623 lines
30 KiB
Python
623 lines
30 KiB
Python
import asyncio
|
||
import time
|
||
import random
|
||
from typing import Dict, Any, Optional, List
|
||
import json # 导入 json 模块
|
||
import functools # <-- 新增导入
|
||
|
||
# 导入日志模块
|
||
from src.common.logger_manager import get_logger
|
||
|
||
# 导入聊天流管理模块
|
||
from src.plugins.chat.chat_stream import chat_manager
|
||
|
||
# 导入心流相关类
|
||
from src.heart_flow.sub_heartflow import SubHeartflow, ChatState
|
||
from src.heart_flow.mai_state_manager import MaiStateInfo
|
||
from .observation import ChattingObservation
|
||
|
||
# 导入LLM请求工具
|
||
from src.plugins.models.utils_model import LLMRequest
|
||
from src.config.config import global_config
|
||
from src.individuality.individuality import Individuality
|
||
import traceback
|
||
|
||
|
||
# 初始化日志记录器
|
||
|
||
logger = get_logger("subheartflow_manager")
|
||
|
||
# 子心流管理相关常量
|
||
INACTIVE_THRESHOLD_SECONDS = 3600 # 子心流不活跃超时时间(秒)
|
||
|
||
|
||
class SubHeartflowManager:
|
||
"""管理所有活跃的 SubHeartflow 实例。"""
|
||
|
||
def __init__(self, mai_state_info: MaiStateInfo):
|
||
self.subheartflows: Dict[Any, "SubHeartflow"] = {}
|
||
self._lock = asyncio.Lock() # 用于保护 self.subheartflows 的访问
|
||
self.mai_state_info: MaiStateInfo = mai_state_info # 存储传入的 MaiStateInfo 实例
|
||
|
||
# 为 LLM 状态评估创建一个 LLMRequest 实例
|
||
# 使用与 Heartflow 相同的模型和参数
|
||
self.llm_state_evaluator = LLMRequest(
|
||
model=global_config.llm_heartflow, # 与 Heartflow 一致
|
||
temperature=0.6, # 与 Heartflow 一致
|
||
max_tokens=1000, # 与 Heartflow 一致 (虽然可能不需要这么多)
|
||
request_type="subheartflow_state_eval", # 保留特定的请求类型
|
||
)
|
||
|
||
def get_all_subheartflows(self) -> List["SubHeartflow"]:
|
||
"""获取所有当前管理的 SubHeartflow 实例列表 (快照)。"""
|
||
return list(self.subheartflows.values())
|
||
|
||
async def get_or_create_subheartflow(self, subheartflow_id: Any) -> Optional["SubHeartflow"]:
|
||
"""获取或创建指定ID的子心流实例
|
||
|
||
Args:
|
||
subheartflow_id: 子心流唯一标识符
|
||
# mai_states 参数已被移除，使用 self.mai_state_info
|
||
|
||
Returns:
|
||
成功返回SubHeartflow实例，失败返回None
|
||
"""
|
||
async with self._lock:
|
||
# 检查是否已存在该子心流
|
||
if subheartflow_id in self.subheartflows:
|
||
subflow = self.subheartflows[subheartflow_id]
|
||
if subflow.should_stop:
|
||
logger.warning(f"尝试获取已停止的子心流 {subheartflow_id}，正在重新激活")
|
||
subflow.should_stop = False # 重置停止标志
|
||
|
||
subflow.last_active_time = time.time() # 更新活跃时间
|
||
# logger.debug(f"获取到已存在的子心流: {subheartflow_id}")
|
||
return subflow
|
||
|
||
try:
|
||
# --- 使用 functools.partial 创建 HFC 回调 --- #
|
||
# 将 manager 的 _handle_hfc_no_reply 方法与当前的 subheartflow_id 绑定
|
||
hfc_callback = functools.partial(self._handle_hfc_no_reply, subheartflow_id)
|
||
# --- 结束创建回调 --- #
|
||
|
||
# 初始化子心流, 传入 mai_state_info 和 partial 创建的回调
|
||
new_subflow = SubHeartflow(
|
||
subheartflow_id,
|
||
self.mai_state_info,
|
||
hfc_callback, # <-- 传递 partial 创建的回调
|
||
)
|
||
|
||
# 异步初始化
|
||
await new_subflow.initialize()
|
||
|
||
# 添加聊天观察者
|
||
