import json import sys import os import io # sys.stdout.reconfigure(encoding='utf-8') import time import re import traceback from datetime import datetime from DrissionPage import Chromium, ChromiumOptions from collections import defaultdict import requests from amazon.del_brand import AmamzonBase, kill_process from amazon.tool import show_notification,get_shop_info,remove_special_characters,split_currency_values from config import runing_task, runing_shop,base_dir,DELETE_BRAND_API_BASE class ChromeAmzone: mark_name = "亚马逊详情采集" country_info = { "英国": { "url": "https://www.amazon.co.uk/dp/B0CJ8SNXXV", "zip_code": "SW1A 1AA", "mark": "SW1A 1" }, "德国": { "url": "https://www.amazon.de/dp/B0CC8CW9G2?th=1", "zip_code": "10115" }, "法国": { "url": "https://www.amazon.fr/dp/B0FRG1MJ8H?th=1", "zip_code": "75001" }, "西班牙": { "url": "https://www.amazon.es/dp/B08ZXVNYNN", "zip_code": "28001" }, "意大利": { "url": "https://www.amazon.it/dp/B0D1P17T2Q", "zip_code": "20121" } } def __init__(self): """ 杀死当前谷歌浏览器进程，并使用 drissionpage 启动谷歌浏览器，使用系统安装的浏览器默认用户文件夹 """ # 杀死现有的Chrome进程 print("正在关闭现有的chromium浏览器进程...") os.system('taskkill /f /t /im chrome.exe') time.sleep(2) print("正在启动chromium浏览器...") # 配置浏览器选项 co = ChromiumOptions() user_data_path = os.path.join(base_dir, "user_data", "chrome_data") if not os.path.exists(user_data_path): os.makedirs(user_data_path, exist_ok=True) co.set_user_data_path(user_data_path) co.set_local_port(port=19897) self.browser = Chromium(co) self.tab = self.browser.latest_tab print("Chrome浏览器启动成功") def close_init_popup(self): """ 关闭所有的初始化弹窗 """ self.tab.wait.doc_loaded(timeout=60, raise_err=True) footbar = self.tab.eles('xpath://footer[@class="el-dialog__footer"]', timeout=5) if len(footbar) > 0: do_not_remind = footbar[0].eles('xpath:.//input[@class="el-checkbox__original"]') if len(do_not_remind) > 0: do_not_remind[0].check() resume_immediately = footbar[0].eles('xpath:.//button') if len(resume_immediately) > 0: resume_immediately[0].click() self.tab.wait.doc_loaded(timeout=60, raise_err=True) accept_btn = self.tab.eles('xpath://input[@id="sp-cc-accept"]', timeout=5) if len(accept_btn) > 0: accept_btn[0].click() def run(self, country, asin): """ 运行亚马逊详情采集任务 Args: country: 国家名称（如：英国、德国、法国、西班牙、意大利） asin: 亚马逊商品ASIN码 Returns: dict: 包含采集到的数据 """ try: # 验证国家是否支持 if country not in self.country_info: error_msg = f"不支持的国家: {country}，支持的国家有: {list(self.country_info.keys())}" print(error_msg) show_notification(error_msg, "error") return None # 获取国家配置 country_config = self.country_info[country] zip_code = country_config["zip_code"] mark = country_config.get("mark") # 1. 根据国家和ASIN拼接链接 base_url = country_config["url"] # 提取域名部分 domain = base_url.split("/dp/")[0] # 拼接新的URL product_url = f"{domain}/dp/{asin}" print(f"正在访问: {product_url}") # 打开链接 self.tab.get(product_url) time.sleep(3) # 等待页面初步加载 self.tab.wait.doc_loaded(timeout=30, raise_err=False) self.close_init_popup() # 2. 切换国家/设置邮编 print(f"正在检查并设置邮编: {zip_code},标识： {mark}") self._set_zip_code(zip_code, mark) # self.tab.wait.doc_loaded(timeout=5, raise_err=False) # 3. 抓取数据 print("正在抓取商品数据...") data = self._scrape_data() # 添加基本信息 data['country'] = country data['asin'] = asin data['url'] = product_url data['timestamp'] = datetime.now().strftime('%Y-%m-%d %H:%M:%S') print(f"数据抓取完成: {json.dumps(data)}") return data except Exception as e: error_msg = f"运行出错: {traceback.format_exc()}" print(error_msg) show_notification(f"采集失败: {str(e)}", "error") return {} def _set_zip_code(self, zip_code, mark=None): """ 设置邮编 Args: zip_code: 目标邮编 """ try: # 检查当前邮编 zip_display = self.tab.ele('xpath://div[@id="glow-ingress-block"]', timeout=10) if