ytdlp-segment-downloader/src/cli/downloader.ts

import { spawn } from "child_process";
import { writeFileSync, mkdirSync, existsSync } from "fs";
import { join } from "path";

export interface DownloadOptions {
  url: string;
  outputDir: string;
  format: string;
  topN: number;
  intensityThreshold: number;
}

interface RawHeatmapSegment {
  start_seconds?: number;
  start_time?: number;
  end_seconds?: number;
  end_time?: number;
  intensity?: number;
  heat?: number;
  value?: number;
}

interface ProcessedSegment {
  start: number;
  end: number;
  intensity: number;
  totalIntensity: number;
  segmentCount: number;
}

interface VideoInfo {
  title: string;
  duration: number;
  heatmap?: RawHeatmapSegment[];
}

async function getVideoInfo(url: string): Promise<VideoInfo> {
  return new Promise((resolve, reject) => {
    const ytDlp = spawn("yt-dlp", [
      "--dump-json",
      "--no-download",
      "--compat-option",
      "no-youtube-channel-redirect",
      url,
    ]);

    let stdout = "";
    let stderr = "";

    ytDlp.stdout.on("data", (data) => {
      stdout += data.toString();
    });

    ytDlp.stderr.on("data", (data) => {
      stderr += data.toString();
    });

    ytDlp.on("close", (code) => {
      if (code !== 0) {
        reject(new Error(`yt-dlp failed: ${stderr}`));
        return;
      }

      try {
        const info = JSON.parse(stdout);

        resolve({
          title: info.title || "video",
          duration: info.duration || 0,
          heatmap: info.heatmap,
        });
      } catch (parseError) {
        reject(new Error(`Failed to parse video info: ${parseError}`));
      }
    });

    ytDlp.on("error", (err) => {
      reject(new Error(`Failed to run yt-dlp: ${err.message}`));
    });
  });
}

async function downloadSegment(
  url: string,
  outputPath: string,
  startTime: number,
  endTime: number,
  format: string
): Promise<void> {
  const section = `*${startTime.toFixed(3)}-${endTime.toFixed(3)}`;

  return new Promise((resolve, reject) => {
    const ytDlp = spawn("yt-dlp", [
      "-f", format,
      "--download-sections", section,
      "-o", outputPath,
      url,
    ]);

    let stderr = "";

    ytDlp.stderr.on("data", (data) => {
      stderr += data.toString();
    });

    ytDlp.on("close", (code) => {
      if (code !== 0) {
        reject(new Error(`yt-dlp failed: ${stderr}`));
        return;
      }
      resolve();
    });

    ytDlp.on("error", (err) => {
      reject(new Error(`Failed to run yt-dlp: ${err.message}`));
    });
  });
}

function sanitizeFilename(filename: string): string {
  return filename
    .replace(/[^a-zA-Z0-9\s\-_]/g, "")
    .replace(/\s+/g, "_")
    .substring(0, 100);
}

function formatTime(seconds: number): string {
  if (!Number.isFinite(seconds) || seconds < 0) {
    return "0:00";
  }
  const mins = Math.floor(seconds / 60);
  const secs = Math.floor(seconds % 60);
  return `${mins}:${secs.toString().padStart(2, "0")}`;
}

function getStartTime(segment: RawHeatmapSegment): number {
  return segment.start_seconds ?? segment.start_time ?? 0;
}

function getEndTime(segment: RawHeatmapSegment): number {
  return segment.end_seconds ?? segment.end_time ?? 0;
}

function getIntensity(segment: RawHeatmapSegment): number {
  return segment.intensity ?? segment.heat ?? segment.value ?? 0;
}

interface RawSegment {
  start: number;
  end: number;
  intensity: number;
}

function clusterHighIntensitySegments(
  segments: RawSegment[],
  threshold: number
): ProcessedSegment[] {
  // Filter to only high-intensity segments
  const highIntensity = segments.filter(seg => seg.intensity >= threshold);

  if (highIntensity.length === 0) {
    return [];
  }

  // Sort by start time
  highIntensity.sort((a, b) => a.start - b.start);

  // Cluster adjacent/overlapping segments
  const clusters: ProcessedSegment[] = [];
  let currentCluster: RawSegment | null = null;

  for (const seg of highIntensity) {
    if (!currentCluster) {
      currentCluster = seg;
      continue;
    }

