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refactor：重构聊天状态切换模式，移除限额，精简切换逻辑

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SengokuCola
2025-05-18 18:15:38 +08:00
parent a1809d347b
commit 49c2bc854c
24 changed files with 541 additions and 1029 deletions
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524
src/chat/heart_flow/subheartflow_manager.py
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@@ -1,26 +1,14 @@
import asyncio
import time
import random
from typing import Dict, Any, Optional, List, Tuple
import json # 导入 json 模块
import functools # <-- 新增导入
# 导入日志模块
from typing import Dict, Any, Optional, List
import functools
from src.common.logger_manager import get_logger
# 导入聊天流管理模块
from src.chat.message_receive.chat_stream import chat_manager
# 导入心流相关类
from src.chat.heart_flow.sub_heartflow import SubHeartflow, ChatState
from src.chat.heart_flow.mai_state_manager import MaiStateInfo
from src.chat.heart_flow.observation.chatting_observation import ChattingObservation
# 导入LLM请求工具
from src.chat.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
@@ -74,15 +62,6 @@ class SubHeartflowManager:
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
# TODO: API-Adapter修改标记
self.llm_state_evaluator = LLMRequest(
model=global_config.model.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
)
async def force_change_state(self, subflow_id: Any, target_state: ChatState) -> bool:
"""强制改变指定子心流的状态"""
@@ -156,10 +135,6 @@ class SubHeartflowManager:
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 ---
# --- 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]"
@@ -190,54 +165,6 @@ class SubHeartflowManager:
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]"
@@ -273,27 +200,14 @@ class SubHeartflowManager:
)
async def sbhf_absent_into_focus(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）"""
"""评估子心流兴趣度，满足条件则提升到FOCUSED状态（基于start_hfc_probability）"""
try:
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 --- #
# 检查是否允许进入 FOCUS 模式
if not global_config.chat.allow_focus_mode:
if int(time.time()) % 60 == 0: # 每60秒输出一次日志避免刷屏
logger.trace("未开启 FOCUSED 状态 (allow_focus_mode=False)")
return # 如果不允许，直接返回
# --- 结束新增 ---
logger.info(f"当前状态 ({current_state.value}) 可以在{focused_limit}个群 专注聊天")
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"已达专注上限 ({current_focused_count}/{focused_limit})")
return
for sub_hf in list(self.subheartflows.values()):
@@ -321,11 +235,6 @@ class SubHeartflowManager:
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"{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:
@@ -338,283 +247,57 @@ class SubHeartflowManager:
# 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 sbhf_absent_into_chat(self):
async def sbhf_focus_into_absent_or_chat(self, subflow_id: Any):
"""
随机选一个 ABSENT 状态的 *群聊* 子心流，评估是否应转换为 CHAT 状态。
每次调用最多转换一个。
私聊会被忽略。
"""
current_mai_state = self.mai_state_info.get_current_state()
chat_limit = current_mai_state.get_normal_chat_max_num()
async with self._lock:
# 1. 筛选出所有 ABSENT 状态的 *群聊* 子心流
absent_group_subflows = [
hf
for hf in self.subheartflows.values()
if hf.chat_state.chat_status == ChatState.ABSENT and hf.is_group_chat
]
if not absent_group_subflows:
# logger.debug("没有摸鱼的群聊子心流可以评估。") # 日志太频繁
return # 没有目标，直接返回
# 2. 随机选一个幸运儿
sub_hf_to_evaluate = random.choice(absent_group_subflows)
flow_id = sub_hf_to_evaluate.subheartflow_id
stream_name = chat_manager.get_stream_name(flow_id) or flow_id
log_prefix = f"[{stream_name}]"
