- Add yunda_login: probe the login page, fill credentials from
config.yaml (yunda.username/password), submit; no-op if already
logged in
- main_router: register per-site READY_SELECTORS and replace the
blocking input() with a ready-guard poll loop; invoke Yunda
auto-login up front; simplify site-init cleanup
- site_yunda: drop the custom frame probes in favor of native
frame_locator("section iframe")
- Skip handover rows already marked 已绑定; abort the export harvest
when no tasks were submitted
- Fix NameError from undefined username/password fallback
Co-Authored-By: Claude <noreply@anthropic.com>
607 lines
25 KiB
Python
607 lines
25 KiB
Python
# site_yunda.py
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import os
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import re
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import yaml
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from datetime import datetime, timedelta
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import pandas as pd
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def yunda_login(page):
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"""
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韵达大运系统智能自动登录流
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支持‘未登录自动填充提交’与‘已登录静默过客’双工模式
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"""
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print(">> 正在探测韵达当前的登录会话状态...")
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try:
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# 定位“账号密码登录”切换按钮
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switch_btn = page.locator("span", has_text="账号密码登录")
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# 设定 5 秒探针延迟。如果 5 秒内按钮可见,说明处于未登录的初始状态
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if switch_btn.is_visible(timeout=5000):
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print(" -> 捕获到标准的未登录界面,正在强切至【账号密码登录】模式...")
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switch_btn.click()
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page.wait_for_timeout(500)
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# 从配置读取凭证(默认空串;真实凭据仅存于被忽略的 config.yaml)
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username = ""
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password = ""
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if os.path.exists("config.yaml"):
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with open("config.yaml", "r", encoding="utf-8") as f:
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config = yaml.safe_load(f) or {}
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yd_cfg = config.get("yunda", {})
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username = str(yd_cfg.get("username", ""))
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password = str(yd_cfg.get("password", ""))
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print(f" -> 正在程序化充填表单凭证 (账号: {username})...")
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page.locator("#username").fill(username)
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page.locator("#password").fill(password)
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page.wait_for_timeout(300)
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print(" -> 正在点击【登录】按钮并提交表单...")
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page.locator('button[type="submit"]', has_text="登录").click()
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page.wait_for_timeout(1000)
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else:
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print(
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" -> 探针未发现登录按钮,判定当前会话已处于持久化登录状态,静默穿透。"
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)
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except Exception as e:
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print(f" ⚠️ 自动登录状态机探测发生波动(可能已处于工作台内部): {e}")
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def yunda_smart_menu_click(page, menu_path):
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"""
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韵达排他性多级树形菜单智能导航器(带防折叠状态断言机制)
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采用 XPath 亲子轴绝对隔离技术,彻底斩断嵌套手风琴菜单的向下漏包干扰
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"""
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print(f">> 正在智能路由韵达菜单: {' -> '.join(menu_path)}")
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for item in menu_path:
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title_locator = page.locator(
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f"xpath=//div[contains(@class, 'el-submenu__title') and .//span[normalize-space(.)='{item}']]"
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).first
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parent_li = page.locator(
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f"xpath=//div[contains(@class, 'el-submenu__title') and .//span[normalize-space(.)='{item}']]/.."
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).first
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leaf_locator = page.locator(
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f"xpath=//li[contains(@class, 'el-menu-item') and .//span[normalize-space(.)='{item}']]"
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).first
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if title_locator.is_visible():
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current_class = parent_li.get_attribute("class") or ""
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is_opened = "is-opened" in current_class
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if not is_opened:
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print(f" -> 探测到父菜单 [{item}] 当前处于【收起】状态,执行点击展开")
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title_locator.click()
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page.wait_for_timeout(500)
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else:
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print(
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f" -> 探测到父菜单 [{item}] 当前已经处于【展开】状态,安全跳过点击(防折叠保护激活)"
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)
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elif leaf_locator.is_visible():
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print(f" -> 成功对焦目标叶子节点 [{item}],直接执行跳转点击")
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leaf_locator.click()
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page.wait_for_timeout(1000)
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def yunda_expected_download(page):
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"""韵达:应到货物数据下载"""
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print("\n▶ 开始执行【韵达 - 应到货物数据下载】任务...")
