import json import time import re import traceback from datetime import datetime import requests from amazon.amazon_base import AmamzonBase, kill_process,TaskBase from amazon.tool import show_notification,get_shop_info,remove_special_characters,split_currency_values from config import runing_task, runing_shop,DELETE_BRAND_API_BASE class RepricingLogic: @staticmethod def situation_1_general_decrease(my_price, rank1_price, is_first_time=False): """ 情况1：常规递减跟价 (最左侧独立长图块) """ if is_first_time: return rank1_price - 0.3 # 这里的 diff 算出的是一个正数，代表“我比第一名低多少” diff = rank1_price - my_price # 如果当前价格高于或等于第一名，默认按照第一名减0.3处理 if diff <= 0: return rank1_price - 0.3 # 逻辑更清晰的写法：第一名价格 - (差价 + 对应阶梯值) # 例如差价0.7，则相当于 第一名价格 - (0.7 + 0.5) = 第一名价格 - 1.2 if diff <= 0.3: return rank1_price - (diff + 0.5) elif diff <= 0.8: return rank1_price - (diff + 0.7) elif diff <= 10.5: # 0.8 到 10.5 之间全部是在减1 return rank1_price - (diff + 1.0) else: return rank1_price - 10.5 # 相差10.5以上，跳过 @staticmethod def situation_2_own_buybox(my_price, rank2_price): """ 情况2：已经是自己购物车 """ diff = rank2_price - my_price if diff >= 2.0: return rank2_price - 0.3 if (20 <= my_price < 30 and diff >= 4) or \ (30 <= my_price < 60 and diff >= 8) or \ (60 <= my_price <= 150 and diff >= 15): return rank2_price - 0.3 return my_price @staticmethod def situation_3_not_own_buybox(my_price, rank1_price): """ 情况3：不是自己购物车 (除Amazon US外) """ diff = rank1_price - my_price if diff <= 0: return rank1_price - 0.3 # 逻辑更清晰的写法：第一名价格 - (差价 + 对应阶梯值) if diff <= 0.3: return rank1_price - (diff + 0.5) elif diff <= 0.8: return rank1_price - (diff + 0.7) elif diff <= 2.5: return rank1_price - (diff + 1.0) else: return None # 2.5-3.5以上跳过 @staticmethod def situation_4_encounter_amz_us_1st(my_price, amz_us_price): """ 情况4：遇到第一名是 Amazon US 卖家 """ diff = amz_us_price - my_price if diff <= 0: return amz_us_price - 3 # 逻辑更清晰的写法：第一名价格 - (差价 + 对应阶梯值) if diff <= 3: return amz_us_price - (diff + 2) elif diff <= 6: return amz_us_price - (diff + 3) else: return None # 超过6直接跳过 @staticmethod def situation_5_im_1st_amz_us_2nd(my_price, amz_us_price): """ 情况5：自己是第一名，第二名是 Amazon US 卖家 """ diff = amz_us_price - my_price if diff <= 7: return None # 相差7以内跳过 (保持原价) else: return amz_us_price - 5 def calculate_target_price( front_end_data,current_Price,current_shop_name, recommended_price,recommended_shipping ): """ recommended_price 推荐价格 recommended_shipping 推荐运费 """ # --- Step 1: 获取基础数据 --- cart_seller = front_end_data.get("cart_seller") my_price = current_Price # 我当前的售价 is_my_buybox = True if cart_seller == current_shop_name else False # 当前是否自己占据购物车 # --- Step 2: 紫鸟后台特殊判定 (最高优先级) --- if recommended_shipping > 0: price_1 = float(front_end_data.get("top_sellers")[0].get("price")) # 实际第一名价格 if is_my_buybox: price_col = price_1 else: price_col = recommended_price + recommended_shipping print(f"【紫鸟后台价格】{is_my_buybox} 推荐价格: {recommended_price}，推荐运费: {recommended_shipping}，总和: {price_col}") return RepricingLogic.situation_1_general_decrease(my_price,price_col,is_my_buybox) # # 第一名是自己， 第二名 Amazon US 卖家 的情况 shop_name_1 = front_end_data.get("top_sellers")[0].get("shop_name") shop_name_2 = front_end_data.get("top_sellers")[1].get("shop_name") if len(front_end_data.get("top_sellers")) >=2 else "" if shop_name_1 == current_shop_name and "Amazon" in shop_name_2: price_2 = float(front_end_data.get("top_sellers")[1].get("price")) # 实际第二名价格 return RepricingLogic.situation_5_im_1st_amz_us_2nd(my_price,price_2) # --- Step 3: 常规核心分流逻辑 (如果没有紫鸟后台数据) --- # 分支 A：第一名是 Amazon US 卖家 (特殊强敌优先) price_1 = float(front_end_data.get("top_sellers")[0].get("price")) # 实际第一名价格 if "Amazon" in shop_name_1: # 增补第6种情况，如果是自己购物车 且 第一名是Amazon 且Amazon的价格高于自己的价格 按照这个 :如果低于自己的价格 就跳过, if is_my_buybox: if price_1 > my_price: diff = price_1 - my_price if diff <= 7 : return None else: return price_1 - 5 else: return None else: return RepricingLogic.situation_4_encounter_amz_us_1st(my_price,price_1) # 分支 B：不是 Amazon US，且目前是自己的购物车 elif is_my_buybox: if len(front_end_data.get("top_sellers")) < 2: return None price_2 = float(front_end_data.get("top_sellers")[1].get("price")) # 实际第二名价格 return RepricingLogic.situation_2_own_buybox(my_price,price_2) # 分支 C：不是 Amazon US，也不是自己的购物车 else: # 正常情况下的普通跟价，调用阶梯逻辑 return RepricingLogic.situation_3_not_own_buybox(my_price, price_1) 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,tab): self.tab = tab 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=10) if len(accept_btn) > 0: accept_btn[0].click() 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 run(self,country): """ 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: 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") self._set_zip_code(zip_code,mark) self.tab.wait.doc_loaded(timeout=5,raise_err=False) self.tab.wait.doc_loaded(timeout=30, raise_err=False) self.close_init_popup() 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() data['timestamp'] = datetime.now().strftime('%Y-%m-%d %H:%M:%S') print(f"数据抓取完成: {json.dumps(data)}") print("======================================================") 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 None def _scrape_data(self): """ 抓取商品数据 Returns: dict: 抓取到的数据 """ data = { 'top_sellers': [], # 前两名卖家信息 'cart_seller': None # 购物车所属卖家 } try: # 等待页面加载 time.sleep(3) h4 = self.tab.eles('xpath://div[@id="rightCol"]//h4[text()="卖家精灵-库存监控"]',timeout=10) print("【家精灵-库存监控】数量",len(h4)) # 1. 