craw_spider/spiders/ybm/main.py

from playwright.sync_api import sync_playwright, TimeoutError as PlaywrightTimeoutError
from logger_config import logger
from datetime import datetime
import random
import os
import time
import json
from config import *
import re
import requests
import base64
from io import BytesIO
from PIL import Image
import traceback
from feishu_webhook import send_text as feishu_send_text, send_error_card as feishu_send_error_card

# mysql_pool 由 config.mysql_pool（MySQLPoolOnline）提供

# 加载城市JSON数据（全局只加载一次）
CITY_JSON_PATH = "city.json"

# 全局映射字典
PROVINCE_ID_MAP = {}           # 省名 -> 省ID
CITY_ID_MAP = {}               # (省名, 市名) -> 市ID
CITY_TO_PROVINCES_MAP = {}     # 市名 -> 省名集合（用于城市反推省份）
DIRECT_MUNICIPALITIES = {"北京市", "上海市", "天津市", "重庆市"}
DIRECT_MUNICIPALITY_BASE_NAMES = {"北京", "上海", "天津", "重庆"}
DIRECT_MUNICIPALITY_ALIAS = {
    "北京": "北京市",
    "上海": "上海市",
    "天津": "天津市",
    "重庆": "重庆市",
}


def load_city_mapping():
    """加载 city.json 并构建快速查找字典"""
    global PROVINCE_ID_MAP, CITY_ID_MAP, CITY_TO_PROVINCES_MAP
    PROVINCE_ID_MAP.clear()
    CITY_ID_MAP.clear()
    CITY_TO_PROVINCES_MAP.clear()

    if not os.path.exists(CITY_JSON_PATH):
        logger.error(f"❌ 城市JSON文件不存在：{CITY_JSON_PATH}")
        return
    try:
        with open(CITY_JSON_PATH, "r", encoding="utf-8") as f:
            data = json.load(f)
        for province_item in data:
            p_name = province_item['name']
            p_id = province_item['id']
            PROVINCE_ID_MAP[p_name] = p_id

            for city_item in province_item.get('sons', []):
                c_name = city_item['name']
                c_id = city_item['id']
                CITY_ID_MAP[(p_name, c_name)] = c_id
                CITY_TO_PROVINCES_MAP.setdefault(c_name, set()).add(p_name)
        logger.info(f"✅ 城市映射加载完成，共 {len(PROVINCE_ID_MAP)} 个省份，{len(CITY_ID_MAP)} 个城市")
    except Exception as e:
        logger.error(f"❌ 加载城市JSON失败：{str(e)}")


def _clean_province_name(name: str) -> str:
    return (name or "").replace("省", "").replace("市", "").replace("自治区", "").replace("特别行政区", "").strip()


def _clean_city_name(name: str) -> str:
    return (name or "").replace("市", "").replace("自治州", "").replace("地区", "").replace("盟", "").strip()


def normalize_province_city_names(province_name: str, city_name: str):
    """标准化省市名称，并在“省份缺失+城市唯一”时反推省份。"""
    province = (province_name or "").strip()
    city = (city_name or "").strip()

    # 标准化省份名称（保留直辖市的“北京市/上海市”等完整写法）
    if province and province not in DIRECT_MUNICIPALITIES and province not in PROVINCE_ID_MAP:
        clean_p = _clean_province_name(province)
        for standard_name in PROVINCE_ID_MAP.keys():
            if clean_p and clean_p == _clean_province_name(standard_name):
                province = standard_name
                break

    # 省份为空时，按“城市唯一”精确反推省份
    if not province and city:
        matched_provinces = CITY_TO_PROVINCES_MAP.get(city, set())
        if not matched_provinces:
            clean_c = _clean_city_name(city)
            if clean_c:
                matched_provinces = {
                    p_name
                    for (p_name, c_name) in CITY_ID_MAP.keys()
                    if _clean_city_name(c_name) == clean_c
                }

        if len(matched_provinces) == 1:
            province = next(iter(matched_provinces))
        elif len(matched_provinces) > 1:
            logger.warning(
                f"⚠️ 城市名存在跨省重名，无法唯一反推省份: city={city}, candidates={sorted(matched_provinces)}"
            )

    if province in DIRECT_MUNICIPALITY_BASE_NAMES:
        province = DIRECT_MUNICIPALITY_ALIAS[province]

    # 标准化城市名称（仅在省份确定后做同省映射，避免跨省误匹配）
    if province and city and (province, city) not in CITY_ID_MAP:
        clean_c = _clean_city_name(city)
        for (p_name, c_name), _ in CITY_ID_MAP.items():
            if _clean_province_name(p_name) == _clean_province_name(province) and clean_c and _clean_city_name(c_name) == clean_c:
                city = c_name
                break

    # 直辖市兜底
    if province in DIRECT_MUNICIPALITIES and not city:
        city = province

    return province, city


def get_province_city_ids(province_name, city_name):
    """
    根据省份名称和城市名称返回对应的ID
    :return: (province_id, city_id) 若找不到返回 (0, 0)
    """
    province_name, city_name = normalize_province_city_names(province_name, city_name)

    # ---- 查找省份ID ----
    province_id = PROVINCE_ID_MAP.get(province_name) if province_name else None
    if province_name and province_id is None:
        # 尝试去掉"省"、"自治区"、"市"后缀再匹配
        clean_p = _clean_province_name(province_name)
        for name, pid in PROVINCE_ID_MAP.items():
            if clean_p and clean_p == _clean_province_name(name):
                province_id = pid
                province_name = name   # 更新为标准名称，方便后续查城市
                break
        if province_id is None:
            logger.warning(f"⚠️ 未找到省份ID: {province_name}")
            province_id = 0
    elif province_id is None:
        province_id = 0

    # 直辖市兜底：省份有值但城市为空时，城市按省份补齐
    if _clean_province_name(province_name) in DIRECT_MUNICIPALITY_BASE_NAMES and not city_name:
        city_name = f"{_clean_province_name(province_name)}市"

    # ---- 查找城市ID ----
    city_id = CITY_ID_MAP.get((province_name, city_name)) if province_name and city_name else None
    if province_name and city_name and city_id is None:
        # 尝试去掉"市"、"自治州"等后缀
        clean_c = _clean_city_name(city_name)
        for (p_name, c_name), cid in CITY_ID_MAP.items():
            if p_name == province_name:
                if clean_c and clean_c == _clean_city_name(c_name):
                    city_id = cid
                    city_name = c_name
                    break

        if city_id is None:
            # 直辖市特殊处理：城市ID与省份ID相同（或取第一个下属城市）
            if _clean_province_name(province_name) in DIRECT_MUNICIPALITY_BASE_NAMES and province_id:
                city_id = province_id
            else:
                logger.warning(f"⚠️ 未找到城市ID: {province_name} - {city_name}")
                city_id = 0
    elif city_id is None:
        city_id = 0

    return province_id, city_id



# ===================== 工具函数：获取当前时间字符串 =====================
def get_current_time():
    """统一日志时间格式"""
    return datetime.now().strftime('%Y-%m-%d %H:%M:%S')


def report_start(task_id: int, keyword: str):
    """第一次上报：status=2 和 task_id"""
    payload = {
        "status": 2,
        "collect_task_allocate_id": task_id
    }
    logger.info("上报开始 task_id=%s keyword=%s payload=%s", task_id, keyword, payload)
    _send_report(payload, f"开始上报（status=2）关键词：{keyword}")

def report_end(task_id: int, keyword: str, company_id: int, success: bool,real_count: int, start_ts: int):
    """
    第二次上报：采集结束时调用，上传所有字段
    :param keyword: 关键词（用于日志）
    :param success: 采集是否成功
    :param company_id: 企业ID（从任务表获取）
    :param real_count: 实际采集到的商品数量
    :param start_ts: 开始采集时的Unix时间戳（秒）
    """
    end_ts = int(time.time())
    payload = {
        "collect_task_allocate_id": task_id,    #任务ID
        "status": 3 if success else 4,# 3=已完成，4=失败
        'finish_status': 1 if success else 0, # 1=是（采集最后的数据）0=否
        'real_count': real_count,
        "start_time": start_ts,
        "end_time": end_ts,
        # "enterprise_id": company_id
    }
    logger.info("上报结束 task_id=%s keyword=%s payload=%s", task_id, keyword, payload)
    _send_report(payload, f"结束上报（全部字段）关键词：{keyword}")

def _send_report(params: dict, log_msg: str):
    """通用上报请求，失败不中断主流程（与调度服务约定为 JSON POST）"""
    REPORT_URL = "https://scheduleapi.findit.ltd/api/collect_equipment_execute/result_report"
    try:
        resp = requests.post(REPORT_URL, json=params, timeout=10)
        if resp.status_code == 200:
            # 尝试解析 JSON
            try:
                data = resp.json()
                if data.get("code") == "success":
                    logger.info(f"✅ 上报成功：{log_msg}")
                else:
                    logger.warning(f"⚠️ 上报接口返回错误：code={data.get('code')}, msg={data.get('msg')}，参数：{params}")
            except ValueError:
                # 响应不是 JSON 格式
                logger.warning(f"⚠️ 上报响应非 JSON：{resp.text[:200]}，参数：{params}")
        else:
            logger.warning(f"⚠️ 上报 HTTP {resp.status_code}，参数：{params}")
    except Exception as e:
        logger.error(f"❌ 上报失败：{log_msg}，错误：{str(e)}")




def notify_feishu_after_report_end(
    task_id: int,
    keyword: str,
    company_id: int,
    success: bool,
    spec: str,
    real_count: int,
    start_ts: int,
    platform_name: str = "药帮忙",
    drug_name: str = "",
):
    """在任务上报结束后发送飞书通知。"""
    notice_time = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
    display_drug_name = (drug_name or keyword or "").strip()
    spec_items = [item.strip() for item in re.split(r"[|、，,\n\r]+", spec or "") if item.strip()]
    display_spec = "、".join(spec_items)

    text_msg = (
        f"{notice_time} 通知:\n"
        f"平台: {platform_name}, 药品: {display_drug_name}, 品规: {display_spec}, 爬取数据: {real_count}条"
    )

    try:
        if success:
            feishu_send_text(text_msg)
        else:
            feishu_send_error_card(
                task_name=display_drug_name,
                err_msg=(
                    f"task_id={task_id}, company_id={company_id}, "
                    f"real_count={real_count}, notice={text_msg}"
                ),
                mention_all=False,
            )
    except Exception as e:
        logger.warning(f"飞书通知发送失败：{e}")


