mirror of
https://github.com/R0m1k3/EveFlow.git
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Écoute permanente - Silero VAD dans le worker sherpa-onnx (vad.start/audio/stop) ; le renderer envoie des trames de 128 ms pendant la commande et reçoit le segment WAV complet (speech-start / segment). Repli sur le VAD énergétique si le modèle n'est pas installé ou si l'option est désactivée. - Modèle « silero-vad » (0,6 Mo) dans le catalogue, section « Fin de phrase » dans Modèles locaux, réglage dans Paramètres → Micro. Vision d'écran - IPC system:screen-capture (desktopCapturer, JPEG 1600 px) ; bouton dans la barre de commande ; « regarde mon écran… » joint la capture à la question envoyée à Hermes (transport chat completions pour les images). Actions locales - IPC system:action à liste blanche : verrouiller la session, touches média (volume, mute, lecture, piste), ouvrir une application connue ou une URL http(s), presse-papiers, recherche de fichiers dans les dossiers utilisateur. - Routeur d'intentions FR/EN exécuté avant Hermes (« coupe le son », « ouvre Spotify », « verrouille la session »…), résultat affiché et lu ; désactivable. Correctif - Chat completions : les premiers fragments SSE arrivés avant l'événement de démarrage étaient perdus (premier mot manquant) ; ils sont maintenant rejoués. Tests : 26 tests unitaires (intentions locales ajoutées), e2e Electron sous Xvfb avec les vrais modèles (Silero : un segment par phrase, 6,7 s d'audio traités en 190 ms ; capture 109 ko reçue par Hermes ; intention locale traitée sans Hermes). Claude-Session: https://claude.ai/code/session_017Wn5VX9HNbJ7N54hR24u9Y Co-authored-by: Claude <noreply@anthropic.com>
241 lines
10 KiB
TypeScript
241 lines
10 KiB
TypeScript
/**
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* Host side of the voice worker: spawns the utility process on demand, correlates
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* requests and responses, restarts the worker if it crashes.
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*/
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import { utilityProcess, type UtilityProcess, type WebContents } from 'electron';
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import { createHash } from 'node:crypto';
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import fs from 'node:fs';
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import path from 'node:path';
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import { VOICE_IPC, type KwsDetection, type KwsStartRequest, type SynthesizeRequest, type SynthesizeResult, type TranscribeRequest, type TranscribeResult, type VadEvent, type VadStartRequest, type VoiceEngineStatus } from '../../shared/voice';
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import { buildKeywordsFile, parseTokens } from '../../shared/keywords';
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import { findModel } from './catalog';
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import { isInstalled, modelDir, modelsDir } from './models';
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import { log } from '../logger';
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/** Renderer that receives keyword detections while spotting is active. */
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let kwsSubscriber: WebContents | null = null;
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let kwsActive = false;
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let kwsRequest: KwsStartRequest | null = null;
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let vadSubscriber: WebContents | null = null;
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let vadActive = false;
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interface Pending {
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resolve: (value: unknown) => void;
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reject: (err: Error) => void;
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timer: ReturnType<typeof setTimeout>;
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}
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let child: UtilityProcess | null = null;
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let nextId = 1;
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const pending = new Map<number, Pending>();
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function rejectAll(message: string): void {
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for (const [id, p] of pending) {
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clearTimeout(p.timer);
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p.reject(new Error(message));
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pending.delete(id);
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}
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}
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function spawn(): UtilityProcess {
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if (child) return child;
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const script = path.join(__dirname, 'voice-worker.js');
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const proc = utilityProcess.fork(script, [], { serviceName: 'eveflow-voice', stdio: 'pipe' });
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child = proc;
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proc.stdout?.on('data', (d: Buffer) => log('DEBUG', 'voice-worker', d.toString().trim()));
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proc.stderr?.on('data', (d: Buffer) => log('WARN', 'voice-worker', d.toString().trim()));
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proc.on('message', (msg: { id?: number; type?: string; ok?: boolean; result?: unknown; error?: string; keyword?: string; at?: number; event?: { type: string; wav?: string; durationSec?: number } }) => {
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if (msg.type === 'vad.event' && msg.event) {
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if (vadSubscriber && !vadSubscriber.isDestroyed()) {
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const ev = msg.event;
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const payload: VadEvent =
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ev.type === 'segment' && ev.wav
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? { type: 'segment', wav: new Uint8Array(Buffer.from(ev.wav, 'base64')), durationSec: ev.durationSec ?? 0 }
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: ev.type === 'speech-start'
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? { type: 'speech-start' }
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: { type: 'error', message: 'événement VAD inconnu' };
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vadSubscriber.send(VOICE_IPC.vadEvent, payload);
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}
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return;
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}
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if (msg.type === 'kws.detected') {
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if (kwsSubscriber && !kwsSubscriber.isDestroyed()) {
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kwsSubscriber.send(VOICE_IPC.kwsDetected, { keyword: msg.keyword ?? '', at: msg.at ?? Date.now() } satisfies KwsDetection);
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}
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log('INFO', 'voice', `wake word detected: ${msg.keyword}`);
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return;
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}
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if (typeof msg.id !== 'number') return;
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const p = pending.get(msg.id);
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if (!p) return;
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pending.delete(msg.id);
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clearTimeout(p.timer);
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if (msg.ok) p.resolve(msg.result);
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else p.reject(new Error(msg.error ?? 'erreur moteur vocal'));
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});
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proc.on('exit', (code) => {
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log(code === 0 ? 'INFO' : 'ERROR', 'voice-worker', `exited with code ${code}`);
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// A newer worker may already have replaced this one; only clean up if we are still current.