observation = ChattingObservation(chat_id=subheartflow_id)
|
||
new_subflow.add_observation(observation)
|
||
|
||
# 注册子心流
|
||
self.subheartflows[subheartflow_id] = new_subflow
|
||
heartflow_name = chat_manager.get_stream_name(subheartflow_id) or subheartflow_id
|
||
logger.info(f"[{heartflow_name}] 开始接收消息")
|
||
|
||
# 启动后台任务
|
||
asyncio.create_task(new_subflow.subheartflow_start_working())
|
||
|
||
return new_subflow
|
||
except Exception as e:
|
||
logger.error(f"创建子心流 {subheartflow_id} 失败: {e}", exc_info=True)
|
||
return None
|
||
|
||
# --- 新增：内部方法，用于尝试将单个子心流设置为 ABSENT ---
|
||
async def _try_set_subflow_absent_internal(self, subflow: "SubHeartflow", log_prefix: str) -> bool:
|
||
"""
|
||
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)。
|
||
|
||
Args:
|
||
subflow: 子心流对象。
|
||
log_prefix: 用于日志记录的前缀 (例如 "[子心流管理]" 或 "[停用]")。
|
||
|
||
Returns:
|
||
bool: 如果状态成功变为 ABSENT 或原本就是 ABSENT，返回 True；否则返回 False。
|
||
"""
|
||
flow_id = subflow.subheartflow_id
|
||
stream_name = chat_manager.get_stream_name(flow_id) or flow_id
|
||
|
||
if subflow.chat_state.chat_status != ChatState.ABSENT:
|
||
logger.debug(f"{log_prefix} 设置 {stream_name} 状态为 ABSENT")
|
||
try:
|
||
await subflow.change_chat_state(ChatState.ABSENT)
|
||
# 再次检查以确认状态已更改 (change_chat_state 内部应确保)
|
||
if subflow.chat_state.chat_status == ChatState.ABSENT:
|
||
return True
|
||
else:
|
||
logger.warning(
|
||
f"{log_prefix} 调用 change_chat_state 后，{stream_name} 状态仍为 {subflow.chat_state.chat_status.value}"
|
||
)
|
||
return False
|
||
except Exception as e:
|
||
logger.error(f"{log_prefix} 设置 {stream_name} 状态为 ABSENT 时失败: {e}", exc_info=True)
|
||
return False
|
||
else:
|
||
logger.debug(f"{log_prefix} {stream_name} 已是 ABSENT 状态")
|
||
return True # 已经是目标状态，视为成功
|
||
|
||
# --- 结束新增 ---
|
||
|
||
async def sleep_subheartflow(self, subheartflow_id: Any, reason: str) -> bool:
|
||
"""停止指定的子心流并将其状态设置为 ABSENT"""
|
||
log_prefix = "[子心流管理]"
|
||
async with self._lock: # 加锁以安全访问字典
|
||
subheartflow = self.subheartflows.get(subheartflow_id)
|
||
|
||
stream_name = chat_manager.get_stream_name(subheartflow_id) or subheartflow_id
|
||
logger.info(f"{log_prefix} 正在停止 {stream_name}, 原因: {reason}")
|
||
|
||
# 调用内部方法处理状态变更
|
||
success = await self._try_set_subflow_absent_internal(subheartflow, log_prefix)
|
||
|
||
return success
|
||
# 锁在此处自动释放
|
||
|
||
def get_inactive_subheartflows(self, max_age_seconds=INACTIVE_THRESHOLD_SECONDS):
|
||
"""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)"""
|
||
current_time = time.time()
|
||
flows_to_stop = []
|
||
|
||
for subheartflow_id, subheartflow in list(self.subheartflows.items()):
|
||
state = subheartflow.chat_state.chat_status
|
||
if state != ChatState.ABSENT:
|
||
continue
|
||
subheartflow.update_last_chat_state_time()
|
||
absent_last_time = subheartflow.chat_state_last_time
|
||
if max_age_seconds and (current_time - absent_last_time) > max_age_seconds:
|
||
flows_to_stop.append(subheartflow_id)
|
||
|
||
return flows_to_stop
|
||
|
||
