105 lines
5.1 KiB
Python
105 lines
5.1 KiB
Python
from fastapi import APIRouter, Depends, Query
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from database import get_db
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from dao.statistics_dao import StatisticsDao
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from schema.statistics_schema import ResponseModel,ResponseModel1,ResponseModel2,ResponseModel3,ResponseModel4,ResponseModel5,ResponseModel6
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from math import ceil
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BasicInformationAPI = APIRouter(tags=['统计分析'])
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@BasicInformationAPI.get('/basic-information',summary='查询年龄区间内的学员信息')
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def get_students_by_age_range_api(
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n:int=Query(..., description='页码，从1开始', ge=1),
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m:int=Query(..., description='每页条数', ge=1),
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min_age: int = Query(..., description='最小年龄', ge=0),
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max_age: int = Query(..., description='最大年龄', le=100),
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db = Depends(get_db)):
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if min_age > max_age:
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return {f'code=400,message=最小年龄不能大于最大年龄'}
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req,total = StatisticsDao.get_students_by_age_range_dao(n,m,min_age, max_age,db)
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return ResponseModel(code=200,
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message='查询成功',
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total=total,
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total_pages=ceil(total/m) if total > 0 else 0,
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data=req)
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@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')
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def get_students_by_class_id_api(class_id:str,
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db = Depends(get_db)):
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total_count , male_count , female_count = StatisticsDao.get_students_by_class_id_dao(class_id,db)
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return {f'code:200,message=查询成功, 全班总人数：{total_count}, 班级男生人数：{male_count}, 班级女生人数：{female_count}'}
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@BasicInformationAPI.get('/scores',summary='在某个分数段的学生')
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def get_students_by_score_api(
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n:int=Query(..., description='页码，从1开始', ge=1),
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m:int=Query(..., description='每页条数', ge=1),
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score:float=Query(ge=0,le=100),
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db = Depends(get_db)):
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if score < 0 or score > 100:
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return {f'code=400,message=分数需要在0~100！'}
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req,total = StatisticsDao.get_students_by_score_dao(n,m,score,db)
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return ResponseModel1(code=200,
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message='查询成功',
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total=total,
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total_pages=ceil(total/m) if total > 0 else 0,
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data=req)
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@BasicInformationAPI.get('/scores_no_pass',summary='查询有n门成绩不合格的学生')
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def get_students_by_no_pass_api(
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n:int=Query(..., description='页码,从1开始', ge=1),
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m:int=Query(..., description='每页条数', ge=1),
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fail_count:int=Query(..., description='不及格门数', ge=1),
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db = Depends(get_db)):
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req,total = StatisticsDao.get_student_by_no_pass_dao(n,m,fail_count,db)
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return ResponseModel2(code=200,
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message='查询成功',
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total=total,
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total_pages=ceil(total/m) if total > 0 else 0,
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data=req)
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@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）')
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def get_class_exam_avg_api(
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n:int=Query(..., description='页码,从1开始', ge=1),
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m:int=Query(..., description='每页条数', ge=1),
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db = Depends(get_db)):
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req,total = StatisticsDao.get_class_exam_avg_score_dao(n,m,db)
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return ResponseModel3(code=200,
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message='查询成功',
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total=total,
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total_pages=ceil(total/m) if total > 0 else 0,
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data=req)
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@BasicInformationAPI.get('/salary_top', summary='查询就业薪资最高的前五名学生')
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def get_salary_top_api(
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m:int=Query(5, description='查询前m名', ge=1),
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db = Depends(get_db)):
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req = StatisticsDao.get_salary_top_dao(m,db)
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return ResponseModel4(code=200,
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message='查询成功',
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data=req)
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@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）')
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def get_time_size_api(
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n:int=Query(..., description='页码,从1开始', ge=1),
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m:int=Query(..., description='每页条数', ge=1),
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db = Depends(get_db)):
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req,total = StatisticsDao.get_time_size_dao(n,m,db)
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return ResponseModel5(code=200,
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message='查询成功',
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total=total,
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total_pages=ceil(total/m) if total > 0 else 0,
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data=req)
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@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）')
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def get_class_avg_time_size_api(
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n:int=Query(..., description='页码,从1开始', ge=1),
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m:int=Query(..., description='每页条数', ge=1),
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db = Depends(get_db)):
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req,total = StatisticsDao.get_class_avg_time_size_dao(n,m,db)
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return ResponseModel6(code=200,
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message='查询成功',
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total=total,
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total_pages=ceil(total/m) if total > 0 else 0,
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data=req) |