获取前两名卖家的价格和库存（来自 sellersprite 插件） print("正在抓取卖家排名数据...") surplus_tables = self.tab.eles( 'xpath://div[@id="sellersprite-extension-Inventory-surplus-count"]//div[@class="surplus-table"]', timeout=10 ) if surplus_tables: print(f"找到 {len(surplus_tables)} 个卖家数据") # 只获取前两个 for idx, table in enumerate(surplus_tables[:2]): try: # 提取价格和库存信息 # 注意：需要根据实际的HTML结构调整选择器 # print(f"第{idx+1}名卖家数据: {text_content}") seller_info = { 'rank': idx + 1, } # 尝试提取更结构化的数据 # 这里需要根据实际HTML结构来解析 # 可能需要查找子元素 try: # 示例：查找价格和库存的具体子节点 price_ele = table.ele('xpath:.//span[contains(@class,"price")]', timeout=2) stock_ele = table.ele('xpath:.//span[@class="surplus-count-num"]', timeout=2) shop_name_ele = table.ele('xpath:.//div[@class="surplus-table-item"][2]//a', timeout=2) seller_info['price'] = remove_special_characters(price_ele.text.strip()) seller_info['stock'] = remove_special_characters(stock_ele.text.strip()) seller_info['shop_name'] = shop_name_ele.text.strip() except Exception as e: print("解析出错",e) pass data['top_sellers'].append(seller_info) except Exception as e: print(f"解析第{idx+1}名卖家数据失败: {str(e)}") else: print("未找到 sellersprite 插件数据，可能插件未启用") show_notification("未找到 sellersprite 插件数据，可能插件未启用") # 2. 获取购物车所属卖家 print("正在抓取购物车卖家信息...") cart_seller = self.tab.ele( 'xpath://div[@data-csa-c-content-id="desktop-merchant-info"]//a[@id="sellerProfileTriggerId"]', timeout=10 ) if cart_seller: seller_name = cart_seller.text.strip() print(f"购物车所属卖家: {seller_name}") data['cart_seller'] = seller_name else: print("未找到购物车卖家信息") # 尝试其他可能的选择器 try: alt_seller = self.tab.ele('xpath://a[@id="sellerProfileTriggerId"]', timeout=5) if alt_seller: data['cart_seller'] = alt_seller.text.strip() print(f"购物车所属卖家（备用方式）: {data['cart_seller']}") except: pass 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: self.tab.close() except Exception as e: print(f"关闭标签页时出错: {str(e)}") class AmzonePriceMatch(AmamzonBase): mark_name = "跟价" def __init__(self, user_info: dict, socket_port: int = 19890): super().__init__(user_info,socket_port) self.already_asin = set() def reset_already_asin(self): self.already_asin = set() self.log("already_asin 已重置") def search_asin(self, asin): search_region = self.tab.ele('xpath://div[@id="searchBoxContainer"]//kat-input-group') search_region.wait.displayed(raise_err=False) time.sleep(0.6) search_input = self.tab.ele("xpath://kat-input[contains(@class,'SearchBox-module__searchInput')]").sr( 'xpath://span[@class="container"]//input[@part="input"]') search_input.input(asin,clear=True) sku_ls = [] for _ in range(3): search_btn = self.tab.ele("xpath://kat-icon[@name='search']") search_btn.click() load_ele = self.tab.ele("xpath://div[contains(@class,'Loader-module__loader')]") # load_ele.wait.hidden(timeout=3, raise_err=False) load_ele.wait.deleted(timeout=3, raise_err=False) time.sleep(0.5) sku_ls = self.tab.eles("xpath://div[@data-sku]",timeout=3) if len(sku_ls) > 0: break return sku_ls def search_asin_action(self,asin:str): load_ele = self.tab.eles("xpath://div[contains(@class,'Loader-module__loader')]", timeout=5) if len(load_ele) > 0: load_ele[0].wait.deleted(timeout=3, raise_err=False) time.sleep(0.5) sku_ls = self.search_asin(asin=asin) print(f"【{self.mark_name}】{asin} 搜索到 {len(sku_ls)} 个SKU") def clear_tab(self): all_tab = self.browser.get_tabs() close_tab = [] for tab in all_tab: tab_id = tab if isinstance(tab,str) else tab.tab_id if self.tab.tab_id == tab_id: continue close_tab.append(tab) print("需要关闭的标签页",close_tab) print("当前操作的tab_id",self.tab.tab_id) self.browser.close_tabs(close_tab) def run_page_action(self,current_shop_name:str,mode:str, appoint_asin:str=None,skip_asin:list=[],miniprice_info:dict={}): self.log(f"==================={self.mark_name}=======================") self.log("开始执行...") num = 0 retry_num = 0 already_asin = set() get_page_faild = 0 #获取当前国家 current_country_ele = self.tab.ele('xpath://div[@class="dropdown-account-switcher-header-label"]/span[last()]', timeout=20) current_country = current_country_ele.text.strip() max_retry_num = 5 while retry_num < max_retry_num: # 最多重试3次 try: if appoint_asin is not None: self.log(f"指定asin操作,{appoint_asin}") self.search_asin_action(asin=appoint_asin) load_ele = self.tab.eles("xpath://div[contains(@class,'Loader-module__loader')]", timeout=5) if len(load_ele) > 0: load_ele[0].wait.deleted(timeout=3, raise_err=False) time.sleep(0.5) # 获取当前页码 try: page_pamel = self.tab.eles('xpath://kat-pagination', timeout=5) if len(page_pamel) > 0: current_page = page_pamel[0].sr('xpath:.//ul[@class="pages"]//li[@aria-current="true"]').text #测试===== # if int(current_page) > 1: # break # 测试=========== # yield (None,{"page":int(current_page.strip())}) # 总页数 total_page = page_pamel[0].sr.eles( 'xpath:.