")
|
||||
return False, result
|
||||
|
||||
# 验证字段类型
|
||||
if required_types:
|
||||
for field, expected_type in required_types.items():
|
||||
if field in result and not isinstance(result[field], expected_type):
|
||||
logger.error(f"[私聊][{private_name}]{field} 必须是 {expected_type.__name__} 类型")
|
||||
return False, result
|
||||
|
||||
# 验证字符串字段不为空
|
||||
for field in items:
|
||||
if isinstance(result[field], str) and not result[field].strip():
|
||||
logger.error(f"[私聊][{private_name}]{field} 不能为空")
|
||||
return False, result
|
||||
|
||||
return True, result
|
||||
@@ -1,183 +0,0 @@
|
||||
import json
|
||||
from typing import Tuple, List, Dict, Any
|
||||
from src.common.logger import get_logger
|
||||
from src.llm_models.utils_model import LLMRequest
|
||||
from src.config.config import global_config
|
||||
from src.experimental.PFC.chat_observer import ChatObserver
|
||||
from maim_message import UserInfo
|
||||
|
||||
logger = get_logger("reply_checker")
|
||||
|
||||
|
||||
class ReplyChecker:
|
||||
"""回复检查器"""
|
||||
|
||||
def __init__(self, stream_id: str, private_name: str):
|
||||
self.llm = LLMRequest(
|
||||
model=global_config.llm_PFC_reply_checker, temperature=0.50, max_tokens=1000, request_type="reply_check"
|
||||
)
|
||||
self.name = global_config.bot.nickname
|
||||
self.private_name = private_name
|
||||
self.chat_observer = ChatObserver.get_instance(stream_id, private_name)
|
||||
self.max_retries = 3 # 最大重试次数
|
||||
|
||||
async def check(
|
||||
self, reply: str, goal: str, chat_history: List[Dict[str, Any]], chat_history_text: str, retry_count: int = 0
|
||||
) -> Tuple[bool, str, bool]:
|
||||
"""检查生成的回复是否合适
|
||||
|
||||
Args:
|
||||
reply: 生成的回复
|
||||
goal: 对话目标
|
||||
chat_history: 对话历史记录
|
||||
chat_history_text: 对话历史记录文本
|
||||
retry_count: 当前重试次数
|
||||
|
||||
Returns:
|
||||
Tuple[bool, str, bool]: (是否合适, 原因, 是否需要重新规划)
|
||||
"""
|
||||
# 不再从 observer 获取，直接使用传入的 chat_history
|
||||
# messages = self.chat_observer.get_cached_messages(limit=20)
|
||||
try:
|
||||
# 筛选出最近由 Bot 自己发送的消息
|
||||
bot_messages = []
|
||||
for msg in reversed(chat_history):
|
||||
user_info = UserInfo.from_dict(msg.get("user_info", {}))
|
||||
if str(user_info.user_id) == str(global_config.bot.qq_account): # 确保比较的是字符串
|
||||
bot_messages.append(msg.get("processed_plain_text", ""))
|
||||
if len(bot_messages) >= 2: # 只和最近的两条比较
|
||||
break
|
||||
# 进行比较
|
||||
if bot_messages:
|
||||
# 可以用简单比较，或者更复杂的相似度库 (如 difflib)
|
||||
# 简单比较：是否完全相同
|
||||
if reply == bot_messages[0]: # 和最近一条完全一样
|
||||
logger.warning(
|
||||
f"[私聊][{self.private_name}]ReplyChecker 检测到回复与上一条 Bot 消息完全相同: '{reply}'"
|
||||
)
|
||||
return (
|
||||
False,
|
||||
"被逻辑检查拒绝：回复内容与你上一条发言完全相同，可以选择深入话题或寻找其它话题或等待",
|
||||
