feat: fix frontend and activate imports
This commit is contained in:
@@ -36,9 +36,6 @@ MYSQL_DATABASE_URL=mysql://db_user:db_password@localhost:3306/external_database_
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EXTERNAL_TABLE_GRADES=notas
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EXTERNAL_ID_TIPO_NOTA=1
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# Bark TTS API (Text-to-Speech for questions)
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BARK_API_URL=http://t-800:8443
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# Branding Defaults
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DEFAULT_ORG_NAME="Norteamericano"
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DEFAULT_PLATFORM_NAME="Norteamericano Learning"
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@@ -290,10 +290,6 @@ if user_usage > DAILY_LIMIT {
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- Gráficos de tendencia
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- Comparativa mes a mes
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4. **Integrar con Bark**
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- Track tokens de audio generation
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- Costos específicos de TTS
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---
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**Implementación: 100% Completa** 🎉
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+11
-63
@@ -1,4 +1,4 @@
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# 🚀 Resumen de Implementación - Question Bank con Audio
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# 🚀 Resumen de Implementación - Question Bank
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## ✅ Estado de la Implementación
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@@ -6,21 +6,18 @@
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- ✅ Migración de base de datos con `skill_assessed`
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- ✅ Endpoints CRUD para Question Bank
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- ✅ Importación desde MySQL
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- ✅ Generación de audio con Bark
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- ✅ RAG con verificación de 4 habilidades
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- ✅ Compilación exitosa (8 warnings menores)
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- ✅ Compilación exitosa
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### Frontend (TypeScript/React) - COMPLETO
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### Frontend (TypeScript/React) - COMPLETO
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- ✅ Página `/question-bank` con dashboard
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- ✅ Componente QuestionBankCard con badge de skills
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- ✅ QuestionBankEditor con generación IA de skills
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- ✅ MySQLImportModal
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- ✅ AudioGeneratorModal
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- ✅ Navegación actualizada con link
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- ✅ TypeScript: 3 errores menores (admin, no críticos)
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### Infraestructura - LISTO PARA DESPLEGAR
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- ✅ Scripts de instalación de Bark
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### Infraestructura - LISTO
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- ✅ install.sh actualizado con detección dev/prod
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- ✅ Documentación completa
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@@ -43,52 +40,19 @@ web/studio/src/app/question-bank/page.tsx (NUEVO)
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web/studio/src/components/QuestionBank/QuestionBankCard.tsx (NUEVO)
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web/studio/src/components/QuestionBank/QuestionBankEditor.tsx (NUEVO)
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web/studio/src/components/QuestionBank/MySQLImportModal.tsx (NUEVO)
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web/studio/src/components/QuestionBank/AudioGeneratorModal.tsx (NUEVO)
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web/studio/src/components/Navbar.tsx (link agregado)
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web/studio/src/lib/api.ts (API client)
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```
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### Scripts & Docs
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```
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scripts/install_bark_tts.sh (NUEVO)
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scripts/deploy_to_t800.sh (NUEVO)
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docs/BARK_TTS_GUIDE.md (NUEVO)
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docs/QUESTION_BANK_UI.md (NUEVO)
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docs/BARK_MANUAL_INSTALL.md (NUEVO)
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install.sh (actualizado con Bark)
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.env.example (BARK_API_URL agregado)
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docs/EXCEL_IMPORT_TEMPLATE.md
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install.sh (actualizado)
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```
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---
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## 🔧 Instalación de Bark en t-800
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### Opción Automática (Recomendada)
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```bash
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cd /home/juan/dev/openccb
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./scripts/deploy_to_t800.sh
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# Ingresar contraseña: apoca11
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```
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### Opción Manual
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```bash
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# Copiar script
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scp scripts/install_bark_tts.sh juan@t-800:/tmp/
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# Conectarse
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ssh juan@t-800
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# Ejecutar
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sudo /tmp/install_bark_tts.sh
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# Verificar
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curl http://localhost:8000/health
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```
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**Ver documentación completa en:** `docs/BARK_MANUAL_INSTALL.md`
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---
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## 🎯 Características de 4 Habilidades
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### Implementación
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@@ -123,14 +87,12 @@ curl http://localhost:8000/health
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**Desarrollo:**
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```bash
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BARK_API_URL=http://t-800:8000
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OLLAMA_URL=http://t-800:11434
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WHISPER_URL=http://t-800:9000
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```
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**Producción:**
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```bash
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BARK_API_URL=http://t-800.norteamericano.cl:8000
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OLLAMA_URL=http://t-800.norteamericano.cl:11434
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WHISPER_URL=http://t-800.norteamericano.cl:9000
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```
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@@ -147,8 +109,8 @@ GET /question-bank/{id} # Obtener pregunta
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PUT /question-bank/{id} # Actualizar pregunta
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DELETE /question-bank/{id} # Eliminar pregunta
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POST /question-bank/import-mysql # Importar desde MySQL
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POST /question-bank/{id}/generate-audio # Generar audio Bark
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GET /question-bank/mysql-courses # Listar cursos MySQL
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POST /question-bank/import-mysql-all # Importar todo desde MySQL
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```
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### Test Templates (actualizado)
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@@ -175,12 +137,6 @@ npm run type-check
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# ⚠️ 3 errores menores en admin (no afectan Question Bank)
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```
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### 3. Bark (después de instalar)
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```bash
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curl http://t-800:8000/health
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# Expected: {"status":"healthy","service":"bark-tts"}
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```
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---
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## 🎨 UI Features
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@@ -201,25 +157,20 @@ curl http://t-800:8000/health
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- 10 tipos de preguntas
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- Generación IA con skills
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- Tags automáticos
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- Audio generation checkbox
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---
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## 📝 Próximos Pasos (Opcionales)
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1. **Desplegar Bark en t-800**
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- Ejecutar `./scripts/deploy_to_t800.sh`
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- O seguir `docs/BARK_MANUAL_INSTALL.md`
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2. **Filtrar errores de admin** (no críticos)
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1. **Filtrar errores de admin** (no críticos)
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- `getOrganizations` no existe
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- `BrandingContext` type error
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3. **Integración con Test Templates**
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2. **Integración con Test Templates**
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- Selector de preguntas desde banco
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- Bulk selection
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4. **Analytics de Skills**
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3. **Analytics de Skills**
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- Dashboard de distribución de skills
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- Reportes por habilidad
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@@ -231,10 +182,9 @@ curl http://t-800:8000/health
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|------------|--------|-------|
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| Backend Question Bank | ✅ 100% | Compila exitosamente |
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| Frontend Question Bank | ✅ 95% | UI completa, 3 errores admin menores |
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| Bark Scripts | ✅ 100% | Listos para desplegar |
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| install.sh | ✅ 100% | Detecta dev/prod automáticamente |
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| Skills Verification | ✅ 100% | Implementado en IA y BD |
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| Documentación | ✅ 100% | 4 archivos docs completos |
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| Documentación | ✅ 100% | Archivos docs completos |
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**Progreso Total: 98%** 🎉
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@@ -242,7 +192,5 @@ curl http://t-800:8000/health
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## 📞 Soporte
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- **Bark Installation**: `docs/BARK_MANUAL_INSTALL.md`
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- **UI Usage**: `docs/QUESTION_BANK_UI.md`
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- **Bark API**: `docs/BARK_TTS_GUIDE.md`
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- **General**: `README.md` del proyecto
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@@ -1,206 +0,0 @@
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# Instalación Manual de Bark TTS en t-800
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## Opción A: Instalación Automática (Recomendada)
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```bash
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# 1. Copiar script a t-800
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scp scripts/install_bark_tts.sh juan@t-800:/tmp/install_bark_tts.sh
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# 2. Conectarse a t-800
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ssh juan@t-800
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# 3. Ejecutar instalación
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chmod +x /tmp/install_bark_tts.sh
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sudo /tmp/install_bark_tts.sh
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# 4. Verificar instalación
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curl http://localhost:8000/health
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```
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## Opción B: Instalación Paso a Paso
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```bash
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# Conectarse a t-800
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ssh juan@t-800
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# Contraseña: apoca11
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# Actualizar sistema
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sudo apt-get update
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sudo apt-get install -y python3 python3-pip python3-venv git ffmpeg curl
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# Crear directorio
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sudo mkdir -p /opt/bark
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sudo chown juan:juan /opt/bark
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cd /opt/bark
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# Clonar Bark
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git clone https://github.com/suno-ai/bark.git
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cd bark
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# Crear entorno virtual
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python3 -m venv venv
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source venv/bin/activate
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# Instalar dependencias
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pip install --upgrade pip
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pip install -e .
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pip install fastapi uvicorn[standard] python-multipart numpy scipy
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# Crear archivo de API
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cat > bark_api.py << 'PYEOF'
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from fastapi import FastAPI, HTTPException, Query
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from fastapi.responses import StreamingResponse
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from bark import SAMPLE_RATE, generate_audio, preload_models
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from scipy.io.wavfile import write as write_wav
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import numpy as np
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import io
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app = FastAPI(title="Bark TTS API", version="1.0.0")
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print("Preloading Bark models...")
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preload_models()
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print("Models loaded!")
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@app.get("/health")
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async def health_check():
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return {"status": "healthy", "service": "bark-tts"}
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@app.get("/api/voices")
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async def list_voices():
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return {
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"voices": [
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{"id": "v2/en_speaker_0", "name": "English Speaker 0", "language": "en"},
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{"id": "v2/en_speaker_1", "name": "English Speaker 1", "language": "en"},
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{"id": "v2/en_speaker_6", "name": "English Speaker 6", "language": "en"},
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{"id": "v2/es_speaker_0", "name": "Spanish Speaker 0", "language": "es"},
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{"id": "v2/es_speaker_1", "name": "Spanish Speaker 1", "language": "es"},
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{"id": "v2/es_speaker_3", "name": "Spanish Speaker 3", "language": "es"},
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]
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}
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@app.post("/api/generate")
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async def generate_speech(
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text: str = Query(..., min_length=1, max_length=500),
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voice: str = Query(default="v2/en_speaker_1"),
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speed: float = Query(default=1.0, ge=0.5, le=2.0),
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output_format: str = Query(default="wav", regex="^(mp3|wav|ogg)$")
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):
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try:
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audio_array = generate_audio(text, history_prompt=voice)
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if speed != 1.0:
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new_length = int(len(audio_array) / speed)
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audio_array = audio_array[:new_length]
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audio_buffer = io.BytesIO()
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write_wav(audio_buffer, SAMPLE_RATE, audio_array)
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audio_buffer.seek(0)
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return StreamingResponse(
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audio_buffer,
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media_type="audio/wav",
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headers={"Content-Disposition": f"attachment; filename=speech.wav"}
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)
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except Exception as e:
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raise HTTPException(status_code=500, detail=str(e))
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if __name__ == "__main__":
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import uvicorn
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uvicorn.run(app, host="0.0.0.0", port=8000)
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PYEOF
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# Crear servicio systemd
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cat > /tmp/bark-tts.service << EOF
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[Unit]
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Description=Bark TTS API Server
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After=network.target
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[Service]
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Type=simple
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User=juan
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Group=juan
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WorkingDirectory=/opt/bark/bark
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Environment="PATH=/opt/bark/bark/venv/bin"
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ExecStart=/opt/bark/bark/venv/bin/uvicorn bark_api:app --host 0.0.0.0 --port 8000 --workers 1
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Restart=always
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RestartSec=10
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MemoryMax=4G
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MemoryHigh=3G
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CPUQuota=80%
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[Install]
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WantedBy=multi-user.target
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EOF
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sudo mv /tmp/bark-tts.service /etc/systemd/system/
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sudo systemctl daemon-reload
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sudo systemctl enable bark-tts
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sudo systemctl start bark-tts
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# Verificar
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sudo systemctl status bark-tts
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curl http://localhost:8000/health
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```
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## Prueba de Funcionamiento
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```bash
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# Test básico
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curl "http://localhost:8000/api/generate?text=Hello%20World&voice=v2/en_speaker_1" -o test.wav
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# Test desde OpenCCB
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curl http://t-800:8000/health
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# Ver logs
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sudo journalctl -u bark-tts -f
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```
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## Configuración en OpenCCB
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Agregar a `.env`:
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```bash
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BARK_API_URL=http://t-800:8000
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# O para producción:
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# BARK_API_URL=http://t-800.norteamericano.cl:8000
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```
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## Solución de Problemas
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### Error: "Out of Memory"
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```bash
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# Reducir límite de memoria en systemd
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sudo systemctl edit bark-tts
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# Agregar:
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# [Service]
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# MemoryMax=2G
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```
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### Error: "Model not found"
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```bash
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# Reinstalar modelos
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cd /opt/bark/bark
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source venv/bin/activate
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python -c "from bark import preload_models; preload_models()"
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```
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### Servicio no inicia
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```bash
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# Ver logs
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sudo journalctl -u bark-tts -n 50
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# Reiniciar
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sudo systemctl restart bark-tts
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```
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## URLs de Acceso
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- **Health**: http://t-800:8000/health
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- **Voices**: http://t-800:8000/api/voices
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- **Generate**: http://t-800:8000/api/generate?text=Hello&voice=v2/en_speaker_1
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## Producción (t-800.norteamericano.cl)
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Para producción, asegurar que:
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1. El puerto 8000 esté abierto en el firewall
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2. El dominio t-800.norteamericano.cl apunte a la IP correcta
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3. Usar BARK_API_URL=http://t-800.norteamericano.cl:8000
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@@ -1,221 +0,0 @@
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# Bark TTS Integration Guide
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## Overview
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OpenCCB now integrates with **Suno AI's Bark** text-to-speech system for generating audio versions of questions. This allows students to listen to questions instead of just reading them, improving accessibility and supporting different learning styles.
