Agora o arquivo legenda.psv, está da seguinte form...

Agora o arquivo legenda.psv, está da seguinte forma:

É|12.477|12.742
|12.742|12.783
h|12.783|12.804
o|12.804|13.130
j|13.130|13.151
e|13.151|13.192
|13.192|13.273
q|13.273|13.294
u|13.294|13.314
e|13.314|13.335
|13.335|13.396
a|13.396|13.416
|13.416|13.518
t|13.518|13.539
e|13.539|13.559
r|13.559|13.682
r|13.682|13.702
a|13.702|13.723
|13.723|13.845
t|13.845|13.866
r|13.866|13.886
e|13.886|14.376
m|14.376|14.397
e.|14.397|14.437
|14.437|14.977
É|14.977|15.773
|15.773|15.794
h|15.794|15.814
o|15.814|15.835
j|15.835|15.855
e|15.855|15.876
...

Preciso ajustar a exibição do texto no vídeo. Atualmente, ele mostra 4 linhas de texto por vez, que podem ser frases incompletas. Quero que ele passe a mostrar 4 frases completas. Para identificar uma frase, considere o texto que começa com letra maiúscula (É) e termina com pontuação final (e.). A funcionalidade de sincronização (por sílaba, palavra, etc.) deve continuar exatamente a mesma, a única mudança é agrupar e exibir o texto em unidades de 4 frases, em vez de 4 linhas.

• em relação ao aviso de não encontrar a silaba por causa do . final depois da letra - ignore isso quando tiver o .

python
import cupy as cp
import numpy as np
from PIL import Image, ImageDraw, ImageFont
import time
import threading
import math
import os
import queue
import subprocess
from tqdm import tqdm
import psutil
import traceback
from cupyx.scipy import ndimage as cupy_ndimage
#
DEFAULT_CONFIG = {
    "font_path": "C:/Users/lucas/LilitaOne-Regular.ttf",
    "font_size": 140,
    "video_resolution": "1920x1080",
    "video_fps": 6,
    "base_text_color": "#FFFFFF",
    "highlight_text_color": "#ff0000",
    "num_visible_lines": 4,
    "upper_case": True,
    "background_image": "capa.png",
    "frames_per_batch": 16,
    "default_subtitle_file": "legenda.psv",
    "default_output_file": "video_karaoke_char_level.mp4",
    "ffmpeg_preset": "p4",
    "ffmpeg_tune": "hq",
    "ffmpeg_bitrate": "20M",
    "ffmpeg_codec": "h264_nvenc",
    "vertical_shift_pixels": 130,
    "min_char_duration": 0.01,
}

def hex_to_bgr_cupy(hex_color):
    hex_color = hex_color.lstrip('#')
    rgb = tuple(int(hex_color[i:i+2], 16) for i in (0, 2, 4))
    return cp.array(rgb[::-1], dtype=cp.uint8)

class TextRenderer:
    def __init__(self, config):
        self.config = config
        self.font_path = config["font_path"]
        self.font_size = config["font_size"]
        self.num_visible_lines = config["num_visible_lines"]
        self.upper_case = config["upper_case"]
        self.base_text_color = config["base_text_color"]

        try:
            self.font = ImageFont.truetype(self.font_path, self.font_size)

            temp_img = Image.new("RGB", (1, 1))
            temp_draw = ImageDraw.Draw(temp_img)
            space_bbox = temp_draw.textbbox((0, 0), " ", font=self.font)

            try:
                self.space_width_ref = temp_draw.textlength(" ", font=self.font)
            except AttributeError:
                 self.space_width_ref = space_bbox[2] - space_bbox[0] if space_bbox else int(self.font_size * 0.25)

            try:
                sample_bbox = self.font.getbbox("Tg")
                self.line_height_ref = sample_bbox[3] - sample_bbox[1]
            except AttributeError:

                sample_bbox_fallback = temp_draw.textbbox((0, 0), "Tg", font=self.font)
                self.line_height_ref = sample_bbox_fallback[3] - sample_bbox_fallback[1] if sample_bbox_fallback else int(self.font_size * 1.2)
            del temp_draw, temp_img
        except Exception as e:
            print(f"Aviso: Falha ao carregar a fonte '{self.font_path}'. Usando fonte padrão. Erro: {e}")
            self.font = ImageFont.load_default()

