🤖 自动格式化代码 [skip ci]
This commit is contained in:
github-actions[bot]
@@ -11,15 +11,15 @@ 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.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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# 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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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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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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@@ -38,30 +38,29 @@ PLANNER_TOOL_DEFINITION = [
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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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"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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"reasoning": {"type": "string", "description": "做出此决定的简要理由。"},
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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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"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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"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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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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@@ -69,34 +68,33 @@ class PFChatting:
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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.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._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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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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self._initial_duration: float = 30.0 # 首次触发增加的时间
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self._last_added_duration: float = self._initial_duration # <--- 新增：存储上次增加的时间
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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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self._initial_duration: float = 30.0 # 首次触发增加的时间
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self._last_added_duration: float = self._initial_duration # <--- 新增：存储上次增加的时间
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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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def _get_log_prefix(self) -> str:
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"""获取日志前缀，包含可读的流名称"""
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stream_name = chat_manager.get_stream_name(self.stream_id) or self.stream_id
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@@ -110,7 +108,7 @@ class PFChatting:
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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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log_prefix = self._get_log_prefix() # 获取前缀
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log_prefix = self._get_log_prefix() # 获取前缀
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try:
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self.chat_stream = chat_manager.get_stream(self.stream_id)
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@@ -140,23 +138,25 @@ class PFChatting:
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"""
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log_prefix = self._get_log_prefix()
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if not self._initialized:
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if not await self._initialize():
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logger.error(f"{log_prefix} 无法添加时间: 未初始化。")
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return
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if not await self._initialize():
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logger.error(f"{log_prefix} 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 = self._initial_duration # 使用初始值
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self._last_added_duration = duration_to_add # 更新上次增加的值
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self._trigger_count_this_activation = 1 # Start counting
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if not self._loop_active: # First trigger for this activation cycle
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duration_to_add = self._initial_duration # 使用初始值
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self._last_added_duration = duration_to_add # 更新上次增加的值
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self._trigger_count_this_activation = 1 # Start counting
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logger.info(f"{log_prefix} First trigger in activation. Adding {duration_to_add:.2f}s.")
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else: # Loop is already active, apply 50% reduction
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else: # Loop is already active, apply 50% reduction
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self._trigger_count_this_activation += 1
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duration_to_add = self._last_added_duration * 0.5
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self._last_added_duration = duration_to_add # 更新上次增加的值
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logger.info(f"{log_prefix} Trigger #{self._trigger_count_this_activation}. Adding {duration_to_add:.2f}s (50% of previous). Timer was {self._loop_timer:.1f}s.")
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self._last_added_duration = duration_to_add # 更新上次增加的值
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logger.info(
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f"{log_prefix} Trigger #{self._trigger_count_this_activation}. Adding {duration_to_add:.2f}s (50% of previous). Timer was {self._loop_timer:.1f}s."
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)
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# 添加计算出的时间
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new_timer_value = self._loop_timer + duration_to_add
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@@ -174,8 +174,7 @@ class PFChatting:
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self._loop_task = asyncio.create_task(self._run_pf_loop())
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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"{log_prefix} Loop already active. Timer extended.")
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logger.debug(f"{log_prefix} Loop already active. Timer extended.")
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def _handle_loop_completion(self, task: asyncio.Task):
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"""当 _run_pf_loop 任务完成时执行的回调。"""
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@@ -194,14 +193,13 @@ class PFChatting:
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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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self._last_added_duration = self._initial_duration # <--- 重置下次首次触发的增加时间
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self._trigger_count_this_activation = 0 # 重置计数器
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self._last_added_duration = self._initial_duration # <--- 重置下次首次触发的增加时间
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self._trigger_count_this_activation = 0 # 重置计数器
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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"{log_prefix} PFChatting: 锁没有正常释放")
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self._processing_lock.release()
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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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@@ -214,13 +212,15 @@ class PFChatting:
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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._get_log_prefix()} PFChatting: 聊太久了，麦麦打算休息一下(已经聊了{current_timer:.1f}秒)，退出PFChatting")
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logger.info(
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f"{self._get_log_prefix()} PFChatting: 聊太久了，麦麦打算休息一下(已经聊了{current_timer:.1f}秒)，退出PFChatting"
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)
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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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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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@@ -231,13 +231,13 @@ class PFChatting:
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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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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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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._get_log_prefix()} PFChatting: 麦麦决定回复文本.")
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@@ -245,7 +245,7 @@ class PFChatting:
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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._get_log_prefix()} 循环: 无法获取锚点消息用于回复. 跳过周期.")