# 3. 检查 CHAT 上限
current_chat_count = self.count_subflows_by_state_nolock(ChatState.CHAT)
if current_chat_count >= chat_limit:
logger.info(f"{log_prefix} 想看看能不能聊，但是聊天太多了， ({current_chat_count}/{chat_limit}) 满了。")
return # 满了，这次就算了
# --- 获取 FOCUSED 计数 ---
current_focused_count = self.count_subflows_by_state_nolock(ChatState.FOCUSED)
focused_limit = current_mai_state.get_focused_chat_max_num()
# --- 新增：获取聊天和专注群名 ---
chatting_group_names = []
focused_group_names = []
for flow_id, hf in self.subheartflows.items():
stream_name = chat_manager.get_stream_name(flow_id) or str(flow_id) # 保证有名字
if hf.chat_state.chat_status == ChatState.CHAT:
chatting_group_names.append(stream_name)
elif hf.chat_state.chat_status == ChatState.FOCUSED:
focused_group_names.append(stream_name)
# --- 结束新增 ---
# --- 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"在[{stream_name}]这个群中，你最近看群友聊了这些:\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"正在这些群闲聊 ({current_chat_count}/{chat_limit}): {', '.join(chatting_group_names)}"
)
if focused_group_names:
chat_status_lines.append(
f"正在这些群专注的聊天 ({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，你已经参与了下面这几个群的聊天：\n" + "\n".join(
chat_status_lines
) # 拼接状态信息
prompt = (
f"{prompt_personality}\n"
f"{chat_status_prompt}\n" # <-- 喵！用了新的状态信息~
f"你当前尚未加入 [{stream_name}] 群聊天。\n"
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:
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:
last_bot_dong_zuo_time = sub_hf.get_normal_chat_last_speak_time()
if last_bot_dong_zuo_time > 0:
current_time = time.time()
time_since_last_bb = current_time - last_bot_dong_zuo_time
minutes_since_last_bb = time_since_last_bb / 60
# 60分钟强制退出
if minutes_since_last_bb >= 60:
should_deactivate = True
reason = "超过60分钟未发言，强制退出"
else:
# 根据时间区间确定退出概率
exit_probability = 0
if minutes_since_last_bb < 5:
exit_probability = 0.01 # 1%
elif minutes_since_last_bb < 15:
exit_probability = 0.02 # 2%
elif minutes_since_last_bb < 30:
exit_probability = 0.04 # 4%
else:
exit_probability = 0.08 # 8%
# 随机判断是否退出
if random.random() < exit_probability:
should_deactivate = True
reason = f"已{minutes_since_last_bb:.1f}分钟未发言，触发{exit_probability * 100:.0f}%退出概率"
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。
接收来自 HeartFChatting 的请求，将特定子心流的状态转换为 CHAT。
通常在连续多次 "no_reply" 后被调用。
对于私聊和群聊，都转换为 CHAT。
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。
subflow_id: 需要转换状态的子心流 ID。
"""
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}")
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 CHAT")
return
# --- 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()
stream_name = chat_manager.get_stream_name(subflow_id) or subflow_id
current_state = subflow.chat_state.chat_status
data = json.loads(cleaned_response)
decision = data.get("decision") # 使用 .get() 避免 KeyError
reason = data.get("reason")
if current_state == ChatState.FOCUSED:
target_state = ChatState.CHAT
log_reason = "转为CHAT"
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}"
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:
# 从HFC到CHAT时，清空兴趣字典
subflow.clear_interest_dict()
await subflow.change_chat_state(target_state)
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
)
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
elif current_state == ChatState.ABSENT:
logger.debug(f"[状态转换请求] {stream_name} 处于 ABSENT 状态，尝试转为 CHAT")
await subflow.change_chat_state(ChatState.CHAT)
else:
logger.debug(
f"[状态转换请求] {stream_name} 当前状态为 {current_state.value}，无需转换"
)
