fix: downsample audio to 16kHz to prevent ASR 500 error, add permission check handler, and render errors in compact view (v1.0.8)

README.md

@@ -1,7 +1,7 @@
 # 🚀 EveFlow — Compagnon de Bureau Rétro-Futuriste 3D
 
 [![Windows Version](https://img.shields.io/badge/OS-Windows-blue.svg?style=flat-square&logo=windows)](https://github.com/R0m1k3/EveFlow)
-[![Version](https://img.shields.io/badge/version-1.0.7-brightgreen.svg?style=flat-square)](https://github.com/R0m1k3/EveFlow/releases/tag/v1.0.7)
+[![Version](https://img.shields.io/badge/version-1.0.8-brightgreen.svg?style=flat-square)](https://github.com/R0m1k3/EveFlow/releases/tag/v1.0.8)
 [![License](https://img.shields.io/badge/license-MIT-lightgrey.svg?style=flat-square)](LICENSE)
 
 **EveFlow** est un compagnon de bureau Windows immersif haut de gamme, combinant une esthétique cyberpunk rétro-futuriste soignée et des technologies d'intelligence artificielle avancées. Il intègre un assistant virtuel en 3D nommé **Eve**, animé en temps réel avec des expressions émotionnelles dynamiques et synchronisé avec des services de synthèse vocale (TTS/STT) locaux et des architectures multi-agents.
@@ -74,7 +74,7 @@ Pour générer l'exécutable d'installation Windows (`.exe`) autonome :
    ```bash
    npm run dist
    ```
-   *L'exécutable d'installation NSIS (`EveFlow Setup 1.0.7.exe`) et la build décompressée seront générés dans le dossier `./out/`.*
+   *L'exécutable d'installation NSIS (`EveFlow Setup 1.0.8.exe`) et la build décompressée seront générés dans le dossier `./out/`.*
 
 ---
 

main.js

@@ -275,6 +275,13 @@ app.whenReady().then(() => {
     callback(false);
   });
 
+  session.defaultSession.setPermissionCheckHandler((webContents, permission, requestingOrigin, details) => {
+    if (permission === 'media') {
+      return true;
+    }
+    return false;
+  });
+
   startWebhookServer();
   createWindow();
 

package-lock.json

@@ -1,12 +1,12 @@
 {
   "name": "eveflow",
-  "version": "1.0.7",
+  "version": "1.0.8",
   "lockfileVersion": 3,
   "requires": true,
   "packages": {
     "": {
       "name": "eveflow",
-      "version": "1.0.7",
+      "version": "1.0.8",
       "dependencies": {
         "@react-three/drei": "^9.105.0",
         "@react-three/fiber": "^8.16.0",

package.json

@@ -1,6 +1,6 @@
 {
   "name": "eveflow",
-  "version": "1.0.7",
+  "version": "1.0.8",
   "description": "Retro-futuristic Windows companion with 3D Eve bot, local TTS/STT, and multi-agent connectivity",
   "main": "main.js",
   "scripts": {

src/App.tsx

@@ -2543,6 +2543,27 @@ export const App: React.FC = () => {
                 <div ref={compactMessagesEndRef} />
               </div>
 
+              {errorMessage && (
+                <div style={{
+                  backgroundColor: 'rgba(239, 68, 68, 0.12)',
+                  border: '1px solid rgba(239, 68, 68, 0.35)',
+                  borderRadius: '8px',
+                  color: '#ff6b6b',
+                  padding: '6px 10px',
+                  fontSize: '10px',
+                  display: 'flex',
+                  gap: '6px',
+                  alignItems: 'center',
+                  boxShadow: '0 0 10px rgba(239, 68, 68, 0.05)'
+                }}>
+                  <AlertCircle style={{ width: '13px', height: '13px', flexShrink: 0, color: '#ef4444' }} />
+                  <div style={{ flex: 1, overflow: 'hidden', textOverflow: 'ellipsis', whiteSpace: 'nowrap' }} title={errorMessage}>
+                    <strong style={{ textTransform: 'uppercase', marginRight: '4px' }}>DÉFAILLANCE:</strong>
+                    {errorMessage}
+                  </div>
+                </div>
+              )}
+
               {/* Barre de saisie compacte */}
               <div style={{ display: 'flex', gap: '6px', alignItems: 'center', width: '100%', paddingBottom: '2px' }}>
                 <input

src/services/audioService.ts

@@ -113,6 +113,19 @@ export class AudioService {
     }
   }
 
+  private logInfo(tag: string, message: string, data?: any) {
+    console.log(`[${tag}] ${message}`, data);
+    if ((window as any).electronAPI?.writeLog) {
+      (window as any).electronAPI.writeLog({
+        ts: new Date().toISOString(),
+        level: 'INFO',
+        tag,
+        message,
+        data: data ? { message: data.message, stack: data.stack, ...data } : undefined
+      });
+    }
+  }
+
   constructor() {
     this.ttsSynth = window.speechSynthesis;
     this.initSTT();
@@ -622,7 +635,18 @@ export class AudioService {
 
