⚒️ 重大重构 LoveACE V2
引入了 mongodb 对数据库进行了一定程度的数据加密 性能改善 代码简化 统一错误模型和响应 使用 apifox 作为文档
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loveace/router/endpoint/jwc/model/score.py
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loveace/router/endpoint/jwc/model/score.py
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from typing import List, Optional
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from pydantic import BaseModel, Field
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class ScoreRecord(BaseModel):
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"""成绩记录模型"""
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sequence: int = Field(0, description="序号")
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term_id: str = Field("", description="学期ID")
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course_code: str = Field("", description="课程代码")
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course_class: str = Field("", description="课程班级")
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course_name_cn: str = Field("", description="课程名称(中文)")
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course_name_en: str = Field("", description="课程名称(英文)")
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credits: str = Field("", description="学分")
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hours: int = Field(0, description="学时")
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course_type: Optional[str] = Field(None, description="课程性质")
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exam_type: Optional[str] = Field(None, description="考试性质")
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score: str = Field("", description="成绩")
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retake_score: Optional[str] = Field(None, description="重修成绩")
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makeup_score: Optional[str] = Field(None, description="补考成绩")
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class TermScoreResponse(BaseModel):
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"""学期成绩响应模型"""
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total_count: int = Field(0, description="总记录数")
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records: List[ScoreRecord] = Field(default_factory=list, description="成绩记录列表")
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