From 8bfff8efe208d9e65383d660ed79909bc54e5c3e Mon Sep 17 00:00:00 2001 From: "github-actions[bot]" Date: Fri, 25 Apr 2025 14:59:23 +0000 Subject: [PATCH] =?UTF-8?q?=F0=9F=A4=96=20=E8=87=AA=E5=8A=A8=E6=A0=BC?= =?UTF-8?q?=E5=BC=8F=E5=8C=96=E4=BB=A3=E7=A0=81=20[skip=20ci]?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- src/common/logger.py | 4 +- src/heart_flow/observation.py | 2 +- src/heart_flow/sub_heartflow.py | 2 +- src/heart_flow/subheartflow_manager.py | 24 +- src/plugins/emoji_system/emoji_manager.py | 24 +- src/plugins/heartFC_chat/heartFC_chat.py | 281 +++++++++--------- .../heartFC_chat/heartflow_processor.py | 61 ++-- .../heartFC_chat/heartflow_prompt_builder.py | 15 +- src/plugins/utils/chat_message_builder.py | 4 +- 9 files changed, 203 insertions(+), 214 deletions(-) diff --git a/src/common/logger.py b/src/common/logger.py index 526020824..6ab3505df 100644 --- a/src/common/logger.py +++ b/src/common/logger.py @@ -321,9 +321,7 @@ CHAT_STYLE_CONFIG = { "file_format": "{time:YYYY-MM-DD HH:mm:ss} | {level: <8} | {extra[module]: <15} | 见闻 | {message}", }, "simple": { - "console_format": ( - "{time:MM-DD HH:mm} | 见闻 | {message}" - ), # noqa: E501 + "console_format": ("{time:MM-DD HH:mm} | 见闻 | {message}"), # noqa: E501 "file_format": "{time:YYYY-MM-DD HH:mm:ss} | {level: <8} | {extra[module]: <15} | 见闻 | {message}", }, } diff --git a/src/heart_flow/observation.py b/src/heart_flow/observation.py index 790c21805..b960154ca 100644 --- a/src/heart_flow/observation.py +++ b/src/heart_flow/observation.py @@ -22,7 +22,7 @@ class Observation: self.observe_type = observe_type self.observe_id = observe_id self.last_observe_time = datetime.now().timestamp() # 初始化为当前时间 - + async def observe(self): pass diff --git a/src/heart_flow/sub_heartflow.py b/src/heart_flow/sub_heartflow.py index 91ddc2cd7..fb1a81c3b 100644 --- a/src/heart_flow/sub_heartflow.py +++ b/src/heart_flow/sub_heartflow.py @@ -57,7 +57,7 @@ class InterestChatting: self.max_reply_probability: float = max_probability self.current_reply_probability: float = 0.0 self.is_above_threshold: bool = False - + # 任务相关属性初始化 self.update_task: Optional[asyncio.Task] = None self._stop_event = asyncio.Event() diff --git a/src/heart_flow/subheartflow_manager.py b/src/heart_flow/subheartflow_manager.py index dcc455917..79f2a0ecf 100644 --- a/src/heart_flow/subheartflow_manager.py +++ b/src/heart_flow/subheartflow_manager.py @@ -271,11 +271,10 @@ class SubHeartflowManager: log_prefix = "[兴趣评估]" current_state = current_mai_state.get_current_state() focused_limit = current_state.get_focused_chat_max_num() - - + if int(time.time()) % 20 == 0: # 每20秒输出一次 logger.debug(f"{log_prefix} 当前状态 ({current_state.value}) 可以在{focused_limit}个群激情聊天") - + if focused_limit <= 0: # logger.debug(f"{log_prefix} 当前状态 ({current_state.value}) 不允许 FOCUSED 子心流") return @@ -288,22 +287,23 @@ class SubHeartflowManager: states_num = ( self.count_subflows_by_state(ChatState.ABSENT), self.count_subflows_by_state(ChatState.CHAT), - current_focused_count + current_focused_count, ) for sub_hf in list(self.subheartflows.values()): flow_id = sub_hf.subheartflow_id stream_name = chat_manager.get_stream_name(flow_id) or flow_id - + # 跳过非CHAT状态或已经是FOCUSED状态的子心流 if sub_hf.chat_state.chat_status == ChatState.FOCUSED: continue - + from .mai_state_manager import enable_unlimited_hfc_chat + if not enable_unlimited_hfc_chat: if sub_hf.chat_state.chat_status != ChatState.CHAT: continue - + # 