41 lines
1.4 KiB
Python
41 lines
1.4 KiB
Python
from datetime import datetime
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from sqlalchemy import Boolean, DateTime, Float, ForeignKey, String, Text
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from sqlalchemy.orm import Mapped, mapped_column, relationship
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from app.database import Base
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class DimensionScore(Base):
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__tablename__ = "dimension_scores"
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id: Mapped[int] = mapped_column(primary_key=True)
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ticker_id: Mapped[int] = mapped_column(
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ForeignKey("tickers.id", ondelete="CASCADE"), nullable=False
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)
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dimension: Mapped[str] = mapped_column(String(50), nullable=False)
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score: Mapped[float] = mapped_column(Float, nullable=False)
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is_stale: Mapped[bool] = mapped_column(Boolean, nullable=False, default=False)
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computed_at: Mapped[datetime] = mapped_column(
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DateTime(timezone=True), nullable=False
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)
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ticker = relationship("Ticker", back_populates="dimension_scores")
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class CompositeScore(Base):
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__tablename__ = "composite_scores"
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id: Mapped[int] = mapped_column(primary_key=True)
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ticker_id: Mapped[int] = mapped_column(
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ForeignKey("tickers.id", ondelete="CASCADE"), nullable=False
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)
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score: Mapped[float] = mapped_column(Float, nullable=False)
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is_stale: Mapped[bool] = mapped_column(Boolean, nullable=False, default=False)
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weights_json: Mapped[str] = mapped_column(Text, nullable=False)
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computed_at: Mapped[datetime] = mapped_column(
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DateTime(timezone=True), nullable=False
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)
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ticker = relationship("Ticker", back_populates="composite_scores")
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