From f47ba8d4c283f6ee2fad57c4771478c80c5a6fca Mon Sep 17 00:00:00 2001
From: z_xl <2290782958@qq.com>
Date: Mon, 21 Sep 2026 19:54:33 +0800
Subject: [PATCH] =?UTF-8?q?=E5=88=A0=E9=99=A4=20statistics.py?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

---
 statistics.py | 110 --------------------------------------------------
 1 file changed, 110 deletions(-)
 delete mode 100644 statistics.py

diff --git a/statistics.py b/statistics.py
deleted file mode 100644
index 74618b2..0000000
--- a/statistics.py
+++ /dev/null
@@ -1,110 +0,0 @@
-from typing import List
-
-from fastapi import APIRouter, Depends, HTTPException, Path, Query
-from sqlalchemy.orm import Session
-
-from dao.wl_statistics_dao import StatisticDao
-from database import get_db
-from dao import wl_statistics_dao
-from scheme.wl_statistics_scheme import (AgeCompareOp, ClassAvgEmpTimeOut,
-                                         ClassAvgScoreOut, ClassGenderStatOut,
-                                         EmpTopOut, FailCountModel,
-                                         ScoreOutLine, SortOrder, EmpTimeOut)
-from scheme.wl_student_scheme import StudentOut
-
-router = APIRouter(prefix='/statistics',tags=["统计分析模块"])
-
-
-# ---- 2.6.1.1 动态年龄范围查询 ----
-@router.get(
-    "/students/age",
-    response_model=list[StudentOut],
-    summary="动态年龄范围查询",
-    responses={400: {"description": "查询参数不合法，例如区间查询缺少上界 value2"}},
-)
-def query_age_range(
-    op: AgeCompareOp = Query(AgeCompareOp.gt, description="比较条件：gt/ge/lt/le/eq/between"),
-    value: int = Query(..., description="年龄阈值"),
-    value2: int | None = Query(None, description="年龄上界，仅 op=between 时必填"),
-    db: Session = Depends(get_db),
-):
-    try:
-        return StatisticDao.search_students_by_age(db, op, value, value2)
-    except ValueError as e:
-        raise HTTPException(status_code=400, detail=str(e))
-
-# ---- 2.6.1.2 多维度班级统计 ----
-@router.get(
-    '/classes/count',
-    summary="多维度班级统计",
-    response_model=list[ClassGenderStatOut]
-)
-def query_classes_count(db: Session = Depends(get_db)):
-    return StatisticDao.statistic_classes_count(db)
-
-# 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
-@router.get(
-    '/scores/out_score_line/{score_line}',
-    summary='统计每次超分数线的学生',
-    response_model=list[ScoreOutLine]
-)
-def query_out_score_line(score_line:float,db:Session=Depends(get_db)):
-    return StatisticDao.query_score_by_line(db, score_line)
-
-# 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
-@router.get(
-    '/scores/fail_score/{fail_count}',
-    summary='统计不及格次数超过指定次数的学生信息',
-    response_model=list[FailCountModel]
-)
-def query_info_by_fail_count(fail_count:int,db: Session = Depends(get_db)):
-    return StatisticDao.query_by_fail_count(db,fail_count)
-
-# 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
-@router.get(
-    '/scores/get_class_avg_score',
-    summary='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',
-    response_model=list[ClassAvgScoreOut]
-)
-def get_class_avg_score(
-    sort_order: SortOrder | None = Query(
-        None, description="排序方向：asc 从低到高，desc 从高到低；不传则按班级+考试序次"),
-    db: Session = Depends(get_db),
-):
-    return StatisticDao.get_class_avg_score(db, sort_order)
-
-# 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
-@router.get(
-    '/emp/top_rank/{rank}',
-    summary='统计就业薪资排名Top N',
-    response_model=list[EmpTopOut]
-)
-def get_top_rank(
-    rank: int = Path(..., gt=0, description="取薪资排名前 N 名"),
-    db: Session = Depends(get_db),
-):
-    return StatisticDao.get_info_by_rank(db, rank)
-
-# 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）
-@router.get(
-    '/emp/emp_time',
-    summary='统计每个学生的就业时长',
-    response_model=list[EmpTimeOut]
-)
-def get_emp_time(db: Session = Depends(get_db)):
-    return StatisticDao.get_emp_time(db)
-
-# 统计每个班级的平均就业时长（仅统计已进入就业阶段且已拿到 offer 的学生）
-@router.get(
-    '/emp/class_avg_emp_time',
-    summary='统计每个班级的平均就业时长',
-    response_model=list[ClassAvgEmpTimeOut]
-)
-def get_class_avg_emp_time(
-    sort_order: SortOrder | None = Query(
-        None, description="排序方向：asc 从低到高，desc 从高到低；不传则按班级编号"),
-    db: Session = Depends(get_db),
-):
-    return StatisticDao.get_class_avg_emp_time(db, sort_order)
-
-