检查是否满足提升概率 if random.random() >= sub_hf.interest_chatting.start_hfc_probability: continue @@ -324,12 +324,12 @@ class SubHeartflowManager: # 执行状态提升 await current_subflow.set_chat_state(ChatState.FOCUSED, states_num) - - # 验证提升结果 - if (final_subflow := self.subheartflows.get(flow_id)) and \ - final_subflow.chat_state.chat_status == ChatState.FOCUSED: - current_focused_count += 1 + # 验证提升结果 + if ( + final_subflow := self.subheartflows.get(flow_id) + ) and final_subflow.chat_state.chat_status == ChatState.FOCUSED: + current_focused_count += 1 async def randomly_deactivate_subflows(self, deactivation_probability: float = 0.1): """以一定概率将 FOCUSED 或 CHAT 状态的子心流回退到 ABSENT 状态。""" diff --git a/src/plugins/emoji_system/emoji_manager.py b/src/plugins/emoji_system/emoji_manager.py index 754792c24..cf3ebadb8 100644 --- a/src/plugins/emoji_system/emoji_manager.py +++ b/src/plugins/emoji_system/emoji_manager.py @@ -29,10 +29,11 @@ EMOJI_DIR = os.path.join(BASE_DIR, "emoji") # 表情包存储目录 EMOJI_REGISTED_DIR = os.path.join(BASE_DIR, "emoji_registed") # 已注册的表情包注册目录 -''' +""" 还没经过测试，有些地方数据库和内存数据同步可能不完全 -''' +""" + class MaiEmoji: """定义一个表情包""" @@ -258,7 +259,7 @@ class EmojiManager: if emoji.hash == hash: emoji.usage_count += 1 break - + except Exception as e: logger.error(f"记录表情使用失败: {str(e)}") @@ -316,7 +317,9 @@ class EmojiManager: time_end = time.time() - logger.info(f"找到[{text_emotion}]表情包,用时:{time_end - time_start:.2f}秒: {selected_emoji.description} (相似度: {similarity:.4f})") + logger.info( + f"找到[{text_emotion}]表情包,用时:{time_end - time_start:.2f}秒: {selected_emoji.description} (相似度: {similarity:.4f})" + ) return selected_emoji.path, f"[ {selected_emoji.description} ]" except Exception as e: @@ -784,16 +787,15 @@ class EmojiManager: logger.error(f"[错误] 注册表情包失败: {str(e)}") logger.error(traceback.format_exc()) return False - - + async def clear_temp_emoji(self): """每天清理临时表情包 清理/data/emoji和/data/image目录下的所有文件 当目录中文件数超过50时，会全部删除 """ - + logger.info("[清理] 开始清理临时表情包...") - + # 清理emoji目录 emoji_dir = os.path.join(BASE_DIR, "emoji") if os.path.exists(emoji_dir): @@ -805,7 +807,7 @@ class EmojiManager: if os.path.isfile(file_path): os.remove(file_path) logger.debug(f"[清理] 删除表情包文件: {filename}") - + # 清理image目录 image_dir = os.path.join(BASE_DIR, "image") if os.path.exists(image_dir): @@ -817,10 +819,8 @@ class EmojiManager: if os.path.isfile(file_path): os.remove(file_path) logger.debug(f"[清理] 删除图片文件: {filename}") - + logger.success("[清理] 临时文件清理完成") - - # 创建全局单例 diff --git a/src/plugins/heartFC_chat/heartFC_chat.py b/src/plugins/heartFC_chat/heartFC_chat.py index 8be4d42fe..b8e9781dc 100644 --- a/src/plugins/heartFC_chat/heartFC_chat.py +++ b/src/plugins/heartFC_chat/heartFC_chat.py @@ -38,31 +38,28 @@ logger = get_module_logger("HeartFCLoop", config=interest_log_config) # Logger # 默认动作定义 -DEFAULT_ACTIONS = { - "no_reply": "不回复", - "text_reply": "文本回复, 可选附带表情", - "emoji_reply": "仅表情回复" -} +DEFAULT_ACTIONS = {"no_reply": "不回复", "text_reply": "文本回复, 可选附带表情", "emoji_reply": "仅表情回复"} + class ActionManager: """动作管理器：控制每次决策可以使用的动作""" - + def __init__(self): # 初始化为默认动作集 self._available_actions: Dict[str, str] = DEFAULT_ACTIONS.copy() - + def get_available_actions(self) -> Dict[str, str]: """获取当前可用的动作集""" return self._available_actions - + def add_action(self, action_name: str, description: str) -> bool: """ 添加新的动作 - + 参数: action_name: 动作名称 description: 动作描述 - + 返回: bool: 是否添加成功 """ @@ -70,14 +67,14 @@ class ActionManager: return False self._available_actions[action_name] = description return True - + def remove_action(self, action_name: str) -> bool: """ 移除指定动作 - + 参数: action_name: 动作名称 - + 返回: bool: 是否移除成功 """ @@ -85,63 +82,73 @@ class ActionManager: return False del self._available_actions[action_name] return True - + def clear_actions(self): """清空所有动作""" self._available_actions.clear() - + def reset_to_default(self): """重置为默认动作集""" self._available_actions = DEFAULT_ACTIONS.copy() - + def get_planner_tool_definition(self) -> List[Dict[str, Any]]: """获取当前动作集对应的规划器工具定义""" - return [{ - "type": "function", - "function": { - "name": "decide_reply_action", - "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。", - "parameters": { - "type": "object", - "properties": { - "action": { - "type": "string", - "enum": list(self._available_actions.keys()), - "description": "决定采取的行动：" + - ", ".join([f"'{k}'({v})" for k, v in self._available_actions.items()]), - }, - "reasoning": {"type": "string", "description": "做出此决定的简要理由。"}, - "emoji_query": { - "type": "string", - "description": "如果行动是'emoji_reply'，指定表情的主题或概念。如果行动是'text_reply'且希望在文本后追加表情，也在此指定表情主题。", + return [ + { + "type": "function", + "function": { + "name": "decide_reply_action", + "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。", + "parameters": { + "type": "object", + "properties": { + "action": { + "type": "string", + "enum": list(self._available_actions.keys()), + "description": "决定采取的行动：" + + ", ".join([f"'{k}'({v})" for k, v in self._available_actions.items()]), + }, + "reasoning": {"type": "string", "description": "做出此决定的简要理由。"}, + "emoji_query": { + "type": "string", + "description": "如果行动是'emoji_reply'，指定表情的主题或概念。如果行动是'text_reply'且希望在文本后追加表情，也在此指定表情主题。", + }, }, + "required": ["action", "reasoning"], }, - "required": ["action", "reasoning"], }, - }, - }] + } + ] # 在文件开头添加自定义异常类 class HeartFCError(Exception): """麦麦聊天系统基础异常类""" + pass + class PlannerError(HeartFCError): """规划器异常""" + pass + class ReplierError(HeartFCError): """回复器异常""" + pass + class SenderError(HeartFCError): """发送器异常""" + pass class CycleInfo: """循环信息记录类""" + def __init__(self, cycle_id: int): self.cycle_id = cycle_id self.start_time = time.time() @@ -151,16 +158,16 @@ class CycleInfo: self.reasoning = "" self.timers: Dict[str, float] = {} self.thinking_id = "" - + # 添加响应信息相关字段 self.response_info: Dict[str, Any] = { "response_text": [], # 回复的文本列表 - "emoji_info": "", # 表情信息 + "emoji_info": "", # 表情信息 "anchor_message_id": "", # 锚点消息ID "reply_message_ids": [], # 回复消息ID列表 "sub_mind_thinking": "", # 子思维思考内容 } - + def to_dict(self) -> Dict[str, Any]: """将循环信息转换为字典格式""" return { @@ -172,29 +179,31 @@ class CycleInfo: "reasoning": self.reasoning, "timers": self.timers, "thinking_id": self.thinking_id, - "response_info": self.response_info + "response_info": self.response_info, } - + def complete_cycle(self): """完成循环，记录结束时间""" self.end_time = time.time() - + def set_action_info(self, action_type: str, reasoning: str, action_taken: bool): """设置动作信息""" self.action_type = action_type self.reasoning = reasoning self.action_taken = action_taken - + def set_thinking_id(self, thinking_id: str): """设置思考消息ID""" self.thinking_id = thinking_id - def set_response_info(self, - response_text: Optional[List[str]] = None, - emoji_info: Optional[str] = None, - anchor_message_id: Optional[str] = None, - reply_message_ids: Optional[List[str]] = None, - sub_mind_thinking: Optional[str] = None): + def