"""
主程序 - 批量下载离散备料计划维护数据
"""
from playwright.sync_api import sync_playwright
from login import login
import re
import os
import pandas as pd
from time import sleep
from utils.excel_converter import ExcelConverter


def read_order_ids(file_path):
    """读取订单号文件"""
    with open(file_path, 'r', encoding='utf-8') as f:
        # 去除空白行和空格
        order_ids = [line.strip() for line in f if line.strip()]
    return order_ids


def group_order_ids(order_ids, group_size=100):
    """将订单号分组"""
    for i in range(0, len(order_ids), group_size):
        yield order_ids[i:i + group_size]


def download_batch(inner_frame, order_ids, batch_index, page1, debug_mode=False, debug_batch=None):
    """下载一批订单号的数据"""
    # 清空文本框
    textbox = inner_frame.get_by_role("textbox", name="来源生产订单号")
    textbox.fill("")

    # 填充订单号
    textbox.fill(",".join(order_ids))

    # 点击查询
    inner_frame.locator(".search-component-searchBtn").click()
    print(f"第 {batch_index + 1} 批查询完成，等待加载结果...")

    # 等待加载完成
    loading_locator = inner_frame.locator("div").filter(has_text="加载中").nth(1)
    try:
        loading_locator.wait_for(state="visible", timeout=3000)
        loading_locator.wait_for(state="hidden", timeout=0)  # 无限等待，直到消失
    except TimeoutError:
        # 加载很快完成，或者没有出现加载提示
        pass
    print(f"第 {batch_index + 1} 批加载完成，开始选择数据...")

    # 调试模式：只在指定批次暂停
    if debug_mode and (debug_batch is None or batch_index == debug_batch):
        print(f"=== 调试暂停：第 {batch_index + 1} 批 ===")
        page1.pause()

    # 选择所有数据
    inner_frame.get_by_role("row", name="序号").get_by_label("").click()

    # 点击输出
    inner_frame.get_by_role("button", name="更多").hover()
    inner_frame.get_by_text("输出", exact=True).click()

    # 设置行数阈值
    input_box = inner_frame.locator("div").filter(has_text=re.compile(r"^行数阈值$")).locator("input[type='text']")
    input_box.fill("300000")

    # 下载文件
    download_path = f"D:/python/playwrite/data/temp_batch_{batch_index + 1}.xlsx"
    with page1.expect_download() as download_info:
        inner_frame.get_by_role("button", name="确定(Y)").click()

    download = download_info.value
    download.save_as(download_path)
    print(f"第 {batch_index + 1} 批下载完成: {download_path}")

    # 关闭输出对话框（如果有的话）
    try:
        inner_frame.get_by_role("button", name="取消").click()
    except:
        pass

    # 等待页面恢复，准备下一次查询
    import time
    time.sleep(1)

    return download_path


def convert_and_merge_files(file_paths, output_path):
    """使用 ExcelConverter 转换并合并所有文件"""
    converter = ExcelConverter(verbose=False)  # 不打印详细日志
    all_dataframes = []

    for i, file_path in enumerate(file_paths, 1):
        print(f"转换第 {i} 个文件: {file_path}")
        df = converter.convert(file_path, output_file=None)  # 只转换，不保存
        all_dataframes.append(df)
        print(f"  提取到 {len(df)} 条记录")

    if all_dataframes:
        print(f"\n合并 {len(all_dataframes)} 个文件的数据...")
        merged_df = pd.concat(all_dataframes, ignore_index=True)
        merged_df.to_excel(output_path, index=False)
        print(f"合并完成: {output_path}, 总共 {len(merged_df)} 条记录")

        # 删除临时文件
        for file_path in file_paths:
            os.remove(file_path)
            print(f"已删除临时文件: {file_path}")

        return output_path
    return None


def main():
    with sync_playwright() as playwright:
        # 调用登录模块
        browser, context, page, main_frame = login(
            playwright=playwright,
            username="BLDpengqiangqiang",
            password="Cqbld123456.",
            headless=False,
            ignore_https_errors=True
        )

        # 登录成功后可以进行后续操作
        # 点击打开"菜单"
        main_frame.locator("i").first.click()

        # 点击打开"离散备料计划维护"
        with page.expect_popup() as page1_info:
            main_frame.get_by_title("离散备料计划维护", exact=True).first.click()
        page1 = page1_info.value

        # 获取 nested iframe
        main_frame = page1.locator("#forwardFrame").content_frame
        inner_frame_locator = main_frame.locator("#mainiframe")
        inner_frame_locator.wait_for(state="visible", timeout=15000)
        inner_frame = inner_frame_locator.content_frame

        # 点击图标按钮打开查询界面
        inner_frame.locator(".search-name-wrapper > .iconfont").click()
        inner_frame.get_by_text("订单号查询").click()
        inner_frame.get_by_role("tab", name="全部").click()

        # 填充并验证，如果失败则重试
        max_retries = 3
        expected_value = "5000"
        for attempt in range(max_retries):
            inner_frame.locator("#rc_select_0").fill(expected_value)
            inner_frame.locator("#rc_select_0").press("Enter")
            # 检查填充是否成功
            actual_value = inner_frame.locator("#rc_select_0").input_value()
            if actual_value == expected_value:
                print(f"文本框填充成功: {expected_value}")
                break
            else:
                print(f"第 {attempt + 1} 次填充失败，实际值: {actual_value}，重试...")
                if attempt == max_retries - 1:
                    print(f"警告: {max_retries} 次尝试后仍未成功填充，继续执行...")

        # 读取订单号文件
        order_id_file = os.path.join(os.path.dirname(__file__), "orderID.txt")
        order_ids = read_order_ids(order_id_file)
        print(f"共读取到 {len(order_ids)} 个订单号")

        # 确保 data 目录存在
        data_dir = "D:/python/playwrite/data"
        os.makedirs(data_dir, exist_ok=True)

        # 按批次下载
        downloaded_files = []
        for batch_index, order_ids_batch in enumerate(group_order_ids(order_ids, 100)):
            print(f"\n=== 开始处理第 {batch_index + 1} 批，共 {len(order_ids_batch)} 个订单号 ===")
            downloaded_file = download_batch(inner_frame, order_ids_batch, batch_index, page1, debug_mode=False, debug_batch=None)
            downloaded_files.append(downloaded_file)

        # 转换并合并文件
        if downloaded_files:
            print(f"\n=== 开始转换并合并 {len(downloaded_files)} 个文件 ===")
            final_output = "D:/python/playwrite/data/离散备料计划维护_合并.xlsx"
            convert_and_merge_files(downloaded_files, final_output)
        else:
            print("\n没有下载到任何文件")

        print(f"\n=== 全部完成 ===")
        print(f"最终文件: {final_output}")

        input("按回车退出...")

        # 关闭浏览器
        context.close()
        browser.close()


if __name__ == "__main__":
    main()