735 lines
36 KiB
Python
735 lines
36 KiB
Python
import asyncio
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import time
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import random
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from typing import Dict, Any, Optional, List, Tuple
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import json # 导入 json 模块
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import functools # <-- 新增导入
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# 导入日志模块
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from src.common.logger_manager import get_logger
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# 导入聊天流管理模块
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from src.plugins.chat.chat_stream import chat_manager
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# 导入心流相关类
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from src.heart_flow.sub_heartflow import SubHeartflow, ChatState
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from src.heart_flow.mai_state_manager import MaiStateInfo
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from .observation import ChattingObservation
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# 导入LLM请求工具
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from src.plugins.models.utils_model import LLMRequest
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from src.config.config import global_config
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from src.individuality.individuality import Individuality
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import traceback
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# 初始化日志记录器
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logger = get_logger("subheartflow_manager")
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# 子心流管理相关常量
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INACTIVE_THRESHOLD_SECONDS = 3600 # 子心流不活跃超时时间(秒)
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NORMAL_CHAT_TIMEOUT_SECONDS = 30 * 60 # 30分钟
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class SubHeartflowManager:
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"""管理所有活跃的 SubHeartflow 实例。"""
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def __init__(self, mai_state_info: MaiStateInfo):
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self.subheartflows: Dict[Any, "SubHeartflow"] = {}
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self._lock = asyncio.Lock() # 用于保护 self.subheartflows 的访问
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self.mai_state_info: MaiStateInfo = mai_state_info # 存储传入的 MaiStateInfo 实例
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# 为 LLM 状态评估创建一个 LLMRequest 实例
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# 使用与 Heartflow 相同的模型和参数
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self.llm_state_evaluator = LLMRequest(
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model=global_config.llm_heartflow, # 与 Heartflow 一致
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temperature=0.6, # 与 Heartflow 一致
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max_tokens=1000, # 与 Heartflow 一致 (虽然可能不需要这么多)
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request_type="subheartflow_state_eval", # 保留特定的请求类型
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)
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def get_all_subheartflows(self) -> List["SubHeartflow"]:
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"""获取所有当前管理的 SubHeartflow 实例列表 (快照)。"""
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return list(self.subheartflows.values())
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async def get_or_create_subheartflow(self, subheartflow_id: Any) -> Optional["SubHeartflow"]:
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"""获取或创建指定ID的子心流实例
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Args:
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subheartflow_id: 子心流唯一标识符
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# mai_states 参数已被移除，使用 self.mai_state_info
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Returns:
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成功返回SubHeartflow实例，失败返回None
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"""
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async with self._lock:
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# 检查是否已存在该子心流
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if subheartflow_id in self.subheartflows:
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subflow = self.subheartflows[subheartflow_id]
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if subflow.should_stop:
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logger.warning(f"尝试获取已停止的子心流 {subheartflow_id}，正在重新激活")
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subflow.should_stop = False # 重置停止标志
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subflow.last_active_time = time.time() # 更新活跃时间
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# logger.debug(f"获取到已存在的子心流: {subheartflow_id}")
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return subflow
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try:
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# --- 使用 functools.partial 创建 HFC 回调 --- #
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# 将 manager 的 _handle_hfc_no_reply 方法与当前的 subheartflow_id 绑定
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hfc_callback = functools.partial(self._handle_hfc_no_reply, subheartflow_id)
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# --- 结束创建回调 --- #
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# 初始化子心流, 传入 mai_state_info 和 partial 创建的回调
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new_subflow = SubHeartflow(
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subheartflow_id,
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self.mai_state_info,
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hfc_callback, # <-- 传递 partial 创建的回调
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)
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# 异步初始化
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await new_subflow.initialize()
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# 添加聊天观察者
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observation = ChattingObservation(chat_id=subheartflow_id)
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new_subflow.add_observation(observation)
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# 注册子心流
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self.subheartflows[subheartflow_id] = new_subflow
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heartflow_name = chat_manager.get_stream_name(subheartflow_id) or subheartflow_id
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logger.info(f"[{heartflow_name}] 开始接收消息")
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# 启动后台任务
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asyncio.create_task(new_subflow.subheartflow_start_working())
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return new_subflow
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except Exception as e:
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logger.error(f"创建子心流 {subheartflow_id} 失败: {e}", exc_info=True)
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return None
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# --- 新增：内部方法，用于尝试将单个子心流设置为 ABSENT ---
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async def _try_set_subflow_absent_internal(self, subflow: "SubHeartflow", log_prefix: str) -> bool:
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"""
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尝试将给定的子心流对象状态设置为 ABSENT (内部方法，不处理锁)。
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Args:
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subflow: 子心流对象。
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log_prefix: 用于日志记录的前缀 (例如 "[子心流管理]" 或 "[停用]")。
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Returns:
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bool: 如果状态成功变为 ABSENT 或原本就是 ABSENT，返回 True；否则返回 False。
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"""
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flow_id = subflow.subheartflow_id
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stream_name = chat_manager.get_stream_name(flow_id) or flow_id
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if subflow.chat_state.chat_status != ChatState.ABSENT:
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logger.debug(f"{log_prefix} 设置 {stream_name} 状态为 ABSENT")
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try:
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await subflow.change_chat_state(ChatState.ABSENT)
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# 再次检查以确认状态已更改 (change_chat_state 内部应确保)
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if subflow.chat_state.chat_status == ChatState.ABSENT:
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return True
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else:
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logger.warning(
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f"{log_prefix} 调用 change_chat_state 后，{stream_name} 状态仍为 {subflow.chat_state.chat_status.value}"
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)
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return False
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except Exception as e:
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logger.error(f"{log_prefix} 设置 {stream_name} 状态为 ABSENT 时失败: {e}", exc_info=True)
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return False
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else:
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logger.debug(f"{log_prefix} {stream_name} 已是 ABSENT 状态")
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return True # 已经是目标状态，视为成功
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# --- 结束新增 ---
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async def sleep_subheartflow(self, subheartflow_id: Any, reason: str) -> bool:
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"""停止指定的子心流并将其状态设置为 ABSENT"""
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log_prefix = "[子心流管理]"
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async with self._lock: # 加锁以安全访问字典
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subheartflow = self.subheartflows.get(subheartflow_id)
