136 lines
5.2 KiB
Python
136 lines
5.2 KiB
Python
from fastapi import HTTPException
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from model.classinfo import ClassInfo
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from model.employment import Employment
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from model.score import Score
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from model.student import Student
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from sqlalchemy.orm import Session
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from sqlalchemy import case, func, text, and_
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def analysis_student_age(db: Session, min_age: int | None = None, max_age: int | None = None):
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#按年龄区间（>=min 且 <=max）查询学生，区间可缺省。
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if min_age is not None and min_age < 0:
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raise HTTPException(status_code=400, detail="最小年龄不能小于0")
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elif min_age is not None and max_age is not None and min_age > max_age:
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raise HTTPException(status_code=400, detail="最小年龄不能大于最大年龄")
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elif min_age is None and max_age is None :
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data_age= db.query(Student).all()
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elif min_age is not None and max_age is None:
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data_age = db.query(Student).filter(Student.age >= min_age).all()
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elif max_age is not None and min_age is None:
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data_age = db.query(Student).filter(Student.age <= max_age).all()
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elif min_age is not None and max_age is not None:
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data_age = db.query(Student).filter(and_(Student.age >= min_age, Student.age <= max_age)).all()
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return data_age
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def analysis_class_gender(db: Session):
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#每个班级总人数及男、女人数。
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data= (db.query(
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Student.class_id,
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func.count(Student.id).label("total"),
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func.sum(case((Student.gender == "男", 1), else_=0)).label("gender_male"),
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func.sum(case((Student.gender == "女", 1), else_=0)).label("gender_female"),
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).group_by(Student.class_id).all())
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return data
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def analysis_score_over(db: Session, score_over: float = 0):
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#每次考试成绩都在分数线以上的学生的编号、姓名和成绩。
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qualified_student_ids = (
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db.query(Score.student_id)
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.group_by(Score.student_id)
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.having(func.min(Score.score) >= score_over)
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)
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data=(
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db.query(Student.id, Student.name, Score.score)
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.join(Score, Student.id == Score.student_id)
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.filter(Student.id.in_(qualified_student_ids))
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.all()
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)
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return data
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def analysis_score_not_qualified(db: Session, not_qualified_count: int = 1):
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#有指定次数以上不及格（<60）的学生的姓名、班级和不及格成绩明细。
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not_qualified_students = (db.query(Score.student_id)
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.filter(Score.score < 60)
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.group_by(Score.student_id)
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.having(func.count(Score.student_id) >= not_qualified_count))
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data=(db.query(Student.id, Student.name, Student.class_id, Score.score)
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.join(Score, Student.id == Score.student_id)
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.filter(Student.id.in_(not_qualified_students), Score.score < 60).all())
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return data
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def analysis_avg_score_order(db: Session, sort_type: str = "asc"):
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#每次考试每个班级的平均分，asc/desc 排序。
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if sort_type not in ("asc", "desc"):
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raise HTTPException(status_code=400, detail="sort 参数只能为 asc 或 desc")
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avg_score = func.avg(Score.score).label("avg_score")
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query = (
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db.query(Score.exam_seq, ClassInfo.class_name, avg_score)
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.join(Student, Score.student_id == Student.id)
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.join(ClassInfo, Student.class_id == ClassInfo.id)
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.group_by(Score.exam_seq, ClassInfo.class_name)
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)
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if sort_type == "asc":
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data = query.order_by(avg_score.asc()).all()
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else:
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data = query.order_by(avg_score.desc()).all()
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return data
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def analysis_employment_salary_order(db: Session, n: int = 1):
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#就业薪资排名 Top N 的学生姓名、班级、就业时间和就业公司
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data=(db.query(
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Student.name,
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Student.class_id,
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Employment.employment_open_time,
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Employment.company_name,
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Employment.salary)
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.join(Employment, Employment.stu_id == Student.id)
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.order_by(Employment.salary.desc()).limit(n).all())
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return data
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def analysis_student_employment_time(db: Session):
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#每个学生的就业时长（offer下发时间 - 就业开放时间，单位秒）。
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data=(
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db.query(
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Employment.stu_id,
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func.timestampdiff(
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text("SECOND"),
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Employment.employment_open_time,
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Employment.offer_time,
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).label("time_diff"),
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)
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.filter(
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Employment.employment_open_time.isnot(None),
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Employment.offer_time.isnot(None),
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)
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.all()
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)
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return data
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def avg_employment_time(db: Session):
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#每个班级的平均就业时长（仅统计有就业开放时间的学生，单位秒）
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return (
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db.query(
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Student.class_id,
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func.avg(
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func.timestampdiff(
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text("SECOND"),
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Employment.employment_open_time,
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Employment.offer_time,
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)
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).label("time_diff"),
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)
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.join(Employment, Employment.stu_id == Student.id)
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.filter(
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Employment.employment_open_time.isnot(None),
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Employment.offer_time.isnot(None),
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)
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.group_by(Student.class_id)
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.all()
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)
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