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logger.error(f"{self._get_log_prefix()} 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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@@ -259,12 +259,12 @@ class PFChatting:
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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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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._get_log_prefix()} 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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logger.error(f"{self._get_log_prefix()} 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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@@ -272,13 +272,13 @@ class PFChatting:
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await self._sender(thinking_id, anchor_message, replier_result)
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logger.info(f"{self._get_log_prefix()} 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._get_log_prefix()} 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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logger.error(f"{self._get_log_prefix()} 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._get_log_prefix()} 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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# Replier failed to produce result
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logger.warning(f"{self._get_log_prefix()} 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._get_log_prefix()} PFChatting: 麦麦决定回复表情 ('{emoji_query}').")
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@@ -290,19 +290,19 @@ class PFChatting:
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except Exception as e_emoji:
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logger.error(f"{self._get_log_prefix()} 循环: 发送表情失败: {e_emoji}")
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else:
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logger.warning(f"{self._get_log_prefix()} 循环: 无法发送表情, 无法获取锚点.")
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logger.warning(f"{self._get_log_prefix()} 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._get_log_prefix()} PFChatting: 麦麦决定不回复. 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._get_log_prefix()} PFChatting: 麦麦回复出错. 原因: {reasoning}")
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# 视为非操作周期
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logger.error(f"{self._get_log_prefix()} PFChatting: 麦麦回复出错. 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._get_log_prefix()} PFChatting: 麦麦做了奇怪的事情. 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._get_log_prefix()} PFChatting: 麦麦做了奇怪的事情. 原因: {reasoning}")
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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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@@ -310,9 +310,9 @@ class PFChatting:
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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._get_log_prefix()} 由于循环周期中的错误释放了处理锁.")
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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._get_log_prefix()} 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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@@ -324,26 +324,28 @@ class PFChatting:
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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._get_log_prefix()} PFChatting: 麦麦聊了{cycle_duration:.2f}秒. 还能聊: {self._loop_timer:.1f}s.")
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logger.debug(
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f"{self._get_log_prefix()} PFChatting: 麦麦聊了{cycle_duration:.2f}秒. 还能聊: {self._loop_timer:.1f}s."
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)
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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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# 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._get_log_prefix()} Sleep interrupted, likely loop cancellation.")
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break # Exit loop if cancelled during sleep
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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._get_log_prefix()} PFChatting: 麦麦的聊天被取消了")
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logger.info(f"{self._get_log_prefix()} PFChatting: 麦麦的聊天被取消了")
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except Exception as e_loop_outer:
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# Catch errors outside the main cycle lock (should be rare)
|
||||
logger.error(f"{self._get_log_prefix()} PFChatting: 麦麦的聊天出错了: {e_loop_outer}")
|
||||
logger.error(traceback.format_exc())
|
||||
# Catch errors outside the main cycle lock (should be rare)
|
||||
logger.error(f"{self._get_log_prefix()} PFChatting: 麦麦的聊天出错了: {e_loop_outer}")
|
||||
logger.error(traceback.format_exc())
|
||||
finally:
|
||||
# Reset trigger count when loop finishes
|
||||
async with self._timer_lock:
|
||||
@@ -363,7 +365,7 @@ class PFChatting:
|
||||
observed_messages: List[dict] = []
|
||||
tool_result_info = {}
|
||||
get_mid_memory_id = []
|
||||
send_emoji_from_tools = "" # Renamed for clarity
|
||||
send_emoji_from_tools = "" # Renamed for clarity
|
||||
current_mind: Optional[str] = None
|
||||
|
||||
# --- 获取最新的观察信息 ---
|
||||
@@ -371,8 +373,8 @@ class PFChatting:
|
||||
if self.sub_hf and self.sub_hf._get_primary_observation():
|
||||
observation = self.sub_hf._get_primary_observation()
|
||||
logger.debug(f"{log_prefix}[Planner] 调用 observation.observe()...")
|
||||
await observation.observe() # 主动观察以获取最新消息
|
||||
observed_messages = observation.talking_message # 获取更新后的消息列表
|
||||
await observation.observe() # 主动观察以获取最新消息
|
||||
observed_messages = observation.talking_message # 获取更新后的消息列表
|
||||
logger.debug(f"{log_prefix}[Planner] 获取到 {len(observed_messages)} 条观察消息。")
|
||||
else:
|
||||
logger.warning(f"{log_prefix}[Planner] 无法获取 SubHeartflow 或 Observation 来获取消息。")
|
||||
@@ -385,26 +387,28 @@ class PFChatting:
|
||||
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')]
|
||||
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"{log_prefix}[Planner] Context for tools: {observation_context_text[:100]}...")
|
||||
|
||||
if observation_context_text and self.sub_hf:
|
||||
# Ensure SubHeartflow exists for tool use context
|
||||
# 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
|
||||
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"{log_prefix}[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]
|
||||
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
|
||||
send_emoji_from_tools = tool_result_info["send_emoji"][0].get("content", "") # Use renamed var
|
||||
elif not self.sub_hf:
|
||||
logger.warning(f"{log_prefix}[Planner] Skipping tool use because SubHeartflow is not available.")
