import { fetchFile } from '@ffmpeg/util'
import { useFFmpeg, fileToUint8Array } from './useFFmpeg'

/**
 * 获取图片的宽高信息
 */
const getImageDimensions = async (
  imageData: Uint8Array
): Promise<{ width: number; height: number }> => {
  return new Promise((resolve, reject) => {
    const blob = new Blob([imageData], { type: 'image/png' })
    const url = URL.createObjectURL(blob)
    const img = new Image()

    img.onload = () => {
      URL.revokeObjectURL(url)
      resolve({ width: img.width, height: img.height })
    }

    img.onerror = () => {
      URL.revokeObjectURL(url)
      reject(new Error('Failed to load image'))
    }

    img.src = url
  })
}

/**
 * 计算等比缩放到720P的尺寸
 * 720P 指高度为720，宽度按原宽高比计算
 */
const calculateScaledDimensions = (
  width: number,
  height: number
): { width: number; height: number } => {
  const targetHeight = 720

  // 如果原始高度小于等于720，保持原始尺寸
  if (height <= targetHeight) {
    return { width, height }
  }

  // 计算缩放比例
  const scale = targetHeight / height
  const scaledWidth = Math.round(width * scale)

  // 确保宽度为偶数（视频编码要求）
  const finalWidth = scaledWidth % 2 === 0 ? scaledWidth : scaledWidth - 1

  return { width: finalWidth, height: targetHeight }
}

export type CompositingPhase = 
  | 'loading'
  | 'analyzing'
  | 'preparing'
  | 'executing'
  | 'finalizing'

export type CompositingProgressCallback = (info: {
  progress: number
  phase: CompositingPhase
}) => void

/**
 * 使用 FFmpeg WASM 将透明通道的视频与背景图片进行合成
 * @param videoUrl - WebM 视频 URL（带透明通道的数字人视频）
 * @param backgroundImage - 背景图片（File 对象或 URL 字符串）
 * @param options - 额外选项
 * @returns 合成后的视频 Blob
 */
export const useVideoBackgroundCompositing = async (
  videoUrl: string,
  backgroundImage: File | string,
  options?: {
    onProgress?: CompositingProgressCallback
  }
) => {
  const ffmpeg = await useFFmpeg()
  const progressCallback = options?.onProgress

  const videoFileName = 'input_video.webm'
  const backgroundFileName = 'background.png'
  const outputFileName = 'output.mp4'

  try {
    progressCallback?.({ progress: 10, phase: 'loading' })
    const videoData = await fetchFile(videoUrl)
    const backgroundData = await fetchFile(backgroundImage)

    progressCallback?.({ progress: 15, phase: 'analyzing' })
    const { width: bgWidth, height: bgHeight } = await getImageDimensions(
      backgroundData
    )
    console.log(
      `[Compositing] Background image dimensions: ${bgWidth}x${bgHeight}`
    )

    const { width: outputWidth, height: outputHeight } =
      calculateScaledDimensions(bgWidth, bgHeight)
    console.log(
      `[Compositing] Output dimensions: ${outputWidth}x${outputHeight}`
    )

    progressCallback?.({ progress: 20, phase: 'preparing' })

    await ffmpeg.writeFile(videoFileName, videoData)
    await ffmpeg.writeFile(backgroundFileName, backgroundData)

    progressCallback?.({ progress: 25, phase: 'preparing' })

    // HACK: 不明原因导致首次执行合成时会报 memory access out of bounds 错误，先执行一次空命令能够规避
    await ffmpeg.exec(['-i', 'not-found'])

    // 设置 progress 事件监听，映射 FFmpeg 进度到 30-95% 范围
    const executingProgressHandler = ({ progress }: { progress: number }) => {
      // progress 范围是 0-1，映射到 30-95
      const mappedProgress = Math.round(30 + progress * 65)
      progressCallback?.({ progress: mappedProgress, phase: 'executing' })
    }
    ffmpeg.on('progress', executingProgressHandler)

    progressCallback?.({ progress: 30, phase: 'executing' })

    // prettier-ignore
    const exitCode = await ffmpeg.exec([
      '-i', backgroundFileName,
      '-c:v', 'libvpx-vp9',
      '-i', videoFileName,
      '-filter_complex', 'overlay=(W-w)/2:H-h',
      '-c:v', 'libx264',
      outputFileName
    ])

    ffmpeg.off('progress', executingProgressHandler)

    if (exitCode !== 0) {
      throw new Error(`FFmpeg command failed with exit code ${exitCode}`)
    }

    progressCallback?.({ progress: 95, phase: 'finalizing' })

    const outputData = await ffmpeg.readFile(outputFileName)
    let outputArray: Uint8Array
    if (outputData instanceof Uint8Array) {
      outputArray = outputData
    } else if (typeof outputData === 'string') {
      outputArray = new TextEncoder().encode(outputData)
    } else {
      outputArray = new Uint8Array(outputData as ArrayBufferLike)
    }
    const outputBlob = new Blob([outputArray], { type: 'video/mp4' })

    progressCallback?.({ progress: 100, phase: 'finalizing' })

    return outputBlob
  } catch (error) {
    console.error('Video compositing failed:', error)
    throw error
  } finally {
    await ffmpeg.deleteFile(videoFileName)
    await ffmpeg.deleteFile(backgroundFileName)
    await ffmpeg.deleteFile(outputFileName)
  }
}