# ==================== 2. 反爬工具函数 ====================
def random_delay(min_seconds, max_seconds):
    """生成随机延迟（核心反爬：避免固定间隔）"""
    delay = random.uniform(min_seconds, max_seconds)
    time.sleep(delay)
    return delay



def save_cookies(context, cookie_path=COOKIE_FILE_PATH):
    """保存Cookie到本地JSON文件"""
    try:
        cookies = context.cookies()
        with open(cookie_path, "w", encoding="utf-8") as f:
            json.dump(cookies, f, ensure_ascii=False, indent=2)
        logger.info(f"Cookie已保存到：{cookie_path}")
        return True
    except Exception as e:
        logger.error(f" 保存Cookie失败：{e}")
        return False



def load_cookies(context, cookie_path=COOKIE_FILE_PATH):
    """从本地JSON文件加载Cookie到浏览器上下文"""
    if not os.path.exists(cookie_path):
        logger.warning(f" Cookie文件不存在：{cookie_path}")
        return False
    try:
        with open(cookie_path, "r", encoding="utf-8") as f:
            cookies = json.load(f)
        context.add_cookies(cookies)
        logger.info(f"✅ 已从{cookie_path}加载Cookie")
        return True
    except Exception as e:
        logger.error(f" 加载Cookie失败：{e}")
        return False



def is_login(page):
    """验证是否已登录（核心：检测登录态）"""
    try:
        # 访问需要登录的页面
        page.goto(LOGIN_VALIDATE_URL, timeout=300000)
        page.wait_for_load_state("networkidle")

        # 检测是否跳转到登录页（URL包含login则未登录）
        if "login" in page.url.lower():
            logger.warning(" Cookie失效，需要重新登录")
            return False

        # 可选：检测登录后的专属元素（比如用户名、个人中心等）
        # if page.locator("用户中心选择器").count() > 0:
        #     return True
        logger.info(" Cookie有效，已保持登录状态")
        return True
    except Exception as e:
        logger.error(f" 验证登录状态失败：{e}")
        return False





# ==================== 滚动函数重构（核心修改） ====================
def slow_scroll_400px(page,scroll_distance1=400):
    """
    慢速滚动400px±50px（模拟真人滑动）
    :param page: 页面对象
    :return: 滚动是否成功
    """
    try:
        # 生成400±50px的随机滚动距离
        scroll_distance = random.randint(
            scroll_distance1 - SCROLL_OFFSET_RANGE,
            scroll_distance1 + SCROLL_OFFSET_RANGE
        )
        remaining_distance = scroll_distance
        total_steps = int(scroll_distance / SCROLL_STEP)

        logger.info(
            f"📜 开始慢速滚动（目标距离：{scroll_distance}px，总步数：{total_steps}，总时长约{total_steps*SCROLL_INTERVAL:.2f}秒）"
        )

        # 渐进式滚动（每步50px，间隔0.05秒）
        for _ in range(total_steps):
            step = min(SCROLL_STEP, remaining_distance)
            page.evaluate(f"window.scrollBy(0, {step});")
            remaining_distance -= step
            time.sleep(SCROLL_INTERVAL)

        # 处理剩余不足一步的距离
        if remaining_distance > 0:
            page.evaluate(f"window.scrollBy(0, {remaining_distance});")
            time.sleep(SCROLL_INTERVAL)

        # 滚动后等待懒加载完成
        page.wait_for_load_state("networkidle", timeout=8000)
        random_delay(2.0, 3.0)  # 滚动后额外停顿，模拟真人
        logger.info(f" 慢速滚动完成，实际滚动距离：{scroll_distance - remaining_distance}px")
        return True
    except Exception as e:
        logger.warning(f" 慢速滚动失败：{e}")
        return False





# ==================== 登录函数 ====================
def login_operation(page, username, password):
    """登录操作函数"""
    try:
        # 输入手机号（直接用单个变量）
        page.wait_for_selector(USERNAME_SELECTOR, timeout=ELEMENT_TIMEOUT, state="visible")
        page.wait_for_timeout(timeout=3000)
        page.fill(USERNAME_SELECTOR, username)
        logger.info(" 已输入登录账号")

        # 输入密码
        page.wait_for_selector(PASSWORD_SELECTOR, timeout=ELEMENT_TIMEOUT, state="visible")
        page.wait_for_timeout(timeout=3000)
        page.fill(PASSWORD_SELECTOR, password)
        logger.info(" 已输入登录密码")

        random_delay(1, 2)
        agree_btn = page.locator('span.el-checkbox__inner')
        agree_btn.click()

        # 点击登录按钮
        page.wait_for_selector(LOGIN_BTN_SELECTOR, timeout=ELEMENT_TIMEOUT)
        page.wait_for_timeout(timeout=3000)
        page.click(LOGIN_BTN_SELECTOR)
        logger.info(" 已点击登录按钮")

        page.wait_for_timeout(LOGIN_AFTER_CLICK)
        return True

    except PlaywrightTimeoutError as e:
        logger.error(f" 登录失败：元素定位超时 - {str(e)}")
        return False
    except Exception as e:
        logger.error(f" 登录异常：{str(e)}")
        return False



def kill_masks(page):
    """
    强制清理残留遮罩层/覆盖层，并恢复 body 可滚动、可点击状态
    """
    page.evaluate(r"""
    () => {
      const removed = [];
      const hidden = [];

      // 1) 先处理已知常见遮罩
      const knownSelectors = [
        '.v-modal',
        '.el-overlay',
        '.el-overlay-dialog',
        '.el-dialog__wrapper',
        '.el-message-box__wrapper',
        '.el-loading-mask',
        '.el-popup-parent--hidden'
      ];

      for (const sel of knownSelectors) {
        document.querySelectorAll(sel).forEach(el => {
          // v-modal / overlay 直接 remove 最省事
          removed.push(sel);
          el.remove();
        });
      }

      // 2) 再做一次“泛化兜底”：全屏 fixed/absolute + 高 z-index 的覆盖层
      //    注意：不要误删页面正常的固定导航，所以加上“近似全屏”的判断
      const all = Array.from(document.querySelectorAll('body *'));
      for (const el of all) {
        const s = window.getComputedStyle(el);
        if (!s) continue;

        const z = parseInt(s.zIndex || '0', 10);
        const pos = s.position;
        const pe = s.pointerEvents;

        if ((pos === 'fixed' || pos === 'absolute') && z >= 1000 && pe !== 'none') {
          const r = el.getBoundingClientRect();
          const nearFullScreen =
            r.width >= window.innerWidth * 0.8 &&
            r.height >= window.innerHeight * 0.8 &&
            r.left <= window.innerWidth * 0.1 &&
            r.top <= window.innerHeight * 0.1;

          // 常见遮罩是半透明背景色，或者透明但拦截点击
          const bg = s.backgroundColor || '';
          const looksLikeMask =
            nearFullScreen && (bg.includes('rgba') || bg.includes('rgb') || s.opacity !== '1');

          if (nearFullScreen) {
            // 不管透明不透明，只要近似全屏且高 z-index，就先让它不拦截点击
            el.style.pointerEvents = 'none';
            el.style.display = 'none';
            hidden.push(el.tagName + '.' + (el.className || ''));
          }
        }
      }

      // 3) 恢复 body / html 的滚动与交互（很多弹窗会锁滚动）
      document.documentElement.style.overflow = 'auto';
      document.body.style.overflow = 'auto';
      document.body.style.position = 'static';
      document.body.style.width = 'auto';
      document.body.style.paddingRight = '0px';

      // 4) 去掉 Element-UI 常见的锁定 class
      document.body.classList.remove('el-popup-parent--hidden');

      return { removed, hiddenCount: hidden.length, hidden };
    }
    """)




def force_close_popup(page):
    """关闭新手引导/遮罩（多步：下一步/完成/我知道了），并兜底移除遮罩层"""
    try:
        # 1) 尝试连续点“下一步/完成/我知道了/关闭”
        for _ in range(5):  # 最多点5次，足够覆盖多步引导
            btn = page.locator(
                "//button[normalize-space()='下一步' or normalize-space()='完成' or normalize-space()='我知道了' or normalize-space()='关闭']"
            ).first

            if btn.count() > 0 and btn.is_visible():
                btn.click(timeout=1500)
                page.wait_for_timeout(300)
                continue

