feat:pfc Lite(hearfFC）在群聊初步可用
This commit is contained in:
SengokuCola
726
src/plugins/chat_module/heartFC_chat/pf_chatting.py
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726
src/plugins/chat_module/heartFC_chat/pf_chatting.py
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import asyncio
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import time
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import traceback
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from typing import List, Optional, Dict, Any, Deque, Union, TYPE_CHECKING
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from collections import deque
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import json
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from ....config.config import global_config
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from ...chat.message import MessageRecv, BaseMessageInfo, MessageThinking, MessageSending
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from ...chat.chat_stream import ChatStream
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from ...message import UserInfo
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from src.heart_flow.heartflow import heartflow, SubHeartflow
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from src.plugins.chat.chat_stream import chat_manager
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from .messagesender import MessageManager
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from src.common.logger import get_module_logger, LogConfig, DEFAULT_CONFIG # 引入 DEFAULT_CONFIG
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from src.plugins.models.utils_model import LLMRequest
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from src.individuality.individuality import Individuality
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# 定义日志配置 (使用 loguru 格式)
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interest_log_config = LogConfig(
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console_format=DEFAULT_CONFIG["console_format"], # 使用默认控制台格式
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file_format=DEFAULT_CONFIG["file_format"] # 使用默认文件格式
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)
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logger = get_module_logger("PFChattingLoop", config=interest_log_config) # Logger Name Changed
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# Forward declaration for type hinting
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if TYPE_CHECKING:
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from .heartFC_chat import HeartFC_Chat
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PLANNER_TOOL_DEFINITION = [
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{
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"type": "function",
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"function": {
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"name": "decide_reply_action",
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"description": "根据当前聊天内容和上下文，决定机器人是否应该回复以及如何回复。",
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"parameters": {
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"type": "object",
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"properties": {
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"action": {
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"type": "string",
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"enum": ["no_reply", "text_reply", "emoji_reply"],
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"description": "决定采取的行动：'no_reply'(不回复), 'text_reply'(文本回复) 或 'emoji_reply'(表情回复)。"
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},
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"reasoning": {
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"type": "string",
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"description": "做出此决定的简要理由。"
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},
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"emoji_query": {
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"type": "string",
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"description": '如果行动是\'emoji_reply\',则指定表情的主题或概念（例如，"开心"、"困惑"）。仅在需要表情回复时提供。'
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}
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},
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"required": ["action", "reasoning"] # 强制要求提供行动和理由
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}
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}
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}
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]
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class PFChatting:
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"""
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Manages a continuous Plan-Filter-Check (now Plan-Replier-Sender) loop
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for generating replies within a specific chat stream, controlled by a timer.
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The loop runs as long as the timer > 0.
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"""
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def __init__(self, chat_id: str, heartfc_chat_instance: 'HeartFC_Chat'):
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"""
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初始化PFChatting实例。
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Args:
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chat_id: The identifier for the chat stream (e.g., stream_id).
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heartfc_chat_instance: 访问共享资源和方法的主HeartFC_Chat实例。
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"""
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self.heartfc_chat = heartfc_chat_instance # 访问logger, gpt, tool_user, _send_response_messages等。
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self.stream_id: str = chat_id
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self.chat_stream: Optional[ChatStream] = None
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self.sub_hf: Optional[SubHeartflow] = None
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self._initialized = False
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self._init_lock = asyncio.Lock() # Ensure initialization happens only once
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self._processing_lock = asyncio.Lock() # 确保只有一个 Plan-Replier-Sender 周期在运行
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self._timer_lock = asyncio.Lock() # 用于安全更新计时器
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self.planner_llm = LLMRequest(
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model=global_config.llm_normal,
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temperature=global_config.llm_normal["temp"],
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max_tokens=1000,
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request_type="action_planning"
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)
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# Internal state for loop control
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self._loop_timer: float = 0.0 # Remaining time for the loop in seconds
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self._loop_active: bool = False # Is the loop currently running?
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self._loop_task: Optional[asyncio.Task] = None # Stores the main loop task
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self._trigger_count_this_activation: int = 0 # Counts triggers within an active period
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# Removed pending_replies as processing is now serial within the loop
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# self.pending_replies: Dict[str, PendingReply] = {}
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async def _initialize(self) -> bool:
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"""
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Lazy initialization to resolve chat_stream and sub_hf using the provided identifier.
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Ensures the instance is ready to handle triggers.
