/* English-only footprint: does it fit the 768 MB container cap on AWS?

   Loads exactly what an English-only deployment needs and reports RSS after
   each stage, so the answer is measured rather than estimated.
*/
const mb = () => Math.round(process.memoryUsage().rss / 1048576);
const step = (label) => console.log(`  ${label.padEnd(34)} RSS ${String(mb()).padStart(4)} MB`);

step('baseline (node + agent code)');

const { synthesize, transcribe, Endpointer } = await import('../src/speech/index.js');
step('after importing speech module');

// VAD
const ep = new Endpointer();
await ep.push(new Float32Array(16000));
step('+ Silero VAD');

// TTS English
const spoken = await synthesize('There are three thousand four hundred and twenty seven new leads.', 'en');
step('+ MMS-TTS English');

// STT
const resample = (a, from, to) => {
  const r = from / to, out = new Float32Array(Math.floor(a.length / r));
  for (let i = 0; i < out.length; i++) { const p = i * r, k = Math.floor(p); out[i] = a[k] + (a[Math.min(k + 1, a.length - 1)] - a[k]) * (p - k); }
  return out;
};
const audio = resample(spoken.audio, spoken.sampling_rate, 16000);
const heard = await transcribe(audio, 'en', 'en');
step('+ Whisper base (STT)');

// Steady state: a few turns, to see whether it keeps growing.
for (let i = 0; i < 3; i++) {
  await synthesize('Checking the leads now.', 'en');
  await transcribe(audio, 'en', 'en');
}
step('after 3 more turns');

console.log(`\n  transcript: ${JSON.stringify(heard.text)}`);
console.log(`  TTS rate  : ${spoken.sampling_rate} Hz`);

const peak = mb();
const CAP = 768;
console.log(`\n  peak ${peak} MB vs ${CAP} MB container cap → ${peak < CAP * 0.8 ? 'FITS ✅' : peak < CAP ? 'TIGHT ⚠️' : 'EXCEEDS ❌'}`);
process.exit(0);