import { browserImageCodec } from './browser-image-codec';

export const AGENT_AVATAR_MAX_DIMENSION = 256;
export const AGENT_AVATAR_MAX_SOURCE_BYTES = 32 * 1024 * 1024;
export const AGENT_AVATAR_WEBP_QUALITY = 0.8;
export const AGENT_AVATAR_SUPPORTED_MIME_TYPES = [
  'image/png',
  'image/jpeg',
  'image/webp',
] as const;

export type AgentAvatarMimeType = typeof AGENT_AVATAR_SUPPORTED_MIME_TYPES[number];

export type PreparedAgentAvatar = {
  fileName: string;
  mimeType: AgentAvatarMimeType;
  previewUrl: string;
  width: number;
  height: number;
  bytes: number;
};

function isSupportedMimeType(value: string): value is AgentAvatarMimeType {
  return (AGENT_AVATAR_SUPPORTED_MIME_TYPES as readonly string[]).includes(value);
}

function fileExtension(mimeType: AgentAvatarMimeType): string {
  if (mimeType === 'image/jpeg') return 'jpg';
  if (mimeType === 'image/png') return 'png';
  return 'webp';
}

function bytesToBase64(bytes: Uint8Array): string {
  let result = '';
  const chunkSize = 0x8000;
  for (let offset = 0; offset < bytes.length; offset += chunkSize) {
    result += String.fromCharCode(...bytes.subarray(offset, offset + chunkSize));
  }
  return btoa(result);
}

async function blobToDataUrl(blob: Blob, mimeType: AgentAvatarMimeType): Promise<string> {
  const dataBase64 = bytesToBase64(new Uint8Array(await blob.arrayBuffer()));
  return `data:${mimeType};base64,${dataBase64}`;
}

function encodeCanvas(
  canvas: HTMLCanvasElement,
  mimeType: AgentAvatarMimeType,
  quality?: number,
): Promise<Blob | null> {
  return new Promise((resolve, reject) => {
    try {
      canvas.toBlob(resolve, mimeType, quality);
    } catch (error) {
      reject(error);
    }
  });
}

async function encodeAvatarCanvas(canvas: HTMLCanvasElement): Promise<{
  blob: Blob;
  mimeType: AgentAvatarMimeType;
}> {
  const webp = await encodeCanvas(canvas, 'image/webp', AGENT_AVATAR_WEBP_QUALITY);
  if (webp?.type.trim().toLowerCase() === 'image/webp') {
    return { blob: webp, mimeType: 'image/webp' };
  }

  const png = await encodeCanvas(canvas, 'image/png');
  if (png) return { blob: png, mimeType: 'image/png' };

  throw new Error('头像图片编码失败');
}

export async function prepareAgentAvatar(file: File): Promise<PreparedAgentAvatar> {
  const mimeType = file.type.trim().toLowerCase();
  if (!isSupportedMimeType(mimeType)) {
    throw new Error('智能体头像仅支持 PNG、JPEG 或 WebP 图片');
  }
  if (file.size > AGENT_AVATAR_MAX_SOURCE_BYTES) {
    throw new Error('智能体头像图片不能超过 32 MB');
  }

  const frameCount = await browserImageCodec.inspectFrameCount(file, mimeType);
  if (frameCount !== 1) {
    throw new Error(frameCount && frameCount > 1 ? '智能体头像不支持动态图片' : '无法确认智能体头像为静态图片');
  }

  const decoded = await browserImageCodec.decode(file, {
    imageOrientation: 'from-image',
  });
  const canvas = document.createElement('canvas');
  const side = Math.min(decoded.width, decoded.height);
  const targetSize = Math.max(1, Math.min(AGENT_AVATAR_MAX_DIMENSION, Math.floor(side)));
  const sourceX = Math.max(0, (decoded.width - side) / 2);
  const sourceY = Math.max(0, (decoded.height - side) / 2);
  canvas.width = targetSize;
  canvas.height = targetSize;

  try {
    const context = canvas.getContext('2d');
    if (!context) throw new Error('智能体头像图片处理失败');
    context.imageSmoothingEnabled = true;
    context.imageSmoothingQuality = 'high';
    context.clearRect(0, 0, targetSize, targetSize);
    context.drawImage(
      decoded.source,
      sourceX,
      sourceY,
      side,
      side,
      0,
      0,
      targetSize,
      targetSize,
    );

    const encoded = await encodeAvatarCanvas(canvas);
    return {
      fileName: `avatar.${fileExtension(encoded.mimeType)}`,
      mimeType: encoded.mimeType,
      previewUrl: await blobToDataUrl(encoded.blob, encoded.mimeType),
      width: targetSize,
      height: targetSize,
      bytes: encoded.blob.size,
    };
  } finally {
    decoded.dispose();
    canvas.width = 1;
    canvas.height = 1;
  }
}