SST/PythonProject/api/statistics_api.py

from fastapi import APIRouter,Depends
from dao.statistics_dao import *
from schema.student_schema import StudentResponse
from schema.statistics_schema import *
from util.database import get_db

StatisticsAPI = APIRouter()

@StatisticsAPI.get("/age",response_model=list[StudentResponse],tags=['统计分析模块'],summary='根据年龄查询学生信息')
def get_students(min_age:int|None=None,max_age:int|None=None,db=Depends(get_db)):
    l = select_age(min_age,max_age,db)
    return l

@StatisticsAPI.get("/all",response_model=list[AllStuResponse],tags=['统计分析模块'],summary='统计每个班级的学员总数和男女生总数')
def get_students(db=Depends(get_db)):
    l = select_all(db)
    return l

@StatisticsAPI.get("/score",response_model=StudentResponse,tags=['统计分析模块'],summary='根据成绩查询学生信息')
def get_students(min_score:int|None=None,max_score:int|None=None,db=Depends(get_db)):
    l = select_score(min_score,max_score,db)
    return [i for i in l]

@StatisticsAPI.get("/avg_score",response_model=list[AcgScoreResponse],tags=['统计分析模块'],summary='统计每次考试每个班级的平均分并排序')
def get_scores(db=Depends(get_db)):
    l = select_avg_score(db)
    return l

@StatisticsAPI.get("/salary",response_model=list[StudentResponse],tags=['统计分析模块'],summary='统计薪资最高的前五名的学员信息')
def get_scores(db=Depends(get_db)):
    l = select_salary(db)
    return l

@StatisticsAPI.get("/avg_day",response_model=list[AvgDayResponse],tags=['统计分析模块'],summary='统计每个班级的平均就业时长')
def get_days(db=Depends(get_db)):
    l = select_days(db)
    return l


@StatisticsAPI.get('/emp',response_model=AllEmpResponse,tags=['统计分析模块'],summary='统计每个学生的就业时长')
def get_emp(db=Depends(get_db)):
    l= select_days2(db)
    return l