            # 有些引导是右上角 X（如果存在就点）
            close_icon = page.locator(
                "xpath=//*[contains(@class,'close') or contains(@class,'el-icon-close') or name()='svg' or name()='i'][1]"
            ).first
            if close_icon.count() > 0 and close_icon.is_visible():
                close_icon.click(timeout=1000)
                page.wait_for_timeout(300)
                continue

            break

        # 2) 兜底：移除常见遮罩层（element-ui / 通用 mask/overlay）
        page.evaluate("""
        const selectors = [
          '.v-modal', '.el-overlay', '.el-overlay-dialog', '.el-dialog__wrapper',
          '[class*="mask"]', '[class*="overlay"]', '[style*="z-index"]'
        ];
        for (const sel of selectors) {
          document.querySelectorAll(sel).forEach(el => {
            const s = window.getComputedStyle(el);
            // 只移除“覆盖层”倾向的元素：fixed/absolute 且 z-index 很高
            if ((s.position === 'fixed' || s.position === 'absolute') && parseInt(s.zIndex || '0', 10) >= 1000) {
              el.remove();
            }
          });
        }
        """)
    except Exception:
        pass


def pick_search_input(page):
    """优先选可见且可用的搜索输入框；第一个不行就尝试第二个"""
    inputs = page.locator(SEARCH_INPUT_SELECTOR)
    cnt = inputs.count()

    # 优先检查前两个（你说只有两个）
    for i in range(min(cnt, 2)):
        candidate = inputs.nth(i)
        try:
            candidate.wait_for(state="visible", timeout=1500)  # 小超时快速试探
            if candidate.is_enabled():
                return candidate
        except PlaywrightTimeoutError:
            continue

    # 兜底：直接找任意可见的（避免命中 hidden 模板）
    candidate = page.locator(f"{SEARCH_INPUT_SELECTOR}:visible").first
    candidate.wait_for(state="visible", timeout=ELEMENT_TIMEOUT)
    return candidate



def type_slow(locator, text: str, min_delay=0.06, max_delay=0.18):
    """逐字输入，模拟真人打字"""
    for ch in text:
        locator.type(ch, delay=int(random.uniform(min_delay, max_delay) * 1000))


# ==================== 搜索操作函数 ====================
def search_operation(page, keyword, is_first_search: bool = True):
    """
    搜索框填充+提交搜索
    :param page: 页面对象
    :param keyword: 搜索关键词
    :param is_first_search: 是否是首次搜索（首次开新页面，后续原页面跳转）
    :return: (detail_page, 是否成功)
    """
    try:
        # 1) 找到“可用”的搜索框（第一个不行就用第二个）
        search_locator = pick_search_input(page)

        # 清空并填充搜索框
        search_locator.wait_for(timeout=ELEMENT_TIMEOUT)

        # 2. 清空搜索框（双重保障：先调用locator的clear，再手动全选删除）
        search_locator.click(force=True)  # 聚焦
        search_locator.fill("")
        page.keyboard.down("Control")  # 按住Control键
        page.keyboard.press("a")       # 按a键
        page.keyboard.up("Control")    # 松开Control键

        page.keyboard.press("Backspace")  # 删除选中内容

        type_slow(search_locator, keyword, min_delay=0.06, max_delay=0.18)
        logger.info(f"📝 已输入搜索关键词：{keyword}")

        # 3) 搜索按钮也建议点可见的那个
        btn = page.locator(f"{SEARCH_BTN_SELECTOR}")
        btn.wait_for(state="visible", timeout=SEARCH_BTN_TIMEOUT)
        page.wait_for_timeout(3000)

        detail_page = page
        if is_first_search:
            #获取新页面对象
            try:
                # 先开始监听新页面事件（在点击前）
                with page.context.expect_page(timeout=60000) as new_page_info:
                    # 再执行点击操作
                    btn.click()
                # 点击后获取新页面
                detail_page = new_page_info.value
                detail_page.wait_for_load_state("networkidle", timeout=20000)
            except PlaywrightTimeoutError:
                logger.warning(f"{get_current_time()}   未检测到新标签页")
                return None, False

            except Exception as e:
                    logger.warning(f"{get_current_time()}   等待新标签页异常：{e}")
                    return None, False
        else:
            btn.click()
            # 等待原页面跳转并加载完成（替代新页面监听）
            page.wait_for_load_state("networkidle", timeout=20000)
            # 详情页就是原页面，无需新建
            detail_page = page
            logger.info("✅ 后续搜索：已在原页面完成跳转加载")


        test_btn = detail_page.locator("div[data-v-c65c36bc].first-time-highlight-message-btn button")
        btn_count = test_btn.count()
        logger.info(f"✅ 匹配到的元素数量：{btn_count}")

        if btn_count > 0:
            test_btn.wait_for(state="attached", timeout=5000)
            test_btn.click()

        force_close_popup(detail_page)
        kill_masks(detail_page)
        logger.info("✅ 已触发搜索")

        return detail_page, True

    except PlaywrightTimeoutError as e:
        logger.error(f" 搜索失败：元素定位超时 - {str(e)}")
        return None, False  # 失败时返回 (None, False)
    except Exception as e:
        logger.error(f" 搜索异常：{str(e)}")
        return None, False  # 失败时返回 (None, False)






#翻下一页
def goto_next_page(page) -> bool:
    """
    基于 button.btn-next 的 aria-disabled 属性判断是否有下一页
    :param page: 搜索结果页面对象（detail_page）
    :return: True=翻页成功，False=无下一页/翻页失败
    """
    try:
        next_btn = page.locator("button.btn-next").first

        # 2. 先等待按钮加载（确保元素存在）
        next_btn.wait_for(state="attached", timeout=3000)

        # 3. 获取 aria-disabled 属性值（核心判断依据）
        aria_disabled = next_btn.get_attribute("aria-disabled")
        logger.info(f"下一页按钮 aria-disabled 属性值：{aria_disabled}")

        # 4. 判断是否有下一页：aria-disabled="true" 表示无下一页
        if aria_disabled == "true":
            logger.warning("⚠️ 下一页按钮 aria-disabled=true，已无更多页面")
            return False

        page.wait_for_timeout(500)

         # 6. 确保按钮可见且可点击（强制点击兜底）
        if next_btn.is_visible() and next_btn.is_enabled():
            next_btn.click(timeout=5000)
        else:
            # 兜底：强制点击（避免元素不可见但实际可点击的情况）
            next_btn.click(force=True, timeout=5000)

        logger.info("✅ 翻页成功，下一页按钮 aria-disabled=false")
        return True


    except PlaywrightTimeoutError:
        logger.warning("⚠️ 下一页按钮加载超时，判定无更多页面")
        return False
    except Exception as e:
        logger.warning(f"⚠️ 翻页操作异常：{e}，判定无更多页面")
        return False


def popup_guard(page, tag=""):
    """
    全局弹窗/遮罩守卫：多步引导 + 关闭按钮 + 遮罩清理 + 恢复滚动
    tag 仅用于日志区分调用位置
    """
    try:
        # 给弹窗一点出现时间
        page.wait_for_timeout(300)

        # 1) 连续点“下一步/完成/我知道了/关闭”
        for _ in range(6):
            btn = page.locator(
                "xpath=//button[normalize-space()='下一步' or normalize-space()='完成' or normalize-space()='我知道了' or normalize-space()='关闭']"
            ).first
            if btn.count() > 0 and btn.is_visible():
                btn.click(timeout=1500)
                page.wait_for_timeout(250)
                continue

            # 2) 常见的 close icon
            close_btn = page.locator(
                "css=.el-dialog__headerbtn, .el-message-box__headerbtn, .close, .icon-close, .el-icon-close"
            ).first
            if close_btn.count() > 0 and close_btn.is_visible():
                close_btn.click(timeout=1200)
                page.wait_for_timeout(250)
                continue

            break

        # 3) 清遮罩 + 恢复滚动/交互
        page.evaluate(r"""
        () => {
          // 第一步：精准清理已知的遮罩/弹窗类名（Element UI框架常用）
          const selectors = [
            '.v-modal', '.el-overlay', '.el-overlay-dialog', '.el-dialog__wrapper',
            '.el-message-box__wrapper', '.el-loading-mask'
          ];
          selectors.forEach(sel => document.querySelectorAll(sel).forEach(e => e.remove()));

          // 泛化兜底：近似全屏 + 高 z-index 的层直接屏蔽
          const all = Array.from(document.querySelectorAll('body *'));
          for (const el of all) {
            const s = getComputedStyle(el); // 获取元素的实际样式（含CSS生效的样式）
            const z = parseInt(s.zIndex || '0', 10);    // 取元素的层级（z-index），默认0
            // 条件1：元素是固定/绝对定位（弹窗/遮罩常见定位方式）+ 层级≥1000（高优先级遮挡）+ 能拦截鼠标事件
            if ((s.position === 'fixed' || s.position === 'absolute') && z >= 1000 && s.pointerEvents !== 'none') {
              const r = el.getBoundingClientRect();     // 获取元素的尺寸和位置
                // 条件2：元素宽度/高度≥屏幕80%（近似全屏遮罩）
              const nearFull = r.width >= innerWidth * 0.8 && r.height >= innerHeight * 0.8;
              if (nearFull) {
                el.style.pointerEvents = 'none';    // 让元素不拦截鼠标点击
                el.style.display = 'none';          // 隐藏元素
              }
            }
          }
        // 第三步：恢复页面滚动功能（弹窗常把页面设为不可滚动）
          document.documentElement.style.overflow = 'auto';     // html标签恢复滚动
          document.body.style.overflow = 'auto';    // body标签恢复滚动
          document.body.classList.remove('el-popup-parent--hidden');  // 移除Element UI的滚动禁用类
        }
        """)