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"""
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async with self._init_lock:
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if self._initialized:
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return True
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try:
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self.chat_stream = chat_manager.get_stream(self.stream_id)
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if not self.chat_stream:
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logger.error(f"PFChatting-{self.stream_id} 获取ChatStream失败。")
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return False
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# 子心流(SubHeartflow)可能初始不存在但后续会被创建
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# 在需要它的方法中应优雅处理其可能缺失的情况
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self.sub_hf = heartflow.get_subheartflow(self.stream_id)
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if not self.sub_hf:
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logger.warning(f"PFChatting-{self.stream_id} 获取SubHeartflow失败。一些功能可能受限。")
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# 决定是否继续初始化。目前允许初始化。
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self._initialized = True
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logger.info(f"PFChatting-{self.stream_id} 初始化成功。")
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return True
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except Exception as e:
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logger.error(f"PFChatting-{self.stream_id} 初始化失败: {e}")
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logger.error(traceback.format_exc())
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return False
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async def add_time(self):
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"""
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Adds time to the loop timer with decay and starts the loop if it's not active.
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Called externally (e.g., by HeartFC_Chat) to trigger or extend activity.
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Durations: 1st trigger = 10s, 2nd = 5s, 3rd+ = 2s.
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"""
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if not self._initialized:
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if not await self._initialize():
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logger.error(f"PFChatting-{self.stream_id} 无法添加时间: 未初始化。")
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return
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async with self._timer_lock:
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duration_to_add: float = 0.0
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if not self._loop_active: # First trigger for this activation cycle
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duration_to_add = 10.0
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self._trigger_count_this_activation = 1 # Start counting for this activation
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logger.info(f"[{self.stream_id}] First trigger in activation. Adding {duration_to_add:.1f}s.")
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else: # Loop is already active, apply decay
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self._trigger_count_this_activation += 1
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if self._trigger_count_this_activation == 2:
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duration_to_add = 5.0
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logger.info(f"[{self.stream_id}] 2nd trigger in activation. Adding {duration_to_add:.1f}s.")
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else: # 3rd trigger or more
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duration_to_add = 2.0
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logger.info(f"[{self.stream_id}] {self._trigger_count_this_activation}rd/+ trigger in activation. Adding {duration_to_add:.1f}s.")
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new_timer_value = self._loop_timer + duration_to_add
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self._loop_timer = max(0, new_timer_value) # Ensure timer doesn't go negative conceptually
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logger.info(f"[{self.stream_id}] Timer is now {self._loop_timer:.1f}s.")
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if not self._loop_active and self._loop_timer > 0:
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logger.info(f"[{self.stream_id}] Timer > 0 and loop not active. Starting PF loop.")
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self._loop_active = True
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# Cancel previous task just in case (shouldn't happen if logic is correct)
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if self._loop_task and not self._loop_task.done():
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logger.warning(f"[{self.stream_id}] Found existing loop task unexpectedly during start. Cancelling it.")
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self._loop_task.cancel()
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self._loop_task = asyncio.create_task(self._run_pf_loop())
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# Add callback to reset state if loop finishes or errors out
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self._loop_task.add_done_callback(self._handle_loop_completion)
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elif self._loop_active:
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logger.debug(f"[{self.stream_id}] Loop already active. Timer extended.")
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def _handle_loop_completion(self, task: asyncio.Task):
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"""Callback executed when the _run_pf_loop task finishes."""
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try:
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# Check if the task raised an exception
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exception = task.exception()
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if exception:
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logger.error(f"[{self.stream_id}] PF loop task completed with error: {exception}")
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logger.error(traceback.format_exc())
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else:
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logger.info(f"[{self.stream_id}] PF loop task completed normally (timer likely expired or cancelled).")
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except asyncio.CancelledError:
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logger.info(f"[{self.stream_id}] PF loop task was cancelled.")
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finally:
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# Reset state regardless of how the task finished
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self._loop_active = False
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self._loop_task = None
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# Ensure lock is released if the loop somehow exited while holding it
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if self._processing_lock.locked():
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logger.warning(f"[{self.stream_id}] Releasing processing lock after loop task completion.")
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self._processing_lock.release()
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logger.info(f"[{self.stream_id}] Loop state reset.")
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async def _run_pf_loop(self):
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"""
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主循环，当计时器>0时持续进行计划并可能回复消息
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管理每个循环周期的处理锁
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"""
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logger.info(f"[{self.stream_id}] 开始执行PF循环")
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try:
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while True:
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# 使用计时器锁安全地检查当前计时器值
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async with self._timer_lock:
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current_timer = self._loop_timer
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if current_timer <= 0:
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logger.info(f"[{self.stream_id}] 计时器为零或负数({current_timer:.1f}秒)，退出PF循环")
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break # 退出条件：计时器到期
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# 记录循环开始时间
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loop_cycle_start_time = time.monotonic()
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# 标记本周期是否执行了操作
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action_taken_this_cycle = False
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# 获取处理锁，确保每个计划-回复-发送周期独占执行
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acquired_lock = False
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try:
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await self._processing_lock.acquire()
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acquired_lock = True
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logger.debug(f"[{self.stream_id}] 循环获取到处理锁")
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# --- Planner ---
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# Planner decides action, reasoning, emoji_query, etc.
