From 154490d3953eeba9f0921961dbb24ffde15339c8 Mon Sep 17 00:00:00 2001 From: Dawn1Ocean <1785590531@qq.com> Date: Mon, 13 Oct 2025 23:11:25 +0800 Subject: [PATCH] uv support; refactor of utils.py; fix: want_num --- .python-version | 1 + main.py | 6 +- pyproject.toml | 12 ++ solve.py | 14 +- utils.py | 117 ++++++------- uv.lock | 326 +++++++++++++++++++++++++++++++++++++ 问卷星结果_较极端样例.xlsx | Bin 0 -> 26348 bytes 7 files changed, 410 insertions(+), 66 deletions(-) create mode 100644 .python-version create mode 100644 pyproject.toml create mode 100644 uv.lock create mode 100644 问卷星结果_较极端样例.xlsx diff --git a/.python-version b/.python-version new file mode 100644 index 0000000..e4fba21 --- /dev/null +++ b/.python-version @@ -0,0 +1 @@ +3.12 diff --git a/main.py b/main.py index 8db6e47..ca54480 100644 --- a/main.py +++ b/main.py @@ -299,6 +299,8 @@ class MyWidget(QtWidgets.QWidget): min_prefer = min(min_prefer, prefer_num) self.text_solve.append(f"\t所有班次中最少拥有意愿数：{min_prefer}") + vars = [] + if self._auto_mode: self.text_solve.append(f"自动调参开始...") @@ -475,7 +477,7 @@ class MyWidget(QtWidgets.QWidget): self.text_solve.append("参数：") self.text_solve.append(f"\t每班人数：[{num_min}, {num_max}]") self.text_solve.append(f"\t每班电脑或电器的老人数：[{tech_old_min_num}, {tech_old_max_num}]") - self.text_solve.append(f"\t每班老人数：[{_num_old_min}, {num_old_max}]") + self.text_solve.append(f"\t每班老人数：[{num_old_min}, {num_old_max}]") self.text_solve.append(f"\t每班人资部小朋友数：[{num_hr_min}, {num_hr_max}]") self.text_solve.append(f"\t每班小朋友数：[{num_new_min}, inf]") @@ -509,7 +511,7 @@ class MyWidget(QtWidgets.QWidget): time_str = datetime.now().strftime('%Y%m%d_%H%M%S') save_dir = f"result_{time_str}.xlsx" if vars is not None: - save_to_excel(vars, all_data, index_to_name_dict, preference_mat, save_dir) + save_to_excel(vars, all_data, index_to_name_dict, save_dir) self.text_solve.append(f"保存结果成功！保存路径：{save_dir}") except Exception as e: self.text_solve.append("程序出现严重错误，请联系开发者解决问题！！！") diff --git a/pyproject.toml b/pyproject.toml new file mode 100644 index 0000000..8936f77 --- /dev/null +++ b/pyproject.toml @@ -0,0 +1,12 @@ +[project] +name = "eva-duty-arrange-tool" +version = "0.1.0" +description = "Add your description here" +readme = "README.md" +requires-python = ">=3.12" +dependencies = [ + "openpyxl>=3.1.5", + "ortools>=9.14.6206", + "pandas>=2.3.3", + "pyside6>=6.10.0", +] diff --git a/solve.py b/solve.py index 61e3fc7..0396587 100644 --- a/solve.py +++ b/solve.py @@ -1,6 +1,4 @@ -from ortools.sat.python import cp_model from ortools.linear_solver import pywraplp -from utils import read_excel, save_to_excel def solve_program(preference_mat:list, want_num_array:list, @@ -33,7 +31,7 @@ def solve_program(preference_mat:list, avg_num = sum(want_num_array) / M # 每班次的平均人数 print(f"平均人数：{avg_num}") - variables = [] + variables = [] aux_vars = [] # 辅助变量 infinity = solver.infinity() for i in range(N): @@ -55,12 +53,16 @@ def solve_program(preference_mat:list, # 辅助变量添加约束： for j in range(M): actual_num = sum(variables[i][j] for i in range(N)) # 每班次的实际人数 - solver.Add(aux_vars[j] >= actual_num-avg_num) - solver.Add(aux_vars[j] >= avg_num-actual_num) + solver.Add(aux_vars[j] >= actual_num - avg_num) + solver.Add(aux_vars[j] >= avg_num - actual_num) # 添加约束：满足每位同学的意愿班次 for i in range(N): - solver.Add(sum(variables[i]) == want_num_array[i]) + if want_num_array[i] == 3: + solver.Add(sum(variables[i]) <= 3) + solver.Add(sum(variables[i]) >= 2) + else: + solver.Add(sum(variables[i]) == want_num_array[i]) # 添加约束：每个班次至少有？