第五版_完整
This commit is contained in:
jianqi
+49
-19
@@ -20,7 +20,9 @@ class StatisticsDao:
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@staticmethod
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def get_class_gender_distribution(db: Session) -> List[ClassGenderDistributionItem]:
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"""
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**多维度班级统计**：统计每个班级的总人数，以及按性别（男、女）细分的人数分布。
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"""
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all_cls_gender_stats = (
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db.query(
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StuInfo.cls_id.label("cls_id"),
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@@ -38,12 +40,16 @@ class StatisticsDao:
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total_cnt=i.total_cnt,
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man_cnt=i.man_cnt,
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female_cnt=i.female_cnt,
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) for i in all_cls_gender_stats
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)
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for i in all_cls_gender_stats
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]
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# 查询每次考试成绩都在输入分数线（如80分）以上的学生的编号、姓名和成绩。
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@staticmethod
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def get_stu_info_all_exams_above_score(db: Session, score: float) -> List[StuInfoAllExamAboveScore]:
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"""
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# 查询每次考试成绩都在输入分数线（如80分）以上的学生的编号、姓名和成绩 -- 参数: 分数
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"""
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stu_id_list_query = (
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db.query(StuScore.stu_id)
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.filter(StuScore.is_deleted == 0)
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@@ -87,7 +93,11 @@ class StatisticsDao:
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@staticmethod
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def get_stu_dict_who_fail(db: Session) -> Dict[str, List[StuScore]]:
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"""
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获取不及格的学生信息 {stu_id, [StuScore]}
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"""
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stu_fail_dict = defaultdict(list)
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data = (db.query(StuScore)
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.options(joinedload(StuScore.student)) # 预加载模式： 让 SQLAlchemy 在第一次查成绩表时，通过 JOIN 语句一次性把学生信息查出来。
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.filter(and_(StuScore.is_deleted == 0, StuScore.exam_score <= 60))
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@@ -98,7 +108,14 @@ class StatisticsDao:
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@staticmethod
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def find_students_fail_count(db: Session, fail_cnt: int) -> List[FailingStudentItem]:
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test_max_cnt = len(db.query(StuScore.exam_attempt).group_by(StuScore.exam_attempt).all())
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"""
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# 2、查询有输入指定次数（如两次）以上不及格的学生的姓名、班级和不及格成绩明细 -- 参数: 不及格次数
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"""
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test_max_cnt = len(db.query(StuScore.exam_attempt)
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.filter(StuScore.is_deleted == 0)
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.group_by(StuScore.exam_attempt)
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.all()
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)
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if fail_cnt > test_max_cnt:
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raise HTTPException(status_code = 400, detail = f'最大次数为{test_max_cnt}')
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@@ -131,9 +148,12 @@ class StatisticsDao:
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# 统计每次考试每个班级的平均分，并支持按分数从高到低或从低到高动态排序。
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@staticmethod
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def find_class_exam_averages(db: Session, order_choose: int) -> List[ClassExamAvgScoreItem]:
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"""
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# 统计每次考试每个班级的平均分，并支持按分数从高到低或从低到高动态排序 -- 参数: 1:低到高, 2:高到低
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"""
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avg_score = func.avg(StuScore.exam_score)
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order_score = asc(avg_score) if order_choose == 1 else desc(avg_score)
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aaa = (db.query(
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finally_data = (db.query(
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StuInfo.cls_id,
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StuScore.exam_attempt,
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func.avg(StuScore.exam_score).label("avg_score"),
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@@ -146,7 +166,7 @@ class StatisticsDao:
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# 班级 - 考试场次 - 平均分
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ans = []
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for row in aaa:
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for row in finally_data:
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ans.append(
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ClassExamAvgScoreItem(
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exam_attempt=row.exam_attempt,
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@@ -160,17 +180,20 @@ class StatisticsDao:
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@staticmethod
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def find_top_salary_students(db: Session, top_n: int) -> List[TopSalaryStudentItem]:
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aaa = (db.query(
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"""
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# 1、统计就业薪资排名 Top N（动态输入 N）的学生的姓名、班级、就业时间和就业公司。 -- 参数: top_N
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"""
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finally_data = (db.query(
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StudentEmployManage.send_offer_time,
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StudentEmployManage.emp_company,
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StudentEmployManage.salary,
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StuInfo.name,
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StuInfo.cls_id
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).join(StuInfo, StuInfo.id == StudentEmployManage.stu_id)
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.filter(StudentEmployManage.is_deleted == 0, StudentEmployManage.is_deleted == 0)
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.order_by(StudentEmployManage.salary.desc())
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.limit(top_n)
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)
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.filter(StudentEmployManage.is_deleted == 0, StudentEmployManage.is_deleted == 0)
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.order_by(StudentEmployManage.salary.desc())
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.limit(top_n)
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)
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ans = [
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TopSalaryStudentItem(
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@@ -180,26 +203,30 @@ class StatisticsDao:
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emp_company_name=row.emp_company,
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salary=row.salary
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)
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for row in aaa
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for row in finally_data
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]
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return ans
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@staticmethod
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def find_students_employment_duration(db: Session) -> List[StudentEmpDurationItem]:
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"""
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# 2、统计每个学生的就业时长（计算公式：offer下发时间 - 就业开放时间） -- 参数: 无
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"""
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time = func.datediff(StudentEmployManage.send_offer_time, StudentEmployManage.emp_open_time)
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aaa = (db.query(
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finally_data = (db.query(
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StuInfo.id,
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StuInfo.cls_id,
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StuInfo.name,
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time.label("time")
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).join(StudentEmployManage, StuInfo.id == StudentEmployManage.stu_id)
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.filter(StuInfo.is_deleted == 0,
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StuInfo.is_deleted == 0,
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StudentEmployManage.send_offer_time.isnot(None),
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StudentEmployManage.emp_open_time.isnot(None))
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.order_by(time).all()
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)
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.filter(StuInfo.is_deleted == 0,
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StudentEmployManage.is_deleted == 0,
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StudentEmployManage.send_offer_time.isnot(None),
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StudentEmployManage.emp_open_time.isnot(None))
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.order_by(time).all()
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)
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ans = [
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StudentEmpDurationItem(
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@@ -208,13 +235,16 @@ class StatisticsDao:
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cls_id=row.cls_id,
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offer_time=row.time
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)
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for row in aaa
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for row in finally_data
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]
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return ans
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@staticmethod
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def find_class_avg_employment_duration(db: Session) -> List[ClassAvgEmpDurationItem]:
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"""
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# 3、统计每个班级的平均就业时长（仅统计进入就业阶段，即有就业开放时间的学生） -- 参数: 无<br>
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"""
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duration_time = func.datediff(StudentEmployManage.send_offer_time, StudentEmployManage.emp_open_time)
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class_avg_query = (db.query(
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StuInfo.cls_id,
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