943 lines
41 KiB
Python
943 lines
41 KiB
Python
import copy
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import datetime
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import hashlib
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import time
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from collections.abc import Callable
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from typing import Any
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import orjson
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from json_repair import repair_json
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from src.common.database.api.crud import CRUDBase
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from src.common.database.core.models import PersonInfo
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from src.common.database.utils.decorators import cached
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from src.common.logger import get_logger
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from src.config.config import global_config, model_config
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from src.llm_models.utils_model import LLMRequest
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"""
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PersonInfoManager 类方法功能摘要：
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1. get_person_id - 根据平台和用户ID生成MD5哈希的唯一person_id
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2. create_person_info - 创建新个人信息文档（自动合并默认值）
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3. update_one_field - 更新单个字段值（若文档不存在则创建）
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4. del_one_document - 删除指定person_id的文档
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5. get_value - 获取单个字段值（返回实际值或默认值）
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6. get_values - 批量获取字段值（任一字段无效则返回空字典）
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7. del_all_undefined_field - 清理全集合中未定义的字段
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8. get_specific_value_list - 根据指定条件，返回person_id,value字典
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"""
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logger = get_logger("person_info")
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JSON_SERIALIZED_FIELDS = ["points", "forgotten_points", "info_list"]
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person_info_default = {
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"person_id": None,
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"person_name": None,
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"name_reason": None, # Corrected from person_name_reason to match common usage if intended
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"platform": "unknown",
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"user_id": "unknown",
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"nickname": "Unknown",
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"know_times": 0,
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"know_since": None,
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"last_know": None,
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"impression": None, # Corrected from person_impression
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"short_impression": None,
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"info_list": None,
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"points": None,
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"forgotten_points": None,
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"relation_value": None,
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"attitude": 50,
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}
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class PersonInfoManager:
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def __init__(self):
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"""初始化PersonInfoManager"""
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# 移除self.person_name_list缓存，统一使用数据库缓存系统
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self.qv_name_llm = LLMRequest(model_set=model_config.model_task_config.utils, request_type="relation.qv_name")
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# try:
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# async with get_db_session() as session:
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# db.connect(reuse_if_open=True)
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# # 设置连接池参数（仅对SQLite有效）
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# if hasattr(db, "execute_sql"):
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# # 检查数据库类型，只对SQLite执行PRAGMA语句
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# if global_config.database.database_type == "sqlite":
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# # 设置SQLite优化参数
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# db.execute_sql("PRAGMA cache_size = -64000") # 64MB缓存
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# db.execute_sql("PRAGMA temp_store = memory") # 临时存储在内存中
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# db.execute_sql("PRAGMA mmap_size = 268435456") # 256MB内存映射
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# db.create_tables([PersonInfo], safe=True)
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# except Exception as e:
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# logger.error(f"数据库连接或 PersonInfo 表创建失败: {e}")
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# 移除初始化时读取person_name_list的逻辑，统一使用数据库缓存
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@staticmethod
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def get_person_id(platform: str, user_id: int | str) -> str:
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"""获取唯一id（同步）
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说明: 原来该方法为异步并在内部尝试执行数据库检查/迁移，导致在许多调用处未 await 时返回 coroutine 对象。
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为了避免将 coroutine 传递到其它同步调用（例如数据库查询条件）中，这里将方法改为同步并仅返回基于 platform 和 user_id 的 MD5 哈希值。
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注意: 这会跳过原有的 napcat->qq 迁移检查逻辑。如需保留迁移，请使用显式的、在合适时机执行的迁移任务。
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"""
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# 检查platform是否为None或空
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if platform is None:
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platform = "unknown"
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if "-" in platform:
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platform = platform.split("-")[1]
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components = [platform, str(user_id)]
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key = "_".join(components)
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# 直接返回计算的 id（同步）
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return hashlib.md5(key.encode()).hexdigest()
