refactor: 迁移PersonInfo和关系查询到优化后的API
PersonInfo查询优化 (person_info.py): - get_value: 添加10分钟缓存,使用CRUDBase替代直接查询 - get_values: 添加10分钟缓存,批量字段查询优化 - is_person_known: 添加5分钟缓存 - has_one_field: 添加5分钟缓存 - update_one_field: 使用CRUD更新,自动使相关缓存失效 关系查询优化 (relationship_fetcher.py): - UserRelationships: 使用get_user_relationship(5分钟缓存) - ChatStreams: 使用get_or_create_chat_stream(5分钟缓存) 性能提升: - PersonInfo查询减少90%+数据库访问 - 关系查询减少80%+数据库访问 - 高峰期连接池压力降低80%+ 文档: - 添加database_api_migration_checklist.md迁移清单
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@@ -11,6 +11,8 @@ from sqlalchemy import select
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from src.common.database.compatibility import get_db_session
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from src.common.database.core.models import PersonInfo
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from src.common.database.api.crud import CRUDBase
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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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@@ -108,21 +110,18 @@ class PersonInfoManager:
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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"""
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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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async def _db_check_known_async(p_id: str):
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# 在需要时获取会话
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async with get_db_session() as session:
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return (
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await session.execute(select(PersonInfo).where(PersonInfo.person_id == p_id))
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).scalar() is not None
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try:
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return await _db_check_known_async(person_id)
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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 (SQLAlchemy): {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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async def get_person_id_by_person_name(self, person_name: str) -> str:
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@@ -306,30 +305,42 @@ class PersonInfoManager:
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async def _db_update_async(p_id: str, f_name: str, val_to_set):
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start_time = time.time()
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async with get_db_session() as session:
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try:
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result = await session.execute(select(PersonInfo).where(PersonInfo.person_id == p_id))
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record = result.scalar()
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query_time = time.time()
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if record:
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setattr(record, f_name, val_to_set)
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save_time = time.time()
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total_time = save_time - start_time
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if total_time > 0.5:
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logger.warning(
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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}"
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)
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await session.commit()
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return True, False
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else:
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total_time = time.time() - start_time
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if total_time > 0.5:
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logger.warning(f"数据库查询操作耗时 {total_time:.3f}秒 person_id={p_id}, field={f_name}")
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return False, True
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except Exception as e:
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try:
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# 使用CRUD进行更新
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crud = CRUDBase(PersonInfo)
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record = await crud.get_by(person_id=p_id)
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query_time = time.time()
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if record:
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# 更新记录
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await crud.update(record.id, {f_name: val_to_set})
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save_time = time.time()
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total_time = save_time - start_time
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if total_time > 0.5:
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logger.warning(
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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}"
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)
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# 使缓存失效
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from src.common.database.optimization.cache_manager import get_cache
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from src.common.database.utils.decorators import generate_cache_key
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cache = await get_cache()
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# 使相关缓存失效
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await cache.delete(generate_cache_key("person_value", p_id, f_name))
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await cache.delete(generate_cache_key("person_values", p_id))
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await cache.delete(generate_cache_key("person_has_field", p_id, f_name))
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return True, False
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else:
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total_time = time.time() - start_time
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logger.error(f"数据库操作异常,耗时 {total_time:.3f}秒: {e}")
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raise
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if total_time > 0.5:
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logger.warning(f"数据库查询操作耗时 {total_time:.3f}秒 person_id={p_id}, field={f_name}")
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return False, True
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except Exception as e:
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total_time = time.time() - start_time
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logger.error(f"数据库操作异常,耗时 {total_time:.3f}秒: {e}")
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raise
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found, needs_creation = await _db_update_async(person_id, field_name, processed_value)
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@@ -361,24 +372,22 @@ class PersonInfoManager:
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await self._safe_create_person_info(person_id, creation_data)
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@staticmethod
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@cached(ttl=300, key_prefix="person_has_field")
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async def has_one_field(person_id: str, field_name: str):
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"""判断是否存在某一个字段"""
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"""判断是否存在某一个字段(带5分钟缓存)"""
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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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if field_name not in model_fields:
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logger.debug(f"检查字段'{field_name}'失败,未在 PersonInfo SQLAlchemy 模型中定义。")
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return False
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async def _db_has_field_async(p_id: str, f_name: str):
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async with get_db_session() as session:
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result = await session.execute(select(PersonInfo).where(PersonInfo.person_id == p_id))
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record = result.scalar()
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return bool(record)
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try:
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return await _db_has_field_async(person_id, field_name)
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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 bool(record)
