2026-09-22 16:38:38 +08:00
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# statcalc_api所有统计分析模块的api路由、接口
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from fastapi import APIRouter , Depends , HTTPException
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from StatCalc.dao.statcalc_dao import *
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from StatCalc.schema.statcalc_request import *
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from databases import *
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statcalc_api = APIRouter()
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2026-09-22 21:05:09 +08:00
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@statcalc_api.get("/statcalc/age"
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2026-09-22 16:38:38 +08:00
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,summary='人员信息查询'
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,description=f'查询所有超过30岁的学员的信息。'
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)
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2026-09-22 18:23:13 +08:00
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def get_students(db=Depends(get_db)):
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result = get_age_30( db=db )
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2026-09-22 16:38:38 +08:00
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if result:
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return result
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raise HTTPException(status_code=404, detail="没有找到符合条件的学生")
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2026-09-22 21:05:09 +08:00
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@statcalc_api.get("/statcalc/students"
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2026-09-22 16:38:38 +08:00
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,summary='人数统计'
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,description=f'统计每个班级的人数以及男生女生的人数。'
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)
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2026-09-22 21:05:09 +08:00
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def get_students(headcount:get_student_dao
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2026-09-22 19:04:39 +08:00
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,db=Depends(get_db)
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):
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2026-09-22 21:05:09 +08:00
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result = get_class_count( g=headcount , db=db )
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2026-09-22 16:38:38 +08:00
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if result:
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return result
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raise HTTPException(status_code=404, detail="没有找到符合条件的学生")
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2026-09-22 21:05:09 +08:00
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@statcalc_api.get("/statcalc/scores"
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2026-09-23 04:27:31 +08:00
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,summary='优秀成绩学生信息查询'
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,description=f'查询所有科目考试成绩都在80分以上的学生。'
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)
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2026-09-23 04:27:31 +08:00
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def get_excellent(db=Depends(get_db)):
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result = get_excellent_students( db=db )
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2026-09-22 16:38:38 +08:00
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if result:
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return result
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raise HTTPException(status_code=404, detail="没有找到符合条件的学生")
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2026-09-22 21:05:09 +08:00
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@statcalc_api.get("/statcalc/fail"
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2026-09-22 16:38:38 +08:00
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,summary='不及格成绩查询'
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,description=f'查询有两次以上不及格的学生的姓名,班级和不及格成绩。'
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)
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2026-09-22 20:28:02 +08:00
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def get_students( db=Depends(get_db) ):
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result = get_score_80( db=db )
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2026-09-22 16:38:38 +08:00
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if result:
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return result
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raise HTTPException(status_code=404, detail="没有找到符合条件的学生")
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2026-09-22 21:05:09 +08:00
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@statcalc_api.get('/statcalc/average', summary='统计每次考试每个班级的平均分')
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def get_class_avg(db=Depends(get_db)):
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result = get_class_avg_dao(db)
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if not result:
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return []
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return result
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2026-09-22 16:38:38 +08:00
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2026-09-22 20:28:02 +08:00
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from stu_jiuye.model import *
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2026-09-23 04:27:31 +08:00
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from students.model.students_model import Students
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from class_management.model.class_management_model import ClassInfo
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2026-09-22 16:38:38 +08:00
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2026-09-22 21:05:09 +08:00
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@statcalc_api.get('/statcalc/top',summary='就业薪资Top5')
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2026-09-22 17:02:59 +08:00
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def salarytop5(db=Depends(get_db)):
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q = db.query(Employments, Company.employment_company, Students.name.label('sname'), ClassInfo.name.label('class_num')) \
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.join(Company, Employments.company_id == Company.id) \
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.join(Students, Employments.stuid == Students.id) \
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.join(ClassInfo, Employments.class_id == ClassInfo.id) \
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.filter(Employments.is_deleted == 0) \
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.order_by(Employments.employment_salary.desc()) \
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.limit(5).all()
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# q是4元组 (Employments对象, company_name, sname, class_num)
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return [{'学生姓名': row[2], '学生班级编号': row[3], '就业时间': str(row[0].offer_recived_time) if row[0].offer_recived_time else None, '公司': row[1]} for row in q]
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2026-09-22 16:38:38 +08:00
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2026-09-22 21:05:09 +08:00
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@statcalc_api.get('/statcalc/job',summary='学生就业时长')
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2026-09-22 17:02:59 +08:00
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def worktime(db=Depends(get_db)):
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q = db.query(Employments, Students.name.label('sname')) \
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.join(Students, Employments.stuid == Students.id) \
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.filter(Employments.is_deleted == 0) \
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.all()
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2026-09-22 17:02:59 +08:00
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2026-09-22 20:28:02 +08:00
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return [
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{'学生姓名': row[1],
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'就业时常':f'{row[0].offer_recived_time-row[0].employment_open_time}'
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if row[0].offer_recived_time and row[0].employment_open_time else '暂无数据'} for row in q
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]
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2026-09-22 17:02:59 +08:00
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2026-09-22 21:05:09 +08:00
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@statcalc_api.get('/statcalc/avgjob',summary='学生平均就业时长')
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def avgworktime(db=Depends(get_db)):
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q = db.query(Employments) \
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.filter(Employments.employment_open_time.isnot(None)
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,Employments.offer_recived_time.isnot(None)
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,Employments.is_deleted==0) \
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.all()
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if not q:
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return {'平均就业时常': '暂无数据'}
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total = sum((i.offer_recived_time - i.employment_open_time).total_seconds() for i in q)
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avg_days=total /len(q)/86400 #一天86400秒
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return {
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'人数': len(q),
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'平均就业时常(天)': round(avg_days, 2)
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}
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2026-09-22 20:28:02 +08:00
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