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()