fix:优化关系构建的prompt

src/person_info/relationship_fetcher.py

@@ -120,27 +120,39 @@ 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3个points，point[1]的值在1-10之间，权重越高被抽到概率越大
+        # 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:
             # 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]
-            points = random.choices(current_points, weights=weights, k=3)
+            # 使用加权采样不放回，保证不重复
+            indices = list(range(len(current_points)))
+            selected_indices = set()
+            points = []
+            for _ in range(3):
+                if not indices:
+                    break
+                sub_weights = [weights[i] for i in indices]
+                chosen_idx = random.choices(indices, weights=sub_weights, k=1)[0]
+                points.append(current_points[chosen_idx])
+                indices.remove(chosen_idx)
         else:
             points = current_points
 
         # 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)
+        # info_type = await self._build_fetch_query(person_id, target_message, chat_history)
-        if info_type:
+        # if info_type:
-            await self._extract_single_info(person_id, info_type, person_name)
+            # await self._extract_single_info(person_id, info_type, person_name)
 
-        relation_info = self._organize_known_info()
+        # 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})"
 
+        relation_info = ""
+
         if short_impression and relation_info:
             if points_text:
                 relation_info = f"你对{person_name}的印象是{nickname_str}：{short_impression}。具体来说：{relation_info}。你还记得ta最近做的事：{points_text}"

src/person_info/relationship_manager.py

@@ -68,7 +68,7 @@ class RelationshipManager:
         short_impression = await person_info_manager.get_value(person_id, "short_impression")
 
         current_points = await person_info_manager.get_value(person_id, "points") or []
-        print(f"current_points: {current_points}")
+        # print(f"current_points: {current_points}")
         if isinstance(current_points, str):
             try:
                 current_points = json.loads(current_points)
@@ -89,7 +89,7 @@ class RelationshipManager:
             points = current_points
 
         # 构建points文本
-        points_text = "\n".join([f"{point[2]}：{point[0]}\n" for point in points])
+        points_text = "\n".join([f"{point[2]}：{point[0]}" for point in points])
 
         nickname_str = await person_info_manager.get_value(person_id, "nickname")
         platform = await person_info_manager.get_value(person_id, "platform")
@@ -360,19 +360,19 @@ class RelationshipManager:
         # 根据熟悉度，调整印象和简短印象的最大长度
         if know_times > 300:
             max_impression_length = 2000
-            max_short_impression_length = 800
+            max_short_impression_length = 400
         elif know_times > 100:
             max_impression_length = 1000
-            max_short_impression_length = 500
+            max_short_impression_length = 250
         elif know_times > 50:
             max_impression_length = 500
-            max_short_impression_length = 300
+            max_short_impression_length = 150
         elif know_times > 10:
             max_impression_length = 200
-            max_short_impression_length = 100
+            max_short_impression_length = 60
         else:
             max_impression_length = 100
-            max_short_impression_length = 50
+            max_short_impression_length = 30
 
         # 根据好感度，调整印象和简短印象的最大长度
         attitude_multiplier = (abs(100 - attitude) / 100) + 1