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planner_result = await self._planner() # Modify planner to return decision dict
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action = planner_result.get("action", "error")
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reasoning = planner_result.get("reasoning", "Planner did not provide reasoning.")
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emoji_query = planner_result.get("emoji_query", "")
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current_mind = planner_result.get("current_mind", "[Mind unavailable]")
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send_emoji_from_tools = planner_result.get("send_emoji_from_tools", "")
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observed_messages = planner_result.get("observed_messages", []) # Planner needs to return this
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if action == "text_reply":
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logger.info(f"[{self.stream_id}] 计划循环决定: 回复文本.")
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action_taken_this_cycle = True
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# --- 回复器 ---
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anchor_message = await self._get_anchor_message(observed_messages)
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if not anchor_message:
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logger.error(f"[{self.stream_id}] 循环: 无法获取锚点消息用于回复. 跳过周期.")
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else:
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thinking_id = await self.heartfc_chat._create_thinking_message(anchor_message)
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if not thinking_id:
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logger.error(f"[{self.stream_id}] 循环: 无法创建思考ID. 跳过周期.")
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else:
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replier_result = None
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try:
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# 直接 await 回复器工作
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replier_result = await self._replier_work(
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observed_messages=observed_messages,
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anchor_message=anchor_message,
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thinking_id=thinking_id,
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current_mind=current_mind,
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send_emoji=send_emoji_from_tools
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)
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except Exception as e_replier:
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logger.error(f"[{self.stream_id}] 循环: 回复器工作失败: {e_replier}")
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self._cleanup_thinking_message(thinking_id) # 清理思考消息
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# 继续循环, 视为非操作周期
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if replier_result:
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# --- Sender ---
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try:
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await self._sender(thinking_id, anchor_message, replier_result)
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logger.info(f"[{self.stream_id}] 循环: 发送器完成成功.")
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except Exception as e_sender:
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logger.error(f"[{self.stream_id}] 循环: 发送器失败: {e_sender}")
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self._cleanup_thinking_message(thinking_id) # 确保发送失败时清理
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# 继续循环, 视为非操作周期
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else:
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# Replier failed to produce result
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logger.warning(f"[{self.stream_id}] 循环: 回复器未产生结果. 跳过发送.")
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self._cleanup_thinking_message(thinking_id) # 清理思考消息
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elif action == "emoji_reply":
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logger.info(f"[{self.stream_id}] 计划循环决定: 回复表情 ('{emoji_query}').")
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action_taken_this_cycle = True
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anchor = await self._get_anchor_message(observed_messages)
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if anchor:
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try:
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await self.heartfc_chat._handle_emoji(anchor, [], emoji_query)
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except Exception as e_emoji:
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logger.error(f"[{self.stream_id}] 循环: 发送表情失败: {e_emoji}")
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else:
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logger.warning(f"[{self.stream_id}] 循环: 无法发送表情, 无法获取锚点.")
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elif action == "no_reply":
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logger.info(f"[{self.stream_id}] 计划循环决定: 不回复. 原因: {reasoning}")
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# Do nothing else, action_taken_this_cycle remains False
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elif action == "error":
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logger.error(f"[{self.stream_id}] 计划循环返回错误或失败. 原因: {reasoning}")
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# 视为非操作周期
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else: # Unknown action
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logger.warning(f"[{self.stream_id}] 计划循环返回未知动作: {action}. 视为不回复.")
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# 视为非操作周期
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except Exception as e_cycle:
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# Catch errors occurring within the locked section (e.g., planner crash)
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logger.error(f"[{self.stream_id}] 循环周期执行时发生错误: {e_cycle}")
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logger.error(traceback.format_exc())
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# Ensure lock is released if an error occurs before the finally block
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if acquired_lock and self._processing_lock.locked():
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self._processing_lock.release()
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acquired_lock = False # 防止在 finally 块中重复释放
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logger.warning(f"[{self.stream_id}] 由于循环周期中的错误释放了处理锁.")
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finally:
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# Ensure the lock is always released after a cycle
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if acquired_lock:
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self._processing_lock.release()
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logger.debug(f"[{self.stream_id}] 循环释放了处理锁.")
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# --- Timer Decrement ---
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cycle_duration = time.monotonic() - loop_cycle_start_time
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async with self._timer_lock:
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self._loop_timer -= cycle_duration
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logger.debug(f"[{self.stream_id}] 循环周期耗时 {cycle_duration:.2f}s. 计时器剩余: {self._loop_timer:.1f}s.")