set_response_info( + self, + response_text: Optional[List[str]] = None, + emoji_info: Optional[str] = None, + anchor_message_id: Optional[str] = None, + reply_message_ids: Optional[List[str]] = None, + sub_mind_thinking: Optional[str] = None, + ): """设置响应信息""" if response_text is not None: self.response_info["response_text"] = response_text @@ -227,7 +236,7 @@ class HeartFChatting: self.chat_stream: Optional[ChatStream] = None # 关联的聊天流 self.sub_mind: SubMind = sub_mind # 关联的子思维 self.observations: List[Observation] = observations # 关联的观察列表，用于监控聊天流状态 - + # 日志前缀 self.log_prefix: str = f"[{chat_manager.get_stream_name(chat_id) or chat_id}]" @@ -274,7 +283,7 @@ class HeartFChatting: # 更新日志前缀（以防流名称发生变化） self.log_prefix = f"[{chat_manager.get_stream_name(self.stream_id) or self.stream_id}]" - + self._initialized = True logger.info(f"麦麦感觉到了，可以开始激情水群{self.log_prefix} ") return True @@ -333,52 +342,50 @@ class HeartFChatting: self._processing_lock.release() async def _hfc_loop(self): - """主循环，持续进行计划并可能回复消息，直到被外部取消。""" + """主循环，持续进行计划并可能回复消息，直到被外部取消。""" try: while True: # 主循环 # 创建新的循环信息 self._cycle_counter += 1 self._current_cycle = CycleInfo(self._cycle_counter) - + # 初始化周期状态 cycle_timers = {} loop_cycle_start_time = time.monotonic() - + # 执行规划和处理阶段 async with self._get_cycle_context() as acquired_lock: if not acquired_lock: continue - + # 记录规划开始时间点 planner_start_db_time = time.time() - - # 执行规划阶段 - action_taken, thinking_id = await self._think_plan_execute_loop( - cycle_timers, planner_start_db_time - ) - + + # 执行规划阶段 + action_taken, thinking_id = await self._think_plan_execute_loop(cycle_timers, planner_start_db_time) + # 更新循环信息 self._current_cycle.set_thinking_id(thinking_id) self._current_cycle.timers = cycle_timers # 防止循环过快消耗资源 await self._handle_cycle_delay(action_taken, loop_cycle_start_time, self.log_prefix) - + # 等待直到所有消息都发送完成 with Timer("发送消息", cycle_timers): while await self._should_skip_cycle(thinking_id): await asyncio.sleep(0.2) - + # 完成当前循环并保存历史 self._current_cycle.complete_cycle() self._cycle_history.append(self._current_cycle) - + # 记录循环信息和计时器结果 timer_strings = [] for name, elapsed in cycle_timers.items(): formatted_time = f"{elapsed * 1000:.2f}毫秒" if elapsed < 1 else f"{elapsed:.2f}秒" timer_strings.append(f"{name}: {formatted_time}") - + logger.debug( f"{self.log_prefix} 第 #{self._current_cycle.cycle_id}次思考完成," f"耗时: {self._current_cycle.end_time - self._current_cycle.start_time:.2f}秒, " @@ -396,7 +403,7 @@ class HeartFChatting: async def _get_cycle_context(self): """ 循环周期的上下文管理器 - + 用于确保资源的正确获取和释放： 1. 获取处理锁 2. 执行操作 @@ -414,10 +421,10 @@ class HeartFChatting: async def _check_new_messages(self, start_time: float) -> bool: """ 检查从指定时间点后是否有新消息 - + 参数: start_time: 开始检查的时间点 - + 返回: bool: 是否有新消息 """ @@ -431,9 +438,7 @@ class HeartFChatting: logger.error(f"{self.log_prefix} 检查新消息时出错: {e}") return False - async def _think_plan_execute_loop( - self, cycle_timers: dict, planner_start_db_time: float - ) -> tuple[bool, str]: + async def _think_plan_execute_loop(self, cycle_timers: dict, planner_start_db_time: float) -> tuple[bool, str]: """执行规划阶段""" try: # 获取子思维思考结果 @@ -443,34 +448,36 @@ class HeartFChatting: # 记录子思维思考内容 if self._current_cycle: self._current_cycle.set_response_info(sub_mind_thinking=current_mind) - + # 执行规划 with Timer("决策", cycle_timers): planner_result = await self._planner(current_mind, cycle_timers) - + # 在获取规划结果后检查新消息 if await self._check_new_messages(planner_start_db_time): # 