async def enforce_subheartflow_limits(self):
|
||
"""根据主状态限制停止超额子心流(优先停不活跃的)"""
|
||
# 使用 self.mai_state_info 获取当前状态和限制
|
||
current_mai_state = self.mai_state_info.get_current_state()
|
||
normal_limit = current_mai_state.get_normal_chat_max_num()
|
||
focused_limit = current_mai_state.get_focused_chat_max_num()
|
||
logger.debug(f"[限制] 状态:{current_mai_state.value}, 普通限:{normal_limit}, 专注限:{focused_limit}")
|
||
|
||
# 分类统计当前子心流
|
||
normal_flows = []
|
||
focused_flows = []
|
||
for flow_id, flow in list(self.subheartflows.items()):
|
||
if flow.chat_state.chat_status == ChatState.CHAT:
|
||
normal_flows.append((flow_id, getattr(flow, "last_active_time", 0)))
|
||
elif flow.chat_state.chat_status == ChatState.FOCUSED:
|
||
focused_flows.append((flow_id, getattr(flow, "last_active_time", 0)))
|
||
|
||
logger.debug(f"[限制] 当前数量 - 普通:{len(normal_flows)}, 专注:{len(focused_flows)}")
|
||
stopped = 0
|
||
|
||
# 处理普通聊天超额
|
||
if len(normal_flows) > normal_limit:
|
||
excess = len(normal_flows) - normal_limit
|
||
logger.info(f"[限制] 普通聊天超额({len(normal_flows)}>{normal_limit}), 停止{excess}个")
|
||
normal_flows.sort(key=lambda x: x[1])
|
||
for flow_id, _ in normal_flows[:excess]:
|
||
if await self.sleep_subheartflow(flow_id, f"普通聊天超额(限{normal_limit})"):
|
||
stopped += 1
|
||
|
||
# 处理专注聊天超额(需重新统计)
|
||
focused_flows = [
|
||
(fid, t)
|
||
for fid, f in list(self.subheartflows.items())
|
||
if (t := getattr(f, "last_active_time", 0)) and f.chat_state.chat_status == ChatState.FOCUSED
|
||
]
|
||
if len(focused_flows) > focused_limit:
|
||
excess = len(focused_flows) - focused_limit
|
||
logger.info(f"[限制] 专注聊天超额({len(focused_flows)}>{focused_limit}), 停止{excess}个")
|
||
focused_flows.sort(key=lambda x: x[1])
|
||
for flow_id, _ in focused_flows[:excess]:
|
||
if await self.sleep_subheartflow(flow_id, f"专注聊天超额(限{focused_limit})"):
|
||
stopped += 1
|
||
|
||
if stopped:
|
||
logger.info(f"[限制] 已停止{stopped}个子心流, 剩余:{len(self.subheartflows)}")
|
||
else:
|
||
logger.debug(f"[限制] 无需停止, 当前总数:{len(self.subheartflows)}")
|
||
|
||
async def deactivate_all_subflows(self):
|
||
"""将所有子心流的状态更改为 ABSENT (例如主状态变为OFFLINE时调用)"""
|
||
log_prefix = "[停用]"
|
||
changed_count = 0
|
||
processed_count = 0
|
||
|
||
async with self._lock: # 获取锁以安全迭代
|
||
# 使用 list() 创建一个当前值的快照，防止在迭代时修改字典
|
||
flows_to_update = list(self.subheartflows.values())
|
||
processed_count = len(flows_to_update)
|
||
if not flows_to_update:
|
||
logger.debug(f"{log_prefix} 无活跃子心流，无需操作")
|
||
return
|
||
|
||
for subflow in flows_to_update:
|
||
# 记录原始状态，以便统计实际改变的数量
|
||
original_state_was_absent = subflow.chat_state.chat_status == ChatState.ABSENT
|
||
|
||
success = await self._try_set_subflow_absent_internal(subflow, log_prefix)
|
||
|
||
# 如果成功设置为 ABSENT 且原始状态不是 ABSENT，则计数
|
||
if success and not original_state_was_absent:
|
||
if subflow.chat_state.chat_status == ChatState.ABSENT:
|
||
changed_count += 1
|
||
else:
|
||
# 这种情况理论上不应发生，如果内部方法返回 True 的话
|
||
