feat:拆分HFC组件,为插件做准备
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37
src/chat/focus_chat/planners/actions/base_action.py
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37
src/chat/focus_chat/planners/actions/base_action.py
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from abc import ABC, abstractmethod
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from typing import Tuple
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from src.common.logger_manager import get_logger
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logger = get_logger("base_action")
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class BaseAction(ABC):
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"""动作处理基类接口
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所有具体的动作处理类都应该继承这个基类,并实现handle_action方法。
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"""
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def __init__(self, action_name: str, action_data: dict, reasoning: str, cycle_timers: dict, thinking_id: str):
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"""初始化动作处理器
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Args:
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action_name: 动作名称
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action_data: 动作数据
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reasoning: 执行该动作的理由
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cycle_timers: 计时器字典
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thinking_id: 思考ID
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"""
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self.action_name = action_name
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self.action_data = action_data
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self.reasoning = reasoning
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self.cycle_timers = cycle_timers
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self.thinking_id = thinking_id
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@abstractmethod
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async def handle_action(self) -> Tuple[bool, str]:
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"""处理动作的抽象方法,需要被子类实现
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Returns:
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Tuple[bool, str]: (是否执行成功, 回复文本)
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"""
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pass
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168
src/chat/focus_chat/planners/actions/no_reply_action.py
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168
src/chat/focus_chat/planners/actions/no_reply_action.py
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import asyncio
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import traceback
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from src.common.logger_manager import get_logger
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from src.chat.utils.timer_calculator import Timer
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from src.chat.focus_chat.planners.actions.base_action import BaseAction
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from typing import Tuple, List, Callable, Coroutine
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from src.chat.heart_flow.observation.observation import Observation
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from src.chat.heart_flow.observation.chatting_observation import ChattingObservation
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from src.chat.focus_chat.heartFC_Cycleinfo import CycleDetail
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from src.chat.focus_chat.hfc_utils import parse_thinking_id_to_timestamp
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logger = get_logger("action_taken")
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# 常量定义
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WAITING_TIME_THRESHOLD = 300 # 等待新消息时间阈值,单位秒
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CONSECUTIVE_NO_REPLY_THRESHOLD = 3 # 连续不回复的阈值
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class NoReplyAction(BaseAction):
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"""不回复动作处理类
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处理决定不回复的动作。
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"""
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def __init__(
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self,
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action_name: str,
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action_data: dict,
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reasoning: str,
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cycle_timers: dict,
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thinking_id: str,
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observations: List[Observation],
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on_consecutive_no_reply_callback: Callable[[], Coroutine[None, None, None]],
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current_cycle: CycleDetail,
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log_prefix: str,
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total_no_reply_count: int = 0,
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total_waiting_time: float = 0.0,
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shutting_down: bool = False,
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):
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"""初始化不回复动作处理器
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Args:
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action_name: 动作名称
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action_data: 动作数据
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reasoning: 执行该动作的理由
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cycle_timers: 计时器字典
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thinking_id: 思考ID
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observations: 观察列表
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on_consecutive_no_reply_callback: 连续不回复达到阈值时调用的回调函数
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current_cycle: 当前循环信息
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log_prefix: 日志前缀
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total_no_reply_count: 连续不回复计数
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total_waiting_time: 累计等待时间
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shutting_down: 是否正在关闭
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"""
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super().__init__(action_name, action_data, reasoning, cycle_timers, thinking_id)
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self.observations = observations
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self.on_consecutive_no_reply_callback = on_consecutive_no_reply_callback
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self._current_cycle = current_cycle
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self.log_prefix = log_prefix
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self.total_no_reply_count = total_no_reply_count
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self.total_waiting_time = total_waiting_time
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self._shutting_down = shutting_down
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async def handle_action(self) -> Tuple[bool, str]:
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"""
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处理不回复的情况
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工作流程:
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1. 等待新消息、超时或关闭信号
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2. 根据等待结果更新连续不回复计数
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3. 如果达到阈值,触发回调
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Returns:
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Tuple[bool, str]: (是否执行成功, 空字符串)
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"""
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logger.info(f"{self.log_prefix} 决定不回复: {self.reasoning}")
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observation = self.observations[0] if self.observations else None
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try:
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with Timer("等待新消息", self.cycle_timers):
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# 等待新消息、超时或关闭信号,并获取结果
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await self._wait_for_new_message(observation, self.thinking_id, self.log_prefix)
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# 从计时器获取实际等待时间
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current_waiting = self.cycle_timers.get("等待新消息", 0.0)
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if not self._shutting_down:
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self.total_no_reply_count += 1
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self.total_waiting_time += current_waiting # 累加等待时间
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logger.debug(
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f"{self.log_prefix} 连续不回复计数增加: {self.total_no_reply_count}/{CONSECUTIVE_NO_REPLY_THRESHOLD}, "
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f"本次等待: {current_waiting:.2f}秒, 累计等待: {self.total_waiting_time:.2f}秒"
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)
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# 检查是否同时达到次数和时间阈值
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time_threshold = 0.66 * WAITING_TIME_THRESHOLD * CONSECUTIVE_NO_REPLY_THRESHOLD
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if (
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self.total_no_reply_count >= CONSECUTIVE_NO_REPLY_THRESHOLD
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and self.total_waiting_time >= time_threshold
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):
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logger.info(
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f"{self.log_prefix} 连续不回复达到阈值 ({self.total_no_reply_count}次) "
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f"且累计等待时间达到 {self.total_waiting_time:.2f}秒 (阈值 {time_threshold}秒),"
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f"调用回调请求状态转换"
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)
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# 调用回调。注意:这里不重置计数器和时间,依赖回调函数成功改变状态来隐式重置上下文。
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await self.on_consecutive_no_reply_callback()
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elif self.total_no_reply_count >= CONSECUTIVE_NO_REPLY_THRESHOLD:
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# 仅次数达到阈值,但时间未达到
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logger.debug(
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f"{self.log_prefix} 连续不回复次数达到阈值 ({self.total_no_reply_count}次) "
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f"但累计等待时间 {self.total_waiting_time:.2f}秒 未达到时间阈值 ({time_threshold}秒),暂不调用回调"
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)
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# else: 次数和时间都未达到阈值,不做处理
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return True, "" # 不回复动作没有回复文本
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except asyncio.CancelledError:
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logger.info(f"{self.log_prefix} 处理 'no_reply' 时等待被中断 (CancelledError)")
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raise
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except Exception as e: # 捕获调用管理器或其他地方可能发生的错误
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logger.error(f"{self.log_prefix} 处理 'no_reply' 时发生错误: {e}")
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logger.error(traceback.format_exc())
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return False, ""
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async def _wait_for_new_message(self, observation: ChattingObservation, thinking_id: str, log_prefix: str) -> bool:
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"""
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等待新消息 或 检测到关闭信号
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参数:
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observation: 观察实例
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thinking_id: 思考ID
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log_prefix: 日志前缀
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返回:
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bool: 是否检测到新消息 (如果因关闭信号退出则返回 False)
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"""
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wait_start_time = asyncio.get_event_loop().time()
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while True:
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# --- 在每次循环开始时检查关闭标志 ---
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if self._shutting_down:
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logger.info(f"{log_prefix} 等待新消息时检测到关闭信号,中断等待。")
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return False # 表示因为关闭而退出
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# -----------------------------------
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thinking_id_timestamp = parse_thinking_id_to_timestamp(thinking_id)
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# 检查新消息
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if await observation.has_new_messages_since(thinking_id_timestamp):
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logger.info(f"{log_prefix} 检测到新消息")
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return True
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# 检查超时 (放在检查新消息和关闭之后)
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if asyncio.get_event_loop().time() - wait_start_time > WAITING_TIME_THRESHOLD:
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logger.warning(f"{log_prefix} 等待新消息超时({WAITING_TIME_THRESHOLD}秒)")
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return False
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try:
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# 短暂休眠,让其他任务有机会运行,并能更快响应取消或关闭
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await asyncio.sleep(0.5) # 缩短休眠时间
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except asyncio.CancelledError:
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# 如果在休眠时被取消,再次检查关闭标志
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# 如果是正常关闭,则不需要警告
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if not self._shutting_down:
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logger.warning(f"{log_prefix} _wait_for_new_message 的休眠被意外取消")
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# 无论如何,重新抛出异常,让上层处理
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raise
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104