更新循环信息 logger.info(f"{self.log_prefix} 思考到一半，检测到新消息，重新思考") self._current_cycle.set_action_info("new_messages", "检测到新消息", False) return False, "new_messages" - + # 解析规划结果 action = planner_result.get("action", "error") reasoning = planner_result.get("reasoning", "未提供理由") - + # 更新循环信息 self._current_cycle.set_action_info(action, reasoning, True) - + # 处理LLM错误 if planner_result.get("llm_error"): logger.error(f"{self.log_prefix} LLM失败: {reasoning}") return False, "" - + # 根据动作类型执行对应处理 with Timer("执行", cycle_timers): - return await self._handle_action(action, reasoning, planner_result.get("emoji_query", ""), cycle_timers, planner_start_db_time) - + return await self._handle_action( + action, reasoning, planner_result.get("emoji_query", ""), cycle_timers, planner_start_db_time + ) + except PlannerError as e: logger.error(f"{self.log_prefix} 规划错误: {e}") # 更新循环信息 @@ -478,37 +485,32 @@ class HeartFChatting: return False, "" async def _handle_action( - self, - action: str, - reasoning: str, - emoji_query: str, - cycle_timers: dict, - planner_start_db_time: float + self, action: str, reasoning: str, emoji_query: str, cycle_timers: dict, planner_start_db_time: float ) -> tuple[bool, str]: """ 处理规划动作 - + 参数: action: 动作类型 reasoning: 决策理由 emoji_query: 表情查询 cycle_timers: 计时器字典 planner_start_db_time: 规划开始时间 - + 返回: tuple[bool, str]: (是否执行了动作, 思考消息ID) """ action_handlers = { "text_reply": self._handle_text_reply, "emoji_reply": self._handle_emoji_reply, - "no_reply": self._handle_no_reply + "no_reply": self._handle_no_reply, } - + handler = action_handlers.get(action) if not handler: logger.warning(f"{self.log_prefix} 未知动作: {action}, 原因: {reasoning}") return False, "" - + try: if action == "text_reply": return await handler(reasoning, emoji_query, cycle_timers) @@ -520,37 +522,35 @@ class HeartFChatting: logger.error(f"{self.log_prefix} 处理{action}时出错: {e}") return False, "" - async def _handle_text_reply( - self, reasoning: str, emoji_query: str, cycle_timers: dict - ) -> tuple[bool, str]: + async def _handle_text_reply(self, reasoning: str, emoji_query: str, cycle_timers: dict) -> tuple[bool, str]: """ 处理文本回复 - + 工作流程： 1. 获取锚点消息 2. 创建思考消息 3. 生成回复 4. 发送消息 - + 参数: reasoning: 回复原因 emoji_query: 表情查询 cycle_timers: 计时器字典 - + 返回: tuple[bool, str]: (是否回复成功, 思考消息ID) """ - + # 获取锚点消息 anchor_message = await self._get_anchor_message() if not anchor_message: raise PlannerError("无法获取锚点消息") - + # 创建思考消息 thinking_id = await self._create_thinking_message(anchor_message) if not thinking_id: raise PlannerError("无法创建思考消息") - + try: # 生成回复 with Timer("Replier", cycle_timers): @@ -559,10 +559,10 @@ class HeartFChatting: thinking_id=thinking_id, reason=reasoning, ) - + if not reply: raise ReplierError("回复生成失败") - + # 发送消息 with Timer("Sender", cycle_timers): await self._sender( @@ -571,9 +571,9 @@ class HeartFChatting: response_set=reply, send_emoji=emoji_query, ) - + return True, thinking_id - + except (ReplierError, SenderError) as e: logger.error(f"{self.log_prefix} 回复失败: {e}") return True, thinking_id # 仍然返回thinking_id以便跟踪 @@ -581,72 +581,68 @@ class HeartFChatting: async def _handle_emoji_reply(self, reasoning: str, emoji_query: str) -> bool: """ 处理表情回复 - + 工作流程： 1. 获取锚点消息 2. 