33 lines
2.4 KiB
Python
33 lines
2.4 KiB
Python
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"""Knowledge extraction models — tracks LLM extractions and review queue."""
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from __future__ import annotations
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import uuid
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from datetime import datetime
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from sqlalchemy import DateTime, Float, ForeignKey, Index, Integer, String, Text, func
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from sqlalchemy.dialects.postgresql import JSONB, UUID as PGUUID
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from sqlalchemy.orm import Mapped, mapped_column
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from app.core.db import Base, TenantMixin
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class KnowledgeExtraction(Base, TenantMixin):
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"""Tracks a single knowledge extraction run from a source (wiki, dms, mail, comm)."""
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__tablename__ = "knowledge_extractions"
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__table_args__ = (
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Index("ix_knowledge_ext_tenant_status", "tenant_id", "status"),
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Index("ix_knowledge_ext_source", "tenant_id", "source_type", "source_id"),
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)
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id: Mapped[uuid.UUID] = mapped_column(PGUUID(as_uuid=True), primary_key=True, default=uuid.uuid4)
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source_type: Mapped[str] = mapped_column(String(50), nullable=False) # wiki_article, dms_file, mail, communication
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source_id: Mapped[uuid.UUID] = mapped_column(PGUUID(as_uuid=True), nullable=False)
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source_title: Mapped[str | None] = mapped_column(String(500), nullable=True)
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extracted_entities: Mapped[list] = mapped_column(JSONB, nullable=False, default=list)
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extracted_relationships: Mapped[list] = mapped_column(JSONB, nullable=False, default=list)
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confidence: Mapped[float] = mapped_column(Float, nullable=False, default=0.0)
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status: Mapped[str] = mapped_column(String(30), nullable=False, default="pending") # pending, approved, rejected, auto_created
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review_notes: Mapped[str | None] = mapped_column(Text, nullable=True)
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llm_model: Mapped[str | None] = mapped_column(String(100), nullable=True)
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llm_cost_usd: Mapped[float] = mapped_column(Float, nullable=False, default=0.0)
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created_by: Mapped[uuid.UUID | None] = mapped_column(PGUUID(as_uuid=True), ForeignKey("users.id", ondelete="SET NULL"), nullable=True)
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reviewed_by: Mapped[uuid.UUID | None] = mapped_column(PGUUID(as_uuid=True), ForeignKey("users.id", ondelete="SET NULL"), nullable=True)
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reviewed_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True)
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created_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), nullable=False, server_default=func.now())
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updated_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), nullable=False, server_default=func.now(), onupdate=func.now())
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