       const AudioCtx = window.AudioContext || (window as any).webkitAudioContext;
       this.audioContext = new AudioCtx();
+      
+      // Assurer que l'AudioContext est actif (non suspendu)
+      if (this.audioContext.state === 'suspended') {
+        this.logWarn("STT", "AudioContext initialisé à l'état suspendu. Tentative de reprise...");
+        await this.audioContext.resume();
+      }
+      
       this.sampleRate = this.audioContext.sampleRate;
+      this.logInfo("STT", "AudioContext démarré avec succès", {
+        state: this.audioContext.state,
+        sampleRate: this.sampleRate
+      });
 
       const source = this.audioContext.createMediaStreamSource(stream);
       // bufferSize de 2048, 1 canal d'entrée, 1 de sortie
@@ -687,6 +711,12 @@ export class AudioService {
     // Exporter le tampon audio en fichier WAV
     const wavBlob = this.exportWAV(this.leftChannel, this.recordingLength, this.sampleRate);
     
+    this.logInfo("STT", "Arrêt de l'écoute, exportation WAV...", {
+      recordingLength: this.recordingLength,
+      sampleRate: this.sampleRate,
+      wavSize: wavBlob.size
+    });
+
     this.transcribeAudioWithAPI(wavBlob, lang)
       .then(text => {
         if (onResultCallback) onResultCallback(text);
@@ -699,14 +729,19 @@ export class AudioService {
 
   // Fonctions utilitaires pour générer le conteneur WAV PCM 16-bit
   private exportWAV(channelData: Float32Array[], recordingLength: number, sampleRate: number): Blob {
-    const buffer = this.mergeBuffers(channelData, recordingLength);
+    const originalBuffer = this.mergeBuffers(channelData, recordingLength);
-    const wavBuffer = new ArrayBuffer(44 + buffer.length * 2);
+    
+    // Rééchantillonner à 16000 Hz pour la compatibilité avec l'API ASR (Whisper / Qwen3-ASR)
+    const targetSampleRate = 16000;
+    const resampledBuffer = this.downsampleBuffer(originalBuffer, sampleRate, targetSampleRate);
+    
+    const wavBuffer = new ArrayBuffer(44 + resampledBuffer.length * 2);
     const view = new DataView(wavBuffer);
 
     /* Identifiant RIFF */
     this.writeString(view, 0, 'RIFF');
     /* Taille du fichier */
-    view.setUint32(4, 36 + buffer.length * 2, true);
+    view.setUint32(4, 36 + resampledBuffer.length * 2, true);
     /* Type RIFF */
     this.writeString(view, 8, 'WAVE');
     /* Identifiant format fmt */
@@ -718,9 +753,9 @@ export class AudioService {
     /* Nombre de canaux (1 = Mono) */
     view.setUint16(22, 1, true);
     /* Fréquence d'échantillonnage */
-    view.setUint32(24, sampleRate, true);
+    view.setUint32(24, targetSampleRate, true);
-    /* Débit d'octets (sampleRate * blockAlign) */
+    /* Débit d'octets (targetSampleRate * blockAlign) */
-    view.setUint32(28, sampleRate * 2, true);
+    view.setUint32(28, targetSampleRate * 2, true);
     /* Block align (1 canal * 2 octets par échantillon) */
     view.setUint16(32, 2, true);
     /* Bits par échantillon (16 bits) */
@@ -728,13 +763,49 @@ export class AudioService {
     /* Identifiant de données data */
     this.writeString(view, 36, 'data');
     /* Longueur des données audio */
-    view.setUint32(40, buffer.length * 2, true);
+    view.setUint32(40, resampledBuffer.length * 2, true);
 
-    this.floatTo16BitPCM(view, 44, buffer);
+    this.floatTo16BitPCM(view, 44, resampledBuffer);
 
     return new Blob([view], { type: 'audio/wav' });
   }
 
+  private downsampleBuffer(buffer: Float32Array, originalSampleRate: number, targetSampleRate: number): Float32Array {
+    if (originalSampleRate === targetSampleRate) {
+      return buffer;
+    }
+    
+    const sampleRateRatio = originalSampleRate / targetSampleRate;
+    const newLength = Math.round(buffer.length / sampleRateRatio);
+    const result = new Float32Array(newLength);
+    
+    let offsetResult = 0;
+    let offsetBuffer = 0;
+    
+    while (offsetResult < result.length) {
+      const nextOffsetBuffer = Math.round((offsetResult + 1) * sampleRateRatio);
+      
+      // Moyennage simple (box filter) pour éviter l'aliasing
+      let accum = 0;
+      let count = 0;
+      for (let i = offsetBuffer; i < nextOffsetBuffer && i < buffer.length; i++) {
+        accum += buffer[i];
+        count++;
+      }
+      
+      if (count > 0) {
+        result[offsetResult] = accum / count;
+      } else {
+        result[offsetResult] = buffer[Math.min(offsetBuffer, buffer.length - 1)];
+      }
+      
+      offsetResult++;
+      offsetBuffer = nextOffsetBuffer;
+    }
+    
+    return result;
+  }
+
   private mergeBuffers(channelData: Float32Array[], recordingLength: number): Float32Array {
     const result = new Float32Array(recordingLength);
     let offset = 0;