发送表情 - + 参数: reasoning: 回复原因 emoji_query: 表情查询 - + 返回: bool: 是否发送成功 """ logger.info(f"{self.log_prefix} 决定回复表情({emoji_query}): {reasoning}") - + try: anchor = await self._get_anchor_message() if not anchor: raise PlannerError("无法获取锚点消息") - + await self._handle_emoji(anchor, [], emoji_query) return True - + except Exception as e: logger.error(f"{self.log_prefix} 表情发送失败: {e}") return False - async def _handle_no_reply( - self, reasoning: str, planner_start_db_time: float, cycle_timers: dict - ) -> bool: + async def _handle_no_reply(self, reasoning: str, planner_start_db_time: float, cycle_timers: dict) -> bool: """ 处理不回复的情况 - + 工作流程： 1. 等待新消息 2. 超时或收到新消息时返回 - + 参数: reasoning: 不回复的原因 planner_start_db_time: 规划开始时间 cycle_timers: 计时器字典 - + 返回: bool: 是否成功处理 """ logger.info(f"{self.log_prefix} 决定不回复: {reasoning}") - + observation = self.observations[0] if self.observations else None - + try: with Timer("Wait New Msg", cycle_timers): return await self._wait_for_new_message(observation, planner_start_db_time, self.log_prefix) except asyncio.CancelledError: logger.info(f"{self.log_prefix} 等待被中断") raise - - async def _wait_for_new_message( - self, observation, planner_start_db_time: float, log_prefix: str - ) -> bool: + + async def _wait_for_new_message(self, observation, planner_start_db_time: float, log_prefix: str) -> bool: """ 等待新消息 - + 参数: observation: 观察实例 planner_start_db_time: 开始等待的时间 log_prefix: 日志前缀 - + 返回: bool: 是否检测到新消息 """ @@ -655,11 +651,11 @@ class HeartFChatting: if await observation.has_new_messages_since(planner_start_db_time): logger.info(f"{log_prefix} 检测到新消息") return True - + if time.monotonic() - wait_start_time > 60: logger.warning(f"{log_prefix} 等待超时(60秒)") return False - + await asyncio.sleep(1.5) async def _should_skip_cycle(self, thinking_id: str) -> bool: @@ -677,13 +673,11 @@ class HeartFChatting: if timer_strings: logger.debug(f"{log_prefix} 该次决策耗时: {'; '.join(timer_strings)}") - async def _handle_cycle_delay( - self, action_taken_this_cycle: bool, cycle_start_time: float, log_prefix: str - ): + async def _handle_cycle_delay(self, action_taken_this_cycle: bool, cycle_start_time: float, log_prefix: str): """处理循环延迟""" cycle_duration = time.monotonic() - cycle_start_time # if cycle_duration > 0.1: - # logger.debug(f"{log_prefix} HeartFChatting: 周期耗时 {cycle_duration:.2f}s.") + # logger.debug(f"{log_prefix} HeartFChatting: 周期耗时 {cycle_duration:.2f}s.") try: sleep_duration = 0.0 @@ -702,7 +696,7 @@ class HeartFChatting: async def _get_submind_thinking(self) -> str: """ 获取子思维的思考结果 - + 返回: str: 思考结果，如果思考失败则返回错误信息 """ @@ -719,7 +713,7 @@ class HeartFChatting: async def _planner(self, current_mind: str, cycle_timers: dict) -> Dict[str, Any]: """ 规划器 (Planner): 使用LLM根据上下文决定是否和如何回复。 - + 参数: current_mind: 子思维的当前思考结果 """ @@ -779,7 +773,9 @@ class HeartFChatting: action = arguments.get("action", "no_reply") # 验证动作是否在可用动作集中 if action not in self.action_manager.get_available_actions(): - logger.warning(f"{self.log_prefix}[Planner] LLM返回了未授权的动作: {action}，使用默认动作no_reply") + logger.warning( + f"{self.log_prefix}[Planner] LLM返回了未授权的动作: {action}，使用默认动作no_reply" + ) action = "no_reply" reasoning = f"LLM返回了未授权的动作: {action}" else: @@ -787,7 +783,9 @@ class HeartFChatting: emoji_query = arguments.get("emoji_query", "") # 记录决策结果 - logger.debug(f"{self.log_prefix}[要做什么]\nPrompt:\n{prompt}\n\n决策结果: {action}, 理由: {reasoning}, 表情查询: '{emoji_query}'") + logger.debug( + f"{self.log_prefix}[要做什么]\nPrompt:\n{prompt}\n\n决策结果: {action}, 理由: {reasoning}, 表情查询: '{emoji_query}'" + ) else: # 处理工具调用失败 logger.warning(f"{self.log_prefix}[Planner] {error_msg}") @@ -960,9 +958,6 @@ class HeartFChatting: message=anchor_message, # Pass anchor_message positionally (matches 