138 lines
5.4 KiB
Python
138 lines
5.4 KiB
Python
import pandas as pd
|
||
from datetime import datetime
|
||
|
||
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",
|
||
3: "人资部",
|
||
4: "财外部",
|
||
5: "文宣部"
|
||
}
|
||
|
||
index_to_type = { # 老人/小朋友和对应的编号
|
||
1: "老人",
|
||
2: "小朋友"
|
||
}
|
||
|
||
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
|
||
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
|
||
|
||
'''
|
||
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
|
||
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()
|
||
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)
|
||
|
||
# 想要值班的次数
|
||
want_num = info_list[29]
|
||
want_num_array.append(want_num)
|
||
|
||
# 是否是小朋友
|
||
is_new_array.append(index_to_type[info_list[8]] == "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"])
|
||
|
||
return all_data, index_to_name_dict, preference_mat, want_num_array, is_new_array, is_tech_array
|
||
|
||
def save_to_excel(variables, all_data, index_to_name_dict, preference_mat, 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
|
||
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])):
|
||
on_duty_list = []
|
||
single_class_num = 0
|
||
for i in range(len(variables)):
|
||
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["adjust"] = preference_mat[i][j] <= 0
|
||
on_duty_list.append(single_stu_info)
|
||
single_class_num += 1
|
||
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)
|
||
max_single_class_num = max(max_single_class_num, single_class_num)
|
||
|
||
|
||
from openpyxl import Workbook
|
||
from openpyxl.styles import Font, Alignment, Border, Side, PatternFill
|
||
|
||
# 创建一个新的工作簿
|
||
wb = Workbook()
|
||
ws = wb.active
|
||
|
||
# 写入表头
|
||
width = 25
|
||
ws['B1'] = "星期一"
|
||
ws.column_dimensions['B'].width = width
|
||
ws['C1'] = "星期二"
|
||
ws.column_dimensions['C'].width = width
|
||
ws['D1'] = "星期三"
|
||
ws.column_dimensions['D'].width = width
|
||
ws['E1'] = "星期四"
|
||
ws.column_dimensions['E'].width = width
|
||
ws['F1'] = "星期五"
|
||
ws.column_dimensions['F'].width = width
|
||
ws['G1'] = "星期六"
|
||
ws.column_dimensions['G'].width = width
|
||
ws['H1'] = "星期日"
|
||
ws.column_dimensions['H'].width = width
|
||
|
||
start_index = []
|
||
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)
|
||
|
||
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['adjust']:
|
||
ws[col+str(row)].fill = PatternFill(fill_type='solid', start_color='FF0000', end_color='FF0000')
|
||
ws[col+str(row)] = str_info
|
||
|
||
|
||
# 保存文件
|
||
wb.save(file_path) |