34 lines
1.7 KiB
Python
34 lines
1.7 KiB
Python
from __future__ import annotations
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from sqlalchemy import Boolean, DateTime, ForeignKey, Integer, String, Text, func
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from sqlalchemy.dialects.postgresql import JSONB
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from sqlalchemy.orm import Mapped, mapped_column, relationship
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from app.db.base import Base
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class DocumentAnalysisVersion(Base):
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__tablename__ = "document_analysis_versions"
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id: Mapped[int] = mapped_column(Integer, primary_key=True)
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document_id: Mapped[int] = mapped_column(ForeignKey("documents.id", ondelete="CASCADE"), index=True, nullable=False)
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version_number: Mapped[int] = mapped_column(Integer, nullable=False)
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analysis_type: Mapped[str] = mapped_column(String(50), nullable=False, default="canonical")
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is_current: Mapped[bool] = mapped_column(Boolean, nullable=False, default=True)
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created_by: Mapped[str | None] = mapped_column(String(100), nullable=True)
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engine_name: Mapped[str | None] = mapped_column(String(100), nullable=True)
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engine_version: Mapped[str | None] = mapped_column(String(100), nullable=True)
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model_name: Mapped[str | None] = mapped_column(String(200), nullable=True)
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prompt_version: Mapped[str | None] = mapped_column(String(100), nullable=True)
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quality_score: Mapped[float | None] = mapped_column(nullable=True)
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quality_note: Mapped[str | None] = mapped_column(Text, nullable=True)
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quality_flags: Mapped[dict | list | None] = mapped_column(JSONB, nullable=True)
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analysis_json: Mapped[dict | None] = mapped_column(JSONB, nullable=True)
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created_at: Mapped[DateTime] = mapped_column(DateTime(timezone=True), server_default=func.now(), nullable=False)
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document = relationship("Document", back_populates="analysis_versions")
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