zip_display: current_text = zip_display.text # print(f"当前地址信息: {current_text}") # 先检查标识 if mark is not None and mark in current_text: print(f"邮编检测到标识: {mark}，无需修改") return True # 检查是否已经包含目标邮编 if zip_code in current_text: print(f"邮编已经设置为: {zip_code}，无需修改") return True # 需要设置邮编 print(f"正在设置邮编为: {zip_code}") # 点击地址选择按钮 location_link = self.tab.ele('xpath://a[@id="nav-global-location-popover-link"]', timeout=10) if not location_link: print("找不到地址设置按钮") return False location_link.click() time.sleep(1) # 等待邮编输入框出现 zip_input = self.tab.ele('xpath://input[@id="GLUXZipUpdateInput"]', timeout=10) if not zip_input: print("找不到邮编输入框") return False # 输入邮编 zip_input.input(zip_code, clear=True) time.sleep(0.5) # 点击提交按钮 submit_btn = self.tab.ele('xpath://input[@aria-labelledby="GLUXZipUpdate-announce"]', timeout=10) if not submit_btn: print("找不到提交按钮") return False submit_btn.click() continue_btn = self.tab.eles('xpath://div[@class="a-popover-footer"]//input[@id="GLUXConfirmClose"]', timeout=10) if len(continue_btn) > 0: continue_btn[0].click() # 等待提交按钮消失（表示请求已发送） print("等待邮编更新...") time.sleep(2) # 等待页面加载完成 self.tab.wait.doc_loaded(timeout=30, raise_err=False) time.sleep(2) # 验证邮编是否设置成功 zip_display_after = self.tab.ele('xpath://div[@id="glow-ingress-block"]', timeout=10) if zip_display_after: updated_text = zip_display_after.text # print(f"更新后的地址信息: {updated_text}") if zip_code in updated_text: print(f"邮编设置成功: {zip_code}") return True else: # print(f"邮编设置可能失败，当前显示: {updated_text}") return False return True except Exception as e: print(f"设置邮编时出错: {traceback.format_exc()}") return False def _scrape_data(self): """ 抓取商品数据 Returns: dict: 抓取到的数据 """ data = { 'image_url': "", 'title': "" } try: # 等待页面加载 # time.sleep(3) title_ele = self.tab.ele('xpath://h1[@id="title"]',timeout=30) title = title_ele.text data["title"] = title imge_ele = self.tab.ele('xpath://div[@id="imgTagWrapperId"]//img',timeout=20) image_url = imge_ele.attr("src") data["image_url"] = image_url return data except Exception as e: print(f"抓取数据时出错: {traceback.format_exc()}") return data def close(self): """关闭浏览器""" try: if self.browser: self.browser.quit() print("浏览器已关闭") except Exception as e: print(f"关闭浏览器时出错: {str(e)}") class SpiderTask: mark_name = "亚马逊采集" def __init__(self, user_info: dict = None): """初始化审批任务处理器 Args: user_info: 用户信息字典，包含 company, username, password """ self.user_info = user_info or {} self.running = True self.result_api_module = "appearance-patent" def log(self, message: str, level: str = "INFO"): timestamp = datetime.now().strftime("%Y-%m-%d %H:%M:%S") if level == "ERROR": show_notification(message, "error") print(f"[{timestamp}] [PriceTask] [{level}] {message}") @staticmethod def group_by_id_prefix(data): """ 根据每条数据的 id 字段进行分组： - 如果 id 为 "2_1"，则取 "_" 前面的 "2" 作为分组 key - 如果 id 为 "1"，则分组 key 就是 "1" - 相同 key 的数据归为同一组 :param data: 原始列表数据 :return: 二维列表，按 id 前缀分组 """ grouped = defaultdict(list) for item in data: item_id = str(item.get("id", "")) group_key = item_id.split("_")[0] grouped[group_key].append(item) return list(grouped.values()) @staticmethod def normalize_groups(data): groups = data.get("groups") if isinstance(groups, list) and len(groups) > 0: return groups rows = data.get("rows") or data.get("items") or [] if not isinstance(rows, list) or len(rows) == 0: return [] normalized = [] for items in SpiderTask.group_by_id_prefix(rows): first = items[0] if items else {} item_id = str(first.get("id") or first.get("displayId") or "") base_id = item_id.split("_")[0] if item_id else "" normalized.append({ "sourceFileKey": first.get("sourceFileKey", ""), "sourceFilename": first.get("sourceFilename", ""), "groupKey": first.get("groupKey") or