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@cached(ttl=300, key_prefix="person_known", use_kwargs=False)
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async def is_person_known(self, platform: str, user_id: int):
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"""判断是否认识某人（带5分钟缓存）"""
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person_id = self.get_person_id(platform, user_id)
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try:
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# 使用CRUD进行查询
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crud = CRUDBase(PersonInfo)
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record = await crud.get_by(person_id=person_id)
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return record is not None
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except Exception as e:
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logger.error(f"检查用户 {person_id} 是否已知时出错: {e}")
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return False
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@staticmethod
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@cached(ttl=600, key_prefix="person_name_to_id", use_kwargs=False)
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async def get_person_id_by_person_name(person_name: str) -> str:
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"""
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根据用户名获取用户ID（异步）
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统一使用数据库缓存系统，移除内存缓存
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"""
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if not person_name:
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return ""
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try:
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# 使用CRUD接口查询，使用装饰器缓存
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crud = CRUDBase(PersonInfo)
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records = await crud.get_multi(person_name=person_name, limit=1)
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if records:
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return records[0].person_id
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# 数据库中没有找到
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return ""
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except Exception as e:
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logger.error(f"根据用户名 {person_name} 获取用户ID时出错: {e}")
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return ""
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@staticmethod
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@cached(ttl=600, key_prefix="person_info_by_user_id", use_kwargs=False)
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async def get_person_info_by_user_id(platform: str, user_id: str) -> dict | None:
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"""[新] 根据 platform 和 user_id 获取用户信息字典"""
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if not platform or not user_id:
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return None
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person_id = PersonInfoManager.get_person_id(platform, user_id)
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crud = CRUDBase(PersonInfo)
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record = await crud.get_by(person_id=person_id)
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if not record:
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return None
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# 将 SQLAlchemy 模型对象转换为字典
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return {c.name: getattr(record, c.name) for c in record.__table__.columns}
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@staticmethod
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@cached(ttl=600, key_prefix="person_info_by_person_id", use_kwargs=False)
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async def get_person_info_by_person_id(person_id: str) -> dict | None:
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"""[新] 根据 person_id 获取用户信息字典"""
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if not person_id:
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return None
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crud = CRUDBase(PersonInfo)
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record = await crud.get_by(person_id=person_id)
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if not record:
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return None
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# 将 SQLAlchemy 模型对象转换为字典
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return {c.name: getattr(record, c.name) for c in record.__table__.columns}
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@staticmethod
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async def get_person_id_by_name_robust(name: str) -> str | None:
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"""[新] 稳健地根据名称获取 person_id，按 person_name -> nickname 顺序回退"""
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if not name:
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return None
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crud = CRUDBase(PersonInfo)
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# 1. 按 person_name 查询
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records = await crud.get_multi(person_name=name, limit=1)
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if records:
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return records[0].person_id
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# 2. 按 nickname 查询
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records = await crud.get_multi(nickname=name, limit=1)
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if records:
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return records[0].person_id
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return None
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@staticmethod
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@staticmethod
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@cached(ttl=600, key_prefix="person_info_by_name_robust", use_kwargs=False)
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async def get_person_info_by_name_robust(name: str) -> dict | None:
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"""[新] 稳健地根据名称获取用户信息，按 person_name -> nickname 顺序回退"""
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person_id = await PersonInfoManager.get_person_id_by_name_robust(name)
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if person_id:
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return await PersonInfoManager.get_person_info_by_person_id(person_id)
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return None
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@staticmethod
