Implement Yunda actual-arrival download and harden query loading
- Implement yunda_actual_download via the 报表管理 -> 扫描记录查询 menu: set date range, switch scan type to 到件, then reuse the shared poll/download/merge engine - Add a three-stage query buffer (yield, wait for the Bootstrap Table loading mask, settle) before the data/empty verdict to avoid stale DOM reads in the expected-arrival flow - Trim the offline-export retry state machine's verbose logs - Fix a typo (研编 -> 研判) and drop the 待开发 tag on menu [7] Co-Authored-By: Claude <noreply@anthropic.com>
This commit is contained in:
@@ -223,7 +223,7 @@ def run_multi_site_daemon():
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print("-" * 52)
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print(" 模块四:【韵达】数据处理流")
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print(" [6] 执行 - 应到货物数据下载")
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print(" [7] 执行 - 实到货物数据下载 (待开发)")
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print(" [7] 执行 - 实到货物数据下载")
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print("-" * 52)
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print(" 全局离线数据引擎")
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print(" [9] 执行 - 异常数据清洗比对 (Left Anti-Join)")
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247
site_yunda.py
247
site_yunda.py
@@ -125,12 +125,26 @@ def yunda_expected_download(page):
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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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# ====================================================================
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# 🛡️ 深度优化:三段式安全缓冲,彻底规避 DOM 旧状态穿透陷阱
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# ====================================================================
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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(1000)
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# 阶段1:物理安全挂起,赋予浏览器触发渲染周期和 Ajax 的生命力
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page.wait_for_timeout(800)
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# 阶段2:精准抓取 Bootstrap Table 专属的加载遮罩层
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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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)
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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) # DOM 重排完毕后再缓冲半秒
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# 阶段3:进入绝对真实的终态判定世界
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sum_panel = ws_frame.locator("#sum")
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has_data = False
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@@ -170,7 +184,7 @@ def yunda_expected_download(page):
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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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print(f" -> 锁定交接单号: {raw_no}")
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print(f" -> 锁定提取单号: {raw_no}")
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current_row.dblclick()
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@@ -184,75 +198,46 @@ def yunda_expected_download(page):
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)
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export_frame = ws_frame.frame_locator('iframe[name="target1"]')
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# 首次触发全选所有字段
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export_frame.locator(".allRight").click()
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page.wait_for_timeout(400)
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# ====================================================================
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# 🛡️ 智能容错重试状态机:完美兼容【离线建立失败】与【字段全选漏掉报错】
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# ====================================================================
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# 智能重试容错状态机
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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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print(
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f" -> 已触发第 {attempt + 1} 次【导出数据】指令,等待校验响应..."
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)
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# 依靠具防抖特性的 Link 角色定位“确定”按钮
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confirm_link = export_frame.get_by_role("link", name="确定")
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try:
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# 等待提交重载后的新文档渲染出提示框
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confirm_link.wait_for(state="visible", timeout=6000)
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# 场景 1:建立成功
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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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# 场景 2:核心优化 - 发现字段全选未生效报错
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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】错误提示!正在清除弹窗并强行补点【全选】按钮..."
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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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# 再次执行强行补点全选
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export_frame.locator(".allRight").click()
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print(
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" -> 【全选】按钮已重新触发补点,准备进入下一轮提交。"
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)
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page.wait_for_timeout(500)
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# 场景 3:其他网络或未知异常提示
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else:
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print(
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" ⚠️ 警告:检测到其他异常提示消息,正在清除弹窗并重试..."
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)
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confirm_link.click()
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page.wait_for_timeout(1000)
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except Exception as e:
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print(
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f" ⚠️ 提示:第 {attempt + 1} 次提交后未能在安全时间内捕获到提示框 ({e}),准备重试..."