True,
|
||||
) # 不合适，需要返回至决策层
|
||||
# 2. 相似度检查 (如果精确匹配未通过)
|
||||
import difflib # 导入 difflib 库
|
||||
|
||||
# 计算编辑距离相似度，ratio() 返回 0 到 1 之间的浮点数
|
||||
similarity_ratio = difflib.SequenceMatcher(None, reply, bot_messages[0]).ratio()
|
||||
logger.debug(f"[私聊][{self.private_name}]ReplyChecker - 相似度: {similarity_ratio:.2f}")
|
||||
|
||||
# 设置一个相似度阈值
|
||||
similarity_threshold = 0.9
|
||||
if similarity_ratio > similarity_threshold:
|
||||
logger.warning(
|
||||
f"[私聊][{self.private_name}]ReplyChecker 检测到回复与上一条 Bot 消息高度相似 (相似度 {similarity_ratio:.2f}): '{reply}'"
|
||||
)
|
||||
return (
|
||||
False,
|
||||
f"被逻辑检查拒绝：回复内容与你上一条发言高度相似 (相似度 {similarity_ratio:.2f})，可以选择深入话题或寻找其它话题或等待。",
|
||||
True,
|
||||
)
|
||||
|
||||
except Exception as e:
|
||||
import traceback
|
||||
|
||||
logger.error(f"[私聊][{self.private_name}]检查回复时出错: 类型={type(e)}, 值={e}")
|
||||
logger.error(f"[私聊][{self.private_name}]{traceback.format_exc()}") # 打印详细的回溯信息
|
||||
|
||||
prompt = f"""你是一个聊天逻辑检查器，请检查以下回复或消息是否合适：
|
||||
|
||||
当前对话目标：{goal}
|
||||
最新的对话记录：
|
||||
{chat_history_text}
|
||||
|
||||
待检查的消息：
|
||||
{reply}
|
||||
|
||||
请结合聊天记录检查以下几点：
|
||||
1. 这条消息是否依然符合当前对话目标和实现方式
|
||||
2. 这条消息是否与最新的对话记录保持一致性
|
||||
3. 是否存在重复发言，或重复表达同质内容（尤其是只是换一种方式表达了相同的含义）
|
||||
4. 这条消息是否包含违规内容（例如血腥暴力，政治敏感等）
|
||||
5. 这条消息是否以发送者的角度发言（不要让发送者自己回复自己的消息）
|
||||
6. 这条消息是否通俗易懂
|
||||
7. 这条消息是否有些多余，例如在对方没有回复的情况下，依然连续多次“消息轰炸”（尤其是已经连续发送3条信息的情况，这很可能不合理，需要着重判断）
|
||||
8. 这条消息是否使用了完全没必要的修辞
|
||||
9. 这条消息是否逻辑通顺
|
||||
10. 这条消息是否太过冗长了（通常私聊的每条消息长度在20字以内，除非特殊情况）
|
||||
11. 在连续多次发送消息的情况下，这条消息是否衔接自然，会不会显得奇怪（例如连续两条消息中部分内容重叠）
|
||||
|
||||
请以JSON格式输出，包含以下字段：
|
||||
1. suitable: 是否合适 (true/false)
|
||||
2. reason: 原因说明
|
||||
3. need_replan: 是否需要重新决策 (true/false)，当你认为此时已经不适合发消息，需要规划其它行动时，设为true
|
||||
|
||||
输出格式示例：
|
||||
{{
|
||||
"suitable": true,
|
||||
"reason": "回复符合要求，虽然有可能略微偏离目标，但是整体内容流畅得体",
|
||||
"need_replan": false
|
||||
}}
|
||||
|
||||
注意：请严格按照JSON格式输出，不要包含任何其他内容。"""
|
||||
|
||||
try:
|
||||
content, _ = await self.llm.generate_response_async(prompt)
|
||||
logger.debug(f"[私聊][{self.private_name}]检查回复的原始返回: {content}")
|
||||
|
||||
# 清理内容，尝试提取JSON部分
|
||||
content = content.strip()
|
||||
try:
|
||||
# 尝试直接解析
|
||||
result = json.loads(content)
|
||||
except json.JSONDecodeError:
|
||||
# 如果直接解析失败，尝试查找和提取JSON部分
|
||||
import re
|
||||
|
||||
json_pattern = r"\{[^{}]*\}"
|
||||
json_match = re.search(json_pattern, content)
|
||||
if json_match:
|
||||
try:
|
||||
result = json.loads(json_match.group())
|
||||
except json.JSONDecodeError:
|
||||
# 如果JSON解析失败，尝试从文本中提取结果
|
||||
is_suitable = "不合适" not in content.lower() and "违规" not in content.lower()
|
||||
reason = content[:100] if content else "无法解析响应"
|
||||