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target_task_title = "进站主单表"
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download_dir = os.path.join(os.getcwd(), "downloads")
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if not os.path.exists(download_dir):
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os.makedirs(download_dir)
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export_times = []
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try:
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# 1. 验证首页并智能路由
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page.locator(".el-menu-item", has_text="首页").wait_for(
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state="visible", timeout=15000
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)
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print("✅ 韵达工作台首页成功加载")
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yunda_smart_menu_click(page, ["运营管理", "进站管理", "进站交接单查询"])
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print(">> 正在跨域动态追踪【进站交接单查询】业务窗体...")
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# 彻底移除会引起竞速超时坑的 custom 探测器,使用原生懒加载 frame_locator
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ws_frame = page.frame_locator("section iframe")
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ws_frame.locator("#startTime").wait_for(state="attached", timeout=15000)
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print("✅ 进站交接单查询工作区就绪")
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# 2. 从配置文件中解析并计算绝对日期跨度
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query_days = 1
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try:
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if os.path.exists("config.yaml"):
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with open("config.yaml", "r", encoding="utf-8") as f:
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config = yaml.safe_load(f) or {}
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query_days = int(config.get("yunda", {}).get("query_days", 1))
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except Exception as e:
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print(f" ⚠️ 读取 config.yaml 失败,默认查询 1 天: {e}")
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today = datetime.now()
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start_date = today - timedelta(days=(query_days - 1))
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today_ymd = f"{today.year}-{today.month}-{today.day}"
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start_date_ymd = f"{start_date.year}-{start_date.month}-{start_date.day}"
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print(f">> 正在精准对焦时间区间: [{start_date_ymd}] 至 [{today_ymd}]")
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# 设定起始时间
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print(" >> 呼出起始时间控件...")
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page.wait_for_timeout(1000)
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ws_frame.locator("#startTime").click(force=True)
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calendar1 = ws_frame.locator(".layui-laydate:visible").first
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calendar1.wait_for(state="visible", timeout=5000)
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calendar1.locator(f"td[lay-ymd='{start_date_ymd}']").click()
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calendar1.locator(".laydate-btns-confirm").click()
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page.wait_for_timeout(400)
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# 设定截止时间
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print(" >> 呼出截止时间控件...")
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ws_frame.locator("#endTime").click(force=True)
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calendar2 = ws_frame.locator(".layui-laydate:visible").first
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calendar2.wait_for(state="visible", timeout=5000)
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calendar2.locator(f"td[lay-ymd='{today_ymd}']").click()
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calendar2.locator(".laydate-btns-confirm").click()
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page.wait_for_timeout(500)
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# 3. 多维状态机静默加载校验
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print(">> 正在触发现场查询数据流...")
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ws_frame.locator("a.btn-success", has_text="查询").click()
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page.wait_for_timeout(800)
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# ====================================================================
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# 🛡️ 核心修复:将 Loading 蒙层和数据断言限制在当前的 #tab-1 结界内部
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# 彻底解决多标签页导致 Strict Mode (5 elements found) 的污染问题
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# ====================================================================
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loading_mask = ws_frame.locator(
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"#tab-1 .fixed-table-loading", has_text="正在努力地加载数据中"
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).first
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if loading_mask.is_visible():
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print(" ⏳ 检测到专属数据加载罩,正在等待后端重载返回...")
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loading_mask.wait_for(state="hidden", timeout=30000)
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page.wait_for_timeout(500)
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sum_panel = ws_frame.locator("#sum").first
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has_data = False
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if sum_panel.is_visible():
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sum_text = sum_panel.inner_text()
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match_tickets = re.search(r"进站实际票数:(\d+)", sum_text)
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if match_tickets and int(match_tickets.group(1)) > 0:
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has_data = True
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print(
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f" ✅ 深度断言:局部统计面板加载完毕,实际票数: [{match_tickets.group(1)}],执行穿透。"
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)
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if not has_data:
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# 同样将空数据提示隔离在当前 tab 中
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if ws_frame.locator(
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"#tab-1 .no-records-found", has_text="没有找到匹配的记录"
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).first.is_visible():
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print(
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" ⚠️ 确认为空数据环境:系统提示【没有找到匹配的记录】,正在执行复位净化..."