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)
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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任务,请检查网点后台事务层。"
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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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# ====================================================================
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# 关闭高层 Layui 挂载的数据导出窗口
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ws_frame.locator(".layui-layer-close1").click()
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page.wait_for_timeout(500)
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# 回退到主表标签页
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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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@@ -278,6 +263,180 @@ def yunda_expected_download(page):
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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(">> [雷达扫描] 正在跨域动态追踪【扫描记录查询】业务窗体...")
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ws_frame = _wait_and_get_frame_by_selector(page, "#startDate")
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ws_frame.locator(".no-records-found", has_text="没有找到匹配的记录").wait_for(
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state="visible", timeout=15000
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)
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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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# ====================================================================
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# 🛡️ 深度优化:实到数据的三段式安全缓冲判定
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# ====================================================================
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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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)
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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")
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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(
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f" ✅ 深度断言:实到数据渲染完毕,总记录数: [{match_total.group(1)}] 条。"
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)
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if not has_records:
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if 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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).is_visible():
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print(
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" ⚠️ 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。"
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)
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page.locator(".tags-view-item", has_text="扫描记录查询").locator(
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".el-icon-close"
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).click()
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return
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else:
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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...")
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page.locator(".tags-view-item", has_text="扫描记录查询").locator(
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".el-icon-close"
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).click()
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return
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# 5. 执行导出流
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print(">> 正在发起【导出】申请指令...")
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ws_frame.locator('input[type="button"][id="export"]').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="myFrame"]')
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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("请选择格式相应的导出字段").is_visible():
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print(" ⚠️ 警告:检测到字段未全选,执行强补点击...")
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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实到数据离线任务。"
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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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export_times.append(datetime.now())
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print(">> 📤 任务提交流闭环,正在执行【扫描记录查询】工作台销毁...")
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page.locator(".tags-view-item", has_text="扫描记录查询").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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# 6. 收割下载
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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-实到货物数据.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_poll_and_download_tasks(
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page, export_times, target_task_title, download_dir, final_filename
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):
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@@ -286,7 +445,6 @@ def _yunda_poll_and_download_tasks(
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yunda_smart_menu_click(page, ["基础数据", "导出服务"])
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export_ws_frame = page.frame_locator("section iframe")
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export_ws_frame.get_by_role("cell", name="模块名称", exact=True).wait_for(
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state="visible", timeout=15000
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)
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@@ -330,7 +488,7 @@ def _yunda_poll_and_download_tasks(
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total_found = len(ready_indices) + len(processing_indices)
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print(
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f" 📊 状态研编:自建期望数 [{total_expected}],实际入表 [{total_found}] (完成 [{len(ready_indices)}],生成中 [{len(processing_indices)}])"
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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)}])"
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)
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if total_found < total_expected or len(processing_indices) > 0:
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@@ -343,7 +501,7 @@ def _yunda_poll_and_download_tasks(
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print(">> ✅ 所有目标离线任务全量就绪!开始依序接入文件流...")
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break
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# 8. 下载成果流
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# 下载成果流
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downloaded_files = []
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for row_idx in ready_indices:
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try:
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@@ -373,7 +531,7 @@ def _yunda_poll_and_download_tasks(
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except Exception as e:
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print(f" ❌ 文件流接收失败: {e}")
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# 环境清理:彻底关闭“导出服务”Tab
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# 环境清理
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print(">> 📥 【导出服务】数据提取链闭环,正在执行当前 Tab 窗口销毁...")
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try:
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page.locator(".tags-view-item", has_text="导出服务").locator(
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@@ -383,7 +541,7 @@ def _yunda_poll_and_download_tasks(
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except:
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pass
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# 9. 合并扁平数据集
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# 合并扁平数据集
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if downloaded_files:
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print("\n>> 🧪 正在启动离线数据清洗与高能扁平合并流...")
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all_dfs = []
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@@ -407,10 +565,3 @@ def _yunda_poll_and_download_tasks(
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for file_path in downloaded_files:
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os.remove(file_path)
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print(" ✅ 临时缓存阵列已无缝净化。")
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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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print("🚧 韵达实到数据功能规划中...")
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pass
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Reference in New Issue
Block a user