import * as plugins from './plugins.js';

export interface IImageGenerateOptions {
  apiKey: string;
  prompt: string;
  model?: 'gpt-image-1' | 'dall-e-3' | 'dall-e-2';
  quality?: 'low' | 'medium' | 'high' | 'standard' | 'hd' | 'auto';
  size?: '256x256' | '512x512' | '1024x1024' | '1536x1024' | '1024x1536' | '1792x1024' | '1024x1792' | 'auto';
  style?: 'vivid' | 'natural';
  background?: 'transparent' | 'opaque' | 'auto';
  outputFormat?: 'png' | 'jpeg' | 'webp';
  outputCompression?: number;
  moderation?: 'low' | 'auto';
  n?: number;
  stream?: boolean;
  partialImages?: number;
}

export interface IImageEditOptions {
  apiKey: string;
  image: Buffer;
  prompt: string;
  mask?: Buffer;
  model?: 'gpt-image-1' | 'dall-e-2';
  quality?: 'low' | 'medium' | 'high' | 'standard' | 'auto';
  size?: '256x256' | '512x512' | '1024x1024' | '1536x1024' | '1024x1536' | 'auto';
  background?: 'transparent' | 'opaque' | 'auto';
  outputFormat?: 'png' | 'jpeg' | 'webp';
  outputCompression?: number;
  n?: number;
  stream?: boolean;
  partialImages?: number;
}

export interface IImageResponse {
  images: Array<{
    b64_json?: string;
    url?: string;
    revisedPrompt?: string;
  }>;
  metadata?: {
    model: string;
    quality?: string;
    size?: string;
    outputFormat?: string;
    tokensUsed?: number;
  };
}

export async function generateImage(options: IImageGenerateOptions): Promise<IImageResponse> {
  const client = new plugins.OpenAI({ apiKey: options.apiKey });
  const model = options.model || 'gpt-image-1';

  const requestParams: Record<string, unknown> = {
    model,
    prompt: options.prompt,
    n: options.n || 1,
  };

  if (model === 'gpt-image-1') {
    if (options.quality) requestParams.quality = options.quality;
    if (options.size) requestParams.size = options.size;
    if (options.background) requestParams.background = options.background;
    if (options.outputFormat) requestParams.output_format = options.outputFormat;
    if (options.outputCompression !== undefined) requestParams.output_compression = options.outputCompression;
    if (options.moderation) requestParams.moderation = options.moderation;
    if (options.stream !== undefined) requestParams.stream = options.stream;
    if (options.partialImages !== undefined) requestParams.partial_images = options.partialImages;
  } else if (model === 'dall-e-3') {
    if (options.quality) requestParams.quality = options.quality;
    if (options.size) requestParams.size = options.size;
    if (options.style) requestParams.style = options.style;
    requestParams.response_format = 'b64_json';
  } else if (model === 'dall-e-2') {
    if (options.size) requestParams.size = options.size;
    requestParams.response_format = 'b64_json';
  }

  const result: any = await client.images.generate(requestParams as any);

  const images = (result.data || []).map((img: any) => ({
    b64_json: img.b64_json,
    url: img.url,
    revisedPrompt: img.revised_prompt,
  }));

  return {
    images,
    metadata: {
      model,
      quality: result.quality,
      size: result.size,
      outputFormat: result.output_format,
      tokensUsed: result.usage?.total_tokens,
    },
  };
}

export async function editImage(options: IImageEditOptions): Promise<IImageResponse> {
  const client = new plugins.OpenAI({ apiKey: options.apiKey });
  const model = options.model || 'gpt-image-1';

  const imageFile = await plugins.toFile(options.image, 'image.png', { type: 'image/png' });

  const requestParams: Record<string, unknown> = {
    model,
    image: imageFile,
    prompt: options.prompt,
    n: options.n || 1,
  };

  if (options.mask) {
    requestParams.mask = await plugins.toFile(options.mask, 'mask.png', { type: 'image/png' });
  }

  if (model === 'gpt-image-1') {
    if (options.quality) requestParams.quality = options.quality;
    if (options.size) requestParams.size = options.size;
    if (options.background) requestParams.background = options.background;
    if (options.outputFormat) requestParams.output_format = options.outputFormat;
    if (options.outputCompression !== undefined) requestParams.output_compression = options.outputCompression;
    if (options.stream !== undefined) requestParams.stream = options.stream;
    if (options.partialImages !== undefined) requestParams.partial_images = options.partialImages;
  } else if (model === 'dall-e-2') {
    if (options.size) requestParams.size = options.size;
    requestParams.response_format = 'b64_json';
  }

  const result: any = await client.images.edit(requestParams as any);

  const images = (result.data || []).map((img: any) => ({
    b64_json: img.b64_json,
    url: img.url,
    revisedPrompt: img.revised_prompt,
  }));

  return {
    images,
    metadata: {
      model,
      quality: result.quality,
      size: result.size,
      outputFormat: result.output_format,
      tokensUsed: result.usage?.total_tokens,
    },
  };
}