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async def sync_user_info(platform: str, user_id: str, nickname: str | None, cardname: str | None) -> str:
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"""
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[新] 同步用户信息。查询或创建用户，并更新易变信息（如昵称）。
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返回 person_id。
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"""
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if not platform or not user_id:
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raise ValueError("platform 和 user_id 不能为空")
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person_id = PersonInfoManager.get_person_id(platform, user_id)
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crud = CRUDBase(PersonInfo)
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record = await crud.get_by(person_id=person_id)
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effective_name = cardname or nickname or "未知用户"
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if record:
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# 用户已存在，检查是否需要更新
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updates = {}
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if nickname and record.nickname != nickname:
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updates["nickname"] = nickname
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if updates:
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await crud.update(record.id, updates)
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logger.debug(f"用户 {person_id} 信息已更新: {updates}")
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else:
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# 用户不存在，创建新用户
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logger.info(f"新用户 {platform}:{user_id}，将创建记录。")
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unique_person_name = await PersonInfoManager._generate_unique_person_name(effective_name)
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new_person_data = {
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"person_id": person_id,
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"platform": platform,
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"user_id": str(user_id),
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"nickname": nickname,
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"person_name": unique_person_name,
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"name_reason": "首次遇见时自动设置",
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"know_since": int(time.time()),
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"last_know": int(time.time()),
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}
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await PersonInfoManager._safe_create_person_info(person_id, new_person_data)
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return person_id
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@staticmethod
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async def first_knowing_some_one(platform: str, user_id: str, user_nickname: str, user_cardname: str):
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"""判断是否认识某人"""
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person_id = PersonInfoManager.get_person_id(platform, user_id)
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# 生成唯一的 person_name
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unique_nickname = await PersonInfoManager._generate_unique_person_name(user_nickname)
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data = {
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"platform": platform,
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"user_id": user_id,
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"nickname": user_nickname,
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"konw_time": int(time.time()),
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"person_name": unique_nickname, # 使用唯一的 person_name
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}
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# 先创建用户基本信息，使用安全创建方法避免竞态条件
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await PersonInfoManager._safe_create_person_info(person_id=person_id, data=data)
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# 更新昵称
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await get_person_info_manager().update_one_field(
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person_id=person_id, field_name="nickname", value=user_nickname, data=data
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)
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@staticmethod
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async def create_person_info(person_id: str, data: dict | None = None):
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"""创建一个项"""
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if not person_id:
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logger.debug("创建失败，person_id不存在")
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return
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_person_info_default = copy.deepcopy(person_info_default)
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# 获取 SQLAlchemy 模型的所有字段名
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model_fields = [column.name for column in PersonInfo.__table__.columns]
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final_data = {"person_id": person_id}
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# Start with defaults for all model fields
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for key, default_value in _person_info_default.items():
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if key in model_fields:
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final_data[key] = default_value
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# Override with provided data
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if data:
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for key, value in data.items():
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if key in model_fields:
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final_data[key] = value
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# Ensure person_id is correctly set from the argument
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final_data["person_id"] = person_id
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# 你们的英文注释是何意味？
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||
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# 检查并修复关键字段为None的情况喵
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if final_data.get("user_id") is None:
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logger.warning(f"user_id为None，使用'unknown'作为默认值 person_id={person_id}")
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final_data["user_id"] = "unknown"