        logger.info("杀除弹窗成功")
    except Exception:
        pass




#判断店名是否已经在数据库
def shop_is_exists_database(shop):
    query_sql = """
            SELECT province, city, business_license_company, qualification_number, business_license_address
            FROM retrieve_ybm_shop_info_middle
            WHERE shop = %s
            """
    try:
        rows = mysql_pool.select_data(query_sql, (shop,))
        result = rows[0] if rows else None

        logger.debug("店铺存在校验 shop=%r result=%s", shop, result)

        is_exists = bool(result)
        if is_exists:
            logger.info(f"【店铺存在校验】店铺已存在 | 店铺名：{repr(shop)} | 结果：存在（True）不要执行采集店铺")
        else:
            logger.info(f"【店铺存在校验】店铺不存在 | 店铺名：{repr(shop)} | 结果：不存在（False）")

        return is_exists, result

    except Exception as e:
        logger.error(f"查询店铺失败：{e}")
        return False, None


def insert_shop_info_to_db(shop,contact_address, qualification_number, business_license_company, business_license_address, scrape_date, platform, province, city, create_time, update_time):
    """
    把字段插入到ybm_shop_info_middle表
    :param 各参数: 你要插入的字段值（空字符串也可）
    :return: bool - 插入成功返回True，失败返回False
    """
    sql = """
        INSERT INTO retrieve_ybm_shop_info_middle (
            shop,
            contact_address,
            qualification_number,
            business_license_company,
            business_license_address,
            scrape_date,
            platform,
            province,
            city,
            create_time,
            update_time
        ) VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s)
        ON DUPLICATE KEY UPDATE
        contact_address = VALUES(contact_address),
        qualification_number = VALUES(qualification_number),
        business_license_company = VALUES(business_license_company),
        business_license_address = VALUES(business_license_address),
        scrape_date = VALUES(scrape_date),
        platform = VALUES(platform),
        province = VALUES(province),
        city = VALUES(city),
        update_time = VALUES(update_time)
        """

    params = (
        shop,
        contact_address,
        qualification_number,
        business_license_company,
        business_license_address,
        scrape_date,
        platform,
        province,
        city,
        create_time,
        update_time,
    )

    conn = None
    cursor = None
    try:
        conn = mysql_pool.get_conn()
        cursor = conn.cursor()
        cursor.execute(sql, params)
        conn.commit()
        logger.info("店铺信息写入成功 shop=%s company=%s", shop, business_license_company)
        return True
    except Exception as e:
        logger.error("插入店铺失败：%s\n%s", e, traceback.format_exc())
        if conn:
            conn.rollback()
        return False
    finally:
        if cursor:
            cursor.close()
        if conn:
            conn.close()

def insert_single_to_mysql(single_data):
    """
    逐条插入单条数据到MySQL数据库
    :param single_data: 单条商品数据元组
    :return: 插入是否成功
    """
    conn = None
    cursor = None
    try:
        insert_sql = """
        INSERT INTO retrieve_scrape_data(
        enterprise_id,
        platform_id,
        platform_item_id,
        province_id,
        city_id,
        province_name,
        city_name,
        area_info,
        product_brand,
        product_name,
        product_specs,
        one_box_price,
        manufacture_date,
        expiry_date,
        manufacturer,
        approval_number,
        is_sold_out,
        online_posting_count,
        continuous_listing_count,
        link_url,
        store_name,
        store_url,
        search_name,
        collect_config_info,
        shipment_province_id,
        shipment_province_name,
        shipment_city_id,
        shipment_city_name,
        company_name,
        qualification_number,
        scrape_date,
        min_price,
        number,
        sales,
        inventory,
        snapshot_url,
        insert_time,
        update_time,
        collect_equipment_account_id,
        collect_region_id,
        collect_round
        
) VALUES (
    %s, %s, %s, %s, %s, %s, %s, %s, %s, %s,
    %s, %s, %s, %s, %s, %s, %s, %s, %s, %s,
    %s, %s, %s, %s, %s, %s, %s, %s, %s, %s,
    %s, %s, %s, %s, %s, %s, %s, %s, %s, %s,%s
)
        """


        # 字段值（与SQL占位符顺序严格对应）
        values = (
            single_data.get("enterprise_id", 0),
            single_data.get("platform_id", 9),
            single_data.get("platform_item_id", ""),
            single_data.get("province_id", ""),
            single_data.get("city_id", ""),
            single_data.get("province_name", ""),
            single_data.get("city_name", ""),
            single_data.get("area_info", ""),
            single_data.get("product_brand", ""),
            single_data.get("product_name", ""),
            single_data.get("product_specs", ""),
            single_data.get("one_box_price", 0.0),
            single_data.get("manufacture_date", ""),
            single_data.get("expiry_date", ""),
            single_data.get("manufacturer", ""),
            single_data.get("approval_number", ""),
            single_data.get("is_sold_out", 0),
            single_data.get("online_posting_count", ""),
            single_data.get("continuous_listing_count", ""),
            single_data.get("link_url", ""),
            single_data.get("store_name", ""),
            single_data.get("store_url", ""),
            single_data.get("search_name", ""),
            single_data.get("collect_config_info", ""),
            single_data.get("shipment_province_id", 0),
            single_data.get("shipment_province_name", ""),
            single_data.get("shipment_city_id", 0),
            single_data.get("shipment_city_name", ""),
            single_data.get("company_name", ""),
            single_data.get("qualification_number", ""),
            single_data.get("scrape_date", ""),
            single_data.get("min_price", 0.0),
            single_data.get("number", 1),
            single_data.get("sales", ""),
            single_data.get("inventory", ""),
            single_data.get("snapshot_url", ""),
            single_data.get("insert_time", datetime.now().strftime("%Y-%m-%d %H:%M:%S")),
            single_data.get("update_time", datetime.now().strftime("%Y-%m-%d %H:%M:%S")),
            single_data.get("collect_equipment_account_id", ""),
            single_data.get("collect_region_id", ""),
            single_data.get("collect_round", ""),

        )


        conn = mysql_pool.get_conn()
        cursor = conn.cursor()
        cursor.execute(insert_sql, values)
        conn.commit()
        logger.info("单条数据已入库 product=%s", single_data.get("product_name", "")[:80])
        return True
    except Exception as e:
        logger.error("单条数据插入失败：%s", e)
        if conn:
            conn.rollback()
        return False
    finally:
        if cursor:
            cursor.close()
        if conn:
            conn.close()


def clean_shop_name(raw_shop_name):
    """
    清洗店铺名称：移除无关前缀（如【xx截单】）、多余空格/特殊符号，提取核心店名
    :param raw_shop_name: 原始采集的店铺名称字符串
    :return: 清洗后的纯店铺名称
    """
    if not raw_shop_name:   #处理空值
        return ''

    # 步骤1：移除【】/()/[]包裹的所有内容（如【2月13日11点截单】）
    # 正则解释：匹配【任意字符】、(任意字符)、[任意字符]，并替换为空
    pattern = r'【.*?】|\(.*?\)|\[.*?\]'
    cleaned = re.sub(pattern, '', raw_shop_name)

    # 步骤2：移除首尾空格、换行符，替换中间多余空格为单个空格
    cleaned = cleaned.strip().replace('\n', '').replace('\r', '')
    cleaned = re.sub(r'\s+', ' ', cleaned)

    # 步骤3：兜底处理（若清洗后为空，返回原始值避免空字符串）
    return cleaned if cleaned else raw_shop_name

def check_dup_in_biz_db(product_link, discount_price_val, scrape_date,collect_equipment_account_id,collect_region_id,collect_round):
    """直接查询业务表是否存在该商品链接+价格"""
    log_context = (
        f"【去重校验】商品链接：{product_link.strip()} | 价格：{discount_price_val} "
        f"采集日期：{scrape_date.strip()}"
    )
    sql = """
            SELECT 1 FROM retrieve_scrape_data
            WHERE link_url = %s AND min_price = %s AND scrape_date = %s AND platform_id = %s
              AND collect_equipment_account_id = %s AND collect_region_id = %s AND collect_round = %s
            LIMIT 1
            """
    params = (
        product_link.strip(),
        discount_price_val,
        scrape_date.strip(),
        9,
        collect_equipment_account_id,
        collect_region_id,
        collect_round,
    )
    try:
        rows = mysql_pool.select_data(sql, params)
        is_dup = bool(rows)

        if is_dup:
            logger.warning(f"{log_context} - 表中已存在重复记录，跳过本次采集")
        else:
            logger.info(f"{log_context} - 表中无重复记录，正常采集")

        return is_dup

    except Exception as e:
        logger.error(f"查询业务表去重失败：{str(e)}")
        return False


# 压缩图片函数
def compress_image(image_data, max_size=4*1024*1024):  # 4MB上限
    try:
        img = Image.open(BytesIO(image_data))

        # 将RGBA模式转为RGB（兼容JPEG）
        if img.mode in ('RGBA', 'P'):  # P是PNG的调色板模式，也需转换
            # 新建白色背景的RGB图片，把透明图贴上去（避免透明区域变黑）
            bg_img = Image.new('RGB', img.size, (255, 255, 255))
            bg_img.paste(img, mask=img.split()[-1] if img.mode == 'RGBA' else None)
            img = bg_img

        # 缩小分辨率（按比例缩到宽≤1000px）
        if img.width > 1000:
            ratio = 1000 / img.width
            new_size = (int(img.width*ratio), int(img.height*ratio))
            img = img.resize(new_size, Image.Resampling.LANCZOS)