need_replan = "重新规划" in content.lower() or "目标不适合" in content.lower()
|
||||
return is_suitable, reason, need_replan
|
||||
else:
|
||||
# 如果找不到JSON，从文本中判断
|
||||
is_suitable = "不合适" not in content.lower() and "违规" not in content.lower()
|
||||
reason = content[:100] if content else "无法解析响应"
|
||||
need_replan = "重新规划" in content.lower() or "目标不适合" in content.lower()
|
||||
return is_suitable, reason, need_replan
|
||||
|
||||
# 验证JSON字段
|
||||
suitable = result.get("suitable", None)
|
||||
reason = result.get("reason", "未提供原因")
|
||||
need_replan = result.get("need_replan", False)
|
||||
|
||||
# 如果suitable字段是字符串，转换为布尔值
|
||||
if isinstance(suitable, str):
|
||||
suitable = suitable.lower() == "true"
|
||||
|
||||
# 如果suitable字段不存在或不是布尔值，从reason中判断
|
||||
if suitable is None:
|
||||
suitable = "不合适" not in reason.lower() and "违规" not in reason.lower()
|
||||
|
||||
# 如果不合适且未达到最大重试次数，返回需要重试
|
||||
if not suitable and retry_count < self.max_retries:
|
||||
return False, reason, False
|
||||
|
||||
# 如果不合适且已达到最大重试次数，返回需要重新规划
|
||||
if not suitable and retry_count >= self.max_retries:
|
||||
return False, f"多次重试后仍不合适: {reason}", True
|
||||
|
||||
return suitable, reason, need_replan
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"[私聊][{self.private_name}]检查回复时出错: {e}")
|
||||
# 如果出错且已达到最大重试次数，建议重新规划
|
||||
if retry_count >= self.max_retries:
|
||||
return False, "多次检查失败，建议重新规划", True
|
||||
return False, f"检查过程出错，建议重试: {str(e)}", False
|
||||
@@ -1,227 +0,0 @@
|
||||
from typing import Tuple, List, Dict, Any
|
||||
from src.common.logger import get_logger
|
||||
from src.llm_models.utils_model import LLMRequest
|
||||
from src.config.config import global_config
|
||||
from src.experimental.PFC.chat_observer import ChatObserver
|
||||
from src.experimental.PFC.reply_checker import ReplyChecker
|
||||
from src.individuality.individuality import get_individuality
|
||||
from .observation_info import ObservationInfo
|
||||
from .conversation_info import ConversationInfo
|
||||
from src.chat.utils.chat_message_builder import build_readable_messages
|
||||
|
||||
logger = get_logger("reply_generator")
|
||||
|
||||
# --- 定义 Prompt 模板 ---
|
||||
|
||||
# Prompt for direct_reply (首次回复)
|
||||
PROMPT_DIRECT_REPLY = """{persona_text}。现在你在参与一场QQ私聊，请根据以下信息生成一条回复：
|
||||
|
||||
当前对话目标：{goals_str}
|
||||
|
||||
{knowledge_info_str}
|
||||
|
||||
最近的聊天记录：
|
||||
{chat_history_text}
|
||||
|
||||
|
||||
请根据上述信息，结合聊天记录，回复对方。该回复应该：
|
||||
1. 符合对话目标，以"你"的角度发言（不要自己与自己对话！）
|
||||
2. 符合你的性格特征和身份细节
|
||||
3. 通俗易懂，自然流畅，像正常聊天一样，简短（通常20字以内，除非特殊情况）
|
||||
4. 可以适当利用相关知识，但不要生硬引用
|
||||
5. 自然、得体，结合聊天记录逻辑合理，且没有重复表达同质内容
|
||||
|
||||
请注意把握聊天内容，不要回复的太有条理，可以有个性。请分清"你"和对方说的话，不要把"你"说的话当做对方说的话，这是你自己说的话。
|
||||
可以回复得自然随意自然一些，就像真人一样，注意把握聊天内容，整体风格可以平和、简短，不要刻意突出自身学科背景，不要说你说过的话，可以简短，多简短都可以，但是避免冗长。