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if final_data.get("platform") is None:
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logger.warning(f"platform为None，使用'unknown'作为默认值 person_id={person_id}")
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final_data["platform"] = "unknown"
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|
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# 这里的目的是为了防止在识别出错的情况下有一个最小回退，不只是针对@消息识别成视频后的报错问题
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# Serialize JSON fields
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for key in JSON_SERIALIZED_FIELDS:
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if key in final_data:
|
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if isinstance(final_data[key], list | dict):
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final_data[key] = orjson.dumps(final_data[key]).decode("utf-8")
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elif final_data[key] is None: # Default for lists is [], store as "[]"
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final_data[key] = orjson.dumps([]).decode("utf-8")
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# If it's already a string, assume it's valid JSON or a non-JSON string field
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|
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# 使用CRUD接口创建记录
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try:
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crud = CRUDBase(PersonInfo)
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await crud.create(final_data)
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except Exception as e:
|
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logger.error(f"创建 PersonInfo 记录 {final_data.get('person_id')} 失败 (SQLAlchemy): {e}")
|
||
|
||
@staticmethod
|
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async def _safe_create_person_info(person_id: str, data: dict | None = None):
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"""安全地创建用户信息，处理竞态条件"""
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if not person_id:
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logger.debug("创建失败，person_id不存在")
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return
|
||
|
||
_person_info_default = copy.deepcopy(person_info_default)
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# 获取 SQLAlchemy 模型的所有字段名
|
||
model_fields = [column.name for column in PersonInfo.__table__.columns]
|
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|
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final_data = {"person_id": person_id}
|
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|
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# Start with defaults for all model fields
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for key, default_value in _person_info_default.items():
|
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if key in model_fields:
|
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final_data[key] = default_value
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||
|
||
# Override with provided data
|
||
if data:
|
||
for key, value in data.items():
|
||
if key in model_fields:
|
||
final_data[key] = value
|
||
|
||
# Ensure person_id is correctly set from the argument
|
||
final_data["person_id"] = person_id
|
||
|
||
# 检查并修复关键字段为None的情况
|
||
if final_data.get("user_id") is None:
|
||
logger.warning(f"user_id为None，使用'unknown'作为默认值 person_id={person_id}")
|
||
final_data["user_id"] = "unknown"
|
||
|
||
if final_data.get("platform") is None:
|
||
logger.warning(f"platform为None，使用'unknown'作为默认值 person_id={person_id}")
|
||
final_data["platform"] = "unknown"
|
||
|
||
# Serialize JSON fields
|
||
for key in JSON_SERIALIZED_FIELDS:
|
||
if key in final_data:
|
||
if isinstance(final_data[key], list | dict):
|
||
final_data[key] = orjson.dumps(final_data[key]).decode("utf-8")
|
||
elif final_data[key] is None: # Default for lists is [], store as "[]"
|
||
final_data[key] = orjson.dumps([]).decode("utf-8")
|
||
|
||
async def _db_safe_create_async(p_data: dict):
|
||
try:
|
||
# 使用CRUD进行检查和创建
|
||
crud = CRUDBase(PersonInfo)
|
||
existing = await crud.get_by(person_id=p_data["person_id"])
|
||
if existing:
|
||
logger.debug(f"用户 {p_data['person_id']} 已存在，跳过创建")
|
||
return True
|
||
|
||
# 创建新记录
|
||
await crud.create(p_data)
|
||
return True
|
||
except Exception as e:
|
||
if "UNIQUE constraint failed" in str(e):
|
||
logger.debug(f"检测到并发创建用户 {p_data.get('person_id')}，跳过错误")
|
||
return True
|
||
else:
|
||
logger.error(f"创建 PersonInfo 记录 {p_data.get('person_id')} 失败: {e}")
|
||
return False
|
||
|
||
await _db_safe_create_async(final_data)
|
||
|
||
async def update_one_field(self, person_id: str, field_name: str, value, data: dict | None = None):
|
||
"""更新某一个字段，会补全"""
|
||
# 获取 SQLAlchemy 模型的所有字段名
|
||
model_fields = [column.name for column in PersonInfo.__table__.columns]
|
||
if field_name not in model_fields:
|
||
logger.debug(f"更新'{field_name}'失败，未在 PersonInfo SQLAlchemy 模型中定义的字段。")
|
||
return
|
||
|
||
processed_value = value
|
||
if field_name in JSON_SERIALIZED_FIELDS:
|
||
if isinstance(value, list | dict):
|
||
processed_value = orjson.dumps(value).decode("utf-8")
|
||
elif value is None: # Store None as "[]" for JSON list fields
|
||
processed_value = orjson.dumps([]).decode("utf-8")
|
||
|
||
async def _db_update_async(p_id: str, f_name: str, val_to_set):
|
||
start_time = time.time()
|
||
try:
|
||
# 使用CRUD进行更新
|
||
crud = CRUDBase(PersonInfo)
|
||
record = await crud.get_by(person_id=p_id)
|
||
query_time = time.time()
|
||
|
||
if record:
|
||
# 更新记录
|
||
await crud.update(record.id, {f_name: val_to_set})
|
||
save_time = time.time()
|
||
total_time = save_time - start_time
|
||
|
||
if total_time > 0.5:
|
||
logger.warning(
|
||
f"数据库更新操作耗时 {total_time:.3f}秒 (查询: {query_time - start_time:.3f}s, 保存: {save_time - query_time:.3f}s) person_id={p_id}, field={f_name}"
|
||
)
|
||
|
||
# 使缓存失效
|
||
from src.common.database.optimization.cache_manager import get_cache
|
||
from src.common.database.utils.decorators import generate_cache_key
|
||
cache = await get_cache()
|
||
# 使相关缓存失效
|
||
await cache.delete(generate_cache_key("person_value", p_id, f_name))
|
||
await cache.delete(generate_cache_key("person_values", p_id))
|
||
await cache.delete(generate_cache_key("person_has_field", p_id, f_name))
|
||
|
||
return True, False
|
||
else:
|
||
total_time = time.time() - start_time
|
||
if total_time > 0.5:
|
||
logger.warning(f"数据库查询操作耗时 {total_time:.3f}秒 person_id={p_id}, field={f_name}")
|
||
return False, True
|
||
except Exception as e:
|
||
total_time = time.time() - start_time
|
||
logger.error(f"数据库操作异常，耗时 {total_time:.3f}秒: {e}")
|
||
raise
|
||
|
||
_found, needs_creation = await _db_update_async(person_id, field_name, processed_value)
|
||
|
||
if needs_creation:
|
||
logger.info(f"{person_id} 不存在，将新建。")