stream_name = chat_manager.get_stream_name(subflow.subheartflow_id) or subflow.subheartflow_id
|
||
logger.warning(f"{log_prefix} 内部方法声称成功但 {stream_name} 状态未变为 ABSENT。")
|
||
# 锁在此处自动释放
|
||
|
||
logger.info(
|
||
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。"
|
||
)
|
||
|
||
async def evaluate_interest_and_promote(self):
|
||
"""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）"""
|
||
try:
|
||
log_prefix = "[兴趣评估]"
|
||
# 使用 self.mai_state_info 获取当前状态和限制
|
||
current_state = self.mai_state_info.get_current_state()
|
||
focused_limit = current_state.get_focused_chat_max_num()
|
||
|
||
# --- 新增：检查是否允许进入 FOCUS 模式 --- #
|
||
if not global_config.allow_focus_mode:
|
||
if int(time.time()) % 60 == 0: # 每60秒输出一次日志避免刷屏
|
||
logger.debug(f"{log_prefix} 配置不允许进入 FOCUSED 状态 (allow_focus_mode=False)")
|
||
return # 如果不允许，直接返回
|
||
# --- 结束新增 ---
|
||
|
||
logger.debug(f"{log_prefix} 当前状态 ({current_state.value}) 开始尝试提升到FOCUSED状态")
|
||
|
||
if int(time.time()) % 20 == 0: # 每20秒输出一次
|
||
logger.debug(f"{log_prefix} 当前状态 ({current_state.value}) 可以在{focused_limit}个群激情聊天")
|
||
|
||
if focused_limit <= 0:
|
||
# logger.debug(f"{log_prefix} 当前状态 ({current_state.value}) 不允许 FOCUSED 子心流")
|
||
return
|
||
|
||
current_focused_count = self.count_subflows_by_state(ChatState.FOCUSED)
|
||
if current_focused_count >= focused_limit:
|
||
logger.debug(f"{log_prefix} 已达专注上限 ({current_focused_count}/{focused_limit})")
|
||
return
|
||
|
||
for sub_hf in list(self.subheartflows.values()):
|
||
flow_id = sub_hf.subheartflow_id
|
||
stream_name = chat_manager.get_stream_name(flow_id) or flow_id
|
||
|
||
logger.debug(f"{log_prefix} 检查子心流: {stream_name}，现在状态: {sub_hf.chat_state.chat_status.value}")
|
||
|
||
# 跳过非CHAT状态或已经是FOCUSED状态的子心流
|
||
if sub_hf.chat_state.chat_status == ChatState.FOCUSED:
|
||
continue
|
||
|
||
from .mai_state_manager import enable_unlimited_hfc_chat
|
||
|
||
if not enable_unlimited_hfc_chat:
|
||
if sub_hf.chat_state.chat_status != ChatState.CHAT:
|
||
continue
|
||
|
||
# 检查是否满足提升概率
|
||
logger.debug(
|
||
f"{log_prefix} 检查子心流: {stream_name}，现在概率: {sub_hf.interest_chatting.start_hfc_probability}"
|
||
)
|
||
if random.random() >= sub_hf.interest_chatting.start_hfc_probability:
|
||
continue
|
||
|
||
# 再次检查是否达到上限
|
||
if current_focused_count >= focused_limit:
|
||
logger.debug(f"{log_prefix} [{stream_name}] 已达专注上限")
|
||
break
|
||
|
||
# 获取最新状态并执行提升
|
||
current_subflow = self.subheartflows.get(flow_id)
|
||
if not current_subflow:
|
||
continue
|
||
|
||
logger.info(
|
||
f"{log_prefix} [{stream_name}] 触发 认真水群 (概率={current_subflow.interest_chatting.start_hfc_probability:.2f})"
|
||
)
|
||
|
||
# 执行状态提升
|
||
await current_subflow.change_chat_state(ChatState.FOCUSED)
|
||
|
||
# 验证提升结果
|
||
if (
|
||
final_subflow := self.subheartflows.get(flow_id)
|
||
) and final_subflow.chat_state.chat_status == ChatState.FOCUSED:
|
||
current_focused_count += 1
|
||
except Exception as e:
|
||
logger.error(f"启动HFC 兴趣评估失败: {e}", exc_info=True)
|
||
|
||
