319 lines
14 KiB
Python
319 lines
14 KiB
Python
import asyncio
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import time
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import traceback
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import random
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from typing import List, Optional, Dict # 导入类型提示
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import os
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import pickle
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from maim_message import UserInfo, Seg
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from src.common.logger import get_logger
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from src.chat.heart_flow.utils_chat import get_chat_type_and_target_info
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from src.manager.mood_manager import mood_manager
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from src.chat.message_receive.chat_stream import ChatStream, get_chat_manager
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from src.chat.utils.timer_calculator import Timer
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from src.chat.utils.prompt_builder import global_prompt_manager
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from .s4u_stream_generator import S4UStreamGenerator
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from src.chat.message_receive.message import MessageSending, MessageRecv, MessageThinking, MessageSet
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from src.chat.message_receive.message_sender import message_manager
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from src.chat.normal_chat.willing.willing_manager import get_willing_manager
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from src.chat.normal_chat.normal_chat_utils import get_recent_message_stats
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from src.config.config import global_config
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from src.chat.focus_chat.planners.action_manager import ActionManager
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from src.chat.normal_chat.normal_chat_planner import NormalChatPlanner
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from src.chat.normal_chat.normal_chat_action_modifier import NormalChatActionModifier
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from src.chat.normal_chat.normal_chat_expressor import NormalChatExpressor
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from src.chat.focus_chat.replyer.default_generator import DefaultReplyer
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from src.person_info.person_info import PersonInfoManager
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from src.person_info.relationship_manager import get_relationship_manager
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from src.chat.utils.chat_message_builder import (
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get_raw_msg_by_timestamp_with_chat,
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get_raw_msg_by_timestamp_with_chat_inclusive,
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get_raw_msg_before_timestamp_with_chat,
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num_new_messages_since,
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)
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from src.common.message.api import get_global_api
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from src.chat.message_receive.storage import MessageStorage
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from src.audio.mock_audio import MockAudioGenerator, MockAudioPlayer
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logger = get_logger("S4U_chat")
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class MessageSenderContainer:
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"""一个简单的容器，用于按顺序发送消息并模拟打字效果。"""
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def __init__(self, chat_stream: ChatStream, original_message: MessageRecv):
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self.chat_stream = chat_stream
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self.original_message = original_message
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self.queue = asyncio.Queue()
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self.storage = MessageStorage()
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self._task: Optional[asyncio.Task] = None
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self._paused_event = asyncio.Event()
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self._paused_event.set() # 默认设置为非暂停状态
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async def add_message(self, chunk: str):
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"""向队列中添加一个消息块。"""
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await self.queue.put(chunk)
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async def close(self):
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"""表示没有更多消息了，关闭队列。"""
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await self.queue.put(None) # Sentinel
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def pause(self):
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"""暂停发送。"""
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self._paused_event.clear()
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def resume(self):
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"""恢复发送。"""
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self._paused_event.set()
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def _calculate_typing_delay(self, text: str) -> float:
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"""根据文本长度计算模拟打字延迟。"""
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chars_per_second = 15.0
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min_delay = 0.2
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max_delay = 2.0
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delay = len(text) / chars_per_second
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return max(min_delay, min(delay, max_delay))
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async def _send_worker(self):
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"""从队列中取出消息并发送。"""
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while True:
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try:
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# This structure ensures that task_done() is called for every item retrieved,
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# even if the worker is cancelled while processing the item.
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chunk = await self.queue.get()
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except asyncio.CancelledError:
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break
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try:
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if chunk is None:
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break
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# Check for pause signal *after* getting an item.
