""" Document model — stores metadata for every uploaded file. The actual binary is stored on the filesystem (uploads/). Embeddings/chunks live in Qdrant. """ from __future__ import annotations import uuid from datetime import datetime from sqlalchemy import Boolean, DateTime, ForeignKey, Integer, String, Text, func from sqlalchemy.orm import Mapped, mapped_column from app.core.database import Base class Document(Base): __tablename__ = "documents" id: Mapped[str] = mapped_column( String(36), primary_key=True, default=lambda: str(uuid.uuid4()) ) # Ownership tenant_id: Mapped[str] = mapped_column( String(36), ForeignKey("tenants.id"), nullable=False, index=True ) uploaded_by: Mapped[str] = mapped_column( String(36), ForeignKey("users.id"), nullable=False ) # File metadata filename: Mapped[str] = mapped_column(String(512), nullable=False) original_name: Mapped[str] = mapped_column(String(512), nullable=False) file_path: Mapped[str] = mapped_column(String(1024), nullable=False) file_size_bytes: Mapped[int] = mapped_column(Integer, default=0) mime_type: Mapped[str] = mapped_column(String(100), default="application/pdf") # Classification doc_type: Mapped[str] = mapped_column( String(50), default="general" ) # general | hr | finance | legal | technical # Processing status status: Mapped[str] = mapped_column( String(30), default="pending" ) # pending | processing | ready | failed error_message: Mapped[str | None] = mapped_column(Text, nullable=True) chunk_count: Mapped[int] = mapped_column(Integer, default=0) page_count: Mapped[int] = mapped_column(Integer, default=0) # Timestamps created_at: Mapped[datetime] = mapped_column( DateTime(timezone=True), server_default=func.now(), index=True ) updated_at: Mapped[datetime] = mapped_column( DateTime(timezone=True), server_default=func.now(), onupdate=func.now() ) def __repr__(self) -> str: return f""