app.py

from flask import Flask, send_from_directory, request, jsonify, render_template
from flask_cors import CORS
import os
from pathlib import Path
from audio_utils import AudioUtils
import logging
import google.generativeai as genai
import yaml
from inference import InferenceManager
from chat_log import ChatLogger
from dotenv import load_dotenv

# Configurar logging
logging.basicConfig(level=logging.DEBUG)
logger = logging.getLogger(__name__)

app = Flask(__name__)
CORS(app)

# Cargar variables de entorno
load_dotenv()
GOOGLE_API_KEY = os.getenv('GOOGLE_API_KEY')

# Cargar configuración
with open('config.yaml', 'r') as file:
    config = yaml.safe_load(file)

# Inicializar componentes con mensajes
try:
    logger.info("Iniciando sistema...")
    
    logger.info("Configurando API de Google...")
    genai.configure(api_key=GOOGLE_API_KEY)
    
    logger.info("Inicializando sistema de inferencia...")
    inference = InferenceManager()
    
    logger.info("Inicializando registro de chat...")
    chat_logger = ChatLogger()
    
    logger.info("Inicializando sistema de audio...")
    audio_utils = AudioUtils()
    
    logger.info("Sistema iniciado correctamente")
except Exception as e:
    logger.error(f"Error crítico inicializando el sistema: {e}")
    raise e

# Configurar el directorio de archivos temporales
TEMP_AUDIO_DIR = Path("static/temp_audio")
TEMP_AUDIO_DIR.mkdir(parents=True, exist_ok=True)

# Configurar el modelo
model = genai.GenerativeModel('gemini-pro')

@app.after_request
def after_request(response):
    # Agregar headers necesarios para ngrok
    response.headers.add('Accept-Ranges', 'bytes')
    response.headers.add('Access-Control-Allow-Origin', '*')
    logger.debug(f"Response headers: {dict(response.headers)}")
    return response

@app.route('/temp_audio/<path:filename>')
def serve_audio(filename):
    try:
        logger.info(f"Attempting to serve audio file: {filename}")
        file_path = TEMP_AUDIO_DIR / filename
        
        if not file_path.exists():
            logger.error(f"File not found: {file_path}")
            return jsonify({'error': 'File not found'}), 404
            
        if not filename.endswith(('.wav', '.mp3')):
            logger.error(f"Invalid file format: {filename}")
            return jsonify({'error': 'Invalid file format'}), 400
        
        logger.info(f"Serving file from: {file_path}")
        response = send_from_directory(str(TEMP_AUDIO_DIR), filename)
        response.headers['Content-Type'] = 'audio/wav' if filename.endswith('.wav') else 'audio/mpeg'
        response.headers['Cache-Control'] = 'no-cache'
        return response
        
    except Exception as e:
        logger.error(f"Error serving audio file: {e}", exc_info=True)
        return jsonify({'error': str(e)}), 500

@app.route('/generate_audio', methods=['POST'])
def generate_audio():
    try:
        text = request.json.get('text')
        model = request.json.get('model', 'EDGE')  # EDGE como default
        logger.info(f"Generando audio para texto: '{text}' usando modelo: {model}")
        
        if not text:
            logger.error("No se proporcionó texto")
            return jsonify({'error': 'No text provided'}), 400
        
        try:
            temp_audio_utils = AudioUtils(model_name=model)
            audio_file = temp_audio_utils.text_to_speech(text, return_file=True)
            
            if not audio_file:
                logger.error(f"Fallo al generar audio con {model}, intentando con EDGE")
                temp_audio_utils = AudioUtils(model_name='EDGE')
                audio_file = temp_audio_utils.text_to_speech(text, return_file=True)
        except Exception as e:
            logger.error(f"Error con modelo {model}, usando EDGE: {e}")
            temp_audio_utils = AudioUtils(model_name='EDGE')
            audio_file = temp_audio_utils.text_to_speech(text, return_file=True)
        
        if audio_file:
            audio_url = f'/temp_audio/{audio_file}'
            logger.info(f"Audio generado: {audio_url}")
            
            file_path = TEMP_AUDIO_DIR / audio_file
            if not file_path.exists():
                logger.error(f"Archivo no encontrado: {file_path}")
                return jsonify({
                    'error': 'Generated file not found',
                    'details': 'El archivo de audio no se generó correctamente'
                }), 500
                
            return jsonify({
                'audio_url': audio_url,
                'model_used': temp_audio_utils.current_model
            })
        
        return jsonify({
            'error': 'Failed to generate audio',
            'details': 'No se pudo generar el audio con ningún modelo'
        }), 500
        
    except Exception as e:
        logger.error(f"Error crítico generando audio: {e}", exc_info=True)
        return jsonify({
            'error': str(e),
            'details': 'Error interno del servidor al generar audio'
        }), 500

@app.route('/static/<path:path>')
def send_static(path):
    logger.debug(f"Serving static file: {path}")
    return send_from_directory('static', path)

@app.route('/')
def home():
    return render_template('chat.html')

@app.route('/chat', methods=['POST'])
def chat():
    try:
        data = request.json
        message = data.get('message', '')
        mode = data.get('mode', 'seguros')
        
        # Actualizar modo si es necesario
        if mode != inference.current_mode:
            inference.change_mode(mode)
        
        response = inference.get_response(message)
        return jsonify({'response': response})
    except Exception as e:
        return jsonify({'error': str(e)}), 500

@app.route('/change_mode', methods=['POST'])
def change_mode():
    try:
        mode = request.json.get('mode')
        success = inference.change_mode(mode)
        return jsonify({'success': success})
    except Exception as e:
        return jsonify({'error': str(e)}), 500

@app.route('/change_model', methods=['POST'])
def change_model():
    try:
        model = request.json.get('model')
        success = inference.change_model(model)
        return jsonify({'success': success})
    except Exception as e:
        return jsonify({'error': str(e)}), 500

@app.route('/change_tts', methods=['POST'])
def change_tts():
    try:
        model = request.json.get('model')
        if model not in ['EDGE', 'VITS', 'gTTS']:
            return jsonify({'error': 'Invalid TTS model'}), 400
            
        # Actualizar modelo TTS
        audio_utils = AudioUtils(model_name=model)
        
        return jsonify({'success': True})
    except Exception as e:
        logger.error(f"Error changing TTS model: {e}")
        return jsonify({'error': str(e)}), 500

if __name__ == "__main__":
    try:
        logger.info("Iniciando servidor...")
        # Cambiar para que funcione en Hugging Face Spaces
        app.run(host='0.0.0.0', port=7860)  # Puerto estándar de Spaces
    except Exception as e:
        logger.error(f"Error al iniciar la aplicación: {e}", exc_info=True)