|
||||
请你注意不要输出多余内容(包括前后缀，冒号和引号，括号，表情等)，只输出回复内容。
|
||||
不要输出多余内容(包括前后缀，冒号和引号，括号，表情包，at或 @等 )。
|
||||
|
||||
请直接输出回复内容，不需要任何额外格式。"""
|
||||
|
||||
# Prompt for send_new_message (追问/补充)
|
||||
PROMPT_SEND_NEW_MESSAGE = """{persona_text}。现在你在参与一场QQ私聊，**刚刚你已经发送了一条或多条消息**，现在请根据以下信息再发一条新消息：
|
||||
|
||||
当前对话目标：{goals_str}
|
||||
|
||||
{knowledge_info_str}
|
||||
|
||||
最近的聊天记录：
|
||||
{chat_history_text}
|
||||
|
||||
|
||||
请根据上述信息，结合聊天记录，继续发一条新消息（例如对之前消息的补充，深入话题，或追问等等）。该消息应该：
|
||||
1. 符合对话目标，以"你"的角度发言（不要自己与自己对话！）
|
||||
2. 符合你的性格特征和身份细节
|
||||
3. 通俗易懂，自然流畅，像正常聊天一样，简短（通常20字以内，除非特殊情况）
|
||||
4. 可以适当利用相关知识，但不要生硬引用
|
||||
5. 跟之前你发的消息自然的衔接，逻辑合理，且没有重复表达同质内容或部分重叠内容
|
||||
|
||||
请注意把握聊天内容，不用太有条理，可以有个性。请分清"你"和对方说的话，不要把"你"说的话当做对方说的话，这是你自己说的话。
|
||||
这条消息可以自然随意自然一些，就像真人一样，注意把握聊天内容，整体风格可以平和、简短，不要刻意突出自身学科背景，不要说你说过的话，可以简短，多简短都可以，但是避免冗长。
|
||||
请你注意不要输出多余内容(包括前后缀，冒号和引号，括号，表情等)，只输出消息内容。
|
||||
不要输出多余内容(包括前后缀，冒号和引号，括号，表情包，at或 @等 )。
|
||||
|
||||
请直接输出回复内容，不需要任何额外格式。"""
|
||||
|
||||
# Prompt for say_goodbye (告别语生成)
|
||||
PROMPT_FAREWELL = """{persona_text}。你在参与一场 QQ 私聊，现在对话似乎已经结束，你决定再发一条最后的消息来圆满结束。
|
||||
|
||||
最近的聊天记录：
|
||||
{chat_history_text}
|
||||
|
||||
请根据上述信息，结合聊天记录，构思一条**简短、自然、符合你人设**的最后的消息。
|
||||
这条消息应该：
|
||||
1. 从你自己的角度发言。
|
||||
2. 符合你的性格特征和身份细节。
|
||||
3. 通俗易懂，自然流畅，通常很简短。
|
||||
4. 自然地为这场对话画上句号，避免开启新话题或显得冗长、刻意。
|
||||
|
||||
请像真人一样随意自然，**简洁是关键**。
|
||||
不要输出多余内容（包括前后缀、冒号、引号、括号、表情包、at或@等）。
|
||||
|
||||
请直接输出最终的告别消息内容，不需要任何额外格式。"""
|
||||
|
||||
|
||||
class ReplyGenerator:
|
||||
"""回复生成器"""
|
||||
|
||||
def __init__(self, stream_id: str, private_name: str):
|
||||
self.llm = LLMRequest(
|
||||
model=global_config.llm_PFC_chat,
|
||||
temperature=global_config.llm_PFC_chat["temp"],
|
||||
request_type="reply_generation",
|
||||
)
|
||||
self.personality_info = get_individuality().get_prompt(x_person=2, level=3)
|
||||
self.name = global_config.bot.nickname
|
||||
self.private_name = private_name
|
||||
self.chat_observer = ChatObserver.get_instance(stream_id, private_name)
|
||||
self.reply_checker = ReplyChecker(stream_id, private_name)
|
||||
|
||||
# 修改 generate 方法签名，增加 action_type 参数
|
||||
async def generate(
|
||||
self, observation_info: ObservationInfo, conversation_info: ConversationInfo, action_type: str
|
||||
) -> str:
|
||||
"""生成回复
|
||||
|
||||
Args:
|
||||
observation_info: 观察信息
|
||||
conversation_info: 对话信息
|
||||
action_type: 当前执行的动作类型 ('direct_reply' 或 'send_new_message')
|
||||
|
||||
Returns:
|
||||
str: 生成的回复
|
||||
"""
|
||||
# 构建提示词
|
||||
logger.debug(
|
||||
f"[私聊][{self.private_name}]开始生成回复 (动作类型: {action_type})：当前目标: {conversation_info.goal_list}"
|
||||
)
|
||||
|
||||
# --- 构建通用 Prompt 参数 ---
|
||||
# (这部分逻辑基本不变)
|
||||
|
||||
