# site_yunda.py

import os
import re
import yaml
from datetime import datetime, timedelta
import pandas as pd


def _wait_and_get_frame(page, text_indicator, timeout_ms=20000):
    """【文本雷达探测器】全域跨框架检索包含特定文本的活动上下文"""
    start_time = datetime.now()
    while (datetime.now() - start_time).total_seconds() * 1000 < timeout_ms:
        try:
            if page.get_by_text(text_indicator).count() > 0:
                return page
        except:
            pass

        for frame in page.frames:
            try:
                if frame.get_by_text(text_indicator).count() > 0:
                    return frame
            except:
                pass

        page.wait_for_timeout(300)
    raise TimeoutError(
        f"爆栈超时：未能在活动框架中死守到包含 [{text_indicator}] 的视窗。"
    )


def _wait_and_get_frame_by_selector(page, selector, timeout_ms=20000):
    """【控件雷达探测器】无视 IFrame 的 src 或层级，直接扫描谁包含指定 CSS 控件"""
    start_time = datetime.now()
    while (datetime.now() - start_time).total_seconds() * 1000 < timeout_ms:
        try:
            if page.locator(selector).count() > 0:
                return page
        except:
            pass

        for frame in page.frames:
            try:
                if frame.locator(selector).count() > 0:
                    return frame
            except:
                pass

        page.wait_for_timeout(300)
    raise TimeoutError(f"爆栈超时：全域未探测到包含控件 [{selector}] 的业务框架。")


def yunda_smart_menu_click(page, menu_path):
    """韵达排他性二级树形菜单智能展开器"""
    print(f">> 正在导航韵达菜单: {' -> '.join(menu_path)}")
    for item in menu_path:
        locator = page.locator(".el-submenu__title, .el-menu-item", has_text=item).first
        locator.click()
        page.wait_for_timeout(600)


def yunda_expected_download(page):
    """韵达：应到货物数据下载"""
    print("\n▶ 开始执行【韵达 - 应到货物数据下载】任务...")
    target_task_title = "进站主单表"

    download_dir = os.path.join(os.getcwd(), "downloads")
    if not os.path.exists(download_dir):
        os.makedirs(download_dir)

    export_times = []

    try:
        # 1. 验证首页并智能路由
        page.locator(".el-menu-item", has_text="首页").wait_for(
            state="visible", timeout=15000
        )
        print("✅ 韵达工作台首页成功加载")

        yunda_smart_menu_click(page, ["运营管理", "进站管理", "进站交接单查询"])

        print(">> [雷达扫描] 正在跨域动态追踪【进站交接单查询】业务窗体...")
        ws_frame = _wait_and_get_frame_by_selector(page, "#startTime")

        ws_frame.locator("#startTime").wait_for(state="attached", timeout=15000)
        print("✅ 进站交接单查询工作区就绪")

        # 2. 从配置文件中解析并计算绝对日期跨度
        query_days = 1
        try:
            if os.path.exists("config.yaml"):
                with open("config.yaml", "r", encoding="utf-8") as f:
                    config = yaml.safe_load(f) or {}
                    query_days = int(config.get("yunda", {}).get("query_days", 1))
        except Exception as e:
            print(f"   ⚠️ 读取 config.yaml 失败，默认查询 1 天: {e}")

        today = datetime.now()
        start_date = today - timedelta(days=(query_days - 1))

        today_ymd = f"{today.year}-{today.month}-{today.day}"
        start_date_ymd = f"{start_date.year}-{start_date.month}-{start_date.day}"

        print(f">> 正在精准对焦时间区间: [{start_date_ymd}] 至 [{today_ymd}]")

        # 设定起始时间
        print("   >> 呼出起始时间控件...")
        page.wait_for_timeout(1000)
        ws_frame.locator("#startTime").click(force=True)

        calendar1 = ws_frame.locator(".layui-laydate:visible").first
        calendar1.wait_for(state="visible", timeout=5000)
        calendar1.locator(f"td[lay-ymd='{start_date_ymd}']").click()
        calendar1.locator(".laydate-btns-confirm").click()
        page.wait_for_timeout(400)

        # 设定截止时间
        print("   >> 呼出截止时间控件...")
        ws_frame.locator("#endTime").click(force=True)

        calendar2 = ws_frame.locator(".layui-laydate:visible").first
        calendar2.wait_for(state="visible", timeout=5000)
        calendar2.locator(f"td[lay-ymd='{today_ymd}']").click()
        calendar2.locator(".laydate-btns-confirm").click()
        page.wait_for_timeout(500)

        # 3. 多维状态机静默加载校验
        print(">> 正在触发现场查询数据流...")
        ws_frame.locator("a.btn-success", has_text="查询").click()

        page.wait_for_timeout(1000)

        sum_panel = ws_frame.locator("#sum")
        has_data = False

        if sum_panel.is_visible():
            sum_text = sum_panel.inner_text()
            match_tickets = re.search(r"进站实际票数:(\d+)", sum_text)
            if match_tickets and int(match_tickets.group(1)) > 0:
                has_data = True
                print(
                    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。"
                )

        if not has_data:
            if ws_frame.locator(
                ".no-records-found", has_text="没有找到匹配的记录"
            ).is_visible():
                print(
                    "   ⚠️ 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..."
                )
                page.locator(".tags-view-item", has_text="进站交接单查询").locator(
                    ".el-icon-close"
                ).click()
                return

        # 4. 深度等待表格第一行数据行渲染就绪
        ws_frame.locator("#exampleTable1 tbody tr[data-index='0']").wait_for(
            state="visible", timeout=10000
        )

        main_rows = ws_frame.locator("#exampleTable1 tbody tr[data-index]")
        row_count = main_rows.count()
        print(f">> 当前视窗共捕获到活跃交接单记录: {row_count} 条")

        # 5. 循环双击穿透提交
        for i in range(row_count):
            print(f"   ⏳ 正在处理第 {i+1}/{row_count} 个交接单模块...")
            current_row = ws_frame.locator("#exampleTable1 tbody tr[data-index]").nth(i)

            raw_no = current_row.locator("td").nth(1).inner_text().strip()
            print(f"      -> 锁定交接单号: {raw_no}")

            current_row.dblclick()

            ws_frame.locator("#docSum").wait_for(state="visible", timeout=15000)
            page.wait_for_timeout(500)

            ws_frame.locator('a.btn-info[onclick*="exportFile"]').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="target1"]')

            # 首次触发全选所有字段
            export_frame.locator(".allRight").click()
            page.wait_for_timeout(400)

            # ====================================================================
            # 🛡️ 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】
            # ====================================================================
            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()
                print(
                    f"      -> 已触发第 {attempt + 1} 次【导出数据】指令，等待校验响应..."
                )

                # 依靠具防抖特性的 Link 角色定位“确定”按钮
                confirm_link = export_frame.get_by_role("link", name="确定")
                try:
                    # 等待提交重载后的新文档渲染出提示框
                    confirm_link.wait_for(state="visible", timeout=6000)

                    # 场景 1：建立成功
                    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

                    # 场景 2：核心优化 - 发现字段全选未生效报错
                    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【未选择字段】错误提示！正在清除弹窗并强行补点【全选】按钮..."
                        )
                        confirm_link.click()
                        page.wait_for_timeout(500)
                        # 再次执行强行补点全选
                        export_frame.locator(".allRight").click()
                        print(
                            "      -> 【全选】按钮已重新触发补点，准备进入下一轮提交。"
                        )
                        page.wait_for_timeout(500)

                    # 场景 3：其他网络或未知异常提示
                    else:
                        print(
                            "      ⚠️ 警告：检测到其他异常提示消息，正在清除弹窗并重试..."
                        )
                        confirm_link.click()
                        page.wait_for_timeout(1000)
                except Exception as e:
                    print(
                        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..."
                    )
                    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任务，请检查网点后台事务层。"
                )
            # ====================================================================

            # 关闭高层 Layui 挂载的数据导出窗口
            ws_frame.locator(".layui-layer-close1").click()
            page.wait_for_timeout(500)

            # 回退到主表标签页
            ws_frame.locator("#myTab a", has_text="交接单信息").click()
            page.wait_for_timeout(800)

            export_times.append(datetime.now())

        # 6. 一阶段全量数据提交闭环，销毁当前业务 Tab
        print(">> 📤 任务提交流闭环，正在执行【进站交接单查询】工作台销毁...")
        page.locator(".tags-view-item", has_text="进站交接单查询").locator(
            ".el-icon-close"
        ).click()
        page.wait_for_timeout(500)

        # 7. 进入【导出服务】队列收割
        _yunda_poll_and_download_tasks(
            page,
            export_times,
            target_task_title,
            download_dir,
            "韵达-应到货物数据.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)}])"
        )

        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

    # 8. 下载成果流
    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}")

    # 环境清理：彻底关闭“导出服务”Tab
    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

    # 9. 合并扁平数据集
    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。")


def yunda_actual_download(page):
    """韵达：实到货物数据下载"""
    print("\n▶ 开始执行【韵达 - 实到货物数据下载】任务...")
    print("🚧 韵达实到数据功能规划中...")
    pass