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# --- Delay ---
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# Add a small delay, especially if no action was taken, to prevent busy-waiting
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try:
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if not action_taken_this_cycle and cycle_duration < 1.5:
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# If nothing happened and cycle was fast, wait a bit longer
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await asyncio.sleep(1.5 - cycle_duration)
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elif cycle_duration < 0.2: # Minimum delay even if action was taken
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await asyncio.sleep(0.2)
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except asyncio.CancelledError:
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logger.info(f"[{self.stream_id}] Sleep interrupted, likely loop cancellation.")
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break # Exit loop if cancelled during sleep
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except asyncio.CancelledError:
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logger.info(f"[{self.stream_id}] PF loop task received cancellation request.")
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except Exception as e_loop_outer:
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# Catch errors outside the main cycle lock (should be rare)
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logger.error(f"[{self.stream_id}] PF loop encountered unexpected outer error: {e_loop_outer}")
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logger.error(traceback.format_exc())
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finally:
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# Reset trigger count when loop finishes
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async with self._timer_lock:
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self._trigger_count_this_activation = 0
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logger.debug(f"[{self.stream_id}] Trigger count reset to 0 as loop finishes.")
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logger.info(f"[{self.stream_id}] PF loop finished execution run.")
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# State reset (_loop_active, _loop_task) is handled by _handle_loop_completion callback
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async def _planner(self) -> Dict[str, Any]:
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"""
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规划器 (Planner): 使用LLM根据上下文决定是否和如何回复。
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Returns a dictionary containing the decision and context.
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{'action': str, 'reasoning': str, 'emoji_query': str, 'current_mind': str,
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'send_emoji_from_tools': str, 'observed_messages': List[dict]}
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"""
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observed_messages: List[dict] = []
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tool_result_info = {}
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get_mid_memory_id = []
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send_emoji_from_tools = "" # Renamed for clarity
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current_mind: Optional[str] = None
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# --- 获取最新的观察信息 ---
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try:
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if self.sub_hf and self.sub_hf._get_primary_observation():
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observation = self.sub_hf._get_primary_observation()
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logger.debug(f"[{self.stream_id}][Planner] 调用 observation.observe()...")
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await observation.observe() # 主动观察以获取最新消息
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observed_messages = observation.talking_message # 获取更新后的消息列表
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logger.debug(f"[{self.stream_id}][Planner] 获取到 {len(observed_messages)} 条观察消息。")
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else:
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logger.warning(f"[{self.stream_id}][Planner] 无法获取 SubHeartflow 或 Observation 来获取消息。")
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except Exception as e:
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logger.error(f"[{self.stream_id}][Planner] 获取观察信息时出错: {e}")
|
||||
logger.error(traceback.format_exc())
|
||||
# --- 结束获取观察信息 ---
|
||||
|
||||
# --- (Moved from _replier_work) 1. 思考前使用工具 ---
|
||||
try:
|
||||
observation_context_text = ""
|
||||
if observed_messages:
|
||||
context_texts = [msg.get('detailed_plain_text', '') for msg in observed_messages if msg.get('detailed_plain_text')]
|
||||
observation_context_text = "\n".join(context_texts)
|
||||
logger.debug(f"[{self.stream_id}][Planner] Context for tools: {observation_context_text[:100]}...")
|
||||
|
||||
if observation_context_text and self.sub_hf:
|
||||
# Ensure SubHeartflow exists for tool use context
|
||||
tool_result = await self.heartfc_chat.tool_user.use_tool(
|
||||
message_txt=observation_context_text,
|
||||
chat_stream=self.chat_stream,
|
||||
sub_heartflow=self.sub_hf
|
||||
)
|
||||
if tool_result.get("used_tools", False):
|
||||
tool_result_info = tool_result.get("structured_info", {})
|
||||
logger.debug(f"[{self.stream_id}][Planner] Tool results: {tool_result_info}")
|
||||
if "mid_chat_mem" in tool_result_info:
|
||||
get_mid_memory_id = [mem["content"] for mem in tool_result_info["mid_chat_mem"] if "content" in mem]
|
||||
if "send_emoji" in tool_result_info and tool_result_info["send_emoji"]:
|
||||
send_emoji_from_tools = tool_result_info["send_emoji"][0].get("content", "") # Use renamed var
|
||||
elif not self.sub_hf:
|
||||
logger.warning(f"[{self.stream_id}][Planner] Skipping tool use because SubHeartflow is not available.")
|
||||
|
||||
except Exception as e_tool:
|
||||
logger.error(f"[PFChatting-{self.stream_id}][Planner] Tool use failed: {e_tool}")
|
||||
# Continue even if tool use fails
|
||||
# --- 结束工具使用 ---
|
||||
|
||||
# 心流思考，然后plan
|
||||
try:
|
||||
if self.sub_hf:
|
||||
# Ensure arguments match the current do_thinking_before_reply signature
|
||||
current_mind, past_mind = await self.sub_hf.do_thinking_before_reply(
|
||||
chat_stream=self.chat_stream,
|
||||
extra_info=tool_result_info,
|
||||
obs_id=get_mid_memory_id,
|
||||
)
|
||||
logger.info(f"[{self.stream_id}][Planner] SubHeartflow thought: {current_mind}")
|
||||
else:
|
||||
logger.warning(f"[{self.stream_id}][Planner] Skipping SubHeartflow thinking because it is not available.")