# 构建对话目标 (goals_str)
|
||||
goals_str = ""
|
||||
if conversation_info.goal_list:
|
||||
for goal_reason in conversation_info.goal_list:
|
||||
if isinstance(goal_reason, dict):
|
||||
goal = goal_reason.get("goal", "目标内容缺失")
|
||||
reasoning = goal_reason.get("reasoning", "没有明确原因")
|
||||
else:
|
||||
goal = str(goal_reason)
|
||||
reasoning = "没有明确原因"
|
||||
|
||||
goal = str(goal) if goal is not None else "目标内容缺失"
|
||||
reasoning = str(reasoning) if reasoning is not None else "没有明确原因"
|
||||
goals_str += f"- 目标：{goal}\n 原因：{reasoning}\n"
|
||||
else:
|
||||
goals_str = "- 目前没有明确对话目标\n" # 简化无目标情况
|
||||
|
||||
# --- 新增：构建知识信息字符串 ---
|
||||
knowledge_info_str = "【供参考的相关知识和记忆】\n" # 稍微改下标题，表明是供参考
|
||||
try:
|
||||
# 检查 conversation_info 是否有 knowledge_list 并且不为空
|
||||
if hasattr(conversation_info, "knowledge_list") and conversation_info.knowledge_list:
|
||||
# 最多只显示最近的 5 条知识
|
||||
recent_knowledge = conversation_info.knowledge_list[-5:]
|
||||
for i, knowledge_item in enumerate(recent_knowledge):
|
||||
if isinstance(knowledge_item, dict):
|
||||
query = knowledge_item.get("query", "未知查询")
|
||||
knowledge = knowledge_item.get("knowledge", "无知识内容")
|
||||
source = knowledge_item.get("source", "未知来源")
|
||||
# 只取知识内容的前 2000 个字
|
||||
knowledge_snippet = knowledge[:2000] + "..." if len(knowledge) > 2000 else knowledge
|
||||
knowledge_info_str += (
|
||||
f"{i + 1}. 关于 '{query}' (来源: {source}): {knowledge_snippet}\n" # 格式微调，更简洁
|
||||
)
|
||||
else:
|
||||
knowledge_info_str += f"{i + 1}. 发现一条格式不正确的知识记录。\n"
|
||||
|
||||
if not recent_knowledge:
|
||||
knowledge_info_str += "- 暂无。\n" # 更简洁的提示
|
||||
|
||||
else:
|
||||
knowledge_info_str += "- 暂无。\n"
|
||||
except AttributeError:
|
||||
logger.warning(f"[私聊][{self.private_name}]ConversationInfo 对象可能缺少 knowledge_list 属性。")
|
||||
knowledge_info_str += "- 获取知识列表时出错。\n"
|
||||
except Exception as e:
|
||||
logger.error(f"[私聊][{self.private_name}]构建知识信息字符串时出错: {e}")
|
||||
knowledge_info_str += "- 处理知识列表时出错。\n"
|
||||
|
||||
# 获取聊天历史记录 (chat_history_text)
|
||||
chat_history_text = observation_info.chat_history_str
|
||||
if observation_info.new_messages_count > 0 and observation_info.unprocessed_messages:
|
||||
new_messages_list = observation_info.unprocessed_messages
|
||||
new_messages_str = build_readable_messages(
|
||||
new_messages_list,
|
||||
replace_bot_name=True,
|
||||
merge_messages=False,
|
||||
timestamp_mode="relative",
|
||||
read_mark=0.0,
|
||||
)
|
||||
chat_history_text += f"\n--- 以下是 {observation_info.new_messages_count} 条新消息 ---\n{new_messages_str}"
|
||||
elif not chat_history_text:
|
||||
chat_history_text = "还没有聊天记录。"
|
||||
|
||||
# 构建 Persona 文本 (persona_text)
|
||||
persona_text = f"你的名字是{self.name}，{self.personality_info}。"