|
||||
logger.warning(f"{log_prefix}[Planner] Skipping tool use because SubHeartflow is not available.")
|
||||
|
||||
except Exception as e_tool:
|
||||
logger.error(f"{log_prefix}[Planner] Tool use failed: {e_tool}")
|
||||
@@ -422,20 +426,19 @@ class PFChatting:
|
||||
)
|
||||
logger.info(f"{log_prefix}[Planner] SubHeartflow thought: {current_mind}")
|
||||
else:
|
||||
logger.warning(f"{log_prefix}[Planner] Skipping SubHeartflow thinking because it is not available.")
|
||||
current_mind = "[心流思考不可用]" # Set a default/indicator value
|
||||
logger.warning(f"{log_prefix}[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"{log_prefix}[Planner] SubHeartflow thinking failed: {e_shf}")
|
||||
logger.error(traceback.format_exc())
|
||||
current_mind = "[心流思考出错]"
|
||||
|
||||
logger.error(f"{log_prefix}[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
|
||||
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
|
||||
llm_error = False # Flag for LLM failure
|
||||
|
||||
try:
|
||||
# 构建提示 (Now includes current_mind)
|
||||
@@ -447,7 +450,7 @@ class PFChatting:
|
||||
"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
|
||||
"tool_choice": {"type": "function", "function": {"name": "decide_reply_action"}}, # 强制调用此工具
|
||||
}
|
||||
|
||||
logger.debug(f"{log_prefix}[Planner] 发送 Planner LLM 请求...")
|
||||
@@ -457,32 +460,43 @@ class PFChatting:
|
||||
)
|
||||
|
||||
# 解析 LLM 响应
|
||||
if len(response) == 3: # 期望返回 content, reasoning_content, tool_calls
|
||||
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":
|
||||
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"{log_prefix}[Planner] LLM 决策: {action}, 理由: {reasoning}, EmojiQuery: '{emoji_query}'")
|
||||
emoji_query = arguments.get(
|
||||
"emoji_query", send_emoji_from_tools
|
||||
) # Use tool emoji as default if planner asks for emoji
|
||||
logger.info(
|
||||
f"{log_prefix}[Planner] LLM 决策: {action}, 理由: {reasoning}, EmojiQuery: '{emoji_query}'"
|
||||
)
|
||||
except json.JSONDecodeError as json_e:
|
||||
logger.error(f"{log_prefix}[Planner] 解析工具参数失败: {json_e}. Arguments: {tool_call['function'].get('arguments')}")
|
||||
logger.error(
|
||||
f"{log_prefix}[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"{log_prefix}[Planner] 处理工具参数时出错: {parse_e}")
|
||||
action = "error"
|
||||
reasoning = "处理工具参数时出错"
|
||||
reasoning = "处理工具参数时出错"
|
||||
llm_error = True
|
||||
else:
|
||||
logger.warning(f"{log_prefix}[Planner] LLM 未按预期调用 'decide_reply_action' 工具。Tool calls: {tool_calls}")
|
||||
logger.warning(
|
||||
f"{log_prefix}[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
|
||||
@@ -509,11 +523,11 @@ class PFChatting:
|
||||
return {
|
||||
"action": action,
|
||||
"reasoning": reasoning,
|
||||
"emoji_query": emoji_query, # Specific query if action is emoji_reply
|
||||
"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
|
||||
"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
|
||||
"llm_error": llm_error, # Indicate if LLM decision process failed
|
||||
}
|
||||
|
||||
async def _get_anchor_message(self, observed_messages: List[dict]) -> Optional[MessageRecv]:
|
||||
@@ -535,34 +549,47 @@ class PFChatting:
|
||||
# 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):
|
||||
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._get_log_prefix()} 重构的锚点消息: ID={anchor_message.message_info.message_id}")
|
||||
logger.debug(
|
||||
f"{self._get_log_prefix()} 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._get_log_prefix()} 从观察到的消息重构 MessageRecv 失败: {e_reconstruct}. 创建占位符.")
|
||||
logger.warning(
|
||||
f"{self._get_log_prefix()} 从观察到的消息重构 MessageRecv 失败: {e_reconstruct}. 创建占位符."