async def evaluate_and_transition_subflows_by_llm(self):
|
||
"""
|
||
使用LLM评估每个子心流的状态，并根据LLM的判断执行状态转换（ABSENT <-> CHAT）。
|
||
注意：此函数包含对假设的LLM函数的调用。
|
||
"""
|
||
# 获取当前状态和限制，用于CHAT激活检查
|
||
current_mai_state = self.mai_state_info.get_current_state()
|
||
chat_limit = current_mai_state.get_normal_chat_max_num()
|
||
|
||
transitioned_to_chat = 0
|
||
transitioned_to_absent = 0
|
||
|
||
async with self._lock: # 在锁内获取快照并迭代
|
||
subflows_snapshot = list(self.subheartflows.values())
|
||
# 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 not subflows_snapshot:
|
||
logger.info("当前没有子心流需要评估。")
|
||
return
|
||
|
||
for sub_hf in subflows_snapshot:
|
||
flow_id = sub_hf.subheartflow_id
|
||
stream_name = chat_manager.get_stream_name(flow_id) or flow_id
|
||
log_prefix = f"[{stream_name}]"
|
||
current_subflow_state = sub_hf.chat_state.chat_status
|
||
|
||
_observation_summary = "没有可用的观察信息。" # 默认值
|
||
|
||
first_observation = sub_hf.observations[0]
|
||
if isinstance(first_observation, ChattingObservation):
|
||
# 组合中期记忆和当前聊天内容
|
||
await first_observation.observe()
|
||
current_chat = first_observation.talking_message_str or "当前无聊天内容。"
|
||
combined_summary = f"当前聊天内容:\n{current_chat}"
|
||
else:
|
||
logger.warning(f"{log_prefix} [{stream_name}] 第一个观察者不是 ChattingObservation 类型。")
|
||
|
||
# --- 获取麦麦状态 ---
|
||
mai_state_description = f"你当前状态: {current_mai_state.value}。"
|
||
|
||
# 获取个性化信息
|
||
individuality = Individuality.get_instance()
|
||
|
||
# 构建个性部分
|
||
prompt_personality = f"你正在扮演名为{individuality.personality.bot_nickname}的人类，你"
|
||
prompt_personality += individuality.personality.personality_core
|
||
|
||
# 随机添加个性侧面
|
||
if individuality.personality.personality_sides:
|
||
random_side = random.choice(individuality.personality.personality_sides)
|
||
prompt_personality += f"，{random_side}"
|
||
|
||
# 随机添加身份细节
|
||
if individuality.identity.identity_detail:
|
||
random_detail = random.choice(individuality.identity.identity_detail)
|
||
prompt_personality += f"，{random_detail}"
|
||
|
||
# --- 针对 ABSENT 状态 ---
|
||
if current_subflow_state == ChatState.ABSENT:
|
||
# 构建Prompt
|
||
prompt = (
|
||
f"{prompt_personality}\n"
|
||
f"你当前没有在： [{stream_name}] 群中聊天。\n"
|
||
f"{mai_state_description}\n"
|
||
f"这个群里最近的聊天内容是:\n---\n{combined_summary}\n---\n"
|
||
f"基于以上信息，请判断你是否愿意在这个群开始闲聊，"
|
||
f"进入常规聊天(CHAT)状态？\n"
|
||
f"给出你的判断，和理由，然后以 JSON 格式回答"
|
||
f"包含键 'decision'，如果要开始聊天，值为 true ，否则为 false.\n"
|
||
f"包含键 'reason'，其值为你的理由。\n"
|
||
f'例如：{{"decision": true, "reason": "因为我想聊天"}}\n'
|
||
f"请只输出有效的 JSON 对象。"
|
||
)
|
||
|
||
# 调用LLM评估
|
||
should_activate = await self._llm_evaluate_state_transition(prompt)
|
||
if should_activate is None: # 处理解析失败或意外情况
|
||
logger.warning(f"{log_prefix}LLM评估返回无效结果，跳过。")
|
||
continue
|
||
|
||
if should_activate:
|
||
# 检查CHAT限额
|
||
# 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:
|
||
logger.info(
|
||
f"{log_prefix}LLM建议激活到CHAT状态，且未达上限({current_chat_count}/{chat_limit})。正在尝试转换..."
