43 lines
1.4 KiB
Python
43 lines
1.4 KiB
Python
from pydantic import BaseModel, Field
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class LearningAssistantSessionCreateRequest(BaseModel):
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"""学习助手会话创建请求:进入 AI 学习助手页面时初始化短期问答会话。"""
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title: str | None = Field(default=None, max_length=100, description="会话标题,前端可不传")
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class LearningAssistantSessionResponse(BaseModel):
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"""学习助手会话响应:返回前端后续流式问答需要使用的会话 ID。"""
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assistant_session_id: str
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user_id: str
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institution_id: int | None = None
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institution_name: str | None = None
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title: str
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status: str
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created_at: str
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updated_at: str
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expires_in_seconds: int
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class LearningAssistantChatRequest(BaseModel):
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"""学习助手问答请求:普通用户面向机构知识库提出医学学习问题。"""
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question: str = Field(..., min_length=1, max_length=1000, description="用户问题")
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top_k: int | None = Field(default=None, ge=1, le=10, description="最终返回给 LLM 的来源片段数")
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score_threshold: float | None = Field(default=None, ge=0, le=1, description="向量相似度过滤阈值")
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class LearningAssistantSource(BaseModel):
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"""学习助手来源:记录 PDF 文档、页码和引用片段。"""
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document_id: int
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document_title: str | None = None
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file_name: str
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page_start: int
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page_end: int
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chunk_uid: str
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score: float
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quote: str
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