|
||||
current_mind = "[心流思考不可用]" # Set a default/indicator value
|
||||
|
||||
except Exception as e_shf:
|
||||
logger.error(f"[PFChatting-{self.stream_id}][Planner] SubHeartflow thinking failed: {e_shf}")
|
||||
logger.error(traceback.format_exc())
|
||||
current_mind = "[心流思考出错]"
|
||||
|
||||
|
||||
# --- 使用 LLM 进行决策 ---
|
||||
action = "no_reply" # Default action
|
||||
emoji_query = ""
|
||||
reasoning = "默认决策或获取决策失败"
|
||||
llm_error = False # Flag for LLM failure
|
||||
|
||||
try:
|
||||
# 构建提示 (Now includes current_mind)
|
||||
prompt = self._build_planner_prompt(observed_messages, current_mind)
|
||||
logger.trace(f"[{self.stream_id}][Planner] Prompt: {prompt}")
|
||||
|
||||
# 准备 LLM 请求 Payload
|
||||
payload = {
|
||||
"model": self.planner_llm.model_name,
|
||||
"messages": [{"role": "user", "content": prompt}],
|
||||
"tools": PLANNER_TOOL_DEFINITION,
|
||||
"tool_choice": {"type": "function", "function": {"name": "decide_reply_action"}}, # 强制调用此工具
|
||||
}
|
||||
|
||||
logger.debug(f"[{self.stream_id}][Planner] 发送 Planner LLM 请求...")
|
||||
# 调用 LLM
|
||||
response = await self.planner_llm._execute_request(
|
||||
endpoint="/chat/completions", payload=payload, prompt=prompt
|
||||
)
|
||||
|
||||
# 解析 LLM 响应
|
||||
if len(response) == 3: # 期望返回 content, reasoning_content, tool_calls
|
||||
_, _, tool_calls = response
|
||||
if tool_calls and isinstance(tool_calls, list) and len(tool_calls) > 0:
|
||||
# 通常强制调用后只会有一个 tool_call
|
||||
tool_call = tool_calls[0]
|
||||
if tool_call.get("type") == "function" and tool_call.get("function", {}).get("name") == "decide_reply_action":
|
||||
try:
|
||||
arguments = json.loads(tool_call["function"]["arguments"])
|
||||
action = arguments.get("action", "no_reply")
|
||||
reasoning = arguments.get("reasoning", "未提供理由")
|
||||
if action == "emoji_reply":
|
||||
# Planner's decision overrides tool's emoji if action is emoji_reply
|
||||
emoji_query = arguments.get("emoji_query", send_emoji_from_tools) # Use tool emoji as default if planner asks for emoji
|
||||
logger.info(f"[{self.stream_id}][Planner] LLM 决策: {action}, 理由: {reasoning}, EmojiQuery: '{emoji_query}'")
|
||||
except json.JSONDecodeError as json_e:
|
||||
logger.error(f"[{self.stream_id}][Planner] 解析工具参数失败: {json_e}. Arguments: {tool_call['function'].get('arguments')}")
|
||||
action = "error"; reasoning = "工具参数解析失败"; llm_error = True
|
||||
except Exception as parse_e:
|
||||
logger.error(f"[{self.stream_id}][Planner] 处理工具参数时出错: {parse_e}")
|
||||
action = "error"; reasoning = "处理工具参数时出错"; llm_error = True
|
||||
else:
|
||||
logger.warning(f"[{self.stream_id}][Planner] LLM 未按预期调用 'decide_reply_action' 工具。Tool calls: {tool_calls}")
|
||||
action = "error"; reasoning = "LLM未调用预期工具"; llm_error = True
|
||||
else:
|
||||
logger.warning(f"[{self.stream_id}][Planner] LLM 响应中未包含有效的工具调用。Tool calls: {tool_calls}")
|
||||
action = "error"; reasoning = "LLM响应无工具调用"; llm_error = True
|
||||
else:
|
||||
logger.warning(f"[{self.stream_id}][Planner] LLM 未返回预期的工具调用响应。Response parts: {len(response)}")
|
||||
action = "error"; reasoning = "LLM响应格式错误"; llm_error = True
|
||||
|
||||
except Exception as llm_e:
|
||||
logger.error(f"[{self.stream_id}][Planner] Planner LLM 调用失败: {llm_e}")
|
||||
logger.error(traceback.format_exc())
|
||||
action = "error"; reasoning = f"LLM 调用失败: {llm_e}"; llm_error = True
|
||||
|
||||
# --- 返回决策结果 ---
|
||||
# Note: Lock release is handled by the loop now
|
||||
return {
|
||||
"action": action,
|
||||
"reasoning": reasoning,
|
||||
"emoji_query": emoji_query, # Specific query if action is emoji_reply
|
||||
"current_mind": current_mind,
|
||||
"send_emoji_from_tools": send_emoji_from_tools, # Emoji suggested by pre-thinking tools
|
||||
"observed_messages": observed_messages,
|
||||
"llm_error": llm_error # Indicate if LLM decision process failed
|
||||
}
|
||||
|
||||
async def _get_anchor_message(self, observed_messages: List[dict]) -> Optional[MessageRecv]:
|
||||
"""
|
||||
重构观察到的最后一条消息作为回复的锚点，
|
||||
如果重构失败或观察为空，则创建一个占位符。
|
||||
"""
|
||||
if not self.chat_stream:
|
||||
logger.error(f"[PFChatting-{self.stream_id}] 无法获取锚点消息: ChatStream 不可用.")