|
||||
|
||||
# --- 选择 Prompt ---
|
||||
if action_type == "send_new_message":
|
||||
prompt_template = PROMPT_SEND_NEW_MESSAGE
|
||||
logger.info(f"[私聊][{self.private_name}]使用 PROMPT_SEND_NEW_MESSAGE (追问生成)")
|
||||
elif action_type == "say_goodbye": # 处理告别动作
|
||||
prompt_template = PROMPT_FAREWELL
|
||||
logger.info(f"[私聊][{self.private_name}]使用 PROMPT_FAREWELL (告别语生成)")
|
||||
else: # 默认使用 direct_reply 的 prompt (包括 'direct_reply' 或其他未明确处理的类型)
|
||||
prompt_template = PROMPT_DIRECT_REPLY
|
||||
logger.info(f"[私聊][{self.private_name}]使用 PROMPT_DIRECT_REPLY (首次/非连续回复生成)")
|
||||
|
||||
# --- 格式化最终的 Prompt ---
|
||||
prompt = prompt_template.format(
|
||||
persona_text=persona_text,
|
||||
goals_str=goals_str,
|
||||
chat_history_text=chat_history_text,
|
||||
knowledge_info_str=knowledge_info_str,
|
||||
)
|
||||
|
||||
# --- 调用 LLM 生成 ---
|
||||
logger.debug(f"[私聊][{self.private_name}]发送到LLM的生成提示词:\n------\n{prompt}\n------")
|
||||
try:
|
||||
content, _ = await self.llm.generate_response_async(prompt)
|
||||
logger.debug(f"[私聊][{self.private_name}]生成的回复: {content}")
|
||||
# 移除旧的检查新消息逻辑，这应该由 conversation 控制流处理
|
||||
return content
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"[私聊][{self.private_name}]生成回复时出错: {e}")
|
||||
return "抱歉，我现在有点混乱，让我重新思考一下..."
|
||||
|
||||
# check_reply 方法保持不变
|
||||
async def check_reply(
|
||||
self, reply: str, goal: str, chat_history: List[Dict[str, Any]], chat_history_str: str, retry_count: int = 0
|
||||
) -> Tuple[bool, str, bool]:
|
||||
"""检查回复是否合适
|
||||
(此方法逻辑保持不变)
|
||||
"""
|
||||
return await self.reply_checker.check(reply, goal, chat_history, chat_history_str, retry_count)
|
||||
@@ -1,79 +0,0 @@
|
||||
from src.common.logger import get_logger
|
||||
from .chat_observer import ChatObserver
|
||||
from .conversation_info import ConversationInfo
|
||||
|
||||
# from src.individuality.individuality get_individuality,Individuality # 不再需要
|
||||
from src.config.config import global_config
|
||||
import time
|
||||
import asyncio
|
||||
|
||||
logger = get_logger("waiter")
|
||||
|
||||
# --- 在这里设定你想要的超时时间（秒） ---
|
||||
# 例如： 120 秒 = 2 分钟
|
||||
DESIRED_TIMEOUT_SECONDS = 300
|
||||
|
||||
|
||||
class Waiter:
|
||||
"""等待处理类"""
|
||||
|
||||
def __init__(self, stream_id: str, private_name: str):
|
||||
self.chat_observer = ChatObserver.get_instance(stream_id, private_name)
|
||||
self.name = global_config.bot.nickname
|
||||
self.private_name = private_name
|
||||
# self.wait_accumulated_time = 0 # 不再需要累加计时
|
||||
|
||||
async def wait(self, conversation_info: ConversationInfo) -> bool:
|
||||
"""等待用户新消息或超时"""
|
||||
wait_start_time = time.time()
|
||||
logger.info(f"[私聊][{self.private_name}]进入常规等待状态 (超时: {DESIRED_TIMEOUT_SECONDS} 秒)...")