|
||||
)
|
||||
else:
|
||||
logger.warning(f"{self._get_log_prefix()} 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_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()
|
||||
time=time.time(),
|
||||
)
|
||||
placeholder_msg_dict = {
|
||||
"message_info": placeholder_msg_info.to_dict(),
|
||||
"processed_plain_text": "[System Trigger Context]", # Placeholder text
|
||||
"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._get_log_prefix()} Created placeholder anchor message: ID={anchor_message.message_info.message_id}")
|
||||
anchor_message.update_chat_stream(self.chat_stream) # Associate with the stream
|
||||
logger.info(
|
||||
f"{self._get_log_prefix()} Created placeholder anchor message: ID={anchor_message.message_info.message_id}"
|
||||
)
|
||||
return anchor_message
|
||||
|
||||
except Exception as e:
|
||||
@@ -579,7 +606,6 @@ class PFChatting:
|
||||
except Exception as e:
|
||||
logger.error(f"{self._get_log_prefix()} 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。
|
||||
@@ -589,13 +615,13 @@ class PFChatting:
|
||||
"""
|
||||
# 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
|
||||
send_emoji = replier_result.get("send_emoji", "") # Emoji determined by tools, passed via replier
|
||||
|
||||
if not response_set:
|
||||
logger.error(f"{self._get_log_prefix()}[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
|
||||
logger.error(f"{self._get_log_prefix()}[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
|
||||
@@ -606,18 +632,22 @@ class PFChatting:
|
||||
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
|
||||
send_success = True # Mark success
|
||||
logger.info(f"{self._get_log_prefix()}[Sender-{thinking_id}] Successfully sent reply.")
|
||||
|
||||
# --- Handle associated emoji (if determined by tools) ---
|
||||
if send_emoji:
|
||||
logger.info(f"{self._get_log_prefix()}[Sender-{thinking_id}] Sending associated emoji: {send_emoji}")
|
||||
logger.info(
|
||||
f"{self._get_log_prefix()}[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"{self._get_log_prefix()}[Sender-{thinking_id}] Failed to send associated emoji: {e_emoji}")
|
||||
logger.error(
|
||||
f"{self._get_log_prefix()}[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 ---
|
||||
@@ -625,16 +655,19 @@ class PFChatting:
|
||||
await self.heartfc_chat._update_relationship(anchor_message, response_set)
|
||||
logger.debug(f"{self._get_log_prefix()}[Sender-{thinking_id}] Updated relationship.")
|
||||
except Exception as e_rel:
|
||||
logger.error(f"{self._get_log_prefix()}[Sender-{thinking_id}] Failed to update relationship: {e_rel}")
|
||||
logger.error(
|
||||
f"{self._get_log_prefix()}[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"{self._get_log_prefix()}[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
|
||||
|
||||
# Sending failed (e.g., _send_response_messages found thinking message already gone)
|
||||
send_success = False
|
||||
logger.warning(
|
||||
f"{self._get_log_prefix()}[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
|
||||
@@ -643,11 +676,10 @@ class PFChatting:
|
||||
# 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
|
||||
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.
|
||||
@@ -660,13 +692,13 @@ class PFChatting:
|
||||
# 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._get_log_prefix()} PF loop task cancelled successfully.")
|
||||
logger.info(f"{self._get_log_prefix()} PF loop task cancelled successfully.")
|
||||
except asyncio.TimeoutError:
|
||||
logger.warning(f"{self._get_log_prefix()} Timeout waiting for PF loop task cancellation.")
|
||||
logger.warning(f"{self._get_log_prefix()} Timeout waiting for PF loop task cancellation.")
|
||||
except Exception as e:
|
||||
logger.error(f"{self._get_log_prefix()} Error during loop task cancellation: {e}")
|
||||
logger.error(f"{self._get_log_prefix()} Error during loop task cancellation: {e}")
|
||||
else:
|
||||
logger.info(f"{self._get_log_prefix()} No active PF loop task found to cancel.")
|
||||
logger.info(f"{self._get_log_prefix()} 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
|
||||
@@ -685,30 +717,43 @@ class PFChatting:
|
||||
|
||||
# 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"
|
||||
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"
|
||||
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')])
|
||||
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 += 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 += (
|
||||
"\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 += (
|
||||
"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 += "4. 如果你已经回复过消息，也没有人又回复你，选择'no_reply'。"
|
||||
prompt += "必须调用 'decide_reply_action' 工具并提供 'action' 和 'reasoning'。"
|
||||
|
||||
return prompt
|
||||
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]]:
|
||||
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。
|
||||
@@ -724,23 +769,23 @@ class PFChatting:
|
||||
# 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
|
||||
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"{log_prefix}[Replier-{thinking_id}] LLM生成了一个空回复集。")
|
||||
return None # Indicate failure
|
||||
return None # Indicate failure
|
||||
|
||||
# --- 准备并返回结果 ---
|
||||
logger.info(f"{log_prefix}[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)
|
||||
"send_emoji": send_emoji, # Pass through the emoji determined earlier (usually by tools)
|
||||
}
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"{log_prefix}[Replier-{thinking_id}] Unexpected error in replier_work: {e}")
|
||||
logger.error(traceback.format_exc())
|
||||
return None # Indicate failure
|
||||
return None # Indicate failure
|
||||
|
||||
Reference in New Issue
Block a user