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stream_name = chat_manager.get_stream_name(subheartflow_id) or subheartflow_id
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logger.info(f"{log_prefix} 正在停止 {stream_name}, 原因: {reason}")
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# 调用内部方法处理状态变更
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success = await self._try_set_subflow_absent_internal(subheartflow, log_prefix)
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return success
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# 锁在此处自动释放
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def get_inactive_subheartflows(self, max_age_seconds=INACTIVE_THRESHOLD_SECONDS):
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"""识别并返回需要清理的不活跃(处于ABSENT状态超过一小时)子心流(id, 原因)"""
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current_time = time.time()
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flows_to_stop = []
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for subheartflow_id, subheartflow in list(self.subheartflows.items()):
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state = subheartflow.chat_state.chat_status
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if state != ChatState.ABSENT:
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continue
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subheartflow.update_last_chat_state_time()
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absent_last_time = subheartflow.chat_state_last_time
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if max_age_seconds and (current_time - absent_last_time) > max_age_seconds:
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flows_to_stop.append(subheartflow_id)
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return flows_to_stop
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async def enforce_subheartflow_limits(self):
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"""根据主状态限制停止超额子心流(优先停不活跃的)"""
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# 使用 self.mai_state_info 获取当前状态和限制
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current_mai_state = self.mai_state_info.get_current_state()
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normal_limit = current_mai_state.get_normal_chat_max_num()
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focused_limit = current_mai_state.get_focused_chat_max_num()
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logger.debug(f"[限制] 状态:{current_mai_state.value}, 普通限:{normal_limit}, 专注限:{focused_limit}")
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# 分类统计当前子心流
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normal_flows = []
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focused_flows = []
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for flow_id, flow in list(self.subheartflows.items()):
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if flow.chat_state.chat_status == ChatState.CHAT:
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normal_flows.append((flow_id, getattr(flow, "last_active_time", 0)))
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elif flow.chat_state.chat_status == ChatState.FOCUSED:
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focused_flows.append((flow_id, getattr(flow, "last_active_time", 0)))
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logger.debug(f"[限制] 当前数量 - 普通:{len(normal_flows)}, 专注:{len(focused_flows)}")
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stopped = 0
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# 处理普通聊天超额
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if len(normal_flows) > normal_limit:
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excess = len(normal_flows) - normal_limit
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logger.info(f"[限制] 普通聊天超额({len(normal_flows)}>{normal_limit}), 停止{excess}个")
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normal_flows.sort(key=lambda x: x[1])
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for flow_id, _ in normal_flows[:excess]:
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if await self.sleep_subheartflow(flow_id, f"普通聊天超额(限{normal_limit})"):
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stopped += 1
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# 处理专注聊天超额(需重新统计)
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focused_flows = [
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(fid, t)
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for fid, f in list(self.subheartflows.items())
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if (t := getattr(f, "last_active_time", 0)) and f.chat_state.chat_status == ChatState.FOCUSED
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]
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if len(focused_flows) > focused_limit:
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excess = len(focused_flows) - focused_limit
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logger.info(f"[限制] 专注聊天超额({len(focused_flows)}>{focused_limit}), 停止{excess}个")
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focused_flows.sort(key=lambda x: x[1])
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for flow_id, _ in focused_flows[:excess]:
