feat: certificates, landing pages, ai tutor, website update, compliance

apps/jobs/src/services/transcription/vtt.ts

@@ -0,0 +1,41 @@
+import type { TranscriptionSegment } from './openai';
+
+function formatVttTime(seconds: number): string {
+  if (!Number.isFinite(seconds) || seconds < 0) {
+    seconds = 0;
+  }
+
+  const totalMs = Math.round(seconds * 1000);
+  const hours = Math.floor(totalMs / 3_600_000);
+  const minutes = Math.floor((totalMs % 3_600_000) / 60_000);
+  const secs = Math.floor((totalMs % 60_000) / 1000);
+  const ms = totalMs % 1000;
+
+  const pad = (n: number, width: number) => n.toString().padStart(width, '0');
+
+  return `${pad(hours, 2)}:${pad(minutes, 2)}:${pad(secs, 2)}.${pad(ms, 3)}`;
+}
+
+/**
+ * Build a minimal WEBVTT caption file from Whisper segment timestamps.
+ */
+export function segmentsToWebVtt(segments: TranscriptionSegment[]): string {
+  const lines = ['WEBVTT', ''];
+
+  let cueIndex = 1;
+  for (const segment of segments) {
+    const text = segment.text.trim();
+    if (!text) continue;
+
+    const start = formatVttTime(segment.start);
+    const end = formatVttTime(Math.max(segment.end, segment.start + 0.001));
+
+    lines.push(String(cueIndex));
+    lines.push(`${start} --> ${end}`);
+    lines.push(text);
+    lines.push('');
+    cueIndex++;
+  }
+
+  return lines.join('\n');
+}