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2026-09-23 09:46:15 +08:00
from fastapi import APIRouter, Depends, Query
from database import get_db
from dao.statistics_dao import StatisticsDao
from schema.statistics_schema import (
ResponseModel, ResponseModel1, ResponseModel2, ResponseModel3,
ResponseModel4, ResponseModel5, ResponseModel6, ClassStatResponse
)
from math import ceil
BasicInformationAPI = APIRouter(tags=['统计分析'])
@BasicInformationAPI.get('/basic-information', summary='查询年龄区间内的学员信息')
def get_students_by_age_range_api(
n: int = Query(..., description='页码,从1开始', ge=1),
m: int = Query(..., description='每页条数', ge=1),
min_age: int = Query(..., description='最小年龄', ge=0),
max_age: int = Query(..., description='最大年龄', le=100),
db = Depends(get_db)):
if min_age > max_age:
return ResponseModel(code=400,
message='最小年龄不能大于最大年龄',
total=0,
total_pages=0,
data=[])
req, total = StatisticsDao.get_students_by_age_range_dao(n, m, min_age, max_age, db)
return ResponseModel(code=200,
message='查询成功',
total=total,
total_pages=ceil(total / m) if total > 0 else 0,
data=req)
@BasicInformationAPI.get('/basic-information/{class_id}', summary='统计每个班级的人数以及男生/女生的人数')
def get_students_by_class_id_api(class_id: str,
db = Depends(get_db)):
total_count, male_count, female_count = StatisticsDao.get_students_by_class_id_dao(class_id, db)
return ClassStatResponse(class_id=class_id,
total_count=total_count,
male_count=male_count,
female_count=female_count)
@BasicInformationAPI.get('/scores', summary='在某个分数段的学生')
def get_students_by_score_api(
n: int = Query(..., description='页码,从1开始', ge=1),
m: int = Query(..., description='每页条数', ge=1),
score: float = Query(ge=0, le=100),
db = Depends(get_db)):
if score < 0 or score > 100:
return ResponseModel1(code=400,
message='分数需要在0~100!',
total=0,
total_pages=0,
data=[])
req, total = StatisticsDao.get_students_by_score_dao(n, m, score, db)
return ResponseModel1(code=200,
message='查询成功',
total=total,
total_pages=ceil(total / m) if total > 0 else 0,
data=req)
@BasicInformationAPI.get('/scores_no_pass', summary='查询有n门成绩不合格的学生')
def get_students_by_no_pass_api(
n: int = Query(..., description='页码,从1开始', ge=1),
m: int = Query(..., description='每页条数', ge=1),
fail_count: int = Query(..., description='不及格门数', ge=1),
db = Depends(get_db)):
req, total = StatisticsDao.get_student_by_no_pass_dao(n, m, fail_count, db)
return ResponseModel2(code=200,
message='查询成功',
total=total,
total_pages=ceil(total / m) if total > 0 else 0,
data=req)
@BasicInformationAPI.get('/scores_avg', summary='统计每次考试每个班级的平均分(从高到低排序)')
def get_class_exam_avg_api(
n: int = Query(..., description='页码,从1开始', ge=1),
m: int = Query(..., description='每页条数', ge=1),
db = Depends(get_db)):
req, total = StatisticsDao.get_class_exam_avg_score_dao(n, m, db)
return ResponseModel3(code=200,
message='查询成功',
total=total,
total_pages=ceil(total / m) if total > 0 else 0,
data=req)
@BasicInformationAPI.get('/salary_top', summary='查询就业薪资最高的前m名学生')
def get_salary_top_api(
m: int = Query(5, description='查询前m名', ge=1),
db = Depends(get_db)):
req = StatisticsDao.get_salary_top_dao(m, db)
return ResponseModel4(code=200,
message='查询成功',
data=req)
@BasicInformationAPI.get('/time_size', summary='统计每个学生的就业时长(offer下发时间-就业开放时间)')
def get_time_size_api(
n: int = Query(..., description='页码,从1开始', ge=1),
m: int = Query(..., description='每页条数', ge=1),
db = Depends(get_db)):
req, total = StatisticsDao.get_time_size_dao(n, m, db)
return ResponseModel5(code=200,
message='查询成功',
total=total,
total_pages=ceil(total / m) if total > 0 else 0,
data=req)
@BasicInformationAPI.get('/class_avg_time_size', summary='统计每个班级的平均就业时长(只统计进入就业阶段的学生)')
def get_class_avg_time_size_api(
n: int = Query(..., description='页码,从1开始', ge=1),
m: int = Query(..., description='每页条数', ge=1),
db = Depends(get_db)):
req, total = StatisticsDao.get_class_avg_time_size_dao(n, m, db)
return ResponseModel6(code=200,
message='查询成功',
total=total,
total_pages=ceil(total / m) if total > 0 else 0,
data=req)