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)
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page.locator(".tags-view-item", has_text="进站交接单查询").locator(
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".el-icon-close"
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).click()
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return
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# 4. 深度等待表格第一行数据行渲染就绪
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ws_frame.locator("#exampleTable1 tbody tr[data-index='0']").wait_for(
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state="visible", timeout=10000
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)
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main_rows = ws_frame.locator("#exampleTable1 tbody tr[data-index]")
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row_count = main_rows.count()
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print(f">> 当前视窗共捕获到活跃交接单记录: {row_count} 条")
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# 5. 循环双击穿透提交
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for i in range(row_count):
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print(f" ⏳ 正在处理第 {i+1}/{row_count} 个交接单模块...")
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current_row = ws_frame.locator("#exampleTable1 tbody tr[data-index]").nth(i)
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raw_no = current_row.locator("td").nth(1).inner_text().strip()
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# ====================================================================
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# 🛡️ 状态机拦截卫语句:识别绑定状态,过滤已绑定交接单
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# ====================================================================
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bind_status = current_row.locator("td").nth(2).inner_text().strip()
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print(f" -> 锁定提取单号: {raw_no} [绑定状态: {bind_status}]")
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if bind_status == "已绑定":
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print(" ⏭️ 状态拦截:该交接单处于【已绑定】状态,安全跳过。")
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continue
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# ====================================================================
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current_row.dblclick()
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ws_frame.locator("#docSum").wait_for(state="visible", timeout=15000)
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page.wait_for_timeout(500)
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ws_frame.locator('a.btn-info[onclick*="exportFile"]').click()
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ws_frame.locator(".layui-layer-title", has_text="数据导出").wait_for(
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state="visible", timeout=15000
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)
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export_frame = ws_frame.frame_locator('iframe[name="target1"]')
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export_frame.locator(".allRight").click()
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page.wait_for_timeout(400)
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print(" >> 正在建立后台离线任务...")
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task_success = False
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for attempt in range(5):
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export_frame.locator("#submitbutton", has_text="导出数据").click()
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confirm_link = export_frame.get_by_role("link", name="确定")
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try:
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confirm_link.wait_for(state="visible", timeout=6000)
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if export_frame.get_by_text("导出任务建立成功").is_visible():
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print(" ✅ 判定通过:成功捕获到【导出任务建立成功】特征!")
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confirm_link.click()
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task_success = True
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break
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elif export_frame.get_by_text(
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"请选择格式相应的导出字段"
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).is_visible():
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print(
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" ⚠️ 警告:检测到【未选择字段】错误,重新触发补点全选..."
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)
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confirm_link.click()
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page.wait_for_timeout(500)
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export_frame.locator(".allRight").click()
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page.wait_for_timeout(500)
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else:
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confirm_link.click()
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page.wait_for_timeout(1000)
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except Exception:
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page.wait_for_timeout(1000)
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if not task_success:
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raise RuntimeError(
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"致命异常:连续 5 次尝试均无法成功建立应到数据离线任务。"
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)
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ws_frame.locator(".layui-layer-close1").click()
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page.wait_for_timeout(500)
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ws_frame.locator("#myTab a", has_text="交接单信息").click()
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page.wait_for_timeout(800)
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export_times.append(datetime.now())
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print(">> 📤 任务提交流闭环,正在执行【进站交接单查询】工作台销毁...")
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page.locator(".tags-view-item", has_text="进站交接单查询").locator(
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".el-icon-close"
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).click()
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page.wait_for_timeout(500)
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# 防线:如果全部记录都被跳过了,export_times 为空,直接结束
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if not export_times:
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print(
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">> ⚠️ 本次查询未产生任何有效的离线下载任务(全部空单或已被跳过),中止后端收割流。"
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)
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return
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_yunda_poll_and_download_tasks(
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page,
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export_times,
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target_task_title,
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download_dir,
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"韵达-应到货物数据.xlsx",
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)
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except Exception as e:
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print(f"\n❌ 任务执行过程中发生异常: {e}")
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def yunda_actual_download(page):
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"""韵达:实到货物数据下载"""
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print("\n▶ 开始执行【韵达 - 实到货物数据下载】任务...")
