better：优化关系构建

src/chat/focus_chat/heartFC_chat.py

@@ -237,7 +237,7 @@ class HeartFChatting:
                 if if_think:
                     self.energy_value *= 1.1 / (global_config.chat.focus_value + 0.2)
                     logger.info(f"{self.log_prefix} 麦麦进行了思考，能量值增加1，当前能量值：{self.energy_value}")
-                return False
+                return True
 
             await asyncio.sleep(1)
 

src/chat/replyer/default_generator.py

@@ -302,7 +302,7 @@ class DefaultReplyer:
             traceback.print_exc()
             return False, None
 
-    async def build_relation_info(self, reply_data=None, chat_history=None):
+    async def build_relation_info(self, reply_data=None):
         if not global_config.relationship.enable_relationship:
             return ""
 
@@ -321,7 +321,7 @@ class DefaultReplyer:
             logger.warning(f"{self.log_prefix} 未找到用户 {sender} 的ID，跳过信息提取")
             return f"你完全不认识{sender}，不理解ta的相关信息。"
 
-        return await relationship_fetcher.build_relation_info(person_id, text, chat_history)
+        return await relationship_fetcher.build_relation_info(person_id, points_num=5)
 
     async def build_expression_habits(self, chat_history, target):
         if not global_config.expression.enable_expression:
@@ -619,7 +619,7 @@ class DefaultReplyer:
                 self.build_expression_habits(chat_talking_prompt_short, target), "build_expression_habits"
             ),
             self._time_and_run_task(
-                self.build_relation_info(reply_data, chat_talking_prompt_short), "build_relation_info"
+                self.build_relation_info(reply_data), "build_relation_info"
             ),
             self._time_and_run_task(self.build_memory_block(chat_talking_prompt_short, target), "build_memory_block"),
             self._time_and_run_task(
@@ -806,7 +806,7 @@ class DefaultReplyer:
         # 并行执行2个构建任务
         expression_habits_block, relation_info = await asyncio.gather(
             self.build_expression_habits(chat_talking_prompt_half, target),
-            self.build_relation_info(reply_data, chat_talking_prompt_half),
+            self.build_relation_info(reply_data),
         )
 
         keywords_reaction_prompt = await self.build_keywords_reaction_prompt(target)

src/person_info/relationship_fetcher.py

@@ -96,7 +96,7 @@ class RelationshipFetcher:
             if not self.info_fetched_cache[person_id]:
                 del self.info_fetched_cache[person_id]
 
-    async def build_relation_info(self, person_id, target_message, chat_history):
+    async def build_relation_info(self, person_id, points_num = 3):
         # 清理过期的信息缓存
         self._cleanup_expired_cache()
 
@@ -124,13 +124,13 @@ class RelationshipFetcher:
         # 按时间排序forgotten_points
         current_points.sort(key=lambda x: x[2])
         # 按权重加权随机抽取最多3个不重复的points，point[1]的值在1-10之间，权重越高被抽到概率越大
-        if len(current_points) > 3:
+        if len(current_points) > points_num:
             # point[1] 取值范围1-10，直接作为权重
             weights = [max(1, min(10, int(point[1]))) for point in current_points]
             # 使用加权采样不放回，保证不重复
             indices = list(range(len(current_points)))
             points = []
-            for _ in range(3):
+            for _ in range(points_num):
                 if not indices:
                     break
                 sub_weights = [weights[i] for i in indices]
@@ -143,12 +143,6 @@ class RelationshipFetcher:
         # 构建points文本
         points_text = "\n".join([f"{point[2]}：{point[0]}" for point in points])
 
-        # info_type = await self._build_fetch_query(person_id, target_message, chat_history)
-        # if info_type:
-        # await self._extract_single_info(person_id, info_type, person_name)
-
-        # relation_info = self._organize_known_info()
-
         nickname_str = ""
         if person_name != nickname_str:
             nickname_str = f"(ta在{platform}上的昵称是{nickname_str})"