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