//ul[@class="pages"]//span[@class="page__inner"][last()]') if len(total_page) > 0: total_page = total_page[-1].text else: total_page = 0 self.log(f"【{self.mark_name}】当前页码: {current_page} / 总页数: {total_page}") get_page_faild = 0 except Exception as e: self.log(f"获取页码失败,{e}") get_page_faild += 1 if get_page_faild > 2: show_notification(f"【{self.mark_name}】获取页码失败超3次停止任务！") break # 保存当前URL，用于失败重试时访问 try: self.url = self.tab.url self.log(f"获取当前的链接:{self.url}") except Exception as e: self.url = None self.log(f"获取当前的链接失败:{e}") sku_ls = self.tab.eles("xpath://div[@data-sku]", timeout=10) self.log(f"【{self.mark_name}】获取到 {len(sku_ls)}") if len(sku_ls) == 0: if mode == "asin": self.log(f"asin 模式查询不到，{appoint_asin}") yield (appoint_asin, { "statu": "查询不到" }) break retry_num += 1 self.log(f"没有获取到 ASIN 商品,重试{retry_num}/{max_retry_num}") self.tab.refresh() self.tab.wait.doc_loaded(raise_err=False, timeout=120) if retry_num == max_retry_num: raise RuntimeError(f"与页面的连接已断开，没有获取到 ASIN 商品,重试{retry_num}/{max_retry_num}") continue # for sku_ele in sku_ls[0:2]: for sku_ele in sku_ls: asin = sku_ele.ele( 'xpath:.//div[contains(@class,"JanusSplitBox-module__container")]//div[contains(@class,"JanusSplitBox-module__panel--") and contains(string(.),"ASIN")]/..//div[last()]', timeout=3).text self.log(f"【{self.mark_name}】ASIN {asin} 找到....") try: # if asin in already_asin: # print(f"【{self.mark_name}】{asin} 已经处理过了，跳过") # continue if asin in skip_asin: yield (asin, { "statu": "跳过,需要跳过的ASIN" }) continue bottom_price_ele = sku_ele.eles('xpath:.//div[@data-test-id="LowestPrice"]/div[2]',timeout=5) bottom_price = "" #初始化为空 if len(bottom_price_ele) > 0: try: bottom_price_text = bottom_price_ele[0].text # print("最低价格->>",bottom_price_text) bottom_price = f"{sum(split_currency_values(bottom_price_text))}" except Exception as e: self.log(f"最低价提取失败,{e}") current_price_ele = sku_ele.eles('xpath:.//b[text()="价格"]/../..//kat-input',timeout=5) if len(current_price_ele) > 0: current_price = current_price_ele[0].attr("value") self.log(f"获取到当前价格为 ->{current_price}") # 如果紫鸟里当前价格低于最低价则删除，否则跳过 # if mode == "status" and miniprice_info.get(asin): if miniprice_info.get(asin): backend_price = float(miniprice_info.get(asin)) if float(current_price) <= backend_price: yield (asin, { "statu": "跳过(当前价格低于或等于最低价)", "currentPrice": current_price, "minimumPrice": backend_price, # 最低价格 }) continue else: self.log(f"没有获取到当前价格") yield (asin, { "statu": "失败(没有获取到当前的价格)" }) continue self.clear_tab() detail_url_ele = sku_ele.ele('xpath:.//div[contains(@class,"ProductDetails-module__titleContainer")]//a') # detail_url_ele.click() detail_url = detail_url_ele.attr("href") self.log(f"详情链接,{detail_url}") # time.sleep(1) for _ in range(10): try: new_tab = self.browser.new_tab(url=detail_url) print("获取新标签页成功",new_tab) time.sleep(1) break except Exception as e: time.sleep(1) pass chrome = ChromeAmzone(tab=new_tab) front_end_data = chrome.run(country=current_country) chrome.close() self.clear_tab() self.log(f"亚马逊前台抓取到数据,{front_end_data}") if front_end_data is None or len(front_end_data.get("top_sellers")) == 0: yield (asin, { "statu": "失败(第一名获取失败，请检查卖家精灵是否启用)", "currentPrice": current_price, }) continue cart_seller = front_end_data.get("cart_seller") if cart_seller == current_shop_name and len(front_end_data.get("top_sellers"))< 2: yield (asin, { "statu": "跳过(自己的购物车,只有第一名)", "currentPrice": current_price, }) continue recommend_price_ele= sku_ele.eles('xpath:.//div[@data-test-id="FeaturedOfferPrice"]/div[2]',timeout=5) if len(recommend_price_ele) > 0: try: price_text = recommend_price_ele[0].text # print("推荐价格 ->>",price_text) recommend_price,shipping_fee = split_currency_values(price_text) except Exception as e: print("推荐价格和运费提取失败 ->>",e) recommend_price, shipping_fee = 0, 0 else: print(f"{self.mark_name} 没有查找有推荐价格和运费") recommend_price,shipping_fee = 0,0 adjust_prices = calculate_target_price( front_end_data, float(current_price), current_shop_name, recommend_price, shipping_fee ) # adjust_prices = 236.56 self.log(f"{asin}【逻辑计算后的价格】{adjust_prices}") if adjust_prices is not None and adjust_prices != float(current_price): #修改价格 self.log(f"准备填入的原始值：{adjust_prices}") adjust_prices = round(adjust_prices, 2) self.log(f"保留两位小数后的：：{adjust_prices}") self.tab.actions.click(current_price_ele[0]) time.sleep(1) current_price_ele[0].input(f"{adjust_prices}", clear=True) time.sleep(1) # current_price_ele[0].sr('xpath:.//inpu[@part="input"]').input(f"{adjust_prices}",clear=True) out_focus = sku_ele.ele('xpath:.//b[text()="价格"]/../..//kat-label',timeout=5) out_focus.click() time.sleep(1) save_all_btn = self.tab.ele('xpath://kat-button[@label="保存所有"]', timeout=10) save_all_btn.wait.displayed(timeout=10, raise_err=False) save_all_btn.click() save_all_btn.wait.deleted(timeout=10, raise_err=False) recommendedPrice = recommend_price + shipping_fee price_1 = float(front_end_data.get("top_sellers")[0].get("price")) if len(front_end_data.get("top_sellers")) >= 1 else "" # 实际第一名价格 price_2 = float(front_end_data.get("top_sellers")[1].get("price")) if len(front_end_data.get("top_sellers")) >= 2 else "" # 实际第二名价格 cartShopName = front_end_data.get("cart_seller") yield (asin,{ "statu" : "改价成功", "currentPrice" : current_price, "recommendedPrice" : f"{recommendedPrice}", "minimumPrice" : f"{miniprice_info.get(asin)}" if miniprice_info.get(asin) else "",#bottom_price, #最低价格 "firstPlace": price_1, "secondPlace": price_2, "cartShopName" : cartShopName, "shippingFee" : f"{shipping_fee}", "priceChangePrice" : f"{adjust_prices}", "priceChangeStatus" : "改价成功", }) else: recommendedPrice = recommend_price + shipping_fee price_1 = float(front_end_data.get("top_sellers")[0].get("price")) if len( front_end_data.get("top_sellers")) >= 2 else "" # 实际第一名价格 price_2 = float(front_end_data.get("top_sellers")[1].get("price")) if len( front_end_data.get("top_sellers")) >= 2 else "" # 实际第二名价格 cartShopName = front_end_data.get("cart_seller") yield (asin, { "statu": "跳过，无需改价", "currentPrice": current_price, "recommendedPrice": f"{recommendedPrice}", # "minimumPrice": bottom_price, # 最低价格 "minimumPrice": f"{miniprice_info.get(asin)}" if miniprice_info.get(asin) else "", "firstPlace": price_1, "secondPlace": price_2, "cartShopName": cartShopName, "shippingFee": f"{shipping_fee}", "priceChangeStatus": "跳过，无需改价", "priceChangePrice": f"{adjust_prices}".replace("None",""), }) except Exception as e: self.log(f"{asin},操作出错，{e}") continue already_asin.add(asin) # 判断是否存在需要翻页的情况 page_pamel = self.tab.eles('xpath://kat-pagination', timeout=5) if len(page_pamel) == 0: break next_page_btn = page_pamel[0].sr('xpath:.//span[@part="pagination-nav-right"]') class_str = next_page_btn.attr('class') if "end" in class_str: break next_page_btn.click() num += 1 self.log(f"【程序计算】正在翻页，已翻 {num} 页...") already_asin = set() retry_num = 0 except Exception as e: self.log(f"处理跟价操作异常", e) traceback.print_exc() retry_num += 1 self.tab.refresh() self.tab.wait.doc_loaded(raise_err=False, timeout=120) class PriceTask(TaskBase): task_name = "跟价-TASK" 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", {}) task_id = data.get("task_id") # items = data.get("items", []) shop_name = data.get("shop_name") country_codes = data.get("country_codes", []) risk_listing_filter = data.get("risk_listing_filter", "Active") user_id = data.get("user_id") stage_index = data.get("stage_index") final_stage = bool(data.get("final_stage", True)) # 用于测试 limit = data.get("limit", None) if not task_id: self.log("任务ID为空，跳过", "WARNING") return # if not items: # self.log("店铺列表为空，跳过", "WARNING") # return if not country_codes: self.log("国家列表为空，跳过", "WARNING") return self.log(f"开始处理审批任务 {task_id}，共 1 个店铺，{len(country_codes)} 个国家") 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(country_codes) , "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 self.log(f"开始处理店铺: {shop_name}") show_notification(f"开始处理店铺: {shop_name}", "info") try: self.process_shop(data, country_codes, task_id, risk_listing_filter, user_id, stage_index, final_stage, limit=limit) # self.process_shop(shop_item, country_codes, task_id,risk_listing_filter) # 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: self.log(f"处理店铺 {shop_name} 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: 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 process_shop(self, shop_item: dict, country_codes: list, task_id: int, risk_listing_filter: str, user_id=None, stage_index=None, final_stage: bool = True, limit: str = None): """处理单个店铺 Args: shop_item: 店铺信息 country_codes: 国家代码列表 task_id: 任务ID risk_listing_filter: 风险商品筛选条件 """ shop_name = shop_item.get("shopName", "未知店铺") company_name = shop_item.get("companyName", "") shopMallName = shop_item.get("shopMallName","") skip_asins_by_country = shop_item.get("skip_asins_by_country",{}) asin_rows_by_country = shop_item.get("asin_rows_by_country",{}) skip_asin_details_by_country = shop_item.get("skip_asin_details_by_country",{}) minimum_price_by_country_and_asin = shop_item.get("minimum_price_by_country_and_asin",{}) if len(minimum_price_by_country_and_asin) > 0: country_codes = minimum_price_by_country_and_asin.keys() # 指定ASIN的情况 mode = shop_item.get("mode") if not company_name: self.log(f"店铺 {shop_name} 的公司名称为空，跳过", "WARNING") return if task_id in runing_task: runing_task[task_id]["current_shop"] = shop_name # 将店铺添加到正在执行中的店铺列表 start_time = datetime.now().strftime("%Y-%m-%d %H:%M:%S") runing_shop[shop_name] = start_time self.log(f"店铺 {shop_name} 已添加到执行列表，账号: {company_name}，开始时间: {start_time}") # 店铺打开重试最多3次 driver = None max_retries = 3 iskill = False # 处理每个国家 for country_code in country_codes: # 打开店铺 driver = self.open_shop(cls=AmzonePriceMatch,max_retries=max_retries, company_name=company_name, shop_name=shop_name,iskill=iskill) if driver is None: self.log(f"任务 {task_id} 启动店铺失败，结束任务", "ERROR") for country_code in country_codes: self.post_result(task_id, shop_name, country_code, "", {}, shopMallName, is_done=True) return # 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，停止处理国家", "ERROR") driver.close_store() break skip_asin = skip_asins_by_country.get(country_code,[]) #需要跳过的asin appoint_asin = asin_rows_by_country.get(country_code,[]) if mode == "status": miniprice_info = {i.get('asin'):i.get('minimumPrice') for i in skip_asin_details_by_country.get(country_code,[])} else: miniprice_info = minimum_price_by_country_and_asin.get(country_code,{}) current_url = None for _ in range(max_retries): try: self.process_country(driver, country_code, task_id, shop_name, risk_listing_filter, shopMallName=shopMallName,skip_asin=skip_asin, limit=limit, appoint_asin=appoint_asin,mode=mode,miniprice_info=miniprice_info, target_url=current_url ) driver.reset_already_asin() driver.close_store() break except Exception as e: self.log(f"处理国家 {country_code} 失败: {str(e)}", "ERROR") self.log(traceback.format_exc(), "ERROR") if "与页面的连接已断开" in str(e): iskill = True current_url = driver.url # 更新已处理国家数 if task_id in runing_task: runing_task[task_id]["processed_countries"] += 1 # 关闭店铺 driver.close_store() # 最后回传，标记完成 try: # self.post_result(task_id, shop_name, country_code, "", "", is_done=True) if final_stage: self.post_result(task_id, shop_name, country_code, "", {},shopMallName,is_done=True) else: self.post_stage_finished(task_id, user_id, stage_index) except Exception as e: self.log(f"回传结果失败: {str(e)}", "ERROR") self.log(f"{task_id}任务处理完成") # 从正在执行中的店铺列表中移除 if shop_name in runing_shop: del runing_shop[shop_name] self.log(f"店铺 {shop_name} 已从执行列表中移除") def process_country(self, driver: AmzonePriceMatch, country_code: str, task_id: int, shop_name: str, risk_listing_filter: str,shopMallName:str,skip_asin:list,appoint_asin:list,mode:str, miniprice_info:dict={}, limit: str = None,target_url:str=None): """处理单个国家的审批任务 Args: driver: AmzoneApprove驱动实例 country_code: 国家代码（如 UK, DE, FR 等） task_id: 任务ID shop_name: 店铺名称 risk_listing_filter: 风险商品筛选条件 """ # 转换国家代码为中文名称 country_name = self.country_info.get(country_code, country_code) info_mes = f"开始处理国家: {country_name} ({country_code}),需要跳过的asin {skip_asin}" self.log(info_mes) show_notification(f"开始处理国家:{country_name}", "info") # 更新当前处理的国家 if task_id in runing_task: runing_task[task_id]["current_country"] = country_name # 切换国家，最多重试3次 max_retries = 5 switch_success,switch_success_pg,search_success,sku_ls = self.action_init( driver, country_name, shop_name, risk_listing_filter) # 如果切换失败，直接返回 if not switch_success or not switch_success_pg or not search_success: error_message = f"切换到国家({switch_success})/库存页面({switch_success_pg})/搜索筛选到指定选项({search_success}) {country_name} 失败，已重试 {max_retries} 次，跳过该国家" self.log(error_message, "ERROR") if task_id in runing_task: runing_task[task_id]["processed_countries"] += 1 return self.log(f"国家 {country_name} ，开始处理...") if target_url is not None: #从失败的链接继续 self.log(f"开始访问:{target_url}") driver.tab.get(url=target_url) driver.tab.wait.doc_loaded(timeout=60,raise_err=False) result = [] # 指定 asin max_range = max(1,len(appoint_asin)) for i in range(max_range): if len(appoint_asin) > i: _shopMallName = appoint_asin[i]["shopMallName"] ap_asin = appoint_asin[i]["asin"] else: _shopMallName = shopMallName ap_asin = None if not _shopMallName: self.log(f"没有店铺名，不执行,{_shopMallName}","ERROR") return for _ in range(max_retries): for asin, status in driver.run_page_action( current_shop_name=_shopMallName, appoint_asin=ap_asin,skip_asin=skip_asin,mode=mode, miniprice_info=miniprice_info ): if asin is None: continue # 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ASIN", "WARNING") break self.log(f"ASIN {asin} 处理结果: {status}") # 更新任务状态 if task_id in runing_task: runing_task[task_id]["current_asin"] = asin runing_task[task_id]["processed_asins"] += 1 runing_task[task_id]["failed_count"] += 1 result.append({ "shopMallName": shopMallName, "asin": asin, "price": status.get("currentPrice") if status.get("currentPrice") else "", "recommendedPrice": status.get("recommendedPrice") if status.get( "recommendedPrice") else "", "minimumPrice": status.get("minimumPrice") if status.get("minimumPrice") else "", "firstPlace": status.get("firstPlace") if status.get("firstPlace") else "", "secondPlace": status.get("secondPlace") if status.get("secondPlace") else "", "cartShopName": status.get("cartShopName") if status.get("cartShopName") else "", # "priceChangeStatus": "UPDATED", "deleteSkipAsin": status.get("deleteSkipAsin", False), "removeAsin": status.get("removeAsin") if status.get("removeAsin") else "", "modifyCount": "1", "shippingFee": status.get("shippingFee") if status.get("shippingFee") else "", "status": status.get("statu"), "priceChangeStatus": status.get("priceChangeStatus") if status.get( "priceChangeStatus") else "", "priceChangePrice": status.get("priceChangePrice") if status.get( "priceChangePrice") else "", } ) if len(result) > 20: self.post_result_batch(task_id, shop_name, country_code, result) result = [] break if len(result) > 0: self.post_result_batch(task_id, shop_name, country_code, result) self.log(f"国家 {country_name} 处理完成") def post_stage_finished(self, task_id: int, user_id, stage_index): if user_id in (None, "", 0): raise ValueError("user_id is required for stage completion callback") if stage_index is None: raise ValueError("stage_index is required for stage completion callback") url = f"{DELETE_BRAND_API_BASE}/api/shop-match/tasks/{task_id}/stage-finished" payload = {"stage_index": stage_index} params = {"user_id": user_id} max_retries = 3 for retry in range(max_retries): try: self.log(f"Attempting stage completion callback ({retry + 1}/{max_retries})") response = requests.post( url, params=params, json=payload, headers={"Content-Type": "application/json"}, timeout=30, verify=False, ) self.log(f"Stage completion callback response: {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"Stage completion callback succeeded: task={task_id}, stage={stage_index}") return self.log(f"Stage completion callback failed, status={response.status_code}", "WARNING") except Exception as e: self.log(f"Stage completion callback exception: {str(e)}", "ERROR") if retry < max_retries - 1: time.sleep(2) raise RuntimeError(f"Stage completion callback failed after retries: task={task_id}, stage={stage_index}") def post_result(self, task_id: int, shop_name: str, country_code: str, asin: str, status: dict,shopMallName:str, is_done: bool = False): """回传处理结果到API Args: task_id: 任务ID shop_name: 店铺名称 country_code: 国家代码 asin: ASIN status: 处理状态 """ url = f"{DELETE_BRAND_API_BASE}/api/price-track/tasks/{task_id}/result" country_aliases = {name: code for code, name in self.country_info.items()} country_key = country_aliases.get(str(country_code).strip(), str(country_code).strip()) payload = { "shops": [ { "shopName": shop_name, "countries": { country_key : [ { "shopMallName": shopMallName, "asin": asin, "price": status.get("currentPrice") if status.get("currentPrice") else "", "recommendedPrice": status.get("recommendedPrice") if status.get("recommendedPrice") else "", "minimumPrice": status.get("minimumPrice") if status.get("minimumPrice") else "", "firstPlace": status.get("firstPlace") if status.get("firstPlace") else "", "secondPlace": status.get("secondPlace") if status.get("secondPlace") else "", "cartShopName": status.get("cartShopName") if status.get("cartShopName") else "", # "priceChangeStatus": "UPDATED", "deleteSkipAsin": status.get("deleteSkipAsin",False), "removeAsin": status.get("removeAsin") if status.get("removeAsin") else "", "modifyCount": "1", "shippingFee" : status.get("shippingFee") if status.get("shippingFee") else "", "status": status.get("statu"), "priceChangeStatus" : status.get("priceChangeStatus") if status.get("priceChangeStatus") else "", "priceChangePrice" : status.get("priceChangePrice") if status.get("priceChangePrice") else "", } ] }, "error": "" } ] } if is_done: payload["shops"][0]["success"] = is_done max_retries = 3 for retry in range(max_retries): try: print("================【跟价】=====================") 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=30, 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} - {status}") 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") def post_result_batch(self, task_id: int, shop_name: str, country_code: str, country_data,is_done: bool = False): """回传处理结果到API """ url = f"{DELETE_BRAND_API_BASE}/api/price-track/tasks/{task_id}/result" country_aliases = {name: code for code, name in self.country_info.items()} country_key = country_aliases.get(str(country_code).strip(), str(country_code).strip()) payload = { "shops": [ { "shopName": shop_name, "countries": { country_key: country_data }, "error": "" } ] } if is_done: payload["shops"][0]["success"] = is_done max_retries = 3 for retry in range(max_retries): try: self.log("================【跟价】=====================") 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=30, 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") return else: self.log(f"结果回传失败，状态码: {response.status_code}", "WARNING") self.log("=====================================") except Exception as e: self.log(f"调用API异常: {str(e)}", "ERROR") self.log("=====================================") # 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") if __name__ == '__main__': # 使用示例 user_info = { "company": "尾号5578的公司115", "username": "自动化_Robot", "password": "#20zsg25" } # shop_name = "周洪" # country = "德国" # kill_process('v6') # driver = AmzonePriceMatch(user_info) # browser = driver.open_shop(shop_name) # sw_suc = driver.SwitchingCountries(country) # driver.SwitchPage() # risk_listing_filter = "Active" # _shopMallName = "Zhou Hong 600" # ap_asin ="B0FK574K91" # skip_asin = [] # for _ in range(3): # try: # sku_ls = driver.search(filter_type=risk_listing_filter) # break # except Exception as e: # print(e) # driver.tab.refresh() # if len(sku_ls) > 0: # print("有数据，开始操作") # for asin, status in driver.run_page_action( # current_shop_name=_shopMallName, # appoint_asin=ap_asin,skip_asin=skip_asin,mode="asin" # ): # print(f"ASIN {asin} 的处理结果: {status}") # print("已完成操作") # front_end_data = {'top_sellers': [{'rank': 1, 'price': '30.14', 'stock': '100', 'shop_name': 'Zhou Hong 600'}], 'cart_seller': 'Zhou Hong 600', 'timestamp': '2026-04-30 23:47:02'} # # current_Price = 30.14 # current_shop_name = "Zhou Hong 600" # recommended_price = 30.14 # recommended_shipping =0.0 # res = calculate_target_price( # front_end_data, current_Price, current_shop_name, # recommended_price, recommended_shipping # ) # print(res) task_data = {'type': 'price-track-run', 'ts': 1777746140975, 'data': {'task_id': 5658, 'result_id': 7627, 'shop_name': '郭锋滨', 'shop_id': '27769139291498', 'platform': '亚马逊', 'company_name': '尾号5578的公司115', 'shop_mall_name': '', 'matched': True, 'match_status': 'MATCHED', 'match_message': None, 'success': False, 'error': None, 'output_filename': None, 'download_url': None, 'task_status': 'RUNNING', 'loop_run_id': 235, 'round_index': 1, 'country_codes': ['UK', 'DE', 'FR', 'ES', 'IT'], 'mode': 'status', 'skip_asins': {'DE': ['B0FMKM1BYH', 'B0DJT78FNR', 'B0DJLJ73RB', 'B0D6QL2JMY', 'B0CFKLPKF5', 'B09BMWX6Q1', 'B07C4MNWFL', 'B0FHDGLQK7', 'B0FHD9S7K7', 'B0FB2FB6G6', 'B0F9W8VXWQ', 'B0F9W81F2F', 'B0F9W7KLNM', 'B0F2ZJWJNC', 'B0D49F7LM4', 'B0CXSP3PDP', 'B0CLXZHM2G', 'B0CG8RNWL6', 'B0C4SZ8GZW', 'B0BVM53J3B', 'B0BNHN9N9X', 'B0BMXBNMP5', 'B0BLN7D2JZ', 'B09MYVN5YK', 'B09MBNG7P4', 'B0DXTSTZC6', 'B0D25871WL', 'B0CL69XRTY', 'B0CKXMDBN8', 'B0CGDF2G8V', 'B0CFTGXVYF', 'B0CFT6XPPD', 'B09YXTN8JP', 'B0DHX32XJH', 'B0DHL7FQJM', 'B0DHL63M79', 'B0CWXYY74V', 'B0CWXYRGZW', 'B0CPLR6YHB', 'B0BXP4RC25', 'B0BFRRZDCH', 'B0B65R3N47', 'B0F36ZSWTQ', 'B0DT1DYWC6', 'B0DNZ5WX1L', 'B0DNZ5N7HY', 'B0DCJJ3PCM', 'B0D8JV9MB9', 'B0D2KCRLJ1', 'B0CRVRDS8C', 'B0CQK7QWJB', 'B0CQK5SRXW', 'B0BCL2DLPC', 'B0B9JBHPFY', 'B09TVY4V8Z', 'B0FJBD6Q3D', 'B0DG8LQLXZ', 'B0CD7Q1BX3', 'B0BV1SR48Y', 'B0F29CFJJ9', 'B0DSL6PKR7', 'B0CPV21W4L', 'B0CNQZ7FXY', 'B0CLY9XT5M', 'B0CGTMZ8GP', 'B0CF881PG4', 'B0CF4K1G4R', 'B0CB5T79XG', 'B0C73PQ9KM', 'B0C28TBN79', 'B09T31ZRJF', 'B01LBOYWNO', 'B0DDTB25YZ', 'B0D1Q8GL1Y', 'B0CW9JC84B', 'B0CLGJG36H', 'B0CF9JWKHJ', 'B0C2J3V92Q', 'B0BVVYZ6TN', 'B0B8J8VF7C', 'B0B4BFVZD1', 'B09R1CPKVX', 'B0924BNVH2', 'B0F54M2147', 'B0F1BZNBY6', 'B0F1BXV9WG', 'B0DC957VHC', 'B0D8778SZB', 'B0CP9WVSRY', 'B0CKNQP1PT', 'B0CJ4PW758', 'B0BYFD87C6', 'B0B492K9KT', 'B09968XMC7', 'B0FGJ8RCW1', 'B0FGJ4WK8B', 'B0FFMYGWHP', 'B0FD3DLFKL', 'B0FBWRWXG2', 'B0F99RW38N', 'B0F62LZ4G3', 'B0F629FLVV', 'B0F2N88DS9', 'B0F23Y11GD', 'B0F1YV8T2S', 'B0DXK9PR5X', 'B0DRV7QZ85', 'B0DRV7LN4V', 'B0DR4QYC2M', 'B0D5QL869M', 'B0D41VK3YL', 'B0D3XBW4KT', 'B0D2KW1ZRL', 'B0CPPC6PDW', 'B0CHVPSJ61', 'B0C5C1V5JD', 'B0C232Z6C6', 'B0C22KBMJC', 'B0BZVL6Y9X', 'B0BX58MW7N', 'B0B9M86GMC', 'B08DQVJ2VB', 'B07WKYLJ3T', 'B092D7P9BP', 'B0F9W2MZJY', 'B09KXV2C3T', 'B092D7TM65', 'B0CR3P2F5L', 'B0BWCSCYFL', 'B08JLW8S3Y', 'B0D4H73BJH', 'B08D77WTYG', 'B08D73XW2J', 'B09H4RB4ZL', 'B09WMQ29GH', 'B0DJ2M2RYC', 'B0BGF2QCKT', 'B0DS6FC8M7', 'B098QFLVDZ', 'B0DMD16GTD', 'B0CNVLLQ3J', 'B0CP3JZ1P5', 'B0C1GR4K6W', 'B0CBM792D2', 'B09NJK6K5T', 'B0D8Q5MK31', 'B0CYSCV19T', 'B0C5D5XPLJ', 'B09R3NFGH2', 'B09BG1QD9M', 'B092QY1823', 'B0C55PGK51', 'B0DRN8MXRG', 'B08152JKFB', 'B09Y1P7GK7', 'B0CG62X5GT', 'B0DHJKKZDD', 'B0DYHZ59YL', 'B0D2D5WS2D', 'B0G6LHVRKG', 'B0DQ53F84K', 'ASDASD', 'B0CJTCGDB7232', 'B0CJTCGDB7213', 'B0CJTCGDB79', 'B0CJTCGDB78', 'B0CJTCGDB77', 'B0CJTCGDB76', 'B0CJTCGDB75', 'B0CJTCGDB74', 'B0CJTCGDB73', 'B0CJTCGDB72', 'B0CJTCGDB71', 'B0CJTCGDB7', '1'], 'UK': ['B0FGJD2P9Q', 'B0DKBSWJ93', 'B0DJT78FNR', 'B0DFCR79L5', 'B0DCBJ3WY5', 'B0D9LPW1YB', 'B0D7VDQG19', 'B0CP5K31TL', 'B0CG3RG7RQ', 'B0C8DSPMNC', 'B0B6H8RCHC', 'B08TVWB36K', 'B08FZMZQ11', 'B0G6LHVRKG', 'B0FF36SY6Q', 'B0DYTNBMB2', 'B0DQNLGSMQ', 'B0DNSNN7NH', 'B0DJWHHFBS', 'B0DJHSJ9LS', 'B0D2D5WS2D', 'B0CG8RNWL6', 'B0C5D5XPLJ', 'B09WHYGBSR', 'B09WHV9JCJ', 'B09P4VCL2V', 'B09MYVN5YK', 'B09MBNG7P4', 'B0DM63394K', 'B0D1Q4RR99', 'B0CZD1HLY7', 'B0CWD9R2FS', 'B0CS6WYRFW', 'B0CRVTSQGQ', 'B0CR8FTHYP', 'B0CCB5Q5ZY', 'B0CC94W5G7', 'B0CC948Q8Q', 'B0CC93R18S', 'B0CC92F33P', 'B0BZ4DNWPY', 'B0BZ4CMQDL', 'B07Q4RBT32', 'B0DHX32XJH', 'B0DHX1HR7X', 'B0DHTT1X71', 'B0DHTRLQ2L', 'B0DHL7FQJM', 'B0D3V1BJX9', 'B0D3TZ45C3', 'B0D2SDNYS5', 'B0CQY5SM94', 'B0CQLN2FC1', 'B0CQF6W2JT', 'B0BY85GDF5', 'B0BY82BRTZ', 'B0B73K6QZQ', 'B0B4MDDD7D', 'B0F1X5Q9Q6', 'B0DYHPWTVJ', 'B0DQNJPS5M', 'B0DQ4B5SF7', 'B0DNZ5WX1L', 'B0DKX28SNX', 'B0DHVTGXPD', 'B0DHDBN98L', 'B0DFXRP8X1', 'B0DFGPGXY6', 'B0D8JV9MB9', 'B0D2KCRLJ1', 'B0CW63X5XY', 'B0CRVRDS8C', 'B0CRHWLDY4', 'B0CLZBR5CM', 'B0CL67FJFL', 'B0CG2C89ZZ', 'B0BP7YMCXH', 'B0BM8Y94QC', 'B0BJKBRTK7', 'B0BCL2DLPC', 'B0B6PSLTPF', 'B0B6PS4RQ1', 'B0B5L4HC95', 'B08ZT1PJ2K', 'B0FGQ31VWT', 'B0FFT33WRF', 'B0FD3S6DRN', 'B0F2GBR7MP', 'B0F2G5TG4S', 'B0F2FZVS7X', 'B0F2FYW3HN', 'B0F2B6924H', 'B0DSJMMMXN', 'B0DJT68ZM3', 'B0DJT66VG3', 'B0DJT5YJXD', 'B0DCGSFTYX', 'B0D8C6KL4G', 'B0C9H8MJC3', 'B0C85JQNRC', 'B0C5QQFN1G', 'B0BZ8FXRZG', 'B0BS8SW341', 'B0FLVP9N4Y', 'B0F2MPWSCQ', 'B0F29CFJJ9', 'B0DSKC1GQB', 'B0DSCBZSGS', 'B0DSCB329P', 'B0DLNXW8W5', 'B0DJQHVBZZ', 'B0DGCW7WBY', 'B0DFTG85NG', 'B0D99N1DZY', 'B0D8B849BJ', 'B0D89YCGCR', 'B0D89WK6JF', 'B0D89PMKKP', 'B0D7X1634D', 'B0D7V3W7D1', 'B0CYT3R89Z', 'B0CY7P61VD', 'B0CQ8B9PZM', 'B0CNK1SV4P', 'B0CF4K1G4R', 'B0CF4JJXHY', 'B0CF4BJ42D', 'B0C6T346MQ', 'B0BX2KDVMY', 'B0BR4YWSF9', 'B0BR4XHP5Z', 'B09Z68FK4Q', 'B09SL3PTTM', 'B09JBQZQQL', 'B08PSSRS3C', 'B08G4P4F76', 'B0DRD7T6TQ', 'B0DQXT78DT', 'B0DQXRV47R', 'B0DQXRV18S', 'B0DQXRLK5X', 'B0DQXQNL6Z', 'B0D2KQVS2Y', 'B0CXJC74TK', 'B0CW9JC84B', 'B0CSYBNXWX', 'B0CRHSTGX6', 'B0CPPJTX5C', 'B0CJB9WFHD', 'B0CF9JWKHJ', 'B0BVVYZ6TN', 'B0BND2YKJF', 'B09TRCQNQH', 'B09H5J6YQX', 'B09CNRP5FJ', 'B08BZ9LW9Z', 'B0F54M2147', 'B0F388HQLY', 'B0F1BZNBY6', 'B0F1BXV9WG', 'B0DSD949P4', 'B0DFQ2FP96', 'B0D9YXGFQW', 'B0CP9WVSRY', 'B0CKZ35SJC', 'B0CHYNDX87', 'B0CH66SNFC', 'B0BHSWP8RD', 'B0BGRW6858', 'B0B6JKD25B', 'B0B1LJB3M5', 'B09P3S4SH5', 'B09NLSRHGV', 'B0FVDPV5NS', 'B0FQJ5CDL2', 'B0FLJLWTLV', 'B0FGQ1VP2J', 'B0FD6YL7MM', 'B0FBWP9GJL', 'B0F99RW38N', 'B0F3Y3M538', 'B0F27ZM2TG', 'B0F23Y11GD', 'B0F23WZ78P', 'B0F1MY4PF6', 'B0DXKC6H1G', 'B0DQLNTLF4', 'B0DM8DYG77', 'B0DHJNBFVH', 'B0DH1XKG95', 'B0DFYG7C4K', 'B0DFTR1CMN', 'B0DB8FM915', 'B0D5H65VW3', 'B0D3XBW4KT', 'B0CRKJWJ4X', 'B0CPPGX6FQ', 'B0CPPGSBHD', 'B0CL9PVZD1', 'B0C232Z6C6', 'B0C22KBMJC', 'B0BX58MW7N', 'B0B6T3N5MG', 'B0B4S9QYWM', 'B0B4S93T7Q', 'B09R1PMW3J', 'B08MLN92JM', 'B0BHN71FWM', 'B09NKRWXPC', 'B0C89TNVTN', 'B0D1VDMZR1', 