Files
SST/PythonProject/dao/statistics_dao.py
T
2026-09-22 11:49:44 +08:00

141 lines
5.8 KiB
Python

from fastapi import HTTPException
from sqlalchemy import func
from model.all_model import Student_Model,WlScore,Employment_info
# 实现根据年龄查询学生信息的功能
def select_age(min_age,max_age,db):
try:
if min_age is None and max_age is None:
raise HTTPException(status_code=400, detail="请至少传入一个参数")
db = db.query(Student_Model)
if min_age is not None:
db = db.filter(Student_Model.age >= min_age,Student_Model.delete_status == 0)
if max_age is not None:
db = db.filter(Student_Model.age <= max_age,Student_Model.delete_status == 0)
return db.all()
except HTTPException:
raise
except Exception:
raise HTTPException(status_code=500,detail="查询异常")
# 实现统计每个班级的学员总数以及男女生的总数的功能
def select_all(db):
try:
l1 = db.query(Student_Model.class_id,Student_Model.gender,func.count(1).label('cnt'))\
.group_by(Student_Model.class_id,Student_Model.gender).all()
all_cnt = sum(i.cnt for i in l1)
l2 = []
for i in l1:
l2.append({
"all_cnt": all_cnt,
"class_id": i.class_id,
"gender": i.gender,
"cnt": i.cnt
})
return l2
except Exception:
raise HTTPException(status_code=500,detail="查询异常")
# 实现根据成绩查询学员信息的功能
def select_score(min_score,max_score,db):
try:
if min_score is None and max_score is None:
raise HTTPException(status_code=400, detail="请至少传入一个参数")
db = db.query(WlScore.score
,Student_Model.stu_name
,Student_Model.age
,Student_Model.gender
,Student_Model.native_place
,Student_Model.school
,Student_Model.major
,Student_Model.degree
,Student_Model.admission_date
,Student_Model.graduation_date
,Student_Model.progress
)\
.join(WlScore,WlScore.stu_id == Student_Model.stu_id)\
.filter(WlScore.delete_status==0,Student_Model.delete_status == 0)
if min_score is not None:
db = db.filter(WlScore.score >= min_score)
if max_score is not None:
db = db.filter(WlScore.score <= max_score)
return db.all()
except HTTPException:
raise
except Exception:
raise HTTPException(status_code=500,detail="查询异常")
# 实现统计每次考试每个班级的平均分并排序的功能
def select_avg_score(db):
try:
l1 = db.query(Student_Model.class_id,func.avg(WlScore.score).label('avg_score'))\
.join(Student_Model,WlScore.stu_id == Student_Model.stu_id)\
.filter(WlScore.delete_status==0,Student_Model.delete_status == 0)\
.group_by(Student_Model.class_id)\
.order_by(func.avg(WlScore.score)).all()
return l1
except Exception:
raise HTTPException(status_code=500,detail="查询异常")
# 实现统计薪资最高的前五名的学员信息
def select_salary(db):
try:
l1 = db.query(Employment_info.salary
,Student_Model.stu_name
,Student_Model.age
,Student_Model.gender
,Student_Model.native_place
,Student_Model.school
,Student_Model.major
,Student_Model.degree
,Student_Model.admission_date
,Student_Model.graduation_date
,Student_Model.progress)\
.join(Employment_info,Employment_info.stu_id==Student_Model.stu_id)\
.filter(Employment_info.delete_status==0,Student_Model.delete_status == 0)\
.order_by(Employment_info.salary.desc())\
.limit(5).all()
return l1
except Exception:
raise HTTPException(status_code=500,detail="查询异常")
# 实现统计每个班级的平均就业时长
def select_avg_days(db):
try:
l1 = db.query(Student_Model.class_id,
func.coalesce(
func.avg(
func.datediff(
Employment_info.offer_issuance_date, Employment_info.employment_opening_date
)
),0).label("avg_days")
).join(Employment_info,Employment_info.stu_id == Student_Model.stu_id)\
.filter(Student_Model.delete_status == 0,
Employment_info.delete_status == 0,
Employment_info.employment_opening_date.isnot(None),
Employment_info.offer_issuance_date.isnot(None),)\
.group_by(Student_Model.class_id)\
.order_by(func.avg(func.datediff(Employment_info.offer_issuance_date,Student_Model.admission_date)).desc()).all()
return l1
except Exception:
raise HTTPException(status_code=500, detail="查询异常")
#统计每个学⽣的就业时⻓
def select_days(db):
try:
l2 =db.query(
Employment_info.stu_id
,Employment_info.employment_opening_date
,Employment_info.offer_issuance_date
,func.datediff(
Employment_info.offer_issuance_date
,Employment_info.employment_opening_date
)
.label("employment_duration_day")
).filter(
Employment_info.delete_status == 0
).all()
return l2
except Exception:
raise HTTPException(status_code=500, detail="查询异常")