app.py

import os
import math
import tempfile
import logging
from PIL import Image
from pydub import AudioSegment
from moviepy.editor import (
    VideoFileClip, AudioFileClip, ImageClip,
    concatenate_videoclips, CompositeVideoClip
)
import edge_tts
import gradio as gr
import asyncio

# PATCH PARA PILLOW 10+
Image.ANTIALIAS = Image.Resampling.LANCZOS

# CONFIGURACIÓN
INTRO_VIDEO = "introvideo.mp4"
OUTRO_VIDEO = "outrovideo.mp4"
MUSIC_BG = "musicafondo.mp3"
FX_SOUND = "fxsound.mp3"
WATERMARK = "watermark.png"

# Validar archivos
for file in [INTRO_VIDEO, OUTRO_VIDEO, MUSIC_BG, FX_SOUND, WATERMARK]:
    if not os.path.exists(file):
        raise FileNotFoundError(f"Falta: {file}")

async def procesar_audio(texto, voz, duracion_total):
    try:
        communicate = edge_tts.Communicate(texto, voz)
        
        # Generar TTS en WAV (formato sin compresión)
        with tempfile.NamedTemporaryFile(delete=False, suffix=".wav") as tmp_wav:
            await communicate.save(tmp_wav.name)
            tts_audio = AudioSegment.from_wav(tmp_wav.name)
        
        # Preparar música de fondo en loop
        bg_music = AudioSegment.from_mp3(MUSIC_BG) - 10  # 10% volumen
        repeticiones = math.ceil(duracion_total * 1000 / len(bg_music))
        bg_music_loop = bg_music * repeticiones
        bg_music_final = bg_music_loop[:duracion_total*1000].fade_out(3000)
        
        # Combinar TTS (después de la intro) con música
        intro_duration = VideoFileClip(INTRO_VIDEO).duration * 1000  # Duración en ms
        audio_final = bg_music_final.overlay(tts_audio, position=intro_duration)
        
        # Exportar directamente como MP3 con parámetros robustos
        with tempfile.NamedTemporaryFile(delete=False, suffix=".mp3") as tmp_mp3:
            audio_final.export(
                tmp_mp3.name,
                format="mp3",
                parameters=["-ac", "2", "-ar", "44100", "-b:a", "320k"]
            )
            return tmp_mp3.name
    except Exception as e:
        logging.error(f"Error procesando audio: {e}")
        raise

def cortar_video(video_path, metodo="inteligente", duracion=10):
    try:
        video = VideoFileClip(video_path)
        if metodo == "manual":
            return [
                video.subclip(i*duracion, (i+1)*duracion)
                for i in range(math.ceil(video.duration/duracion))
            ]
        
        # Simulación de cortes automáticos
        clips = []
        ultimo_corte = 0
        for i in range(1, math.ceil(video.duration)):
            if i % 5 == 0:  # Simulación de pausas
                clips.append(video.subclip(ultimo_corte, i))
                ultimo_corte = i
        return clips if clips else [video]
    except Exception as e:
        logging.error(f"Error cortando video: {e}")
        raise

def agregar_transiciones(clips):
    try:
        fx_audio = AudioFileClip(FX_SOUND).set_duration(2.5)
        transicion = ImageClip(WATERMARK).set_duration(2.5).resize(height=clips[0].h).set_position(("center", 0.1))
        
        clips_con_fx = []
        for i, clip in enumerate(clips):
            # Agregar watermark
            clip_watermarked = CompositeVideoClip([clip, transicion])
            clips_con_fx.append(clip_watermarked)
            
            # Agregar transición entre clips
            if i < len(clips)-1:
                clips_con_fx.append(
                    CompositeVideoClip([transicion.set_position("center")])
                    .set_audio(fx_audio)
                )
        return concatenate_videoclips(clips_con_fx)
    except Exception as e:
        logging.error(f"Error en transiciones: {e}")
        raise

async def procesar_video(
    video_input,
    texto_tts,
    voz_seleccionada,
    metodo_corte,
    duracion_corte
):
    temp_files = []
    try:
        # Procesar video principal
        clips = cortar_video(video_input, metodo_corte, duracion_corte)
        video_editado = agregar_transiciones(clips)
        
        # Agregar intro/outro
        intro = VideoFileClip(INTRO_VIDEO)
        outro = VideoFileClip(OUTRO_VIDEO)
        video_final = concatenate_videoclips([intro, video_editado, outro])
        
        # Calcular duración total para la música
        duracion_total = video_final.duration
        
        # Generar audio (música en loop + TTS después de intro)
        audio_mix_path = await procesar_audio(texto_tts, voz_seleccionada, duracion_total)
        
        # Combinar video y audio
        video_final = video_final.set_audio(AudioFileClip(audio_mix_path))
        
        # Renderizar
        with tempfile.NamedTemporaryFile(delete=False, suffix=".mp4") as tmp_out:
            video_final.write_videofile(
                tmp_out.name,
                codec="libx264",
                audio_codec="aac",
                fps=24
            )
            temp_files.append(tmp_out.name)
            return tmp_out.name
    except Exception as e:
        logging.error(f"Error general: {e}")
        raise
    finally:
        # Eliminar archivos temporales
        for file in temp_files + [getattr(video_input, 'name', None)]:
            try:
                if file and os.path.exists(file):
                    os.remove(file)
            except Exception as e:
                logging.warning(f"Error eliminando {file}: {e}")

# Interfaz Gradio
with gr.Blocks() as demo:
    gr.Markdown("# Video Editor IA")
    
    with gr.Tab("Principal"):
        video_input = gr.Video(label="Subir video")
        texto_tts = gr.Textbox(label="Texto para TTS", lines=3)
        voz_seleccionada = gr.Dropdown(
            label="Voz",
            choices=["es-ES-AlvaroNeural", "es-MX-BeatrizNeural"]
        )
        procesar_btn = gr.Button("Generar Video")
        video_output = gr.Video(label="Resultado")
    
    with gr.Tab("Ajustes"):
        metodo_corte = gr.Radio(
            ["inteligente", "manual"],
            label="Método de corte",
            value="inteligente"
        )
        duracion_corte = gr.Slider(1, 60, 10, label="Duración por corte (solo manual)")

    procesar_btn.click(
        procesar_video,
        inputs=[video_input, texto_tts, voz_seleccionada, metodo_corte, duracion_corte],
        outputs=video_output
    )

if __name__ == "__main__":
    demo.queue().launch()