42 lines
2.0 KiB
Python
42 lines
2.0 KiB
Python
from datetime import datetime, timezone
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from sqlalchemy import String, Text, DateTime, ForeignKey, Integer
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from sqlalchemy.orm import Mapped, mapped_column, relationship
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from app.db.database import Base
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class Session(Base):
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__tablename__ = "sessions"
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id: Mapped[str] = mapped_column(String, primary_key=True)
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title: Mapped[str] = mapped_column(String, default="New Chat")
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model: Mapped[str] = mapped_column(String, default="")
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created_at: Mapped[datetime] = mapped_column(DateTime, default=lambda: datetime.now(timezone.utc))
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updated_at: Mapped[datetime] = mapped_column(DateTime, default=lambda: datetime.now(timezone.utc), onupdate=lambda: datetime.now(timezone.utc))
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messages: Mapped[list["Message"]] = relationship(back_populates="session", cascade="all, delete-orphan", order_by="Message.created_at")
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memories: Mapped[list["Memory"]] = relationship(back_populates="session", cascade="all, delete-orphan")
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class Message(Base):
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__tablename__ = "messages"
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id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
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session_id: Mapped[str] = mapped_column(ForeignKey("sessions.id", ondelete="CASCADE"))
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role: Mapped[str] = mapped_column(String) # "user" | "assistant" | "system"
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content: Mapped[str] = mapped_column(Text)
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created_at: Mapped[datetime] = mapped_column(DateTime, default=lambda: datetime.now(timezone.utc))
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session: Mapped["Session"] = relationship(back_populates="messages")
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class Memory(Base):
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__tablename__ = "memories"
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id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
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session_id: Mapped[str] = mapped_column(ForeignKey("sessions.id", ondelete="CASCADE"))
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summary: Mapped[str] = mapped_column(Text)
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embedding_json: Mapped[str | None] = mapped_column(Text, nullable=True) # 将来のベクトル検索用
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created_at: Mapped[datetime] = mapped_column(DateTime, default=lambda: datetime.now(timezone.utc))
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session: Mapped["Session"] = relationship(back_populates="memories")
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