位同学 if num_min is not None: diff --git a/utils.py b/utils.py index 3ac0743..b330b93 100644 --- a/utils.py +++ b/utils.py @@ -2,6 +2,21 @@ import pandas as pd from datetime import datetime import random +# 对于表格每一列： +# i = 1 -> 时间戳 +# i = 6 -> 姓名 +# i = 7 -> 部门编号 +# i = 8 -> 老人 / 小朋友 +# i = 9~28 -> 共 20 个班次，每个班次的意愿度 +# i = 29 -> 想要值班的次数 +col_timestamp = 1 +col_name = 6 +col_department = 7 +col_member = 8 +col_dutystart = 9 +col_dutyend = 28 +col_dutyfreq = 29 + index_to_departments = { # 部门编号和部门名称的对应关系 1: "电脑部", 2: "电器部", @@ -10,7 +25,7 @@ index_to_departments = { # 部门编号和部门名称的对应关系 5: "文宣部" } -index_to_type = { # 老人/小朋友和对应的编号 +index_to_type = { # 老人 / 小朋友和对应的编号 1: "老人", 2: "小朋友" } @@ -19,62 +34,47 @@ def read_excel(file_path): # 读取 Excel 文件 df = pd.read_excel(file_path) - # 待返回的所有信息。下令 N 为学生人数，M 为班次数 + # 待返回的所有信息。N 为学生人数，M 为班次数 index_to_name_dict = {} # 长度为 N 的字典，包含数组下标和学生姓名的对应关系 preference_mat = [] # N x M 的二维数组，表示每位学生对每个班次的满意度 want_num_array = [] # 长度为 N 的数组，表示每位学生想要值班的次数 is_new_array = [] # 长度为 N 的数组，表示每位学生是否是小朋友 - is_tech_array = [] # 长度为 N 的数组，表示每位学生是否是电脑部或电器部成员 + is_tech_array = [] # 长度为 N 的数组，表示每位学生是否是电脑部或电器部成员 is_hr_array = [] # 长度为 N 的数组，表示每位学生是否是人资部成员 ''' - 遍历每一行，对于每一行： - i=1 -> 时间戳 - i=6 -> 姓名 - i=7 -> 部门编号 - i=8 -> 老人/小朋友 - i=9~28 -> 共20个班次，每个班次的意愿度 - i=29 -> 想要值班的次数 - 考虑到原始填表信息中可能有某位同学多次提交的记录，先过滤一下冗余信息 ''' all_data = {} # 储存过滤后的数据 + format = "%Y/%m/%d %H:%M:%S" for index, row in df.iterrows(): # 读取学生姓名，比较时间戳 - name = row[6] - format = "%Y/%m/%d %H:%M:%S" - time_this = datetime.strptime(row[1], format) - if (name not in all_data) or (time_this > datetime.strptime(all_data[name][1], format)): - info_list = df.iloc[index].tolist() + name = row[col_name] + time_this = datetime.strptime(row[col_timestamp], format) + if (name not in all_data) or (time_this > datetime.strptime(all_data[name][col_timestamp], format)): + info_list = row.tolist() all_data[name] = info_list # 遍历过滤后的数据，组建待返回的信息 for index, (name, info_list) in enumerate(all_data.items()): # 学生姓名 index_to_name_dict[index] = name - # 意愿度 - preference = info_list[9:29] - preference_mat.append(preference) - + preference_mat.append(info_list[col_dutystart:col_dutyend + 1]) # 想要值班的次数 - want_num = info_list[29] - want_num_array.append(want_num) - + want_num_array.append(info_list[col_dutyfreq]) # 是否是小朋友 - is_new_array.append(index_to_type[info_list[8]] == "小朋友") - + is_new_array.append(index_to_type[info_list[col_member]] == "小朋友") # 是否是电脑部或电器部成员 - is_tech_array.append(index_to_departments[info_list[7]] in ["电脑部", "电器部"]) - - # 是否是电脑部或电器部成员 - is_hr_array.append(index_to_departments[info_list[7]] == "人资部") + is_tech_array.append(index_to_departments[info_list[col_department]] in ["电脑部", "电器部"]) + # 是否是人资部成员 + is_hr_array.append(index_to_departments[info_list[col_department]] == "人资部") return all_data, index_to_name_dict, preference_mat, want_num_array, is_new_array, is_tech_array, is_hr_array -def save_to_excel(variables, all_data, index_to_name_dict, preference_mat, file_path): +def save_to_excel(variables, all_data, index_to_name_dict, file_path): - # 用一个list储存每一班的值班人员，该list中每个元素是一个存有若干dict的list，每个dict表示某一班的某一值班人员信息 + # 用一个 list 储存每一班的值班人员，该 list 中每个元素是一个存有若干 dict 的 list，每个 dict 表示某一班的某一值班人员信息 all_result = [] max_single_class_num = 0 # 用于记录最大的班次人数，以便后写入 excel for j in range(len(variables[0])): @@ -89,32 +89,32 @@ def save_to_excel(variables, all_data, index_to_name_dict, preference_mat, file_ if variables[i][j] == 1: single_stu_info = {} single_stu_info["name"] = index_to_name_dict[i] - single_stu_info["department"] = all_data[index_to_name_dict[i]][7] - single_stu_info["type"] = all_data[index_to_name_dict[i]][8] - single_stu_info["duty_head"] = False + single_stu_info["department"] = index_to_departments[all_data[index_to_name_dict[i]][col_department]] + single_stu_info["type"] = index_to_type[all_data[index_to_name_dict[i]][col_member]] + single_stu_info["duty_monitor"] = False