|
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|
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## Architecture
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||||
|
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```
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┌─────────────────┐ HTTP ┌─────────────────┐
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│ OpenCCB CMS │ ────────────> │ Bark TTS API │
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│ (PostgreSQL) │ <──────────── │ (Server t-800)│
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│ │ Audio │ │
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└─────────────────┘ └─────────────────┘
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```
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## Deployment to t-800 Server
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### Prerequisites
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|
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- SSH access to t-800 server
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- At least 8GB RAM recommended (Bark loads large models)
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- 10GB free disk space
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- Python 3.8+
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- GPU optional (CUDA support for faster generation)
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|
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### Quick Deploy
|
||||
|
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```bash
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# From your local machine
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cd /home/juan/dev/openccb
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./scripts/deploy_to_t800.sh
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```
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|
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This will:
|
||||
1. SSH into t-800
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2. Install Python dependencies
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3. Clone Bark repository
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4. Set up systemd service
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5. Start the API server
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|
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### Manual Deploy
|
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|
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```bash
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# SSH into t-800
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ssh juan@t-800
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|
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# Run installation script
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||||
wget https://raw.githubusercontent.com/suno-ai/bark/main/scripts/install.sh
|
||||
sudo bash install.sh
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||||
```
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|
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## API Endpoints
|
||||
|
||||
Once deployed, Bark API is available at `http://t-800:8000`
|
||||
|
||||
### Health Check
|
||||
```bash
|
||||
curl http://t-800:8000/health
|
||||
```
|
||||
|
||||
### List Available Voices
|
||||
```bash
|
||||
curl http://t-800:8000/api/voices
|
||||
```
|
||||
|
||||
### Generate Speech
|
||||
```bash
|
||||
# Basic usage
|
||||
curl "http://t-800:8000/api/generate?text=What%20color%20is%20the%20sky%3F" \
|
||||
-o question.wav
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||||
|
||||
# With specific voice and speed
|
||||
curl "http://t-800:8000/api/generate?text=Hello%20World&voice=v2/en_speaker_6&speed=1.2" \
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||||
-o greeting.wav
|
||||
|
||||
# Spanish voice
|
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curl "http://t-800:8000/api/generate?text=Hola%20mundo&voice=v2/es_speaker_0" \
|
||||
-o saludo.wav
|
||||
```
|
||||
|
||||
## Available Voices
|
||||
|
||||
### English Voices
|
||||
- `v2/en_speaker_0` through `v2/en_speaker_9`
|
||||
|
||||
### Spanish Voices
|
||||
- `v2/es_speaker_0` through `v2/es_speaker_9`
|
||||
|
||||
## Integration with OpenCCB
|
||||
|
||||
### Generate Audio for a Question
|
||||
|
||||
```bash
|
||||
# Via API
|
||||
curl -X POST "http://localhost:3001/question-bank/{question_id}/generate-audio" \
|
||||
-H "Authorization: Bearer YOUR_TOKEN" \
|
||||
-H "Content-Type: application/json" \
|
||||
-d '{
|
||||
"text": "What color is the sky?",
|
||||
"voice": "v2/en_speaker_1",
|
||||
"speed": 1.0
|
||||
}'
|
||||
```
|
||||
|
||||
### Automatic Audio Generation
|
||||
|
||||
When creating a question:
|
||||
|
||||
```json
|
||||
POST /question-bank
|
||||
{
|
||||
"question_text": "What is the capital of France?",
|
||||
"question_type": "multiple-choice",
|
||||
"options": ["Paris", "London", "Berlin", "Madrid"],
|
||||
"correct_answer": 0,
|
||||
"explanation": "Paris is the capital of France.",
|
||||
"generate_audio": true // Triggers async audio generation
|
||||
}
|
||||
```
|
||||
|
||||
## Configuration
|
||||
|
||||
### Environment Variables
|
||||
|
||||
Add to your `.env` file:
|
||||
|
||||
```bash
|
||||
# Bark TTS API URL
|
||||
BARK_API_URL=http://t-800:8000
|
||||
|
||||
# Optional: Default voice for audio generation
|
||||
BARK_DEFAULT_VOICE=v2/en_speaker_1
|
||||
|
||||
# Optional: Default speed
|
||||
BARK_DEFAULT_SPEED=1.0
|
||||
```
|
||||
|
||||
## Performance Optimization
|
||||
|
||||
### Model Preloading
|
||||
|
||||
Bark preloads models on startup (takes ~30 seconds). The systemd service handles this automatically.
|
||||
|
||||
### Memory Management
|
||||
|
||||
The systemd service includes memory limits:
|
||||
```ini
|
||||
MemoryMax=4G
|
||||
MemoryHigh=3G
|
||||
```
|
||||
|
||||
Adjust based on your server's capacity.
|
||||
|
||||
### Batch Generation
|
||||
|
||||
For importing many questions:
|
||||
|
||||
```bash
|
||||
# Generate audio for multiple questions
|
||||
curl "http://t-800:8000/api/generate/batch?texts=Question%201&texts=Question%202&voice=v2/en_speaker_1"
|
||||
```
|
||||
|
||||
## Troubleshooting
|
||||
|
||||
### Service Not Starting
|
||||
|
||||
```bash
|
||||
# Check status
|
||||
sudo systemctl status bark-tts
|
||||
|
||||
# View logs
|
||||
sudo journalctl -u bark-tts -f
|
||||
|
||||
# Restart service
|
||||
sudo systemctl restart bark-tts
|
||||
```
|
||||
|
||||
### Out of Memory
|
||||
|
||||
If Bark crashes due to memory:
|
||||
1. Reduce `MemoryMax` in systemd service
|
||||
2. Use smaller models: `suno/bark-small`
|
||||
3. Process questions one at a time
|
||||
|
||||
### Slow Generation
|
||||
|
||||
- GPU acceleration: Install CUDA-enabled PyTorch
|
||||
- Reduce audio quality settings
|
||||
- Use shorter text segments
|
||||
|
||||
## Testing
|
||||
|
||||
```bash
|
||||
# Test English voice
|
||||
curl "http://t-800:8000/api/generate?text=The%20quick%20brown%20fox&voice=v2/en_speaker_1" | play -
|
||||
|
||||
# Test Spanish voice
|
||||
curl "http://t-800:8000/api/generate?text=El%20rápido%20zorro%20marrón&voice=v2/es_speaker_0" | play -
|
||||
```
|
||||
|
||||
## Security Notes
|
||||
|
||||
- Bark API runs on internal network only
|
||||
- No authentication required (assumes trusted network)
|
||||
- Rate limiting handled by OpenCCB
|
||||
- Audio files stored in `uploads/audio/` directory
|
||||
|
||||
## Future Enhancements
|
||||
|
||||
- [ ] Add authentication to Bark API
|
||||
- [ ] Support for custom voice cloning
|
||||
- [ ] Audio preprocessing (noise reduction, normalization)
|
||||
- [ ] Caching layer for repeated requests
|
||||
- [ ] WebSocket support for streaming audio
|
||||
|
||||
## References
|
||||
|
||||
- [Bark GitHub](https://github.com/suno-ai/bark)
|
||||
- [Bark Hugging Face](https://huggingface.co/suno/bark)
|
||||
- [OpenCCB Question Bank Documentation](../docs/question-bank.md)
|
||||
@@ -101,40 +101,6 @@ Modal para importar preguntas desde MySQL:
|
||||
- Progreso de importación
|
||||
- Resultado (éxito/error)
|
||||
|
||||
### 5. AudioGeneratorModal (`AudioGeneratorModal.tsx`)
|
||||
|
||||
Modal para generar audio con Bark TTS:
|
||||
|
||||
**Configuración:**
|
||||
- Vista previa del texto de la pregunta
|
||||
- Texto personalizable (opcional)
|
||||
- Selector de voz (6 opciones: 3 inglés, 3 español)
|
||||
- Control de velocidad (0.5x - 2.0x)
|
||||
|
||||
**Voces disponibles:**
|
||||
```
|
||||
Inglés:
|
||||
- v2/en_speaker_0 (English Speaker 0)
|
||||
- v2/en_speaker_1 (English Speaker 1) ← default
|
||||
- v2/en_speaker_6 (English Speaker 6)
|
||||
|
||||
Español:
|
||||
- v2/es_speaker_0 (Spanish Speaker 0)
|
||||
- v2/es_speaker_1 (Spanish Speaker 1)
|
||||
- v2/es_speaker_3 (Spanish Speaker 3)
|
||||
```
|
||||
|
||||
**Estados:**
|
||||
- ⏳ Generando... (polling cada 1s, max 30s)
|
||||
- ✅ Audio generado (con preview play/pause)
|
||||
- ❌ Error (mensaje descriptivo)
|
||||
|
||||
**Características:**
|
||||
- Polling automático para verificar estado
|
||||
- Reproductor de audio integrado
|
||||
- Botón Play/Pause
|
||||
- Indicador visual de estado
|
||||
|
||||
## Flujos de Usuario
|
||||
|
||||
### Crear Pregunta Manualmente
|
||||
@@ -288,11 +254,6 @@ GET /question-bank/mysql-courses
|
||||
- Verificar que `MYSQL_DATABASE_URL` esté configurado en `.env`
|
||||
- Verificar conectividad al servidor MySQL
|
||||
|
||||
**Error: "Error al generar audio"**
|
||||
- Verificar que Bark TTS esté corriendo en t-800
|
||||
- Verificar que `BARK_API_URL` esté configurado
|
||||
- Revisar logs de Bark: `ssh juan@t-800 && journalctl -u bark-tts -f`
|
||||
|
||||
**Audio no se reproduce**
|
||||
- Verificar formato de audio (WAV soportado)
|
||||
- Verificar permisos del navegador
|
||||
@@ -301,5 +262,4 @@ GET /question-bank/mysql-courses
|
||||
## Referencias
|
||||
|
||||
- [Question Bank Backend](../../services/cms-service/src/handlers_question_bank.rs)
|
||||
- [Bark TTS Guide](../../docs/BARK_TTS_GUIDE.md)
|
||||
- [Test Templates UI](./TestTemplates/)
|
||||
|
||||
@@ -120,11 +120,9 @@ echo "🔍 Configurando Servicios de IA Remota ($ENV_CHOICE)..."
|
||||
if [ "$ENV_CHOICE" == "dev" ]; then
|
||||
DEFAULT_OLLAMA="http://t-800:11434"
|
||||
DEFAULT_WHISPER="http://t-800:9000"
|
||||
DEFAULT_BARK="http://t-800:8000"
|
||||
else
|
||||
DEFAULT_OLLAMA="http://t-800.norteamericano.cl:11434"
|
||||
DEFAULT_WHISPER="http://t-800.norteamericano.cl:9000"
|
||||
DEFAULT_BARK="http://t-800.norteamericano.cl:8000"
|
||||
fi
|
||||
|
||||
read -p "Ingrese la URL de Ollama Remoto [$DEFAULT_OLLAMA]: " REMOTE_OLLAMA_URL
|
||||
@@ -133,27 +131,22 @@ read -p "Ingrese la URL de Whisper Remoto [$DEFAULT_WHISPER]: " REMOTE_WHISPER_U
|
||||
REMOTE_WHISPER_URL=${REMOTE_WHISPER_URL:-$DEFAULT_WHISPER}
|
||||
read -p "Ingrese la URL del Image Bridge Remoto [http://t-800:8080]: " REMOTE_IMAGE_URL
|
||||
REMOTE_IMAGE_URL=${REMOTE_IMAGE_URL:-"http://t-800:8080"}
|
||||
read -p "Ingrese la URL de Bark TTS Remoto [$DEFAULT_BARK]: " REMOTE_BARK_URL
|
||||
REMOTE_BARK_URL=${REMOTE_BARK_URL:-$DEFAULT_BARK}
|
||||
read -p "Ingrese el nombre del Modelo (en el servidor remoto) [llama3.2:3b]: " LLM_MODEL
|
||||
LLM_MODEL=${LLM_MODEL:-llama3.2:3b}
|
||||
|
||||
update_env "AI_PROVIDER" "local"
|
||||
update_env "LOCAL_LLM_MODEL" "$LLM_MODEL"
|
||||
update_env "LOCAL_VIDEO_BRIDGE_URL" "$REMOTE_IMAGE_URL"
|
||||
update_env "BARK_API_URL" "$REMOTE_BARK_URL"
|
||||
|
||||
if [ "$ENV_CHOICE" == "dev" ]; then
|
||||
update_env "DEV_OLLAMA_URL" "$REMOTE_OLLAMA_URL"
|
||||
update_env "DEV_WHISPER_URL" "$REMOTE_WHISPER_URL"
|
||||
update_env "DEV_BARK_URL" "$REMOTE_BARK_URL"
|
||||
# Portavilidad: set base URLs too
|
||||
update_env "LOCAL_OLLAMA_URL" "$REMOTE_OLLAMA_URL"
|
||||
update_env "LOCAL_WHISPER_URL" "$REMOTE_WHISPER_URL"
|
||||
else
|
||||
update_env "PROD_OLLAMA_URL" "$REMOTE_OLLAMA_URL"
|
||||
update_env "PROD_WHISPER_URL" "$REMOTE_WHISPER_URL"
|
||||
update_env "PROD_BARK_URL" "$REMOTE_BARK_URL"
|
||||
# Portavilidad: set base URLs too
|
||||
update_env "LOCAL_OLLAMA_URL" "$REMOTE_OLLAMA_URL"
|
||||
update_env "LOCAL_WHISPER_URL" "$REMOTE_WHISPER_URL"
|
||||
|
||||
@@ -1,69 +0,0 @@
|
||||
#!/bin/bash
|
||||
# Check and start Bark TTS service on t-800
|
||||
|
||||
echo "=== Checking Bark TTS Status on t-800 ==="
|
||||
echo ""
|
||||
|
||||
# Check if systemd service exists
|
||||
if systemctl list-unit-files | grep -q bark-tts; then
|
||||
echo "✅ Bark systemd service found"
|
||||
|
||||
# Check service status
|
||||
echo ""
|
||||
echo "Service Status:"
|
||||
sudo systemctl status bark-tts --no-pager
|
||||
|
||||
# If not running, try to start
|
||||
if ! systemctl is-active --quiet bark-tts; then
|
||||
echo ""
|
||||
echo "⚠️ Service is not running. Attempting to start..."
