From a48d91739a20743fe4a0df8d34b51c72b80cc532 Mon Sep 17 00:00:00 2001
From: Bakadax <bakadax@qq.com>
Date: Thu, 8 May 2025 21:42:40 +0800
Subject: [PATCH] =?UTF-8?q?=E6=9D=80=E6=8E=89=E5=A4=9A=E4=BD=99loggerinfo?=
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---
 src/plugins/PFC/actions.py           | 4 ++--
 src/plugins/PFC/conversation_loop.py | 2 +-
 src/plugins/PFC/pfc_emotion.py       | 4 ++--
 3 files changed, 5 insertions(+), 5 deletions(-)

diff --git a/src/plugins/PFC/actions.py b/src/plugins/PFC/actions.py
index 80ea2d1d..8d8a9e0f 100644
--- a/src/plugins/PFC/actions.py
+++ b/src/plugins/PFC/actions.py
@@ -295,7 +295,7 @@ async def handle_action(
                 # 后续的 plan 循环会检测到这个 "done_no_reply" 状态并使用反思 prompt
 
             elif is_suitable:  # 适用于 direct_reply 或 (send_new_message 且 RG决定发送并通过检查)
-                logger.info(f"[私聊][{conversation_instance.private_name}] 动作 '{action}': 找到合适的回复，准备发送。")
+                logger.debug(f"[私聊][{conversation_instance.private_name}] 动作 '{action}': 找到合适的回复，准备发送。")
                 # conversation_info.last_reply_rejection_reason = None # 已在循环内清除
                 # conversation_info.last_rejected_reply_content = None
                 conversation_instance.generated_reply = generated_content_for_check_or_send  # 使用检查通过的内容
@@ -311,7 +311,7 @@ async def handle_action(
                     action_successful = True
                     final_status = "done"  # 明确设置 final_status
                     final_reason = "成功发送"  # 明确设置 final_reason
-                    logger.info(f"[私聊][{conversation_instance.private_name}] 动作 '{action}': 成功发送回复.")
+                    logger.debug(f"[私聊][{conversation_instance.private_name}] 动作 '{action}': 成功发送回复.")
 
                     # --- 新增：将机器人发送的消息添加到 ObservationInfo 的 chat_history ---
                     if (
diff --git a/src/plugins/PFC/conversation_loop.py b/src/plugins/PFC/conversation_loop.py
index 4b65e99f..d0cd287d 100644
--- a/src/plugins/PFC/conversation_loop.py
+++ b/src/plugins/PFC/conversation_loop.py
@@ -28,7 +28,7 @@ async def run_conversation_loop(conversation_instance: "Conversation"):
     核心的规划与行动循环 (PFC Loop)。
     之前是 Conversation 类中的 _plan_and_action_loop 方法。
     """
-    logger.info(f"[私聊][{conversation_instance.private_name}] 进入 run_conversation_loop 循环。")
+    logger.debug(f"[私聊][{conversation_instance.private_name}] 进入 run_conversation_loop 循环。")
 
     if not conversation_instance._initialized:
         logger.error(f"[私聊][{conversation_instance.private_name}] 尝试在未初始化状态下运行规划循环，退出。")
diff --git a/src/plugins/PFC/pfc_emotion.py b/src/plugins/PFC/pfc_emotion.py
index 5237d7b2..d2496520 100644
--- a/src/plugins/PFC/pfc_emotion.py
+++ b/src/plugins/PFC/pfc_emotion.py
@@ -102,11 +102,11 @@ class PfcEmotionUpdater:
                 and detected_emotion_word in self.mood_mng.emotion_map
             ):
                 self.mood_mng.update_mood_from_emotion(detected_emotion_word, intensity=self.EMOTION_UPDATE_INTENSITY)
-                logger.info(
+                logger.debug(
                     f"[私聊][{self.private_name}] 基于事件 '{event_description}'，情绪已更新为倾向于 '{detected_emotion_word}'。当前心情: {self.mood_mng.current_mood.text}"
                 )
             elif detected_emotion_word == "无变化":
-                logger.info(f"[私聊][{self.private_name}] 基于事件 '{event_description}'，LLM判断情绪无显著变化。")
+                logger.debug(f"[私聊][{self.private_name}] 基于事件 '{event_description}'，LLM判断情绪无显著变化。")
             else:
                 logger.warning(
                     f"[私聊][{self.private_name}] LLM返回了未知的情绪词 '{detected_emotion_word}' 或未返回有效词，情绪未主动更新。"