#!/usr/bin/env bun

/**
 * Quick test script to verify the library works
 * 
 * Usage:
 *   bun run test.ts <input-video> [output-dir]
 * 
 * Example:
 *   bun run test.ts ./video.mp4 ./output
 */

import { convertToDash, checkFFmpeg, checkNvenc, checkMP4Box } from './src/index';
import cliProgress from 'cli-progress';

const input = process.argv[2];
const outputDir = process.argv[3] || './output';

if (!input) {
  console.error('❌ Usage: bun run test.ts <input-video> [output-dir]');
  process.exit(1);
}

console.log('🔍 Checking system...\n');

const hasFFmpeg = await checkFFmpeg();
const hasNvenc = await checkNvenc();
const hasMP4Box = await checkMP4Box();

console.log(`FFmpeg: ${hasFFmpeg ? '✅' : '❌'}`);
console.log(`NVENC: ${hasNvenc ? '✅ (GPU acceleration)' : '⚠️  (CPU only)'}`);
console.log(`MP4Box: ${hasMP4Box ? '✅' : '❌'}\n`);

if (!hasFFmpeg) {
  console.error('❌ FFmpeg not found. Please install FFmpeg first.');
  process.exit(1);
}

if (!hasMP4Box) {
  console.error('❌ MP4Box not found. Please install: sudo pacman -S gpac');
  process.exit(1);
}

console.log(`📹 Input: ${input}`);
console.log(`📁 Output: ${outputDir}\n`);
console.log('🚀 Starting conversion...\n');

// Create multibar container
const multibar = new cliProgress.MultiBar({
  format: '{stage} | {bar} | {percentage}% | {name}',
  barCompleteChar: '█',
  barIncompleteChar: '░',
  hideCursor: true,
  clearOnComplete: false,
  stopOnComplete: true
}, cliProgress.Presets.shades_classic);

// Track progress bars for each profile
const bars: Record<string, any> = {};
let overallBar: any = null;

try {
  const result = await convertToDash({
    input,
    outputDir,
    segmentDuration: 2,
    useNvenc: hasNvenc,
    generateThumbnails: true,
    parallel: true,
    onProgress: (progress) => {
      const stageName = progress.stage === 'encoding' ? 'Encoding' :
                        progress.stage === 'thumbnails' ? 'Thumbnails' :
                        progress.stage === 'manifest' ? 'Manifest' :
                        progress.stage === 'analyzing' ? 'Analyzing' : 'Complete';
      
      // Stage 1: Encoding - show individual profile bars
      if (progress.stage === 'encoding' && progress.currentProfile) {
        if (!bars[progress.currentProfile]) {
          bars[progress.currentProfile] = multibar.create(100, 0, {
            stage: 'Encode',
            name: progress.currentProfile
          });
        }
        // Use profilePercent (0-100) for individual bars, not overall percent
        const profileProgress = progress.profilePercent ?? progress.percent;
        bars[progress.currentProfile].update(profileProgress, {
          stage: 'Encode',
          name: progress.currentProfile
        });
      }
      
      // Overall progress bar
      if (!overallBar) {
        overallBar = multibar.create(100, 0, {
          stage: stageName,
          name: 'Overall'
        });
      }
      
      overallBar.update(progress.percent, {
        stage: stageName,
        name: progress.message || 'Overall'
      });
    }
  });

  multibar.stop();

  console.log('\n✅ Conversion completed successfully!\n');
  console.log('📊 Results:');
  console.log(`   Manifest: ${result.manifestPath}`);
  console.log(`   Duration: ${result.duration.toFixed(2)}s`);
  console.log(`   Profiles: ${result.profiles.map(p => p.name).join(', ')}`);
  console.log(`   Encoder: ${result.usedNvenc ? '⚡ NVENC (GPU)' : '🔧 libx264 (CPU)'}`);
  
  if (result.thumbnailSpritePath) {
    console.log(`   Thumbnails: ${result.thumbnailSpritePath}`);
    console.log(`   VTT file: ${result.thumbnailVttPath}`);
  }
  
  console.log('\n🎉 Done! You can now use the manifest file in your video player.');

} catch (error) {
  multibar.stop();
  console.error('\n\n❌ Error during conversion:');
  console.error(error);
  process.exit(1);
}