forked from hesabix/arc
26 lines
955 B
Python
26 lines
955 B
Python
from __future__ import annotations
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from datetime import datetime
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from sqlalchemy import DateTime, ForeignKey, Integer, Text
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from sqlalchemy.orm import Mapped, mapped_column
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from adapters.db.session import Base
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class AIKnowledgeChunk(Base):
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"""بخش سند + بردار embedding (JSON) برای جستجوی معنایی."""
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__tablename__ = "ai_knowledge_chunks"
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id: Mapped[int] = mapped_column(primary_key=True, autoincrement=True)
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document_id: Mapped[int] = mapped_column(
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Integer,
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ForeignKey("ai_knowledge_documents.id", ondelete="CASCADE"),
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nullable=False,
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index=True,
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)
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chunk_index: Mapped[int] = mapped_column(Integer, nullable=False, default=0)
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content: Mapped[str] = mapped_column(Text, nullable=False)
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embedding_json: Mapped[str | None] = mapped_column(Text, nullable=True)
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created_at: Mapped[datetime] = mapped_column(DateTime, default=datetime.utcnow, nullable=False)
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