# site_yunda.py

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

from paths import DOWNLOAD_DIR, CONFIG_PATH


def yunda_login(page):
    """韵达自动登录：未登录则填充表单并提交，已登录则跳过。"""
    print(">> 正在检查韵达登录状态...")
    try:
        # 定位“账号密码登录”切换按钮
        switch_btn = page.locator("span", has_text="账号密码登录")

        # 5 秒内若出现该按钮，说明当前未登录
        if switch_btn.is_visible(timeout=5000):
            print("   -> 检测到未登录界面，正在切换到【账号密码登录】...")
            switch_btn.click()
            page.wait_for_timeout(500)

            # 从配置读取凭证（默认空串；真实凭据仅存于被忽略的 config.yaml）
            username = ""
            password = ""
            if os.path.exists(CONFIG_PATH):
                with open(CONFIG_PATH, "r", encoding="utf-8") as f:
                    config = yaml.safe_load(f) or {}
                    yd_cfg = config.get("yunda", {})
                    username = str(yd_cfg.get("username", ""))
                    password = str(yd_cfg.get("password", ""))

            print(f"   -> 正在填充登录表单 (账号: {username})...")
            page.locator("#username").fill(username)
            page.locator("#password").fill(password)
            page.wait_for_timeout(300)

            print("   -> 正在点击【登录】按钮并提交表单...")
            page.locator('button[type="submit"]', has_text="登录").click()
            page.wait_for_timeout(1000)
        else:
            print(
                "   -> 未发现登录按钮，判定为已登录，跳过。"
            )
    except Exception as e:
        print(f"   ⚠️ 登录检测出错（可能已在工作台内）: {e}")


def yunda_smart_menu_click(page, menu_path):
    """韵达多级菜单导航：展开父级菜单并点击目标项（已展开则跳过，避免误折叠）。"""
    print(f">> 导航韵达菜单: {' -> '.join(menu_path)}")

    for item in menu_path:
        title_locator = page.locator(
            f"xpath=//div[contains(@class, 'el-submenu__title') and .//span[normalize-space(.)='{item}']]"
        ).first
        parent_li = page.locator(
            f"xpath=//div[contains(@class, 'el-submenu__title') and .//span[normalize-space(.)='{item}']]/.."
        ).first
        leaf_locator = page.locator(
            f"xpath=//li[contains(@class, 'el-menu-item') and .//span[normalize-space(.)='{item}']]"
        ).first

        if title_locator.is_visible():
            current_class = parent_li.get_attribute("class") or ""
            is_opened = "is-opened" in current_class

            if not is_opened:
                print(f"   -> 父菜单 [{item}] 处于收起状态，点击展开")
                title_locator.click()
                page.wait_for_timeout(500)
            else:
                print(
                    f"   -> 父菜单 [{item}] 已展开，跳过点击"
                )

        elif leaf_locator.is_visible():
            print(f"   -> 点击菜单项 [{item}]")
            leaf_locator.click()
            page.wait_for_timeout(1000)


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 = DOWNLOAD_DIR
    if not os.path.exists(download_dir):
        os.makedirs(download_dir)

    export_times = []

    try:
        # 1. 验证首页并导航菜单
        page.locator(".el-menu-item", has_text="首页").wait_for(
            state="visible", timeout=15000
        )
        print("✅ 韵达工作台首页已加载")

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

        print(">> 正在定位【进站交接单查询】iframe...")
        # 使用 frame_locator 定位业务 iframe
        ws_frame = page.frame_locator("section iframe")

        ws_frame.locator("#startTime").wait_for(state="attached", timeout=15000)
        print("✅ 进站交接单查询页面就绪")

        # 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_PATH):
                with open(CONFIG_PATH, "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">> 设置查询时间范围: [{start_date_ymd}] 至 [{today_ymd}]")