    // Check if this segment is adjacent or overlapping with current cluster
    // Adjacent means: seg.start is within a small gap of currentCluster.end
    const gap = seg.start - currentCluster.end;
    const maxGap = 10; // Allow up to 10 second gap

    if (gap <= maxGap && gap >= -1) { // -1 allows for small overlaps
      // Merge into current cluster
      currentCluster.end = Math.max(currentCluster.end, seg.end);
    } else {
      // Finalize current cluster and start new one
      const totalIntensity = highIntensity
        .filter(s => s.start >= currentCluster!.start && s.end <= currentCluster!.end)
        .reduce((sum, s) => sum + s.intensity, 0);
      
      clusters.push({
        start: currentCluster.start,
        end: currentCluster.end,
        intensity: currentCluster.intensity,
        totalIntensity,
        segmentCount: highIntensity.filter(s => 
          s.start >= currentCluster!.start && s.end <= currentCluster!.end
        ).length,
      });

      currentCluster = seg;
    }
  }

  // Don't forget the last cluster
  if (currentCluster) {
    const totalIntensity = highIntensity
      .filter(s => s.start >= currentCluster.start && s.end <= currentCluster.end)
      .reduce((sum, s) => sum + s.intensity, 0);

    clusters.push({
      start: currentCluster.start,
      end: currentCluster.end,
      intensity: currentCluster.intensity,
      totalIntensity,
      segmentCount: highIntensity.filter(s => 
        s.start >= currentCluster.start && s.end <= currentCluster.end
      ).length,
    });
  }

  // Sort clusters by total intensity (highest first)
  clusters.sort((a, b) => b.totalIntensity - a.totalIntensity);

  return clusters;
}

function getTopSegments(
  segments: RawHeatmapSegment[],
  topN: number,
  threshold: number
): ProcessedSegment[] {
  // Convert to processed format and filter valid segments
  const validSegments = segments
    .map(seg => ({
      start: getStartTime(seg),
      end: getEndTime(seg),
      intensity: getIntensity(seg),
    }))
    .filter(seg => 
      Number.isFinite(seg.start) && 
      Number.isFinite(seg.end) && 
      Number.isFinite(seg.intensity) &&
      seg.start >= 0 &&
      seg.end > seg.start
    );

  if (validSegments.length === 0) {
    return [];
  }

  // Cluster high-intensity segments
  const clusters = clusterHighIntensitySegments(validSegments, threshold);

  return clusters.slice(0, topN);
}

export async function downloadMostWatchedSegment(options: DownloadOptions): Promise<void> {
  const { url, outputDir, format, topN, intensityThreshold } = options;

  // Create output directory if it doesn't exist
  if (!existsSync(outputDir)) {
    mkdirSync(outputDir, { recursive: true });
  }

  // Get video info with heatmap data from YouTube
  console.log("Fetching video information from YouTube...");
  const info = await getVideoInfo(url);
  const safeTitle = sanitizeFilename(info.title);

  console.log(`Video: ${info.title}`);
  console.log(`Duration: ${formatTime(info.duration)}`);

  // Check for heatmap data
  if (!info.heatmap || info.heatmap.length === 0) {
    console.log("\nNo heatmap data available for this video.");
    console.log("Downloading full video instead...");
    
    const outputPath = join(outputDir, `${safeTitle}.%(ext)s`);
    await downloadSegment(url, outputPath, 0, info.duration, format);
    return;
  }

  console.log(`\nHeatmap data found: ${info.heatmap.length} segments`);
  console.log(`Intensity threshold: ${(intensityThreshold * 100).toFixed(0)}%`);
  console.log(`\nTop ${topN} high-intensity regions (clustered segments):\n`);

  // Get top clustered segments
  const topSegments = getTopSegments(info.heatmap, topN, intensityThreshold);

  if (topSegments.length === 0) {
    console.log("No high-intensity regions found. Downloading full video...");
    const outputPath = join(outputDir, `${safeTitle}.%(ext)s`);
    await downloadSegment(url, outputPath, 0, info.duration, format);
    return;
  }

  // Output the top segments
  for (let i = 0; i < topSegments.length; i++) {
    const seg = topSegments[i];
    const duration = seg.end - seg.start;
    console.log(`${i + 1}. ${formatTime(seg.start)} - ${formatTime(seg.end)} | Duration: ${formatTime(duration)} | Total Intensity: ${seg.totalIntensity.toFixed(2)}`);
  }

  console.log("");

  // Download the top segment
  const topSegment = topSegments[0];
  const outputPath = join(outputDir, `${safeTitle}_most_watched.%(ext)s`);

  console.log(`Downloading segment: ${formatTime(topSegment.start)} - ${formatTime(topSegment.end)}`);
  await downloadSegment(url, outputPath, topSegment.start, topSegment.end, format);

  // Save segment info
  const segmentInfoPath = join(outputDir, `${safeTitle}_top_segments.txt`);
  let segmentInfo = `# ${info.title}\n\n`;
  segmentInfo += `Top ${topN} high-intensity regions (intensity >= ${(intensityThreshold * 100).toFixed(0)}%):\n\n`;

  for (let i = 0; i < topSegments.length; i++) {
    const seg = topSegments[i];
    const duration = seg.end - seg.start;
    segmentInfo += `${i + 1}. ${formatTime(seg.start)} - ${formatTime(seg.end)}\n`;
    segmentInfo += `   Duration: ${formatTime(duration)}\n`;
    segmentInfo += `   Total Intensity: ${seg.totalIntensity.toFixed(2)}\n`;
    segmentInfo += `   Segments: ${seg.segmentCount}\n\n`;
  }

  writeFileSync(segmentInfoPath, segmentInfo);
  console.log(`\nSegment info saved to: ${segmentInfoPath}`);
  console.log("Download complete!");
}