410 lines
18 KiB
Python
410 lines
18 KiB
Python
import asyncio
|
||
import time
|
||
import traceback
|
||
import random
|
||
from typing import Optional, List, Dict, Any, Tuple
|
||
from collections import deque
|
||
|
||
from src.common.logger import get_logger
|
||
from src.config.config import global_config
|
||
from src.person_info.relationship_builder_manager import relationship_builder_manager
|
||
from src.chat.express.expression_learner import expression_learner_manager
|
||
from src.plugin_system.base.component_types import ChatMode
|
||
from src.schedule.schedule_manager import schedule_manager, SleepState
|
||
from src.plugin_system.apis import message_api
|
||
|
||
from .hfc_context import HfcContext
|
||
from .energy_manager import EnergyManager
|
||
from .proactive_thinker import ProactiveThinker
|
||
from .cycle_processor import CycleProcessor
|
||
from .response_handler import ResponseHandler
|
||
from .cycle_tracker import CycleTracker
|
||
from .wakeup_manager import WakeUpManager
|
||
|
||
logger = get_logger("hfc")
|
||
|
||
|
||
class HeartFChatting:
|
||
def __init__(self, chat_id: str):
|
||
"""
|
||
初始化心跳聊天管理器
|
||
|
||
Args:
|
||
chat_id: 聊天ID标识符
|
||
|
||
功能说明:
|
||
- 创建聊天上下文和所有子管理器
|
||
- 初始化循环跟踪器、响应处理器、循环处理器等核心组件
|
||
- 设置能量管理器、主动思考器和普通模式处理器
|
||
- 初始化聊天模式并记录初始化完成日志
|
||
"""
|
||
self.context = HfcContext(chat_id)
|
||
|
||
self.cycle_tracker = CycleTracker(self.context)
|
||
self.response_handler = ResponseHandler(self.context)
|
||
self.cycle_processor = CycleProcessor(self.context, self.response_handler, self.cycle_tracker)
|
||
self.energy_manager = EnergyManager(self.context)
|
||
self.proactive_thinker = ProactiveThinker(self.context, self.cycle_processor)
|
||
self.wakeup_manager = WakeUpManager(self.context)
|
||
|
||
# 将唤醒度管理器设置到上下文中
|
||
self.context.wakeup_manager = self.wakeup_manager
|
||
self.context.energy_manager = self.energy_manager
|
||
# 将HeartFChatting实例设置到上下文中，以便其他组件可以调用其方法
|
||
self.context.chat_instance = self
|
||
|
||
self._loop_task: Optional[asyncio.Task] = None
|
||
|
||
# 记录最近3次的兴趣度
|
||
self.recent_interest_records: deque = deque(maxlen=3)
|
||
self._initialize_chat_mode()
|
||
logger.info(f"{self.context.log_prefix} HeartFChatting 初始化完成")
|
||
|
||
def _initialize_chat_mode(self):
|
||
"""
|
||
初始化聊天模式
|
||
|
||
功能说明:
|
||
- 检测是否为群聊环境
|
||
- 根据全局配置设置强制聊天模式
|
||
- 在focus模式下设置能量值为35
|
||
- 在normal模式下设置能量值为15
|
||
- 如果是auto模式则保持默认设置
|
||
"""
|
||
is_group_chat = self.context.chat_stream.group_info is not None if self.context.chat_stream else False
|
||
if is_group_chat and global_config.chat.group_chat_mode != "auto":
|
||
self.context.energy_value = 25
|
||
|
||
async def start(self):
|
||