|
||
creation_data = data if data is not None else {}
|
||
# Ensure platform and user_id are present for context if available from 'data'
|
||
# but primarily, set the field that triggered the update.
|
||
# The create_person_info will handle defaults and serialization.
|
||
creation_data[field_name] = value # Pass original value to create_person_info
|
||
|
||
# Ensure platform and user_id are in creation_data if available,
|
||
# otherwise create_person_info will use defaults.
|
||
if data and "platform" in data:
|
||
creation_data["platform"] = data["platform"]
|
||
if data and "user_id" in data:
|
||
creation_data["user_id"] = data["user_id"]
|
||
|
||
# 额外检查关键字段，如果为None则使用默认值
|
||
if creation_data.get("user_id") is None:
|
||
logger.warning(f"创建用户时user_id为None，使用'unknown'作为默认值 person_id={person_id}")
|
||
creation_data["user_id"] = "unknown"
|
||
|
||
if creation_data.get("platform") is None:
|
||
logger.warning(f"创建用户时platform为None，使用'unknown'作为默认值 person_id={person_id}")
|
||
creation_data["platform"] = "unknown"
|
||
|
||
# 使用安全的创建方法，处理竞态条件
|
||
await self._safe_create_person_info(person_id, creation_data)
|
||
|
||
@staticmethod
|
||
@cached(ttl=300, key_prefix="person_has_field")
|
||
async def has_one_field(person_id: str, field_name: str):
|
||
"""判断是否存在某一个字段（带5分钟缓存）"""
|
||
# 获取 SQLAlchemy 模型的所有字段名
|
||
model_fields = [column.name for column in PersonInfo.__table__.columns]
|
||
if field_name not in model_fields:
|
||
logger.debug(f"检查字段'{field_name}'失败，未在 PersonInfo SQLAlchemy 模型中定义。")
|
||
return False
|
||
|
||
try:
|
||
# 使用CRUD进行查询
|
||
crud = CRUDBase(PersonInfo)
|
||
record = await crud.get_by(person_id=person_id)
|
||
return bool(record)
|
||
except Exception as e:
|
||
logger.error(f"检查字段 {field_name} for {person_id} 时出错: {e}")
|
||
return False
|
||
|
||
@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 = orjson.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": ""}
|
||
|
||
@staticmethod
|
||
async def _generate_unique_person_name(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"
|
||
|
||
try:
|
||
# 使用CRUD接口检查基础名称是否已存在于数据库中
|
||
crud = CRUDBase(PersonInfo)
|
||
existing_record = await crud.get_by(person_name=base_name)
|
||
if not existing_record:
|
||
return base_name
|
||
|
||
# 如果存在，添加数字后缀并检查
|
||
counter = 1
|
||
while True:
|
||
new_name = f"{base_name}[{counter}]"
|
||
existing_new_record = await crud.get_by(person_name=new_name)
|
||
if not existing_new_record:
|
||
return new_name
|
||
counter += 1
|
||
except Exception as e:
|
||
logger.error(f"生成唯一person_name时出错: {e}")
|
||
# 出错时返回带时间戳的唯一名称
|
||
import time
|
||
return f"{base_name}_{int(time.time())}"
|
||
|
||
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
|
||
|
||
old_name = await self.get_value(person_id, "person_name")
|
||
old_reason = await self.get_value(person_id, "name_reason")
|
||
|
||
max_retries = 8
|
||
current_try = 0
|
||
existing_names_str = ""
|
||
# 获取数据库中已存在的名称用于重复检查
|
||
try:
|
||
# 使用CRUD接口获取所有已存在的名称
|
||
crud = CRUDBase(PersonInfo)
|
||
all_records = await crud.get_multi(limit=1000) # 限制数量避免性能问题
|
||
current_name_set = {record.person_name for record in all_records if record.person_name}
|
||
except Exception as e:
|
||
logger.warning(f"获取现有名称列表失败: {e}")
|
||
current_name_set = set()
|
||
|
||
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:
|
||
|
||
async def _db_check_name_exists_async(name_to_check):
|
||
# 使用CRUD接口检查名称是否存在
|
||
crud = CRUDBase(PersonInfo)
|
||
existing_record = await crud.get_by(person_name=name_to_check)
|
||
return existing_record is not None