'message' parameter) thinking_id=thinking_id, # Pass thinking_id positionally ) - - - if not response_set: logger.warning(f"{self.log_prefix}[Replier-{thinking_id}] LLM生成了一个空回复集。") @@ -1014,8 +1009,7 @@ class HeartFChatting: # 记录锚点消息ID if self._current_cycle and anchor_message: self._current_cycle.set_response_info( - response_text=response_set, - anchor_message_id=anchor_message.message_info.message_id + response_text=response_set, anchor_message_id=anchor_message.message_info.message_id ) chat = anchor_message.chat_stream @@ -1090,9 +1084,7 @@ class HeartFChatting: emoji_path, description = emoji_raw # 记录表情信息 if self._current_cycle: - self._current_cycle.set_response_info( - emoji_info=f"表情: {description}, 路径: {emoji_path}" - ) + self._current_cycle.set_response_info(emoji_info=f"表情: {description}, 路径: {emoji_path}") emoji_cq = image_path_to_base64(emoji_path) thinking_time_point = round(time.time(), 2) @@ -1117,10 +1109,10 @@ class HeartFChatting: def get_cycle_history(self, last_n: Optional[int] = None) -> List[Dict[str, Any]]: """获取循环历史记录 - + 参数: last_n: 获取最近n个循环的信息，如果为None则获取所有历史记录 - + 返回: List[Dict[str, Any]]: 循环历史记录列表 """ @@ -1134,4 +1126,3 @@ class HeartFChatting: if self._cycle_history: return self._cycle_history[-1].to_dict() return None - diff --git a/src/plugins/heartFC_chat/heartflow_processor.py b/src/plugins/heartFC_chat/heartflow_processor.py index e43659ee5..204ca703a 100644 --- a/src/plugins/heartFC_chat/heartflow_processor.py +++ b/src/plugins/heartFC_chat/heartflow_processor.py @@ -24,14 +24,14 @@ logger = get_module_logger("heartflow_processor", config=processor_config) class HeartFCProcessor: """心流处理器，负责处理接收到的消息并计算兴趣度""" - + def __init__(self): """初始化心流处理器，创建消息存储实例""" self.storage = MessageStorage() async def _handle_error(self, error: Exception, context: str, message: Optional[MessageRecv] = None) -> None: """统一的错误处理函数 - + Args: error: 捕获到的异常 context: 错误发生的上下文描述 @@ -39,12 +39,12 @@ class HeartFCProcessor: """ logger.error(f"{context}: {error}") logger.error(traceback.format_exc()) - if message and hasattr(message, 'raw_message'): + if message and hasattr(message, "raw_message"): logger.error(f"相关消息原始内容: {message.raw_message}") async def _process_relationship(self, message: MessageRecv) -> None: """处理用户关系逻辑 - + Args: message: 消息对象，包含用户信息 """ @@ -54,24 +54,20 @@ class HeartFCProcessor: cardname = message.message_info.user_info.user_cardname or nickname is_known = await relationship_manager.is_known_some_one(platform, user_id) - + if not is_known: logger.info(f"首次认识用户: {nickname}") - await relationship_manager.first_knowing_some_one( - platform, user_id, nickname, cardname, "" - ) + await relationship_manager.first_knowing_some_one(platform, user_id, nickname, cardname, "") elif not await relationship_manager.is_qved_name(platform, user_id): logger.info(f"给用户({nickname},{cardname})取名: {nickname}") - await relationship_manager.first_knowing_some_one( - platform, user_id, nickname, cardname, "" - ) + await relationship_manager.first_knowing_some_one(platform, user_id, nickname, cardname, "") async def _calculate_interest(self, message: MessageRecv) -> Tuple[float, bool]: """计算消息的兴趣度 - + Args: message: 待处理的消息对象 - + Returns: Tuple[float, bool]: (兴趣度, 是否被提及) """ @@ -93,33 +89,35 @@ class HeartFCProcessor: def _get_message_type(self, message: MessageRecv) -> str: """获取消息类型 - + Args: message: 消息对象 - + Returns: str: 消息类型 """ if message.message_segment.type != "seglist": return message.message_segment.type - - if (isinstance(message.message_segment.data, list) + + if ( + isinstance(message.message_segment.data, list) and all(isinstance(x, Seg) for x in message.message_segment.data) - and len(message.message_segment.data) == 1): + and len(message.message_segment.data) == 1 + ): return message.message_segment.data[0].type - + return "seglist" async def process_message(self, message_data: str) -> None: """处理接收到的原始消息数据 - + 主要流程: 1. 