mrz

PythonProject/dao/statistics_dao.py

@@ -1,7 +1,6 @@
-from fastapi import HTTPException,Depends
+from fastapi import HTTPException
 from sqlalchemy import func
-from model.all_model import Student_Model,WlScore
-from util.database import get_db
+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):
@@ -23,7 +22,8 @@ def select_age(min_age,max_age,db):
 # 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)).group_by(Student_Model.class_id,Student_Model.gender).all()
+        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()
         return l1
     except Exception:
         raise HTTPException(status_code=500,detail="查询异常")
@@ -34,7 +34,8 @@ def select_score(min_score,max_score,db):
         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(Student_Model,WlScore.score,WlScore.score)\
-            .join(WlScore,WlScore.stu_id == Student_Model.stu_id,WlScore.delete_status==0,WlScore.delete_status == 0)
+                .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 min_score is not None:
@@ -45,3 +46,48 @@ def select_score(min_score,max_score,db):
     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(func.avg(WlScore.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(Student_Model,Employment_info.salary)\
+            .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_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")
+