diff --git a/src/main.py b/src/main.py index 345b9b8ad..99f098920 100644 --- a/src/main.py +++ b/src/main.py @@ -142,7 +142,6 @@ class MainSystem: self.forget_memory_task(), self.consolidate_memory_task(), self.learn_and_store_expression_task(), - self.print_mood_task(), self.remove_recalled_message_task(), emoji_manager.start_periodic_check_register(), self.app.run(), @@ -185,11 +184,11 @@ class MainSystem: await expression_learner.learn_and_store_expression() print("\033[1;32m[表达方式学习]\033[0m 表达方式学习完成") - async def print_mood_task(self): - """打印情绪状态""" - while True: - self.mood_manager.print_mood_status() - await asyncio.sleep(60) + # async def print_mood_task(self): + # """打印情绪状态""" + # while True: + # self.mood_manager.print_mood_status() + # await asyncio.sleep(60) @staticmethod async def remove_recalled_message_task(): diff --git a/src/plugins/heartFC_chat/expressors/exprssion_learner.py b/src/plugins/heartFC_chat/expressors/exprssion_learner.py index 20dc81589..502a8ae93 100644 --- a/src/plugins/heartFC_chat/expressors/exprssion_learner.py +++ b/src/plugins/heartFC_chat/expressors/exprssion_learner.py @@ -177,11 +177,11 @@ class ExpressionLearner: chat_str=random_msg_str, ) - logger.info(f"学习表达方式的prompt: {prompt}") + logger.debug(f"学习表达方式的prompt: {prompt}") response, _ = await self.express_learn_model.generate_response_async(prompt) - logger.info(f"学习表达方式的response: {response}") + logger.debug(f"学习表达方式的response: {response}") expressions: List[Tuple[str, str, str]] = self.parse_expression_response(response, chat_id) diff --git a/src/plugins/heartFC_chat/heartflow_prompt_builder.py b/src/plugins/heartFC_chat/heartflow_prompt_builder.py index 973dc980e..16aa25c72 100644 --- a/src/plugins/heartFC_chat/heartflow_prompt_builder.py +++ b/src/plugins/heartFC_chat/heartflow_prompt_builder.py @@ -265,13 +265,10 @@ async def _build_prompt_focus( # 3. 如果都没有,给默认 if not language_habits: language_habits = [ - "当表示惊叹时,使用 我嘞个xxxx", "当表示惊讶无语是,使用 不是?", "当表示无语时,使用 阿这", - "当表示震惊时,使用 卧槽", "当用调侃的方式称呼某人,使用 哈基X", "当表示讽刺的赞同时,使用 对对对", - "当你想表达某个观点,但不想明说,可以使用反讽", "当你想说明某个观点,但懒得明说,使用 懂的都懂", ] language_habits = random.sample(language_habits, 6) diff --git a/src/plugins/heartFC_chat/info_processors/chattinginfo_processor.py b/src/plugins/heartFC_chat/info_processors/chattinginfo_processor.py index 42aea1527..6fe5ec3e0 100644 --- a/src/plugins/heartFC_chat/info_processors/chattinginfo_processor.py +++ b/src/plugins/heartFC_chat/info_processors/chattinginfo_processor.py @@ -44,13 +44,13 @@ class ChattingInfoProcessor(BaseProcessor): Returns: List[InfoBase]: 处理后的ObsInfo实例列表 """ - print(f"observations: {observations}") + # print(f"observations: {observations}") processed_infos = [] # 处理Observation对象 if observations: for obs in observations: - print(f"obs: {obs}") + # print(f"obs: {obs}") if isinstance(obs, ChattingObservation): obs_info = ObsInfo() diff --git a/src/plugins/heartFC_chat/info_processors/tool_processor.py b/src/plugins/heartFC_chat/info_processors/tool_processor.py index a51e04801..69892f30a 100644 --- a/src/plugins/heartFC_chat/info_processors/tool_processor.py +++ b/src/plugins/heartFC_chat/info_processors/tool_processor.py @@ -153,7 +153,7 @@ class ToolProcessor(BaseProcessor): ) # 调用LLM,专注于工具使用 - logger.info(f"开始执行工具调用{prompt}") + logger.debug(f"开始执行工具调用{prompt}") response, _, tool_calls = await self.llm_model.generate_response_tool_async(prompt=prompt, tools=tools) logger.debug(f"获取到工具原始输出:\n{tool_calls}") diff --git a/src/plugins/memory_system/Hippocampus.py b/src/plugins/memory_system/Hippocampus.py index 24d320f78..6d64e607a 100644 --- a/src/plugins/memory_system/Hippocampus.py +++ b/src/plugins/memory_system/Hippocampus.py @@ -499,7 +499,7 @@ class Hippocampus: for topic, memory_items, _ in unique_memories: memory = memory_items[0] # 因为每个topic只有一条记忆 result.append((topic, memory)) - logger.info(f"选中记忆: {memory} (来自节点: {topic})") + logger.debug(f"选中记忆: {memory} (来自节点: {topic})") return result @@ -665,7 +665,7 @@ class Hippocampus: for topic, memory_items, _ in unique_memories: memory = memory_items[0] # 因为每个topic只有一条记忆 result.append((topic, memory)) - logger.info(f"选中记忆: {memory} (来自节点: {topic})") + logger.debug(f"选中记忆: {memory} (来自节点: {topic})") return result