base_id, "baseId": first.get("baseId") or base_id, "displayId": first.get("displayId") or item_id, "items": items, }) return normalized def process_task(self, task_data: dict): """处理审批任务主入口 Args: task_data: 任务数据 """ try: data = task_data.get("data", {}) self.result_api_module = "similar-asin" if task_data.get("type") == "similar-asin-run" else "appearance-patent" task_id = data.get("taskId") groups = self.normalize_groups(data) # 用于测试 limit = data.get("limit", None) if not task_id: self.log("任务ID为空，跳过", "WARNING") return self.log(f"开始处理爬取任务 {task_id}，{len(groups)} 个任务") if not groups: self.log("appearance-patent groups/rows is empty, skip", "WARNING") return from config import runing_task runing_task[task_id] = { "status": "running", "start_time": datetime.now().strftime("%Y-%m-%d %H:%M:%S"), "total_shops": 1, "processed_shops": 0, "total_countries": len(groups) , "processed_countries": 0, "total_asins": 0, "processed_asins": 0, "success_count": 0, "failed_count": 0, "stop_requested": False } # 检查是否收到暂停请求 if task_id in runing_task and runing_task[task_id].get("stop_requested", False): self.log(f"检测到任务 {task_id} 的暂停请求，停止处理", "WARNING") runing_task[task_id]["status"] = "stopped" return max_retry = 3 show_notification(f"开始爬取数据", "info") chrome = ChromeAmzone() try: # 数据整理 # new_items = self.group_by_id_prefix(items) result = [] for gp_index,gp in enumerate(groups): items = gp.get("items", []) return_data = {} for index,value in enumerate(items): return_data = { 'image_url': "", 'title': "" } asin = value.get("asin") country = value.get("country") return_data = None for _ in range(max_retry): try: return_data = chrome.run(country, asin) or {} self.log(f"抓取结果->{return_data}") break except Exception as e: if "与页面的连接已断开" in str(e): chrome = ChromeAmzone() if not isinstance(return_data, dict): return_data = {} if return_data.get("image_url"): break group_item = [ { "sourceFileKey": i.get("sourceFileKey"), "sourceFilename": i.get("sourceFilename"), "rowToken": i.get("rowToken"), "groupKey": i.get("groupKey"), "id": i.get("id"), "asin": i.get("asin"), "country": i.get("country"), "url": return_data.get("image_url"), "title": return_data.get("title"), } for i in items ] # task_id: int, chunkIndex:int,chunkTotal: int, country_code: str, asin: str, status: dict,error:str="", # item_data:dict={}, res = { "sourceFileKey": gp.get("sourceFileKey"), "sourceFilename": gp.get("sourceFilename"), "groupKey": gp.get("groupKey"), "baseId": gp.get("baseId"), "displayId": gp.get("displayId"), "items": group_item } print("================") result.append(res) print("================") is_done = gp_index == len(groups)-1 if len(result) > 20 or is_done: self.post_result(task_id=task_id,chunkIndex=gp_index+1,chunkTotal=len(groups), asin=asin,item_data=result,is_done=is_done) result = [] if len(result) > 0: is_done = True self.post_result(task_id=task_id, chunkIndex=len(groups), chunkTotal=len(groups), asin=asin, item_data=result, is_done=is_done) try: chrome.close() except Exception as e: print("退出浏览器出错",e) # 更新已处理店铺数 if task_id in runing_task: runing_task[task_id]["processed_shops"] += 1 except Exception as e: import traceback self.log(f"处理店铺 {task_id} 失败: {str(e)}", "ERROR") self.log(traceback.format_exc(), "ERROR") # 更新任务状态 if task_id in runing_task: if runing_task[task_id].get("stop_requested", False): runing_task[task_id]["status"] = "stopped" self.log(f"任务 {task_id} 已被暂停！") else: runing_task[task_id]["status"] = "completed" self.log(f"任务 {task_id} 处理完成！") except Exception as e: import traceback self.log(f"任务处理失败: {traceback.format_exc()}", "ERROR") if task_id: from config import runing_task if task_id in runing_task: runing_task[task_id]["status"] = "failed" runing_task[task_id]["error"] = str(e) def post_result(self, task_id: int, chunkIndex:int,chunkTotal: int, asin: str, error:str="", item_data:dict={}, is_done: bool = False): """回传处理结果到API """ url = f"{DELETE_BRAND_API_BASE}/api/{self.result_api_module}/tasks/{task_id}/result" payload ={ "submissionId": f"{int(time.time())}", "chunkIndex": chunkIndex, "chunkTotal": chunkTotal, "error": error, "groups": item_data, "done": is_done } max_retries = 3 for retry in range(max_retries): try: request_timeout = 300 if is_done else 30 print("================【详情采集】=====================") self.log(f"尝试回传结果 (第 {retry + 1}/{max_retries} 次)") self.log(f"回传URL: {url}") self.log(f"回传数据: {payload}") response = requests.post( url, json=payload, headers={"Content-Type": "application/json"}, timeout=request_timeout, verify=False ) self.log(f"回传结果: {response.text}") data = response.json() if response.text else {} if response.status_code == 200 and isinstance(data, dict) and data.get("success"): self.log(f"结果回传成功: {asin} - {item_data}") return else: self.log(f"结果回传失败，状态码: {response.status_code}", "WARNING") print("=====================================") except Exception as e: self.log(f"调用API异常: {str(e)}", "ERROR") print("=====================================") # 如果还有重试机会，等待后继续 if retry < max_retries - 1: time.sleep(2) self.log(f"已达到最大重试次数，结果回传最终失败", "ERROR") raise RuntimeError("已达到最大重试次数，结果回传最终失败") if __name__ == '__main__': # spide = SpiderTask() task_data = [ { "sourceFileKey": "", "sourceFilename": "", "rowToken": "", "groupKey": "", "id": "1", "asin": "B0D792ND9V", "country": "英国", "url": "", "title": "低" }, { "sourceFileKey": "", "sourceFilename": "", "rowToken": "", "groupKey": "", "id": "2_1", "asin": "B0D14L34S7", "country": "英国", "url": "", "title": "" }, { "sourceFileKey": "", "sourceFilename": "", "rowToken": "", "groupKey": "", "id": "3_1", "asin": "B0CWQFZMGY", "country": "英国", "url": "", "title": "" }, { "sourceFileKey": "", "sourceFilename": "", "rowToken": "", "groupKey": "", "id": "4_1", "asin": "B0CX87XXWJ", "country": "英国", "url": "", "title": "" }, { "sourceFileKey": "", "sourceFilename": "", "rowToken": "", "groupKey": "", "id": "5_1", "asin": "B0CR3PMR8L", "country": "英国", "url": "", "title": "" }, { "sourceFileKey": "", "sourceFilename": "", "rowToken": "", "groupKey": "", "id": "6", "asin": "B0DK3L6FD4", "country": "英国", "url": "", "title": "" }, { "sourceFileKey": "", "sourceFilename": "", "rowToken": "", "groupKey": "", "id": "8", "asin": "B0D9QNV6FT", "country": "英国", "url": "", "title": "" }, { "sourceFileKey": "", "sourceFilename": "", "rowToken": "", "groupKey": "", "id": "10_1", "asin": "B0DBZG716J", "country": "英国", "url": "", "title": "" }, { "sourceFileKey": "", "sourceFilename": "", "rowToken": "", "groupKey": "", "id": "11_1", "asin": "B0CX8K4F8Z", "country": "英国", "url": "", "title": "" }, { "sourceFileKey": "", "sourceFilename": "", "rowToken": "", "groupKey": "", "id": "12_1", "asin": "B0C4KXJWW1", "country": "英国", "url": "", "title": "" }, { "sourceFileKey": "", "sourceFilename": "", "rowToken": "", "groupKey": "", "id": "13", "asin": "B0D62LNNKQ", "country": "英国", "url": "", "title": "" }, { "sourceFileKey": "", "sourceFilename": "", "rowToken": "", "groupKey": "", "id": "14", "asin": "B0DK3K3GF5", "country": "英国", "url": "", "title": "" }, { "sourceFileKey": "", "sourceFilename": "", "rowToken": "", "groupKey": "", "id": "15_1", "asin": "B0C1HN8GY6", "country": "英国", "url": "", "title": "" }, { "sourceFileKey": "", "sourceFilename": "", "rowToken": "", "groupKey": "", "id": "16_1", "asin": "B0B71WMDDF", "country": "英国", "url": "", "title": "" }, { "sourceFileKey": "", "sourceFilename": "", "rowToken": "", "groupKey": "", "id": "18_1", "asin": "B0DSZNF73N", "country": "英国", "url": "", "title": "" }, { "sourceFileKey": "", "sourceFilename": "", "rowToken": "", "groupKey": "", "id": "19", "asin": "B0897Y5QDC", "country": "英国", "url": "", "title": "" }, { "sourceFileKey": "", "sourceFilename": "", "rowToken": "", "groupKey": "", "id": "22_1", "asin": "B0FNCLNS68", "country": "英国", "url": "", "title": "" }, { "sourceFileKey": "", "sourceFilename": "", "rowToken": "", "groupKey": "", "id": "23_1", "asin": "B009U2SCMW", "country": "英国", "url": "", "title": "" }, { "sourceFileKey": "", "sourceFilename": "", "rowToken": "", "groupKey": "", "id": "24", "asin": "B0FBLY2ZRD", "country": "英国", "url": "", "title": "" }, { "sourceFileKey": "", "sourceFilename": "", "rowToken": "", "groupKey": "", "id": "25_1", "asin": "B08LP7DW3M", "country": "英国", "url": "", "title": "" }, { "sourceFileKey": "", "sourceFilename": "", "rowToken": "", "groupKey": "", "id": "28_1", "asin": "B0FPBZLD6R", "country": "英国", "url": "", "title": "" }, { "sourceFileKey": "", "sourceFilename": "", "rowToken": "", "groupKey": "", "id": "30", "asin": "B09LV1TNHK", "country": "英国", "url": "", "title": "" }, { "sourceFileKey": "", "sourceFilename": "", "rowToken": "", "groupKey": "", "id": "1_1", "asin": "B0DSKS214Y", "country": "英国", "url": "", "title": "" }, { "sourceFileKey": "", "sourceFilename": "", "rowToken": "", "groupKey": "", "id": "2_1", "asin": "B0BZBW8KL5", "country": "英国", "url": "", "title": "" }, { "sourceFileKey": "", "sourceFilename": "", "rowToken": "", "groupKey": "", "id": "3", "asin": "B0CR3LS3R7", "country": "英国", "url": "", "title": "" }, { "sourceFileKey": "", "sourceFilename": "", "rowToken": "", "groupKey": "", "id": "4", "asin": "B097TS2MNQ", "country": "英国", "url": "", "title": "" }, { "sourceFileKey": "", "sourceFilename": "", "rowToken": "", "groupKey": "", "id": "5", "asin": "B09LV4WGTR", "country": "英国", "url": "", "title": "" }, { "sourceFileKey": "", "sourceFilename": "", "rowToken": "", "groupKey": "", "id": "6_1", "asin": "B0916ZQP1V", "country": "英国", "url": "", "title": "" }, { "sourceFileKey": "", "sourceFilename": "", "rowToken": "", "groupKey": "", "id": "8_1", "asin": "B0C9WHZ67N", "country": "英国", "url": "", "title": "" }, { "sourceFileKey": "", "sourceFilename": "", "rowToken": "", "groupKey": "", "id": "9", "asin": "B0F8QKVS1D", "country": "英国", "url": "", "title": "" }, { "sourceFileKey": "", "sourceFilename": "", "rowToken": "", "groupKey": "", "id": "10", "asin": "B0D49974HV", "country": "英国", "url": "", "title": "" }, { "sourceFileKey": "", "sourceFilename": "", "rowToken": "", "groupKey": "", "id": "11", "asin": "B0F2DXMKVF", "country": "英国", "url": "", "title": "" }, { "sourceFileKey": "", "sourceFilename": "", "rowToken": "", "groupKey": "", "id": "12_1", "asin": "B08YX48NZ2", "country": "英国", "url": "", "title": "" }, { "sourceFileKey": "", "sourceFilename": "", "rowToken": "", "groupKey": "", "id": "14", "asin": "B0BGM3HF9C", "country": "英国", "url": "", "title": "" }, { "sourceFileKey": "", "sourceFilename": "", "rowToken": "", "groupKey": "", "id": "15", "asin": "B0CJJM9KZV", "country": "英国", "url": "", "title": "" }, { "sourceFileKey": 