|
||||
sudo systemctl start bark-tts
|
||||
|
||||
sleep 5
|
||||
|
||||
if systemctl is-active --quiet bark-tts; then
|
||||
echo "✅ Service started successfully!"
|
||||
else
|
||||
echo "❌ Failed to start service. Checking logs..."
|
||||
echo ""
|
||||
echo "Recent logs:"
|
||||
sudo journalctl -u bark-tts -n 20 --no-pager
|
||||
fi
|
||||
else
|
||||
echo "✅ Service is running"
|
||||
fi
|
||||
else
|
||||
echo "❌ Bark systemd service not found"
|
||||
echo ""
|
||||
echo "The installation may not have completed successfully."
|
||||
echo "Check if Bark is installed manually:"
|
||||
echo ""
|
||||
echo " ls -la /opt/bark/bark/"
|
||||
echo " ps aux | grep uvicorn"
|
||||
echo ""
|
||||
echo "To install manually, run:"
|
||||
echo " ssh juan@t-800"
|
||||
echo " sudo /tmp/install_bark_tts.sh (if script exists)"
|
||||
echo ""
|
||||
fi
|
||||
|
||||
# Test API if service is running
|
||||
if systemctl is-active --quiet bark-tts; then
|
||||
echo ""
|
||||
echo "=== Testing Bark API ==="
|
||||
|
||||
# Health check
|
||||
echo "Health endpoint:"
|
||||
curl -s http://localhost:8443/health | head -5
|
||||
|
||||
echo ""
|
||||
echo ""
|
||||
echo "Voices endpoint:"
|
||||
curl -s http://localhost:8443/api/voices | head -10
|
||||
|
||||
echo ""
|
||||
echo ""
|
||||
echo "=== API is accessible ==="
|
||||
echo "You can now generate audio with:"
|
||||
echo " curl 'http://localhost:8443/api/generate?text=Hello%20World&voice=v2/en_speaker_1' -o test.wav"
|
||||
fi
|
||||
@@ -1,193 +0,0 @@
|
||||
#!/bin/bash
|
||||
# Bark TTS Cleanup Script for t-800
|
||||
# This script removes all Bark TTS components from the server
|
||||
|
||||
set -e
|
||||
|
||||
T800_HOST="t-800"
|
||||
T800_USER="juan"
|
||||
|
||||
echo "=========================================="
|
||||
echo " Bark TTS Cleanup for t-800"
|
||||
echo "=========================================="
|
||||
echo ""
|
||||
echo "This script will completely remove Bark TTS from t-800"
|
||||
echo "Including:"
|
||||
echo " - Systemd service"
|
||||
echo " - Installation directory (/opt/bark)"
|
||||
echo " - User account (bark)"
|
||||
echo " - All cached models (~3.6 GB)"
|
||||
echo ""
|
||||
|
||||
read -p "Continue? [y/N]: " confirm
|
||||
if [ "$confirm" != "y" ] && [ "$confirm" != "Y" ]; then
|
||||
echo "❌ Cancelled"
|
||||
exit 0
|
||||
fi
|
||||
|
||||
echo ""
|
||||
echo "📤 Copying cleanup script to t-800..."
|
||||
|
||||
# Create cleanup script
|
||||
cat > /tmp/cleanup_bark_remote.sh << 'INNEREOF'
|
||||
#!/bin/bash
|
||||
set -e
|
||||
|
||||
echo ""
|
||||
echo "=== Stopping Bark Service ==="
|
||||
sudo systemctl stop bark-tts 2>/dev/null && echo "✅ Service stopped" || echo "⚠️ Service not running"
|
||||
|
||||
echo ""
|
||||
echo "=== Disabling Bark Service ==="
|
||||
sudo systemctl disable bark-tts 2>/dev/null && echo "✅ Service disabled" || echo "⚠️ Service not enabled"
|
||||
|
||||
echo ""
|
||||
echo "=== Removing Systemd Service ==="
|
||||
if [ -f /etc/systemd/system/bark-tts.service ]; then
|
||||
sudo rm -f /etc/systemd/system/bark-tts.service
|
||||
sudo systemctl daemon-reload
|
||||
echo "✅ Systemd service removed"
|
||||
else
|
||||
echo "⚠️ Systemd service not found"
|
||||
fi
|
||||
|
||||
echo ""
|
||||
echo "=== Removing Installation Directory ==="
|
||||
if [ -d /opt/bark ]; then
|
||||
SIZE=$(du -sh /opt/bark 2>/dev/null | cut -f1)
|
||||
echo "📊 Directory size: $SIZE"
|
||||
sudo rm -rf /opt/bark
|
||||
echo "✅ Directory removed"
|
||||
else
|
||||
echo "⚠️ Directory /opt/bark not found"
|
||||
fi
|
||||
|
||||
echo ""
|
||||
echo "=== Removing User Account ==="
|
||||
if id bark &>/dev/null; then
|
||||
sudo userdel -r bark 2>/dev/null && echo "✅ User removed" || echo "⚠️ Could not remove user"
|
||||
else
|
||||
echo "⚠️ User 'bark' does not exist"
|
||||
fi
|
||||
|
||||
echo ""
|
||||
echo "=== Cleaning Python Cache ==="
|
||||
sudo rm -rf /root/.cache/pip 2>/dev/null || true
|
||||
echo "✅ Cache cleaned"
|
||||
|
||||
echo ""
|
||||
echo "=========================================="
|
||||
echo " Verification"
|
||||
echo "=========================================="
|
||||
echo ""
|
||||
|
||||
echo "Services:"
|
||||
if systemctl list-unit-files 2>/dev/null | grep -q bark; then
|
||||
echo "❌ Bark services still exist:"
|
||||
systemctl list-unit-files 2>/dev/null | grep bark
|
||||
else
|
||||
echo "✅ No Bark services found"
|
||||
fi
|
||||
|
||||
echo ""
|
||||
echo "Directories:"
|
||||
if [ -d /opt/bark ]; then
|
||||
echo "❌ Directory still exists: /opt/bark"
|
||||
else
|
||||
echo "✅ No Bark directories found"
|
||||
fi
|
||||
|
||||
echo ""
|
||||
echo "Users:"
|
||||
if id bark &>/dev/null 2>&1; then
|
||||
echo "❌ User 'bark' still exists"
|
||||
else
|
||||
echo "✅ User 'bark' removed"
|
||||
fi
|
||||
|
||||
echo ""
|
||||
echo "Processes:"
|
||||
if ps aux | grep -v grep | grep -q "bark_api"; then
|
||||
echo "❌ Bark processes still running"
|
||||
ps aux | grep -v grep | grep "bark_api"
|
||||
else
|
||||
echo "✅ No Bark processes running"
|
||||
fi
|
||||
|
||||
echo ""
|
||||
echo "Ports:"
|
||||
if sudo netstat -tlnp 2>/dev/null | grep -q 8443; then
|
||||
echo "❌ Port 8443 still in use"
|
||||
sudo netstat -tlnp 2>/dev/null | grep 8443
|
||||
else
|
||||
echo "✅ Port 8443 is free"
|
||||
fi
|
||||
|
||||
echo ""
|
||||
echo "Disk Space Recovered:"
|
||||
echo "Previous: $(df -h /opt 2>/dev/null | tail -1 | awk '{print $4}') available"
|
||||
echo ""
|
||||
|
||||
echo "=========================================="
|
||||
echo " ✅ Cleanup Complete!"
|
||||
echo "=========================================="
|
||||
echo ""
|
||||
echo "Next steps:"
|
||||
echo " 1. Verify disk space: df -h"
|
||||
echo " 2. Check available ports: sudo netstat -tlnp"
|
||||
echo " 3. Continue with OpenCCB features"
|
||||
echo ""
|
||||
INNEREOF
|
||||
|
||||
# Copy to t-800
|
||||
scp /tmp/cleanup_bark_remote.sh ${T800_USER}@${T800_HOST}:/tmp/cleanup_bark_remote.sh
|
||||
|
||||
echo ""
|
||||
echo "🔌 Connecting to t-800 and running cleanup..."
|
||||
echo ""
|
||||
|
||||
# Execute on t-800
|
||||
ssh -t ${T800_USER}@${T800_HOST} << 'ENDSSH'
|
||||
chmod +x /tmp/cleanup_bark_remote.sh
|
||||
sudo /tmp/cleanup_bark_remote.sh
|
||||
|
||||
# Clean up temp file
|
||||
rm /tmp/cleanup_bark_remote.sh
|
||||
ENDSSH
|
||||
|
||||
echo ""
|
||||
echo "=========================================="
|
||||
echo " Local Cleanup Complete"
|
||||
echo "=========================================="
|
||||
echo ""
|
||||
|
||||
# Clean up local temp file
|
||||
rm -f /tmp/cleanup_bark_remote.sh
|
||||
|
||||
echo "✅ All Bark TTS components have been removed from t-800"
|
||||
echo ""
|
||||
echo "📊 Next Steps - Choose What to Do Next:"
|
||||
echo ""
|
||||
echo " 1️⃣ Question Bank (sin audio)"
|
||||
echo " - Crear preguntas manualmente"
|
||||
echo " - Importar desde MySQL"
|
||||
echo " - Generar con IA"
|
||||
echo " - Acceder: /question-bank"
|
||||
echo ""
|
||||
echo " 2️⃣ Token Usage Dashboard"
|
||||
echo " - Ver consumo de IA por usuario"
|
||||
echo " - Monitorear costos"
|
||||
echo " - Detectar alto consumo"
|
||||
echo " - Acceder: /admin/token-usage"
|
||||
echo ""
|
||||
echo " 3️⃣ Importar Preguntas desde MySQL"
|
||||
echo " - Traer preguntas del sistema legacy"
|
||||
echo " - Marcar para no duplicar"
|
||||
echo " - Asignar skills automáticamente"
|
||||
echo ""
|
||||
echo "💡 Recommended: Try all three!"
|
||||
echo ""
|
||||
echo " cd /home/juan/dev/openccb"
|
||||
echo " # Start Studio"
|
||||
echo " cd web/studio && npm run dev"
|
||||
echo ""
|
||||
@@ -1,93 +0,0 @@
|
||||
#!/bin/bash
|
||||
# Deploy Bark TTS to t-800 server
|
||||
# Usage: ./deploy_to_t800.sh
|
||||
|
||||
set -e
|
||||
|
||||
T800_HOST="t-800"
|
||||
T800_USER="juan"
|
||||
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
|
||||
|
||||
echo "=========================================="
|
||||
echo " Deploying Bark TTS to t-800"
|
||||
echo "=========================================="
|
||||
echo ""
|
||||
|
||||
# Check if SSH key exists
|
||||
if [ ! -f ~/.ssh/id_rsa.pub ]; then
|
||||
echo "SSH key not found. Generating one..."
|
||||
ssh-keygen -t rsa -b 4096 -f ~/.ssh/id_rsa -N "" -C "openccb_bark_deployment"
|
||||
echo ""
|
||||
echo "Now copy your SSH key to t-800:"
|
||||
echo " ssh-copy-id ${T800_USER}@${T800_HOST}"
|
||||
echo ""
|
||||
read -p "Press Enter after copying the key..."
|
||||
fi
|
||||
|
||||
# Copy installation script to t-800
|
||||
echo "Copying installation script to t-800..."
|
||||
scp "${SCRIPT_DIR}/install_bark_tts.sh" ${T800_USER}@${T800_HOST}:/tmp/install_bark_tts.sh
|
||||
|
||||
# Execute installation on t-800 with pseudo-terminal
|
||||
echo ""
|
||||
echo "Connecting to t-800 and installing Bark TTS..."
|
||||
echo "This may take 10-15 minutes depending on internet speed..."
|
||||
echo "You'll be prompted for your password..."
|
||||
echo ""
|
||||
|
||||
ssh -t ${T800_USER}@${T800_HOST} << 'ENDSSH'
|
||||
echo "Connected to t-800"
|
||||
echo "Hostname: $(hostname)"
|
||||
echo "Memory: $(free -h | grep Mem | awk '{print $2}')"
|
||||
echo "Disk: $(df -h / | tail -1 | awk '{print $4}') available"
|
||||
echo ""
|
||||
|
||||
# Install jq if not present
|
||||
if ! command -v jq &> /dev/null; then
|
||||
echo "Installing jq..."
|
||||
sudo apt-get update && sudo apt-get install -y jq
|
||||
fi
|
||||
|
||||
# Make script executable and run
|
||||
chmod +x /tmp/install_bark_tts.sh
|
||||
echo "Running Bark installation..."
|
||||
sudo /tmp/install_bark_tts.sh
|
||||
|
||||
# Clean up
|
||||
rm /tmp/install_bark_tts.sh
|
||||
|
||||
# Wait for service to be ready
|
||||
echo ""
|
||||
echo "Waiting for Bark API to be ready..."
|
||||
sleep 10
|
||||
|
||||
# Test the API
|
||||
echo "Testing Bark API..."
|
||||
if curl -s http://localhost:8443/health | jq . > /dev/null 2>&1; then
|
||||
echo "✅ Bark API is running!"
|
||||
curl -s http://localhost:8443/health | jq .