|
||||
|
||||
while True:
|
||||
# 检查是否有新消息
|
||||
if self.chat_observer.new_message_after(wait_start_time):
|
||||
logger.info(f"[私聊][{self.private_name}]等待结束，收到新消息")
|
||||
return False # 返回 False 表示不是超时
|
||||
|
||||
# 检查是否超时
|
||||
elapsed_time = time.time() - wait_start_time
|
||||
if elapsed_time > DESIRED_TIMEOUT_SECONDS:
|
||||
logger.info(f"[私聊][{self.private_name}]等待超过 {DESIRED_TIMEOUT_SECONDS} 秒...添加思考目标。")
|
||||
wait_goal = {
|
||||
"goal": f"你等待了{elapsed_time / 60:.1f}分钟，注意可能在对方看来聊天已经结束，思考接下来要做什么",
|
||||
"reasoning": "对方很久没有回复你的消息了",
|
||||
}
|
||||
conversation_info.goal_list.append(wait_goal)
|
||||
logger.info(f"[私聊][{self.private_name}]添加目标: {wait_goal}")
|
||||
return True # 返回 True 表示超时
|
||||
|
||||
await asyncio.sleep(5) # 每 5 秒检查一次
|
||||
logger.debug(
|
||||
f"[私聊][{self.private_name}]等待中..."
|
||||
) # 可以考虑把这个频繁日志注释掉，只在超时或收到消息时输出
|
||||
|
||||
async def wait_listening(self, conversation_info: ConversationInfo) -> bool:
|
||||
"""倾听用户发言或超时"""
|
||||
wait_start_time = time.time()
|
||||
logger.info(f"[私聊][{self.private_name}]进入倾听等待状态 (超时: {DESIRED_TIMEOUT_SECONDS} 秒)...")
|
||||
|
||||
while True:
|
||||
# 检查是否有新消息
|
||||
if self.chat_observer.new_message_after(wait_start_time):
|
||||
logger.info(f"[私聊][{self.private_name}]倾听等待结束，收到新消息")
|
||||
return False # 返回 False 表示不是超时
|
||||
|
||||
# 检查是否超时
|
||||
elapsed_time = time.time() - wait_start_time
|
||||
if elapsed_time > DESIRED_TIMEOUT_SECONDS:
|
||||
logger.info(f"[私聊][{self.private_name}]倾听等待超过 {DESIRED_TIMEOUT_SECONDS} 秒...添加思考目标。")
|
||||
wait_goal = {
|
||||
# 保持 goal 文本一致
|
||||
"goal": f"你等待了{elapsed_time / 60:.1f}分钟，对方似乎话说一半突然消失了，可能忙去了？也可能忘记了回复？要问问吗？还是结束对话？或继续等待？思考接下来要做什么",
|
||||
"reasoning": "对方话说一半消失了，很久没有回复",
|
||||
}
|
||||
conversation_info.goal_list.append(wait_goal)
|
||||
logger.info(f"[私聊][{self.private_name}]添加目标: {wait_goal}")
|
||||
return True # 返回 True 表示超时
|
||||
|
||||
await asyncio.sleep(5) # 每 5 秒检查一次
|
||||
logger.debug(f"[私聊][{self.private_name}]倾听等待中...") # 同上，可以考虑注释掉
|
||||
@@ -1,70 +0,0 @@
|
||||
from src.common.logger import get_logger
|
||||
from src.chat.message_receive.message import MessageRecv
|
||||
from src.chat.message_receive.storage import MessageStorage
|
||||
from src.config.config import global_config
|
||||
from src.chat.message_receive.chat_stream import ChatStream
|
||||
|
||||
from maim_message import UserInfo
|
||||
from datetime import datetime
|
||||
import re
|
||||
|
||||
logger = get_logger("pfc")
|
||||
|
||||
|
||||
class MessageProcessor:
|
||||
"""消息处理器，负责处理接收到的消息并存储"""
|
||||
|
||||
def __init__(self):
|
||||
self.storage = MessageStorage()
|
||||
|
||||
@staticmethod
|
||||
def _check_ban_words(text: str, chat: ChatStream, userinfo: UserInfo) -> bool:
|
||||
"""检查消息中是否包含过滤词"""
|
||||
for word in global_config.message_receive.ban_words:
|
||||
if word in text:
|
||||
logger.info(
|
||||
f"[{chat.group_info.group_name if chat.group_info else '私聊'}]{userinfo.user_nickname}:{text}"
|
||||
)
|
||||