        # 设定起始时间
        print("   >> 设置起始时间...")
        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("   >> 设置截止时间...")
        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. 等待数据加载完成
        print(">> 正在执行查询...")
        ws_frame.locator("a.btn-success", has_text="查询").click()

        page.wait_for_timeout(800)

        # ====================================================================
        # 将 Loading 蒙层与数据判断限制在 #tab-1 内
        # 避免多标签页命中多个元素 (Strict Mode)
        # ====================================================================
        loading_mask = ws_frame.locator(
            "#tab-1 .fixed-table-loading", has_text="正在努力地加载数据中"
        ).first
        if loading_mask.is_visible():
            print("   ⏳ 检测到数据加载遮罩，等待加载完成...")
            loading_mask.wait_for(state="hidden", timeout=30000)

        page.wait_for_timeout(500)

        sum_panel = ws_frame.locator("#sum").first
        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"   ✅ 统计面板已加载，实际票数: [{match_tickets.group(1)}]"
                )

        if not has_data:
            # 空数据提示同样限制在当前 tab 内
            if ws_frame.locator(
                "#tab-1 .no-records-found", has_text="没有找到匹配的记录"
            ).first.is_visible():
                print(
                    "   ⚠️ 确认为空数据，正在关闭当前标签页..."
                )
                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. 逐行双击并提交导出
        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()
            # ====================================================================
            # 跳过已绑定的交接单
            # ====================================================================
            bind_status = current_row.locator("td").nth(2).inner_text().strip()
            print(f"      -> 交接单号: {raw_no} [绑定状态: {bind_status}]")

            if bind_status == "已绑定":
                print("      ⏭️ 该交接单已绑定，跳过。")
                continue

            # ====================================================================

            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"]')
            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("      ✅ 已确认导出任务建立成功。")
                        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(
                            "      ⚠️ 检测到未选择字段，重新点击全选..."
                        )
                        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(
                    "连续 5 次尝试均未能建立应到数据离线任务。"
                )

            ws_frame.locator(".layui-layer-close1").click()
            page.wait_for_timeout(500)
            ws_frame.locator("#myTab a", has_text="交接单信息").click()
            page.wait_for_timeout(800)
            export_times.append(datetime.now())

        print(">> 任务提交完成，正在关闭【进站交接单查询】标签页...")
        page.locator(".tags-view-item", has_text="进站交接单查询").locator(
            ".el-icon-close"
        ).click()
        page.wait_for_timeout(500)

        # 若所有记录都被跳过，export_times 为空，直接结束
        if not export_times:
            print(
                ">> ⚠️ 本次未产生任何离线下载任务（无数据或已全部跳过），结束。"
            )
            return

        _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}")
        return False


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...")
    target_task_title = "扫描记录数据"

    download_dir = DOWNLOAD_DIR
    if not os.path.exists(download_dir):
        os.makedirs(download_dir)

    export_times = []

    try:
        page.locator(".el-menu-item", has_text="首页").wait_for(
            state="visible", timeout=15000
        )
        print("✅ 韵达工作台首页已加载")

        yunda_smart_menu_click(page, ["报表管理", "扫描记录查询"])

        print(">> 正在定位【扫描记录查询】iframe...")
        ws_frame = page.frame_locator("section iframe")

        ws_frame.locator(
            ".no-records-found", has_text="没有找到匹配的记录"
        ).first.wait_for(state="visible", timeout=15000)
        print("✅ 扫描记录查询页面已初始化")

        query_days = 1
        try:
            if os.path.exists(CONFIG_PATH):
                with open(CONFIG_PATH, "r", encoding="utf-8") as f:
                    config = yaml.safe_load(f) or {}
                    query_days = int(config.get("yunda", {}).get("query_days", 1))
        except Exception:
            pass

