66 lines
3.4 KiB
Python
66 lines
3.4 KiB
Python
"""Data model representing a stored and processed document."""
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import uuid
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from datetime import UTC, datetime
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from enum import Enum
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from sqlalchemy import Boolean, DateTime, Enum as SqlEnum, ForeignKey, Integer, String, Text
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from sqlalchemy.dialects.postgresql import ARRAY, JSONB, UUID
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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 DocumentStatus(str, Enum):
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"""Enumerates processing states for uploaded documents."""
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QUEUED = "queued"
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PROCESSED = "processed"
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UNSUPPORTED = "unsupported"
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ERROR = "error"
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TRASHED = "trashed"
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class Document(Base):
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"""Stores file identity, storage paths, extracted content, and classification metadata."""
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__tablename__ = "documents"
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id: Mapped[uuid.UUID] = mapped_column(UUID(as_uuid=True), primary_key=True, default=uuid.uuid4)
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original_filename: Mapped[str] = mapped_column(String(512), nullable=False)
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source_relative_path: Mapped[str] = mapped_column(String(1024), nullable=False, default="")
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stored_relative_path: Mapped[str] = mapped_column(String(1024), nullable=False)
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mime_type: Mapped[str] = mapped_column(String(255), nullable=False, default="application/octet-stream")
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extension: Mapped[str] = mapped_column(String(32), nullable=False, default="")
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sha256: Mapped[str] = mapped_column(String(128), nullable=False)
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size_bytes: Mapped[int] = mapped_column(Integer, nullable=False)
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logical_path: Mapped[str] = mapped_column(String(1024), nullable=False, default="Inbox")
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suggested_path: Mapped[str | None] = mapped_column(String(1024), nullable=True)
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tags: Mapped[list[str]] = mapped_column(ARRAY(String), nullable=False, default=list)
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suggested_tags: Mapped[list[str]] = mapped_column(ARRAY(String), nullable=False, default=list)
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metadata_json: Mapped[dict] = mapped_column(JSONB, nullable=False, default=dict)
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extracted_text: Mapped[str] = mapped_column(Text, nullable=False, default="")
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image_text_type: Mapped[str | None] = mapped_column(String(64), nullable=True)
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handwriting_style_id: Mapped[str | None] = mapped_column(String(64), nullable=True, index=True)
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status: Mapped[DocumentStatus] = mapped_column(SqlEnum(DocumentStatus), nullable=False, default=DocumentStatus.QUEUED)
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preview_available: Mapped[bool] = mapped_column(Boolean, nullable=False, default=False)
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archived_member_path: Mapped[str | None] = mapped_column(String(1024), nullable=True)
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is_archive_member: Mapped[bool] = mapped_column(Boolean, nullable=False, default=False)
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parent_document_id: Mapped[uuid.UUID | None] = mapped_column(UUID(as_uuid=True), ForeignKey("documents.id"), nullable=True)
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replaces_document_id: Mapped[uuid.UUID | None] = mapped_column(UUID(as_uuid=True), ForeignKey("documents.id"), nullable=True)
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created_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), nullable=False, default=lambda: datetime.now(UTC))
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processed_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True)
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updated_at: Mapped[datetime] = mapped_column(
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DateTime(timezone=True),
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nullable=False,
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default=lambda: datetime.now(UTC),
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onupdate=lambda: datetime.now(UTC),
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)
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parent_document: Mapped["Document | None"] = relationship(
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"Document",
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remote_side="Document.id",
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foreign_keys=[parent_document_id],
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post_update=True,
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)
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