|
||||
else
|
||||
echo "⚠️ API may still be starting up..."
|
||||
echo "Check status with: sudo systemctl status bark-tts"
|
||||
echo "View logs with: sudo journalctl -u bark-tts -f"
|
||||
fi
|
||||
|
||||
echo ""
|
||||
echo "Bark TTS installation complete on t-800!"
|
||||
ENDSSH
|
||||
|
||||
echo ""
|
||||
echo "=========================================="
|
||||
echo " Deployment Complete!"
|
||||
echo "=========================================="
|
||||
echo ""
|
||||
echo "Next steps:"
|
||||
echo "1. Add BARK_API_URL to your .env file:"
|
||||
echo " BARK_API_URL=http://t-800:8443"
|
||||
echo ""
|
||||
echo "2. Test the API:"
|
||||
echo " curl 'http://t-800:8443/api/generate?text=Hello%20World&voice=v2/en_speaker_1' -o test.wav"
|
||||
echo ""
|
||||
echo "3. Generate audio for questions in OpenCCB:"
|
||||
echo " POST /question-bank/{id}/generate-audio"
|
||||
echo ""
|
||||
@@ -1,189 +0,0 @@
|
||||
#!/bin/bash
|
||||
# Fix Bark PyTorch 2.6+ compatibility issue
|
||||
# Run this on t-800
|
||||
|
||||
set -e
|
||||
|
||||
echo "=== Fixing Bark PyTorch 2.6+ Compatibility ==="
|
||||
echo ""
|
||||
|
||||
BARK_DIR="/opt/bark/bark"
|
||||
|
||||
# Backup original generation.py
|
||||
echo "[1/3] Backing up original generation.py..."
|
||||
cp $BARK_DIR/bark/generation.py $BARK_DIR/bark/generation.py.backup
|
||||
|
||||
# Patch generation.py to use weights_only=False
|
||||
echo "[2/3] Patching generation.py..."
|
||||
sed -i 's/torch.load(ckpt_path, map_location=device)/torch.load(ckpt_path, map_location=device, weights_only=False)/g' $BARK_DIR/bark/generation.py
|
||||
|
||||
# Create fixed bark_api.py
|
||||
echo "[3/3] Creating fixed bark_api.py..."
|
||||
cat > $BARK_DIR/bark/bark_api.py << 'PYEOF'
|
||||
"""
|
||||
Bark TTS API Server - Fixed for PyTorch 2.6+
|
||||
Simple FastAPI wrapper for Bark text-to-speech
|
||||
"""
|
||||
from fastapi import FastAPI, HTTPException, Query
|
||||
from fastapi.responses import StreamingResponse
|
||||
from bark import SAMPLE_RATE, generate_audio, preload_models
|
||||
from scipy.io.wavfile import write as write_wav
|
||||
import numpy as np
|
||||
import io
|
||||
import torch
|
||||
|
||||
# Fix PyTorch 2.6+ weights_only issue
|
||||
# This must be done BEFORE preload_models()
|
||||
print("Configuring PyTorch for Bark compatibility...")
|
||||
|
||||
app = FastAPI(
|
||||
title="Bark TTS API",
|
||||
description="Text-to-Speech API using Suno AI's Bark",
|
||||
version="1.0.0"
|
||||
)
|
||||
|
||||
# Preload models on startup (with warm-up)
|
||||
@app.on_event("startup")
|
||||
async def startup_event():
|
||||
print("Preloading Bark models...")
|
||||
try:
|
||||
preload_models()
|
||||
print("Models loaded successfully!")
|
||||
|
||||
# Warm-up with a short generation
|
||||
print("Warming up models with short generation...")
|
||||
from bark import generate_text_semantic
|
||||
text_semantic = generate_text_semantic("Hi", temp=0.7)
|
||||
print("Warm-up complete! API ready.")
|
||||
except Exception as e:
|
||||
print(f"ERROR loading models: {e}")
|
||||
raise
|
||||
|
||||
@app.get("/health")
|
||||
async def health_check():
|
||||
return {"status": "healthy", "service": "bark-tts"}
|
||||
|
||||
@app.get("/api/voices")
|
||||
async def list_voices():
|
||||
"""List available voice presets"""
|
||||
return {
|
||||
"voices": [
|
||||
{"id": "v2/en_speaker_0", "name": "English Speaker 0", "language": "en"},
|
||||
{"id": "v2/en_speaker_1", "name": "English Speaker 1", "language": "en"},
|
||||
{"id": "v2/en_speaker_6", "name": "English Speaker 6", "language": "en"},
|
||||
{"id": "v2/es_speaker_0", "name": "Spanish Speaker 0", "language": "es"},
|
||||
{"id": "v2/es_speaker_1", "name": "Spanish Speaker 1", "language": "es"},
|
||||
{"id": "v2/es_speaker_3", "name": "Spanish Speaker 3", "language": "es"},
|
||||
]
|
||||
}
|
||||
|
||||
@app.post("/api/generate")
|
||||
async def generate_speech(
|
||||
text: str = Query(..., min_length=1, max_length=500, description="Text to convert to speech"),
|
||||
voice: str = Query(default="v2/en_speaker_1", description="Voice preset to use"),
|
||||
speed: float = Query(default=1.0, ge=0.5, le=2.0, description="Speech speed multiplier"),
|
||||
output_format: str = Query(default="wav", regex="^(mp3|wav|ogg)$", description="Output audio format")
|
||||
):
|
||||
"""Generate speech from text using Bark TTS"""
|
||||
try:
|
||||
# Generate audio
|
||||
audio_array = generate_audio(text, history_prompt=voice)
|
||||
|
||||
# Apply speed adjustment if needed
|
||||
if speed != 1.0:
|
||||
new_length = int(len(audio_array) / speed)
|
||||
audio_array = audio_array[:new_length]
|
||||
|
||||
# Convert to bytes
|
||||
audio_buffer = io.BytesIO()
|
||||
write_wav(audio_buffer, SAMPLE_RATE, audio_array)
|
||||
audio_buffer.seek(0)
|
||||
|
||||
return StreamingResponse(
|
||||
audio_buffer,
|
||||
media_type="audio/wav",
|
||||
headers={
|
||||
"Content-Disposition": f"attachment; filename=speech.wav",
|
||||
"X-Voice-Used": voice,
|
||||
"X-Speed": str(speed),
|
||||
"X-Duration-Seconds": str(len(audio_array) / SAMPLE_RATE)
|
||||
}
|
||||
)
|
||||
|
||||
except Exception as e:
|
||||
print(f"Generation error: {e}")
|
||||
raise HTTPException(status_code=500, detail=str(e))
|
||||
|
||||
@app.post("/api/generate/batch")
|
||||
async def generate_batch_speech(
|
||||
texts: list[str] = Query(..., description="List of texts to convert"),
|
||||
voice: str = Query(default="v2/en_speaker_1", description="Voice preset"),
|
||||
speed: float = Query(default=1.0, description="Speech speed")
|
||||
):
|
||||
"""Generate multiple audio files in batch"""
|
||||
results = []
|
||||
|
||||
for i, text in enumerate(texts):
|
||||
try:
|
||||
audio_array = generate_audio(text, history_prompt=voice)
|
||||
|
||||
# Save to temp file
|
||||
import tempfile
|
||||
with tempfile.NamedTemporaryFile(suffix='.wav', delete=False) as f:
|
||||
write_wav(f.name, SAMPLE_RATE, audio_array)
|
||||
results.append({
|
||||
"index": i,
|
||||
"text": text,
|
||||
"duration_seconds": len(audio_array) / SAMPLE_RATE,
|
||||
"status": "success"
|
||||
})
|
||||
except Exception as e:
|
||||
results.append({
|
||||
"index": i,
|
||||
"text": text,
|
||||
"error": str(e),
|
||||
"status": "failed"
|
||||
})
|
||||
|
||||
return {"results": results}
|
||||
|
||||
if __name__ == "__main__":
|
||||
import uvicorn
|
||||
uvicorn.run(app, host="0.0.0.0", port=8000)
|
||||
PYEOF
|
||||
|
||||
# Fix ownership
|
||||
chown bark:bark $BARK_DIR/bark/generation.py
|
||||
chown bark:bark $BARK_DIR/bark/bark_api.py
|
||||
|
||||
echo ""
|
||||
echo "=== Patch Applied ==="
|
||||
echo ""
|
||||
echo "Restarting Bark service..."
|
||||
systemctl restart bark-tts
|
||||
|
||||
echo ""
|
||||
echo "Waiting for models to load (this takes 1-2 minutes)..."
|
||||
sleep 30
|
||||
|
||||
echo ""
|
||||
echo "Checking service status..."
|
||||
systemctl status bark-tts --no-pager
|
||||
|
||||
echo ""
|
||||
echo "Testing API..."
|
||||
if curl -s http://localhost:8443/health | jq . > /dev/null 2>&1; then
|
||||
echo "✅ Bark API is running!"
|
||||
curl -s http://localhost:8443/health | jq .
|
||||
else
|
||||
echo "⚠️ API is still loading models..."
|
||||
echo "Check logs with: journalctl -u bark-tts -f"
|
||||
fi
|
||||
|
||||
echo ""
|
||||
echo "=== Fix Complete ==="
|
||||
echo ""
|
||||
echo "If you see errors, check:"
|
||||
echo " 1. journalctl -u bark-tts -f"
|
||||
echo " 2. systemctl status bark-tts"
|
||||
echo ""
|
||||
@@ -1,208 +0,0 @@
|
||||
#!/bin/bash
|
||||
# Manual Bark TTS Installation for t-800
|
||||
# Run this ONCE on t-800 server
|
||||
|
||||
set -e
|
||||
|
||||
echo "=========================================="
|
||||
echo " Manual Bark TTS Installation"
|
||||
echo "=========================================="
|
||||
echo ""
|
||||
|
||||
# Check if running as root or with sudo
|
||||
if [ "$EUID" -ne 0 ]; then
|
||||
echo "Please run with: sudo ./install_bark_manual.sh"
|
||||
exit 1
|
||||
fi
|
||||
|
||||
echo "[1/6] Installing system dependencies..."
|
||||
apt-get update
|
||||
apt-get install -y python3 python3-pip python3-venv git ffmpeg curl jq
|
||||
|
||||
echo ""
|
||||
echo "[2/6] Creating bark user..."
|
||||
if ! id -u bark > /dev/null 2>&1; then
|
||||
useradd -r -m -s /bin/bash bark
|
||||
echo "User 'bark' created"
|
||||
else
|
||||
echo "User 'bark' already exists"
|
||||
fi
|
||||
|
||||
echo ""
|
||||
echo "[3/6] Setting up application directory..."
|
||||
BARK_DIR="/opt/bark"
|
||||
mkdir -p $BARK_DIR
|
||||
chown bark:bark $BARK_DIR
|
||||
|
||||
echo ""
|
||||
echo "[4/6] Cloning Bark repository..."
|
||||
cd $BARK_DIR
|
||||
su - bark -c "cd $BARK_DIR && git clone https://github.com/suno-ai/bark.git"
|
||||
chown -R bark:bark $BARK_DIR/bark
|
||||
|
||||
echo ""
|
||||
echo "[5/6] Creating Python virtual environment and installing dependencies..."
|
||||
cd $BARK_DIR/bark
|
||||
su - bark -c "cd $BARK_DIR/bark && python3 -m venv venv"
|
||||
su - bark -c "cd $BARK_DIR/bark && source venv/bin/activate && pip install --upgrade pip"
|
||||
su - bark -c "cd $BARK_DIR/bark && source venv/bin/activate && pip install -e ."
|
||||
su - bark -c "cd $BARK_DIR/bark && source venv/bin/activate && pip install fastapi uvicorn[standard] python-multipart numpy scipy"
|
||||
|
||||
echo ""
|
||||
echo "[6/6] Creating systemd service..."
|
||||
cat > /etc/systemd/system/bark-tts.service << EOF
|
||||
[Unit]
|
||||
Description=Bark TTS API Server
|
||||
After=network.target
|
||||
|
||||
[Service]
|
||||
Type=simple
|
||||
User=bark
|
||||
Group=bark
|
||||
WorkingDirectory=$BARK_DIR/bark
|
||||
Environment="PATH=$BARK_DIR/bark/venv/bin"
|
||||
ExecStart=$BARK_DIR/bark/venv/bin/uvicorn bark_api:app --host 0.0.0.0 --port 8443 --workers 1
|
||||
Restart=always
|
||||
RestartSec=10
|
||||
|
||||
# Memory limits
|
||||
MemoryMax=4G
|
||||
MemoryHigh=3G
|
||||
|
||||
# CPU limits
|
||||
CPUQuota=80%
|
||||
|
||||
[Install]
|
||||
WantedBy=multi-user.target
|
||||
EOF
|
||||
|
||||
# Create Bark API wrapper
|
||||
cat > $BARK_DIR/bark/bark_api.py << 'PYEOF'
|
||||
"""
|
||||
Bark TTS API Server
|
||||
Simple FastAPI wrapper for Bark text-to-speech
|
||||
"""
|
||||
from fastapi import FastAPI, HTTPException, Query
|
||||
from fastapi.responses import StreamingResponse
|
||||
from bark import SAMPLE_RATE, generate_audio, preload_models
|
||||
from scipy.io.wavfile import write as write_wav
|
||||
import numpy as np
|
||||
import io
|
||||
|
||||
app = FastAPI(
|
||||
title="Bark TTS API",
|
||||
description="Text-to-Speech API using Suno AI's Bark",
|
||||
version="1.0.0"
|
||||
)
|
||||
|
||||
# Preload models on startup
|
||||
print("Preloading Bark models...")
|
||||
preload_models()
|
||||
print("Models loaded!")
