419 lines
19 KiB
Python
419 lines
19 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
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import functools
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from src.common.logger_manager import get_logger
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from src.chat.message_receive.chat_stream import chat_manager
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from src.chat.heart_flow.sub_heartflow import SubHeartflow, ChatState
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from src.chat.heart_flow.mai_state_manager import MaiStateInfo
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from src.chat.heart_flow.observation.chatting_observation import ChattingObservation
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from src.config.config import global_config
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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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async def _try_set_subflow_absent_internal(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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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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async def force_change_state(self, subflow_id: Any, target_state: ChatState) -> bool:
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"""强制改变指定子心流的状态"""
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async with self._lock:
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subflow = self.subheartflows.get(subflow_id)
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if not subflow:
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logger.warning(f"[强制状态转换]尝试转换不存在的子心流{subflow_id} 到 {target_state.value}")
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return False
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await subflow.change_chat_state(target_state)
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logger.info(f"[强制状态转换]子心流 {subflow_id} 已转换到 {target_state.value}")
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return True
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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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await observation.initialize()
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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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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 _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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flows_to_stop.append(subheartflow_id)
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return flows_to_stop
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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 _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，满足条件则提升到FOCUSED状态（基于start_hfc_probability）"""
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try:
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current_state = self.mai_state_info.get_current_state()
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# 检查是否允许进入 FOCUS 模式
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if not global_config.chat.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.trace("未开启 FOCUSED 状态 (allow_focus_mode=False)")
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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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# 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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if sub_hf.interest_chatting.start_hfc_probability == 0:
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continue
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else:
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logger.debug(
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f"{stream_name}，现在状态: {sub_hf.chat_state.chat_status.value}，进入专注概率: {sub_hf.interest_chatting.start_hfc_probability}"
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)
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# 调试用
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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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if random.random() >= sub_hf.interest_chatting.start_hfc_probability:
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continue
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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"{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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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_focus_into_absent_or_chat(self, subflow_id: Any):
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"""
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接收来自 HeartFChatting 的请求，将特定子心流的状态转换为 CHAT。
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通常在连续多次 "no_reply" 后被调用。
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对于私聊和群聊，都转换为 CHAT。
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Args:
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subflow_id: 需要转换状态的子心流 ID。
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"""
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async with self._lock:
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subflow = self.subheartflows.get(subflow_id)
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if not subflow:
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logger.warning(f"[状态转换请求] 尝试转换不存在的子心流 {subflow_id} 到 CHAT")
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return
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stream_name = chat_manager.get_stream_name(subflow_id) or subflow_id
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current_state = subflow.chat_state.chat_status
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if current_state == ChatState.FOCUSED:
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target_state = ChatState.CHAT
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log_reason = "转为CHAT"
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logger.info(
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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})"
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)
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try:
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# 从HFC到CHAT时，清空兴趣字典
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subflow.clear_interest_dict()
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await subflow.change_chat_state(target_state)
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final_state = subflow.chat_state.chat_status
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if final_state == target_state:
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logger.debug(f"[状态转换请求] {stream_name} 状态已成功转换为 {final_state.value}")
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else:
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logger.warning(
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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}"
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)
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except Exception as e:
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logger.error(
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f"[状态转换请求] 转换 {stream_name} 到 {target_state.value} 时出错: {e}", exc_info=True
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)
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elif current_state == ChatState.ABSENT:
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logger.debug(f"[状态转换请求] {stream_name} 处于 ABSENT 状态，尝试转为 CHAT")
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await subflow.change_chat_state(ChatState.CHAT)
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else:
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logger.debug(
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f"[状态转换请求] {stream_name} 当前状态为 {current_state.value}，无需转换"
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)
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def count_subflows_by_state(self, state: ChatState) -> int:
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"""统计指定状态的子心流数量"""
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count = 0
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# 遍历所有子心流实例
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for subheartflow in self.subheartflows.values():
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# 检查子心流状态是否匹配
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if subheartflow.chat_state.chat_status == state:
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count += 1
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return count
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def count_subflows_by_state_nolock(self, state: ChatState) -> int:
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"""
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统计指定状态的子心流数量 (不上锁版本)。
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警告：仅应在已持有 self._lock 的上下文中使用此方法。
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"""
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count = 0
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for subheartflow in self.subheartflows.values():
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if subheartflow.chat_state.chat_status == state:
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count += 1
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return count
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async def delete_subflow(self, subheartflow_id: Any):
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"""删除指定的子心流。"""
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async with self._lock:
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subflow = self.subheartflows.pop(subheartflow_id, None)
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if subflow:
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logger.info(f"正在删除 SubHeartflow: {subheartflow_id}...")