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await self._paused_event.wait()
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# delay = self._calculate_typing_delay(chunk)
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delay = 0.1
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await asyncio.sleep(delay)
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current_time = time.time()
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msg_id = f"{current_time}_{random.randint(1000, 9999)}"
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text_to_send = chunk
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if global_config.experimental.debug_show_chat_mode:
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text_to_send += "ⁿ"
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message_segment = Seg(type="text", data=text_to_send)
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bot_message = MessageSending(
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message_id=msg_id,
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chat_stream=self.chat_stream,
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bot_user_info=UserInfo(
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user_id=global_config.bot.qq_account,
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user_nickname=global_config.bot.nickname,
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platform=self.original_message.message_info.platform,
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),
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sender_info=self.original_message.message_info.user_info,
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message_segment=message_segment,
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reply=self.original_message,
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is_emoji=False,
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apply_set_reply_logic=True,
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reply_to=f"{self.original_message.message_info.user_info.platform}:{self.original_message.message_info.user_info.user_id}"
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)
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await bot_message.process()
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await get_global_api().send_message(bot_message)
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logger.info(f"已将消息 '{text_to_send}' 发往平台 '{bot_message.message_info.platform}'")
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await self.storage.store_message(bot_message, self.chat_stream)
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except Exception as e:
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logger.error(f"[{self.chat_stream.get_stream_name()}] 消息发送或存储时出现错误: {e}", exc_info=True)
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finally:
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# CRUCIAL: Always call task_done() for any item that was successfully retrieved.
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self.queue.task_done()
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def start(self):
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"""启动发送任务。"""
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if self._task is None:
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self._task = asyncio.create_task(self._send_worker())
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async def join(self):
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"""等待所有消息发送完毕。"""
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if self._task:
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await self._task
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class S4UChatManager:
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def __init__(self):
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self.s4u_chats: Dict[str, "S4UChat"] = {}
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def get_or_create_chat(self, chat_stream: ChatStream) -> "S4UChat":
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if chat_stream.stream_id not in self.s4u_chats:
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stream_name = get_chat_manager().get_stream_name(chat_stream.stream_id) or chat_stream.stream_id
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logger.info(f"Creating new S4UChat for stream: {stream_name}")
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self.s4u_chats[chat_stream.stream_id] = S4UChat(chat_stream)
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return self.s4u_chats[chat_stream.stream_id]
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s4u_chat_manager = S4UChatManager()
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def get_s4u_chat_manager() -> S4UChatManager:
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return s4u_chat_manager
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class S4UChat:
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def __init__(self, chat_stream: ChatStream):
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"""初始化 S4UChat 实例。"""
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self.chat_stream = chat_stream
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self.stream_id = chat_stream.stream_id
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self.stream_name = get_chat_manager().get_stream_name(self.stream_id) or self.stream_id
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self._message_queue = asyncio.Queue()
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self._processing_task = asyncio.create_task(self._message_processor())
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self._current_generation_task: Optional[asyncio.Task] = None
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self._current_message_being_replied: Optional[MessageRecv] = None
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self._is_replying = False
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self.gpt = S4UStreamGenerator()
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# self.audio_generator = MockAudioGenerator()
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logger.info(f"[{self.stream_name}] S4UChat")
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# 改为实例方法, 移除 chat 参数
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async def response(self, message: MessageRecv, is_mentioned: bool, interested_rate: float) -> None:
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"""将消息放入队列并根据发信人决定是否中断当前处理。"""
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should_interrupt = False
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if self._current_generation_task and not self._current_generation_task.done():
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if self._current_message_being_replied:
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# 检查新消息发送者和正在回复的消息发送者是否为同一人
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new_sender_id = message.message_info.user_info.user_id
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original_sender_id = self._current_message_being_replied.message_info.user_info.user_id
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if new_sender_id == original_sender_id:
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should_interrupt = True
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logger.info(f"[{self.stream_name}] 来自同一用户的消息，中断当前回复。")
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else:
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if random.random() < 0.2:
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should_interrupt = True
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logger.info(f"[{self.stream_name}] 来自不同用户的消息，随机中断(20%)。")
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else:
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logger.info(f"[{self.stream_name}] 来自不同用户的消息，不中断。")
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else:
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# Fallback: if we don't know who we are replying to, interrupt.
