297 lines
9.7 KiB
Python
297 lines
9.7 KiB
Python
from typing import Dict, List, Optional, Any
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from pydantic import BaseModel, Field
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class AcademicDataItem(BaseModel):
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"""学术信息数据项，用于直接反序列化JSON数组中的元素"""
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completed_courses: int = Field(0, alias="courseNum")
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failed_courses: int = Field(0, alias="coursePas")
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gpa: float = Field(0, alias="gpa")
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current_term: str = Field("", alias="zxjxjhh")
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pending_courses: int = Field(0, alias="courseNum_bxqyxd")
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class AcademicInfo(BaseModel):
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"""学术信息数据模型 - 兼容旧版API"""
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completed_courses: int = Field(0, alias="count")
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failed_courses: int = Field(0, alias="countNotPass")
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gpa: float = Field(0, alias="gpa")
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# ==================== 学期和成绩相关模型 ====================
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class TermInfo(BaseModel):
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"""学期信息模型"""
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term_id: str = Field("", description="学期ID，如：2024-2025-2-1")
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term_name: str = Field("", description="学期名称，如：2024-2025春季学期")
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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: str = Field("", description="课程性质")
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exam_type: str = Field("", 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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page_size: int = Field(50, description="每页大小")
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page_num: int = Field(1, description="页码")
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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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# ==================== 原有模型继续 ====================
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class TrainingPlanDataItem(BaseModel):
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"""培养方案数据项"""
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plan_name: str = "" # 第一项为培养方案名称
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plan_id: str = "" # 第二项为培养方案ID
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class TrainingPlanResponseWrapper(BaseModel):
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"""培养方案响应模型"""
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count: int = 0
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data: List[List[str]] = []
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class TrainingPlanInfo(BaseModel):
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"""培养方案信息模型 - 兼容旧版API"""
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plan_name: str = Field("", alias="pyfa")
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current_term: str = Field("", alias="term")
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pending_courses: int = Field(0, alias="courseCount")
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major_name: str = Field("", alias="major")
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grade: str = Field("", alias="grade")
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class CourseSelectionStatusDirectResponse(BaseModel):
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"""选课状态响应模型新格式"""
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term_name: str = Field("", alias="zxjxjhm")
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status_code: str = Field("", alias="retString")
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class CourseSelectionStatus(BaseModel):
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"""选课状态信息"""
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can_select: bool = Field(False, alias="isCanSelect")
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start_time: str = Field("", alias="startTime")
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end_time: str = Field("", alias="endTime")
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class CourseId(BaseModel):
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"""课程ID信息"""
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evaluated_people: str = Field("", alias="evaluatedPeople")
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coure_sequence_number: str = Field("", alias="coureSequenceNumber")
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evaluation_content_number: str = Field("", alias="evaluationContentNumber")
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class Questionnaire(BaseModel):
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"""问卷信息"""
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questionnaire_number: str = Field("", alias="questionnaireNumber")
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questionnaire_name: str = Field("", alias="questionnaireName")
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class Course(BaseModel):
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"""课程基本信息"""
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id: Optional[CourseId] = None
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questionnaire: Optional[Questionnaire] = Field(None, alias="questionnaire")
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evaluated_people: str = Field("", alias="evaluatedPeople")
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is_evaluated: str = Field("", alias="isEvaluated")
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evaluation_content: str = Field("", alias="evaluationContent")
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class CourseListResponse(BaseModel):
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"""课程列表响应"""
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not_finished_num: int = Field(0, alias="notFinishedNum")
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evaluation_num: int = Field(0, alias="evaluationNum")
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data: List[Course] = Field(default_factory=list, alias="data")
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msg: str = Field("", alias="msg")
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result: str = "success" # 设置默认值
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class EvaluationResponse(BaseModel):
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"""评价提交响应"""
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result: str = ""
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msg: str = ""
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data: Any = None
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class EvaluationRequestParam(BaseModel):
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"""评价请求参数"""
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opt_type: str = "submit"
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token_value: str = ""
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questionnaire_code: str = ""
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evaluation_content: str = ""
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evaluated_people_number: str = ""
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count: str = ""
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zgpj: str = ""
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rating_items: Dict[str, str] = {}
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def to_form_data(self) -> Dict[str, str]:
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"""将对象转换为表单数据映射"""
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form_data = {
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"optType": self.opt_type,
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"tokenValue": self.token_value,
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"questionnaireCode": self.questionnaire_code,
