fix：修复一处关系构建错误，修复一处表达方式错误

src/chat/express/expression_learner.py

@@ -330,48 +330,8 @@ class ExpressionLearner:
         """
         current_time = time.time()
 
-        # 全局衰减所有已存储的表达方式
-        for type in ["style", "grammar"]:
-            base_dir = os.path.join("data", "expression", f"learnt_{type}")
-            if not os.path.exists(base_dir):
-                logger.debug(f"目录不存在，跳过衰减: {base_dir}")
-                continue
-
-            try:
-                chat_ids = os.listdir(base_dir)
-                logger.debug(f"在 {base_dir} 中找到 {len(chat_ids)} 个聊天ID目录进行衰减")
-            except Exception as e:
-                logger.error(f"读取目录失败 {base_dir}: {e}")
-                continue
-
-            for chat_id in chat_ids:
-                file_path = os.path.join(base_dir, chat_id, "expressions.json")
-                if not os.path.exists(file_path):
-                    continue
-
-                try:
-                    with open(file_path, "r", encoding="utf-8") as f:
-                        expressions = json.load(f)
-
-                    if not isinstance(expressions, list):
-                        logger.warning(f"表达方式文件格式错误，跳过衰减: {file_path}")
-                        continue
-
-                    # 应用全局衰减
-                    decayed_expressions = self.apply_decay_to_expressions(expressions, current_time)
-
-                    # 保存衰减后的结果
-                    with open(file_path, "w", encoding="utf-8") as f:
-                        json.dump(decayed_expressions, f, ensure_ascii=False, indent=2)
-                        
-                    logger.debug(f"已对 {file_path} 应用衰减，剩余 {len(decayed_expressions)} 个表达方式")
-                except json.JSONDecodeError as e:
-                    logger.error(f"JSON解析失败，跳过衰减 {file_path}: {e}")
-                except PermissionError as e:
-                    logger.error(f"权限不足，无法更新 {file_path}: {e}")
-                except Exception as e:
-                    logger.error(f"全局衰减{type}表达方式失败 {file_path}: {e}")
-                    continue
+        # 全局衰减所有已存储的表达方式（直接操作数据库）
+        self._apply_global_decay_to_database(current_time)
 
         learnt_style: Optional[List[Tuple[str, str, str]]] = []
         learnt_grammar: Optional[List[Tuple[str, str, str]]] = []
@@ -388,6 +348,42 @@ class ExpressionLearner:
 
         return learnt_style, learnt_grammar
 
+    def _apply_global_decay_to_database(self, current_time: float) -> None:
+        """
+        对数据库中的所有表达方式应用全局衰减
+        """
+        try:
+            # 获取所有表达方式
+            all_expressions = Expression.select()
+            
+            updated_count = 0
+            deleted_count = 0
+            
+            for expr in all_expressions:
+                # 计算时间差
+                last_active = expr.last_active_time
+                time_diff_days = (current_time - last_active) / (24 * 3600)  # 转换为天
+                
+                # 计算衰减值
+                decay_value = self.calculate_decay_factor(time_diff_days)
+                new_count = max(0.01, expr.count - decay_value)
+                
+                if new_count <= 0.01:
+                    # 如果count太小，删除这个表达方式
+                    expr.delete_instance()
+                    deleted_count += 1
+                else:
+                    # 更新count
+                    expr.count = new_count
+                    expr.save()
+                    updated_count += 1
+            
+            if updated_count > 0 or deleted_count > 0:
+                logger.info(f"全局衰减完成：更新了 {updated_count} 个表达方式，删除了 {deleted_count} 个表达方式")
+                
+        except Exception as e:
+            logger.error(f"数据库全局衰减失败: {e}")
+
     def calculate_decay_factor(self, time_diff_days: float) -> float:
         """
         计算衰减值
@@ -410,30 +406,6 @@ class ExpressionLearner:
 
         return min(0.01, decay)
 
-    def apply_decay_to_expressions(
-        self, expressions: List[Dict[str, Any]], current_time: float
-    ) -> List[Dict[str, Any]]:
-        """
-        对表达式列表应用衰减
-        返回衰减后的表达式列表，移除count小于0的项
-        """
-        result = []
-        for expr in expressions:
-            # 确保last_active_time存在，如果不存在则使用current_time
-            if "last_active_time" not in expr:
-                expr["last_active_time"] = current_time
-
-            last_active = expr["last_active_time"]
-            time_diff_days = (current_time - last_active) / (24 * 3600)  # 转换为天
-
-            decay_value = self.calculate_decay_factor(time_diff_days)
-            expr["count"] = max(0.01, expr.get("count", 1) - decay_value)
-
-            if expr["count"] > 0:
-                result.append(expr)
-
-        return result
-
     async def learn_and_store(self, type: str, num: int = 10) -> List[Tuple[str, str, str]]:
         # sourcery skip: use-join
         """

src/chat/express/expression_selector.py

@@ -2,7 +2,7 @@ import json
 import time
 import random
 
-from typing import List, Dict, Tuple, Optional
+from typing import List, Dict, Tuple, Optional, Any
 from json_repair import repair_json
 
 from src.llm_models.utils_model import LLMRequest
@@ -117,36 +117,42 @@ class ExpressionSelector:
 
