refactor(scoring): 重构评分系统使用统一API替代插件内部实现
将原有的兴趣度评分系统重构为使用统一的评分API,移除了插件内部实现并更新了所有相关引用。主要变更包括: - 替换 chatter_interest_scoring_system 为 scoring_api - 移除 interest_scoring.py 文件,统一使用 src/plugin_system/apis/scoring_api - 更新关系追踪器以使用统一API,保持向后兼容性 - 简化了多个模块中的关系分获取逻辑
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src/plugin_system/services/relationship_service.py
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232
src/plugin_system/services/relationship_service.py
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"""
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用户关系分服务
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提供独立的关系分获取和管理功能,不依赖任何插件
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"""
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import time
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from typing import Optional
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from src.common.database.sqlalchemy_models import UserRelationships, get_db_session
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from src.common.logger import get_logger
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from src.config.config import global_config
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logger = get_logger("relationship_service")
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class RelationshipService:
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"""用户关系分服务 - 独立于插件的数据库直接访问层"""
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def __init__(self):
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self._cache: dict[str, dict] = {} # user_id -> {score, text, last_updated}
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self._cache_ttl = 300 # 缓存5分钟
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async def get_user_relationship_score(self, user_id: str) -> float:
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"""
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获取用户关系分
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Args:
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user_id: 用户ID
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Returns:
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关系分 (0.0 - 1.0)
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"""
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try:
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# 先检查缓存
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cached_data = self._get_from_cache(user_id)
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if cached_data is not None:
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return cached_data["score"]
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# 从数据库获取
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relationship_data = await self._fetch_from_database(user_id)
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if relationship_data:
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score = relationship_data.relationship_score
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# 更新缓存
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self._update_cache(user_id, score, relationship_data.relationship_text)
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logger.debug(f"从数据库获取用户关系分: {user_id} -> {score:.3f}")
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return max(0.0, min(1.0, score))
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else:
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# 用户不存在,返回默认分数并创建记录
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default_score = global_config.affinity_flow.base_relationship_score
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await self._create_default_relationship(user_id)
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self._update_cache(user_id, default_score, "新用户")
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logger.debug(f"创建默认关系分: {user_id} -> {default_score:.3f}")
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return default_score
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except Exception as e:
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logger.error(f"获取用户关系分失败: {user_id}, 错误: {e}")
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return global_config.affinity_flow.base_relationship_score
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async def get_user_relationship_data(self, user_id: str) -> dict:
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"""
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获取用户完整关系数据
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Args:
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user_id: 用户ID
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Returns:
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包含关系分、关系文本等的字典
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"""
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try:
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# 先检查缓存
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cached_data = self._get_from_cache(user_id)
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if cached_data is not None:
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return {
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"relationship_score": cached_data["score"],
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"relationship_text": cached_data["text"],
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"last_updated": cached_data["last_updated"]
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}
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# 从数据库获取
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relationship_data = await self._fetch_from_database(user_id)
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if relationship_data:
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result = {
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"relationship_score": relationship_data.relationship_score,
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"relationship_text": relationship_data.relationship_text or "",
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"last_updated": relationship_data.last_updated,
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"user_name": relationship_data.user_name or ""
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}
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# 更新缓存
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self._update_cache(user_id, result["relationship_score"], result["relationship_text"])
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return result
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else:
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# 创建默认记录
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default_score = global_config.affinity_flow.base_relationship_score
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await self._create_default_relationship(user_id)
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default_result = {
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"relationship_score": default_score,
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"relationship_text": "新用户",
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"last_updated": time.time(),
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"user_name": ""
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}
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self._update_cache(user_id, default_score, "新用户")
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return default_result
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except Exception as e:
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logger.error(f"获取用户关系数据失败: {user_id}, 错误: {e}")
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return {
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"relationship_score": global_config.affinity_flow.base_relationship_score,
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"relationship_text": "新用户",
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"last_updated": time.time(),
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"user_name": ""
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}
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async def update_user_relationship(self, user_id: str, relationship_score: float, relationship_text: Optional[str] = None, user_name: Optional[str] = None):