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target_task_title = "扫描记录数据"
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download_dir = os.path.join(os.getcwd(), "downloads")
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if not os.path.exists(download_dir):
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os.makedirs(download_dir)
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export_times = []
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try:
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page.locator(".el-menu-item", has_text="首页").wait_for(
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state="visible", timeout=15000
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)
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print("✅ 韵达工作台首页成功加载")
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yunda_smart_menu_click(page, ["报表管理", "扫描记录查询"])
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print(">> 正在跨域动态追踪【扫描记录查询】业务窗体...")
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ws_frame = page.frame_locator("section iframe")
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ws_frame.locator(
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".no-records-found", has_text="没有找到匹配的记录"
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).first.wait_for(state="visible", timeout=15000)
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print("✅ 扫描记录查询工作区初始化完毕")
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query_days = 1
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try:
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if os.path.exists("config.yaml"):
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with open("config.yaml", "r", encoding="utf-8") as f:
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config = yaml.safe_load(f) or {}
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query_days = int(config.get("yunda", {}).get("query_days", 1))
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except Exception:
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pass
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today = datetime.now()
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start_date = today - timedelta(days=(query_days - 1))
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print(f">> 正在精准对焦实到时间区间: [近 {query_days} 天]")
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print(" >> 正在设定起始时间...")
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ws_frame.locator("#startDate").click()
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page.wait_for_timeout(400)
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box1 = ws_frame.locator("#laydate_box:visible").first
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box1.locator(
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f"td[y='{start_date.year}'][m='{start_date.month}'][d='{start_date.day}']"
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).click()
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page.wait_for_timeout(400)
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print(" >> 正在设定截止时间...")
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ws_frame.locator("#endDate").click()
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page.wait_for_timeout(400)
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box2 = ws_frame.locator("#laydate_box:visible").first
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box2.locator(
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f"td[y='{today.year}'][m='{today.month}'][d='{today.day}']"
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).click()
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page.wait_for_timeout(500)
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print(" >> 正在变更扫描类型为【到件】...")
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ws_frame.locator("#scanRecordTyp").select_option(value="03")
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page.wait_for_timeout(500)
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print(">> 正在触发现场查询数据流...")
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ws_frame.locator('input[type="button"][value="查询"]').click()
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page.wait_for_timeout(800)
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loading_mask = ws_frame.locator(
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".fixed-table-loading", has_text="正在努力地加载数据中"
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).first
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if loading_mask.is_visible():
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print(" ⏳ 检测到专属数据加载罩,正在等待后端重载返回...")
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loading_mask.wait_for(state="hidden", timeout=30000)
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page.wait_for_timeout(500)
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pg_info = ws_frame.locator(".pagination-info").first
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has_records = False
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if pg_info.is_visible():
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info_text = pg_info.inner_text()
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match_total = re.search(r"总共\s*(\d+)\s*条记录", info_text)
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if match_total and int(match_total.group(1)) > 0:
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has_records = True
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print(
|
||
f" ✅ 深度断言:实到数据渲染完毕,总记录数: [{match_total.group(1)}] 条。"
|
||
)
|
||
|
||
if not has_records:
|
||
if ws_frame.locator(
|
||
".no-records-found", has_text="没有找到匹配的记录"
|
||
).first.is_visible():
|
||
print(
|
||
" ⚠️ 当前查询范围内确认为空数据:系统提示【没有找到匹配的记录】,终止并关闭环境。"
|
||
)
|
||
page.locator(".tags-view-item", has_text="扫描记录查询").locator(
|
||
".el-icon-close"
|
||
).click()
|
||
return
|
||
else:
|
||
print(" ⚠️ 发生渲染异常,未找到数据也未找到空记录提示。安全收尾...")
|
||
page.locator(".tags-view-item", has_text="扫描记录查询").locator(
|
||
".el-icon-close"
|
||
).click()
|
||
return
|
||
|
||
# 5. 执行导出流
|
||
print(">> 正在发起【导出】申请指令...")
