import React, { useState, useCallback } from 'react';
import {
  User,
  Upload,
  CheckCircle,
  XCircle,
  Loader2,
  Image as ImageIcon,
  AlertCircle,
  Info
} from 'lucide-react';
import { open } from '@tauri-apps/plugin-dialog';
import { useNotifications } from '../../components/NotificationSystem';
import videoGenerationService from '../../services/videoGenerationService';
import fileUploadService from '../../services/fileUploadService';
import {
  RealmanAvatarPictureCreateRoleOmniResponse,
  RealmanAvatarPictureCreateRoleOmniResultData,
  RealmanAvatarPictureCreateRoleOmniSubmitData
} from '../../types/videoGeneration';

const OmniHumanDetectionTool: React.FC = () => {
  const [selectedImage, setSelectedImage] = useState<string>('');
  const [imagePreview, setImagePreview] = useState<string>('');
  const [isProcessing, setIsProcessing] = useState(false);
  const [uploadProgress, setUploadProgress] = useState(0);
  const [currentTaskId, setCurrentTaskId] = useState<string>('');
  const [result, setResult] = useState<RealmanAvatarPictureCreateRoleOmniResponse | null>(null);
  const [errorMessage, setErrorMessage] = useState<string>('');

  const { addNotification, success, error } = useNotifications();

  // 类型守卫：检查是否为查询结果数据
  const isResultData = (data: any): data is RealmanAvatarPictureCreateRoleOmniResultData => {
    return data && typeof data === 'object' && ('status' in data || 'image_urls' in data || 'resp_data' in data);
  };

  // 类型守卫：检查是否为提交任务数据
  const isSubmitData = (data: any): data is RealmanAvatarPictureCreateRoleOmniSubmitData => {
    return data && typeof data === 'object' && 'task_id' in data;
  };

  // 轮询查询结果
  const pollForResult = useCallback(async (taskId: string): Promise<RealmanAvatarPictureCreateRoleOmniResponse> => {
    const maxAttempts = 30; // 最多轮询30次
    const pollInterval = 2000; // 每2秒轮询一次

    for (let attempt = 1; attempt <= maxAttempts; attempt++) {
      try {
        const result = await videoGenerationService.realmanAvatarPictureCreateRoleOmniGetResult(taskId);

        // 检查任务状态
        if (result.Result.data && isResultData(result.Result.data)) {
          const resultData = result.Result.data;
          if (resultData.status === 'done' || resultData.image_urls?.length) {
            // 任务完成，返回结果
            return result;
          } else if (resultData.status === 'failed') {
            // 任务失败
            throw new Error('任务处理失败');
          }
        }

        // 任务还在处理中，继续轮询
        setUploadProgress(80 + (attempt / maxAttempts) * 15); // 80-95% 的进度用于轮询
        await new Promise(resolve => setTimeout(resolve, pollInterval));

      } catch (err) {
        if (attempt === maxAttempts) {
          throw err;
        }
        // 继续重试
        await new Promise(resolve => setTimeout(resolve, pollInterval));
      }
    }

    throw new Error('任务处理超时，请稍后手动查询结果');
  }, []);

  // 选择图片文件
  const handleSelectImage = useCallback(async () => {
    try {
      const selected = await open({
        multiple: false,
        filters: [
          {
            name: 'Images',
            extensions: ['png', 'jpg', 'jpeg', 'gif', 'bmp', 'webp']
          }
        ]
      });

      if (selected) {
        const imagePath = Array.isArray(selected) ? selected[0] : selected;
        setSelectedImage(imagePath);
        
        // 创建预览URL
        const previewUrl = `file://${imagePath}`;
        setImagePreview(previewUrl);
        
        setResult(null);
        setErrorMessage('');
      }
    } catch (err) {
      console.error('选择图片失败:', err);
      error('选择图片失败');
    }
  }, [addNotification]);