def count_subflows_by_state(self, state: ChatState) -> int:
"""统计指定状态的子心流数量"""
@@ -637,23 +320,6 @@ class SubHeartflowManager:
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。"""
@@ -670,91 +336,13 @@ class SubHeartflowManager:
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
# 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
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_or_chat(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_or_chat(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 或 CHAT。
通常在连续多次 "no_reply" 后被调用。
对于私聊，总是转换为 ABSENT。
对于群聊，随机决定转换为 ABSENT 或 CHAT (如果 CHAT 未达上限)。
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/CHAT")
return
stream_name = chat_manager.get_stream_name(subflow_id) or subflow_id
current_state = subflow.chat_state.chat_status
if current_state == ChatState.FOCUSED:
target_state = ChatState.ABSENT # Default target
log_reason = "默认转换 (私聊或群聊)"
# --- Modify logic based on chat type --- #
if subflow.is_group_chat:
# Group chat: Decide between ABSENT or CHAT
if random.random() < 0.5: # 50% chance to try CHAT
current_mai_state = self.mai_state_info.get_current_state()
chat_limit = current_mai_state.get_normal_chat_max_num()
current_chat_count = self.count_subflows_by_state_nolock(ChatState.CHAT)
if current_chat_count < chat_limit:
target_state = ChatState.CHAT
log_reason = f"群聊随机选择 CHAT (当前 {current_chat_count}/{chat_limit})"
else:
target_state = ChatState.ABSENT # Fallback to ABSENT if CHAT limit reached
log_reason = (
f"群聊随机选择 CHAT 但已达上限 ({current_chat_count}/{chat_limit})，转为 ABSENT"
)
else: # 50% chance to go directly to ABSENT
target_state = ChatState.ABSENT
log_reason = "群聊随机选择 ABSENT"
else:
# Private chat: Always go to ABSENT
target_state = ChatState.ABSENT
log_reason = "私聊退出 FOCUSED，转为 ABSENT"
# --- End modification --- #
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:
# 从HFC到CHAT时，清空兴趣字典
subflow.clear_interest_dict()
await subflow.change_chat_state(target_state)
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 --- #
# --- 新增：处理私聊从 ABSENT 直接到 FOCUSED 的逻辑 --- #
async def sbhf_absent_private_into_focus(self):
"""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。"""
@@ -762,19 +350,8 @@ class SubHeartflowManager:
transitioned_count = 0
checked_count = 0
# --- 获取当前状态和 FOCUSED 上限 --- #
current_mai_state = self.mai_state_info.get_current_state()
focused_limit = current_mai_state.get_focused_chat_max_num()
# --- 检查是否允许 FOCUS 模式 --- #
if not global_config.chat.allow_focus_mode:
# Log less frequently to avoid spam
# if int(time.time()) % 60 == 0:
# logger.debug(f"{log_prefix_task} 配置不允许进入 FOCUSED 状态")
return
if focused_limit <= 0:
# logger.debug(f"{log_prefix_task} 当前状态 ({current_mai_state.value}) 不允许 FOCUSED 子心流")
return
async with self._lock:
@@ -795,12 +372,6 @@ class SubHeartflowManager:
# --- 遍历评估每个符合条件的私聊 --- #
for sub_hf in eligible_subflows:
# --- 再次检查 FOCUSED 上限，因为可能有多个同时激活 --- #
if current_focused_count >= focused_limit:
logger.debug(
f"{log_prefix_task} 已达专注上限 ({current_focused_count}/{focused_limit})，停止检查后续私聊。"
)
break # 已满，无需再检查其他私聊
flow_id = sub_hf.subheartflow_id
stream_name = chat_manager.get_stream_name(flow_id) or flow_id
@@ -824,9 +395,6 @@ class SubHeartflowManager:
# --- 如果活跃且未达上限，则尝试转换 --- #
if is_active:
logger.info(
f"{log_prefix} 检测到活跃且未达专注上限 ({current_focused_count}/{focused_limit})，尝试转换为 FOCUSED。"
)
await sub_hf.change_chat_state(ChatState.FOCUSED)
# 确认转换成功
if sub_hf.chat_state.chat_status == ChatState.FOCUSED: