import hashlib import asyncio import json import time import random from json_repair import repair_json from typing import Union from src.common.logger import get_logger from src.common.database.database import db from src.common.database.database_model import PersonInfo from src.llm_models.utils_model import LLMRequest from src.config.config import global_config, model_config logger = get_logger("person_info") def get_person_id(platform: str, user_id: Union[int, str]) -> str: """获取唯一id""" if "-" in platform: platform = platform.split("-")[1] components = [platform, str(user_id)] key = "_".join(components) return hashlib.md5(key.encode()).hexdigest() def get_person_id_by_person_name(person_name: str) -> str: """根据用户名获取用户ID""" try: record = PersonInfo.get_or_none(PersonInfo.person_name == person_name) return record.person_id if record else "" except Exception as e: logger.error(f"根据用户名 {person_name} 获取用户ID时出错 (Peewee): {e}") return "" def is_person_known(person_id: str = None,user_id: str = None,platform: str = None,person_name: str = None) -> bool: if person_id: person = PersonInfo.get_or_none(PersonInfo.person_id == person_id) return person.is_known if person else False elif user_id and platform: person_id = get_person_id(platform, user_id) person = PersonInfo.get_or_none(PersonInfo.person_id == person_id) return person.is_known if person else False elif person_name: person_id = get_person_id_by_person_name(person_name) person = PersonInfo.get_or_none(PersonInfo.person_id == person_id) return person.is_known if person else False else: return False class Person: @classmethod def register_person(cls, platform: str, user_id: str, nickname: str): """ 注册新用户的类方法 必须输入 platform、user_id 和 nickname 参数 Args: platform: 平台名称 user_id: 用户ID nickname: 用户昵称 Returns: Person: 新注册的Person实例 """ if not platform or not user_id or not nickname: logger.error("注册用户失败：platform、user_id 和 nickname 都是必需参数") return None # 生成唯一的person_id person_id = get_person_id(platform, user_id) if is_person_known(person_id=person_id): logger.info(f"用户 {nickname} 已存在") return Person(person_id=person_id) # 创建Person实例 person = cls.__new__(cls) # 设置基本属性 person.person_id = person_id person.platform = platform person.user_id = user_id person.nickname = nickname # 初始化默认值 person.is_known = True # 注册后立即标记为已认识 person.person_name = nickname # 使用nickname作为初始person_name person.name_reason = "用户注册时设置的昵称" person.know_times = 1 person.know_since = time.time() person.last_know = time.time() person.points = [] # 初始化性格特征相关字段 person.attitude_to_me = 0 person.attitude_to_me_confidence = 1 person.neuroticism = 5 person.neuroticism_confidence = 1 person.friendly_value = 50 person.friendly_value_confidence = 1 person.rudeness = 50 person.rudeness_confidence = 1 person.conscientiousness = 50 person.conscientiousness_confidence = 1 person.likeness = 50 person.likeness_confidence = 1 # 同步到数据库 person.sync_to_database() logger.info(f"成功注册新用户：{person_id}，平台：{platform}，昵称：{nickname}") return person def __init__(self, platform: str = "", user_id: str = "",person_id: str = "",person_name: str = ""): if platform == global_config.bot.platform and user_id == global_config.bot.qq_account: self.is_known = True self.person_id = get_person_id(platform, user_id) self.user_id = user_id self.platform = platform self.nickname = global_config.bot.nickname self.person_name = global_config.bot.nickname return self.user_id = "" self.platform = "" if person_id: self.person_id = person_id elif person_name: self.person_id = get_person_id_by_person_name(person_name) if not self.person_id: logger.error(f"根据用户名 {person_name} 获取用户ID时出错，不存在用户{person_name}") return elif platform and user_id: self.person_id = get_person_id(platform, user_id) self.user_id = user_id self.platform = platform else: logger.error("Person 初始化失败，缺少必要参数") raise ValueError("Person 初始化失败，缺少必要参数") if not is_person_known(person_id=self.person_id): self.is_known = False logger.warning(f"用户 {platform}:{user_id}:{person_name}:{person_id} 尚未认识") self.person_name = f"未知用户{self.person_id[:4]}" return self.is_known = False # 初始化默认值 self.nickname = "" self.person_name = None self.name_reason = None self.know_times = 0 self.know_since = None self.last_know = None self.points = [] # 初始化性格特征相关字段 self.attitude_to_me:float = 0 self.attitude_to_me_confidence:float = 1 self.neuroticism:float = 5 self.neuroticism_confidence:float = 1 self.friendly_value:float = 50 self.friendly_value_confidence:float = 1 self.rudeness:float = 50 self.rudeness_confidence:float = 1 self.conscientiousness:float = 50 self.conscientiousness_confidence:float = 1 self.likeness:float = 50 self.likeness_confidence:float = 1 # 从数据库加载数据 self.load_from_database() def load_from_database(self): """从数据库加载个人信息数据""" try: # 查询数据库中的记录 record = PersonInfo.get_or_none(PersonInfo.person_id == self.person_id) if record: self.user_id = record.user_id if record.user_id else "" self.platform = record.platform if record.platform else "" self.is_known = record.is_known if record.is_known else False self.nickname = record.nickname if record.nickname else "" self.person_name = record.person_name if record.person_name else self.nickname self.name_reason = record.name_reason if record.name_reason else None self.know_times = record.know_times if record.know_times else 0 # 处理points字段（JSON格式的列表） if record.points: try: self.points = json.loads(record.points) except (json.JSONDecodeError, TypeError): logger.warning(f"解析用户 {self.person_id} 的points字段失败，使用默认值") self.points = [] else: self.points = [] # 加载性格特征相关字段 if record.attitude_to_me and not isinstance(record.attitude_to_me, str): self.attitude_to_me = record.attitude_to_me if record.attitude_to_me_confidence is not None: self.attitude_to_me_confidence = float(record.attitude_to_me_confidence) if record.friendly_value is not None: self.friendly_value = float(record.friendly_value) if record.friendly_value_confidence is not None: self.friendly_value_confidence = float(record.friendly_value_confidence) if record.rudeness is not None: self.rudeness = float(record.rudeness) if record.rudeness_confidence is not None: self.rudeness_confidence = float(record.rudeness_confidence) if record.neuroticism and not isinstance(record.neuroticism, str): self.neuroticism = float(record.neuroticism) if record.neuroticism_confidence is not None: self.neuroticism_confidence = float(record.neuroticism_confidence) if record.conscientiousness is not None: self.conscientiousness = float(record.conscientiousness) if record.conscientiousness_confidence is not None: self.conscientiousness_confidence = float(record.conscientiousness_confidence) if record.likeness is not None: self.likeness = float(record.likeness) if record.likeness_confidence is not None: self.likeness_confidence = float(record.likeness_confidence) logger.debug(f"已从数据库加载用户 {self.person_id} 的信息") else: self.sync_to_database() logger.info(f"用户 {self.person_id} 在数据库中不存在，使用默认值并创建") except Exception as e: logger.error(f"从数据库加载用户 {self.person_id} 信息时出错: {e}") # 出错时保持默认值 def sync_to_database(self): """将所有属性同步回数据库""" if not self.is_known: return try: # 准备数据 data = { 'person_id': self.person_id, 'is_known': self.is_known, 'platform': self.platform, 'user_id': self.user_id, 'nickname': self.nickname, 'person_name': self.person_name, 'name_reason': self.name_reason, 'know_times': self.know_times, 'know_since': self.know_since, 'last_know': self.last_know, 'points': json.dumps(self.points, ensure_ascii=False) if self.points else json.dumps([], ensure_ascii=False), 