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should_interrupt = True
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logger.warning(f"[{self.stream_name}] 正在生成回复，但无法获取原始消息发送者信息，将默认中断。")
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if should_interrupt:
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self._current_generation_task.cancel()
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logger.info(f"[{self.stream_name}] 请求中断当前回复生成任务。")
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await self._message_queue.put(message)
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async def _message_processor(self):
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"""从队列中处理消息，支持中断。"""
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while True:
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try:
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# 等待第一条消息
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message = await self._message_queue.get()
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self._current_message_being_replied = message
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# 如果因快速中断导致队列中积压了更多消息，则只处理最新的一条
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while not self._message_queue.empty():
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drained_msg = self._message_queue.get_nowait()
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self._message_queue.task_done() # 为取出的旧消息调用 task_done
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message = drained_msg # 始终处理最新消息
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self._current_message_being_replied = message
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logger.info(f"[{self.stream_name}] 丢弃过时消息，处理最新消息: {message.processed_plain_text}")
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self._current_generation_task = asyncio.create_task(self._generate_and_send(message))
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try:
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await self._current_generation_task
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except asyncio.CancelledError:
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logger.info(f"[{self.stream_name}] 回复生成被外部中断。")
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except Exception as e:
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logger.error(f"[{self.stream_name}] _generate_and_send 任务出现错误: {e}", exc_info=True)
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finally:
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self._current_generation_task = None
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self._current_message_being_replied = None
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except asyncio.CancelledError:
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logger.info(f"[{self.stream_name}] 消息处理器正在关闭。")
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break
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except Exception as e:
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logger.error(f"[{self.stream_name}] 消息处理器主循环发生未知错误: {e}", exc_info=True)
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await asyncio.sleep(1) # 避免在未知错误下陷入CPU空转
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finally:
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# 确保处理过的消息（无论是正常完成还是被丢弃）都被标记完成
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if 'message' in locals():
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self._message_queue.task_done()
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async def _generate_and_send(self, message: MessageRecv):
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"""为单个消息生成文本和音频回复。整个过程可以被中断。"""
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self._is_replying = True
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sender_container = MessageSenderContainer(self.chat_stream, message)
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sender_container.start()
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try:
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logger.info(
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f"[S4U] 开始为消息生成文本和音频流: "
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f"'{message.processed_plain_text[:30]}...'"
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)
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# 1. 逐句生成文本、发送并播放音频
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gen = self.gpt.generate_response(message, "")
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async for chunk in gen:
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# 如果任务被取消，await 会在此处引发 CancelledError
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# a. 发送文本块
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await sender_container.add_message(chunk)
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# b. 为该文本块生成并播放音频
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# if chunk.strip():
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# audio_data = await self.audio_generator.generate(chunk)
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# player = MockAudioPlayer(audio_data)
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# await player.play()
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# 等待所有文本消息发送完成
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await sender_container.close()
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await sender_container.join()
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logger.info(f"[{self.stream_name}] 所有文本和音频块处理完毕。")
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except asyncio.CancelledError:
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logger.info(f"[{self.stream_name}] 回复流程（文本或音频）被中断。")
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raise # 将取消异常向上传播
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except Exception as e:
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logger.error(f"[{self.stream_name}] 回复生成过程中出现错误: {e}", exc_info=True)
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finally:
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self._is_replying = False
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# 确保发送器被妥善关闭（即使已关闭，再次调用也是安全的）
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sender_container.resume()
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if not sender_container._task.done():
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await sender_container.close()
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await sender_container.join()
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logger.info(f"[{self.stream_name}] _generate_and_send 任务结束，资源已清理。")
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async def shutdown(self):
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"""平滑关闭处理任务。"""
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logger.info(f"正在关闭 S4UChat: {self.stream_name}")
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# 取消正在运行的任务
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if self._current_generation_task and not self._current_generation_task.done():
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self._current_generation_task.cancel()
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if self._processing_task and not self._processing_task.done():
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self._processing_task.cancel()
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# 等待任务响应取消
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try:
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await self._processing_task
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except asyncio.CancelledError:
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logger.info(f"处理任务已成功取消: {self.stream_name}") |