# site_zto.py

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


def _wait_and_get_frame(page, text_indicator, timeout_ms=20000):
    """动态雷达探测器：全域扫描所有视窗"""
    start_time = datetime.now()
    while (datetime.now() - start_time).total_seconds() * 1000 < timeout_ms:
        # 1. 探测最外层
        try:
            if page.get_by_text(text_indicator).count() > 0:
                return page
        except:
            pass

        # 2. 穿透扫描所有活跃的子 iframe
        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：全域未死守到包含 [{text_indicator}] 的弹窗视窗。")


def _ensure_menu_expanded(page, level1_name, level2_name=None):
    """MiniUI 智能菜单展开器"""
    print(f">> 正在智能路由菜单...")
    if level2_name:
        if not page.locator(
            "li.shrink span.menu-name", has_text=level2_name
        ).is_visible():
            page.locator(
                "a.treeview-title span.menu-name", has_text=level1_name
            ).click()
            page.wait_for_timeout(500)
    else:
        if not page.locator(
            "a.treeview-title span.menu-name", has_text=level1_name
        ).is_visible():
            page.locator(
                "a.treeview-title span.menu-name", has_text=level1_name
            ).click()
            page.wait_for_timeout(500)


def zto_smart_menu_click(page, menu_path):
    """中通智能菜单导航器"""
    print(f">> 正在导航: {' -> '.join(menu_path)}")
    for i in range(len(menu_path)):
        current_menu = menu_path[i]
        if i < len(menu_path) - 1:
            next_menu = menu_path[i + 1]
            next_locator = page.locator("span.menu-name", has_text=next_menu).first
            if not next_locator.is_visible():
                page.locator("span.menu-name", has_text=current_menu).first.click()
                page.wait_for_timeout(800)
        else:
            page.locator("span.menu-name", has_text=current_menu).first.click()
            page.wait_for_timeout(1000)


def zto_expected_download(page):
    """中通：应到货物数据下载"""
    print("\n▶ 开始执行【中通 - 应到货物数据下载】任务...")

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

    export_times = []

    try:
        # 1. 智能导航
        zto_smart_menu_click(page, ["运营管理", "进站管理", "进站交接单查询"])

        ewb_frame = page.frame_locator('iframe[src*="inEwbsListNoSearch"]')

        print(">> 正在探针检测表格统计面板 (#inEwbCount)...")
        ewb_frame.locator("#inEwbCount").wait_for(state="attached", timeout=15000)

        # 读取 YAML 配置设定天数
        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("zto", {}).get("query_days", 1))
        except Exception as e:
            print(f"   ⚠️ 读取 config.yaml 失败，默认查询 1 天: {e}")

        print(f">> 正在设定查询时间范围为近【{query_days}】天...")
        ewb_frame.locator("#beginDate").click()
        page.wait_for_timeout(500)

        today_cell = ewb_frame.locator("td div.day.real-today").first
        today_cell.wait_for(state="visible")

        today_time_str = today_cell.get_attribute("time")
        if today_time_str:
            today_time = int(today_time_str)
            start_time = today_time - (query_days - 1) * 86400000
            start_cell = ewb_frame.locator(f"td div.day[time='{start_time}']").first

            if start_cell.is_visible():
                start_cell.click()
                page.wait_for_timeout(300)
                today_cell.click()
            else:
                print("   ⚠️ 设定的天数过大，不在当前日历视窗内，自动降级为查询当天。")
                today_cell.click()
                page.wait_for_timeout(300)
                today_cell.click()
        else:
            today_cell.click()
            page.wait_for_timeout(300)
            today_cell.click()

        page.wait_for_timeout(500)

        # 3. 触发查询与深度状态机判定
        print(">> 正在点击【查询】按钮并等待数据响应...")
        ewb_frame.locator("#searchbtn").click()

        page.wait_for_timeout(1000)

        loading_mask = ewb_frame.locator(".mini-mask-loading", has_text="加载中")
        if loading_mask.is_visible():
            print("   ⏳ 检测到数据加载遮罩层，等待系统渲染...")
            loading_mask.wait_for(state="hidden", timeout=30000)

        page.wait_for_timeout(1000)

        empty_flag = ewb_frame.locator("span", has_text="没有搜索到符合条件的数据记录")
        if empty_flag.is_visible():
            print("   ⚠️ 当前查询范围内【没有搜索到符合条件的数据记录】，终止导出。")
            return

        ticket_count_str = ewb_frame.locator("#inEwbCount").inner_text().strip()
        print(f"   ✅ 数据渲染完毕！当前进站实际票数为: [{ticket_count_str}]")

        # 4. 提取主表记录并循环双击
        main_rows = ewb_frame.locator("#datagrid1 .mini-grid-rows-view .mini-grid-row")
        count = main_rows.count()
        print(f">> 共发现 {count} 个交接单需要导出。")

        for i in range(count):
            print(f"   ⏳ 正在处理第 {i+1}/{count} 个交接单...")

            row = ewb_frame.locator(
                "#datagrid1 .mini-grid-rows-view .mini-grid-row"
            ).nth(i)

            # 正则表达式清洗交接单号
            raw_text = row.locator("td").nth(3).inner_text()
            match = re.search(r"\d{18}", raw_text)
            handover_no = match.group(0) if match else raw_text.strip()
            print(f"      -> 锁定提取单号：{handover_no}")

            row.dblclick()

            ewb_frame.locator("#datagrid2").get_by_text("运单号").wait_for(
                state="visible"
            )
            ewb_frame.locator(
                "#datagrid2 .mini-grid-row", has_text=handover_no
            ).first.wait_for(state="visible")

            # 5. 执行导出流程
            ewb_frame.locator("#exportExcel").click()

            page.locator(".mini-panel-title", has_text="导出选择列").wait_for(
                state="visible"
            )
            export_frame = page.frame_locator('iframe[src*="download"]')

            export_frame.locator(".mini-button-text", has_text=">>").click()
            page.wait_for_timeout(300)
            export_frame.locator(".mini-button-text", has_text="确定").click()

            print("   >> [雷达扫描] 正在跨域动态追踪【温馨提示】所在的隐身视窗...")
            ctx_alert = _wait_and_get_frame(page, "温馨提示")

            ctx_alert.locator(
                ".mini-messagebox-buttons .mini-button-text", has_text="确定"
            ).click()
            print("   ✅ 【温馨提示】已成功通过父级过滤并确认！")

            print("   >> 正在等待服务器建立后台离线任务...")
            try:
                ctx_tips = _wait_and_get_frame(
                    page, "生成离线导出任务成功", timeout_ms=10000
                )
                ctx_tips.locator(".mini-tips-success").wait_for(
                    state="hidden", timeout=15000
                )
                print("   ✅ 成功提示框已平滑隐藏。")
            except Exception as e:
                print("   ✅ 成功提示框及其容器已自动销毁 (触发 Detached 拦截)。")

            export_times.append(datetime.now())

            # 同域无缝 Tab 切换回交接单信息
            print("   >> 切换回【交接单信息】标签页...")
            ewb_frame.locator("#ewbsListNo").click()
            page.wait_for_timeout(1000)

        if count > 0:
            print("✅ 所有交接单的导出任务已成功提交！")
        else:
            print("⚠️ 未发现任何数据，直接跳转至下载环节。")

        # 6. 前往【导出任务管理】
        print("\n>> 正在前往【导出任务管理】界面...")
        zto_smart_menu_click(page, ["系统配置", "导出任务管理"])

        taskdone_frame = page.frame_locator('iframe[src*="taskdone"]')

        taskdone_frame.locator("#taskdoneDatagrid").get_by_text("任务标题").wait_for(
            state="visible"
        )
        page.wait_for_timeout(2000)

        # 7. 轮询任务状态
        print(">> 列表中已渲染，开始匹配并检查后端处理状态...")
        while True:
            task_rows = taskdone_frame.locator(
                "#taskdoneDatagrid .mini-grid-rows-view .mini-grid-row"
            )
            row_count = task_rows.count()
            pending_tasks = 0
            current_ready_timestamps = []

            for i in range(row_count):
                tds = task_rows.nth(i).locator("td")
                if tds.count() < 10:
                    continue

                title_str = tds.nth(3).inner_text().strip()
                submit_time_str = tds.nth(4).inner_text().strip()
                status_str = tds.nth(6).inner_text().strip()

                if title_str == "进站交接单查询-运单信息":
                    try:
                        row_time = datetime.strptime(
                            submit_time_str, "%Y-%m-%d %H:%M:%S"
                        )
                        matched = any(
                            abs((row_time - et).total_seconds()) <= 120
                            for et in export_times
                        )

                        if matched:
                            if status_str != "成功执行":
                                pending_tasks += 1
                                if submit_time_str not in current_ready_timestamps:
                                    print(
                                        f"   ⏳ 任务 [{submit_time_str}] 状态为【{status_str}】，数据生成中..."
                                    )
                            else:
                                if submit_time_str not in current_ready_timestamps:
                                    current_ready_timestamps.append(submit_time_str)
                    except Exception as e:
                        print(f"   ⚠️ 解析时间时出错: {e}")

            if pending_tasks > 0:
                print(
                    f">> 共有 {pending_tasks} 个匹配任务还在处理中，等待 5 秒后刷新..."
                )
                page.wait_for_timeout(5000)
                page.locator("li.leaf span.menu-name", has_text="导出任务管理").click()
                page.wait_for_timeout(2000)
            else:
                target_task_timestamps = current_ready_timestamps
                if len(target_task_timestamps) > 0:
                    print(">> ✅ 所有目标任务已就绪！开始并行下载...")
                break

        # 8. 下载逻辑
        downloaded_files = []
        for time_str in target_task_timestamps:
            try:
                target_row = taskdone_frame.locator(
                    "#taskdoneDatagrid .mini-grid-rows-view .mini-grid-row"
                ).filter(
                    has=taskdone_frame.locator(
                        f"td:nth-child(5):has-text('{time_str}')"
                    )
                )
                print(f"   🎯 触发下载 -> 任务 [{time_str}] ...")

                # 闭环 Checkbox 勾选逻辑
                checkbox = target_row.locator(".mini-grid-checkbox")
                if checkbox.is_visible():
                    checkbox.click()
                    print("      -> 已勾选当前记录的 Checkbox")
                    page.wait_for_timeout(500)

                with page.expect_download() as download_info:
                    target_row.locator("td").nth(10).locator(".ui-btn-download").click()

                download = download_info.value
                save_path = os.path.join(download_dir, download.suggested_filename)
                download.save_as(save_path)
                downloaded_files.append(save_path)
                print(f"   ⬇️ 文件已落盘: downloads/{download.suggested_filename}")

                if checkbox.is_visible():
                    checkbox.click()
                    print("      -> 已取消勾选，清理现场进入下一条")
                    page.wait_for_timeout(500)

            except Exception as e:
                print(f"   ❌ 下载任务 [{time_str}] 失败: {e}")

        # 9. 合并数据
        if downloaded_files:
            print("\n>> 🧪 正在开始执行扁平数据高能合并流程...")
            all_data_frames = []
            for file_path in downloaded_files:
                try:
                    # ====================================================================
                    # 🛡️ 核心修复：强制以字符串类型 (str) 读取所有列，彻底防止长单号变科学计数法或丢失精度
                    # ====================================================================
                    df = pd.read_excel(file_path, dtype=str)
                    if not df.empty:
                        all_data_frames.append(df)
                except Exception as e:
                    pass

            if all_data_frames:
                combined_df = pd.concat(all_data_frames, ignore_index=True)
                final_output_path = os.path.join(download_dir, "中通-应到货物数据.xlsx")
                combined_df.to_excel(final_output_path, index=False)
                print(f"====================================================")
                print(f"   🎉 恭喜！合并成功！最终输出路径: {final_output_path}")
                print(f"====================================================")

                for file_path in downloaded_files:
                    os.remove(file_path)
                print("✅ 临时数据清理完毕。")
        print("\n🎉 【中通 - 应到货物数据下载】全流程测试完毕！")

    except Exception as e:
        print(f"\n❌ 任务执行过程中发生异常: {e}")


def zto_actual_download(page):
    """中通：实到货物数据下载"""
    print("\n▶ 开始执行【中通 - 实到货物数据下载】任务...")
    print("🚧 逻辑开发中 (pass)...")
    pass