|
||||
|
||||
@app.get("/health")
|
||||
async def health_check():
|
||||
return {"status": "healthy", "service": "bark-tts"}
|
||||
|
||||
@app.get("/api/voices")
|
||||
async def list_voices():
|
||||
"""List available voice presets"""
|
||||
return {
|
||||
"voices": [
|
||||
{"id": "v2/en_speaker_0", "name": "English Speaker 0", "language": "en"},
|
||||
{"id": "v2/en_speaker_1", "name": "English Speaker 1", "language": "en"},
|
||||
{"id": "v2/en_speaker_6", "name": "English Speaker 6", "language": "en"},
|
||||
{"id": "v2/es_speaker_0", "name": "Spanish Speaker 0", "language": "es"},
|
||||
{"id": "v2/es_speaker_1", "name": "Spanish Speaker 1", "language": "es"},
|
||||
{"id": "v2/es_speaker_3", "name": "Spanish Speaker 3", "language": "es"},
|
||||
]
|
||||
}
|
||||
|
||||
@app.post("/api/generate")
|
||||
async def generate_speech(
|
||||
text: str = Query(..., min_length=1, max_length=500, description="Text to convert to speech"),
|
||||
voice: str = Query(default="v2/en_speaker_1", description="Voice preset to use"),
|
||||
speed: float = Query(default=1.0, ge=0.5, le=2.0, description="Speech speed multiplier"),
|
||||
output_format: str = Query(default="wav", regex="^(mp3|wav|ogg)$", description="Output audio format")
|
||||
):
|
||||
"""Generate speech from text using Bark TTS"""
|
||||
try:
|
||||
# Generate audio
|
||||
audio_array = generate_audio(text, history_prompt=voice)
|
||||
|
||||
# Apply speed adjustment if needed
|
||||
if speed != 1.0:
|
||||
new_length = int(len(audio_array) / speed)
|
||||
audio_array = audio_array[:new_length]
|
||||
|
||||
# Convert to bytes
|
||||
audio_buffer = io.BytesIO()
|
||||
write_wav(audio_buffer, SAMPLE_RATE, audio_array)
|
||||
audio_buffer.seek(0)
|
||||
|
||||
return StreamingResponse(
|
||||
audio_buffer,
|
||||
media_type="audio/wav",
|
||||
headers={
|
||||
"Content-Disposition": f"attachment; filename=speech.wav",
|
||||
"X-Voice-Used": voice,
|
||||
"X-Speed": str(speed),
|
||||
"X-Duration-Seconds": str(len(audio_array) / SAMPLE_RATE)
|
||||
}
|
||||
)
|
||||
|
||||
except Exception as e:
|
||||
raise HTTPException(status_code=500, detail=str(e))
|
||||
|
||||
if __name__ == "__main__":
|
||||
import uvicorn
|
||||
uvicorn.run(app, host="0.0.0.0", port=8000)
|
||||
PYEOF
|
||||
|
||||
chown bark:bark $BARK_DIR/bark/bark_api.py
|
||||
|
||||
echo ""
|
||||
echo "Enabling and starting service..."
|
||||
systemctl daemon-reload
|
||||
systemctl enable bark-tts
|
||||
systemctl start bark-tts
|
||||
|
||||
echo ""
|
||||
echo "=========================================="
|
||||
echo " Installation Complete!"
|
||||
echo "=========================================="
|
||||
echo ""
|
||||
echo "Service Status:"
|
||||
systemctl status bark-tts --no-pager
|
||||
echo ""
|
||||
echo "Waiting for Bark to preload models (this takes 1-2 minutes)..."
|
||||
sleep 30
|
||||
|
||||
echo ""
|
||||
echo "Testing API..."
|
||||
if curl -s http://localhost:8000/health | jq . > /dev/null 2>&1; then
|
||||
echo "✅ Bark API is running!"
|
||||
curl -s http://localhost:8000/health | jq .
|
||||
else
|
||||
echo "⚠️ API is starting up, models are loading..."
|
||||
echo "Check status with: systemctl status bark-tts"
|
||||
echo "View logs with: journalctl -u bark-tts -f"
|
||||
fi
|
||||
|
||||
echo ""
|
||||
echo "=========================================="
|
||||
echo " Next Steps"
|
||||
echo "=========================================="
|
||||
echo ""
|
||||
echo "1. Test the API:"
|
||||
echo " curl 'http://localhost:8000/api/generate?text=Hello%20World&voice=v2/en_speaker_1' -o test.wav"
|
||||
echo ""
|
||||
echo "2. Check service status anytime:"
|
||||
echo " systemctl status bark-tts"
|
||||
echo ""
|
||||
echo "3. View logs:"
|
||||
echo " journalctl -u bark-tts -f"
|
||||
echo ""
|
||||
echo "4. Restart service if needed:"
|
||||
echo " systemctl restart bark-tts"
|
||||
echo ""
|
||||
@@ -1,266 +0,0 @@
|
||||
#!/bin/bash
|
||||
# Bark TTS Installation Script for t-800 server
|
||||
# This script installs Suno AI's Bark text-to-speech system
|
||||
|
||||
set -e
|
||||
|
||||
echo "=========================================="
|
||||
echo " Bark TTS Installation - Server t-800"
|
||||
echo "=========================================="
|
||||
|
||||
# Check if running as root
|
||||
if [ "$EUID" -ne 0 ]; then
|
||||
echo "Please run as root (sudo ./install_bark.sh)"
|
||||
exit 1
|
||||
fi
|
||||
|
||||
# System requirements check
|
||||
echo "[1/8] Checking system requirements..."
|
||||
REQUIRED_RAM=8
|
||||
AVAILABLE_RAM=$(free -g | awk '/^Mem:/{print $2}')
|
||||
|
||||
if [ $AVAILABLE_RAM -lt $REQUIRED_RAM ]; then
|
||||
echo "WARNING: Bark requires at least ${REQUIRED_RAM}GB RAM (found: ${AVAILABLE_RAM}GB)"
|
||||
echo "Continuing anyway, but performance may be poor..."
|
||||
fi
|
||||
|
||||
# Update system packages
|
||||
echo "[2/8] Updating system packages..."
|
||||
apt-get update
|
||||
apt-get install -y python3 python3-pip python3-venv git ffmpeg curl
|
||||
|
||||
# Create bark user
|
||||
echo "[3/8] Creating bark user..."
|
||||
if ! id -u bark > /dev/null 2>&1; then
|
||||
useradd -r -m -s /bin/bash bark
|
||||
echo "User 'bark' created"
|
||||
else
|
||||
echo "User 'bark' already exists"
|
||||
fi
|
||||
|
||||
# Create application directory
|
||||
echo "[4/8] Setting up application directory..."
|
||||
BARK_DIR="/opt/bark"
|
||||
mkdir -p $BARK_DIR
|
||||
chown bark:bark $BARK_DIR
|
||||
|
||||
# Clone Bark repository
|
||||
echo "[5/8] Cloning Bark repository..."
|
||||
cd $BARK_DIR
|
||||
if [ ! -d "bark" ]; then
|
||||
su - bark -c "cd $BARK_DIR && git clone https://github.com/suno-ai/bark.git"
|
||||
chown -R bark:bark $BARK_DIR/bark
|
||||
else
|
||||
echo "Bark repository already exists, updating..."
|
||||
su - bark -c "cd $BARK_DIR/bark && git pull"
|
||||
fi
|
||||
|
||||
# Create virtual environment
|
||||
echo "[6/8] Creating Python virtual environment..."
|
||||
cd $BARK_DIR/bark
|
||||
su - bark -c "cd $BARK_DIR/bark && python3 -m venv venv"
|
||||
|
||||
# Install dependencies
|
||||
echo "[7/8] Installing Python dependencies..."
|
||||
su - bark -c "cd $BARK_DIR/bark && source venv/bin/activate && pip install --upgrade pip && pip install -e ."
|
||||
|
||||
# Additional dependencies for API server
|
||||
su - bark -c "source $BARK_DIR/bark/venv/bin/activate && pip install fastapi uvicorn[standard] python-multipart numpy scipy"
|
||||
|
||||
# Create systemd service
|
||||
echo "[8/8] Creating systemd service..."
|
||||
cat > /etc/systemd/system/bark-tts.service << EOF
|
||||
[Unit]
|
||||
Description=Bark TTS API Server
|
||||
After=network.target
|
||||
|
||||
[Service]
|
||||
Type=simple
|
||||
User=bark
|
||||
Group=bark
|
||||
WorkingDirectory=$BARK_DIR/bark
|
||||
Environment="PATH=$BARK_DIR/bark/venv/bin"
|
||||
ExecStart=$BARK_DIR/bark/venv/bin/uvicorn bark_api:app --host 0.0.0.0 --port 8000 --workers 1
|
||||
Restart=always
|
||||
RestartSec=10
|
||||
|
||||
# Memory limits
|
||||
MemoryMax=4G
|
||||
MemoryHigh=3G
|
||||
|
||||
# CPU limits
|
||||
CPUQuota=80%
|
||||
|
||||
[Install]
|
||||
WantedBy=multi-user.target
|
||||
EOF
|
||||
|
||||
# Create Bark API wrapper
|
||||
cat > $BARK_DIR/bark/bark_api.py << 'PYEOF'
|
||||
"""
|
||||
Bark TTS API Server
|
||||
Simple FastAPI wrapper for Bark text-to-speech
|
||||
"""
|
||||
from fastapi import FastAPI, HTTPException, Query
|
||||
from fastapi.responses import StreamingResponse, JSONResponse
|
||||
from bark import SAMPLE_RATE, generate_audio, preload_models
|
||||
from scipy.io.wavfile import write as write_wav
|
||||
import numpy as np
|
||||
import io
|
||||
import os
|
||||
import tempfile
|
||||
|
||||
app = FastAPI(
|
||||
title="Bark TTS API",
|
||||
description="Text-to-Speech API using Suno AI's Bark",
|
||||
version="1.0.0"
|
||||
)
|
||||
|
||||
# Preload models on startup
|
||||
print("Preloading Bark models...")
|
||||
preload_models()
|
||||
print("Models loaded!")
|
||||
|
||||
@app.get("/health")
|
||||
async def health_check():
|
||||
return {"status": "healthy", "service": "bark-tts"}
|
||||
|
||||
@app.get("/api/voices")
|
||||
async def list_voices():
|
||||
"""List available voice presets"""
|
||||
return {
|
||||
"voices": [
|
||||
{"id": "v2/en_speaker_0", "name": "English Speaker 0", "language": "en"},
|
||||
{"id": "v2/en_speaker_1", "name": "English Speaker 1", "language": "en"},
|
||||
{"id": "v2/en_speaker_2", "name": "English Speaker 2", "language": "en"},
|
||||
{"id": "v2/en_speaker_3", "name": "English Speaker 3", "language": "en"},
|
||||
{"id": "v2/en_speaker_4", "name": "English Speaker 4", "language": "en"},
|
||||
{"id": "v2/en_speaker_5", "name": "English Speaker 5", "language": "en"},
|
||||
{"id": "v2/en_speaker_6", "name": "English Speaker 6", "language": "en"},
|
||||
{"id": "v2/en_speaker_7", "name": "English Speaker 7", "language": "en"},
|
||||
{"id": "v2/en_speaker_8", "name": "English Speaker 8", "language": "en"},
|
||||
{"id": "v2/en_speaker_9", "name": "English Speaker 9", "language": "en"},
|
||||
{"id": "v2/es_speaker_0", "name": "Spanish Speaker 0", "language": "es"},
|
||||
{"id": "v2/es_speaker_1", "name": "Spanish Speaker 1", "language": "es"},
|
||||
{"id": "v2/es_speaker_2", "name": "Spanish Speaker 2", "language": "es"},
|
||||
{"id": "v2/es_speaker_3", "name": "Spanish Speaker 3", "language": "es"},
|
||||
{"id": "v2/es_speaker_4", "name": "Spanish Speaker 4", "language": "es"},
|
||||
{"id": "v2/es_speaker_5", "name": "Spanish Speaker 5", "language": "es"},
|
||||
{"id": "v2/es_speaker_6", "name": "Spanish Speaker 6", "language": "es"},
|
||||
{"id": "v2/es_speaker_7", "name": "Spanish Speaker 7", "language": "es"},
|
||||
{"id": "v2/es_speaker_8", "name": "Spanish Speaker 8", "language": "es"},
|
||||
{"id": "v2/es_speaker_9", "name": "Spanish Speaker 9", "language": "es"},
|
||||
]
|
||||
}
|
||||
|
||||
@app.post("/api/generate")
|
||||
async def generate_speech(
|
||||
text: str = Query(..., min_length=1, max_length=500, description="Text to convert to speech"),
|
||||
voice: str = Query(default="v2/en_speaker_1", description="Voice preset to use"),
|
||||
speed: float = Query(default=1.0, ge=0.5, le=2.0, description="Speech speed multiplier"),
|
||||
output_format: str = Query(default="mp3", regex="^(mp3|wav|ogg)$", description="Output audio format")
|
||||
):
|
||||
"""Generate speech from text using Bark TTS"""
|
||||
try:
|
||||
# Extract speaker number from voice preset
|
||||
parts = voice.split("_")
|
||||
if len(parts) >= 3:
|
||||
speaker = f"{parts[0]}_{parts[1]}_{parts[2]}"
|
||||
else:
|
||||
speaker = "v2/en_speaker_1"
|
||||
|
||||
# Generate audio
|
||||
audio_array = generate_audio(text, history_prompt=speaker)
|
||||
|
||||
# Apply speed adjustment if needed
|
||||
if speed != 1.0:
|
||||
# Simple speed adjustment by resampling
|
||||
new_length = int(len(audio_array) / speed)
|
||||
audio_array = audio_array[:new_length]
|
||||
|
||||
# Convert to bytes
|
||||
audio_buffer = io.BytesIO()
|
||||
write_wav(audio_buffer, SAMPLE_RATE, audio_array)
|
||||
audio_buffer.seek(0)
|
||||
|
||||
# For MP3 output, we'd need to add pydub/ffmpeg
|
||||
# For now, return WAV
|
||||
media_type = "audio/wav"
|
||||
filename = f"speech_{voice}.{output_format}"
|
||||
|
||||
return StreamingResponse(
|
||||
audio_buffer,
|
||||
media_type=media_type,
|
||||
headers={
|
||||
"Content-Disposition": f"attachment; filename={filename}",
|
||||
"X-Voice-Used": voice,
|
||||
"X-Speed": str(speed),
|
||||
"X-Duration-Seconds": str(len(audio_array) / SAMPLE_RATE)
|
||||
}
|
||||
)
|
||||
|
||||
except Exception as e:
|
||||
raise HTTPException(status_code=500, detail=str(e))
|
||||
|
||||
@app.post("/api/generate/batch")
|
||||
async def generate_batch_speech(
|
||||
texts: list[str] = Query(..., description="List of texts to convert"),
|
||||
voice: str = Query(default="v2/en_speaker_1", description="Voice preset"),
|
||||
speed: float = Query(default=1.0, description="Speech speed")
|
||||
):
|
||||
"""Generate multiple audio files in batch"""
|
||||
results = []
|
||||
|
||||
for i, text in enumerate(texts):
|
||||
try:
|
||||
audio_array = generate_audio(text, history_prompt=voice)
|
||||
|
||||
# Save to temp file
|
||||
with tempfile.NamedTemporaryFile(suffix='.wav', delete=False) as f:
|
||||
write_wav(f.name, SAMPLE_RATE, audio_array)
|
||||
results.append({
|
||||
"index": i,
|
||||
"text": text,
|
||||
"duration_seconds": len(audio_array) / SAMPLE_RATE,
|
||||
"status": "success"
|
||||
})
|
||||
except Exception as e:
|
||||
results.append({
|
||||
"index": i,
|
||||
"text": text,
|
||||
"error": str(e),
|
||||
"status": "failed"
|
||||
})
|
||||
|
||||
return JSONResponse(content={"results": results})
|
||||
|
||||
if __name__ == "__main__":
|
||||
import uvicorn
|
||||
uvicorn.run(app, host="0.0.0.0", port=8000)
|
||||
PYEOF
|
||||
|
||||
chown bark:bark $BARK_DIR/bark/bark_api.py
|
||||
|
||||
# Enable and start service
|
||||
systemctl daemon-reload
|
||||
systemctl enable bark-tts
|
||||
systemctl start bark-tts
|
||||
|
||||
echo ""
|
||||
echo "=========================================="
|
||||
echo " Installation Complete!"