|
||||
return None
|
||||
|
||||
try:
|
||||
last_msg_dict = None
|
||||
if observed_messages:
|
||||
last_msg_dict = observed_messages[-1]
|
||||
|
||||
if last_msg_dict:
|
||||
try:
|
||||
# Attempt reconstruction from the last observed message dictionary
|
||||
anchor_message = MessageRecv(last_msg_dict, chat_stream=self.chat_stream)
|
||||
# Basic validation
|
||||
if not (anchor_message and anchor_message.message_info and anchor_message.message_info.message_id and anchor_message.message_info.user_info):
|
||||
raise ValueError("重构的 MessageRecv 缺少必要信息.")
|
||||
logger.debug(f"[{self.stream_id}] 重构的锚点消息: ID={anchor_message.message_info.message_id}")
|
||||
return anchor_message
|
||||
except Exception as e_reconstruct:
|
||||
logger.warning(f"[{self.stream_id}] 从观察到的消息重构 MessageRecv 失败: {e_reconstruct}. 创建占位符.")
|
||||
else:
|
||||
logger.warning(f"[{self.stream_id}] observed_messages 为空. 创建占位符锚点消息.")
|
||||
|
||||
# --- Create Placeholder ---
|
||||
placeholder_id = f"mid_pf_{int(time.time() * 1000)}"
|
||||
placeholder_user = UserInfo(user_id="system_trigger", user_nickname="System Trigger", platform=self.chat_stream.platform)
|
||||
placeholder_msg_info = BaseMessageInfo(
|
||||
message_id=placeholder_id,
|
||||
platform=self.chat_stream.platform,
|
||||
group_info=self.chat_stream.group_info,
|
||||
user_info=placeholder_user,
|
||||
time=time.time()
|
||||
)
|
||||
placeholder_msg_dict = {
|
||||
"message_info": placeholder_msg_info.to_dict(),
|
||||
"processed_plain_text": "[System Trigger Context]", # Placeholder text
|
||||
"raw_message": "",
|
||||
"time": placeholder_msg_info.time,
|
||||
}
|
||||
anchor_message = MessageRecv(placeholder_msg_dict)
|
||||
anchor_message.update_chat_stream(self.chat_stream) # Associate with the stream
|
||||
logger.info(f"[{self.stream_id}] Created placeholder anchor message: ID={anchor_message.message_info.message_id}")
|
||||
return anchor_message
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"[PFChatting-{self.stream_id}] Error getting/creating anchor message: {e}")
|
||||
logger.error(traceback.format_exc())
|
||||
return None
|
||||
|
||||
def _cleanup_thinking_message(self, thinking_id: str):
|
||||
"""Safely removes the thinking message."""
|
||||
try:
|
||||
container = MessageManager().get_container(self.stream_id)
|
||||
container.remove_message(thinking_id, msg_type=MessageThinking)
|
||||
logger.debug(f"[{self.stream_id}] Cleaned up thinking message {thinking_id}.")
|
||||
except Exception as e:
|
||||
logger.error(f"[{self.stream_id}] Error cleaning up thinking message {thinking_id}: {e}")
|
||||
|
||||
|
||||
async def _sender(self, thinking_id: str, anchor_message: MessageRecv, replier_result: Dict[str, Any]):
|
||||
"""
|
||||
发送器 (Sender): 使用HeartFC_Chat的方法发送生成的回复。
|
||||
被 _run_pf_loop 直接调用和 await。
|
||||
也处理相关的操作，如发送表情和更新关系。
|
||||
Raises exception on failure to signal the loop.
