刘金宝
34 lines
1.5 KiB
Python
34 lines
1.5 KiB
Python
from datetime import datetime
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from sqlalchemy import DateTime, Integer, JSON, Numeric, String
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from sqlalchemy.orm import Mapped, mapped_column
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from app.db.base import Base
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from app.models.mixins import TimestampMixin
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class User(TimestampMixin, Base):
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"""宿主用户引用：保存外部 user_id，不承担登录注册职责。"""
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__tablename__ = "users"
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id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
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external_user_id: Mapped[str] = mapped_column(String(128), nullable=False, unique=True, index=True)
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display_name: Mapped[str | None] = mapped_column(String(100), nullable=True)
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class UserLearningProfile(TimestampMixin, Base):
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"""学习档案模型：聚合完整评价记录形成用户能力画像。"""
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__tablename__ = "user_learning_profiles"
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id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
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user_id: Mapped[str] = mapped_column(String(128), nullable=False, index=True)
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tenant_id: Mapped[str | None] = mapped_column(String(128), nullable=True, index=True)
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total_evaluations: Mapped[int] = mapped_column(Integer, default=0)
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avg_score_percentage: Mapped[float | None] = mapped_column(Numeric(6, 2))
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avg_score_five_point: Mapped[float | None] = mapped_column(Numeric(4, 2))
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weak_dimensions: Mapped[list | None] = mapped_column(JSON)
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last_evaluation_id: Mapped[int | None] = mapped_column(Integer)
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last_trained_at: Mapped[datetime | None] = mapped_column(DateTime, index=True)
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