'attitude_to_me': self.attitude_to_me, 'attitude_to_me_confidence': self.attitude_to_me_confidence, 'friendly_value': self.friendly_value, 'friendly_value_confidence': self.friendly_value_confidence, 'rudeness': self.rudeness, 'rudeness_confidence': self.rudeness_confidence, 'neuroticism': self.neuroticism, 'neuroticism_confidence': self.neuroticism_confidence, 'conscientiousness': self.conscientiousness, 'conscientiousness_confidence': self.conscientiousness_confidence, 'likeness': self.likeness, 'likeness_confidence': self.likeness_confidence, } # 检查记录是否存在 record = PersonInfo.get_or_none(PersonInfo.person_id == self.person_id) if record: # 更新现有记录 for field, value in data.items(): if hasattr(record, field): setattr(record, field, value) record.save() logger.debug(f"已同步用户 {self.person_id} 的信息到数据库") else: # 创建新记录 PersonInfo.create(**data) logger.debug(f"已创建用户 {self.person_id} 的信息到数据库") except Exception as e: logger.error(f"同步用户 {self.person_id} 信息到数据库时出错: {e}") def build_relationship(self,points_num=3): # print(self.person_name,self.nickname,self.platform,self.is_known) if not self.is_known: return "" # 按时间排序forgotten_points current_points = self.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) > 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(points_num): 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]) nickname_str = "" if self.person_name != self.nickname: nickname_str = f"(ta在{self.platform}上的昵称是{self.nickname})" relation_info = "" attitude_info = "" if self.attitude_to_me: if self.attitude_to_me > 8: attitude_info = f"{self.person_name}对你的态度十分好," elif self.attitude_to_me > 5: attitude_info = f"{self.person_name}对你的态度较好," if self.attitude_to_me < -8: attitude_info = f"{self.person_name}对你的态度十分恶劣," elif self.attitude_to_me < -4: attitude_info = f"{self.person_name}对你的态度不好," elif self.attitude_to_me < 0: attitude_info = f"{self.person_name}对你的态度一般," neuroticism_info = "" if self.neuroticism: if self.neuroticism > 8: neuroticism_info = f"{self.person_name}的情绪十分活跃，容易情绪化," elif self.neuroticism > 6: neuroticism_info = f"{self.person_name}的情绪比较活跃," elif self.neuroticism > 4: neuroticism_info = "" elif self.neuroticism > 2: neuroticism_info = f"{self.person_name}的情绪比较稳定," else: neuroticism_info = f"{self.person_name}的情绪非常稳定,毫无波动" points_info = "" if points_text: points_info = f"你还记得ta最近做的事：{points_text}" if not (nickname_str or attitude_info or neuroticism_info or points_info): return "" relation_info = f"{self.person_name}:{nickname_str}{attitude_info}{neuroticism_info}{points_info}" return relation_info class PersonInfoManager: def __init__(self): self.person_name_list = {} self.qv_name_llm = LLMRequest(model_set=model_config.model_task_config.utils, request_type="relation.qv_name") try: db.connect(reuse_if_open=True) # 设置连接池参数 if hasattr(db, "execute_sql"): # 设置SQLite优化参数 db.execute_sql("PRAGMA cache_size = -64000") # 64MB缓存 db.execute_sql("PRAGMA temp_store = memory") # 临时存储在内存中 db.execute_sql("PRAGMA mmap_size = 268435456") # 256MB内存映射 db.create_tables([PersonInfo], safe=True) except Exception as e: logger.error(f"数据库连接或 PersonInfo 表创建失败: {e}") # 初始化时读取所有person_name try: for record in PersonInfo.select(PersonInfo.person_id, PersonInfo.person_name).where( PersonInfo.person_name.is_null(False) ): if record.person_name: self.person_name_list[record.person_id] = record.person_name logger.debug(f"已加载 {len(self.person_name_list)} 个用户名称 (Peewee)") except Exception as e: logger.error(f"从 Peewee 加载 person_name_list 失败: {e}") @staticmethod def _extract_json_from_text(text: str) -> dict: """从文本中提取JSON数据的高容错方法""" try: fixed_json = repair_json(text) if isinstance(fixed_json, str): parsed_json = json.loads(fixed_json) else: parsed_json = fixed_json if