|
||||
"""
|
||||
# replier_result should contain 'response_set' and 'send_emoji'
|
||||
response_set = replier_result.get("response_set")
|
||||
send_emoji = replier_result.get("send_emoji", "") # Emoji determined by tools, passed via replier
|
||||
|
||||
if not response_set:
|
||||
logger.error(f"[PFChatting-{self.stream_id}][Sender-{thinking_id}] Called with empty response_set.")
|
||||
# Clean up thinking message before raising error
|
||||
self._cleanup_thinking_message(thinking_id)
|
||||
raise ValueError("Sender called with no response_set") # Signal failure to loop
|
||||
|
||||
first_bot_msg: Optional[MessageSending] = None
|
||||
send_success = False
|
||||
try:
|
||||
# --- Send the main text response ---
|
||||
logger.debug(f"[{self.stream_id}][Sender-{thinking_id}] Sending response messages...")
|
||||
# This call implicitly handles replacing the MessageThinking with MessageSending/MessageSet
|
||||
first_bot_msg = await self.heartfc_chat._send_response_messages(anchor_message, response_set, thinking_id)
|
||||
|
||||
if first_bot_msg:
|
||||
send_success = True # Mark success
|
||||
logger.info(f"[PFChatting-{self.stream_id}][Sender-{thinking_id}] Successfully sent reply.")
|
||||
|
||||
# --- Handle associated emoji (if determined by tools) ---
|
||||
if send_emoji:
|
||||
logger.info(f"[PFChatting-{self.stream_id}][Sender-{thinking_id}] Sending associated emoji: {send_emoji}")
|
||||
try:
|
||||
# Use first_bot_msg as anchor if available, otherwise fallback to original anchor
|
||||
emoji_anchor = first_bot_msg if first_bot_msg else anchor_message
|
||||
await self.heartfc_chat._handle_emoji(emoji_anchor, response_set, send_emoji)
|
||||
except Exception as e_emoji:
|
||||
logger.error(f"[PFChatting-{self.stream_id}][Sender-{thinking_id}] Failed to send associated emoji: {e_emoji}")
|
||||
# Log error but don't fail the whole send process for emoji failure
|
||||
|
||||
# --- Update relationship ---
|
||||
try:
|
||||
await self.heartfc_chat._update_relationship(anchor_message, response_set)
|
||||
logger.debug(f"[PFChatting-{self.stream_id}][Sender-{thinking_id}] Updated relationship.")
|
||||
except Exception as e_rel:
|
||||
logger.error(f"[PFChatting-{self.stream_id}][Sender-{thinking_id}] Failed to update relationship: {e_rel}")
|
||||
# Log error but don't fail the whole send process for relationship update failure
|
||||
|
||||
else:
|
||||
# Sending failed (e.g., _send_response_messages found thinking message already gone)
|
||||
send_success = False
|
||||
logger.warning(f"[PFChatting-{self.stream_id}][Sender-{thinking_id}] Failed to send reply (maybe thinking message expired or was removed?).")
|
||||
# No need to clean up thinking message here, _send_response_messages implies it's gone or handled
|
||||
raise RuntimeError("Sending reply failed, _send_response_messages returned None.") # Signal failure
|
||||
|
||||
|
||||
except Exception as e:
|
||||
# Catch potential errors during sending or post-send actions
|
||||
logger.error(f"[PFChatting-{self.stream_id}][Sender-{thinking_id}] Error during sending process: {e}")
|
||||
logger.error(traceback.format_exc())
|
||||
# Ensure thinking message is cleaned up if send failed mid-way and wasn't handled
|
||||
if not send_success:
|
||||
self._cleanup_thinking_message(thinking_id)
|
||||
raise # Re-raise the exception to signal failure to the loop
|
||||
|
||||
# No finally block needed for lock management
|
||||
|
||||
|
||||
async def shutdown(self):
|
||||
"""
|
||||
Gracefully shuts down the PFChatting instance by cancelling the active loop task.
|
||||
"""
|
||||
logger.info(f"[{self.stream_id}] Shutting down PFChatting...")
|
||||
if self._loop_task and not self._loop_task.done():
|
||||
logger.info(f"[{self.stream_id}] Cancelling active PF loop task.")
|
||||
self._loop_task.cancel()
|
||||
try:
|
||||
# Wait briefly for the task to acknowledge cancellation
|
||||
await asyncio.wait_for(self._loop_task, timeout=5.0)
|
||||
except asyncio.CancelledError:
|
||||
logger.info(f"[{self.stream_id}] PF loop task cancelled successfully.")
|
||||
except asyncio.TimeoutError:
|
||||
logger.warning(f"[{self.stream_id}] Timeout waiting for PF loop task cancellation.")
|
||||
except Exception as e:
|
||||
logger.error(f"[{self.stream_id}] Error during loop task cancellation: {e}")
|
||||
else:
|
||||
logger.info(f"[{self.stream_id}] No active PF loop task found to cancel.")
