一些更新，详情见下

添加了.gitignore
修改了main.py以匹配最新的问卷
更新了README.md里缺少的依赖库

.gitignore

@@ -0,0 +1 @@
+/test

README.md

@@ -7,4 +7,5 @@
 ## 所需包（已打包在`.exe`中）
 
 - requests
-- pandas
+- pandas
+- openpyxl

main.py

@@ -2,6 +2,7 @@ from pandas import read_excel
 from requests import get
 from sys import exit
 import os
+import numpy as np
 
 def download(url, pic_path_name):
     format_file = url.split(".")[-1].lower()
@@ -14,9 +15,11 @@ def download(url, pic_path_name):
         f.write(result.content)
 
 if __name__ == "__main__":
+    skip_str = ["(空)", "(跳过)", "" ,float('nan')]   #遇到这几种字符串的时候跳过
     dir_path = input("请输入 .xls / .xlsx 文件所在文件夹的绝对或相对路径:")
     for root, _, files in os.walk(dir_path):
         for file in files:
+            print(file.lower())
             if file.lower().endswith('.xls') or file.lower().endswith('.xlsx'):
                 excel_path = os.path.join(root, file)
                 df = read_excel(excel_path)
@@ -24,20 +27,34 @@ if __name__ == "__main__":
                 dir_name = file.split('.')[0]
                 os.mkdir(dir_name)
                 for one in range(len(df)):
-                    path_name = './' + dir_name + '/' + df["3、购买日期"][one] + " 【" + str(df["4、金额"][one]) + "】 " + df["5、物品"][one] + " " + df["1、您的姓名："][one]
+                    path_name = './' + dir_name + '/' + str(df["2、购买日期 格式：年+月+日 如 2025.10.19"][one]) + " 【" + str(df["4、金额"][one]) + "】 " + df["3、购买物品"][one] + " " + df["1、你的姓名"][one]
                     if not os.path.exists(path_name):
                         os.mkdir(path_name)
                     # 处理购买记录截图
-                    buy_prt_sc = df["6、购买记录截图："][one]
-                    if buy_prt_sc != "(跳过)":
-                        download(buy_prt_sc, "./" + path_name + "/购买记录截图")
+                    buy_prt_sc = df["7、订单截图（如淘宝订单截图）"][one]
+                    if buy_prt_sc not in skip_str and isinstance(buy_prt_sc, str):
+                        download(buy_prt_sc, "./" + path_name + "/订单截图")
+                    else:
+                        print(f"第{one + 1}个购买记录截图被跳过")
                     # 处理支付记录截图
-                    pay_prt_sc = df["7、支付记录截图："][one]
-                    if pay_prt_sc != "(跳过)":
+                    pay_prt_sc = df["6、支付记录(如微信支付/支付宝支付记录截图）"][one]
+                    if pay_prt_sc not in skip_str and isinstance(pay_prt_sc, str):
                         download(pay_prt_sc, "./" + path_name + "/支付记录截图")
-                    # 处理发票图片
-                    pdf = df["9、发票图片："][one]
-                    if pdf != "(空)":
-                        download(pdf, "./" + path_name + "/发票图片")
+                    else:
+                        print(f"第{one + 1}个支付截图记录被跳过")
+
+                    # 处理发票
+                    invoice = df["8、发票（注意一定要上传pdf格式！）"][one]
+                    if invoice not in skip_str and isinstance(invoice, str):
+                        download(invoice, "./" + path_name + "/发票")
+                    else:
+                        print(f"第{one + 1}个发票被跳过")
+                    # 处理行程单
+                    itinerary = df["9、电子行程单（pdf）"][one]
+                    if itinerary not in skip_str and isinstance(itinerary, str):
+                        download(itinerary, "./" + path_name + "/行程单")
+                    else:
+                        print(f"第{one + 1}个行程单被跳过")
+
                     print(f"共计{len(df)}, 已完成{one + 1}")
                 print(file + " 处理完毕！")