|
||
|
||
if await _db_check_name_exists_async(generated_nickname):
|
||
is_duplicate = True
|
||
current_name_set.add(generated_nickname)
|
||
|
||
if not is_duplicate:
|
||
await self.update_one_field(person_id, "person_name", generated_nickname)
|
||
await self.update_one_field(person_id, "name_reason", result.get("reason", "未提供理由"))
|
||
|
||
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')}"
|
||
)
|
||
|
||
# 移除内存缓存更新，统一使用数据库缓存
|
||
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 PersonInfoManager._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}")
|
||
await self.update_one_field(person_id, "person_name", unique_nickname)
|
||
await self.update_one_field(person_id, "name_reason", "使用用户原始昵称作为默认值")
|
||
# 移除内存缓存更新，统一使用数据库缓存
|
||
return {"nickname": unique_nickname, "reason": "使用用户原始昵称作为默认值"}
|
||
|
||
@staticmethod
|
||
async def del_one_document(person_id: str):
|
||
"""删除指定 person_id 的文档"""
|
||
if not person_id:
|
||
logger.debug("删除失败：person_id 不能为空")
|
||
return
|
||
|
||
async def _db_delete_async(p_id: str):
|
||
try:
|
||
# 使用CRUD进行删除
|
||
crud = CRUDBase(PersonInfo)
|
||
record = await crud.get_by(person_id=p_id)
|
||
if record:
|
||
await crud.delete(record.id)
|
||
|
||
# 注意: 删除操作很少发生,缓存会在TTL过期后自动清除
|
||
# 无法从person_id反向得到platform和user_id,因此无法精确清除缓存
|
||
# 删除后的查询仍会返回正确结果(None/False)
|
||
return 1
|
||
return 0
|
||
except Exception as e:
|
||
logger.error(f"删除 PersonInfo {p_id} 失败: {e}")
|
||
return 0
|
||
|
||
deleted_count = await _db_delete_async(person_id)
|
||
|
||
if deleted_count > 0:
|
||
logger.debug(f"删除成功：person_id={person_id}")
|
||
else:
|
||
logger.debug(f"删除失败：未找到 person_id={person_id} 或删除未影响行")
|
||
|
||
@staticmethod
|
||
@cached(ttl=600, key_prefix="person_value")
|
||
async def get_value(person_id: str, field_name: str) -> Any:
|
||
"""获取单个字段值（带10分钟缓存）"""
|
||
if not person_id:
|
||
logger.debug("get_value获取失败：person_id不能为空")
|
||
return None
|
||
|
||
model_fields = [column.name for column in PersonInfo.__table__.columns]
|
||
|
||
if field_name not in model_fields:
|
||
if field_name in person_info_default:
|
||
logger.debug(f"字段'{field_name}'不在SQLAlchemy模型中，使用默认配置值。")
|
||
return copy.deepcopy(person_info_default[field_name])
|
||
else:
|
||
logger.debug(f"get_value查询失败：字段'{field_name}'未在SQLAlchemy模型和默认配置中定义。")
|
||
return None
|
||
|
||
# 使用CRUD进行查询
|
||
crud = CRUDBase(PersonInfo)
|
||
record = await crud.get_by(person_id=person_id)
|
||
|
||
if record:
|
||
# 在访问属性前确保对象已加载所有数据
|
||
# 使用 try-except 捕获可能的延迟加载错误
|
||
try:
|
||
value = getattr(record, field_name)
|
||
if value is not None:
|
||
# 对 JSON 序列化字段进行反序列化
|
||
if field_name in JSON_SERIALIZED_FIELDS:
|
||
try:
|
||
# 确保 value 是字符串类型
|
||
if isinstance(value, str):
|
||
return orjson.loads(value)
|
||
else:
|
||
# 如果不是字符串,可能已经是解析后的数据,直接返回
|
||
return value
|
||
except Exception as e:
|
||
logger.warning(f"反序列化字段 {field_name} 失败: {e}, value={value}, 使用默认值")
|
||
return copy.deepcopy(person_info_default.get(field_name))
|
||
return value
|
||
else:
|
||
return copy.deepcopy(person_info_default.get(field_name))
|
||
except Exception as e:
|
||
logger.warning(f"访问字段 {field_name} 失败: {e}, 使用默认值")
|
||
return copy.deepcopy(person_info_default.get(field_name))
|
||
else:
|
||
return copy.deepcopy(person_info_default.get(field_name))
|
||
|
||
@staticmethod
|
||
@cached(ttl=600, key_prefix="person_values")
|
||
async def get_values(person_id: str, field_names: list) -> dict:
|
||
"""获取指定person_id文档的多个字段值（带10分钟缓存）"""
|
||
if not person_id:
|
||
logger.debug("get_values获取失败：person_id不能为空")