logger.info(f"[过滤词识别]消息中含有{word}，filtered")
|
||||
return True
|
||||
return False
|
||||
|
||||
@staticmethod
|
||||
def _check_ban_regex(text: str, chat: ChatStream, userinfo: UserInfo) -> bool:
|
||||
"""检查消息是否匹配过滤正则表达式"""
|
||||
for pattern in global_config.message_receive.ban_msgs_regex:
|
||||
if re.search(pattern, text):
|
||||
chat_name = chat.group_info.group_name if chat.group_info else "私聊"
|
||||
logger.info(f"[{chat_name}]{userinfo.user_nickname}:{text}")
|
||||
logger.info(f"[正则表达式过滤]消息匹配到{pattern}，filtered")
|
||||
return True
|
||||
return False
|
||||
|
||||
async def process_message(self, message: MessageRecv) -> None:
|
||||
"""处理消息并存储
|
||||
|
||||
Args:
|
||||
message: 消息对象
|
||||
"""
|
||||
userinfo = message.message_info.user_info
|
||||
chat = message.chat_stream
|
||||
|
||||
# 处理消息
|
||||
await message.process()
|
||||
|
||||
# 过滤词/正则表达式过滤
|
||||
if self._check_ban_words(message.processed_plain_text, chat, userinfo) or self._check_ban_regex(
|
||||
message.raw_message, chat, userinfo
|
||||
):
|
||||
return
|
||||
|
||||
# 存储消息
|
||||
await self.storage.store_message(message, chat)
|
||||
|
||||
# 打印消息信息
|
||||
mes_name = chat.group_info.group_name if chat.group_info else "私聊"
|
||||
# 将时间戳转换为datetime对象
|
||||
current_time = datetime.fromtimestamp(message.message_info.time).strftime("%H:%M:%S")
|
||||
logger.info(
|
||||
f"[{current_time}][{mes_name}]{message.message_info.user_info.user_nickname}: {message.processed_plain_text}"
|
||||
)
|
||||
@@ -219,7 +219,7 @@ class FacialExpression:
|
||||
|
||||
# 获取最强情绪
|
||||
dominant_emotion = max(emotions, key=emotions.get)
|
||||
dominant_value = emotions[dominant_emotion]
|
||||
_dominant_value = emotions[dominant_emotion]
|
||||
|
||||
# 根据情绪强度和类型选择表情
|
||||
if dominant_emotion == "joy":
|
||||
@@ -408,7 +408,7 @@ class ChatMood:
|
||||
self.mood_state = text_mood_response
|
||||
|
||||
if numerical_mood_response:
|
||||
old_mood_values = self.mood_values.copy()
|
||||
_old_mood_values = self.mood_values.copy()
|
||||
self.mood_values = numerical_mood_response
|
||||
|
||||
# 发送面部表情
|
||||
@@ -488,7 +488,7 @@ class ChatMood:
|
||||
self.mood_state = text_mood_response
|
||||
|
||||
if numerical_mood_response:
|
||||
old_mood_values = self.mood_values.copy()
|
||||
_old_mood_values = self.mood_values.copy()
|
||||
self.mood_values = numerical_mood_response
|
||||
|
||||
# 发送面部表情
|
||||
|
||||
@@ -9,7 +9,7 @@ from src.chat.utils.prompt_builder import Prompt, global_prompt_manager
|
||||
from src.chat.utils.chat_message_builder import build_readable_messages, get_raw_msg_by_timestamp_with_chat_inclusive
|
||||
from src.llm_models.utils_model import LLMRequest
|
||||
from src.manager.async_task_manager import AsyncTask, async_task_manager
|
||||
from src.chat.message_receive.chat_stream import ChatStream, get_chat_manager
|
||||
from src.chat.message_receive.chat_stream import get_chat_manager
|
||||
|
||||
logger = get_logger("mood")
|
||||
|
||||
|
||||
Reference in New Issue
Block a user