消息解析与初始化 2. 消息缓冲处理 3. 过滤检查 4. 兴趣度计算 5. 关系处理 - + Args: message_data: 原始消息字符串 """ @@ -133,20 +131,21 @@ class HeartFCProcessor: # 2. 消息缓冲与流程序化 await message_buffer.start_caching_messages(message) - + chat = await chat_manager.get_or_create_stream( platform=messageinfo.platform, user_info=userinfo, group_info=groupinfo, ) - + subheartflow = await heartflow.create_subheartflow(chat.stream_id) message.update_chat_stream(chat) await message.process() - + # 3. 过滤检查 - if self._check_ban_words(message.processed_plain_text, chat, userinfo) or \ - self._check_ban_regex(message.raw_message, chat, userinfo): + if self._check_ban_words(message.processed_plain_text, chat, userinfo) or self._check_ban_regex( + message.raw_message, chat, userinfo + ): return # 4. 缓冲检查 @@ -156,7 +155,7 @@ class HeartFCProcessor: type_messages = { "text": f"触发缓冲，消息：{message.processed_plain_text}", "image": "触发缓冲，表情包/图片等待中", - "seglist": "触发缓冲，消息列表等待中" + "seglist": "触发缓冲，消息列表等待中", } logger.debug(type_messages.get(msg_type, "触发未知类型缓冲")) return @@ -189,12 +188,12 @@ class HeartFCProcessor: def _check_ban_words(self, text: str, chat, userinfo) -> bool: """检查消息是否包含过滤词 - + Args: text: 待检查的文本 chat: 聊天对象 userinfo: 用户信息 - + Returns: bool: 是否包含过滤词 """ @@ -208,12 +207,12 @@ class HeartFCProcessor: def _check_ban_regex(self, text: str, chat, userinfo) -> bool: """检查消息是否匹配过滤正则表达式 - + Args: text: 待检查的文本 chat: 聊天对象 userinfo: 用户信息 - + Returns: bool: 是否匹配过滤正则 """ diff --git a/src/plugins/heartFC_chat/heartflow_prompt_builder.py b/src/plugins/heartFC_chat/heartflow_prompt_builder.py index 146a5307f..80587f2fe 100644 --- a/src/plugins/heartFC_chat/heartflow_prompt_builder.py +++ b/src/plugins/heartFC_chat/heartflow_prompt_builder.py @@ -37,12 +37,15 @@ def init_prompt(): {moderation_prompt}。注意：回复不要输出多余内容(包括前后缀，冒号和引号，括号，表情包，at或 @等 )。""", "heart_flow_prompt", ) - - Prompt(""" + + Prompt( + """ 你有以下信息可供参考： {structured_info} 以上的消息是你获取到的消息，或许可以帮助你更好地回复。 -""", "info_from_tools") +""", + "info_from_tools", + ) # Planner提示词 Prompt( @@ -163,11 +166,11 @@ class PromptBuilder: prompt_ger += "你喜欢用倒装句" if random.random() < 0.02: prompt_ger += "你喜欢用反问句" - + if structured_info: structured_info_prompt = await global_prompt_manager.format_prompt( - "info_from_tools", - structured_info = structured_info) + "info_from_tools", structured_info=structured_info + ) else: structured_info_prompt = "" diff --git a/src/plugins/utils/chat_message_builder.py b/src/plugins/utils/chat_message_builder.py index edd60c05a..630ff989a 100644 --- a/src/plugins/utils/chat_message_builder.py +++ b/src/plugins/utils/chat_message_builder.py @@ -303,9 +303,7 @@ async def build_readable_messages( ) readable_read_mark = translate_timestamp_to_human_readable(read_mark, mode=timestamp_mode) - read_mark_line = ( - f"\n\n--- 以上消息已读 (标记时间: {readable_read_mark}) ---\n--- 以下新消息未读---\n" - ) + read_mark_line = f"\n\n--- 以上消息已读 (标记时间: {readable_read_mark}) ---\n--- 以下新消息未读---\n" # 组合结果，确保空部分不引入多余的标记或换行 if formatted_before and formatted_after: