diff --git a/src/chat/focus_chat/heartflow_message_processor.py b/src/chat/focus_chat/heartflow_message_processor.py index f3aeec9cb..a080a79bb 100644 --- a/src/chat/focus_chat/heartflow_message_processor.py +++ b/src/chat/focus_chat/heartflow_message_processor.py @@ -75,7 +75,7 @@ async def _calculate_interest(message: MessageRecv) -> Tuple[float, bool]: message.processed_plain_text, fast_retrieval=True, ) - logger.trace(f"记忆激活率: {interested_rate:.2f}") + logger.debug(f"记忆激活率: {interested_rate:.2f}") text_len = len(message.processed_plain_text) # 根据文本长度调整兴趣度，长度越大兴趣度越高，但增长率递减，最低0.01，最高0.05 diff --git a/src/chat/heart_flow/observation/chatting_observation.py b/src/chat/heart_flow/observation/chatting_observation.py index f6a266735..824c0c190 100644 --- a/src/chat/heart_flow/observation/chatting_observation.py +++ b/src/chat/heart_flow/observation/chatting_observation.py @@ -287,7 +287,7 @@ class ChattingObservation(Observation): # print(f"构建中：self.person_list: {self.person_list}") - logger.trace( + logger.debug( f"Chat {self.chat_id} - 压缩早期记忆：{self.mid_memory_info}\n现在聊天内容：{self.talking_message_str}" ) diff --git a/src/chat/memory_system/Hippocampus.py b/src/chat/memory_system/Hippocampus.py index 11131e013..a859c939b 100644 --- a/src/chat/memory_system/Hippocampus.py +++ b/src/chat/memory_system/Hippocampus.py @@ -409,7 +409,7 @@ class Hippocampus: activation_values[neighbor] = new_activation visited_nodes.add(neighbor) nodes_to_process.append((neighbor, new_activation, current_depth + 1)) - logger.trace( + logger.debug( f"节点 '{neighbor}' 被激活，激活值: {new_activation:.2f} (通过 '{current_node}' 连接，强度: {strength}, 深度: {current_depth + 1})" ) # noqa: E501 @@ -580,7 +580,7 @@ class Hippocampus: activation_values[neighbor] = new_activation visited_nodes.add(neighbor) nodes_to_process.append((neighbor, new_activation, current_depth + 1)) - logger.trace( + logger.debug( f"节点 '{neighbor}' 被激活，激活值: {new_activation:.2f} (通过 '{current_node}' 连接，强度: {strength}, 深度: {current_depth + 1})" ) # noqa: E501 @@ -733,7 +733,7 @@ class Hippocampus: # 对每个关键词进行扩散式检索 for keyword in valid_keywords: - logger.trace(f"开始以关键词 '{keyword}' 为中心进行扩散检索 (最大深度: {max_depth}):") + logger.debug(f"开始以关键词 '{keyword}' 为中心进行扩散检索 (最大深度: {max_depth}):") # 初始化激活值 activation_values = {keyword: 1.0} # 记录已访问的节点 @@ -784,7 +784,7 @@ class Hippocampus: # 计算激活节点数与总节点数的比值 total_activation = sum(activate_map.values()) - logger.trace(f"总激活值: {total_activation:.2f}") + logger.debug(f"总激活值: {total_activation:.2f}") total_nodes = len(self.memory_graph.G.nodes()) # activated_nodes = len(activate_map) activation_ratio = total_activation / total_nodes if total_nodes > 0 else 0 @@ -1605,8 +1605,8 @@ class ParahippocampalGyrus: if similarity >= similarity_threshold: logger.debug(f"[整合] 节点 '{node}' 中发现相似项 (相似度: {similarity:.2f}):") - logger.trace(f" - '{item1}'") - logger.trace(f" - '{item2}'") + logger.debug(f" - '{item1}'") + logger.debug(f" - '{item2}'") # 比较信息量 info1 = calculate_information_content(item1) diff --git a/src/chat/message_receive/bot.py b/src/chat/message_receive/bot.py index 5d111b032..838aa3737 100644 --- a/src/chat/message_receive/bot.py +++ b/src/chat/message_receive/bot.py @@ -33,7 +33,7 @@ class ChatBot: async def _ensure_started(self): """确保所有任务已启动""" if not self._started: - logger.trace("确保ChatBot所有任务已启动") + logger.debug("确保ChatBot所有任务已启动") self._started = True @@ -166,23 +166,23 @@ class ChatBot: template_group_name = None async def preprocess(): - logger.trace("开始预处理消息...") + logger.debug("开始预处理消息...") # 如果在私聊中 if group_info is None: - logger.trace("检测到私聊消息") + logger.debug("检测到私聊消息") if global_config.experimental.pfc_chatting: - logger.trace("进入PFC私聊处理流程") + logger.debug("进入PFC私聊处理流程") # 