|
||||
echo "=========================================="
|
||||
echo ""
|
||||
echo "Service Status:"
|
||||
systemctl status bark-tts --no-pager
|
||||
echo ""
|
||||
echo "API Endpoints:"
|
||||
echo " - Health: http://localhost:8000/health"
|
||||
echo " - Voices: http://localhost:8000/api/voices"
|
||||
echo " - Generate: http://localhost:8000/api/generate?text=Hello&voice=v2/en_speaker_1"
|
||||
echo ""
|
||||
echo "Usage Example:"
|
||||
echo " curl 'http://localhost:8000/api/generate?text=What%20color%20is%20the%20sky%3F&voice=v2/en_speaker_1' -o question.wav"
|
||||
echo ""
|
||||
echo "Logs: journalctl -u bark-tts -f"
|
||||
echo ""
|
||||
@@ -43,19 +43,11 @@ pub async fn create_question(
|
||||
.bind(payload.difficulty.as_deref().unwrap_or("medium"))
|
||||
.bind(payload.tags.as_deref())
|
||||
.bind(payload.skill_assessed.as_deref())
|
||||
.bind(payload.media_url.as_deref())
|
||||
.bind(payload.media_type.as_deref())
|
||||
.fetch_one(&pool)
|
||||
.await
|
||||
.map_err(|e| (StatusCode::INTERNAL_SERVER_ERROR, e.to_string()))?;
|
||||
|
||||
// If audio generation requested, trigger it asynchronously
|
||||
if payload.generate_audio.unwrap_or(false) {
|
||||
tokio::spawn(async move {
|
||||
let _ = generate_audio_for_question(question.id, pool.clone()).await;
|
||||
});
|
||||
}
|
||||
|
||||
Ok(Json(question))
|
||||
}
|
||||
|
||||
@@ -437,129 +429,6 @@ pub async fn import_from_mysql(
|
||||
Ok(Json(imported_questions))
|
||||
}
|
||||
|
||||
// ==================== Audio Generation ====================
|
||||
|
||||
/// POST /api/question-bank/{id}/generate-audio - Generate audio for a question using Bark
|
||||
pub async fn generate_audio(
|
||||
Org(org_ctx): Org,
|
||||
Path(id): Path<Uuid>,
|
||||
State(pool): State<PgPool>,
|
||||
payload: Option<Json<common::models::GenerateAudioPayload>>,
|
||||
) -> Result<StatusCode, (StatusCode, String)> {
|
||||
// Get question
|
||||
let question: QuestionBank = sqlx::query_as(
|
||||
"SELECT * FROM question_bank WHERE id = $1 AND organization_id = $2"
|
||||
)
|
||||
.bind(id)
|
||||
.bind(org_ctx.id)
|
||||
.fetch_one(&pool)
|
||||
.await
|
||||
.map_err(|e| match e {
|
||||
sqlx::Error::RowNotFound => (StatusCode::NOT_FOUND, "Question not found".to_string()),
|
||||
_ => (StatusCode::INTERNAL_SERVER_ERROR, e.to_string()),
|
||||
})?;
|
||||
|
||||
// Spawn async task for audio generation
|
||||
tokio::spawn(async move {
|
||||
let _ = generate_audio_for_question_with_params(id, pool, payload.map(|p| p.0)).await;
|
||||
});
|
||||
|
||||
Ok(StatusCode::ACCEPTED)
|
||||
}
|
||||
|
||||
async fn generate_audio_for_question(
|
||||
question_id: Uuid,
|
||||
pool: PgPool,
|
||||
) -> Result<(), String> {
|
||||
generate_audio_for_question_with_params(question_id, pool, None).await
|
||||
}
|
||||
|
||||
async fn generate_audio_for_question_with_params(
|
||||
question_id: Uuid,
|
||||
pool: PgPool,
|
||||
payload: Option<common::models::GenerateAudioPayload>,
|
||||
) -> Result<(), String> {
|
||||
use reqwest::Client;
|
||||
use serde_json::json;
|
||||
|
||||
// Get question text
|
||||
let question_text: String = sqlx::query_scalar("SELECT audio_text FROM question_bank WHERE id = $1")
|
||||
.bind(question_id)
|
||||
.fetch_optional(&pool)
|
||||
.await
|
||||
.map_err(|e| format!("Failed to get question: {}", e))?
|
||||
.unwrap_or_default();
|
||||
|
||||
let text = payload.as_ref().map(|p| p.text.clone()).unwrap_or(question_text);
|
||||
|
||||
// Update status to generating
|
||||
sqlx::query("UPDATE question_bank SET audio_status = 'generating' WHERE id = $1")
|
||||
.bind(question_id)
|
||||
.execute(&pool)
|
||||
.await
|
||||
.map_err(|e| format!("Failed to update status: {}", e))?;
|
||||
|
||||
// Call Bark TTS API
|
||||
let bark_url = std::env::var("BARK_API_URL").unwrap_or_else(|_| "http://localhost:8000".to_string());
|
||||
let client = Client::new();
|
||||
|
||||
let voice = payload.as_ref().and_then(|p| p.voice.clone()).unwrap_or_else(|| "v2/en_speaker_1".to_string());
|
||||
let speed = payload.as_ref().and_then(|p| p.speed).unwrap_or(1.0);
|
||||
|
||||
let response = client
|
||||
.post(&format!("{}/api/generate", bark_url))
|
||||
.json(&json!({
|
||||
"text": text,
|
||||
"voice": voice,
|
||||
"speed": speed,
|
||||
"output_format": "mp3"
|
||||
}))
|
||||
.send()
|
||||
.await
|
||||
.map_err(|e| format!("Bark API request failed: {}", e))?;
|
||||
|
||||
if !response.status().is_success() {
|
||||
sqlx::query("UPDATE question_bank SET audio_status = 'failed' WHERE id = $1")
|
||||
.bind(question_id)
|
||||
.execute(&pool)
|
||||
.await
|
||||
.map_err(|_| "Failed to update status".to_string())?;
|
||||
|
||||
return Err(format!("Bark API returned error: {}", response.status()));
|
||||
}
|
||||
|
||||
// Save audio file
|
||||
let audio_bytes = response.bytes().await.map_err(|e| format!("Failed to get audio bytes: {}", e))?;
|
||||
|
||||
// Save to uploads directory
|
||||
let filename = format!("question_{}.mp3", question_id);
|
||||
let file_path = format!("uploads/audio/{}", filename);
|
||||
|
||||
std::fs::create_dir_all("uploads/audio").map_err(|e| format!("Failed to create directory: {}", e))?;
|
||||
std::fs::write(&file_path, &audio_bytes).map_err(|e| format!("Failed to save audio: {}", e))?;
|
||||
|
||||
// Update question with audio URL
|
||||
let audio_url = format!("/audio/{}", filename);
|
||||
sqlx::query(
|
||||
"UPDATE question_bank SET audio_url = $1, audio_status = 'ready', audio_metadata = $2 WHERE id = $3"
|
||||
)
|
||||
.bind(&audio_url)
|
||||
.bind(&json!({
|
||||
"voice": voice,
|
||||
"speed": speed,
|
||||
"generated_at": chrono::Utc::now().to_rfc3339(),
|
||||
"file_size": audio_bytes.len(),
|
||||
}))
|
||||
.bind(question_id)
|
||||
.execute(&pool)
|
||||
.await
|
||||
.map_err(|e| format!("Failed to update question: {}", e))?;
|
||||
|
||||
tracing::info!("Generated audio for question {}", question_id);
|
||||
|
||||
Ok(())
|
||||
}
|
||||
|
||||
// ==================== Helpers ====================
|
||||
|
||||
fn map_mysql_question_type(mysql_type: i32) -> QuestionBankType {
|
||||
|
||||
@@ -96,7 +96,7 @@ async fn main() {
|
||||
});
|
||||
|
||||
let cors = CorsLayer::new()
|
||||
.allow_origin(Any)
|
||||
.allow_origin("http://localhost:3000".parse::<http::HeaderValue>().unwrap())
|
||||
.allow_methods([Method::GET, Method::POST, Method::PUT, Method::DELETE, Method::OPTIONS, Method::PATCH])
|
||||
.allow_headers([
|
||||
header::CONTENT_TYPE,
|
||||
@@ -104,7 +104,7 @@ async fn main() {
|
||||
header::HeaderName::from_static("x-requested-with"),
|
||||
header::HeaderName::from_static("x-organization-id"),
|
||||
])
|
||||
.expose_headers([header::CONTENT_LENGTH]);
|
||||
.expose_headers([header::CONTENT_LENGTH, header::CONTENT_TYPE]);
|
||||
|
||||
// Rate limiting: Deshabilitado temporalmente por problemas de compatibilidad con tower-governor
|
||||
// Para habilitar en producción, configurar con GovernorLayer y ajustar los límites apropiadamente
|
||||
@@ -343,10 +343,6 @@ async fn main() {
|
||||
"/question-bank/import-mysql",
|
||||
post(handlers_question_bank::import_from_mysql),
|
||||
)
|
||||
.route(
|
||||
"/question-bank/{id}/generate-audio",
|
||||
post(handlers_question_bank::generate_audio),
|
||||
)
|
||||
.route(
|
||||
"/question-bank/mysql-courses",
|
||||
get(handlers_question_bank::list_mysql_courses),
|
||||
@@ -392,10 +388,6 @@ async fn main() {
|
||||
.route(
|
||||
"/branding",
|
||||
get(handlers_branding::get_organization_branding),
|
||||
)
|
||||
.route(
|
||||
"/organization",
|
||||
get(handlers::get_public_organization),
|
||||
);
|
||||
|
||||
let public_routes = Router::new()
|
||||
|
||||
@@ -1408,7 +1408,6 @@ pub struct CreateQuestionBankPayload {
|
||||
pub tags: Option<Vec<String>>,
|
||||
pub media_url: Option<String>,
|
||||
pub media_type: Option<String>,
|
||||
pub generate_audio: Option<bool>,
|
||||
pub skill_assessed: Option<String>, // reading, listening, speaking, writing
|
||||
}
|
||||
|
||||
@@ -1433,13 +1432,6 @@ pub struct ImportQuestionFromMySQLPayload {
|
||||
pub import_all: Option<bool>, // Import all questions from MySQL
|
||||
}
|
||||
|
||||
#[derive(Debug, Serialize, Deserialize, Clone)]
|
||||
pub struct GenerateAudioPayload {
|
||||
pub text: String,
|
||||
pub voice: Option<String>, // Bark voice preset
|
||||
pub speed: Option<f32>,
|
||||
}
|
||||
|
||||
#[derive(Debug, Serialize, Deserialize, Clone)]
|
||||
pub struct QuestionBankFilters {
|
||||
pub question_type: Option<QuestionBankType>,
|
||||
|
||||
@@ -23,15 +23,15 @@ export default function AdminDashboard() {
|
||||
useEffect(() => {
|
||||
const fetchStats = async () => {
|
||||
try {
|
||||
// In a real app we'd have a specific stats endpoint,
|
||||
// In a real app we'd have a specific stats endpoint,
|
||||
// but for now we'll calculate from lists
|
||||
const [orgs, users] = await Promise.all([
|
||||
cmsApi.getOrganizations(),
|
||||
const [org, users] = await Promise.all([
|
||||
cmsApi.getOrganization(),
|
||||
cmsApi.getAllUsers()
|
||||
]);
|
||||
|
||||
setStats({
|
||||
orgs: orgs.length,
|
||||
orgs: 1, // Single tenant architecture
|
||||
users: users.length,
|
||||
courses: 0 // We'd need a global courses count
|
||||
});
|
||||
|
||||
@@ -29,12 +29,12 @@ export default function UsersPage() {
|
||||
|
||||
const loadData = async () => {
|
||||
try {
|
||||
const [usersData, orgsData] = await Promise.all([
|
||||
const [usersData, orgData] = await Promise.all([
|
||||
cmsApi.getAllUsers(),
|
||||
cmsApi.getOrganizations()
|
||||
cmsApi.getOrganization()
|
||||
]);
|
||||
setUsers(usersData);
|
||||
setOrganizations(orgsData);
|
||||
setOrganizations([orgData]); // Single tenant - wrap in array for compatibility
|
||||
} catch (error) {
|
||||
console.error('Failed to load data', error);
|
||||
} finally {
|
||||
|
||||
@@ -2,15 +2,14 @@
|
||||
|
||||
import React, { useState, useEffect } from 'react';
|
||||
import { questionBankApi, QuestionBank, QuestionBankFilters, QuestionBankType } from '@/lib/api';
|
||||
import {
|
||||
Plus, Search, Filter, Edit2, Trash2, Volume2, VolumeX, Download,
|
||||
import {
|
||||
Plus, Search, Filter, Edit2, Trash2, Download,
|
||||
Upload, Sparkles, ChevronDown, ChevronUp, X, Check, AlertCircle,
|
||||
Headphones, BookOpen, Tag, Hash, Globe
|
||||
} from 'lucide-react';
|
||||
import QuestionBankEditor from '@/components/QuestionBank/QuestionBankEditor';
|
||||
import QuestionBankCard from '@/components/QuestionBank/QuestionBankCard';
|
||||
import MySQLImportModal from '@/components/QuestionBank/MySQLImportModal';
|
||||
import AudioGeneratorModal from '@/components/QuestionBank/AudioGeneratorModal';
|
||||
|
||||
export default function QuestionBankPage() {
|
||||
const [questions, setQuestions] = useState<QuestionBank[]>([]);
|
||||
@@ -21,8 +20,6 @@ export default function QuestionBankPage() {
|
||||
const [showEditor, setShowEditor] = useState(false);
|
||||
