- chat.py: ChatSession 新增 summary/summary_up_to_message_id 字段 - rag_service.py: Prompt 支持历史摘要+最近5轮原文拼接 - model_service.py: 新增 summarize() 方法,复用已启用模型生成摘要 - chat_service.py: 集成对话历史传递,8轮后触发摘要生成 - feishu_service.py: 段落级按需读取,按标题匹配+关键词打分+top5文档 摘要策略: - 保留最近5轮原文保证追问连续性 - 更早历史由模型压缩成摘要(<=300字) - 摘要失败不阻断主流程 飞书读取优化: - 每个知识库最多读5个相关文档 - 每文档提取top10相关段落 - 按原文顺序拼接,不截断 Fix: _extract_openai_answer 重命名为 _extract_gemini_answer 避免同名函数覆盖导致MiniMax模型被错误解析为Gemini响应
43 lines
2.2 KiB
Python
43 lines
2.2 KiB
Python
from __future__ import annotations
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from datetime import datetime
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from sqlalchemy import BigInteger, DateTime, ForeignKey, Integer, String, Text, func
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from sqlalchemy.orm import Mapped, mapped_column, relationship
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from app.models.base import Base, TimestampMixin
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class ChatSession(Base, TimestampMixin):
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__tablename__ = "sys_chat_session"
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id: Mapped[int] = mapped_column(BigInteger, primary_key=True, autoincrement=True)
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user_id: Mapped[int] = mapped_column(ForeignKey("sys_user.id"), index=True, nullable=False)
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title: Mapped[str] = mapped_column(String(100), nullable=False)
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summary: Mapped[str | None] = mapped_column(Text, nullable=True)
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summary_up_to_message_id: Mapped[int | None] = mapped_column(BigInteger, nullable=True)
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message_count: Mapped[int] = mapped_column(Integer, default=0, nullable=False)
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last_message_at: Mapped[datetime | None] = mapped_column(DateTime, nullable=True)
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is_deleted: Mapped[int] = mapped_column(default=0, nullable=False)
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user: Mapped["User"] = relationship("User", back_populates="chat_sessions")
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messages: Mapped[list["ChatMessage"]] = relationship("ChatMessage", back_populates="session")
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class ChatMessage(Base):
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__tablename__ = "sys_chat_message"
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id: Mapped[int] = mapped_column(BigInteger, primary_key=True, autoincrement=True)
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session_id: Mapped[int] = mapped_column(ForeignKey("sys_chat_session.id"), index=True, nullable=False)
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user_id: Mapped[int] = mapped_column(ForeignKey("sys_user.id"), index=True, nullable=False)
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role: Mapped[str] = mapped_column(String(20), nullable=False)
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content: Mapped[str] = mapped_column(Text, nullable=False)
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message_status: Mapped[str] = mapped_column(String(20), default="FINISHED", nullable=False)
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token_input: Mapped[int | None] = mapped_column(Integer, nullable=True)
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token_output: Mapped[int | None] = mapped_column(Integer, nullable=True)
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response_time_ms: Mapped[int | None] = mapped_column(Integer, nullable=True)
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model_id: Mapped[int | None] = mapped_column(ForeignKey("sys_model.id"), nullable=True)
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created_at: Mapped[datetime] = mapped_column(DateTime, server_default=func.now(), nullable=False)
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session: Mapped[ChatSession] = relationship("ChatSession", back_populates="messages")
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