'B0DS2QT1YZ', 'B09Y29P5YF', 'B0DBQDSHVZ', 'B0CFF62JY3', 'B0BHPGTWQR', 'B0D4F4D3W2', 'B0F13BRF4V', 'B0D1FXTY99', 'B00KY0LLFO', 'B0B7MJXDZC', 'B0B4DV8NLV', 'B0DJXRFCF7', 'B0BPHMFD7V', 'B0F281ZQWR', 'B0D7V2FNW3', 'B0D57X7KV9', 'B0CJ2SST5Z', 'B0CZ92LPP4', 'B0CG5Z2Z44', 'B0D6T9H5LX', 'B0CQJNR9MP', 'ZXCA', 'B0CJTGDB7232', 'B0CJTGDB7213', 'B0CJTGDB79', 'B0CJTGDB78', 'B0CJTGDB77', 'B0CJCGDB76', 'B0CJCGDB75', 'B0CJCGDB74', 'B0CJCGDB73', 'B0CJCGDB72', 'B0CJCGDB71', 'B0CJCGDB7', 'B0CTCGDB7', 'B0FGTNLTG3', 'WQDASDAS', 'SADAD', 'DFHFGH78979'], 'FR': ['B0FY6JY4BF', 'B0DZNRB5Q1', 'B0DNSKFLGK', 'B0DGLCQDTR', 'B0D9W93869', 'B0CG8RNWL6', 'B0BX94RYT1', 'B0BLN7D2JZ', 'B09WHV9JCJ', 'B0DKX28SNX', 'B0CZCVTMRJ', 'B0CC95H28M', 'B0CC942XSZ', 'B0CC93WW6S', 'B0CC93TDB9', 'B0816GGCFY', 'B0CQY5SM94', 'B0DQTKRNLH', 'B0DCB85F3J', 'B0D8JR3W53', 'B0D2KCRLJ1', 'B0CQK7QWJB', 'B0B9XM29C9', 'B0B5L4HC95', 'B0F9FCT8RD', 'B0BZ8J16JM', 'B0BV1TRMGN', 'B09G68LMB3', 'B0DCRJSMJP', 'B093Y447R2', 'B0D8Y5KWB8', 'B0BJK43Z6X', 'B0DXK7YZ5D', 'B0C232Z6C6', 'B0BZVL6Y9X', 'B0B4S98HLZ', 'B09VPMBMB8', 'B0D17L6YKN'], 'IT': ['B0DTK87KJ5', 'B0DNSNN7NH', 'B0D9W93869', 'B0CLXZHM2G', 'B0CG8RNWL6', 'B0BX94RYT1', 'B0BVM53J3B', 'B0BLN7D2JZ', 'B0F9KVS6Y2', 'B0F8QGHMLL', 'B0CY5KW8RY', 'B0CC94P4H1', 'B0CC94K2HN', 'B0CC922QN8', 'B0C7Q51PL1', 'B0D8JR3W53', 'B0B5L4HC95', 'B0C5C53444', 'B0F5PRVRLF', 'B0BJK43Z6X', 'B09WKFD3G8', 'B08NT2BNGH', 'B0DRV6D214', 'B08QRKHD3C', 'B09JMW3F1R', 'B0CKYHTDJ5', 'B098QFLVDZ', '32EGDFGS4', 'B087JP6PWL89'], 'ES': ['B0D2J11TKY', 'B0CLY2THTY', 'B0D8JS8NPH', 'B0CYGSBXSQ', 'B0CKXMDBN8', 'B0CJ5F9J4Z', 'B0CC95XMD4', 'B0CC93ZNH2', 'B07L281N1M', 'B0DNZ5N7HY', 'B0C7V4BFSZ', 'B0B5L4HC95', 'B0DZCC4B4T', 'B0DZBQ4ZNC', 'B0C5QQFN1G', 'B0BFXD4LYN', 'B0F3122Q81', 'B0BG73XTFC', 'B0CNM269LZ', 'B08QS37RHQ', 'B087JP6PWL89']}, 'skip_asins_by_country': {'DE': ['B0FMKM1BYH', 'B0DJT78FNR', 'B0DJLJ73RB', 'B0D6QL2JMY', 'B0CFKLPKF5', 'B09BMWX6Q1', 'B07C4MNWFL', 'B0FHDGLQK7', 'B0FHD9S7K7', 'B0FB2FB6G6', 'B0F9W8VXWQ', 'B0F9W81F2F', 'B0F9W7KLNM', 'B0F2ZJWJNC', 'B0D49F7LM4', 'B0CXSP3PDP', 'B0CLXZHM2G', 'B0CG8RNWL6', 'B0C4SZ8GZW', 'B0BVM53J3B', 'B0BNHN9N9X', 'B0BMXBNMP5', 'B0BLN7D2JZ', 'B09MYVN5YK', 'B09MBNG7P4', 'B0DXTSTZC6', 'B0D25871WL', 'B0CL69XRTY', 'B0CKXMDBN8', 'B0CGDF2G8V', 'B0CFTGXVYF', 'B0CFT6XPPD', 'B09YXTN8JP', 'B0DHX32XJH', 'B0DHL7FQJM', 'B0DHL63M79', 'B0CWXYY74V', 'B0CWXYRGZW', 'B0CPLR6YHB', 'B0BXP4RC25', 'B0BFRRZDCH', 'B0B65R3N47', 'B0F36ZSWTQ', 'B0DT1DYWC6', 'B0DNZ5WX1L', 'B0DNZ5N7HY', 'B0DCJJ3PCM', 'B0D8JV9MB9', 'B0D2KCRLJ1', 'B0CRVRDS8C', 'B0CQK7QWJB', 'B0CQK5SRXW', 'B0BCL2DLPC', 'B0B9JBHPFY', 'B09TVY4V8Z', 'B0FJBD6Q3D', 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'minimumPrice': ''}, {'asin': 'B0CC94K2HN', 'minimumPrice': ''}, {'asin': 'B0CC922QN8', 'minimumPrice': ''}, {'asin': 'B0C7Q51PL1', 'minimumPrice': ''}, {'asin': 'B0D8JR3W53', 'minimumPrice': ''}, {'asin': 'B0B5L4HC95', 'minimumPrice': ''}, {'asin': 'B0C5C53444', 'minimumPrice': ''}, {'asin': 'B0F5PRVRLF', 'minimumPrice': ''}, {'asin': 'B0BJK43Z6X', 'minimumPrice': ''}, {'asin': 'B09WKFD3G8', 'minimumPrice': ''}, {'asin': 'B08NT2BNGH', 'minimumPrice': ''}, {'asin': 'B0DRV6D214', 'minimumPrice': '20.50'}, {'asin': 'B08QRKHD3C', 'minimumPrice': '38.36'}, {'asin': 'B09JMW3F1R', 'minimumPrice': '28.64'}, {'asin': 'B0CKYHTDJ5', 'minimumPrice': '24.05'}, {'asin': 'B098QFLVDZ', 'minimumPrice': '77.89'}, {'asin': '32EGDFGS4', 'minimumPrice': '56.00'}, {'asin': 'B087JP6PWL89', 'minimumPrice': ''}], 'ES': [{'asin': 'B0D2J11TKY', 'minimumPrice': ''}, {'asin': 'B0CLY2THTY', 'minimumPrice': ''}, {'asin': 'B0D8JS8NPH', 'minimumPrice': ''}, {'asin': 'B0CYGSBXSQ', 'minimumPrice': ''}, {'asin': 'B0CKXMDBN8', 'minimumPrice': ''}, {'asin': 'B0CJ5F9J4Z', 'minimumPrice': ''}, {'asin': 'B0CC95XMD4', 'minimumPrice': ''}, {'asin': 'B0CC93ZNH2', 'minimumPrice': ''}, {'asin': 'B07L281N1M', 'minimumPrice': ''}, {'asin': 'B0DNZ5N7HY', 'minimumPrice': ''}, {'asin': 'B0C7V4BFSZ', 'minimumPrice': ''}, {'asin': 'B0B5L4HC95', 'minimumPrice': ''}, {'asin': 'B0DZCC4B4T', 'minimumPrice': ''}, {'asin': 'B0DZBQ4ZNC', 'minimumPrice': ''}, {'asin': 'B0C5QQFN1G', 'minimumPrice': ''}, {'asin': 'B0BFXD4LYN', 'minimumPrice': '33.02'}, {'asin': 'B0F3122Q81', 'minimumPrice': ''}, {'asin': 'B0BG73XTFC', 'minimumPrice': ''}, {'asin': 'B0CNM269LZ', 'minimumPrice': '9.24'}, {'asin': 'B08QS37RHQ', 'minimumPrice': '42.40'}, {'asin': 'B087JP6PWL89', 'minimumPrice': ''}]}, 'minimum_price_by_country_and_asin': {}, 'skip_asin_delete_policy': {'enabled': True, 'mode': 'DELETE_WHEN_PRICE_BELOW_MINIMUM', 'deleteWhenPriceBelowMinimum': True, 'compareField': 'price', 'thresholdField': 'minimumPrice', 'target': 'skip_asin', 'source': 'frontend-price-track'}, 'delete_skip_asin_when_price_below_minimum': True, 'deleteSkipAsinWhenPriceBelowMinimum': True, 'asin_rows_by_country': {}, 'taskId': 5658, 'resultId': 7627, 'shopName': '郭锋滨', 'shopId': '27769139291498', 'platformName': '亚马逊', 'companyName': '尾号5578的公司115', 'shopMallName': '', 'matchStatus': 'MATCHED', 'matchMessage': None, 'outputFilename': None, 'downloadUrl': None, 'taskStatus': 'RUNNING', 'loopRunId': 235, 'roundIndex': 1}} price_cls = PriceTask(user_info) price_cls.process_task(task_data)