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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@@ -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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