998211c483
- 从服务器拉取完整代码 - 按框架规范整理项目结构 - 配置 Drone CI 测试环境部署 - 包含后端(FastAPI)、前端(Vue3)、管理端 技术栈: Vue3 + TypeScript + FastAPI + MySQL
51 lines
1.8 KiB
Python
51 lines
1.8 KiB
Python
"""
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能力评估相关的Pydantic Schema
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"""
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from pydantic import BaseModel, Field
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from typing import List, Optional
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from datetime import datetime
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class AbilityDimension(BaseModel):
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"""能力维度评分"""
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name: str = Field(..., description="能力维度名称")
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score: int = Field(..., ge=0, le=100, description="评分(0-100)")
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feedback: str = Field(..., description="反馈建议")
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class CourseRecommendation(BaseModel):
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"""课程推荐"""
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course_id: int = Field(..., description="课程ID")
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course_name: str = Field(..., description="课程名称")
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recommendation_reason: str = Field(..., description="推荐理由")
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priority: str = Field(..., description="优先级: high/medium/low")
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match_score: int = Field(..., ge=0, le=100, description="匹配度(0-100)")
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class AbilityAssessmentResponse(BaseModel):
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"""能力评估响应"""
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assessment_id: int = Field(..., description="评估记录ID")
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total_score: int = Field(..., ge=0, le=100, description="综合评分")
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dimensions: List[AbilityDimension] = Field(..., description="能力维度列表")
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recommended_courses: List[CourseRecommendation] = Field(..., description="推荐课程列表")
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conversation_count: int = Field(..., description="分析的对话数量")
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analyzed_at: Optional[datetime] = Field(None, description="分析时间")
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class AbilityAssessmentHistory(BaseModel):
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"""能力评估历史记录"""
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id: int
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user_id: int
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source_type: str
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source_id: Optional[str]
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total_score: Optional[int]
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ability_dimensions: List[AbilityDimension]
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recommended_courses: Optional[List[CourseRecommendation]]
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conversation_count: Optional[int]
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analyzed_at: datetime
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created_at: datetime
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class Config:
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from_attributes = True
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