53 lines
2.3 KiB
Python
53 lines
2.3 KiB
Python
from datetime import datetime
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from sqlalchemy import String, Integer, DateTime, Text
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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 Document(Base):
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__tablename__ = "documents"
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id: Mapped[int] = mapped_column(primary_key=True, index=True)
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document_id: Mapped[str] = mapped_column(String(64), unique=True, index=True, nullable=False)
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document_type: Mapped[str | None] = mapped_column(String(50), nullable=True)
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source_path: Mapped[str] = mapped_column(Text, nullable=False)
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original_path: Mapped[str | None] = mapped_column(Text, nullable=True)
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current_path: Mapped[str | None] = mapped_column(Text, nullable=True)
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share_path: Mapped[str | None] = mapped_column(Text, nullable=True)
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original_filename: Mapped[str | None] = mapped_column(String(255), nullable=True)
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canonical_filename: Mapped[str | None] = mapped_column(String(255), nullable=True)
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mime_type: Mapped[str | None] = mapped_column(String(100), nullable=True)
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file_size: Mapped[int | None] = mapped_column(Integer, nullable=True)
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page_count: Mapped[int | None] = mapped_column(Integer, nullable=True)
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sha256_original: Mapped[str | None] = mapped_column(String(64), nullable=True)
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sha256_current: Mapped[str | None] = mapped_column(String(64), nullable=True)
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storage_status: Mapped[str] = mapped_column(String(50), default="ingested", nullable=False)
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review_status: Mapped[str] = mapped_column(String(50), default="ingested", nullable=False)
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created_at: Mapped[datetime] = mapped_column(DateTime, default=datetime.utcnow, nullable=False)
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updated_at: Mapped[datetime] = mapped_column(DateTime, default=datetime.utcnow, onupdate=datetime.utcnow, nullable=False)
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versions: Mapped[list["DocumentVersion"]] = relationship(
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back_populates="document",
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cascade="all, delete-orphan",
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)
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text_versions: Mapped[list["TextVersion"]] = relationship(
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back_populates="document",
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cascade="all, delete-orphan",
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)
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extracted_fields: Mapped[list["ExtractedField"]] = relationship(
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back_populates="document",
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cascade="all, delete-orphan",
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)
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layer1_candidates: Mapped[list["Layer1Candidate"]] = relationship(
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back_populates="document",
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cascade="all, delete-orphan",
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)
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