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if (child !== proc) return;
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child = null;
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rejectAll('Le moteur vocal local s’est arrêté de façon inattendue.');
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// Keyword spotting survives a worker restart: re-arm on the next audio frame.
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if (kwsActive) kwsArmed = false;
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});
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log('INFO', 'voice', 'voice worker started');
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return proc;
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}
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function request<T>(message: Record<string, unknown>, timeoutMs = 120_000): Promise<T> {
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const proc = spawn();
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const id = nextId++;
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return new Promise<T>((resolve, reject) => {
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const timer = setTimeout(() => {
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pending.delete(id);
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reject(new Error('Délai dépassé pour le moteur vocal local.'));
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// The worker handles requests synchronously: a stuck request wedges everything behind it.
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if (child === proc) {
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log('WARN', 'voice', 'worker unresponsive, restarting');
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stopEngine();
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}
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}, timeoutMs);
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pending.set(id, { resolve: (v) => resolve(v as T), reject, timer });
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try {
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proc.postMessage({ id, ...message });
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} catch (err) {
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pending.delete(id);
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clearTimeout(timer);
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reject(err as Error);
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}
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});
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}
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function modelRef(modelId: string) {
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const spec = findModel(modelId);
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if (!spec) throw new Error(`Modèle inconnu : ${modelId}`);
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if (!isInstalled(spec)) throw new Error(`Modèle « ${spec.name} » non installé. Téléchargez-le dans Paramètres → Modèles.`);
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return { id: spec.id, engine: spec.engine, dir: modelDir(spec), files: spec.files };
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}
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export async function engineStatus(): Promise<VoiceEngineStatus> {
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try {
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const status = await request<Omit<VoiceEngineStatus, 'modelsDir'>>({ type: 'status' }, 20_000);
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return { ...status, modelsDir: modelsDir() };
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} catch (err) {
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return { available: false, error: (err as Error).message, loaded: [], modelsDir: modelsDir() };
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}
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}
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export function transcribe(req: TranscribeRequest): Promise<TranscribeResult> {
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// Binary payloads are base64-encoded for the worker: the utility process channel rejects external buffers.
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const wav = Buffer.from(req.wav.buffer, req.wav.byteOffset, req.wav.byteLength).toString('base64');
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return request<TranscribeResult>({ type: 'transcribe', model: modelRef(req.modelId), wav, language: req.language }, 180_000);
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}
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export async function synthesize(req: SynthesizeRequest): Promise<SynthesizeResult> {
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const result = await request<Omit<SynthesizeResult, 'wav'> & { wav: string }>(
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{ type: 'synthesize', model: modelRef(req.modelId), text: req.text, speaker: req.speaker, speed: req.speed },
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180_000
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);
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const buffer = Buffer.from(result.wav, 'base64');
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return { ...result, wav: new Uint8Array(buffer.buffer, buffer.byteOffset, buffer.byteLength) };
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}
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let kwsArmed = false;
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const SENSITIVITY_THRESHOLD: Record<number, number> = { 1: 0.45, 2: 0.35, 3: 0.25, 4: 0.18, 5: 0.12 };
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const SENSITIVITY_SCORE: Record<number, number> = { 1: 1.0, 2: 1.0, 3: 1.2, 4: 1.5, 5: 2.0 };
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/** Start keyword spotting; the keywords file is derived from the phrases and the model vocabulary. */
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export async function kwsStart(req: KwsStartRequest, sender: WebContents): Promise<{ accepted: string[]; rejected: string[] }> {
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const spec = findModel(req.modelId);
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if (!spec || spec.kind !== 'kws') throw new Error('Modèle de détection introuvable');
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if (!isInstalled(spec)) throw new Error('Détecteur de mot-clé non installé (Paramètres → Modèles locaux).');
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const dir = modelDir(spec);
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const vocab = parseTokens(fs.readFileSync(path.join(dir, 'tokens.txt'), 'utf8'));
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const phrases = req.keywords.map((k) => String(k).slice(0, 40)).filter(Boolean).slice(0, 8);
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const file = buildKeywordsFile(phrases, vocab);
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if (file.accepted.length === 0) throw new Error(`Aucun mot d’activation encodable : ${file.rejected.join(', ')}`);
