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一 功能: 负责抓取商品数据并写入 Excel 文件。

二 逻辑:

1. 获取总页数。
2. 遍历每一页，获取商品编码和 SKU。
3. 使用多线程获取商品详情。
4. 将数据追加到 Excel 文件中

三 优点

• 多线程处理

  • 使用 ThreadPoolExecutor 提高数据抓取效率，减少等待时间。

• 数据追加

  • 使用 openpyxl 手动追加数据，确保数据不断追加而不覆盖已有内容。

• Base64 编码

  • 将商品详情编码为 Base64 字符串，便于存储复杂数据。

• 调试信息

  • 在关键步骤打印调试信息，便于排查问题

import os
import base64
import json
import time
import requests
import pandas as pd
from concurrent.futures import ThreadPoolExecutor, as_completedfrom openpyxl import load_workbook, Workbookdef get_total_pages():data = {"name": None,"sku": None,"current": 1,"limit": 100}headers = {"Authorization": "4399aa4123f24e2c90a272f2dfee79e7","Content-Type": "application/json"}url = 'http://test.api/product_management/list'response = requests.post(url=url, data=json.dumps(data), headers=headers)response_json = response.json()# 假设响应中有一个字段totalPages表示总页数total_pages = response_json["data"]["total"]return total_pagesdef get_product_codes(page):data = {"name": None,"sku": None,"current": page,"limit": 100}headers = {"Authorization": "4399aa4123f24e2c90a272f2dfee79e7","Content-Type": "application/json"}url = 'http://test.api/product_management/list'response = requests.post(url=url, data=json.dumps(data), headers=headers)response_json = response.json()print("response_json======", response_json)# 假设响应中有一个字段products包含商品列表，每个商品有一个字段idproducts = response_json.get('data', {}).get('list', [])print("products======", products)# 提取id和sku，并成对返回product_id_sku_pairs = [(product.get('id'), product.get('sku')) for product in products]print("product_id_sku_pairs======", product_id_sku_pairs)return product_id_sku_pairsdef get_product_details(id):data = {"id": id}headers = {"Authorization": "4399aa4123f24e2c90a272f2dfee79e7","Content-Type": "application/json"}url = 'http://test.api/product_management/detail'response = requests.post(url=url, data=json.dumps(data), headers=headers)response_json = response.json().get('data', {}).get('skuList', [])print("get_product_details======", response_json)return response_jsondef fetch_product_details(product_id, product_sku):product_detail = get_product_details(product_id)# 将product_detail转换为JSON字符串product_detail_str = json.dumps(product_detail, ensure_ascii=False, indent=4)# 对JSON字符串进行Base64编码product_detail_base64 = base64.b64encode(product_detail_str.encode('utf-8')).decode('utf-8')product = {'code': product_id,'sku': product_sku,'product_detail': product_detail_base64}return productdef append_to_excel(data_list, output_path):"""追加数据到Excel文件:param data_list: 要追加的数据列表，每个元素是字典格式，例如 [{'code': 'A001', 'sku': 'SKU001', ...}]:param output_path: Excel文件路径"""if not data_list:return# 加载或创建工作簿if os.path.exists(output_path):book = load_workbook(output_path)sheet = book["Sheet1"]write_header = False  # 文件已存在，不写表头else:book = Workbook()book.remove(book.active)  # 删除默认创建的空表sheet = book.create_sheet("Sheet1")write_header = True  # 新文件需要写表头# 写入表头if write_header:headers = list(data_list[0].keys())sheet.append(headers)# 追加数据for data in data_list:row = [data.get(key, "") for key in data_list[0].keys()]sheet.append(row)# 保存文件book.save(output_path)def Product_Detail():total_pages = int(get_total_pages())output_path = 'D:\\product_details_1.xlsx'with ThreadPoolExecutor(max_workers=10) as executor:for page in range(1, total_pages + 1):print(f"正在处理第 {page} 页")product_id_sku_pairs = get_product_codes(page)futures = []for product_id, product_sku in product_id_sku_pairs:futures.append(executor.submit(fetch_product_details, product_id, product_sku))all_product_details = []for future in as_completed(futures):try:product = future.result()print("成功获取数据：", product)  # 调试信息all_product_details.append(product)except Exception as e:print(f"请求出错: {e}")# 调用追加写入方法append_to_excel(all_product_details, output_path)print("商品详情已写入 product_details_1.xlsx")Product_Detail()