"""
|
||
启动心跳聊天系统
|
||
|
||
功能说明:
|
||
- 检查是否已经在运行，避免重复启动
|
||
- 初始化关系构建器和表达学习器
|
||
- 启动能量管理器和主动思考器
|
||
- 创建主聊天循环任务并设置完成回调
|
||
- 记录启动完成日志
|
||
"""
|
||
if self.context.running:
|
||
return
|
||
self.context.running = True
|
||
|
||
self.context.relationship_builder = relationship_builder_manager.get_or_create_builder(self.context.stream_id)
|
||
self.context.expression_learner = expression_learner_manager.get_expression_learner(self.context.stream_id)
|
||
|
||
#await self.energy_manager.start()
|
||
await self.proactive_thinker.start()
|
||
await self.wakeup_manager.start()
|
||
|
||
self._loop_task = asyncio.create_task(self._main_chat_loop())
|
||
self._loop_task.add_done_callback(self._handle_loop_completion)
|
||
logger.info(f"{self.context.log_prefix} HeartFChatting 启动完成")
|
||
|
||
async def stop(self):
|
||
"""
|
||
停止心跳聊天系统
|
||
|
||
功能说明:
|
||
- 检查是否正在运行，避免重复停止
|
||
- 设置运行状态为False
|
||
- 停止能量管理器和主动思考器
|
||
- 取消主聊天循环任务
|
||
- 记录停止完成日志
|
||
"""
|
||
if not self.context.running:
|
||
return
|
||
self.context.running = False
|
||
|
||
#await self.energy_manager.stop()
|
||
await self.proactive_thinker.stop()
|
||
await self.wakeup_manager.stop()
|
||
|
||
if self._loop_task and not self._loop_task.done():
|
||
self._loop_task.cancel()
|
||
await asyncio.sleep(0)
|
||
logger.info(f"{self.context.log_prefix} HeartFChatting 已停止")
|
||
|
||
def _handle_loop_completion(self, task: asyncio.Task):
|
||
"""
|
||
处理主循环任务完成
|
||
|
||
Args:
|
||
task: 完成的异步任务对象
|
||
|
||
功能说明:
|
||
- 处理任务异常完成的情况
|
||
- 区分正常停止和异常终止
|
||
- 记录相应的日志信息
|
||
- 处理取消任务的情况
|
||
"""
|
||
try:
|
||
if exception := task.exception():
|
||
logger.error(f"{self.context.log_prefix} HeartFChatting: 脱离了聊天(异常): {exception}")
|
||
logger.error(traceback.format_exc())
|
||
else:
|
||
logger.info(f"{self.context.log_prefix} HeartFChatting: 脱离了聊天 (外部停止)")
|
||
except asyncio.CancelledError:
|
||
logger.info(f"{self.context.log_prefix} HeartFChatting: 结束了聊天")
|
||
|
||
async def _main_chat_loop(self):
|
||
"""
|
||
主聊天循环
|
||
|
||
功能说明:
|
||
- 持续运行聊天处理循环
|
||
- 只有在有新消息时才进行思考循环
|
||
- 无新消息时等待新消息到达（由主动思考系统单独处理主动发言）
|
||
- 处理取消和异常情况
|
||
- 在异常时尝试重新启动循环
|
||
"""
|
||
try:
|
||
while self.context.running:
|
||
has_new_messages = await self._loop_body()
|
||
|
||
if has_new_messages:
|
||
# 有新消息时，继续快速检查是否还有更多消息
|
||
await asyncio.sleep(1)
|
||
else:
|
||
# 无新消息时，等待较长时间再检查
|
||
# 这里只是为了定期检查系统状态，不进行思考循环
|
||
# 真正的新消息响应依赖于消息到达时的通知
|
||
await asyncio.sleep(1.0)
|
||
|
||
except asyncio.CancelledError:
|
||
logger.info(f"{self.context.log_prefix} 麦麦已关闭聊天")
|
||
except Exception:
|
||
logger.error(f"{self.context.log_prefix} 麦麦聊天意外错误，将于3s后尝试重新启动")
|
||
print(traceback.format_exc())
|
||
await asyncio.sleep(3)