     def get_random_expressions(
         self, chat_id: str, total_num: int, style_percentage: float, grammar_percentage: float
-    ) -> Tuple[List[Dict[str, str]], List[Dict[str, str]]]:
+    ) -> Tuple[List[Dict[str, Any]], List[Dict[str, Any]]]:
         # 支持多chat_id合并抽选
         related_chat_ids = self.get_related_chat_ids(chat_id)
-        style_exprs = []
-        grammar_exprs = []
-        for cid in related_chat_ids:
-            style_query = Expression.select().where((Expression.chat_id == cid) & (Expression.type == "style"))
-            grammar_query = Expression.select().where((Expression.chat_id == cid) & (Expression.type == "grammar"))
-            style_exprs.extend([
-                {
-                    "situation": expr.situation,
-                    "style": expr.style,
-                    "count": expr.count,
-                    "last_active_time": expr.last_active_time,
-                    "source_id": cid,
-                    "type": "style",
-                    "create_date": expr.create_date if expr.create_date is not None else expr.last_active_time,
-                } for expr in style_query
-            ])
-            grammar_exprs.extend([
-                {
-                    "situation": expr.situation,
-                    "style": expr.style,
-                    "count": expr.count,
-                    "last_active_time": expr.last_active_time,
-                    "source_id": cid,
-                    "type": "grammar",
-                    "create_date": expr.create_date if expr.create_date is not None else expr.last_active_time,
-                } for expr in grammar_query
-            ])
+        
+        # 优化：一次性查询所有相关chat_id的表达方式
+        style_query = Expression.select().where(
+            (Expression.chat_id.in_(related_chat_ids)) & (Expression.type == "style")
+        )
+        grammar_query = Expression.select().where(
+            (Expression.chat_id.in_(related_chat_ids)) & (Expression.type == "grammar")
+        )
+        
+        style_exprs = [
+            {
+                "situation": expr.situation,
+                "style": expr.style,
+                "count": expr.count,
+                "last_active_time": expr.last_active_time,
+                "source_id": expr.chat_id,
+                "type": "style",
+                "create_date": expr.create_date if expr.create_date is not None else expr.last_active_time,
+            } for expr in style_query
+        ]
+        
+        grammar_exprs = [
+            {
+                "situation": expr.situation,
+                "style": expr.style,
+                "count": expr.count,
+                "last_active_time": expr.last_active_time,
+                "source_id": expr.chat_id,
+                "type": "grammar",
+                "create_date": expr.create_date if expr.create_date is not None else expr.last_active_time,
+            } for expr in grammar_query
+        ]
+        
         style_num = int(total_num * style_percentage)
         grammar_num = int(total_num * grammar_percentage)
         # 按权重抽样（使用count作为权重）
@@ -162,7 +168,7 @@ class ExpressionSelector:
             selected_grammar = []
         return selected_style, selected_grammar
 
-    def update_expressions_count_batch(self, expressions_to_update: List[Dict[str, str]], increment: float = 0.1):
+    def update_expressions_count_batch(self, expressions_to_update: List[Dict[str, Any]], increment: float = 0.1):
         """对一批表达方式更新count值，按chat_id+type分组后一次性写入数据库"""
         if not expressions_to_update:
             return
@@ -203,7 +209,7 @@ class ExpressionSelector:
         max_num: int = 10,
         min_num: int = 5,
         target_message: Optional[str] = None,
-    ) -> List[Dict[str, str]]:
+    ) -> List[Dict[str, Any]]:
         # sourcery skip: inline-variable, list-comprehension
         """使用LLM选择适合的表达方式"""
 

src/person_info/relationship_manager.py

@@ -139,7 +139,7 @@ class RelationshipManager:
 请用json格式输出，引起了你的兴趣，或者有什么需要你记忆的点。
 并为每个点赋予1-10的权重，权重越高，表示越重要。
 格式如下:
-{{
+[
     {{
         "point": "{person_name}想让我记住他的生日，我回答确认了，他的生日是11月23日",
         "weight": 10
@@ -156,13 +156,10 @@ class RelationshipManager:
         "point": "{person_name}喜欢吃辣，具体来说，没有辣的食物ta都不喜欢吃，可能是因为ta是湖南人。",
         "weight": 7
     }}
-}}
+]
 
-如果没有，就输出none,或points为空：
-{{
-    "point": "none",
-    "weight": 0
-}}
+如果没有，就输出none,或返回空数组：
+[]
 """
 
         # 调用LLM生成印象
@@ -184,17 +181,25 @@ class RelationshipManager:
         try:
             points = repair_json(points)
             points_data = json.loads(points)
-            if points_data == "none" or not points_data or points_data.get("point") == "none":
+            
+            # 只处理正确的格式，错误格式直接跳过
+            if points_data == "none" or not points_data:
                 points_list = []
+            elif isinstance(points_data, str) and points_data.lower() == "none":
+                points_list = []
+            elif isinstance(points_data, list):
+                # 正确格式：数组格式 [{"point": "...", "weight": 10}, ...]
+                if not points_data:  # 空数组
+                    points_list = []
+                else:
+                    points_list = [(item["point"], float(item["weight"]), current_time) for item in points_data]
             else:
-                # logger.info(f"points_data: {points_data}")
-                if isinstance(points_data, dict) and "points" in points_data:
-                    points_data = points_data["points"]
-                if not isinstance(points_data, list):
-                    points_data = [points_data]
-                # 添加可读时间到每个point
-                points_list = [(item["point"], float(item["weight"]), current_time) for item in points_data]
+                # 错误格式，直接跳过不解析
+                logger.warning(f"LLM返回了错误的JSON格式，跳过解析: {type(points_data)}, 内容: {points_data}")
+                points_list = []
 
+            # 权重过滤逻辑
+            if points_list:
                 original_points_list = list(points_list)
                 points_list.clear()
                 discarded_count = 0