feat: detect peak segments that stand out from surrounding content
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@@ -2,14 +2,14 @@ export interface CliArgs {
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url?: string;
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output: string;
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format: string;
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segments: number;
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peakThreshold: number;
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}
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export function parseArgs(): CliArgs {
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const args: CliArgs = {
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output: "./downloads",
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format: "best",
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segments: 1,
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peakThreshold: 0.3,
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};
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const rawArgs = Bun.argv;
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@@ -24,11 +24,11 @@ export function parseArgs(): CliArgs {
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} else if (arg === "-f" || arg === "--format") {
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args.format = nextArg || "best";
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i++;
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} else if (arg === "-n" || arg === "--segments") {
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args.segments = parseInt(nextArg || "1", 10);
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} else if (arg === "-t" || arg === "--threshold") {
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args.peakThreshold = parseFloat(nextArg || "0.3");
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i++;
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} else if (arg === "-h" || arg === "--help") {
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console.log(`YouTube Most Watched Segments Downloader
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console.log(`YouTube Peak Segment Downloader
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Usage: yt-segments <url> [options]
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@@ -38,13 +38,14 @@ Arguments:
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Options:
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-o, --output <dir> Output directory (default: ./downloads)
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-f, --format <fmt> Video format (default: best)
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-n, --segments <num> Number of top segments to download (default: 1)
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-t, --threshold <n> Peak detection threshold 0.1-1.0 (default: 0.3)
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Lower = more segments detected as peaks
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-h, --help Show this help message
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Examples:
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yt-segments "https://www.youtube.com/watch?v=abc123"
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yt-segments "https://youtu.be/abc123" -o ./videos -f mp4
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yt-segments "https://www.youtube.com/watch?v=abc123" -n 3
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yt-segments "https://www.youtube.com/watch?v=abc123" -t 0.5
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`);
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process.exit(0);
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} else if (!arg.startsWith("-") && !arg.includes("bun")) {
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@@ -6,6 +6,7 @@ export interface DownloadOptions {
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url: string;
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outputDir: string;
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format: string;
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peakThreshold: number;
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}
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interface RawHeatmapSegment {
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@@ -18,6 +19,13 @@ interface RawHeatmapSegment {
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value?: number;
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}
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interface ProcessedSegment {
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start: number;
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end: number;
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intensity: number;
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peakScore: number;
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}
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interface VideoInfo {
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title: string;
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duration: number;
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@@ -53,17 +61,11 @@ async function getVideoInfo(url: string): Promise<VideoInfo> {
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try {
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const info = JSON.parse(stdout);
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const heatmapData = info.heatmap;
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// Debug: log the actual structure if needed
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if (heatmapData && heatmapData.length > 0) {
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console.log("[Debug] First heatmap entry:", JSON.stringify(heatmapData[0], null, 2));
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}
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resolve({
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title: info.title || "video",
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duration: info.duration || 0,
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heatmap: heatmapData,
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heatmap: info.heatmap,
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});
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} catch (parseError) {
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reject(new Error(`Failed to parse video info: ${parseError}`));
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@@ -141,8 +143,61 @@ function getIntensity(segment: RawHeatmapSegment): number {
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return segment.intensity ?? segment.heat ?? segment.value ?? 0;
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}
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function findPeakSegments(
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segments: RawHeatmapSegment[],
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threshold: number = 0.3
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): ProcessedSegment[] {
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if (segments.length < 3) {
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return [];
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}
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// Convert to processed format
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const processed = segments
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.map(seg => ({
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start: getStartTime(seg),
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end: getEndTime(seg),
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intensity: getIntensity(seg),
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peakScore: 0,
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}))
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.filter(seg =>
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Number.isFinite(seg.start) &&
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Number.isFinite(seg.end) &&
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Number.isFinite(seg.intensity)
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);
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if (processed.length < 3) {
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return [];
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}
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// Calculate peak score for each segment
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// A peak is where intensity is significantly higher than neighbors
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const scored = processed.map((seg, i) => {
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const prevIntensity = i > 0 ? processed[i - 1].intensity : seg.intensity;
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const nextIntensity = i < processed.length - 1 ? processed[i + 1].intensity : seg.intensity;
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// Peak score = how much higher this segment is compared to average of neighbors
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const avgNeighborIntensity = (prevIntensity + nextIntensity) / 2;
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const peakScore = avgNeighborIntensity > 0
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? (seg.intensity - avgNeighborIntensity) / avgNeighborIntensity
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: 0;
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return {
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...seg,
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peakScore,
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};
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});
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// Filter segments that are true peaks (higher than neighbors)
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const peaks = scored.filter(seg => seg.peakScore > threshold);
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// Sort by peak score (highest peaks first)
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peaks.sort((a, b) => b.peakScore - a.peakScore);
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return peaks;
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}
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export async function downloadMostWatchedSegment(options: DownloadOptions): Promise<void> {
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const { url, outputDir, format } = options;
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const { url, outputDir, format, peakThreshold } = options;
