回传数据解析，兼容v5和v10

shopper.py

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+# -*- coding: utf-8 -*-
+"""
+Created on Tue Dec 17 10:45:10 2024
+
+@author: ym
+"""
+import os
+import numpy as np
+import pandas as pd
+from pathlib import Path
+
+
+
+
+
+xpath = r"\\192.168.1.28\share\模型\部署相关\永辉金源广场店商品信息.xlsx"
+xroot, xfilename = os.path.split(xpath)
+xfile, ext = os.path.splitext(xfilename)
+spath = os.path.join(xroot, xfile+'_diff.xlsx')
+
+
+df = pd.read_excel(xpath)
+barcodes = df["商品条码"].tolist()
+names_caojq = df["商品名称"].tolist()
+
+stdpath = r"\\192.168.1.28\share\数据\已完成数据\比对数据\barcode\all_totalBarocde\totalBarcode"
+
+stdpath = Path(stdpath)
+stdBarcodes = [int(f.stem) for f in stdpath.iterdir() if f.is_dir() and f.stem.isdigit() and len(f.stem)>=8]
+
+
+barcodes_s = set(barcodes)
+stdBarcodes_s = set(stdBarcodes)
+
+A = barcodes_s - stdBarcodes_s
+
+record_bcd, record_name = [], []
+for bcd in A:
+    if np.isnan(bcd): continue
+    try:
+        index = barcodes.index(bcd)
+        name = names_caojq[index]
+        
+        record_bcd.append(bcd)
+        record_name.append(name)
+    except ValueError:
+        print(f"元素 {bcd} 不在列表中")
+        
+df_save = pd.DataFrame({
+    '商品条码': record_bcd,
+    '商品名称': record_name
+})
+
+df.to_excel(spath, index=False)
+
+print("Done")
+    
+
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+    
+