        # 降低质量（JPG）/压缩（PNG）
        output = BytesIO()
        img.save(output, format='JPEG', quality=80)  # quality越小体积越小
        compressed_data = output.getvalue()

        if len(compressed_data) > max_size:
            output2 = BytesIO()
            img.save(output2, format='JPEG', quality=60)
            compressed_data = output2.getvalue()
        return compressed_data
    except Exception as e:
        logger.debug(f"图片压缩失败：{e}")
        return image_data  # 压缩失败返回原始数据


def download_image_to_base64(image_url, save_dir = "./download_images"):
    """下载网络图片，返回图片二进制数据（BytesIO）"""
    try:
        if not os.path.exists(save_dir):
            os.makedirs(save_dir)  # 创建多级目录（比如a/b/c）
            print(f"创建本地保存目录：{save_dir}")
    except Exception as e:
        print(f"创建保存目录失败：{str(e)}")
        return None

    try:
        # 模拟浏览器请求头，避免被服务器拦截
        headers = {
            "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36"
        }
        response = requests.get(image_url, headers=headers, timeout=15)
        response.raise_for_status()
        compressed_data = compress_image(response.content)
        image_base64 = base64.b64encode(compressed_data).decode("utf-8")
        image_data = compressed_data

        # 步骤3：提取图片文件名（从URL中截取，避免重复）
        # 示例URL：https://xxx.com/123.jpg → 文件名：123.jpg
        file_name = image_url.split("/")[-1]
        # 处理特殊字符（避免文件名非法）
        file_name = file_name.replace("?", "").replace("&", "").replace("=", "")
        save_path = os.path.join(save_dir, file_name)  # 完整保存路径

        # 步骤4：保存图片到本地
        with open(save_path, "wb") as f:
            f.write(image_data)
        print(f"图片已保存到本地：{save_path}")


        return image_base64
    except requests.exceptions.Timeout:
        print(f"下载图片超时：{image_url}")
        return None
    except requests.exceptions.HTTPError as e:
        code = e.response.status_code if e.response is not None else "?"
        logger.warning("下载图片 HTTP 错误 url=%s status=%s", image_url, code)
        return None
    except Exception as e:
        print(f"下载图片失败：{str(e)}")
        return None



def get_ocr_res(img):
    try:
        #img地址
        print(f'开始识别图片:{img}')
        request_url = request_url_config

        img_base64 = download_image_to_base64(img)
        if not img_base64:
            print("图片下载/转Base64失败，终止OCR识别")
            return None

        # 获取access_token
        access_token = get_access_token()
        if not access_token:
            print("获取access_token失败，无法调用OCR接口")
            return None
        params = {"image": img_base64}
        request_url = request_url + "?access_token=" + access_token
        headers = {'content-type': 'application/x-www-form-urlencoded'}
        response = requests.post(request_url, data=params, headers=headers)

        if response:
            res = response.json()
            # 检查OCR返回是否有错误
            if "error_code" in res:
                print(f"百度OCR接口错误：{res['error_msg']}（错误码：{res['error_code']}）")
                return None
            # 解析识别结果
            new_dic = dict()
            for ite in res['words_result'].keys():
                new_dic[ite] = res['words_result'][ite]['words']
            print('资质数据信息', new_dic)
            return new_dic
        else:
            print("OCR接口返回空响应")
            return None
    except requests.exceptions.RequestException as e:
        print(f"网络错误（图片下载/OCR请求失败）：{str(e)}")
        return None
    except KeyError as e:
        print(f"OCR响应格式异常，缺失字段：{str(e)}")
        return None
    except Exception as e:
        print(f"OCR识别未知错误：{str(e)}")
        return None

def get_access_token():
    AppKey = AppKey_config
    AppSrcret = AppSecret_config
    token_url =token_url_config
    url = f"{token_url}?grant_type=client_credentials&client_id={AppKey}&client_secret={AppSrcret}"

    payload = ""
    headers = {
        'Content-Type': 'application/json',
        'Accept': 'application/json'
    }
    try:
        response = requests.request("POST", url, headers=headers, data=payload)
        response.raise_for_status()  # 触发HTTP错误
        return response.json()['access_token']
    except Exception as e:
        print(f"获取access_token失败：{str(e)}")
        return None






def extract_province_city(address):
    """
    从地址中提取省份和城市
    :param address: 营业执照地址（如"福建省福州市马尾区"）
    :return: (province, city) - 提取到的省份/城市，提取失败返回空字符串
    """
    if not address:  # 地址为空，直接返回空
        return "", ""

    # 正则1：匹配省份（兼容省/自治区/直辖市/特别行政区）
    province_pattern = re.compile(r'([^省]+省|.+自治区|北京市|上海市|天津市|重庆市|.+特别行政区)')
    province_match = province_pattern.search(address)
    province = province_match.group(1) if province_match else ""

    # 正则2：匹配城市（兼容市/自治州/地区/盟，且排除省份已匹配的部分）
    # 先去掉已匹配的省份，再匹配城市
    address_remain = address.replace(province, "").strip() if province else address.strip()
    city_pattern = re.compile(r'([^市]+市|.+自治州|.+地区|.+盟|^[^\d区县镇]+)')
    city_match = city_pattern.search(address_remain)
    city = city_match.group(1).strip() if city_match else ""

    # 兼容直辖市（如"北京市朝阳区"→city=北京市）
    if province in ["北京市", "上海市", "天津市", "重庆市"]:
        city = province

    # 兼容地址不规范的情况（如"福建福州马尾区"，无"省"/"市"字）
    if not province and not city:
        # 匹配前两个地名（如"福建福州"→province=福建，city=福州）
        simple_pattern = re.compile(r'^([^\d区县镇]+)')
        simple_match = simple_pattern.search(address)
        if simple_match:
            city = simple_match.group(1).strip()  # 只有城市，省份留空

    if city and province and city != province and province in city:
        city = city.replace(province, "").strip()

    province, city = normalize_province_city_names(province, city)
    return province.strip(), city.strip()








#采集数据核心
def collect_data(store_page, brand, name, keyword, spec, company_id, collect_config_info="", collect_equipment_account_id=1,collect_region_id=1,collect_round=1):
    """
    1) 先获取当前页商品个数（count）
    2) 按循环次数采集；每循环15次滚动一次 slow_scroll_1200px
    3) 当前页循环完 -> goto_next_page；有下一页继续；无下一页结束该关键词
    """
    collect_result = []

    logger.info(f"📊 开始采集「{keyword}」的商品数据")
    store_page.wait_for_load_state("networkidle")
    #没有找到商品就跳过这个商品


    page_no = 1
    while True:

        logger.info(f"\n📄 「{keyword}」开始采集第 {page_no} 页")

        #  记录列表页URL（可用于你后续兜底）
        list_page_url = store_page.url
        logger.info(f"📌 已记录商品列表页URL：{list_page_url}")


        # ✅ 先获取当前页商品个数
        store_page.wait_for_load_state("domcontentloaded")  # 先等DOM加载
        store_page.wait_for_load_state("networkidle")
        store_page.wait_for_timeout(500)                   # 额外等待渲染稳定
        total_limit = store_page.locator(PRODUCT_ITEM_SELECTOR).count()
        logger.info(f"📌 「{keyword}」第{page_no}页 初始商品个数（count）：{total_limit}")

        # 重置当前页的采集计数
        collected_count = 0


        #补充没找到关键词的兜底
        not_found_keywords = store_page.locator("div.filter-panel-container-empty-text")
        if not_found_keywords.count() > 0:
            logger.warning(f"⚠️ 关键词「{keyword}」无匹配商品，直接跳过整个关键词采集")
            return []

        for idx in range(total_limit):
            detail_page = None
            try:
                item = store_page.locator(PRODUCT_ITEM_SELECTOR).nth(idx)
                collected_count += 1  # 实际采集计数（用于日志）
                # ========= 反爬随机延迟（保留你的原逻辑也行） =========
                store_page.wait_for_load_state("networkidle")
                delay = random_delay(MIN_CLICK_DELAY, MAX_CLICK_DELAY)
                logger.info(f"📌 「{keyword}」第{page_no}页 第{collected_count}/{total_limit}个商品 - 等待{delay:.2f}秒后采集（反爬）")


                # 1. 初始化所有字段默认值
                title = ""
                shop = ""
                expiry_date = "无有效期"
                manufacture_date = "无生产日期"
                approval_number = "无批准文号"
                manufacturer = "未知公司"
                spec = "未知规格"
                num = 1  # ✅ 默认 1
                platform = '药帮忙'
                current_time = datetime.now().strftime("%Y-%m-%d")
                is_sold_out = 0
                business_license_address = '' #店铺地址为空

                # =========1、 售罄不跳过 =========
                sold_locator = item.locator('div.product-status')
                if sold_locator.count() > 0:
                    is_sold_out = 1
                    logger.warning(f" 「{keyword}」第{page_no}页 第{collected_count}个商品已售罄")

                #2、提取商品ID
                product_id = ''
                product_id_elem = item.locator('div.product-card[data-product-id]')
                if product_id_elem.count() > 0:
                    product_id = product_id_elem.get_attribute("data-product-id")
                    logger.info(f"✅ 提取到data-product-id：{product_id}")  # 输出：5678955
                else:
                    logger.warning("⚠️ 未找到商品ID，使用默认空字符串")