|
||
self._loop_task = asyncio.create_task(self._main_chat_loop())
|
||
logger.error(f"{self.context.log_prefix} 结束了当前聊天循环")
|
||
|
||
async def _loop_body(self) -> bool:
|
||
"""
|
||
单次循环体处理
|
||
|
||
Returns:
|
||
bool: 是否处理了新消息
|
||
|
||
功能说明:
|
||
- 检查是否处于睡眠模式，如果是则处理唤醒度逻辑
|
||
- 获取最近的新消息（过滤机器人自己的消息和命令）
|
||
- 只有在有新消息时才进行思考循环处理
|
||
- 更新最后消息时间和读取时间
|
||
- 根据当前聊天模式执行不同的处理逻辑
|
||
- FOCUS模式：直接处理所有消息并检查退出条件
|
||
- NORMAL模式：检查进入FOCUS模式的条件，并通过normal_mode_handler处理消息
|
||
"""
|
||
# --- 核心状态更新 ---
|
||
await schedule_manager.update_sleep_state(self.wakeup_manager)
|
||
current_sleep_state = schedule_manager.get_current_sleep_state()
|
||
is_sleeping = current_sleep_state == SleepState.SLEEPING
|
||
is_in_insomnia = current_sleep_state == SleepState.INSOMNIA
|
||
|
||
# 核心修复：在睡眠模式(包括失眠)下获取消息时，不过滤命令消息，以确保@消息能被接收
|
||
filter_command_flag = not (is_sleeping or is_in_insomnia)
|
||
|
||
recent_messages = message_api.get_messages_by_time_in_chat(
|
||
chat_id=self.context.stream_id,
|
||
start_time=self.context.last_read_time,
|
||
end_time=time.time(),
|
||
limit=10,
|
||
limit_mode="latest",
|
||
filter_mai=True,
|
||
filter_command=filter_command_flag,
|
||
)
|
||
|
||
has_new_messages = bool(recent_messages)
|
||
new_message_count = len(recent_messages)
|
||
|
||
# 只有在有新消息时才进行思考循环处理
|
||
if has_new_messages:
|
||
self.context.last_message_time = time.time()
|
||
self.context.last_read_time = time.time()
|
||
|
||
# 处理唤醒度逻辑
|
||
if current_sleep_state in [SleepState.SLEEPING, SleepState.PREPARING_SLEEP, SleepState.INSOMNIA]:
|
||
self._handle_wakeup_messages(recent_messages)
|
||
|
||
# 再次获取最新状态，因为 handle_wakeup 可能导致状态变为 WOKEN_UP
|
||
current_sleep_state = schedule_manager.get_current_sleep_state()
|
||
|
||
if current_sleep_state == SleepState.SLEEPING:
|
||
# 只有在纯粹的 SLEEPING 状态下才跳过消息处理
|
||
return True
|
||
|
||
if current_sleep_state == SleepState.WOKEN_UP:
|
||
logger.info(f"{self.context.log_prefix} 从睡眠中被唤醒，将处理积压的消息。")
|
||
|
||
# 根据聊天模式处理新消息
|
||
# 统一使用 _should_process_messages 判断是否应该处理
|
||
should_process,interest_value = await self._should_process_messages(recent_messages if has_new_messages else None)
|
||
if should_process:
|
||
self.context.last_read_time = time.time()
|
||
await self.cycle_processor.observe(interest_value = interest_value)
|
||
else:
|
||
# Normal模式：消息数量不足，等待
|
||
await asyncio.sleep(0.5)
|
||
return True
|
||
|
||
if not await self._should_process_messages(recent_messages if has_new_messages else None):
|
||
return has_new_messages
|
||
|
||
# 处理新消息
|
||
for message in recent_messages:
|
||
await self.cycle_processor.observe(interest_value = interest_value)
|
||
|
||
# 如果成功观察，增加能量值并重置累积兴趣值
|
||
if has_new_messages:
|
||