|
||
ws_frame.locator('input[type="button"][id="export"]').click()
|
||
|
||
ws_frame.locator(".layui-layer-title", has_text="数据导出").wait_for(
|
||
state="visible", timeout=15000
|
||
)
|
||
export_frame = ws_frame.frame_locator('iframe[name="myFrame"]')
|
||
|
||
export_frame.locator(".allRight").click()
|
||
page.wait_for_timeout(400)
|
||
|
||
print(" >> 正在建立后台离线任务...")
|
||
task_success = False
|
||
for attempt in range(5):
|
||
export_frame.locator("#submitbutton", has_text="导出数据").click()
|
||
confirm_link = export_frame.get_by_role("link", name="确定")
|
||
try:
|
||
confirm_link.wait_for(state="visible", timeout=6000)
|
||
if export_frame.get_by_text("导出任务建立成功").is_visible():
|
||
print(" ✅ 判定通过:成功捕获到【导出任务建立成功】特征!")
|
||
confirm_link.click()
|
||
task_success = True
|
||
break
|
||
elif export_frame.get_by_text("请选择格式相应的导出字段").is_visible():
|
||
print(" ⚠️ 警告:检测到字段未全选,执行强补点击...")
|
||
confirm_link.click()
|
||
page.wait_for_timeout(500)
|
||
export_frame.locator(".allRight").click()
|
||
page.wait_for_timeout(500)
|
||
else:
|
||
confirm_link.click()
|
||
page.wait_for_timeout(1000)
|
||
except Exception:
|
||
page.wait_for_timeout(1000)
|
||
|
||
if not task_success:
|
||
raise RuntimeError(
|
||
"致命异常:连续 5 次尝试均无法成功建立实到数据离线任务。"
|
||
)
|
||
|
||
ws_frame.locator(".layui-layer-close1").click()
|
||
page.wait_for_timeout(500)
|
||
export_times.append(datetime.now())
|
||
|
||
print(">> 📤 任务提交流闭环,正在执行【扫描记录查询】工作台销毁...")
|
||
page.locator(".tags-view-item", has_text="扫描记录查询").locator(
|
||
".el-icon-close"
|
||
).click()
|
||
page.wait_for_timeout(500)
|
||
|
||
# 防线:双重保护
|
||
if not export_times:
|
||
print(">> ⚠️ 本次查询未产生有效的离线下载任务,中止后端收割流。")
|
||
return
|
||
|
||
# 6. 收割下载
|
||
_yunda_poll_and_download_tasks(
|
||
page,
|
||
export_times,
|
||
target_task_title,
|
||
download_dir,
|
||
"韵达-实到货物数据.xlsx",
|
||
)
|
||
|
||
except Exception as e:
|
||
print(f"\n❌ 任务执行过程中发生异常: {e}")
|
||
|
||
|
||
def _yunda_poll_and_download_tasks(
|
||
page, export_times, target_task_title, download_dir, final_filename
|
||
):
|
||
"""韵达专属离线任务轮询下载引擎"""
|
||
print("\n>> 正在前往【导出服务】中心...")
|
||
yunda_smart_menu_click(page, ["基础数据", "导出服务"])
|
||
|
||
export_ws_frame = page.frame_locator("section iframe")
|
||
|
||
export_ws_frame.get_by_role("cell", name="模块名称", exact=True).wait_for(
|
||
state="visible", timeout=15000
|
||
)
|
||
page.wait_for_timeout(1000)
|
||
|
||
print(">> 离线文件队列已对接,启动【1分钟高频精确校对+缺单局部重载刷新】断言...")
|
||
total_expected = len(export_times)
|
||
|
||
while True:
|
||
task_rows = export_ws_frame.locator(
|
||
".datagrid-view2 .datagrid-btable tbody tr.datagrid-row"
|
||
)
|
||
row_count = task_rows.count()
|
||
|
||
ready_indices = []
|
||
processing_indices = []
|
||
|
||
for idx in range(row_count):
|
||
row = task_rows.nth(idx)
|
||
module_name = row.locator("td[field='modueName']").inner_text().strip()
|
||
status_name = row.locator("td[field='fileStatus']").inner_text().strip()
|
||
create_time_str = (
|
||
row.locator("td[field='createdTime']").inner_text().strip()
|
||
)
|
||
|
||
if module_name == target_task_title:
|
||
try:
|
||
row_time = datetime.strptime(create_time_str, "%Y-%m-%d %H:%M:%S")
|
||
matched = any(
|
||
abs((row_time - et).total_seconds()) <= 60
|
||
for et in export_times
|
||
)
|
||
|
||
if matched:
|
||
if status_name == "导出完成":
|
||
ready_indices.append(idx)
|
||
else:
|
||
processing_indices.append(idx)
|
||
except Exception:
|
||
pass
|
||
|
||
total_found = len(ready_indices) + len(processing_indices)
|
||
print(
|
||
f" 📊 状态研判:自建期望数 [{total_expected}],实际入表 [{total_found}] (完成 [{len(ready_indices)}],生成中 [{len(processing_indices)}])"
|
||
)
|
||
|
||
if total_found < total_expected or len(processing_indices) > 0:
|
||
print(" ⏳ 队列未齐,执行【点击查询按钮】触发局部无痕刷新...")
|
||
export_ws_frame.locator(
|
||
"#ydkyimport_basic_export_searchData1_ky_export_common"
|
||
).click()
|
||
page.wait_for_timeout(3000)
|
||
else:
|
||
print(">> ✅ 所有目标离线任务全量就绪!开始依序接入文件流...")
|
||
break
|
||
|
||
downloaded_files = []
|
||
for row_idx in ready_indices:
|
||
try:
|
||
target_row = export_ws_frame.locator(
|
||
".datagrid-view2 .datagrid-btable tbody tr.datagrid-row"
|
||
).nth(row_idx)
|
||
time_flag = (
|
||
target_row.locator("td[field='createdTime']").inner_text().strip()
|
||
)
|
||
print(f" 🎯 触发下载 -> 离线任务时间节点: [{time_flag}] ...")
|
||
|
||
with page.expect_download() as download_info:
|
||
target_row.locator("td[field='extreFile'] a").get_by_text(
|
||
"下载"
|
||
).first.click()
|
||
|
||
download = download_info.value
|
||
|
||
safe_timestamp = datetime.now().strftime("%Y%m%d_%H%M%S_%f")
|
||
custom_filename = f"韵达_temp_{safe_timestamp}.xlsx"
|
||
save_path = os.path.join(download_dir, custom_filename)
|
||
|
||
download.save_as(save_path)
|
||
downloaded_files.append(save_path)
|
||
print(f" ⬇️ 文件已用安全序列号落盘: downloads/{custom_filename}")
|
||
page.wait_for_timeout(500)
|
||
except Exception as e:
|
||
print(f" ❌ 文件流接收失败: {e}")
|
||
|
||
print(">> 📥 【导出服务】数据提取链闭环,正在执行当前 Tab 窗口销毁...")
|
||
try:
|
||
page.locator(".tags-view-item", has_text="导出服务").locator(
|
||
".el-icon-close"
|
||
).click()
|
||
print(" ✅ 【导出服务】工作区已安全关闭。")
|
||
except:
|
||
pass
|
||
|
||
if downloaded_files:
|
||
print("\n>> 🧪 正在启动离线数据清洗与高能扁平合并流...")
|
||
all_dfs = []
|
||
for file_path in downloaded_files:
|
||
try:
|
||
df = pd.read_excel(file_path, dtype=str)
|
||
if not df.empty:
|
||
all_dfs.append(df)
|
||
except:
|
||
pass
|
||
|
||
if all_dfs:
|
||
combined_df = pd.concat(all_dfs, ignore_index=True)
|
||
final_output = os.path.join(download_dir, final_filename)
|
||
combined_df.to_excel(final_output, index=False)
|
||
print(f"====================================================")
|
||
print(f" 🎉 恭喜!韵达网点数据拉取合流大功告成!")
|
||
print(f" 📁 最终存储位置: {final_output}")
|
||
print(f"====================================================")
|
||
|
||
for file_path in downloaded_files:
|
||
os.remove(file_path)
|
||
print(" ✅ 临时缓存阵列已无缝净化。")
|