crawler-plugin/app/amazon/price_match.py

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 None  # 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)
                    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(info_mes, "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:
                    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")
                        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")

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', 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'minimumPrice': '15.04'}, {'asin': 'B0CJ2SST5Z', 'minimumPrice': '21.25'}, {'asin': 'B0CZ92LPP4', 'minimumPrice': '8.74'}, {'asin': 'B0CG5Z2Z44', 'minimumPrice': '13.24'}, {'asin': 'B0D6T9H5LX', 'minimumPrice': '14.42'}, {'asin': 'B0CQJNR9MP', 'minimumPrice': '10.64'}, {'asin': 'ZXCA', 'minimumPrice': '60.00'}, {'asin': 'B0CJTGDB7232', 'minimumPrice': '854.00'}, {'asin': 'B0CJTGDB7213', 'minimumPrice': '54.00'}, {'asin': 'B0CJTGDB79', 'minimumPrice': '54.00'}, {'asin': 'B0CJTGDB78', 'minimumPrice': '54.00'}, {'asin': 'B0CJTGDB77', 'minimumPrice': '4.00'}, {'asin': 'B0CJCGDB76', 'minimumPrice': '458.00'}, {'asin': 'B0CJCGDB75', 'minimumPrice': '45.00'}, {'asin': 'B0CJCGDB74', 'minimumPrice': '45.00'}, {'asin': 'B0CJCGDB73', 'minimumPrice': '485.00'}, {'asin': 'B0CJCGDB72', 'minimumPrice': '545.00'}, {'asin': 'B0CJCGDB71', 'minimumPrice': '545.00'}, {'asin': 'B0CJCGDB7', 'minimumPrice': '854.00'}, {'asin': 'B0CTCGDB7', 'minimumPrice': '84.00'}, {'asin': 'B0FGTNLTG3', 'minimumPrice': '56.00'}, {'asin': 'B0D57X7KV9', 'minimumPrice': '11.07'}, {'asin': 'B0D1VDMZR1', 'minimumPrice': '23.73'}, {'asin': 'B0DS2QT1YZ', 'minimumPrice': '19.36'}, {'asin': 'WQDASDAS', 'minimumPrice': '60.00'}, {'asin': 'B0BHPGTWQR', 'minimumPrice': '28.48'}, {'asin': 'SADAD', 'minimumPrice': '50.00'}, {'asin': 'DFHFGH78979', 'minimumPrice': '34.00'}], 'FR': [{'asin': 'B0FY6JY4BF', 'minimumPrice': ''}, {'asin': 'B0DZNRB5Q1', 'minimumPrice': ''}, {'asin': 'B0DNSKFLGK', 'minimumPrice': ''}, {'asin': 'B0DGLCQDTR', 'minimumPrice': ''}, {'asin': 'B0D9W93869', 'minimumPrice': ''}, {'asin': 'B0CG8RNWL6', 'minimumPrice': ''}, {'asin': 'B0BX94RYT1', 'minimumPrice': ''}, {'asin': 'B0BLN7D2JZ', 'minimumPrice': ''}, {'asin': 'B09WHV9JCJ', 'minimumPrice': ''}, {'asin': 'B0DKX28SNX', 'minimumPrice': ''}, {'asin': 'B0CZCVTMRJ', 'minimumPrice': ''}, {'asin': 'B0CC95H28M', 'minimumPrice': ''}, {'asin': 'B0CC942XSZ', 'minimumPrice': ''}, {'asin': 'B0CC93WW6S', 'minimumPrice': ''}, {'asin': 'B0CC93TDB9', 'minimumPrice': ''}, {'asin': 'B0816GGCFY', 'minimumPrice': ''}, {'asin': 'B0CQY5SM94', 'minimumPrice': ''}, {'asin': 'B0DQTKRNLH', 'minimumPrice': ''}, {'asin': 'B0DCB85F3J', 'minimumPrice': ''}, {'asin': 'B0D8JR3W53', 'minimumPrice': ''}, {'asin': 'B0D2KCRLJ1', 'minimumPrice': ''}, {'asin': 'B0CQK7QWJB', 'minimumPrice': ''}, {'asin': 'B0B9XM29C9', 'minimumPrice': ''}, {'asin': 'B0B5L4HC95', 'minimumPrice': ''}, {'asin': 'B0F9FCT8RD', 'minimumPrice': ''}, {'asin': 'B0BZ8J16JM', 'minimumPrice': ''}, {'asin': 'B0BV1TRMGN', 'minimumPrice': ''}, {'asin': 'B09G68LMB3', 'minimumPrice': ''}, {'asin': 'B0DCRJSMJP', 'minimumPrice': '10.72'}, {'asin': 'B093Y447R2', 'minimumPrice': '79.17'}, {'asin': 'B0D8Y5KWB8', 'minimumPrice': ''}, {'asin': 'B0BJK43Z6X', 'minimumPrice': ''}, {'asin': 'B0DXK7YZ5D', 'minimumPrice': '15.06'}, {'asin': 'B0C232Z6C6', 'minimumPrice': '48.25'}, {'asin': 'B0BZVL6Y9X', 'minimumPrice': '54.37'}, {'asin': 'B0B4S98HLZ', 'minimumPrice': '14.61'}, {'asin': 'B09VPMBMB8', 'minimumPrice': '18.01'}, {'asin': 'B0D17L6YKN', 'minimumPrice': '16.95'}], 'IT': [{'asin': 'B0DTK87KJ5', 'minimumPrice': ''}, {'asin': 'B0DNSNN7NH', 'minimumPrice': ''}, {'asin': 'B0D9W93869', 'minimumPrice': ''}, {'asin': 'B0CLXZHM2G', 'minimumPrice': ''}, {'asin': 'B0CG8RNWL6', 'minimumPrice': ''}, {'asin': 'B0BX94RYT1', 'minimumPrice': ''}, {'asin': 'B0BVM53J3B', 'minimumPrice': ''}, {'asin': 'B0BLN7D2JZ', 'minimumPrice': ''}, {'asin': 'B0F9KVS6Y2', 'minimumPrice': ''}, {'asin': 'B0F8QGHMLL', 'minimumPrice': ''}, {'asin': 'B0CY5KW8RY', 'minimumPrice': ''}, {'asin': 'B0CC94P4H1', '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)