|
||
)
|
||
await sub_hf.change_chat_state(ChatState.CHAT)
|
||
if sub_hf.chat_state.chat_status == ChatState.CHAT:
|
||
transitioned_to_chat += 1
|
||
else:
|
||
logger.warning(f"{log_prefix}尝试激活到CHAT失败。")
|
||
else:
|
||
logger.info(
|
||
f"{log_prefix}LLM建议激活到CHAT状态，但已达到上限({current_chat_count}/{chat_limit})。跳过转换。"
|
||
)
|
||
else:
|
||
logger.info(f"{log_prefix}LLM建议不激活到CHAT状态。")
|
||
|
||
# --- 针对 CHAT 状态 ---
|
||
elif current_subflow_state == ChatState.CHAT:
|
||
# 构建Prompt
|
||
prompt = (
|
||
f"{prompt_personality}\n"
|
||
f"你正在在： [{stream_name}] 群中聊天。\n"
|
||
f"{mai_state_description}\n"
|
||
f"这个群里最近的聊天内容是:\n---\n{combined_summary}\n---\n"
|
||
f"基于以上信息，请判断你是否愿意在这个群继续闲聊，"
|
||
f"还是暂时离开聊天，进入休眠状态？\n"
|
||
f"给出你的判断，和理由，然后以 JSON 格式回答"
|
||
f"包含键 'decision'，如果要离开聊天，值为 true ，否则为 false.\n"
|
||
f"包含键 'reason'，其值为你的理由。\n"
|
||
f'例如：{{"decision": true, "reason": "因为我想休息"}}\n'
|
||
f"请只输出有效的 JSON 对象。"
|
||
)
|
||
|
||
# 调用LLM评估
|
||
should_deactivate = await self._llm_evaluate_state_transition(prompt)
|
||
if should_deactivate is None: # 处理解析失败或意外情况
|
||
logger.warning(f"{log_prefix}LLM评估返回无效结果，跳过。")
|
||
continue
|
||
|
||
if should_deactivate:
|
||
logger.info(f"{log_prefix}LLM建议进入ABSENT状态。正在尝试转换...")
|
||
await sub_hf.change_chat_state(ChatState.ABSENT)
|
||
if sub_hf.chat_state.chat_status == ChatState.ABSENT:
|
||
transitioned_to_absent += 1
|
||
else:
|
||
logger.info(f"{log_prefix}LLM建议不进入ABSENT状态。")
|
||
|
||
async def _llm_evaluate_state_transition(self, prompt: str) -> Optional[bool]:
|
||
"""
|
||
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} 原始响应: {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
|
||
|
||
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
|
||
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 # 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
|
||
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
|
||
return 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
|
||
|
||
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 # 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 request_absent_transition 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.request_absent_transition(subheartflow_id)
|
||
|
||
# --- 结束新增 --- #
|
||
|
||
# --- 新增：处理来自 HeartFChatting 的状态转换请求 --- #
|
||
async def request_absent_transition(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:
|
||
logger.info(f"[状态转换请求] 接收到请求，将 {stream_name} (当前: {current_state.value}) 转换为 ABSENT")
|
||
try:
|
||
await subflow.change_chat_state(ChatState.ABSENT)
|
||
logger.info(f"[状态转换请求] {stream_name} 状态已成功转换为 ABSENT")
|
||
except Exception as e:
|
||
logger.error(f"[状态转换请求] 转换 {stream_name} 到 ABSENT 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 --- #
|