刘金宝
76 lines
2.0 KiB
Python
76 lines
2.0 KiB
Python
from pydantic import BaseModel, Field
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from app.schemas.evaluation import EvaluationResponse
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class TeachingVideo(BaseModel):
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"""教学视频：题目解析关联的视频资源。"""
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title: str = ""
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url: str = ""
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class TeachingOption(BaseModel):
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"""教学选项：单选题或多选题的选项结构。"""
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key: str
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text: str
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class TeachingQuestion(BaseModel):
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"""教学题目：从 teaching_case 解析出的互动题目。"""
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question_id: str
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question_type: str = "single_choice"
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stem: str
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options: list[TeachingOption] = Field(default_factory=list)
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answer: str | list[str]
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analysis: str = ""
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video: TeachingVideo | None = None
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knowledge_points: list[str] = Field(default_factory=list)
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class TeachingCaseSummary(BaseModel):
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"""教学病例摘要：教学互动页面展示的病例基础信息。"""
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case_id: int
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title: str
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department_id: int | None = None
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difficulty: str
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chief_complaint: str
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description: str
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patient_age: int | None = None
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patient_gender: str | None = None
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knowledge_points: list[str] = Field(default_factory=list)
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class TeachingItemsResponse(BaseModel):
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"""教学列表响应：病例、教学目标、题目、答案、解析文本和视频。"""
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case: TeachingCaseSummary
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teaching_goal: str
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teacher_guide: str
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scoring_focus: str
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questions: list[TeachingQuestion]
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class TeachingAnswer(BaseModel):
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"""教学作答：前端提交的单题选择结果。"""
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question_id: str = Field(min_length=1, max_length=64)
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selected_answer: str | list[str]
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class CreateTeachingEvaluationRequest(BaseModel):
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"""教学评价入参：提交教学互动题目作答并生成评价。"""
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case_id: int
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answers: list[TeachingAnswer] = Field(min_length=1)
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score_type: str = Field(default="percentage", pattern="^(percentage|five_point)$")
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class TeachingEvaluationResponse(EvaluationResponse):
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"""教学评价响应：复用训练评价结构，并返回教学会话 ID。"""
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session_id: int
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