import Frami from 'frami';

const frami = new Frami({
  openaiApiKey: 'your-openai-api-key'
});

const result = await frami.recommendThumbnails('./video.mp4', {
  maxFrames: 10,
  topN: 3
});

console.log('Best thumbnail candidates:', result.bestFrames);

interface FramiOptions {
  openaiApiKey?: string;        // OpenAI API key
  openaiModel?: string;         // Model name (default: 'gpt-4o')
  maxFrames?: number;           // Max frames to analyze (default: 10)
  topN?: number;               // Number of recommendations (default: 3)
  extractionOptions?: ExtractionOptions;
  analysisOptions?: AnalysisOptions;
}

interface ThumbnailRecommendation {
  bestFrames: ThumbnailCandidate[];
  videoMetadata: VideoMetadata;
  processingTime: number;
  model: string;
}

interface ThumbnailCandidate {
  frame: VideoFrame;
  score: number;           // 0-1 quality score
  confidence: number;      // 0-1 confidence level
  analysis: FrameAnalysis;
}

import { Frami, FFmpegFrameExtractor } from 'frami';

const frami = new Frami({ openaiApiKey: 'your-key' });

const result = await frami.recommendThumbnails('./video.mp4', {
  extractionOptions: {
    maxFrames: 15,
    intervalSeconds: 30,    // Extract every 30 seconds
    startTime: 60,          // Start at 1 minute
    endTime: 300,           // End at 5 minutes
    quality: 'high'
  }
});

const result = await frami.recommendThumbnails('./video.mp4', {
  analysisOptions: {
    includeObjectDetection: true,
    includeFaceDetection: true,
    includeTextDetection: true,
    includeDescription: true,
    customPrompt: 'Focus on frames with people and bright colors'
  }
});

import { 
  ThumbnailRecommender, 
  OpenAIVisionProvider,
  FFmpegFrameExtractor,
  DefaultThumbnailSelector 
} from 'frami';

// Create custom components
const visionProvider = new OpenAIVisionProvider();
visionProvider.configure({ apiKey: 'your-key' });

const recommender = new ThumbnailRecommender(
  visionProvider,
  new FFmpegFrameExtractor(),
  new DefaultThumbnailSelector()
);

const result = await recommender.recommendThumbnails('./video.mp4');

try {
  const result = await frami.recommendThumbnails('./video.mp4');
} catch (error) {
  if (error.message.includes('No frames extracted')) {
    console.log('Video may be corrupted or unsupported format');
  } else if (error.message.includes('OpenAI')) {
    console.log('API key issue or rate limit exceeded');
  }
}