|
||||
|
||||
# Ensure loop state is reset even if task wasn't running or cancellation failed
|
||||
self._loop_active = False
|
||||
self._loop_task = None
|
||||
|
||||
# Double-check lock state (should be released by loop completion/cancellation handler)
|
||||
if self._processing_lock.locked():
|
||||
logger.warning(f"[{self.stream_id}] Releasing processing lock during shutdown.")
|
||||
self._processing_lock.release()
|
||||
|
||||
logger.info(f"[{self.stream_id}] PFChatting shutdown complete.")
|
||||
|
||||
def _build_planner_prompt(self, observed_messages: List[dict], current_mind: Optional[str]) -> str:
|
||||
"""构建 Planner LLM 的提示词 (现在包含 current_mind)"""
|
||||
prompt = "你是一个聊天机器人助手，正在决定是否以及如何回应当前的聊天。\n"
|
||||
prompt += f"你的名字是 {global_config.BOT_NICKNAME}。\n"
|
||||
|
||||
# Add current mind state if available
|
||||
if current_mind:
|
||||
prompt += f"\n你当前的内部想法是：\n---\n{current_mind}\n---\n\n"
|
||||
else:
|
||||
prompt += "\n你当前没有特别的内部想法。\n"
|
||||
|
||||
if observed_messages:
|
||||
context_text = "\n".join([msg.get('detailed_plain_text', '') for msg in observed_messages if msg.get('detailed_plain_text')])
|
||||
prompt += "观察到的最新聊天内容如下：\n---\n"
|
||||
prompt += context_text[:1500] # Limit context length
|
||||
prompt += "\n---\n"
|
||||
else:
|
||||
prompt += "当前没有观察到新的聊天内容。\n"
|
||||
|
||||
prompt += "\n请结合你的内部想法和观察到的聊天内容，分析情况并使用 'decide_reply_action' 工具来决定你的最终行动。\n"
|
||||
prompt += "决策依据：\n"
|
||||
prompt += "1. 如果聊天内容无聊、与你无关、或者你的内部想法认为不适合回复，选择 'no_reply'。\n"
|
||||
prompt += "2. 如果聊天内容值得回应，且适合用文字表达（参考你的内部想法），选择 'text_reply'。\n"
|
||||
prompt += "3. 如果聊天内容或你的内部想法适合用一个表情来回应，选择 'emoji_reply' 并提供表情主题 'emoji_query'。\n"
|
||||
prompt += "必须调用 'decide_reply_action' 工具并提供 'action' 和 'reasoning'。"
|
||||
|
||||
return prompt
|
||||
|
||||
# --- 回复器 (Replier) 的定义 --- #
|
||||
async def _replier_work(self, observed_messages: List[dict], anchor_message: MessageRecv, thinking_id: str, current_mind: Optional[str], send_emoji: str) -> Optional[Dict[str, Any]]:
|
||||
"""
|
||||
回复器 (Replier): 核心逻辑用于生成回复。
|
||||
被 _run_pf_loop 直接调用和 await。
|
||||
Returns dict with 'response_set' and 'send_emoji' or None on failure.
|
||||
"""
|
||||
response_set: Optional[List[str]] = None
|
||||
try:
|
||||
# --- Tool Use and SubHF Thinking are now in _planner ---
|
||||
|
||||
# --- Generate Response with LLM ---
|
||||
logger.debug(f"[{self.stream_id}][Replier-{thinking_id}] Calling LLM to generate response...")
|
||||
# 注意：实际的生成调用是在 self.heartfc_chat.gpt.generate_response 中
|
||||
response_set = await self.heartfc_chat.gpt.generate_response(
|
||||
anchor_message,
|
||||
thinking_id
|
||||
# current_mind 不再直接传递给 gpt.generate_response，
|
||||
# 因为 generate_response 内部会通过 thinking_id 或其他方式获取所需上下文
|
||||
)
|
||||
|
||||
if not response_set:
|
||||
logger.warning(f"[{self.stream_id}][Replier-{thinking_id}] LLM生成了一个空回复集。")
|
||||
return None # Indicate failure
|
||||
|
||||
# --- 准备并返回结果 ---
|
||||
logger.info(f"[{self.stream_id}][Replier-{thinking_id}] 成功生成了回复集: {' '.join(response_set)[:50]}...")
|
||||
return {
|
||||
"response_set": response_set,
|
||||
"send_emoji": send_emoji, # Pass through the emoji determined earlier (usually by tools)
|
||||
}
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"[PFChatting-{self.stream_id}][Replier-{thinking_id}] Unexpected error in replier_work: {e}")
|
||||
logger.error(traceback.format_exc())
|
||||
return None # Indicate failure
|
||||
Reference in New Issue
Block a user