const [editingQuestion, setEditingQuestion] = useState<QuestionBank | null>(null);
|
||||
const [showImportModal, setShowImportModal] = useState(false);
|
||||
const [showAudioModal, setShowAudioModal] = useState(false);
|
||||
const [selectedForAudio, setSelectedForAudio] = useState<string | null>(null);
|
||||
|
||||
const loadQuestions = async () => {
|
||||
try {
|
||||
@@ -67,17 +64,6 @@ export default function QuestionBankPage() {
|
||||
await loadQuestions();
|
||||
};
|
||||
|
||||
const handleAudioGenerate = (questionId: string) => {
|
||||
setSelectedForAudio(questionId);
|
||||
setShowAudioModal(true);
|
||||
};
|
||||
|
||||
const handleAudioSuccess = async () => {
|
||||
setShowAudioModal(false);
|
||||
setSelectedForAudio(null);
|
||||
await loadQuestions();
|
||||
};
|
||||
|
||||
const getQuestionTypeLabel = (type: QuestionBankType) => {
|
||||
const labels: Record<QuestionBankType, string> = {
|
||||
'multiple-choice': 'Opción Múltiple',
|
||||
@@ -311,7 +297,6 @@ export default function QuestionBankPage() {
|
||||
question={question}
|
||||
onEdit={() => handleEdit(question)}
|
||||
onDelete={() => handleDelete(question.id)}
|
||||
onGenerateAudio={() => handleAudioGenerate(question.id)}
|
||||
/>
|
||||
))}
|
||||
</div>
|
||||
@@ -337,18 +322,6 @@ export default function QuestionBankPage() {
|
||||
onCancel={() => setShowImportModal(false)}
|
||||
/>
|
||||
)}
|
||||
|
||||
{/* Audio Generator Modal */}
|
||||
{showAudioModal && selectedForAudio && (
|
||||
<AudioGeneratorModal
|
||||
questionId={selectedForAudio}
|
||||
onSuccess={handleAudioSuccess}
|
||||
onCancel={() => {
|
||||
setShowAudioModal(false);
|
||||
setSelectedForAudio(null);
|
||||
}}
|
||||
/>
|
||||
)}
|
||||
</div>
|
||||
);
|
||||
}
|
||||
|
||||
@@ -1,320 +0,0 @@
|
||||
'use client';
|
||||
|
||||
import React, { useState, useEffect } from 'react';
|
||||
import { questionBankApi, QuestionBank } from '@/lib/api';
|
||||
import { X, Volume2, Check, AlertCircle, Play, Pause } from 'lucide-react';
|
||||
|
||||
interface AudioGeneratorModalProps {
|
||||
questionId: string;
|
||||
onSuccess?: () => void;
|
||||
onCancel?: () => void;
|
||||
}
|
||||
|
||||
export default function AudioGeneratorModal({ questionId, onSuccess, onCancel }: AudioGeneratorModalProps) {
|
||||
const [question, setQuestion] = useState<QuestionBank | null>(null);
|
||||
const [loading, setLoading] = useState(true);
|
||||
const [generating, setGenerating] = useState(false);
|
||||
const [generated, setGenerated] = useState(false);
|
||||
const [error, setError] = useState<string | null>(null);
|
||||
const [isPlaying, setIsPlaying] = useState(false);
|
||||
const [audio, setAudio] = useState<HTMLAudioElement | null>(null);
|
||||
|
||||
const [voice, setVoice] = useState('v2/en_speaker_1');
|
||||
const [speed, setSpeed] = useState(1.0);
|
||||
const [customText, setCustomText] = useState('');
|
||||
|
||||
const voices = [
|
||||
{ id: 'v2/en_speaker_0', name: 'English Speaker 0', language: 'en' },
|
||||
{ id: 'v2/en_speaker_1', name: 'English Speaker 1', language: 'en' },
|
||||
{ id: 'v2/en_speaker_6', name: 'English Speaker 6', language: 'en' },
|
||||
{ id: 'v2/es_speaker_0', name: 'Spanish Speaker 0', language: 'es' },
|
||||
{ id: 'v2/es_speaker_1', name: 'Spanish Speaker 1', language: 'es' },
|
||||
{ id: 'v2/es_speaker_3', name: 'Spanish Speaker 3', language: 'es' },
|
||||
];
|
||||
|
||||
useEffect(() => {
|
||||
loadQuestion();
|
||||
}, [questionId]);
|
||||
|
||||
const loadQuestion = async () => {
|
||||
try {
|
||||
const data = await questionBankApi.get(questionId);
|
||||
setQuestion(data);
|
||||
setCustomText(data.question_text);
|
||||
} catch (error) {
|
||||
console.error('Failed to load question:', error);
|
||||
setError('No se pudo cargar la pregunta');
|
||||
} finally {
|
||||
setLoading(false);
|
||||
}
|
||||
};
|
||||
|
||||
const handleGenerate = async () => {
|
||||
try {
|
||||
setGenerating(true);
|
||||
setError(null);
|
||||
|
||||
await questionBankApi.generateAudio(questionId, customText, voice, speed);
|
||||
|
||||
// Poll for completion
|
||||
let attempts = 0;
|
||||
const maxAttempts = 30; // 30 seconds max
|
||||
|
||||
while (attempts < maxAttempts) {
|
||||
await new Promise(resolve => setTimeout(resolve, 1000));
|
||||
const updated = await questionBankApi.get(questionId);
|
||||
|
||||
if (updated.audio_status === 'ready') {
|
||||
setGenerated(true);
|
||||
setQuestion(updated);
|
||||
break;
|
||||
} else if (updated.audio_status === 'failed') {
|
||||
setError('Error al generar el audio');
|
||||
break;
|
||||
}
|
||||
|
||||
attempts++;
|
||||
}
|
||||
|
||||
if (attempts >= maxAttempts) {
|
||||
setError('Tiempo de espera agotado. El audio puede estar generándose aún.');
|
||||
}
|
||||
} catch (error: any) {
|
||||
console.error('Audio generation failed:', error);
|
||||
setError(error.message || 'Error al generar audio');
|
||||
} finally {
|
||||
setGenerating(false);
|
||||
}
|
||||
};
|
||||
|
||||
const handlePlay = () => {
|
||||
if (!question?.audio_url) return;
|
||||
|
||||
if (audio) {
|
||||
audio.remove();
|
||||
}
|
||||
|
||||
const audioEl = new Audio(question.audio_url);
|
||||
audioEl.onended = () => setIsPlaying(false);
|
||||
audioEl.onerror = () => {
|
||||
setIsPlaying(false);
|
||||
alert('Error al reproducir el audio');
|
||||
};
|
||||
|
||||
setAudio(audioEl);
|
||||
setIsPlaying(true);
|
||||
audioEl.play();
|
||||
};
|
||||
|
||||
const handleStop = () => {
|
||||
if (audio) {
|
||||
audio.pause();
|
||||
audio.currentTime = 0;
|
||||
}
|
||||
setIsPlaying(false);
|
||||
};
|
||||
|
||||
if (loading) {
|
||||
return (
|
||||
<div className="fixed inset-0 bg-black bg-opacity-50 flex items-center justify-center z-50 p-4">
|
||||
<div className="bg-white dark:bg-gray-800 rounded-lg max-w-lg w-full p-8 text-center">
|
||||
<div className="animate-spin rounded-full h-12 w-12 border-b-2 border-blue-600 mx-auto"></div>
|
||||
<p className="mt-4 text-gray-600 dark:text-gray-400">Cargando pregunta...</p>
|
||||
</div>
|
||||
</div>
|
||||
);
|
||||
}
|
||||
|
||||
return (
|
||||
<div className="fixed inset-0 bg-black bg-opacity-50 flex items-center justify-center z-50 p-4">
|
||||
<div className="bg-white dark:bg-gray-800 rounded-lg max-w-2xl w-full">
|
||||
{/* Header */}
|
||||
<div className="flex items-center justify-between p-6 border-b border-gray-200 dark:border-gray-700">
|
||||
<div className="flex items-center gap-3">
|
||||
<Volume2 className="w-6 h-6 text-blue-600" />
|
||||
<div>
|
||||
<h2 className="text-xl font-bold text-gray-900 dark:text-white">
|
||||
Generar Audio con Bark
|
||||
</h2>
|
||||
<p className="text-sm text-gray-500 dark:text-gray-400">
|
||||
Convierte el texto de la pregunta a audio
|
||||
</p>
|
||||
</div>
|
||||
</div>
|
||||
<button
|
||||
onClick={onCancel}
|
||||
className="p-2 hover:bg-gray-100 dark:hover:bg-gray-700 rounded-lg transition-colors"
|
||||
>
|
||||
<X className="w-5 h-5" />
|
||||
</button>
|
||||
</div>
|
||||
|
||||
{/* Content */}
|
||||
<div className="p-6 space-y-4">
|
||||
{/* Question Preview */}
|
||||
<div className="bg-gray-50 dark:bg-gray-700 rounded-lg p-4">
|
||||
<label className="block text-xs font-medium text-gray-500 dark:text-gray-400 mb-1">
|
||||
Texto de la pregunta
|
||||
</label>
|
||||
<p className="text-gray-900 dark:text-white text-sm">
|
||||
{question?.question_text}
|
||||
</p>
|
||||
</div>
|
||||
|
||||
{/* Custom Text */}
|
||||
<div>
|
||||
<label className="block text-sm font-medium text-gray-700 dark:text-gray-300 mb-1">
|
||||
Texto para audio (opcional)
|
||||
</label>
|
||||
<textarea
|
||||
value={customText}
|
||||
onChange={(e) => setCustomText(e.target.value)}
|
||||
rows={2}
|
||||
className="w-full px-3 py-2 border border-gray-300 dark:border-gray-600 rounded-lg focus:ring-2 focus:ring-blue-500 dark:bg-gray-700 dark:text-white"
|
||||
placeholder="Deja en blanco para usar el texto de la pregunta"
|
||||
/>
|
||||
<p className="text-xs text-gray-500 dark:text-gray-400 mt-1">
|
||||
Puedes personalizar el texto si quieres una pronunciación diferente
|
||||
</p>
|
||||
</div>
|
||||
|
||||
{/* Voice Selection */}
|
||||
<div>
|
||||
<label className="block text-sm font-medium text-gray-700 dark:text-gray-300 mb-1">
|
||||
Voz
|
||||
</label>
|
||||
<select
|
||||
value={voice}
|
||||
onChange={(e) => setVoice(e.target.value)}
|
||||
className="w-full px-3 py-2 border border-gray-300 dark:border-gray-600 rounded-lg focus:ring-2 focus:ring-blue-500 dark:bg-gray-700 dark:text-white"
|
||||
>
|
||||
{voices.map((v) => (
|
||||
<option key={v.id} value={v.id}>
|
||||
{v.name} ({v.language === 'en' ? 'Inglés' : 'Español'})
|
||||
</option>
|
||||
))}
|
||||
</select>
|
||||
</div>
|
||||
|
||||
{/* Speed */}
|
||||
<div>
|
||||
<label className="block text-sm font-medium text-gray-700 dark:text-gray-300 mb-1">
|
||||
Velocidad
|
||||
</label>
|
||||
<div className="flex items-center gap-3">
|
||||
<input
|
||||
type="range"
|
||||
min="0.5"
|
||||
max="2.0"
|
||||
step="0.1"
|
||||
value={speed}
|
||||
onChange={(e) => setSpeed(parseFloat(e.target.value))}
|
||||
className="flex-1"
|
||||
/>
|
||||
<span className="text-sm font-medium text-gray-700 dark:text-gray-300 w-12 text-right">
|
||||
{speed.toFixed(1)}x
|
||||
</span>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
{/* Audio Preview */}
|
||||
{question?.audio_status === 'ready' && question.audio_url && (
|
||||
<div className="bg-green-50 dark:bg-green-900/20 border border-green-200 dark:border-green-800 rounded-lg p-4">
|
||||
<div className="flex items-center justify-between">
|
||||
<div className="flex items-center gap-3">
|
||||
<div className="w-10 h-10 bg-green-100 dark:bg-green-900/40 rounded-full flex items-center justify-center">
|
||||
<Volume2 className="w-5 h-5 text-green-600" />
|
||||
</div>
|
||||
<div>
|
||||
<p className="text-sm font-medium text-green-900 dark:text-green-100">
|
||||
Audio generado
|
||||
</p>
|
||||
<p className="text-xs text-green-700 dark:text-green-300">
|
||||
Haz click para escuchar
|
||||
</p>
|
||||
</div>
|
||||
</div>
|
||||
<button
|
||||
onClick={isPlaying ? handleStop : handlePlay}
|
||||
className="flex items-center gap-2 px-4 py-2 bg-green-600 text-white rounded-lg hover:bg-green-700 transition-colors"
|
||||
>
|
||||
{isPlaying ? <Pause className="w-4 h-4" /> : <Play className="w-4 h-4" />}
|
||||
{isPlaying ? 'Detener' : 'Reproducir'}
|
||||
</button>
|
||||
</div>
|
||||
</div>
|
||||
)}
|
||||
|
||||
{/* Generating Status */}
|
||||
{generating && (
|
||||
<div className="bg-blue-50 dark:bg-blue-900/20 border border-blue-200 dark:border-blue-800 rounded-lg p-4">
|
||||
<div className="flex items-center gap-3">
|
||||
<div className="animate-spin rounded-full h-5 w-5 border-b-2 border-blue-600"></div>
|
||||
<div>
|
||||
<p className="text-sm font-medium text-blue-900 dark:text-blue-100">
|
||||
Generando audio...
|
||||
</p>
|
||||
<p className="text-xs text-blue-700 dark:text-blue-300">
|
||||
Esto puede tomar unos segundos
|
||||
</p>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
)}
|
||||
|
||||
{/* Error Message */}
|
||||
{error && (
|
||||
<div className="bg-red-50 dark:bg-red-900/20 border border-red-200 dark:border-red-800 rounded-lg p-4 flex items-center gap-3">
|
||||
<AlertCircle className="w-5 h-5 text-red-600" />
|
||||
<div>
|
||||
<p className="text-sm font-medium text-red-900 dark:text-red-100">
|
||||
Error
|
||||
</p>
|
||||
<p className="text-xs text-red-700 dark:text-red-300">
|
||||
{error}
|
||||
</p>
|
||||
</div>
|
||||
</div>
|
||||
)}
|
||||
|
||||
{/* Success Message */}
|
||||
{generated && (
|
||||
<div className="bg-green-50 dark:bg-green-900/20 border border-green-200 dark:border-green-800 rounded-lg p-4 flex items-center gap-3">
|
||||
<Check className="w-5 h-5 text-green-600" />
|
||||
<div>
|
||||
<p className="text-sm font-medium text-green-900 dark:text-green-100">
|
||||
¡Audio generado exitosamente!
|
||||
</p>
|
||||
<p className="text-xs text-green-700 dark:text-green-300">
|
||||
El audio está disponible para los estudiantes
|
||||
</p>
|
||||
</div>
|
||||
</div>
|
||||
)}
|
||||
</div>
|
||||
|
||||
{/* Actions */}
|
||||
<div className="p-6 border-t border-gray-200 dark:border-gray-700 flex items-center justify-end gap-3">
|
||||
<button
|
||||
type="button"
|
||||
onClick={onCancel}
|
||||
disabled={generating}
|
||||
className="px-4 py-2 border border-gray-300 dark:border-gray-600 text-gray-700 dark:text-gray-300 rounded-lg hover:bg-gray-50 dark:hover:bg-gray-700 transition-colors disabled:opacity-50"
|
||||
>
|
||||
{generated ? 'Cerrar' : 'Cancelar'}
|
||||
</button>
|
||||
{!question?.audio_url && (
|
||||
<button
|
||||
onClick={handleGenerate}
|
||||
disabled={generating || generated}
|
||||
className="px-4 py-2 bg-blue-600 text-white rounded-lg hover:bg-blue-700 transition-colors flex items-center gap-2 disabled:opacity-50"
|
||||
>
|
||||
<Volume2 className="w-4 h-4" />
|
||||
{generating ? 'Generando...' : 'Generar Audio'}
|
||||
</button>
|
||||
)}
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
);
|
||||
}
|
||||
@@ -2,6 +2,7 @@
|
||||
|
||||
import React, { useState, useEffect } from 'react';
|
||||
import { X, Download, Database, Check, AlertCircle, Upload, FileSpreadsheet } from 'lucide-react';
|
||||
import { apiFetch } from '@/lib/api';
|
||||
import ExcelImportModal from './ExcelImportModal';
|
||||
|
||||
interface MySQLImportModalProps {
|
||||
@@ -23,17 +24,13 @@ export default function MySQLImportModal({ onSuccess, onCancel }: MySQLImportMod
|
||||
try {
|
||||
setImporting(true);
|
||||
setError(null);
|
||||
|
||||
const result = await fetch(`${process.env.NEXT_PUBLIC_CMS_API_URL || 'http://localhost:3001'}/question-bank/import-mysql-all`, {
|
||||
|
||||
const result = await apiFetch('/question-bank/import-mysql-all', {
|
||||
method: 'POST',
|
||||
headers: {
|
||||
'Authorization': `Bearer ${localStorage.getItem('token')}`,
|
||||
'Content-Type': 'application/json',
|
||||
},
|
||||
}).then(r => r.json());
|
||||
|
||||
});
|
||||
|
||||
setImportResult(result);
|
||||
|
||||
|
||||
setTimeout(() => {
|
||||
onSuccess?.();
|
||||
}, 1500);
|
||||
|
||||
@@ -2,16 +2,15 @@
|
||||
|
||||
import React, { useState } from 'react';
|
||||
import { QuestionBank } from '@/lib/api';
|
||||
import { Edit2, Trash2, Volume2, VolumeX, Sparkles, Globe, MoreVertical, Play, Pause } from 'lucide-react';
|
||||
import { Edit2, Trash2, Volume2, Sparkles, Globe } from 'lucide-react';
|
||||
|
||||
interface QuestionBankCardProps {
|
||||
question: QuestionBank;
|
||||
onEdit: () => void;
|
||||
onDelete: () => void;
|
||||
onGenerateAudio: () => void;
|
||||
}
|
||||
|
||||
export default function QuestionBankCard({ question, onEdit, onDelete, onGenerateAudio }: QuestionBankCardProps) {
|
||||
export default function QuestionBankCard({ question, onEdit, onDelete }: QuestionBankCardProps) {
|
||||
const [isPlaying, setIsPlaying] = useState(false);
|
||||
const [audio, setAudio] = useState<HTMLAudioElement | null>(null);
|
||||
|
||||
@@ -87,21 +86,13 @@ export default function QuestionBankCard({ question, onEdit, onDelete, onGenerat
|
||||
</div>
|
||||
</div>
|
||||
<div className="flex items-center gap-1">
|
||||
{question.audio_status === 'ready' ? (
|
||||
{question.audio_url && (
|
||||
<button
|
||||
onClick={isPlaying ? handleStopAudio : handlePlayAudio}
|
||||
className="p-1.5 text-green-600 hover:bg-green-50 dark:hover:bg-green-900/20 rounded transition-colors"
|
||||
title={isPlaying ? 'Detener audio' : 'Reproducir audio'}
|
||||
>
|
||||
{isPlaying ? <Pause className="w-4 h-4" /> : <Volume2 className="w-4 h-4" />}
|
||||
</button>
|
||||
) : (
|
||||
<button
|
||||
onClick={onGenerateAudio}
|
||||
className="p-1.5 text-gray-400 hover:text-blue-600 hover:bg-blue-50 dark:hover:bg-blue-900/20 rounded transition-colors"
|
||||
title="Generar audio"
|
||||
>
|
||||
<VolumeX className="w-4 h-4" />
|
||||
<Volume2 className="w-4 h-4" />
|
||||
</button>
|
||||
)}
|
||||
<button
|
||||
@@ -175,14 +166,6 @@ export default function QuestionBankCard({ question, onEdit, onDelete, onGenerat
|
||||
</div>
|
||||
)}
|
||||
</div>
|
||||
{question.audio_status === 'ready' && (
|
||||
<span className="text-xs text-green-600 dark:text-green-400 flex items-center gap-1">
|
||||
<Volume2 className="w-3 h-3" /> Audio listo
|
||||
</span>
|
||||
)}
|
||||
{question.audio_status === 'generating' && (
|
||||
<span className="text-xs text-yellow-600 dark:text-yellow-400">Generando audio...</span>
|
||||
)}
|
||||
</div>
|
||||
|
||||
{/* Usage Stats */}
|
||||
|
||||
@@ -22,7 +22,6 @@ export default function QuestionBankEditor({ question, onSuccess, onCancel }: Qu
|
||||
tags: question?.tags || [],
|
||||
media_url: question?.media_url,
|
||||
media_type: question?.media_type,
|
||||
generate_audio: false,
|
||||
skill_assessed: question?.skill_assessed,
|
||||
});
|
||||
|
||||
@@ -499,21 +498,6 @@ export default function QuestionBankEditor({ question, onSuccess, onCancel }: Qu
|
||||
</div>
|
||||
)}
|
||||
|
||||
{/* Audio Generation Option */}
|
||||
<div className="flex items-center gap-3 p-3 bg-green-50 dark:bg-green-900/20 border border-green-200 dark:border-green-800 rounded-lg">
|
||||
<input
|
||||
type="checkbox"
|
||||
id="generate_audio"
|
||||
checked={formData.generate_audio}
|
||||
onChange={(e) => setFormData({ ...formData, generate_audio: e.target.checked })}
|
||||
className="w-4 h-4 text-green-600 rounded"
|
||||
/>
|
||||
<label htmlFor="generate_audio" className="flex items-center gap-2 text-sm text-green-800 dark:text-green-200">
|
||||
<Volume2 className="w-4 h-4" />
|
||||
Generar audio automáticamente con Bark después de guardar
|
||||
</label>
|
||||
</div>
|
||||
|
||||
{/* Actions */}
|
||||
<div className="flex items-center justify-end gap-3 pt-6 border-t border-gray-200 dark:border-gray-700 sticky bottom-0 bg-white dark:bg-gray-800 -mx-6 px-6 py-4">
|
||||
<button
|
||||
|
||||
@@ -594,7 +594,7 @@ interface ApiFetchOptions extends RequestInit {
|
||||
query?: Record<string, string | number | boolean | undefined | null>;
|
||||
}
|
||||
|
||||
const apiFetch = (url: string, options: ApiFetchOptions = {}, isLms: boolean = false) => {
|
||||
export const apiFetch = (url: string, options: ApiFetchOptions = {}, isLms: boolean = false) => {
|
||||
const token = getToken();
|
||||
const selectedOrgId = getSelectedOrgId();
|
||||
const baseUrl = isLms ? LMS_API_BASE_URL : API_BASE_URL;
|
||||
@@ -654,6 +654,7 @@ export const cmsApi = {
|
||||
},
|
||||
getSSOConfig: (): Promise<OrganizationSSOConfig> => apiFetch('/organization/sso'),
|
||||
updateSSOConfig: (payload: Partial<OrganizationSSOConfig>): Promise<void> => apiFetch('/organization/sso', { method: 'PUT', body: JSON.stringify(payload) }),
|
||||
getOrganization: (): Promise<Organization> => apiFetch('/organization'),
|
||||
|
||||
// Auth
|
||||
register: (payload: AuthPayload): Promise<AuthResponse> => apiFetch('/auth/register', { method: 'POST', body: JSON.stringify(payload) }),
|
||||
@@ -980,7 +981,6 @@ export interface CreateQuestionBankPayload {
|
||||
tags?: string[];
|
||||
media_url?: string;
|
||||
media_type?: string;
|
||||
generate_audio?: boolean;
|
||||
skill_assessed?: string;
|
||||
audio_url?: string;
|
||||
audio_text?: string;
|
||||
@@ -1015,8 +1015,6 @@ export const questionBankApi = {
|
||||
apiFetch(`/question-bank/${id}`, { method: 'DELETE' }, false),
|
||||
importFromMySQL: (courseId?: number, questionIds?: number[], importAll?: boolean): Promise<QuestionBank[]> =>
|
||||
apiFetch('/question-bank/import-mysql', { method: 'POST', body: JSON.stringify({ mysql_course_id: courseId, question_ids: questionIds, import_all: importAll }) }, false),
|
||||
generateAudio: (id: string, text?: string, voice?: string, speed?: number): Promise<void> =>
|
||||
apiFetch(`/question-bank/${id}/generate-audio`, { method: 'POST', body: JSON.stringify({ text, voice, speed }) }, false),
|
||||
};
|
||||
|
||||
export const lmsApi = {
|
||||
|
||||
Reference in New Issue
Block a user