创建聊天流 - logger.trace(f"为{user_info.user_id}创建/获取聊天流") + logger.debug(f"为{user_info.user_id}创建/获取聊天流") await self.only_process_chat.process_message(message) await self._create_pfc_chat(message) # 禁止PFC，进入普通的心流消息处理逻辑 else: - logger.trace("进入普通心流私聊处理") + logger.debug("进入普通心流私聊处理") await self.heartflow_message_receiver.process_message(message_data) # 群聊默认进入心流消息处理逻辑 else: - logger.trace(f"检测到群聊消息，群ID: {group_info.group_id}") + logger.debug(f"检测到群聊消息，群ID: {group_info.group_id}") await self.heartflow_message_receiver.process_message(message_data) if template_group_name: diff --git a/src/chat/message_receive/message_sender.py b/src/chat/message_receive/message_sender.py index 77b013031..5ee87c2e8 100644 --- a/src/chat/message_receive/message_sender.py +++ b/src/chat/message_receive/message_sender.py @@ -41,9 +41,9 @@ async def send_message( thinking_start_time=message.thinking_start_time, is_emoji=message.is_emoji, ) - # logger.trace(f"{message.processed_plain_text},{typing_time},计算输入时间结束") # 减少日志 + # logger.debug(f"{message.processed_plain_text},{typing_time},计算输入时间结束") # 减少日志 await asyncio.sleep(typing_time) - # logger.trace(f"{message.processed_plain_text},{typing_time},等待输入时间结束") # 减少日志 + # logger.debug(f"{message.processed_plain_text},{typing_time},等待输入时间结束") # 减少日志 # --- 结束打字延迟 --- message_preview = truncate_message(message.processed_plain_text) diff --git a/src/chat/utils/utils.py b/src/chat/utils/utils.py index 4f7280659..00c23b8d0 100644 --- a/src/chat/utils/utils.py +++ b/src/chat/utils/utils.py @@ -328,7 +328,7 @@ def process_llm_response(text: str) -> list[str]: # 先保护颜文字 if global_config.response_splitter.enable_kaomoji_protection: protected_text, kaomoji_mapping = protect_kaomoji(text) - logger.trace(f"保护颜文字后的文本: {protected_text}") + logger.debug(f"保护颜文字后的文本: {protected_text}") else: protected_text = text kaomoji_mapping = {} diff --git a/src/chat/utils/utils_image.py b/src/chat/utils/utils_image.py index 9fd6019b4..c5b555870 100644 --- a/src/chat/utils/utils_image.py +++ b/src/chat/utils/utils_image.py @@ -228,7 +228,7 @@ class ImageManager: description=description, timestamp=current_timestamp, ) - logger.trace(f"保存图片元数据: {file_path}") + logger.debug(f"保存图片元数据: {file_path}") except Exception as e: logger.error(f"保存图片文件或元数据失败: {str(e)}") @@ -288,7 +288,7 @@ class ImageManager: # 计算和上一张选中帧的差异（均方误差 MSE） if last_selected_frame_np is not None: mse = np.mean((current_frame_np - last_selected_frame_np) ** 2) - # logger.trace(f"帧 {i} 与上一选中帧的 MSE: {mse}") # 可以取消注释来看差异值 + # logger.debug(f"帧 {i} 与上一选中帧的 MSE: {mse}") # 可以取消注释来看差异值 # 如果差异够大，就选它！ if mse > similarity_threshold: diff --git a/src/llm_models/utils_model.py b/src/llm_models/utils_model.py index fba5838fe..8edfff292 100644 --- a/src/llm_models/utils_model.py +++ b/src/llm_models/utils_model.py @@ -183,7 +183,7 @@ class LLMRequest: status="success", timestamp=datetime.now(), # Peewee 会处理 DateTimeField ) - logger.trace( + logger.debug( f"Token使用情况 - 模型: {self.model_name}, " f"用户: {user_id}, 类型: {request_type}, " f"提示词: {prompt_tokens}, 完成: {completion_tokens}, " diff --git a/src/person_info/person_info.py b/src/person_info/person_info.py index ba79327cb..a83f6c9b2 100644 --- a/src/person_info/person_info.py +++ b/src/person_info/person_info.py @@ -459,7 +459,7 @@ class PersonInfoManager: if field_name not in PersonInfo._meta.fields: if field_name in person_info_default: result[field_name] = copy.deepcopy(person_info_default[field_name]) - logger.trace(f"字段'{field_name}'不在Peewee模型中，使用默认配置值。") + logger.debug(f"字段'{field_name}'不在Peewee模型中，使用默认配置值。") else: logger.debug(f"get_values查询失败：字段'{field_name}'未在Peewee模型和默认配置中定义。") result[field_name] = None