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

        print(f">> 设置实到查询时间范围: [近 {query_days} 天]")

        print("   >> 正在设定起始时间...")
        ws_frame.locator("#startDate").click()
        page.wait_for_timeout(400)
        box1 = ws_frame.locator("#laydate_box:visible").first
        box1.locator(
            f"td[y='{start_date.year}'][m='{start_date.month}'][d='{start_date.day}']"
        ).click()
        page.wait_for_timeout(400)

        print("   >> 正在设定截止时间...")
        ws_frame.locator("#endDate").click()
        page.wait_for_timeout(400)
        box2 = ws_frame.locator("#laydate_box:visible").first
        box2.locator(
            f"td[y='{today.year}'][m='{today.month}'][d='{today.day}']"
        ).click()
        page.wait_for_timeout(500)

        print("   >> 正在变更扫描类型为【到件】...")
        ws_frame.locator("#scanRecordTyp").select_option(value="03")
        page.wait_for_timeout(500)

        print(">> 正在执行查询...")
        ws_frame.locator('input[type="button"][value="查询"]').click()

        page.wait_for_timeout(800)

        loading_mask = ws_frame.locator(
            ".fixed-table-loading", has_text="正在努力地加载数据中"
        ).first
        if loading_mask.is_visible():
            print("   ⏳ 检测到数据加载遮罩，等待加载完成...")
            loading_mask.wait_for(state="hidden", timeout=30000)

        page.wait_for_timeout(500)

        pg_info = ws_frame.locator(".pagination-info").first
        has_records = False

        if pg_info.is_visible():
            info_text = pg_info.inner_text()
            match_total = re.search(r"总共\s*(\d+)\s*条记录", info_text)
            if match_total and int(match_total.group(1)) > 0:
                has_records = True
                print(
                    f"   ✅ 实到数据已加载，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(
                    "   ⚠️ 当前查询范围内为空数据，终止并关闭标签页。"
                )
                page.locator(".tags-view-item", has_text="扫描记录查询").locator(
                    ".el-icon-close"
                ).click()
                return
            else:
                print("   ⚠️ 未找到数据，也未出现空数据提示，结束。")
                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...")
        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("      ✅ 已确认导出任务建立成功。")
                    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("      ⚠️ 检测到字段未全选，重新点击全选...")
                    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(
                "连续 5 次尝试均未能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(">> 任务提交完成，正在关闭【扫描记录查询】标签页...")
        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(">> ⚠️ 本次未产生任何离线下载任务，结束。")
            return

        # 6. 轮询并下载
        _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}")
        return False


def _yunda_poll_and_download_tasks(
    page, export_times, target_task_title, download_dir, final_filename
):
    """韵达离线任务的轮询与下载"""
    print("\n>> 正在前往【导出服务】界面...")
    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(">> 开始轮询离线文件队列（定时刷新直到任务齐全）...")
    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"   📊 状态统计：期望 [{total_expected}]，已入表 [{total_found}] (完成 [{len(ready_indices)}]，生成中 [{len(processing_indices)}])"
        )

        if total_found < total_expected or len(processing_indices) > 0:
            print("   ⏳ 队列未齐全，点击查询刷新...")
            export_ws_frame.locator(
                "#ydkyimport_basic_export_searchData1_ky_export_common"
            ).click()
            page.wait_for_timeout(3000)
        else:
            print(">> 所有目标离线任务已就绪，开始依次下载...")
            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"   开始下载任务 [{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"   已下载: downloads/{custom_filename}")
            page.wait_for_timeout(500)
        except Exception as e:
            print(f"   ❌ 下载失败: {e}")

    print(">> 【导出服务】下载完成，正在关闭标签页...")
    try:
        page.locator(".tags-view-item", has_text="导出服务").locator(
            ".el-icon-close"
        ).click()
        print("   ✅ 【导出服务】标签页已关闭。")
    except Exception:
        pass

    if downloaded_files:
        print("\n>> 正在合并下载的数据...")
        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 Exception:
                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"   合并完成。")
            print(f"   📁 输出路径: {final_output}")
            print(f"====================================================")

            for file_path in downloaded_files:
                os.remove(file_path)
            print("   临时文件已清理。")