src/chat/focus_chat/planners/actions/reply_action.py
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104
src/chat/focus_chat/planners/actions/reply_action.py
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@@ -0,0 +1,104 @@
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from src.common.logger_manager import get_logger
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from src.chat.heart_flow.observation.chatting_observation import ChattingObservation
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from src.chat.focus_chat.hfc_utils import create_empty_anchor_message
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from src.chat.focus_chat.planners.actions.base_action import BaseAction
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from typing import Tuple, List
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from src.chat.focus_chat.heartFC_Cycleinfo import CycleDetail
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from src.chat.message_receive.chat_stream import ChatStream
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from src.chat.heart_flow.observation.observation import Observation
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from src.chat.focus_chat.expressors.default_expressor import DefaultExpressor
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logger = get_logger("action_taken")
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class ReplyAction(BaseAction):
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"""回复动作处理类
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处理发送回复消息的动作,包括文本和表情。
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"""
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def __init__(
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self,
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action_name: str,
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action_data: dict,
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reasoning: str,
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cycle_timers: dict,
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thinking_id: str,
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observations: List[Observation],
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expressor: DefaultExpressor,
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chat_stream: ChatStream,
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current_cycle: CycleDetail,
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log_prefix: str,
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):
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"""初始化回复动作处理器
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Args:
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action_name: 动作名称
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action_data: 动作数据
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reasoning: 执行该动作的理由
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cycle_timers: 计时器字典
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thinking_id: 思考ID
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observations: 观察列表
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expressor: 表达器
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chat_stream: 聊天流
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current_cycle: 当前循环信息
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log_prefix: 日志前缀
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"""
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super().__init__(action_name, action_data, reasoning, cycle_timers, thinking_id)
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self.observations = observations
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self.expressor = expressor
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self.chat_stream = chat_stream
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self._current_cycle = current_cycle
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self.log_prefix = log_prefix
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self.total_no_reply_count = 0
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self.total_waiting_time = 0.0
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async def handle_action(self) -> Tuple[bool, str]:
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"""
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处理统一的回复动作 - 可包含文本和表情,顺序任意
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reply_data格式:
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{
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"text": "你好啊" # 文本内容列表(可选)
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"target": "锚定消息", # 锚定消息的文本内容
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"emojis": "微笑" # 表情关键词列表(可选)
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}
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Returns:
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Tuple[bool, str]: (是否执行成功, 回复文本)
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"""
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# 重置连续不回复计数器
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self.total_no_reply_count = 0
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self.total_waiting_time = 0.0
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# 从聊天观察获取锚定消息
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observations: ChattingObservation = self.observations[0]
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anchor_message = observations.serch_message_by_text(self.action_data["target"])
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# 如果没有找到锚点消息,创建一个占位符
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if not anchor_message:
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logger.info(f"{self.log_prefix} 未找到锚点消息,创建占位符")
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anchor_message = await create_empty_anchor_message(
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self.chat_stream.platform, self.chat_stream.group_info, self.chat_stream
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)
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else:
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anchor_message.update_chat_stream(self.chat_stream)
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success, reply_set = await self.expressor.deal_reply(
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cycle_timers=self.cycle_timers,
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action_data=self.action_data,
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anchor_message=anchor_message,
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reasoning=self.reasoning,
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thinking_id=self.thinking_id,
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)
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reply_text = ""
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for reply in reply_set:
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type = reply[0]
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data = reply[1]
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if type == "text":
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reply_text += data
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elif type == "emoji":
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reply_text += data
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return success, reply_text
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