处理关系的prompt

src/plugins/chat/prompt_builder.py

@@ -7,9 +7,10 @@ from ..memory_system.Hippocampus import HippocampusManager
 from ..moods.moods import MoodManager
 from ..schedule.schedule_generator import bot_schedule
 from ..config.config import global_config
-from .utils import get_embedding, get_recent_group_detailed_plain_text
+from .utils import get_embedding, get_recent_group_detailed_plain_text, get_recent_group_speaker
 from .chat_stream import chat_manager
 from src.common.logger import get_module_logger
+from .relationship_manager import relationship_manager
 
 from src.heart_flow.heartflow import heartflow
 
@@ -29,6 +30,25 @@ class PromptBuilder:
 
         # 开始构建prompt
 
+        # 关系
+        who_chat_in_group = [(chat_stream.user_info.platform, 
+                              chat_stream.user_info.user_id, 
+                              chat_stream.user_info.user_nickname)]
+        who_chat_in_group += get_recent_group_speaker(
+            stream_id,
+            (chat_stream.user_info.platform, chat_stream.user_info.user_id),
+            limit=global_config.MAX_CONTEXT_SIZE,
+        )
+        
+        relation_prompt = ""
+        for person in who_chat_in_group:
+            relation_prompt += await relationship_manager.build_relationship_info(person)
+
+        relation_prompt_all = (
+            f"{relation_prompt}关系等级越大，关系越好，请分析聊天记录，"
+            f"根据你和说话者{sender_name}的关系和态度进行回复，明确你的立场和情感。"
+        )
+
         # 心情
         mood_manager = MoodManager.get_instance()
         mood_prompt = mood_manager.get_prompt()
@@ -116,14 +136,14 @@ class PromptBuilder:
 {chat_talking_prompt}
 你刚刚脑子里在想：
 {current_mind_info}
-现在"{sender_name}"说的:{message_txt}。引起了你的注意，你想要在群里发言发言或者回复这条消息。\n
+现在"{sender_name}"说的:{message_txt}。引起了你的注意，你想要在群里发言发言或者回复这条消息。{relation_prompt_all}\n
 你的网名叫{global_config.BOT_NICKNAME}，有人也叫你{"/".join(global_config.BOT_ALIAS_NAMES)}，{prompt_personality}。
 你正在{chat_target_2},现在请你读读之前的聊天记录，然后给出日常且口语化的回复，平淡一些，
 尽量简短一些。{keywords_reaction_prompt}请注意把握聊天内容，不要回复的太有条理，可以有个性。{prompt_ger}
 请回复的平淡一些，简短一些，说中文，不要刻意突出自身学科背景，尽量不要说你说过的话 
 请注意不要输出多余内容(包括前后缀，冒号和引号，括号，表情等)，只输出回复内容。
 {moderation_prompt}不要输出多余内容(包括前后缀，冒号和引号，括号，表情包，at或 @等 )。"""
-
+        
         return prompt
 
     def _build_initiative_prompt_select(self, group_id, probability_1=0.8, probability_2=0.1):

src/plugins/chat/relationship_manager.py

@@ -137,29 +137,24 @@ class RelationshipManager:
 
         await person_info_manager.update_one_field(person_id, "relationship_value", old_value + value, data)
 
-    def build_relationship_info(self, person) -> str:
-        person_id = person_info_manager.get_person_id(person.user_info.platform, person.user_info.user_id)
-        relationship_value = person_info_manager.get_value(person_id, "relationship_value")
+    async def build_relationship_info(self, person) -> str:
+        person_id = person_info_manager.get_person_id(person[0], person[1])
+        relationship_value = await person_info_manager.get_value(person_id, "relationship_value")
         level_num = self.calculate_level_num(relationship_value)
         relationship_level = ["厌恶", "冷漠", "一般", "友好", "喜欢", "暧昧"]
         relation_prompt2_list = [
-            "冷漠回应",
+            "厌恶回应",
             "冷淡回复",
             "保持理性",
             "愿意回复",
             "积极回复",
             "无条件支持",
         ]
-        if person.user_info.user_cardname:
-            return (
-                f"你对昵称为'[({person.user_info.user_id}){person.user_info.user_nickname}]{person.user_info.user_cardname}'的用户的态度为{relationship_level[level_num]}，"
-                f"回复态度为{relation_prompt2_list[level_num]}，关系等级为{level_num}。"
-            )
-        else:
-            return (
-                f"你对昵称为'({person.user_info.user_id}){person.user_info.user_nickname}'的用户的态度为{relationship_level[level_num]}，"
-                f"回复态度为{relation_prompt2_list[level_num]}，关系等级为{level_num}。"
-            )
+
+        return (
+            f"你对昵称为'({person[1]}){person[2]}'的用户的态度为{relationship_level[level_num]}，"
+            f"回复态度为{relation_prompt2_list[level_num]}，关系等级为{level_num}。"
+        )
 
     def calculate_level_num(self, relationship_value) -> int:
         """关系等级计算"""

src/plugins/chat/utils.py

@@ -149,7 +149,6 @@ def get_recent_group_speaker(chat_stream_id: int, sender, limit: int = 12) -> li
         db.messages.find(
             {"chat_id": chat_stream_id},
             {
-                "chat_info": 1,
                 "user_info": 1,
             },
         )
@@ -160,20 +159,17 @@ def get_recent_group_speaker(chat_stream_id: int, sender, limit: int = 12) -> li
     if not recent_messages:
         return []
 
-    who_chat_in_group = []  # ChatStream列表
-
-    duplicate_removal = []
+    who_chat_in_group = []
     for msg_db_data in recent_messages:
         user_info = UserInfo.from_dict(msg_db_data["user_info"])
         if (
-            (user_info.user_id, user_info.platform) != sender
-            and (user_info.user_id, user_info.platform) != (global_config.BOT_QQ, "qq")
-            and (user_info.user_id, user_info.platform) not in duplicate_removal
-            and len(duplicate_removal) < 5
+            (user_info.platform, user_info.user_id) != sender
+            and user_info.user_id != global_config.BOT_QQ
+            and (user_info.platform, user_info.user_id, user_info.user_nickname) not in who_chat_in_group
+            and len(who_chat_in_group) < 5
         ):  # 排除重复，排除消息发送者，排除bot(此处bot的平台强制为了qq，可能需要更改)，限制加载的关系数目
-            duplicate_removal.append((user_info.user_id, user_info.platform))
-            chat_info = msg_db_data.get("chat_info", {})
-            who_chat_in_group.append(ChatStream.from_dict(chat_info))
+            who_chat_in_group.append((user_info.platform, user_info.user_id, user_info.user_nickname))
+
     return who_chat_in_group