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try:
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# 调用 shutdown 方法确保资源释放
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await subflow.shutdown()
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logger.info(f"SubHeartflow {subheartflow_id} 已成功删除。")
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except Exception as e:
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logger.error(f"删除 SubHeartflow {subheartflow_id} 时出错: {e}", exc_info=True)
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else:
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logger.warning(f"尝试删除不存在的 SubHeartflow: {subheartflow_id}")
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async def _handle_hfc_no_reply(self, subheartflow_id: Any):
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"""处理来自 HeartFChatting 的连续无回复信号 (通过 partial 绑定 ID)"""
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# 注意：这里不需要再获取锁，因为 sbhf_focus_into_absent_or_chat 内部会处理锁
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logger.debug(f"[管理器 HFC 处理器] 接收到来自 {subheartflow_id} 的 HFC 无回复信号")
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await self.sbhf_focus_into_absent_or_chat(subheartflow_id)
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# --- 新增：处理私聊从 ABSENT 直接到 FOCUSED 的逻辑 --- #
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async def sbhf_absent_private_into_focus(self):
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"""检查 ABSENT 状态的私聊子心流是否有新活动，若有且未达 FOCUSED 上限，则直接转换为 FOCUSED。"""
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log_prefix_task = "[私聊激活检查]"
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transitioned_count = 0
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checked_count = 0
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# --- 检查是否允许 FOCUS 模式 --- #
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if not global_config.chat.allow_focus_mode:
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return
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async with self._lock:
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# --- 获取当前 FOCUSED 计数 (不上锁版本) --- #
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current_focused_count = self.count_subflows_by_state_nolock(ChatState.FOCUSED)
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# --- 筛选出所有 ABSENT 状态的私聊子心流 --- #
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eligible_subflows = [
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hf
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for hf in self.subheartflows.values()
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if hf.chat_state.chat_status == ChatState.ABSENT and not hf.is_group_chat
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]
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checked_count = len(eligible_subflows)
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if not eligible_subflows:
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# logger.debug(f"{log_prefix_task} 没有 ABSENT 状态的私聊子心流可以评估。")
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return
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# --- 遍历评估每个符合条件的私聊 --- #
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for sub_hf in eligible_subflows:
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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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log_prefix = f"[{stream_name}]({log_prefix_task})"
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try:
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# --- 检查是否有新活动 --- #
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observation = sub_hf._get_primary_observation() # 获取主要观察者
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is_active = False
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if observation:
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# 检查自上次状态变为 ABSENT 后是否有新消息
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# 使用 chat_state_changed_time 可能更精确
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# 加一点点缓冲时间（例如 1 秒）以防时间戳完全相等
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timestamp_to_check = sub_hf.chat_state_changed_time - 1
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has_new = await observation.has_new_messages_since(timestamp_to_check)
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if has_new:
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is_active = True
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logger.debug(f"{log_prefix} 检测到新消息，标记为活跃。")
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else:
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logger.warning(f"{log_prefix} 无法获取主要观察者来检查活动状态。")
|
||
|
||
# --- 如果活跃且未达上限，则尝试转换 --- #
|
||
if is_active:
|
||
await sub_hf.change_chat_state(ChatState.FOCUSED)
|
||
# 确认转换成功
|
||
if sub_hf.chat_state.chat_status == ChatState.FOCUSED:
|
||
transitioned_count += 1
|
||
current_focused_count += 1 # 更新计数器以供本轮后续检查
|
||
logger.info(f"{log_prefix} 成功进入 FOCUSED 状态。")
|
||
else:
|
||
logger.warning(
|
||
f"{log_prefix} 尝试进入 FOCUSED 状态失败。当前状态: {sub_hf.chat_state.chat_status.value}"
|
||
)
|
||
# else: # 不活跃，无需操作
|
||
# logger.debug(f"{log_prefix} 未检测到新活动，保持 ABSENT。")
|
||
|
||
except Exception as e:
|
||
logger.error(f"{log_prefix} 检查私聊活动或转换状态时出错: {e}", exc_info=True)
|
||
|
||
# --- 循环结束后记录总结日志 --- #
|
||
if transitioned_count > 0:
|
||
logger.debug(
|
||
f"{log_prefix_task} 完成，共检查 {checked_count} 个私聊，{transitioned_count} 个转换为 FOCUSED。"
|
||
)
|