100 lines
3.4 KiB
Python
100 lines
3.4 KiB
Python
from pygments.lexers import sql
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from sqlalchemy import *
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from students.model.students_model import Students
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def get_age_30( age , db):
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q = db.query(Students).filter(Students.age>=age).all()
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return q
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from class_management.model.class_management_model import ClassInfo
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def get_class_count(g , db):
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if g == "班级人数":
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q = (db.query(ClassInfo.id,ClassInfo.name,func.count(ClassInfo.id).label('count') )
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.join(Students,Students.class_id==ClassInfo.id)
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.group_by(ClassInfo.id,ClassInfo.name,Students.sex)
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.all())
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elif g == "男女人数":
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q = (db.query(Students.sex, func.count(Students.id).label('count'))
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.group_by(Students.sex)
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.all())
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elif g == "班级中男女人数":
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q = (db.query(ClassInfo.id,ClassInfo.name,Students.sex,func.count(ClassInfo.id).label('count') )
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.join(Students,Students.class_id==ClassInfo.id)
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.group_by(ClassInfo.id,ClassInfo.name,Students.sex)
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.all())
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else:
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return False
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return [row._asdict() for row in q]
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from scores.model.score_model import Score
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def get_excellent_students(sco,db):
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"""查询所有科目都在80分以上的优秀学生"""
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# 先查总科目数
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total_subjects = db.execute(text("SELECT COUNT(*) FROM subject")).scalar()
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# 子查询：找出成绩>=80分的科目数等于总科目数的学生
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sq = db.query(Students.id) \
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.join(Score, Score.sid == Students.id) \
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.filter(Score.score >= sco) \
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.group_by(Students.id) \
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.having(func.count(Score.id) == total_subjects) \
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.subquery()
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# 主查询：返回优秀学生信息
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q = db.query(Students.id, Students.name, ClassInfo.name.label('class_name'), Score.score) \
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.join(ClassInfo, ClassInfo.id == Students.class_id) \
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.join(Score, Score.sid == Students.id) \
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.filter(Students.id.in_(sq.select()), Score.score >= sco) \
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.all()
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return [row._asdict() for row in q]
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from scores.model.score_model import Score
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def get_score_60(sco ,db):
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"""查询有两次以上不及格(<60分)的学生"""
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# 子查询：找出不及格超过2门的学生ID
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sq = db.query(Students.id) \
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.join(Score, Score.sid == Students.id) \
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.filter(Score.score < sco) \
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.group_by(Students.id) \
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.having(func.count(Score.id) > 2) \
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.subquery()
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# 主查询：返回不及格学生信息
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q = db.query(Students.name, ClassInfo.name.label('class_name'), Score.score) \
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.join(ClassInfo, ClassInfo.id == Students.class_id) \
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.join(Score, Score.sid == Students.id) \
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.filter(Students.id.in_(sq.select()), Score.score < sco) \
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.all()
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return [row._asdict() for row in q]
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def get_class_avg_dao(class_id , db):
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results = (db.query(Score.num,
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Score.cid,
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ClassInfo.name.label("class_name"),
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func.avg(Score.score).label("avg_score"))
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.join(ClassInfo, Score.cid == ClassInfo.id)
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.filter(Score.is_deleted == 0)
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.group_by(Score.num, Score.cid, ClassInfo.name,ClassInfo.id)
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.having(ClassInfo.id == class_id)
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.order_by(func.avg(Score.score).desc())
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.all())
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return [ {"num": r.num,
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"cid": r.cid,
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"class_name": r.class_name,
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"avg_score": round(float(r.avg_score), 2),}
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for r in results]
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