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)