                #3、 提取商品标题（处理空值）
                product_locator = item.locator(PRODUCT_TITLE_SELECTOR)
                if product_locator.count() > 0:
                    title = product_locator.inner_text(timeout=3000).strip()
                    logger.info(f"{'='*10}「{keyword}」第{collected_count}个商品 - 列表页标题：{title}{'='*10}")
                else:
                    logger.warning(f" 「{keyword}」第{collected_count}个商品 - 列表页标题元素未找到，使用默认值：{title}")


                #筛选非想要的品牌、名称、品规等等。

                if not (brand in title and name in title):
                    logger.warning(f" 「{keyword}」第{collected_count}个商品 - 标题「{title}」不包含品牌「{brand}」、名称「{name}」、规格「{spec}」，跳过本次循环")
                    continue

                #4、 提取价格（带缺失日志）
                price_int = item.locator('//span[@class="price-int"]').text_content().strip()
                # 2. 提取小数部分（注意可能为空，比如价格是整数13）
                price_decimal_elem = item.locator('//span[@class="price-decimal"]')
                if price_decimal_elem.count() > 0:
                    price_decimal = price_decimal_elem.text_content().strip()
                else:
                    price_decimal = ''
                full_price = f"{price_int}{price_decimal}".strip()
                try:
                    full_price_num = float(full_price)
                except ValueError:
                    full_price_num = 0.0
                    logger.warning(
                        " 「%s」第%s个商品「%s」- 列表页价格无法解析 raw=%r，按 0 处理",
                        keyword,
                        collected_count,
                        title,
                        full_price,
                    )
                logger.info(f"✅ 提取到价格：{full_price_num}")

                # 5. 提取公司名称（带缺失日志）
                manufacturer_locator = item.locator(PRODUCT_COMPANY_SELECTOR)
                if manufacturer_locator.count() > 0:
                    manufacturer = manufacturer_locator.inner_text(timeout=3000).strip()

                    logger.info(f"{'='*10}「{keyword}」第{collected_count}个商品 - 列表页公司名：{manufacturer}{'='*10}")
                else:

                    logger.warning(f" 「{keyword}」第{collected_count}个商品「{title}」- 列表页公司名称元素未找到，使用默认值：{manufacturer}")



                #6、提取店铺名称
                shop_locator = item.locator(PRODUCT_STORE_SELECTOR)
                if shop_locator.count() > 0:
                    raw_shop = shop_locator.inner_text(timeout=3000).strip()
                    # 2. 清洗店名（核心新增步骤）
                    shop = clean_shop_name(raw_shop)
                    logger.info(f"{'='*10}「{keyword}」第{collected_count}个商品 - 列表页店名：{shop}{'='*10}")
                    logger.info(f"原始店名：{raw_shop}")
                    logger.info(f"清洗后店名：{shop}{'='*10}")
                else:
                    logger.warning(f" 「{keyword}」第{collected_count}个商品「{title}」- 列表页店铺名称元素未找到，使用默认值：{shop}")



                #7、 提取折扣价
                discount_price_val_origin = ""
                discount_price = ""
                discount_price_locator = item.locator('span[data-v-4cb6cc1f].discount-int').first
                if discount_price_locator.count() > 0:
                    discount_price = discount_price_locator.inner_text(timeout=3000).strip()
                    discount_price_val_origin = discount_price
                    match = re.search(r'\d+\.?\d*', str(discount_price_val_origin))
                    discount_price_val = float(match.group()) if match else 0.00
                    logger.info(f"{'='*10}「{keyword}」第{collected_count}个商品 - 详情页折扣价：{discount_price_val}{'='*10}")
                else:
                    discount_price_val = full_price_num
                    logger.warning(f" 「{keyword}」第{collected_count}个商品「{title}」- 折扣价元素未找到，使用采购价兜底：{discount_price_val}")

                #8、 提取有效期（处理空值）
                expiry_date_locator = item.locator(f"{PRODUCT_VALIDITY_SELECTOR}")
                if expiry_date_locator.count() > 0:
                    expiry_date = expiry_date_locator.inner_text(timeout=3000).strip().replace('-', '')    #.replace('近效期','')
                    logger.info(f"{'='*10}「{keyword}」第{collected_count}个商品 - 详情页有效期：{expiry_date}{'='*10}")
                else:
                    # 修复：替换未定义的i为collected_count
                    logger.warning(f" 「{keyword}」第{collected_count}个商品「{title}」- 有效期元素未找到，使用默认值：{expiry_date}")

                # ========= 模拟点击商品进入详情页 =========
                logger.info(
                    f"📌 「{keyword}」第{page_no}页 第{collected_count}个商品「{title}」- 模拟鼠标移动并点击"
                )

                item.hover()  # 先悬停
                random_delay(0.2, 0.5)  # 悬停后延迟
                item.dispatch_event("mousedown")
                random_delay(0.05, 0.15)  # 鼠标按下后延迟
                item.dispatch_event("mouseup")
                random_delay(0.05, 0.1)   # 鼠标松开后延迟



                try:
                    with store_page.context.expect_page(timeout=60000) as p:
                        item.click(delay=random.uniform(0.1, 0.3))
                    detail_page = p.value
                except PlaywrightTimeoutError:
                    logger.warning(
                        f" 「{keyword}」第{page_no}页 第{collected_count}个商品「{title}」- 未检测到新标签页，使用当前页采集详情"
                    )
                    detail_page = None  # 标记为无新标签页，避免关闭列表页


                # 等待详情加载（优先用新标签页，无则用列表页）
                target_page = detail_page if detail_page else store_page
                target_page.wait_for_load_state("networkidle", timeout=20000)
                delay = random_delay(MIN_PAGE_DELAY, MAX_PAGE_DELAY)
                logger.info(
                    f"📌 「{keyword}」第{page_no}页 第{collected_count}个商品「{title}」- 详情页加载完成，等待{delay:.2f}秒（反爬）"
                )





                #点击后：1、获取商品详情页链接
                product_link = target_page.url
                logger.info(f"{'='*10}「{keyword}」第{collected_count}个商品 - 详情页链接：{product_link}{'='*10}")






                # ========= ✅ 去重逻辑，拿商品链接和折扣价和有效期和采集日期 =========
                if check_dup_in_biz_db(
                    product_link,
                    discount_price_val,
                    current_time,
                    collect_equipment_account_id,
                    collect_region_id,
                    collect_round,
                ):
                    logger.warning(f" 「{keyword}」第{page_no}页 第{collected_count}个商品（重复）：{title}，跳过")
                    # ========== 关闭新标签页，切回列表页 ==========
                    if detail_page and not detail_page.is_closed():
                        detail_page.close()  # 关闭详情页标签
                        logger.info(f"📌 「{keyword}」第{collected_count}个商品 - 已关闭详情页标签页")
                    # 切回原列表页（第一个标签页）
                    store_page.bring_to_front()  # 激活列表页
                    store_page.mouse.move(random.randint(100, 300), random.randint(200, 400))  # 随机移动鼠标
                    random_delay(0.5, 1.0)  # 增加切换后延迟
                    store_page.wait_for_load_state("networkidle")
                    random_delay(MIN_CLICK_DELAY, MAX_CLICK_DELAY)
                    logger.info(f" 「{keyword}」第{collected_count}个商品「{title}」- 已切回列表页")
                    if collected_count % 6 == 0 and collected_count > 0:
                        logger.info("采满6个往下滑")
                        slow_scroll_400px(store_page)
                        store_page.wait_for_load_state("networkidle")
                    continue


                #点击后：2、提取生产日期（修复完成）
                manufacture_date_locator = target_page.locator('//div[contains(@class, "spec-info-item") and .//div[contains(@class, "spec-info-item-label") and normalize-space(.)="生产日期"]]//div[contains(@class, "spec-info-item-value-text")]')
                if manufacture_date_locator.count() > 0:
                    manufacture_date = manufacture_date_locator.inner_text(timeout=3000).strip()
                    logger.info(f"{'='*10}「{keyword}」第{collected_count}个商品 - 详情页生产日期：{manufacture_date}{'='*10}")
                else:
                    # 修复：替换未定义的i为collected_count
                    logger.warning(f" 「{keyword}」第{collected_count}个商品「{title}」- 生产日期元素未找到，使用默认值：{manufacture_date}")


                #详情页： 3、提取批准文号
                approval_number_locator = target_page.locator('//div[contains(@class, "spec-info-item") and .//div[contains(@class, "spec-info-item-label") and normalize-space(.)="批准文号"]]//div[contains(@class, "spec-info-item-value-text")]')
                if approval_number_locator.count() > 0:
                    approval_number = approval_number_locator.inner_text(timeout=3000).strip()
                    logger.info(f"{'='*10}「{keyword}」第{collected_count}个商品 - 详情页批准文号：{approval_number}{'='*10}")
                else:
                    # 修复：替换未定义的i为collected_count
                    logger.warning(f" 「{keyword}」第{collected_count}个商品「{title}」- 批准文号元素未找到，使用默认值：{approval_number}")



                #详情页 4、提取规格
                spec_locator = target_page.locator('//div[contains(@class, "spec-info-item") and .//div[contains(@class, "spec-info-item-label") and normalize-space(.)="规格"]]//div[contains(@class, "spec-info-item-value-text")]')
                if spec_locator.count() > 0:
                    spec = spec_locator.inner_text(timeout=3000).strip()
                    logger.info(f"{'='*10}「{keyword}」第{collected_count}个商品 - 详情页规格：{spec}{'='*10}")
                else:
                    # 修复：替换未定义的i为collected_count，补充规格数量不足的提示
                    logger.warning(f" 「{keyword}」第{collected_count}个商品「{title}」- 规格元素数量不足，使用默认值：{spec}")