|
||
return {}
|
||
|
||
result = {}
|
||
|
||
# 使用CRUD进行查询
|
||
crud = CRUDBase(PersonInfo)
|
||
record = await crud.get_by(person_id=person_id)
|
||
|
||
# 获取 SQLAlchemy 模型的所有字段名
|
||
model_fields = [column.name for column in PersonInfo.__table__.columns]
|
||
|
||
for field_name in field_names:
|
||
if field_name not in model_fields:
|
||
if field_name in person_info_default:
|
||
result[field_name] = copy.deepcopy(person_info_default[field_name])
|
||
logger.debug(f"字段'{field_name}'不在SQLAlchemy模型中，使用默认配置值。")
|
||
else:
|
||
logger.debug(f"get_values查询失败：字段'{field_name}'未在SQLAlchemy模型和默认配置中定义。")
|
||
result[field_name] = None
|
||
continue
|
||
|
||
if record:
|
||
try:
|
||
value = getattr(record, field_name)
|
||
if value is not None:
|
||
# 对 JSON 序列化字段进行反序列化
|
||
if field_name in JSON_SERIALIZED_FIELDS:
|
||
try:
|
||
# 确保 value 是字符串类型
|
||
if isinstance(value, str):
|
||
result[field_name] = orjson.loads(value)
|
||
else:
|
||
# 如果不是字符串,可能已经是解析后的数据,直接使用
|
||
result[field_name] = value
|
||
except Exception as e:
|
||
logger.warning(f"反序列化字段 {field_name} 失败: {e}, value={value}, 使用默认值")
|
||
result[field_name] = copy.deepcopy(person_info_default.get(field_name))
|
||
else:
|
||
result[field_name] = value
|
||
else:
|
||
result[field_name] = copy.deepcopy(person_info_default.get(field_name))
|
||
except Exception as e:
|
||
logger.warning(f"访问字段 {field_name} 失败: {e}, 使用默认值")
|
||
result[field_name] = copy.deepcopy(person_info_default.get(field_name))
|
||
else:
|
||
result[field_name] = copy.deepcopy(person_info_default.get(field_name))
|
||
|
||
return result
|
||
|
||
@staticmethod
|
||
@cached(ttl=300, key_prefix="person_specific_list", use_kwargs=False)
|
||
async def get_specific_value_list(
|
||
field_name: str,
|
||
way: Callable[[Any], bool],
|
||
) -> dict[str, Any]:
|
||
"""
|
||
获取满足条件的字段值字典
|
||
"""
|
||
# 获取 SQLAlchemy 模型的所有字段名
|
||
model_fields = [column.name for column in PersonInfo.__table__.columns]
|
||
if field_name not in model_fields:
|
||
logger.error(f"字段检查失败：'{field_name}'未在 PersonInfo SQLAlchemy 模型中定义")
|
||
return {}
|
||
|
||
async def _db_get_specific_async(f_name: str):
|
||
found_results = {}
|
||
try:
|
||
# 使用CRUD获取所有记录
|
||
crud = CRUDBase(PersonInfo)
|
||
all_records = await crud.get_multi(limit=100000) # 获取所有记录
|
||
for record in all_records:
|
||
try:
|
||
value = getattr(record, f_name, None)
|
||
if value is not None and way(value):
|
||
person_id_value = getattr(record, "person_id", None)
|
||
if person_id_value:
|
||
found_results[person_id_value] = value
|
||
except Exception as e:
|
||
logger.warning(f"访问记录字段失败: {e}")
|
||
continue
|
||
except Exception as e_query:
|
||
logger.error(
|
||
f"数据库查询失败 (specific_value_list for {f_name}): {e_query!s}"
|
||
)
|
||
return found_results
|
||
|
||
try:
|
||
return await _db_get_specific_async(field_name)
|
||
except Exception as e:
|
||
logger.error(f"执行 get_specific_value_list 时出错: {e!s}")
|
||
return {}
|
||
|
||
async def get_or_create_person(
|
||
self, platform: str, user_id: int, nickname: str, user_cardname: str, user_avatar: str | None = None
|
||
) -> str:
|
||
"""
|
||
根据 platform 和 user_id 获取 person_id。
|
||
如果对应的用户不存在，则使用提供的可选信息创建新用户。
|
||
使用try-except处理竞态条件，避免重复创建错误。
|
||
"""
|
||
person_id = self.get_person_id(platform, user_id)
|
||
|
||
async def _db_get_or_create_async(p_id: str, init_data: dict):
|
||
"""原子性的获取或创建操作"""
|
||
# 使用CRUD进行获取或创建
|
||
crud = CRUDBase(PersonInfo)
|
||
|
||
# 首先尝试获取现有记录
|
||
record = await crud.get_by(person_id=p_id)
|
||
if record:
|
||
return record, False # 记录存在，未创建
