* [feature]Generate emotions, implicit cache * [feature]Generate emotions, implicit cache * [changes]Improve the code based on AI review * [changes]Improve the code based on AI review * [changes]Improve the code * [feature]Generate emotions, implicit cache * [changes]Improve the code based on AI review * [changes]Improve the code
28 lines
1.4 KiB
Python
28 lines
1.4 KiB
Python
"""隐性记忆缓存模型"""
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import uuid
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import datetime
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from sqlalchemy import Column, String, Integer, DateTime, JSON
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from sqlalchemy.dialects.postgresql import UUID
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from app.db import Base
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class ImplicitMemoryCache(Base):
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"""隐性记忆缓存表
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用于缓存用户的完整隐性记忆画像,包括偏好标签、四维画像、兴趣领域和行为习惯。
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减少 LLM 调用成本,提升响应速度。
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"""
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__tablename__ = "implicit_memory_cache"
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id = Column(UUID(as_uuid=True), primary_key=True, default=uuid.uuid4, index=True)
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end_user_id = Column(String(255), nullable=False, unique=True, index=True, comment="终端用户ID")
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preferences = Column(JSON, nullable=False, comment="偏好标签列表(JSON格式)")
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portrait = Column(JSON, nullable=False, comment="四维画像对象(JSON格式)")
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interest_areas = Column(JSON, nullable=False, comment="兴趣领域分布对象(JSON格式)")
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habits = Column(JSON, nullable=False, comment="行为习惯列表(JSON格式)")
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generated_at = Column(DateTime, nullable=False, default=datetime.datetime.now, comment="生成时间")
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expires_at = Column(DateTime, nullable=True, comment="过期时间")
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created_at = Column(DateTime, default=datetime.datetime.now)
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updated_at = Column(DateTime, default=datetime.datetime.now, onupdate=datetime.datetime.now)
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