SST/PythonProject/api/statistics_api.py

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

StatisticsAPI = APIRouter(tags=['统计分析模块'])

@StatisticsAPI.get("/age",response_model=list[StudentResponse],summary='根据年龄查询学生信息')
def get_students(min_age:int|None=Query(None,ge=0,le=150),max_age:int|None=Query(None,ge=0,le=150),db=Depends(get_db)):
    l = select_age(min_age,max_age,db)
    return l

@StatisticsAPI.get("/all",response_model=list[AllStuResponse],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=list[GetScoreResponse],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 l

@StatisticsAPI.get("/avg_score",response_model=list[AcgScoreResponse],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[GetStuResponse],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],summary='统计每个班级的平均就业时长')
def get_days(db=Depends(get_db)):
    l = select_avg_days(db)
    return l

@StatisticsAPI.get('/emp',response_model=list[AllDayResponse],summary='统计每个学生的就业时长')
def get_emp(db=Depends(get_db)):
    l= select_days(db)
    return l