self.context.energy_value += 1 / global_config.chat.focus_value
|
||
# 重置累积兴趣值，因为消息已经被成功处理
|
||
self.context.breaking_accumulated_interest = 0.0
|
||
logger.info(f"{self.context.log_prefix} 能量值增加，当前能量值：{self.context.energy_value:.1f}，重置累积兴趣值")
|
||
|
||
|
||
# 更新上一帧的睡眠状态
|
||
self.context.was_sleeping = is_sleeping
|
||
|
||
# --- 重新入睡逻辑 ---
|
||
# 如果被吵醒了，并且在一定时间内没有新消息，则尝试重新入睡
|
||
if schedule_manager.get_current_sleep_state() == SleepState.WOKEN_UP and not has_new_messages:
|
||
re_sleep_delay = global_config.sleep_system.re_sleep_delay_minutes * 60
|
||
# 使用 last_message_time 来判断空闲时间
|
||
if time.time() - self.context.last_message_time > re_sleep_delay:
|
||
logger.info(
|
||
f"{self.context.log_prefix} 已被唤醒且超过 {re_sleep_delay / 60} 分钟无新消息，尝试重新入睡。"
|
||
)
|
||
schedule_manager.reset_sleep_state_after_wakeup()
|
||
|
||
# 保存HFC上下文状态
|
||
self.context.save_context_state()
|
||
|
||
return has_new_messages
|
||
|
||
|
||
def _handle_wakeup_messages(self, messages):
|
||
"""
|
||
处理休眠状态下的消息，累积唤醒度
|
||
|
||
Args:
|
||
messages: 消息列表
|
||
|
||
功能说明:
|
||
- 区分私聊和群聊消息
|
||
- 检查群聊消息是否艾特了机器人
|
||
- 调用唤醒度管理器累积唤醒度
|
||
- 如果达到阈值则唤醒并进入愤怒状态
|
||
"""
|
||
if not self.wakeup_manager:
|
||
return
|
||
|
||
is_private_chat = self.context.chat_stream.group_info is None if self.context.chat_stream else False
|
||
|
||
for message in messages:
|
||
is_mentioned = False
|
||
|
||
# 检查群聊消息是否艾特了机器人
|
||
if not is_private_chat:
|
||
# 最终修复：直接使用消息对象中由上游处理好的 is_mention 字段。
|
||
# 该字段在 message.py 的 MessageRecv._process_single_segment 中被设置。
|
||
if message.get("is_mentioned"):
|
||
is_mentioned = True
|
||
|
||
# 累积唤醒度
|
||
woke_up = self.wakeup_manager.add_wakeup_value(is_private_chat, is_mentioned)
|
||
|
||
if woke_up:
|
||
logger.info(f"{self.context.log_prefix} 被消息吵醒，进入愤怒状态！")
|
||
break
|
||
|
||
def _determine_form_type(self) -> str:
|
||
"""判断使用哪种形式的no_reply"""
|
||
# 检查是否启用breaking模式
|
||
if not global_config.chat.enable_breaking_mode:
|
||
logger.info(f"{self.context.log_prefix} breaking模式已禁用，使用waiting形式")
|
||
self.context.focus_energy = 1
|
||
return
|
||
|
||
# 如果连续no_reply次数少于3次，使用waiting形式
|
||
if self.context.no_reply_consecutive <= 3:
|
||
self.context.focus_energy = 1
|
||
else:
|
||
# 使用累积兴趣值而不是最近3次的记录
|
||
total_interest = self.context.breaking_accumulated_interest
|
||
|
||
# 计算调整后的阈值
|
||
adjusted_threshold = 1 / global_config.chat.get_current_talk_frequency(self.context.stream_id)
|
||
|
||
logger.info(f"{self.context.log_prefix} 累积兴趣值: {total_interest:.2f}, 调整后阈值: {adjusted_threshold:.2f}")
|
||
|
||
# 如果累积兴趣值小于阈值，进入breaking形式
|
||
if total_interest < adjusted_threshold:
|
||
logger.info(f"{self.context.log_prefix} 累积兴趣度不足，进入breaking形式")
|
||
