AI_product_Description/module.py

import json
import pandas as pd

def save_json(file_path, data):
    with open(file_path, 'w', encoding='utf-8') as json_file:
        json.dump(data, json_file, ensure_ascii=False, indent=4)

def update_excel_from_json(json_file_path, excel_file_path):
    # 读取 JSON 文件
    with open(json_file_path, 'r', encoding='utf-8') as json_file:
        json_data = json.load(json_file)

    # 读取 Excel 文件
    df = pd.read_excel(excel_file_path)
    item = json_data

    product_code = item.get("货号")  # 获取“货号”
    # 查找所有匹配的行索引
    matching_rows = df[df['商品编码'] == product_code].index  # 获取所有匹配行号
    if not matching_rows.empty:  # 检查是否有匹配的行
        for row_index in matching_rows:  # 遍历所有匹配的行
            # 将其余字段的值写入到对应行的末尾
            for key, value in item.items():
                if key != "货号" and key != "色号" and key != "价格" and key != "成分":  # 排除“货号”字段
                    df.at[row_index, key] = value

    # 保存更新后的 Excel 文件
    df.to_excel(excel_file_path, index=False)
    print("数据已成功更新到 Excel 文件。")