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"title": "" }, { "sourceFileKey": "", "sourceFilename": "", "rowToken": "", "groupKey": "", "id": "27", "asin": "B07SD5DWFT", "country": "英国", "url": "", "title": "" }, { "sourceFileKey": "", "sourceFilename": "", "rowToken": "", "groupKey": "", "id": "28", "asin": "B082ZNZG3X", "country": "英国", "url": "", "title": "" }, { "sourceFileKey": "", "sourceFilename": "", "rowToken": "", "groupKey": "", "id": "29", "asin": "B084M4ZGC3", "country": "英国", "url": "", "title": "" }, { "sourceFileKey": "", "sourceFilename": "", "rowToken": "", "groupKey": "", "id": "30", "asin": "B0FXH7SVWV", "country": "英国", "url": "", "title": "" }, { "sourceFileKey": "", "sourceFilename": "", "rowToken": "", "groupKey": "", "id": "3", "asin": "B07RM4MB3H", "country": "英国", "url": "", "title": "" }, { "sourceFileKey": "", "sourceFilename": "", "rowToken": "", "groupKey": "", "id": "4", "asin": "B0154H395G", "country": "英国", "url": "", "title": "" }, { "sourceFileKey": "", "sourceFilename": "", "rowToken": "", 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"title": "" }, { "sourceFileKey": "", "sourceFilename": "", "rowToken": "", "groupKey": "", "id": "12", "asin": "B0CRHC42M2", "country": "英国", "url": "", "title": "" }, { "sourceFileKey": "", "sourceFilename": "", "rowToken": "", "groupKey": "", "id": "14", "asin": "B07RGG2TCV", "country": "英国", "url": "", "title": "" }, { "sourceFileKey": "", "sourceFilename": "", "rowToken": "", "groupKey": "", "id": "15", "asin": "B0CTJNQ5MH", "country": "英国", "url": "", "title": "" }, { "sourceFileKey": "", "sourceFilename": "", "rowToken": "", "groupKey": "", "id": "16", "asin": "B0GGZSVY7G", "country": "英国", "url": "", "title": "" }, { "sourceFileKey": "", "sourceFilename": "", "rowToken": "", "groupKey": "", "id": "17", "asin": "B0G3WTPGMG", "country": "英国", "url": "", "title": "" }, { "sourceFileKey": "", "sourceFilename": "", "rowToken": "", "groupKey": "", "id": "18", "asin": "B0GH136M59", "country": "英国", "url": "", "title": "" }, { "sourceFileKey": "", "sourceFilename": "", "rowToken": "", "groupKey": "", "id": "19", "asin": "B0G3WJP9HJ", "country": "英国", "url": "", "title": "" }, { "sourceFileKey": "", "sourceFilename": "", "rowToken": "", "groupKey": "", "id": "20", "asin": "B0814RZNHY", "country": "英国", "url": "", "title": "" }, { "sourceFileKey": "", "sourceFilename": "", "rowToken": "", "groupKey": "", "id": "21", "asin": "B09ZXZH432", "country": "英国", "url": "", "title": "" }, { "sourceFileKey": "", "sourceFilename": "", "rowToken": "", "groupKey": "", "id": "22_1", "asin": "B0BWY99XXS", "country": "英国", "url": "", "title": "" }, { "sourceFileKey": "", "sourceFilename": "", "rowToken": "", "groupKey": "", "id": "23", "asin": "B0849Y6VYJ", "country": "英国", "url": "", "title": "" }, { "sourceFileKey": "", "sourceFilename": "", "rowToken": "", "groupKey": "", "id": "24", "asin": "B0FKBBNN2G", "country": "英国", "url": "", "title": "" }, { "sourceFileKey": "", "sourceFilename": "", "rowToken": "", "groupKey": "", "id": "25", "asin": "B07SBWB2X9", "country": "英国", "url": "", "title": "" }, { "sourceFileKey": "", "sourceFilename": "", "rowToken": "", "groupKey": "", "id": "26_1", "asin": "B0DK4JNBM3", "country": "英国", "url": "", "title": "" }, { "sourceFileKey": "", "sourceFilename": "", "rowToken": "", "groupKey": "", "id": "27_1", "asin": "B0FFZ3636F", "country": "英国", "url": "", "title": "" }, { "sourceFileKey": "", "sourceFilename": "", "rowToken": "", "groupKey": "", "id": "29", "asin": "B0BRGZKXN7", "country": "英国", "url": "", "title": "" }, { "sourceFileKey": "", "sourceFilename": "", "rowToken": "", "groupKey": "", "id": "2", "asin": "B0GSTM85H3", "country": "英国", "url": "", "title": "" } ] # spide.process_task(task_data) res = SpiderTask.group_by_id_prefix(task_data) print(res)