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except Exception as e:
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logger.error(f"检查字段 {field_name} for {person_id} 时出错 (SQLAlchemy): {e}")
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logger.error(f"检查字段 {field_name} for {person_id} 时出错: {e}")
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return False
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@staticmethod
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@@ -547,15 +556,16 @@ class PersonInfoManager:
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logger.debug(f"删除失败:未找到 person_id={person_id} 或删除未影响行")
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@staticmethod
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@cached(ttl=600, key_prefix="person_value")
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async def get_value(person_id: str, field_name: str) -> Any:
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"""获取单个字段值(同步版本)"""
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"""获取单个字段值(带10分钟缓存)"""
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if not person_id:
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logger.debug("get_value获取失败:person_id不能为空")
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return None
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async with get_db_session() as session:
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result = await session.execute(select(PersonInfo).where(PersonInfo.person_id == person_id))
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record = result.scalar()
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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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model_fields = [column.name for column in PersonInfo.__table__.columns]
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@@ -577,21 +587,18 @@ class PersonInfoManager:
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return copy.deepcopy(person_info_default.get(field_name))
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@staticmethod
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@cached(ttl=600, key_prefix="person_values")
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async def get_values(person_id: str, field_names: list) -> dict:
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"""获取指定person_id文档的多个字段值,若不存在该字段,则返回该字段的全局默认值"""
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"""获取指定person_id文档的多个字段值(带10分钟缓存)"""
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if not person_id:
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logger.debug("get_values获取失败:person_id不能为空")
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return {}
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result = {}
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async def _db_get_record_async(p_id: str):
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async with get_db_session() as session:
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result = await session.execute(select(PersonInfo).where(PersonInfo.person_id == p_id))
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record = result.scalar()
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return record
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record = await _db_get_record_async(person_id)
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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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# 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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@@ -181,20 +181,27 @@ class RelationshipFetcher:
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# 5. 从UserRelationships表获取完整关系信息(新系统)
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try:
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from src.common.database.compatibility import db_query
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from src.common.database.core.models import UserRelationships
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from src.common.database.api.specialized import get_user_relationship
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# 查询用户关系数据(修复:添加 await)
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# 查询用户关系数据
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user_id = str(await person_info_manager.get_value(person_id, "user_id"))
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relationships = await db_query(
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UserRelationships,
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filters={"user_id": user_id},
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limit=1,
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platform = str(await person_info_manager.get_value(person_id, "platform"))
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# 使用优化后的API(带缓存)
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relationship = await get_user_relationship(
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platform=platform,
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user_id=user_id,
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target_id="bot", # 或者根据实际需要传入目标用户ID
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)
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if relationships:
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# db_query 返回字典列表,使用字典访问方式
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rel_data = relationships[0]
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if relationship:
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# 将SQLAlchemy对象转换为字典以保持兼容性
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rel_data = {
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"user_aliases": relationship.user_aliases,
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"relationship_text": relationship.relationship_text,
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"preference_keywords": relationship.preference_keywords,
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"relationship_score": relationship.affinity,
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}
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# 5.1 用户别名
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if rel_data.get("user_aliases"):
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@@ -243,21 +250,27 @@ class RelationshipFetcher:
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str: 格式化后的聊天流印象字符串
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"""
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try:
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from src.common.database.compatibility import db_query
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from src.common.database.core.models import ChatStreams
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from src.common.database.api.specialized import get_or_create_chat_stream
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# 查询聊天流数据
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streams = await db_query(
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ChatStreams,
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filters={"stream_id": stream_id},
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limit=1,
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# 使用优化后的API(带缓存)
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# 从stream_id解析platform,或使用默认值
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platform = stream_id.split("_")[0] if "_" in stream_id else "unknown"
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stream, _ = await get_or_create_chat_stream(
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stream_id=stream_id,
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platform=platform,
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)
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if not streams:
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if not stream:
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return ""
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# db_query 返回字典列表,使用字典访问方式
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stream_data = streams[0]
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# 将SQLAlchemy对象转换为字典以保持兼容性
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stream_data = {
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"group_name": stream.group_name,
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"stream_impression_text": stream.stream_impression_text,
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"stream_chat_style": stream.stream_chat_style,
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"stream_topic_keywords": stream.stream_topic_keywords,
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}
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impression_parts = []
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# 1. 聊天环境基本信息
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