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if await self.sleep_subheartflow(flow_id, f"专注聊天超额(限{focused_limit})"):
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stopped += 1
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if stopped:
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logger.info(f"[限制] 已停止{stopped}个子心流, 剩余:{len(self.subheartflows)}")
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else:
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logger.debug(f"[限制] 无需停止, 当前总数:{len(self.subheartflows)}")
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async def deactivate_all_subflows(self):
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"""将所有子心流的状态更改为 ABSENT (例如主状态变为OFFLINE时调用)"""
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log_prefix = "[停用]"
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changed_count = 0
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processed_count = 0
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async with self._lock: # 获取锁以安全迭代
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# 使用 list() 创建一个当前值的快照，防止在迭代时修改字典
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flows_to_update = list(self.subheartflows.values())
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processed_count = len(flows_to_update)
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if not flows_to_update:
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logger.debug(f"{log_prefix} 无活跃子心流，无需操作")
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return
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for subflow in flows_to_update:
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# 记录原始状态，以便统计实际改变的数量
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original_state_was_absent = subflow.chat_state.chat_status == ChatState.ABSENT
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success = await self._try_set_subflow_absent_internal(subflow, log_prefix)
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# 如果成功设置为 ABSENT 且原始状态不是 ABSENT，则计数
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if success and not original_state_was_absent:
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if subflow.chat_state.chat_status == ChatState.ABSENT:
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changed_count += 1
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else:
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# 这种情况理论上不应发生，如果内部方法返回 True 的话
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stream_name = chat_manager.get_stream_name(subflow.subheartflow_id) or subflow.subheartflow_id
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logger.warning(f"{log_prefix} 内部方法声称成功但 {stream_name} 状态未变为 ABSENT。")
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# 锁在此处自动释放
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logger.info(
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f"{log_prefix} 完成，共处理 {processed_count} 个子心流，成功将 {changed_count} 个非 ABSENT 子心流的状态更改为 ABSENT。"
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)
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async def sbhf_absent_into_focus(self):
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"""评估子心流兴趣度，满足条件且未达上限则提升到FOCUSED状态（基于start_hfc_probability）"""
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try:
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log_prefix = "[兴趣评估]"
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# 使用 self.mai_state_info 获取当前状态和限制
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current_state = self.mai_state_info.get_current_state()
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focused_limit = current_state.get_focused_chat_max_num()
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# --- 新增：检查是否允许进入 FOCUS 模式 --- #
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if not global_config.allow_focus_mode:
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if int(time.time()) % 60 == 0: # 每60秒输出一次日志避免刷屏
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logger.debug(f"{log_prefix} 配置不允许进入 FOCUSED 状态 (allow_focus_mode=False)")
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return # 如果不允许，直接返回
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# --- 结束新增 ---
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logger.debug(f"{log_prefix} 当前状态 ({current_state.value}) 可以在{focused_limit}个群激情聊天")
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if focused_limit <= 0:
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# logger.debug(f"{log_prefix} 当前状态 ({current_state.value}) 不允许 FOCUSED 子心流")
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return
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current_focused_count = self.count_subflows_by_state(ChatState.FOCUSED)
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if current_focused_count >= focused_limit:
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logger.debug(f"{log_prefix} 已达专注上限 ({current_focused_count}/{focused_limit})")
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return
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for sub_hf in list(self.subheartflows.values()):
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flow_id = sub_hf.subheartflow_id