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"evaluationContent": self.evaluation_content,
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"evaluatedPeopleNumber": self.evaluated_people_number,
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"count": self.count,
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"zgpj": self.zgpj,
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}
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# 添加评分项
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form_data.update(self.rating_items)
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return form_data
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class ExamScheduleItem(BaseModel):
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"""考试安排项目 - 校统考格式"""
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title: str = "" # 考试标题，包含课程名、时间、地点等信息
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start: str = "" # 考试日期 (YYYY-MM-DD)
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color: str = "" # 显示颜色
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class OtherExamRecord(BaseModel):
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"""其他考试记录"""
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term_code: str = Field("", alias="ZXJXJHH") # 学期代码
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term_name: str = Field("", alias="ZXJXJHM") # 学期名称
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exam_name: str = Field("", alias="KSMC") # 考试名称
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course_code: str = Field("", alias="KCH") # 课程代码
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course_name: str = Field("", alias="KCM") # 课程名称
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class_number: str = Field("", alias="KXH") # 课序号
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student_id: str = Field("", alias="XH") # 学号
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student_name: str = Field("", alias="XM") # 姓名
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exam_location: str = Field("", alias="KSDD") # 考试地点
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exam_date: str = Field("", alias="KSRQ") # 考试日期
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exam_time: str = Field("", alias="KSSJ") # 考试时间
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note: str = Field("", alias="BZ") # 备注
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row_number: str = Field("", alias="RN") # 行号
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class OtherExamResponse(BaseModel):
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"""其他考试查询响应"""
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page_size: int = Field(0, alias="pageSize")
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page_num: int = Field(0, alias="pageNum")
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page_context: Dict[str, int] = Field(default_factory=dict, alias="pageContext")
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records: List[OtherExamRecord] = Field(default_factory=list, alias="records")
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class UnifiedExamInfo(BaseModel):
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"""统一考试信息模型 - 对外提供的统一格式"""
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course_name: str = "" # 课程名称
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exam_date: str = "" # 考试日期 (YYYY-MM-DD)
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exam_time: str = "" # 考试时间
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exam_location: str = "" # 考试地点
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exam_type: str = "" # 考试类型 (校统考/其他考试)
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note: str = "" # 备注信息
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class ExamInfoResponse(BaseModel):
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"""考试信息统一响应模型"""
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exams: List[UnifiedExamInfo] = Field(default_factory=list)
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total_count: int = 0
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# ==================== 错误响应模型 ====================
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class ErrorAcademicInfo(AcademicInfo):
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"""错误的学术信息数据模型"""
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completed_courses: int = Field(-1, alias="count")
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failed_courses: int = Field(-1, alias="countNotPass")
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gpa: float = Field(-1.0, alias="gpa")
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class ErrorTrainingPlanInfo(TrainingPlanInfo):
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"""错误的培养方案信息模型"""
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plan_name: str = Field("请求失败，请稍后重试", alias="pyfa")
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current_term: str = Field("", alias="term")
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pending_courses: int = Field(-1, alias="courseCount")
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major_name: str = Field("请求失败", alias="major")
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grade: str = Field("", alias="grade")
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class ErrorCourseSelectionStatus(CourseSelectionStatus):
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"""错误的选课状态信息"""
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can_select: bool = Field(False, alias="isCanSelect")
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start_time: str = Field("请求失败", alias="startTime")
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end_time: str = Field("请求失败", alias="endTime")
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class ErrorCourse(Course):
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"""错误的课程基本信息"""
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id: Optional[CourseId] = None
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questionnaire: Optional[Questionnaire] = None
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evaluated_people: str = Field("请求失败", alias="evaluatedPeople")
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is_evaluated: str = Field("否", alias="isEvaluated")
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evaluation_content: str = Field("请求失败，请稍后重试", alias="evaluationContent")
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class ErrorCourseListResponse(CourseListResponse):
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"""错误的课程列表响应"""
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not_finished_num: int = Field(-1, alias="notFinishedNum")
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evaluation_num: int = Field(-1, alias="evaluationNum")
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data: List[Course] = Field(default_factory=list, alias="data")
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msg: str = Field("网络请求失败，已进行多次重试", alias="msg")
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result: str = "failed"
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class ErrorEvaluationResponse(EvaluationResponse):
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"""错误的评价提交响应"""
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result: str = "failed"
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msg: str = "网络请求失败，已进行多次重试"
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data: Any = None
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class ErrorExamInfoResponse(ExamInfoResponse):
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"""错误的考试信息响应模型"""
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exams: List[UnifiedExamInfo] = Field(default_factory=list)
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total_count: int = -1
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class ErrorTermScoreResponse(BaseModel):
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"""错误的学期成绩响应模型"""
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page_size: int = Field(-1, description="每页大小")
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page_num: int = Field(-1, description="页码")
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total_count: int = Field(-1, 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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