self.context.focus_energy = random.randint(3, 6)
|
||
else:
|
||
logger.info(f"{self.context.log_prefix} 累积兴趣度充足，使用waiting形式")
|
||
self.context.focus_energy = 1
|
||
|
||
async def _should_process_messages(self, new_message: List[Dict[str, Any]]) -> tuple[bool,float]:
|
||
"""
|
||
统一判断是否应该处理消息的函数
|
||
根据当前循环模式和消息内容决定是否继续处理
|
||
"""
|
||
new_message_count = len(new_message)
|
||
|
||
talk_frequency = global_config.chat.get_current_talk_frequency(self.context.chat_stream.stream_id)
|
||
|
||
modified_exit_count_threshold = self.context.focus_energy * 0.5 / talk_frequency
|
||
modified_exit_interest_threshold = 1.5 / talk_frequency
|
||
|
||
# 计算当前批次消息的兴趣值
|
||
batch_interest = 0.0
|
||
for msg_dict in new_message:
|
||
interest_value = msg_dict.get("interest_value", 0.0)
|
||
if msg_dict.get("processed_plain_text", ""):
|
||
batch_interest += interest_value
|
||
|
||
# 在breaking形式下累积所有消息的兴趣值
|
||
if new_message_count > 0:
|
||
self.context.breaking_accumulated_interest += batch_interest
|
||
total_interest = self.context.breaking_accumulated_interest
|
||
else:
|
||
total_interest = self.context.breaking_accumulated_interest
|
||
|
||
if new_message_count >= modified_exit_count_threshold:
|
||
# 记录兴趣度到列表
|
||
self.recent_interest_records.append(total_interest)
|
||
# 重置累积兴趣值，因为已经达到了消息数量阈值
|
||
self.context.breaking_accumulated_interest = 0.0
|
||
|
||
logger.info(
|
||
f"{self.context.log_prefix} 累计消息数量达到{new_message_count}条(>{modified_exit_count_threshold:.1f})，结束等待，累积兴趣值: {total_interest:.2f}"
|
||
)
|
||
return True,total_interest/new_message_count
|
||
|
||
# 检查累计兴趣值
|
||
if new_message_count > 0:
|
||
# 只在兴趣值变化时输出log
|
||
if not hasattr(self, "_last_accumulated_interest") or total_interest != self._last_accumulated_interest:
|
||
logger.info(f"{self.context.log_prefix} breaking形式当前累积兴趣值: {total_interest:.2f}, 专注度: {global_config.chat.focus_value:.1f}")
|
||
self._last_accumulated_interest = total_interest
|
||
if total_interest >= modified_exit_interest_threshold:
|
||
# 记录兴趣度到列表
|
||
self.recent_interest_records.append(total_interest)
|
||
# 重置累积兴趣值，因为已经达到了兴趣值阈值
|
||
self.context.breaking_accumulated_interest = 0.0
|
||
logger.info(
|
||
f"{self.context.log_prefix} 累计兴趣值达到{total_interest:.2f}(>{modified_exit_interest_threshold:.1f})，结束等待"
|
||
)
|
||
return True,total_interest/new_message_count
|
||
|
||
# 每10秒输出一次等待状态
|
||
if int(time.time() - self.context.last_read_time) > 0 and int(time.time() - self.context.last_read_time) % 10 == 0:
|
||
logger.info(
|
||
f"{self.context.log_prefix} 已等待{time.time() - self.last_read_time:.0f}秒，累计{new_message_count}条消息，累积兴趣{total_interest:.1f}，继续等待..."
|
||
)
|
||
await asyncio.sleep(0.5)
|
||
|
||
return False,0.0
|