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stream_name = chat_manager.get_stream_name(flow_id) or flow_id
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logger.debug(f"{log_prefix} 检查子心流: {stream_name}，现在状态: {sub_hf.chat_state.chat_status.value}")
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# 跳过非CHAT状态或已经是FOCUSED状态的子心流
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if sub_hf.chat_state.chat_status == ChatState.FOCUSED:
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continue
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from .mai_state_manager import enable_unlimited_hfc_chat
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if not enable_unlimited_hfc_chat:
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if sub_hf.chat_state.chat_status != ChatState.CHAT:
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continue
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# 检查是否满足提升概率
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logger.debug(
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f"{log_prefix} 检查子心流: {stream_name}，现在概率: {sub_hf.interest_chatting.start_hfc_probability}"
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)
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if random.random() >= sub_hf.interest_chatting.start_hfc_probability:
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continue
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# 再次检查是否达到上限
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if current_focused_count >= focused_limit:
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logger.debug(f"{log_prefix} [{stream_name}] 已达专注上限")
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break
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# 获取最新状态并执行提升
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current_subflow = self.subheartflows.get(flow_id)
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if not current_subflow:
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continue
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logger.info(
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f"{log_prefix} [{stream_name}] 触发 认真水群 (概率={current_subflow.interest_chatting.start_hfc_probability:.2f})"
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)
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# 执行状态提升
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await current_subflow.change_chat_state(ChatState.FOCUSED)
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# 验证提升结果
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if (
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final_subflow := self.subheartflows.get(flow_id)
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) and final_subflow.chat_state.chat_status == ChatState.FOCUSED:
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current_focused_count += 1
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except Exception as e:
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logger.error(f"启动HFC 兴趣评估失败: {e}", exc_info=True)
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async def sbhf_absent_into_chat(self):
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"""
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随机选一个 ABSENT 状态的子心流，评估是否应转换为 CHAT 状态。
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每次调用最多转换一个。
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"""
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current_mai_state = self.mai_state_info.get_current_state()
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chat_limit = current_mai_state.get_normal_chat_max_num()
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async with self._lock:
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# 1. 筛选出所有 ABSENT 状态的子心流
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absent_subflows = [
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hf for hf in self.subheartflows.values() if hf.chat_state.chat_status == ChatState.ABSENT
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]
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if not absent_subflows:
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logger.debug("没有摸鱼的子心流可以评估。") # 日志太频繁，注释掉
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return # 没有目标，直接返回
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# 2. 随机选一个幸运儿
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sub_hf_to_evaluate = random.choice(absent_subflows)
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flow_id = sub_hf_to_evaluate.subheartflow_id
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stream_name = chat_manager.get_stream_name(flow_id) or flow_id
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log_prefix = f"[{stream_name}]"
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# 3. 检查 CHAT 上限
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current_chat_count = self.count_subflows_by_state_nolock(ChatState.CHAT)
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if current_chat_count >= chat_limit:
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logger.info(
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f"{log_prefix} 想看看能不能聊，但是聊天太多了， ({current_chat_count}/{chat_limit}) 满了。"
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)
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return # 满了，这次就算了
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# --- 获取 FOCUSED 计数 ---
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current_focused_count = self.count_subflows_by_state_nolock(ChatState.FOCUSED)
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focused_limit = current_mai_state.get_focused_chat_max_num()
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# --- 新增：获取聊天和专注群名 ---
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chatting_group_names = []
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focused_group_names = []
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for flow_id, hf in self.subheartflows.items():
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stream_name = chat_manager.get_stream_name(flow_id) or str(flow_id) # 保证有名字
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if hf.chat_state.chat_status == ChatState.CHAT:
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chatting_group_names.append(stream_name)
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elif hf.chat_state.chat_status == ChatState.FOCUSED:
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focused_group_names.append(stream_name)
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# --- 结束新增 ---
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# --- 获取观察信息和构建 Prompt ---
|
||
first_observation = sub_hf_to_evaluate.observations[0] # 喵~第一个观察者肯定存在的说
|
||
await first_observation.observe()
|
||
current_chat_log = first_observation.talking_message_str or "当前没啥聊天内容。"
|
||
_observation_summary = f"最近聊了这些:\n{current_chat_log}"
|
||
|
||
mai_state_description = f"你当前状态: {current_mai_state.value}。"
|
||
individuality = Individuality.get_instance()
|
||
personality_prompt = individuality.get_prompt(x_person=2, level=2)
|
||
prompt_personality = f"你正在扮演名为{individuality.name}的人类，{personality_prompt}"
|
||
|
||
# --- 修改：在 prompt 中加入当前聊天计数和群名信息 (条件显示) ---
|
||
chat_status_lines = []
|
||
if chatting_group_names:
|
||
chat_status_lines.append(
|
||
f"正在闲聊 ({current_chat_count}/{chat_limit}): {', '.join(chatting_group_names)}"
|
||
)
|
||
if focused_group_names:
|
||
chat_status_lines.append(
|
||
f"正在专注 ({current_focused_count}/{focused_limit}): {', '.join(focused_group_names)}"
|
||
)
|
||
|
||
chat_status_prompt = "当前没有在任何群聊中。" # 默认消息喵~
|
||
if chat_status_lines:
|
||
chat_status_prompt = "当前聊天情况：\n" + "\n".join(chat_status_lines) # 拼接状态信息
|
||
|
||
prompt = (
|
||
f"{prompt_personality}\\n"
|
||
f"你当前没在 [{stream_name}] 群聊天。\\n"
|
||
f"{mai_state_description}\\n"
|
||
f"{chat_status_prompt}\\n" # <-- 喵！用了新的状态信息~
|
||
f"{_observation_summary}\\n---\\n"
|
||
f"基于以上信息，你想不想开始在这个群闲聊？\\n"
|
||
f"请说明理由，并以 JSON 格式回答，包含 'decision' (布尔值) 和 'reason' (字符串)。\\n"
|
||
f'例如：{{"decision": true, "reason": "看起来挺热闹的，插个话"}}\\n'
|
||
f'例如：{{"decision": false, "reason": "已经聊了好多，休息一下"}}\\n'
|
||
f"请只输出有效的 JSON 对象。"
|
||
)
|
||
# --- 结束修改 ---
|
||
|
||
# --- 4. LLM 评估是否想聊 ---
|
||
yao_kai_shi_liao_ma, reason = await self._llm_evaluate_state_transition(prompt)
|
||
|
||
if reason:
|
||
if yao_kai_shi_liao_ma:
|
||
logger.info(f"{log_prefix} 打算开始聊，原因是: {reason}")
|
||
else:
|
||
logger.info(f"{log_prefix} 不打算聊，原因是: {reason}")
|
||
else:
|
||
logger.info(f"{log_prefix} 结果: {yao_kai_shi_liao_ma}")
|
||
|
||
if yao_kai_shi_liao_ma is None:
|
||
logger.debug(f"{log_prefix} 问AI想不想聊失败了，这次算了。")
|
||
return # 评估失败，结束
|
||
|
||
if not yao_kai_shi_liao_ma:
|
||
# logger.info(f"{log_prefix} 现在不想聊这个群。")
|
||
return # 不想聊，结束
|
||
|
||
# --- 5. AI想聊，再次检查额度并尝试转换 ---
|
||
# 再次检查以防万一
|
||
current_chat_count_before_change = self.count_subflows_by_state_nolock(ChatState.CHAT)
|
||
if current_chat_count_before_change < chat_limit:
|
||
logger.info(
|
||
f"{log_prefix} 想聊，而且还有精力 ({current_chat_count_before_change}/{chat_limit})，这就去聊！"
|
||
)
|
||
await sub_hf_to_evaluate.change_chat_state(ChatState.CHAT)
|
||
# 确认转换成功
|
||
if sub_hf_to_evaluate.chat_state.chat_status == ChatState.CHAT:
|
||
logger.debug(f"{log_prefix} 成功进入聊天状态！本次评估圆满结束。")
|
||
else:
|
||
logger.warning(
|
||
f"{log_prefix} 奇怪，尝试进入聊天状态失败了。当前状态: {sub_hf_to_evaluate.chat_state.chat_status.value}"
|
||
)
|
||
else:
|
||
logger.warning(
|
||
f"{log_prefix} AI说想聊，但是刚问完就没空位了 ({current_chat_count_before_change}/{chat_limit})。真不巧，下次再说吧。"
|
||
)
|
||
# 无论转换成功与否，本次评估都结束了
|
||
|
||
# 锁在这里自动释放
|
||
|
||
# --- 新增：单独检查 CHAT 状态超时的任务 ---
|
||
async def sbhf_chat_into_absent(self):
|
||
"""定期检查处于 CHAT 状态的子心流是否因长时间未发言而超时，并将其转为 ABSENT。"""
|
||
log_prefix_task = "[聊天超时检查]"
|
||
transitioned_to_absent = 0
|
||
checked_count = 0
|
||
|
||
async with self._lock:
|
||
subflows_snapshot = list(self.subheartflows.values())
|
||
checked_count = len(subflows_snapshot)
|
||
|
||
if not subflows_snapshot:
|
||
# logger.debug(f"{log_prefix_task} 没有子心流需要检查超时。")
|
||
return
|
||
|
||
for sub_hf in subflows_snapshot:
|
||
# 只检查 CHAT 状态的子心流
|
||
if sub_hf.chat_state.chat_status != ChatState.CHAT:
|
||
continue
|
||
|
||
flow_id = sub_hf.subheartflow_id
|
||
stream_name = chat_manager.get_stream_name(flow_id) or flow_id
|
||
log_prefix = f"[{stream_name}]({log_prefix_task})"
|
||
|
||
should_deactivate = False
|
||
reason = ""
|
||
|
||
try:
|
||
# 使用变量名 last_bot_dong_zuo_time 替代 last_bot_activity_time
|
||
last_bot_dong_zuo_time = sub_hf.get_normal_chat_last_speak_time()
|
||
|
||
if last_bot_dong_zuo_time > 0:
|
||
current_time = time.time()
|
||
# 使用变量名 time_since_last_bb 替代 time_since_last_reply
|
||
time_since_last_bb = current_time - last_bot_dong_zuo_time
|
||
|
||
if time_since_last_bb > NORMAL_CHAT_TIMEOUT_SECONDS:
|
||
should_deactivate = True
|
||
reason = f"超过 {NORMAL_CHAT_TIMEOUT_SECONDS / 60:.0f} 分钟没 BB"
|
||
logger.info(
|
||
f"{log_prefix} 太久没有发言 ({reason})，不看了。上次活动时间: {last_bot_dong_zuo_time:.0f}"
|
||
)
|
||
# else:
|
||
# logger.debug(f"{log_prefix} Bot活动时间未超时 ({time_since_last_bb:.0f}s < {NORMAL_CHAT_TIMEOUT_SECONDS}s)，保持 CHAT 状态。")
|
||
# else:
|
||
# 如果没有记录到Bot的活动时间，暂时不因为超时而转换状态
|
||
# logger.debug(f"{log_prefix} 未找到有效的 Bot 最后活动时间记录，不执行超时检查。")
|
||
|
||
except AttributeError:
|
||
logger.error(
|
||
f"{log_prefix} 无法获取 Bot 最后 BB 时间，请确保 SubHeartflow 相关实现正确。跳过超时检查。"
|
||
)
|
||
except Exception as e:
|
||
logger.error(f"{log_prefix} 检查 Bot 超时状态时出错: {e}", exc_info=True)
|
||
|
||
# --- 执行状态转换（如果超时） ---
|
||
if should_deactivate:
|
||
logger.debug(f"{log_prefix} 因超时 ({reason})，尝试转换为 ABSENT 状态。")
|
||
await sub_hf.change_chat_state(ChatState.ABSENT)
|
||
# 再次检查确保状态已改变
|
||
if sub_hf.chat_state.chat_status == ChatState.ABSENT:
|
||
transitioned_to_absent += 1
|
||
logger.info(f"{log_prefix} 不看了。")
|
||
else:
|
||
logger.warning(f"{log_prefix} 尝试因超时转换为 ABSENT 失败。")
|
||
|
||
if transitioned_to_absent > 0:
|
||
logger.debug(
|
||
f"{log_prefix_task} 完成，共检查 {checked_count} 个子心流，{transitioned_to_absent} 个因超时转为 ABSENT。"
|
||
)
|
||
|
||
|
||
# --- 结束新增 ---
|
||
|
||
async def _llm_evaluate_state_transition(self, prompt: str) -> Tuple[Optional[bool], Optional[str]]:
|
||
"""
|
||
使用 LLM 评估是否应进行状态转换，期望 LLM 返回 JSON 格式。
|
||
|
||
Args:
|
||
prompt: 提供给 LLM 的提示信息，要求返回 {"decision": true/false}。
|
||
|
||
Returns:
|
||
Optional[bool]: 如果成功解析 LLM 的 JSON 响应并提取了 'decision' 键的值，则返回该布尔值。
|
||
如果 LLM 调用失败、返回无效 JSON 或 JSON 中缺少 'decision' 键或其值不是布尔型，则返回 None。
|
||
"""
|
||
log_prefix = "[LLM状态评估]"
|
||
try:
|
||
# --- 真实的 LLM 调用 ---
|
||
response_text, _ = await self.llm_state_evaluator.generate_response_async(prompt)
|
||
# logger.debug(f"{log_prefix} 使用模型 {self.llm_state_evaluator.model_name} 评估")
|
||
logger.debug(f"{log_prefix} 原始输入: {prompt}")
|
||
logger.debug(f"{log_prefix} 原始评估结果: {response_text}")
|
||
|
||
# --- 解析 JSON 响应 ---
|
||
try:
|
||
# 尝试去除可能的Markdown代码块标记
|
||
cleaned_response = response_text.strip().strip("`").strip()
|
||
if cleaned_response.startswith("json"):
|
||
cleaned_response = cleaned_response[4:].strip()
|
||
|
||
data = json.loads(cleaned_response)
|
||
decision = data.get("decision") # 使用 .get() 避免 KeyError
|
||
reason = data.get("reason")
|
||
|
||
if isinstance(decision, bool):
|
||
logger.debug(f"{log_prefix} LLM评估结果 (来自JSON): {'建议转换' if decision else '建议不转换'}")
|
||
|
||
return decision , reason
|
||
else:
|
||
logger.warning(
|
||
f"{log_prefix} LLM 返回的 JSON 中 'decision' 键的值不是布尔型: {decision}。响应: {response_text}"
|
||
)
|
||
return None, None # 值类型不正确
|
||
|
||
except json.JSONDecodeError as json_err:
|
||
logger.warning(f"{log_prefix} LLM 返回的响应不是有效的 JSON: {json_err}。响应: {response_text}")
|
||
# 尝试在非JSON响应中查找关键词作为后备方案 (可选)
|
||
if "true" in response_text.lower():
|
||
logger.debug(f"{log_prefix} 在非JSON响应中找到 'true'，解释为建议转换")
|
||
return True, None
|
||
if "false" in response_text.lower():
|
||
logger.debug(f"{log_prefix} 在非JSON响应中找到 'false'，解释为建议不转换")
|
||
return False, None
|
||
return None, None # JSON 解析失败，也未找到关键词
|
||
except Exception as parse_err: # 捕获其他可能的解析错误
|
||
logger.warning(f"{log_prefix} 解析 LLM JSON 响应时发生意外错误: {parse_err}。响应: {response_text}")
|
||
return None, None
|
||
|
||
except Exception as e:
|
||
logger.error(f"{log_prefix} 调用 LLM 或处理其响应时出错: {e}", exc_info=True)
|
||
traceback.print_exc()
|
||
return None, None # LLM 调用或处理失败
|
||
|
||
def count_subflows_by_state(self, state: ChatState) -> int:
|
||
"""统计指定状态的子心流数量"""
|
||
count = 0
|
||
# 遍历所有子心流实例
|
||
for subheartflow in self.subheartflows.values():
|
||
# 检查子心流状态是否匹配
|
||
if subheartflow.chat_state.chat_status == state:
|
||
count += 1
|
||
return count
|
||
|
||
def count_subflows_by_state_nolock(self, state: ChatState) -> int:
|
||
"""
|
||
统计指定状态的子心流数量 (不上锁版本)。
|
||
警告：仅应在已持有 self._lock 的上下文中使用此方法。
|
||
"""
|
||
count = 0
|
||
for subheartflow in self.subheartflows.values():
|
||
if subheartflow.chat_state.chat_status == state:
|
||
count += 1
|
||
return count
|
||
|
||
def get_active_subflow_minds(self) -> List[str]:
|
||
"""获取所有活跃(非ABSENT)子心流的当前想法"""
|
||
minds = []
|
||
for subheartflow in self.subheartflows.values():
|
||
# 检查子心流是否活跃(非ABSENT状态)
|
||
if subheartflow.chat_state.chat_status != ChatState.ABSENT:
|
||
minds.append(subheartflow.sub_mind.current_mind)
|
||
return minds
|
||
|
||
def update_main_mind_in_subflows(self, main_mind: str):
|
||
"""更新所有子心流的主心流想法"""
|
||
updated_count = sum(
|
||
1
|
||
for _, subheartflow in list(self.subheartflows.items())
|
||
if subheartflow.subheartflow_id in self.subheartflows
|
||
)
|
||
logger.debug(f"[子心流管理器] 更新了{updated_count}个子心流的主想法")
|
||
|
||
async def delete_subflow(self, subheartflow_id: Any):
|
||
"""删除指定的子心流。"""
|
||
async with self._lock:
|
||
subflow = self.subheartflows.pop(subheartflow_id, None)
|
||
if subflow:
|
||
logger.info(f"正在删除 SubHeartflow: {subheartflow_id}...")