|
||
|
||
# 记录不存在，尝试创建
|
||
try:
|
||
new_person = await crud.create(init_data)
|
||
return new_person, True # 创建成功
|
||
except Exception as e:
|
||
# 如果创建失败（可能是因为竞态条件），再次尝试获取
|
||
if "UNIQUE constraint failed" in str(e):
|
||
logger.debug(f"检测到并发创建用户 {p_id}，获取现有记录")
|
||
record = await crud.get_by(person_id=p_id)
|
||
if record:
|
||
return record, False # 其他协程已创建，返回现有记录
|
||
# 如果仍然失败，重新抛出异常
|
||
raise e
|
||
|
||
unique_nickname = await PersonInfoManager._generate_unique_person_name(nickname)
|
||
initial_data = {
|
||
"person_id": person_id,
|
||
"platform": platform,
|
||
"user_id": str(user_id),
|
||
"nickname": nickname,
|
||
"person_name": unique_nickname,
|
||
"name_reason": "从群昵称获取",
|
||
"know_times": 0,
|
||
"know_since": int(datetime.datetime.now().timestamp()),
|
||
"last_know": int(datetime.datetime.now().timestamp()),
|
||
"impression": None,
|
||
"points": [],
|
||
"forgotten_points": [],
|
||
}
|
||
|
||
for key in JSON_SERIALIZED_FIELDS:
|
||
if key in initial_data:
|
||
if isinstance(initial_data[key], list | dict):
|
||
initial_data[key] = orjson.dumps(initial_data[key]).decode("utf-8")
|
||
elif initial_data[key] is None:
|
||
initial_data[key] = orjson.dumps([]).decode("utf-8")
|
||
|
||
model_fields = [column.name for column in PersonInfo.__table__.columns]
|
||
filtered_initial_data = {k: v for k, v in initial_data.items() if v is not None and k in model_fields}
|
||
|
||
_record, was_created = await _db_get_or_create_async(person_id, filtered_initial_data)
|
||
|
||
if was_created:
|
||
logger.info(f"用户 {platform}:{user_id} (person_id: {person_id}) 不存在，将创建新记录。")
|
||
logger.info(f"已为 {person_id} 创建新记录，初始数据: {filtered_initial_data}")
|
||
else:
|
||
logger.debug(f"用户 {platform}:{user_id} (person_id: {person_id}) 已存在，返回现有记录。")
|
||
|
||
return person_id
|
||
|
||
@staticmethod
|
||
@cached(ttl=600, key_prefix="person_info_by_name", use_kwargs=False)
|
||
async def get_person_info_by_name(person_name: str) -> dict | None:
|
||
"""根据 person_name 查找用户并返回基本信息 (如果找到)"""
|
||
if not person_name:
|
||
logger.debug("get_person_info_by_name 获取失败：person_name 不能为空")
|
||
return None
|
||
|
||
# 直接查询数据库，移除内存缓存逻辑
|
||
# 使用CRUD进行查询 (person_name不是唯一字段,可能返回多条)
|
||
crud = CRUDBase(PersonInfo)
|
||
records = await crud.get_multi(person_name=person_name, limit=1)
|
||
if records:
|
||
record = records[0]
|
||
found_person_id = record.person_id
|
||
else:
|
||
logger.debug(f"数据库中未找到名为 '{person_name}' 的用户")
|
||
return None
|
||
|
||
if found_person_id:
|
||
required_fields = [
|
||
"person_id",
|
||
"platform",
|
||
"user_id",
|
||
"nickname",
|
||
"user_cardname",
|
||
"user_avatar",
|
||
"person_name",
|
||
"name_reason",
|
||
]
|
||
# 获取 SQLAlchemy 模型的所有字段名
|
||
model_fields = [column.name for column in PersonInfo.__table__.columns]
|
||
valid_fields_to_get = [f for f in required_fields if f in model_fields or f in person_info_default]
|
||
|
||
person_data = await PersonInfoManager.get_values(found_person_id, valid_fields_to_get)
|
||
|
||
if person_data:
|
||
final_result = {key: person_data.get(key) for key in required_fields}
|
||
return final_result
|
||
else:
|
||
logger.warning(f"找到了 person_id '{found_person_id}' 但 get_values 返回空 (Peewee)")
|
||
return None
|
||
|
||
logger.error(f"逻辑错误：未能为 '{person_name}' 确定 person_id (Peewee)")
|
||
return None
|
||
|
||
|
||
person_info_manager = None
|
||
|
||
|
||
def get_person_info_manager():
|
||
global person_info_manager
|
||
if person_info_manager is None:
|
||
person_info_manager = PersonInfoManager()
|
||
return person_info_manager
|