优化日志

src/chat/express/expression_learner.py

@@ -542,7 +542,7 @@ class ExpressionLearner:
                     # 获取 StyleLearner 实例
                     learner = style_learner_manager.get_learner(chat_id)
 
-                    logger.info(f"开始训练 StyleLearner: chat_id={chat_id}, 样本数={len(expr_list)}")
+                    logger.debug(f"开始训练 StyleLearner: chat_id={chat_id}, 样本数={len(expr_list)}")
 
                     # 为每个学习到的表达方式训练模型
                     # 使用 situation 作为输入，style 作为目标
@@ -566,12 +566,12 @@ class ExpressionLearner:
 
                     # 保存模型
                     if learner.save(style_learner_manager.model_save_path):
-                        logger.info(f"StyleLearner 模型保存成功: {chat_id}")
+                        logger.debug(f"StyleLearner 模型保存成功: {chat_id}")
                     else:
                         logger.error(f"StyleLearner 模型保存失败: {chat_id}")
 
                 except Exception as e:
-                    logger.error(f"训练 StyleLearner 失败: {e}", exc_info=True)
+                    logger.error(f"训练 StyleLearner 失败: {e}")
 
             return learnt_expressions
         return None

src/chat/express/expressor_model/model.py

@@ -38,7 +38,7 @@ class ExpressorModel:
         self._candidates: dict[str, str] = {}  # cid -> text (style)
         self._situations: dict[str, str] = {}  # cid -> situation (不参与计算)
 
-        logger.info(
+        logger.debug(
             f"ExpressorModel初始化完成 (alpha={alpha}, beta={beta}, gamma={gamma}, vocab_size={vocab_size}, use_jieba={use_jieba})"
         )
 
@@ -199,8 +199,6 @@ class ExpressorModel:
         with open(path, "wb") as f:
             pickle.dump(data, f)
 
-        logger.info(f"模型已保存到 {path}")
-
     def load(self, path: str):
         """
         从文件加载模型
@@ -230,7 +228,7 @@ class ExpressorModel:
         for cid, tc in data["nb_token_counts"].items():
             self.nb.token_counts[cid] = defaultdict(float, tc)
 
-        logger.info(f"模型已从 {path} 加载")
+        logger.debug(f"模型已从 {path} 加载")
 
     def get_stats(self) -> dict:
         """获取模型统计信息"""

src/chat/express/expressor_model/tokenizer.py

@@ -24,7 +24,7 @@ class Tokenizer:
                 import rjieba  # noqa: F401
 
                 # rjieba 会自动初始化，无需手动调用
-                logger.info("RJieba分词器初始化成功")
+                logger.debug("RJieba分词器初始化成功")
             except ImportError:
                 logger.warning("RJieba未安装，将使用字符级分词")
                 self.use_jieba = False

src/chat/express/style_learner.py

@@ -51,8 +51,6 @@ class StyleLearner:
             "last_update": time.time(),
         }
 
-        logger.info(f"StyleLearner初始化成功: chat_id={chat_id}")
-
     def add_style(self, style: str, situation: str | None = None) -> bool:
         """
         动态添加一个新的风格
@@ -178,7 +176,7 @@ class StyleLearner:
                 logger.debug(f"被删除的风格样例(前5): {deleted_styles[:5]}")
 
         except Exception as e:
-            logger.error(f"清理风格失败: {e}", exc_info=True)
+            logger.error(f"清理风格失败: {e}")
 
     def learn_mapping(self, up_content: str, style: str) -> bool:
         """
@@ -271,7 +269,7 @@ class StyleLearner:
             return best_style, style_scores
 
         except Exception as e:
-            logger.error(f"预测style失败: {e}", exc_info=True)
+            logger.error(f"预测style失败: {e}")
             return None, {}
 
     def get_style_info(self, style: str) -> tuple[str | None, str | None]:
@@ -373,7 +371,6 @@ class StyleLearner:
             with open(meta_path, "wb") as f:
                 pickle.dump(meta_data, f)
 
-            logger.info(f"StyleLearner保存成功: {save_dir}")
             return True
 
         except Exception as e:
@@ -421,7 +418,6 @@ class StyleLearner:
                 if "style_last_used" not in self.learning_stats:
                     self.learning_stats["style_last_used"] = {}
 
-            logger.info(f"StyleLearner加载成功: {save_dir}")
             return True
 
         except Exception as e:
@@ -454,7 +450,7 @@ class StyleLearnerManager:
         # 确保保存目录存在
         os.makedirs(model_save_path, exist_ok=True)
 
-        logger.info(f"StyleLearnerManager初始化成功, 模型保存路径: {model_save_path}")
+        logger.debug(f"StyleLearnerManager初始化成功, 模型保存路径: {model_save_path}")
 
     def get_learner(self, chat_id: str, model_config: dict | None = None) -> StyleLearner:
         """
@@ -520,7 +516,7 @@ class StyleLearnerManager:
             if not learner.save(self.model_save_path):
                 success = False
 
-        logger.info(f"保存所有StyleLearner {'成功' if success else '部分失败'}")
+        logger.debug(f"保存所有StyleLearner {'成功' if success else '部分失败'}")
         return success
 
     def cleanup_all_old_styles(self, ratio: float | None = None) -> dict[str, int]:
@@ -540,7 +536,7 @@ class StyleLearnerManager:
                 cleanup_results[chat_id] = cleaned
 
         total_cleaned = sum(cleanup_results.values())
-        logger.info(f"清理所有StyleLearner完成: 总共清理了 {total_cleaned} 个风格")
+        logger.debug(f"清理所有StyleLearner完成: 总共清理了 {total_cleaned} 个风格")
         return cleanup_results
 
     def apply_decay_all(self, factor: float | None = None):
@@ -553,7 +549,7 @@ class StyleLearnerManager:
         for learner in self.learners.values():
             learner.apply_decay(factor)
 
-        logger.info("对所有StyleLearner应用知识衰减")
+        logger.debug("对所有StyleLearner应用知识衰减")
 
     def get_all_stats(self) -> dict[str, dict]:
         """