                # input("...")


                #详情页 5、提取库存
                storage = ''
                storage_locator = target_page.locator('[data-v-51f0e85d].detail-input-num-right-title')
                if storage_locator.count() > 0:
                    storage = storage_locator.inner_text(timeout=3000).strip()
                    logger.info(f"{'='*10}「{keyword}」第{collected_count}个商品 - 详情页库存：{storage}{'='*10}")
                else:
                    # 修复：替换未定义的i为collected_count，补充规格数量不足的提示
                    logger.warning(f" 「{keyword}」第{collected_count}个商品「{title}」- 库存元素数量不足，使用默认值：{storage}")


                #详情页 6、提取销量
                sell = ''
                sell_locator = target_page.locator('div.detail-info-content-item-value-price-top-right div[data-v-95163d4a]',has_text='已售')
                if sell_locator.count() > 0:
                    sell = sell_locator.inner_text(timeout=3000).strip()
                    logger.info(f"{'='*10}「{keyword}」第{collected_count}个商品 - 详情页销量：{sell}{'='*10}")
                else:
                    logger.warning(f" 「{keyword}」第{collected_count}个商品「{title}」- 没有销量元素，使用默认值：{sell}")


                #详情页 7、保存快照url上传到oss
                oss_url = ""
                try:
                    local_path, oss_url = screenshot_target_page_to_local_then_oss(
                        target_page=target_page,
                        full_page=True  # 截取全屏
                    )
                    logger.info("详情页快照已上传 local=%s oss=%s", local_path, oss_url)
                except Exception as e:
                    logger.warning("详情页快照上传失败：%s", e)
                province = ""
                city = ""
                business_license_company = ""
                qualification_number = ''

                shop_exists, shop_info = shop_is_exists_database(shop)
                shop_page = None
                store_url = ''

                #店铺名不是药品预约中心且店铺名不在数据库就要点击
                if shop != "药店品种预约中心" and not shop_exists:
                    logger.info("店铺名不是药店品种预约中心且数据库没有该公司的营业执照")
                    random_delay(MIN_CLICK_DELAY, MAX_CLICK_DELAY)
                    entershop_btn = target_page.locator('div[data-v-5485589c].shop-info-container-left-info')
                    # 增强：先等待进入店铺按钮可见
                    entershop_btn.wait_for(state="visible", timeout=10000)
                    entershop_btn.scroll_into_view_if_needed()  # 确保按钮在视口内
                    entershop_btn.hover()  # 先悬停
                    random_delay(0.2, 0.5)  # 悬停后延迟
                    with target_page.expect_popup(timeout=15000) as pop:
                        entershop_btn.click()
                        random_delay(0.05, 0.15)  # 鼠标按下后延迟
                    shop_page = pop.value
                    shop_page.wait_for_load_state("domcontentloaded")  # 比 networkidle 更


                    #在这里获取店铺链接
                    store_url = shop_page.url   # 获取店铺链接
                    logger.info(f"📌 获取到店铺链接：{store_url}")



                    #点击店铺资质
                    random_delay(MIN_CLICK_DELAY, MAX_CLICK_DELAY)
                    shop_license_page = shop_page.locator('//div[contains(@class, "shop-info-container-right-btns-item") and contains(span, "资质/售后")]')
                    shop_license_page.wait_for(state="attached", timeout=15000)  # 等待元素加载完成
                    shop_license_page.scroll_into_view_if_needed()  # 确保在视口内
                    shop_license_page.hover()   # 先悬停
                    random_delay(0.2, 0.5)  # 悬停后延迟
                    shop_license_page.click()
                    random_delay(0.05, 0.15)  # 鼠标按下后延迟
                    random_delay(0.05, 0.1)   # 鼠标松开后延迟
                    shop_page.wait_for_load_state("networkidle")

                    #获取药品经营许可证图片
                    shop_page.wait_for_load_state("load")
                    ocr_res = None
                    shop_license_img = shop_page.locator('//span[contains(text(), "企业营业执照") or contains(text(), "营业执照（正本）")]/ancestor::div[@class="shop-info-drawer-zz-tab1-list-item"]/img').first
                    shop_license_img.wait_for(state="visible", timeout=60000)

                    shop_license_src = None
                    try:
                        if shop_license_img.count() > 0:
                            shop_license_src = shop_license_img.get_attribute('src')
                            shop_license_src = shop_license_src.strip() if shop_license_src else None
                            ocr_res = get_ocr_res(shop_license_src)
                        else:
                            shop_license_src = None
                    except Exception as e:
                        logger.warning(f"提取营业执照图片src失败：{e}")
                        shop_license_src = None
                    logger.debug("营业执照图片链接：%s", shop_license_src)

                    contact_address = ''
                    qualification_number = ocr_res.get('社会信用代码', '') if ocr_res else ''
                    business_license_company = ocr_res.get('单位名称', '') if ocr_res else ''
                    business_license_address = ocr_res.get('地址', '') if ocr_res else ''
                    # scrape_date = ''

                    # 调用提取函数，获取省份和城市
                    province, city = extract_province_city(business_license_address)
                    logger.info(f"原始地址：{business_license_address}")
                    logger.info(f"提取的省份：{province} | 城市：{city}")
                    insert_result = insert_shop_info_to_db(
                        shop=shop,
                        contact_address=store_url,      #改为店铺链接，到时可以从数据库获取
                        qualification_number=qualification_number,
                        business_license_company=business_license_company,
                        business_license_address=business_license_address,
                        scrape_date=current_time,
                        platform=platform,
                        province=province,
                        city=city,
                        create_time=datetime.now().strftime("%Y-%m-%d %H:%M:%S") ,
                        update_time=datetime.now().strftime("%Y-%m-%d %H:%M:%S")
                                                            )
                else:
                    logger.info("数据库有该店名，在数据库拿取对应字段填充ybm_drug_middle表")
                    province, city = "", ""
                    business_license_company, qualification_number = "", ""
                    business_license_address = ""
                    if shop_info:
                        province = shop_info["province"]
                        city = shop_info["city"]
                        business_license_company = shop_info["business_license_company"]
                        qualification_number = shop_info["qualification_number"]
                        business_license_address = shop_info.get("business_license_address", "") or ""



                try:
                    if shop_page and not shop_page.is_closed():
                        random_delay(4,8)
                        shop_page.close()
                        logger.info(f"📌 「{keyword}」第{collected_count}个商品 - 已关闭店铺页标签 shop_page")

                except Exception as e:
                    logger.warning(f"⚠️ 关闭 shop_page 失败：{e}")

                random_delay(5,8)

                # ========== 关闭新标签页，切回列表页 ==========
                if detail_page and not detail_page.is_closed():
                    detail_page.close()  # 关闭详情页标签
                    logger.info(f"📌 「{keyword}」第{collected_count}个商品 - 已关闭详情页标签页")
                # 切回原列表页（第一个标签页）
                store_page.bring_to_front()  # 激活列表页
                store_page.mouse.move(random.randint(100, 300), random.randint(200, 400))  # 随机移动鼠标
                random_delay(0.5, 1.0)  # 增加切换后延迟
                store_page.wait_for_load_state("networkidle")
                random_delay(MIN_CLICK_DELAY, MAX_CLICK_DELAY)
                logger.info(f" 「{keyword}」第{collected_count}个商品「{title}」- 已切回列表页")
                random_delay(2,4)
                # credit_code = ""
                availability = ""
                # input(".....")

                # 调用函数获取省市ID（修复：传入province和city变量）
                province_id, city_id = get_province_city_ids(province, city)

                # 组装单条数据（仅新增生产日期/批准文号字段，原有字段顺序/逻辑不变）
                # 构造单条数据元组（适配MySQL字段）
                single_data = {
                    # 核心商品信息
                        "enterprise_id": company_id,
                        'platform_id': 9,
                        'platform_item_id': product_id,
                        'province_id': province_id,
                        'city_id': city_id,
                        'province_name': province,
                        'city_name': city,
                        'area_info': business_license_address,
                        'product_brand': brand,  # 品牌
                        "product_name": keyword,  # 搜索商品名称
                        'product_specs': spec,  # 规格
                        # "my_good_price": merged_price,  # 自定义价格（可与min_price相同或单独提取）
                        "one_box_price": discount_price_val,  # 最低价格
                        "manufacture_date": manufacture_date,  # 生产日期
                        "expiry_date": expiry_date,  # 有效期
                        "manufacturer": manufacturer,  # 生产厂家
                        "approval_number": approval_number,  # 批准文号
                        "is_sold_out": is_sold_out,  # 售罄标记（0/1）
                        'online_posting_count': 1,
                        'continuous_listing_count': 1,
                        'link_url': product_link,
                        "store_name": shop,  # 店铺名称
                        'store_url': store_url,  # 店铺链接
                        "search_name": keyword,  # 搜索关键词
                        "collect_config_info": collect_config_info,  # 采集配置 JSON 字符串
                        'shipment_province_id': 0,
                        'shipment_province_name': '',
                        'shipment_city_id': 0,
                        'shipment_city_name': '',
                        "company_name": business_license_company,  # 营业执照主体（公司名称）
                        "qualification_number": qualification_number,  # 统一信用代码（如有可补充提取）
                        "scrape_date": current_time,  # 采集日期
                        "min_price": discount_price_val,  # 最低价格
                        "number": num,  # 数量（盒数）
                        "sales": sell,      #销量
                        "inventory": storage,       #库存
                        "snapshot_url": oss_url,         #快照链接
                        "insert_time": datetime.now().strftime("%Y-%m-%d %H:%M:%S"),   # 创建时间
                        "update_time": datetime.now().strftime("%Y-%m-%d %H:%M:%S"),  # 更新时间
                        "collect_equipment_account_id":collect_equipment_account_id,
                        "collect_region_id":collect_region_id,
                        "collect_round":collect_round,
                        #可能会用到
                        # "province": province,  # 省份
                        # "city": city,  # 城市
                        # "scrape_province": "",  # 采集省份（可留空或根据IP获取）
                        # "availability": availability,  # 库存状态