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const hash = createHash('sha1').update(file.content).digest('hex').slice(0, 10);
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const keywordsFile = path.join(modelsDir(), `keywords-${hash}.txt`);
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fs.writeFileSync(keywordsFile, file.content, 'utf8');
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const sensitivity = Math.min(5, Math.max(1, Math.round(req.sensitivity))) as 1 | 2 | 3 | 4 | 5;
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kwsSubscriber = sender;
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kwsRequest = req;
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await request({ type: 'kws.start', model: { id: spec.id, engine: spec.engine, dir, files: spec.files }, keywordsFile, threshold: SENSITIVITY_THRESHOLD[sensitivity], score: SENSITIVITY_SCORE[sensitivity] }, 60_000);
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kwsActive = true;
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kwsArmed = true;
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log('INFO', 'voice', `keyword spotting on: ${file.accepted.join(', ')} (threshold ${SENSITIVITY_THRESHOLD[sensitivity]})`);
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return { accepted: file.accepted, rejected: file.rejected };
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}
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export async function kwsStop(): Promise<void> {
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kwsActive = false;
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kwsArmed = false;
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kwsSubscriber = null;
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if (child) await request({ type: 'kws.stop' }, 10_000).catch(() => undefined);
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}
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/** Feed 16-bit PCM from the renderer (fire-and-forget). */
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export function kwsFeed(pcm: Uint8Array, sampleRate: number): void {
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if (!kwsActive) return;
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const proc = spawn();
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if (!kwsArmed) {
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// Worker restarted: re-create the spotter before feeding audio.
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if (kwsRequest && kwsSubscriber) {
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kwsArmed = true;
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kwsStart(kwsRequest, kwsSubscriber).catch((err) => log('WARN', 'voice', `kws re-arm failed: ${(err as Error).message}`));
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}
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return;
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}
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const b64 = Buffer.from(pcm.buffer, pcm.byteOffset, pcm.byteLength).toString('base64');
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try {
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proc.postMessage({ id: -1, type: 'kws.audio', pcm: b64, sampleRate });
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} catch (err) {
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log('WARN', 'voice', `kws feed failed: ${(err as Error).message}`);
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}
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}
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/** Neural end-of-speech detection (Silero) on frames streamed by the renderer. */
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export async function vadStart(req: VadStartRequest, sender: WebContents): Promise<void> {
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const spec = findModel(req.modelId);
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if (!spec || spec.kind !== 'vad') throw new Error('Modèle VAD introuvable');
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if (!isInstalled(spec)) throw new Error('Silero VAD non installé (Paramètres → Modèles locaux).');
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vadSubscriber = sender;
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await request(
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{ type: 'vad.start', model: { id: spec.id, engine: spec.engine, dir: modelDir(spec), files: spec.files }, silenceMs: req.silenceMs, threshold: req.threshold, maxUtteranceSec: req.maxUtteranceSec },
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30_000
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);
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vadActive = true;
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}
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export async function vadStop(): Promise<void> {
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vadActive = false;
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vadSubscriber = null;
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if (child) await request({ type: 'vad.stop' }, 10_000).catch(() => undefined);
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}
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export function vadFeed(pcm: Uint8Array, sampleRate: number): void {
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if (!vadActive || !child) return;
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const b64 = Buffer.from(pcm.buffer, pcm.byteOffset, pcm.byteLength).toString('base64');
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try {
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child.postMessage({ id: -1, type: 'vad.audio', pcm: b64, sampleRate });
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} catch (err) {
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log('WARN', 'voice', `vad feed failed: ${(err as Error).message}`);
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}
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}
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/** Native model memory is only released deterministically by restarting the worker. */
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export function unload(_modelId?: string): Promise<unknown> {
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stopEngine();
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return Promise.resolve({ ok: true });
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}
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export function stopEngine(): void {
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const proc = child;
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child = null;
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if (proc) {
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rejectAll('Moteur vocal redémarré.');
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proc.kill();
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}
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}
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