on_duty_list.append(single_stu_info) single_class_num += 1 all_index.append(_cnt) - if index_to_type[single_stu_info["type"]] == "小朋友": + if single_stu_info["type"] == "小朋友": new_index.append(_cnt) - if single_stu_info["department"] in [3,4,5]: + if single_stu_info["department"] in ["人资部", "财外部", "文宣部"]: none_tech_new_index.append(_cnt) if single_stu_info["department"] == 3: hr_new_index.append(_cnt) _cnt += 1 - # 为每一班的值班人员中的值班组长打上标记 - duty_head_index = -1 + # 为每一班的值班组长打上标记 + duty_monitor_index = -1 if hr_new_index: - duty_head_index = random.choice(hr_new_index) + duty_monitor_index = random.choice(hr_new_index) elif none_tech_new_index: - duty_head_index = random.choice(none_tech_new_index) + duty_monitor_index = random.choice(none_tech_new_index) elif new_index: - duty_head_index = random.choice(new_index) + duty_monitor_index = random.choice(new_index) else: - duty_head_index = random.choice(all_index) - on_duty_list[duty_head_index]["duty_head"] = True + duty_monitor_index = random.choice(all_index) + on_duty_list[duty_monitor_index]["duty_monitor"] = True on_duty_list = sorted(on_duty_list, key=lambda x: x["department"]) # 按部门编号升序排序 all_result.append(on_duty_list) @@ -122,11 +122,13 @@ def save_to_excel(variables, all_data, index_to_name_dict, preference_mat, file_ from openpyxl import Workbook - from openpyxl.styles import Font, Alignment, Border, Side, PatternFill + from openpyxl.styles import PatternFill # 创建一个新的工作簿 wb = Workbook() ws = wb.active + if ws is None: + ws = wb.create_sheet(title="Sheet1") # 写入表头 width = 25 @@ -146,25 +148,24 @@ def save_to_excel(variables, all_data, index_to_name_dict, preference_mat, file_ ws.column_dimensions['H'].width = width start_index = [] - ws.merge_cells(f'A2:A{2+max_single_class_num}') + ws.merge_cells(f'A2:A{2 + max_single_class_num}') ws['A2'] = "第一班" start_index.append(2) - ws.merge_cells(f'A{2+max_single_class_num+1}:A{2+2*max_single_class_num+1}') - ws[f'A{2+max_single_class_num+1}'] = "第二班" - start_index.append(2+max_single_class_num+1) - ws.merge_cells(f'A{2+2*max_single_class_num+2}:A{2+3*max_single_class_num+2}') - ws[f'A{2+2*max_single_class_num+2}'] = "第三班" - start_index.append(2+2*max_single_class_num+2) + ws.merge_cells(f'A{2 + max_single_class_num + 1}:A{2 + 2 * max_single_class_num + 1}') + ws[f'A{2 + max_single_class_num + 1}'] = "第二班" + start_index.append(2 + max_single_class_num + 1) + ws.merge_cells(f'A{2 + 2 * max_single_class_num + 2}:A{2 + 3 * max_single_class_num + 2}') + ws[f'A{2 + 2 * max_single_class_num + 2}'] = "第三班" + start_index.append(2 + 2 * max_single_class_num + 2) for duty_index, duty in enumerate(all_result): for stu_index, stu in enumerate(duty): - col = chr(ord('B')+duty_index//3) - row = start_index[duty_index%3]+stu_index - str_info = f"{stu['name']} {index_to_departments[stu['department']]} {index_to_type[stu['type']]}" - if stu['duty_head']: - ws[col+str(row)].fill = PatternFill(fill_type='solid', start_color='FFFF00', end_color='FFFF00') - ws[col+str(row)] = str_info - + col = chr(ord('B') + duty_index // 3) + row = start_index[duty_index % 3] + stu_index + str_info = f"{stu['name']} {stu['department']} {stu['type']}" + if stu['duty_monitor']: + ws[col + str(row)].fill = PatternFill(fill_type='solid', start_color='FFFF00', end_color='FFFF00') + ws[col + str(row)] = str_info # 保存文件 wb.save(file_path) \ No newline at end of file diff --git a/uv.lock b/uv.lock new file mode 100644 index 0000000..c71e238 --- /dev/null +++ b/uv.lock @@ -0,0 +1,326 @@ 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