                        #暂时用不到
                        # "platform": platform,  # 平台名称（固定或动态获取）
                        # "search_key": keyword,  # 搜索关键词


            }





                # 调用逐条插入函数
                insert_single_to_mysql(single_data)

                collect_result.append(single_data)
                logger.info(f" 「{keyword}」第{collected_count}个商品「{title}」采集完成")
                # input("....")
            except Exception as e:
                # 异常处理：关闭详情页，强制切回列表页
                logger.exception(f" 「{keyword}」第{collected_count}个商品采集核心异常：{str(e)}")
                try:
                    if detail_page and not detail_page.is_closed():
                        detail_page.close()
                        logger.info(f"📌 「{keyword}」第{collected_count}个商品 - 异常时关闭详情页标签页")
                    if store_page and not store_page.is_closed():
                        store_page.bring_to_front()  # 切回列表页
                    store_page.wait_for_load_state("networkidle")
                    random_delay(MIN_CLICK_DELAY, MAX_CLICK_DELAY)
                except Exception as e2:
                    logger.error(f" 「{keyword}」第{collected_count}个商品详情采集异常（处理时）：{str(e2)}，原异常：{str(e)}")
                    continue


            if collected_count % 6 == 0 and collected_count > 0 and collected_count != total_limit:
                logger.info("采满6个往下滑")
                slow_scroll_400px(store_page,)
                store_page.wait_for_load_state("networkidle")



        # ====== 当前页采集完毕，尝试翻页 ======
        delay = random_delay(1.5, 3.0)
        logger.info(f"⏳ 翻页前随机等待 {delay:.2f}s（反爬）")

        if goto_next_page(store_page):
            logger.info(f"「{keyword}」还有下一页")
            page_no += 1
            store_page.wait_for_load_state("networkidle")
            total_limit = store_page.locator(PRODUCT_ITEM_SELECTOR).count()
            logger.info(f"📌 「{keyword}」第{page_no}页 商品个数更新为：{total_limit}")
            continue
        else:
            logger.info(f" 「{keyword}」已无下一页，关键词采集结束")
            break
    # 关键词采集完成后长延迟
    long_delay = random_delay(MIN_KEYWORD_DELAY, MAX_KEYWORD_DELAY)
    logger.info(f" 「{keyword}」采集完成，共{len(collect_result)}条数据，等待{long_delay:.2f}秒后继续下一个关键词（反爬）")
    return collect_result






# ==================== 主函数（登录+批量搜索） ====================
def main():
    # 在程序启动时加载一次
    load_city_mapping()

    logger.info("\n" + "="*50)
    logger.info("🚀 药帮忙采集程序启动")
    logger.info(f"⏰ 启动时间：{datetime.now().strftime('%Y-%m-%d %H:%M:%S')}")
    logger.info("="*50)

    with (sync_playwright() as p):
        browser = p.chromium.launch(
            channel="chrome",  # 使用真实Chrome内核
            slow_mo=random.randint(100, 300),  # 全局操作延迟（模拟真人慢速操作）
            args=[
                "--disable-blink-features=AutomationControlled",  # 禁用webdriver特征（核心！）
                "--enable-automation=false",  # 新增：禁用自动化标识
                "--disable-infobars",  # 新增：禁用信息栏
                "--remote-debugging-port=0",  # 新增：随机调试端口
                "--start-maximized",  # 最大化窗口（模拟真人使用）
                "--disable-extensions",  # 禁用扩展（避免特征）
                "--disable-plugins-discovery",  # 禁用插件发现
                "--no-sandbox",  # 避免沙箱模式特征
                "--disable-dev-shm-usage",  # 避免内存限制导致的异常
                f"--user-agent=Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/{random.randint(110, 120)}.0.0.0 Safari/537.36"  # 随机Chrome版本的UA
            ]
        )
        # 创建页面时伪装指纹
        context = browser.new_context(
            locale="zh-CN",  # 中文环境
            timezone_id="Asia/Shanghai",  # 上海时区
            geolocation={"latitude": 31.230416, "longitude": 121.473701},  # 模拟上海地理位置（可选）
            permissions=["geolocation"],  # 授予定位权限（模拟真人）
            user_agent="Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36",
            viewport={"width": 1800, "height": 1000},
            # 关键：隐藏自动化特征
            java_script_enabled=True,
            bypass_csp=True,
            # user_data_dir="./temp_user_data"  # 模拟真实用户数据目录
        )

        page = context.new_page()


        # 关键：移除navigator.webdriver标识（反爬核心）
        page.add_init_script("""
            Object.defineProperty(navigator, 'webdriver', { get: () => undefined });
            Object.defineProperty(navigator, 'plugins', { get: () => [1, 2, 3] });  // 新增：模拟插件
            Object.defineProperty(navigator, 'mimeTypes', { get: () => [1, 2, 3] });  // 新增：模拟MIME类型
            window.chrome = { runtime: {}, loadTimes: () => ({}) };  // 增强Chrome模拟
            delete window.navigator.languages;
            window.navigator.languages = ['zh-CN', 'zh'];
            // 新增：模拟真实鼠标移动特征
            (() => {
                const originalAddEventListener = EventTarget.prototype.addEventListener;
                EventTarget.prototype.addEventListener = function(type, listener) {
                    if (type === 'mousemove') {
                        return originalAddEventListener.call(this, type, (e) => {
                            e._automation = undefined;
                            listener(e);
                        });
                    }
                    return originalAddEventListener.call(this, type, listener);
                };
            })();
""")


        try:
            # ========== 核心：Cookie复用逻辑 ==========
            # 1. 加载本地Cookie
            load_cookies(context)

            # 2. 验证登录状态
            if not is_login(page):
                # 3. Cookie失效/不存在，执行登录
                page.goto(TARGET_LOGIN_URL)
                page.wait_for_load_state("networkidle")
                logger.info("🔑 开始执行登录流程")

                # 执行登录操作
                login_success = login_operation(page, USERNAME, PASSWORD)
                if not login_success:
                    logger.error(" 登录失败，程序终止")
                    return

                # 4. 登录成功后保存Cookie
                save_cookies(context)
                logger.info(" 登录并保存Cookie成功！")

            # ==================== 1. 核心业务配置 ====================
            task = get_search_keywords_from_db(include_collect_config=True)

            if not task:
                logger.error("未获取到任何任务，程序退出")
                return

            # 2. 批量搜索+采集+保存
            task_id = task['id']
            brand = task['product_brand']
            name = task["product_name"]
            sampling_cycle = task["sampling_cycle"]
            sampling_start_time = task["sampling_start_time"]
            sampling_end_time = task["sampling_end_time"]
            company_id = task["company_id"]
            spec = task["product_specs"]
            collect_equipment_account_id = task["collect_equipment_account_id"]
            collect_region_id = task["collect_region_id"]
            collect_round = task["collect_round"]



            keyword = brand + name
            collect_config_info = json.dumps({
                "sampling_cycle": sampling_cycle,
                "sampling_start_time": sampling_start_time,
                "sampling_end_time": sampling_end_time,
            }, ensure_ascii=False, default=str)

            logger.info(f"\n=====================================")
            logger.info(f"开始处理任务 {task_id}，公司ID：{company_id}，关键词：{keyword}")
            logger.info(f"=====================================")
            # ---------- 第一次上报 ----------
            report_start(task_id, keyword)  # 上报开始任务（仅关键词）
            logger.info("上报状态")
            start_ts = int(time.time())   # 记录开始时间戳


            # 采集状态变量
            success = False
            real_count = 0

            popup_guard(page, "before_search")
            store_page, search_success = search_operation(page, keyword, is_first_search=True)
            if store_page:
                popup_guard(store_page, "after_search")

            if store_page is None:
                return

            if not search_success:
                logger.warning(f" 「{keyword}」搜索失败，跳过采集")
                return


            # ✅ 再等页面稳定一下（networkidle 有时会等不到，建议加超时或换成 domcontentloaded）
            store_page.wait_for_load_state("domcontentloaded")


            store_page.wait_for_load_state('networkidle')

            # 采集数据
            data_list = collect_data(store_page, brand, name, keyword, spec, company_id, collect_config_info, collect_equipment_account_id,collect_region_id,collect_round)
            real_count = len(data_list)
            success = True
            logger.info(f"关键词「{keyword}」采集完成，共 {real_count} 条数据")
            # ---------- 第二次上报：结束任务（全部字段） ----------
            report_end(task_id, keyword, company_id,success=success, real_count=real_count, start_ts=start_ts)
            notify_feishu_after_report_end(
                task_id=task_id,
                keyword=keyword,
                company_id=company_id,
                success=success,
                spec=spec,
                real_count=real_count,
                start_ts=start_ts,
                platform_name="药帮忙",
                drug_name=name,
            )
            logger.info("任务 %s 处理完成，入库条数：%s", task_id, real_count)

        except Exception as e:
            logger.exception("程序异常：%s", e)
        finally:
            browser.close()
            logger.info(" 浏览器已关闭，程序结束")


# ==================== 程序入口 ====================
if __name__ == '__main__':
    main()