|
||
try:
|
||
# 调用 shutdown 方法确保资源释放
|
||
await subflow.shutdown()
|
||
logger.info(f"SubHeartflow {subheartflow_id} 已成功删除。")
|
||
except Exception as e:
|
||
logger.error(f"删除 SubHeartflow {subheartflow_id} 时出错: {e}", exc_info=True)
|
||
else:
|
||
logger.warning(f"尝试删除不存在的 SubHeartflow: {subheartflow_id}")
|
||
|
||
# --- 新增：处理 HFC 无回复回调的专用方法 --- #
|
||
async def _handle_hfc_no_reply(self, subheartflow_id: Any):
|
||
"""处理来自 HeartFChatting 的连续无回复信号 (通过 partial 绑定 ID)"""
|
||
# 注意：这里不需要再获取锁，因为 sbhf_focus_into_absent 内部会处理锁
|
||
logger.debug(f"[管理器 HFC 处理器] 接收到来自 {subheartflow_id} 的 HFC 无回复信号")
|
||
await self.sbhf_focus_into_absent(subheartflow_id)
|
||
|
||
# --- 结束新增 --- #
|
||
|
||
# --- 新增：处理来自 HeartFChatting 的状态转换请求 --- #
|
||
async def sbhf_focus_into_absent(self, subflow_id: Any):
|
||
"""
|
||
接收来自 HeartFChatting 的请求，将特定子心流的状态转换为 ABSENT。
|
||
通常在连续多次 "no_reply" 后被调用。
|
||
|
||
Args:
|
||
subflow_id: 需要转换状态的子心流 ID。
|
||
"""
|
||
async with self._lock:
|
||
subflow = self.subheartflows.get(subflow_id)
|
||
if not subflow:
|
||
logger.warning(f"[状态转换请求] 尝试转换不存在的子心流 {subflow_id} 到 ABSENT")
|
||
return
|
||
|
||
stream_name = chat_manager.get_stream_name(subflow_id) or subflow_id
|
||
current_state = subflow.chat_state.chat_status
|
||
|
||
# 仅当子心流处于 FOCUSED 状态时才进行转换
|
||
# 因为 HeartFChatting 只在 FOCUSED 状态下运行
|
||
if current_state == ChatState.FOCUSED:
|
||
target_state = ChatState.ABSENT # 默认目标状态
|
||
log_reason = "默认转换"
|
||
|
||
# 决定是去 ABSENT 还是 CHAT
|
||
if random.random() < 0.5:
|
||
target_state = ChatState.ABSENT
|
||
log_reason = "随机选择 ABSENT"
|
||
logger.debug(f"[状态转换请求] {stream_name} ({current_state.value}) 随机决定进入 ABSENT")
|
||
else:
|
||
# 尝试进入 CHAT，先检查限制
|
||
current_mai_state = self.mai_state_info.get_current_state()
|
||
chat_limit = current_mai_state.get_normal_chat_max_num()
|
||
# 使用不上锁的版本，因为我们已经在锁内
|
||
current_chat_count = self.count_subflows_by_state_nolock(ChatState.CHAT)
|
||
|
||
if current_chat_count < chat_limit:
|
||
target_state = ChatState.CHAT
|
||
log_reason = f"随机选择 CHAT (当前 {current_chat_count}/{chat_limit})"
|
||
logger.debug(
|
||
f"[状态转换请求] {stream_name} ({current_state.value}) 随机决定进入 CHAT，未达上限 ({current_chat_count}/{chat_limit})"
|
||
)
|
||
else:
|
||
target_state = ChatState.ABSENT
|
||
log_reason = f"随机选择 CHAT 但已达上限 ({current_chat_count}/{chat_limit})，转为 ABSENT"
|
||
logger.debug(
|
||
f"[状态转换请求] {stream_name} ({current_state.value}) 随机决定进入 CHAT，但已达上限 ({current_chat_count}/{chat_limit})，改为进入 ABSENT"
|
||
)
|
||
|
||
# 开始转换
|
||
logger.info(
|
||
f"[状态转换请求] 接收到请求，将 {stream_name} (当前: {current_state.value}) 尝试转换为 {target_state.value} ({log_reason})"
|
||
)
|
||
try:
|
||
await subflow.change_chat_state(target_state)
|
||
# 检查最终状态
|
||
final_state = subflow.chat_state.chat_status
|
||
if final_state == target_state:
|
||
logger.debug(f"[状态转换请求] {stream_name} 状态已成功转换为 {final_state.value}")
|
||
else:
|
||
logger.warning(
|
||
f"[状态转换请求] 尝试将 {stream_name} 转换为 {target_state.value} 后，状态实际为 {final_state.value}"
|
||
)
|
||
except Exception as e:
|
||
logger.error(
|
||
f"[状态转换请求] 转换 {stream_name} 到 {target_state.value} 时出错: {e}", exc_info=True
|
||
)
|
||
elif current_state == ChatState.ABSENT:
|
||
logger.debug(f"[状态转换请求] {stream_name} 已处于 ABSENT 状态，无需转换")
|
||
else:
|
||
logger.warning(
|
||
f"[状态转换请求] 收到对 {stream_name} 的请求，但其状态为 {current_state.value} (非 FOCUSED)，不执行转换"
|
||
)
|
||
|
||
# --- 结束新增 --- #
|