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// Create output directory if it doesn't exist
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if (!existsSync(outputDir)) {
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@@ -160,7 +215,6 @@ export async function downloadMostWatchedSegment(options: DownloadOptions): Prom
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// Check for heatmap data
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if (!info.heatmap || info.heatmap.length === 0) {
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console.log("\nNo heatmap data available for this video.");
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console.log("The video may not have enough view data to determine most watched segments.");
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console.log("Downloading full video instead...");
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const outputPath = join(outputDir, `${safeTitle}.%(ext)s`);
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@@ -170,50 +224,49 @@ export async function downloadMostWatchedSegment(options: DownloadOptions): Prom
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console.log(`\nHeatmap data found: ${info.heatmap.length} segments`);
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// Filter out invalid segments and find the most watched
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const validSegments = info.heatmap.filter(seg => {
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const start = getStartTime(seg);
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const end = getEndTime(seg);
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const intensity = getIntensity(seg);
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return Number.isFinite(start) && Number.isFinite(end) && Number.isFinite(intensity);
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});
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// Find peak segments (segments that stand out from their neighbors)
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const peakSegments = findPeakSegments(info.heatmap, peakThreshold);
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if (validSegments.length === 0) {
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console.log("No valid heatmap segments found. Downloading full video...");
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if (peakSegments.length === 0) {
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console.log("No significant peak segments found.");
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console.log("Downloading full video...");
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const outputPath = join(outputDir, `${safeTitle}.%(ext)s`);
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await downloadSegment(url, outputPath, 0, info.duration, format);
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return;
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}
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// Find the most watched segment (highest intensity)
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const mostWatched = validSegments.reduce((max, current) => {
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const currentIntensity = getIntensity(current);
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const maxIntensity = getIntensity(max);
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return currentIntensity > maxIntensity ? current : max;
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});
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// Get the top peak segment
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const topPeak = peakSegments[0];
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const startTime = getStartTime(mostWatched);
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const endTime = getEndTime(mostWatched);
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const intensity = getIntensity(mostWatched);
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console.log(`\nTop peak segment:`);
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console.log(` Time: ${formatTime(topPeak.start)} - ${formatTime(topPeak.end)}`);
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console.log(` Duration: ${formatTime(topPeak.end - topPeak.start)}`);
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console.log(` Peak Score: ${(topPeak.peakScore * 100).toFixed(1)}%`);
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console.log(` Base Intensity: ${(topPeak.intensity * 100).toFixed(1)}%`);
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console.log(`Most watched segment intensity: ${(intensity * 100).toFixed(1)}%`);
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console.log(`Segment: ${formatTime(startTime)} - ${formatTime(endTime)}`);
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// Download the peak segment
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const outputPath = join(outputDir, `${safeTitle}_peak.%(ext)s`);
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// Download the most watched segment
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const outputPath = join(outputDir, `${safeTitle}_most_watched.%(ext)s`);
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console.log(`\nDownloading most watched segment...`);
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await downloadSegment(url, outputPath, startTime, endTime, format);
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console.log(`\nDownloading peak segment...`);
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await downloadSegment(url, outputPath, topPeak.start, topPeak.end, format);
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// Save segment info
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const segmentInfoPath = join(outputDir, `${safeTitle}_segment_info.txt`);
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const segmentInfo = `# ${info.title}\n\n` +
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`Most watched segment (from YouTube heatmap):\n` +
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` Start: ${formatTime(startTime)} (${startTime}s)\n` +
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` End: ${formatTime(endTime)} (${endTime}s)\n` +
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` Duration: ${formatTime(endTime - startTime)}\n` +
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` Intensity: ${(intensity * 100).toFixed(1)}%\n\n` +
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`Note: This segment had the highest re-watch rate according to YouTube's analytics.\n`;
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const segmentInfoPath = join(outputDir, `${safeTitle}_peak_info.txt`);
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let segmentInfo = `# ${info.title}\n\n`;
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segmentInfo += `Peak segment (stands out from surrounding content):\n`;
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segmentInfo += ` Start: ${formatTime(topPeak.start)} (${topPeak.start.toFixed(1)}s)\n`;
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segmentInfo += ` End: ${formatTime(topPeak.end)} (${topPeak.end.toFixed(1)}s)\n`;
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segmentInfo += ` Duration: ${formatTime(topPeak.end - topPeak.start)}\n`;
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segmentInfo += ` Peak Score: ${(topPeak.peakScore * 100).toFixed(1)}%\n`;
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segmentInfo += ` Intensity: ${(topPeak.intensity * 100).toFixed(1)}%\n\n`;
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if (peakSegments.length > 1) {
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segmentInfo += `Other peaks:\n`;
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for (let i = 1; i < Math.min(peakSegments.length, 5); i++) {
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const seg = peakSegments[i];
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segmentInfo += ` ${formatTime(seg.start)} - ${formatTime(seg.end)} (score: ${(seg.peakScore * 100).toFixed(1)}%)\n`;
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}
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}
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writeFileSync(segmentInfoPath, segmentInfo);
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console.log(`\nSegment info saved to: ${segmentInfoPath}`);
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@@ -12,14 +12,15 @@ async function main() {
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console.log("Options:");
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console.log(" -o, --output <dir> Output directory (default: ./downloads)");
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console.log(" -f, --format <fmt> Video format (default: best)");
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console.log(" -n, --segments <num> Number of top segments (default: 1)");
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console.log(" -t, --threshold <n> Peak detection threshold (default: 0.3)");
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console.log(" -h, --help Show help");
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process.exit(1);
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}
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console.log(`Downloading most watched segment from: ${args.url}`);
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console.log(`Downloading peak segment from: ${args.url}`);
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console.log(`Output directory: ${args.output}`);
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console.log(`Format: ${args.format}`);
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console.log(`Peak threshold: ${args.peakThreshold}`);
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console.log("");
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try {
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@@ -27,6 +28,7 @@ async function main() {
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url: args.url,
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outputDir: args.output,
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format: args.format,
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peakThreshold: args.peakThreshold,
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});
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} catch (error) {
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console.error("Error:", error instanceof Error ? error.message : error);
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