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"""
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更新用户关系数据
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Args:
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user_id: 用户ID
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relationship_score: 关系分 (0.0 - 1.0)
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relationship_text: 关系描述文本
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user_name: 用户名称
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"""
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try:
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# 限制分数范围
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score = max(0.0, min(1.0, relationship_score))
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async with get_db_session() as session:
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# 查找现有记录
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from sqlalchemy import select
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stmt = select(UserRelationships).where(UserRelationships.user_id == user_id)
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result = await session.execute(stmt)
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existing = result.scalar_one_or_none()
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if existing:
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# 更新现有记录
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existing.relationship_score = score
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existing.last_updated = time.time()
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if relationship_text is not None:
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existing.relationship_text = relationship_text
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if user_name is not None:
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existing.user_name = user_name
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logger.debug(f"更新用户关系: {user_id} -> {score:.3f}")
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else:
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# 创建新记录
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new_relationship = UserRelationships(
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user_id=user_id,
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user_name=user_name or "",
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relationship_text=relationship_text or "新用户",
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relationship_score=score,
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last_updated=time.time()
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)
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session.add(new_relationship)
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logger.debug(f"创建用户关系: {user_id} -> {score:.3f}")
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await session.commit()
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# 更新缓存
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self._update_cache(user_id, score, relationship_text or "新用户")
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except Exception as e:
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logger.error(f"更新用户关系失败: {user_id}, 错误: {e}")
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def _get_from_cache(self, user_id: str) -> Optional[dict]:
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"""从缓存获取数据"""
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if user_id in self._cache:
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cached_data = self._cache[user_id]
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if time.time() - cached_data["last_updated"] < self._cache_ttl:
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return cached_data
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else:
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# 缓存过期,删除
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del self._cache[user_id]
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return None
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def _update_cache(self, user_id: str, score: float, text: str):
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"""更新缓存"""
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self._cache[user_id] = {
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"score": score,
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"text": text,
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"last_updated": time.time()
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}
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async def _fetch_from_database(self, user_id: str) -> Optional[UserRelationships]:
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"""从数据库获取关系数据"""
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try:
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async with get_db_session() as session:
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from sqlalchemy import select
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stmt = select(UserRelationships).where(UserRelationships.user_id == user_id)
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result = await session.execute(stmt)
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return result.scalar_one_or_none()
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except Exception as e:
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logger.error(f"从数据库获取关系数据失败: {user_id}, 错误: {e}")
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return None
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async def _create_default_relationship(self, user_id: str):
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"""创建默认关系记录"""
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try:
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default_score = global_config.affinity_flow.base_relationship_score
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async with get_db_session() as session:
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new_relationship = UserRelationships(
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user_id=user_id,
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user_name="",
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relationship_text="新用户",
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relationship_score=default_score,
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last_updated=time.time()
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)
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session.add(new_relationship)
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await session.commit()
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logger.debug(f"创建默认关系记录: {user_id} -> {default_score:.3f}")
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except Exception as e:
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logger.error(f"创建默认关系记录失败: {user_id}, 错误: {e}")
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def get_cache_stats(self) -> dict:
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"""获取缓存统计信息"""
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return {
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"cached_users": len(self._cache),
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"cache_ttl": self._cache_ttl,
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"cache_keys": list(self._cache.keys())
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}
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def clear_cache(self, user_id: Optional[str] = None):
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"""清理缓存"""
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if user_id:
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if user_id in self._cache:
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del self._cache[user_id]
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logger.debug(f"清理用户缓存: {user_id}")
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else:
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self._cache.clear()
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logger.debug("清理所有缓存")
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# 创建全局实例
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relationship_service = RelationshipService()
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