  // 提交主体识别任务
  const handleSubmitDetection = useCallback(async () => {
    if (!selectedImage) {
      addNotification({ type: 'warning', title: '请先选择图片' });
      return;
    }

    setIsProcessing(true);
    setErrorMessage('');
    setResult(null);
    setUploadProgress(0);

    try {
      // 1. 先上传图片到云端
      setUploadProgress(10);
      const uploadResult = await fileUploadService.uploadFileToCloud(
        selectedImage,
        undefined,
        (progress) => {
          setUploadProgress(10 + progress * 0.6); // 上传占 60% 进度
        }
      );

      if (uploadResult.status !== 'success' || !uploadResult.url) {
        throw new Error(uploadResult.error || '图片上传失败');
      }

      setUploadProgress(70);

      // 2. 使用云端 URL 调用识别 API
      const submitResponse = await videoGenerationService.realmanAvatarPictureCreateRoleOmniSubmitTask(uploadResult.url);

      setUploadProgress(80);

      if (submitResponse.Result.code === 10000) {
        const data = submitResponse.Result.data;
        const taskId = data && isSubmitData(data) ? data.task_id : undefined;
        if (taskId) {
          setCurrentTaskId(taskId);
          success('主体识别任务提交成功，正在处理中...');

          // 3. 轮询查询结果
          const finalResult = await pollForResult(taskId);
          setUploadProgress(100);
          setResult(finalResult);
          success('主体识别完成！');
        } else {
          throw new Error('未获取到任务ID');
        }
      } else {
        setErrorMessage(`识别失败: ${submitResponse.Result.message}`);
        error(`识别失败: ${submitResponse.Result.message}`);
      }
    } catch (err) {
      const errMsg = err instanceof Error ? err.message : '未知错误';
      setErrorMessage(errMsg);
      error(`主体识别失败: ${errMsg}`);
    } finally {
      setIsProcessing(false);
    }
  }, [selectedImage, success, error]);

  // 清除结果
  const handleClear = useCallback(() => {
    setSelectedImage('');
    setImagePreview('');
    setResult(null);
    setErrorMessage('');
    setCurrentTaskId('');
    setUploadProgress(0);
  }, []);

  return (
    <div className="p-6 max-w-4xl mx-auto">
      <div className="bg-white rounded-lg shadow-sm border border-gray-200">
        {/* 标题 */}
        <div className="border-b border-gray-200 p-6">
          <div className="flex items-center gap-3">
            <User className="w-6 h-6 text-blue-600" />
            <div>
              <h1 className="text-2xl font-bold text-gray-900">OmniHuman 主体识别</h1>
              <p className="text-gray-600 mt-1">识别图片中是否包含人、类人、拟人等主体</p>
            </div>
          </div>
        </div>

        {/* 功能说明 */}
        <div className="p-6 bg-blue-50 border-b border-gray-200">
          <div className="flex items-start gap-3">
            <Info className="w-5 h-5 text-blue-600 mt-0.5" />
            <div className="text-sm text-blue-800">
              <p className="font-medium mb-2">功能说明：</p>
              <ul className="list-disc list-inside space-y-1">
                <li>支持识别图片中的人物、类人、拟人等主体</li>
                <li>返回识别结果和处理后的图片</li>
                <li>支持多种图片格式：PNG、JPG、JPEG、GIF、BMP、WebP</li>
              </ul>
            </div>
          </div>
        </div>

        {/* 图片选择区域 */}
        <div className="p-6 border-b border-gray-200">
          <h3 className="text-lg font-medium text-gray-900 mb-4">选择图片</h3>
          
          <div className="flex gap-4">
            <button
              onClick={handleSelectImage}
              className="flex items-center gap-2 px-4 py-2 bg-blue-600 text-white rounded-lg hover:bg-blue-700 transition-colors"
            >
              <Upload className="w-4 h-4" />
              选择图片
            </button>

            {selectedImage && (
              <button
                onClick={handleClear}
                className="flex items-center gap-2 px-4 py-2 bg-gray-600 text-white rounded-lg hover:bg-gray-700 transition-colors"
              >
                清除
              </button>
            )}
          </div>

          {/* 图片预览 */}
          {imagePreview && (
            <div className="mt-4">
              <div className="flex items-center gap-2 mb-2">
                <ImageIcon className="w-4 h-4 text-gray-600" />
                <span className="text-sm text-gray-600">图片预览</span>
              </div>
              <div className="border border-gray-200 rounded-lg p-4 bg-gray-50">
                <img
                  src={imagePreview}
                  alt="预览图片"
                  className="max-w-full max-h-64 object-contain mx-auto rounded"
                />
              </div>
            </div>
          )}
        </div>

        {/* 操作按钮 */}
        <div className="p-6 border-b border-gray-200">
          <button
            onClick={handleSubmitDetection}
            disabled={!selectedImage || isProcessing}
            className="flex items-center gap-2 px-6 py-3 bg-green-600 text-white rounded-lg hover:bg-green-700 disabled:bg-gray-400 disabled:cursor-not-allowed transition-colors"
          >
            {isProcessing ? (
              <Loader2 className="w-4 h-4 animate-spin" />
            ) : (
              <User className="w-4 h-4" />
            )}
            {isProcessing ? `处理中... ${uploadProgress}%` : '开始识别'}
          </button>
        </div>

        {/* 结果显示 */}
        <div className="p-6">
          <h3 className="text-lg font-medium text-gray-900 mb-4">识别结果</h3>

          {errorMessage && (
            <div className="mb-4 p-4 bg-red-50 border border-red-200 rounded-lg">
              <div className="flex items-center gap-2">
                <XCircle className="w-5 h-5 text-red-600" />
                <span className="text-red-800 font-medium">识别失败</span>
              </div>
              <p className="text-red-700 mt-2">{errorMessage}</p>
            </div>
          )}

          {result && (
            <div className="space-y-4">
              <div className="p-4 bg-green-50 border border-green-200 rounded-lg">
                <div className="flex items-center gap-2 mb-2">
                  <CheckCircle className="w-5 h-5 text-green-600" />
                  <span className="text-green-800 font-medium">识别成功</span>
                </div>
                <div className="text-sm text-green-700">
                  <p>任务ID: {currentTaskId || (result.Result.data && isSubmitData(result.Result.data) ? result.Result.data.task_id : '未知')}</p>
                  <p>请求ID: {result.Result.request_id}</p>
                  <p>处理时间: {result.Result.time_elapsed}</p>
                </div>
              </div>

              {result.Result.data && isResultData(result.Result.data) && result.Result.data.image_urls && result.Result.data.image_urls.length > 0 && (
                <div>
                  <h4 className="font-medium text-gray-900 mb-2">处理后的图片</h4>
                  <div className="grid grid-cols-1 md:grid-cols-2 gap-4">
                    {result.Result.data.image_urls.map((url: string, index: number) => (
                      <div key={index} className="border border-gray-200 rounded-lg p-4 bg-gray-50">
                        <img
                          src={url}
                          alt={`处理结果 ${index + 1}`}
                          className="max-w-full max-h-64 object-contain mx-auto rounded"
                        />
                        <div className="mt-2 text-center">
                          <a
                            href={url}
                            target="_blank"
                            rel="noopener noreferrer"
                            className="text-blue-600 hover:text-blue-800 text-sm"
                          >
                            查看原图
                          </a>
                        </div>
                      </div>
                    ))}
                  </div>
                </div>
              )}

              {result.Result.data && isResultData(result.Result.data) && result.Result.data.resp_data && (
                <div>
                  <h4 className="font-medium text-gray-900 mb-2">算法返回数据</h4>
                  <div className="p-3 bg-gray-50 border border-gray-200 rounded text-sm font-mono">
                    {result.Result.data.resp_data}
                  </div>
                </div>
              )}
            </div>
          )}

          {!result && !errorMessage && !isProcessing && (
            <div className="text-center py-8 text-gray-500">
              <AlertCircle className="w-12 h-12 mx-auto mb-3 text-gray-400" />
              <p>请选择图片并开始识别</p>
            </div>
          )}
        </div>
      </div>
    </div>
  );
};

export default OmniHumanDetectionTool;