统计分析

schema/statistics_schema.py

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+from pydantic import BaseModel, ConfigDict
+from datetime import date
+from typing import List, Optional
+
+
+class StudentInfo1(BaseModel):
+    model_config = ConfigDict(from_attributes=True)
+    student_id: str
+    student_name: str
+    gender: str
+    id_card: str
+    birthday: Optional[date] = None
+    ethnicity: Optional[str] = None
+    region_id: Optional[str] = None
+    phone: Optional[str] = None
+    major: str
+    class_id: str
+    enrollment_date: Optional[date] = None
+    graduation_date: Optional[date] = None
+    student_status: str
+    education_level: str
+
+
+class ResponseModel(BaseModel):
+    code: int
+    message: str = 'ok'
+    total: int
+    total_pages: int
+    data: List[StudentInfo1]
+
+
+class ClassStatResponse(BaseModel):
+    code: int = 200
+    message: str = 'ok'
+    class_id: str
+    total_count: int
+    male_count: int
+    female_count: int
+
+
+class StudentInfo2(BaseModel):
+    student_id: str
+    student_name: str
+    score: Optional[float] = None
+
+
+class ResponseModel1(BaseModel):
+    code: int
+    message: str = 'ok'
+    total: int
+    total_pages: int
+    data: List[StudentInfo2]
+
+
+class StudentInfo3(BaseModel):
+    student_id: str
+    student_name: str
+    fail_count: int
+
+
+class ResponseModel2(BaseModel):
+    code: int
+    message: str = 'ok'
+    total: int
+    total_pages: int
+    data: List[StudentInfo3]
+
+
+class ClassExamAvg(BaseModel):
+    course_id: str
+    class_id: str
+    class_name: str
+    avg_score: float
+
+
+class ResponseModel3(BaseModel):
+    code: int
+    message: str = 'ok'
+    total: int
+    total_pages: int
+    data: List[ClassExamAvg]
+
+
+class SalaryTop(BaseModel):
+    student_name: str
+    class_name: str
+    company_name: str
+    offer_date: Optional[date] = None
+    salary: Optional[float] = None
+
+
+class ResponseModel4(BaseModel):
+    code: int
+    message: str = 'ok'
+    data: List[SalaryTop]
+
+
+class TimeSize(BaseModel):
+    student_id: str
+    student_name: str
+    offer_date: Optional[date] = None
+    resume_open_date: Optional[date] = None
+    time_size: Optional[int] = None
+
+
+class ResponseModel5(BaseModel):
+    code: int
+    message: str = 'ok'
+    total: int
+    total_pages: int
+    data: List[TimeSize]
+
+
+class ClassAvgTimeSize(BaseModel):
+    class_id: str
+    class_name: str
+    avg_time_size: float
+
+
+class ResponseModel6(BaseModel):
+    code: int
+    message: str = 'ok'
+    total: int
+    total_pages: int
+    data: List[ClassAvgTimeSize]