isinstance(parsed_json, list) and parsed_json: parsed_json = parsed_json[0] if isinstance(parsed_json, dict): return parsed_json except Exception as e: logger.warning(f"JSON提取失败: {e}") logger.warning(f"无法从文本中提取有效的JSON字典: {text}") logger.info(f"文本: {text}") return {"nickname": "", "reason": ""} async def _generate_unique_person_name(self, base_name: str) -> str: """生成唯一的 person_name，如果存在重复则添加数字后缀""" # 处理空昵称的情况 if not base_name or base_name.isspace(): base_name = "空格" # 检查基础名称是否已存在 if base_name not in self.person_name_list.values(): return base_name # 如果存在，添加数字后缀 counter = 1 while True: new_name = f"{base_name}[{counter}]" if new_name not in self.person_name_list.values(): return new_name counter += 1 async def qv_person_name( self, person_id: str, user_nickname: str, user_cardname: str, user_avatar: str, request: str = "" ): """给某个用户取名""" if not person_id: logger.debug("取名失败：person_id不能为空") return None person = Person(person_id=person_id) old_name = person.person_name old_reason = person.name_reason max_retries = 8 current_try = 0 existing_names_str = "" current_name_set = set(self.person_name_list.values()) while current_try < max_retries: # prompt_personality =get_individuality().get_prompt(x_person=2, level=1) bot_name = global_config.bot.nickname qv_name_prompt = f"你是{bot_name}，一个伪装成人类的AI，你不能让别人发现这一点，" qv_name_prompt += f"现在你想给一个用户取一个昵称，用户的qq昵称是{user_nickname}，" qv_name_prompt += f"用户的qq群昵称名是{user_cardname}，" if user_avatar: qv_name_prompt += f"用户的qq头像是{user_avatar}，" if old_name: qv_name_prompt += f"你之前叫他{old_name}，是因为{old_reason}，" qv_name_prompt += f"\n其他取名的要求是：{request}，不要太浮夸，简短，" qv_name_prompt += "\n请根据以上用户信息，想想你叫他什么比较好，不要太浮夸，请最好使用用户的qq昵称或群昵称原文，可以稍作修改，优先使用原文。优先使用用户的qq昵称或者群昵称原文。" if existing_names_str: qv_name_prompt += f"\n请注意，以下名称已被你尝试过或已知存在，请避免：{existing_names_str}。\n" if len(current_name_set) < 50 and current_name_set: qv_name_prompt += f"已知的其他昵称有: {', '.join(list(current_name_set)[:10])}等。\n" qv_name_prompt += "请用json给出你的想法，并给出理由，示例如下：" qv_name_prompt += """{ "nickname": "昵称", "reason": "理由" }""" response, _ = await self.qv_name_llm.generate_response_async(qv_name_prompt) # logger.info(f"取名提示词：{qv_name_prompt}\n取名回复：{response}") result = self._extract_json_from_text(response) if not result or not result.get("nickname"): logger.error("生成的昵称为空或结果格式不正确，重试中...") current_try += 1 continue generated_nickname = result["nickname"] is_duplicate = False if generated_nickname in current_name_set: is_duplicate = True logger.info(f"尝试给用户{user_nickname} {person_id} 取名，但是 {generated_nickname} 已存在，重试中...") else: def _db_check_name_exists_sync(name_to_check): return PersonInfo.select().where(PersonInfo.person_name == name_to_check).exists() if await asyncio.to_thread(_db_check_name_exists_sync, generated_nickname): is_duplicate = True current_name_set.add(generated_nickname) if not is_duplicate: person.person_name = generated_nickname person.name_reason = result.get("reason", "未提供理由") person.sync_to_database() logger.info( f"成功给用户{user_nickname} {person_id} 取名 {generated_nickname}，理由：{result.get('reason', '未提供理由')}" ) self.person_name_list[person_id] = generated_nickname return result else: if existing_names_str: existing_names_str += "、" existing_names_str += generated_nickname logger.debug(f"生成的昵称 {generated_nickname} 已存在，重试中...") current_try += 1 # 如果多次尝试后仍未成功，使用唯一的 user_nickname 作为默认值 unique_nickname = await self._generate_unique_person_name(user_nickname) logger.warning(f"在{max_retries}次尝试后未能生成唯一昵称，使用默认昵称 {unique_nickname}") person.person_name = unique_nickname person.name_reason = "使用用户原始昵称作为默认值" person.sync_to_database() self.person_name_list[person_id] = unique_nickname return {"nickname": unique_nickname, "reason": "使用用户原始昵称作为默认值"} person_info_manager = PersonInfoManager()