            try:

                bbox = self.font.getbbox("M")
                self.font_size = bbox[3] - bbox[1]
            except AttributeError:
                self.font_size = 20

            temp_img = Image.new("RGB", (1, 1))
            temp_draw = ImageDraw.Draw(temp_img)
            try:
                self.space_width_ref = temp_draw.textlength(" ", font=self.font)
            except AttributeError:
                 self.space_width_ref = 10
            try:
                 bbox = self.font.getbbox("Tg")
                 self.line_height_ref = bbox[3] - bbox[1]
            except AttributeError:
                 self.line_height_ref = 30
            del temp_draw, temp_img
        if self.num_visible_lines <= 1:
            spacing_multiplier = 1.0
        elif self.num_visible_lines == 2:
            spacing_multiplier = 0.8
        elif self.num_visible_lines == 3:
            spacing_multiplier = 0.6
        else:
            spacing_multiplier = 0.4
        self.line_spacing = int(self.line_height_ref * spacing_multiplier)

        self.line_spacing = max(0, self.line_spacing)

    def _get_element_width(self, draw, text, font):
        """Obtém a largura de um elemento de texto (sílaba ou espaço)."""
        if text == " ":
            return self.space_width_ref
        try:

             return draw.textlength(text, font=font)
        except AttributeError:

            try:
                 bbox = draw.textbbox((0, 0), text, font=font)
                 return bbox[2] - bbox[0] if bbox else 0
            except AttributeError:

                width, _ = draw.textsize(text, font=font)
                return width
        except Exception:

             return len(text) * (self.font_size // 2)

    def render_text_images(self, displayed_content, active_line_local_idx, width, height):
        """Renderiza linhas de sílabas/espaços, incluindo o índice global."""
        img_base = Image.new("RGB", (width, height), (0, 0, 0))
        img_mask = Image.new("L", (width, height), 0)

        draw_base = ImageDraw.Draw(img_base)
        draw_mask = ImageDraw.Draw(img_mask)
        font = self.font
        line_height_render = self.line_height_ref
        line_render_data = []

        for global_idx, line_elements in displayed_content:
             if line_elements and global_idx is not None:
                 line_visual_width = 0
                 for _, _, _, precalculated_width in line_elements:
                     line_visual_width += precalculated_width

                 line_render_data.append({
                     "height": line_height_render,
                     "width": line_visual_width,
                     "elements": line_elements,
                     "global_idx": global_idx
                 })
             else:
                  line_render_data.append(None)

        current_block_actual_height = sum(info["height"] for info in line_render_data if info)
        visible_lines_count = sum(1 for info in line_render_data if info)

        if visible_lines_count > 1:
            current_block_actual_height += (visible_lines_count - 1) * self.line_spacing

        all_syllable_render_info = []
        active_syllable_indices = (-1, -1)
        current_global_syl_idx = 0
        centered_y = max(0, (height - current_block_actual_height) // 2)
        vertical_shift = self.config.get("vertical_shift_pixels", 0)
        current_block_start_y = max(0, centered_y + vertical_shift)

        current_y = current_block_start_y
        lines_drawn_count = 0

        for local_idx, render_info in enumerate(line_render_data):
            if render_info is None:
                continue

            line_height = render_info["height"]
            line_width_total = render_info["width"]
            elements_in_line = render_info["elements"]
            current_global_line_idx = render_info["global_idx"]

            if lines_drawn_count > 0:
                current_y += self.line_spacing

            is_active_line = (local_idx == active_line_local_idx)
            if is_active_line:
                active_syllable_start_idx_global = current_global_syl_idx

            line_start_x = (width - line_width_total) // 2
            current_x = float(line_start_x)
            line_y_draw = current_y

            for i, (start_time, end_time, element_text, element_width) in enumerate(elements_in_line):
                if not element_text.isspace():
                    try:
                        bbox = font.getbbox(element_text)

                        draw_x = int(current_x)
                        draw_y = line_y_draw
                        draw_base.text((draw_x, draw_y), element_text, font=font, fill=self.base_text_color)
                        draw_mask.text((draw_x, draw_y), element_text, font=font, fill=255)

                        final_bbox = draw_base.textbbox((draw_x, draw_y), element_text, font=font)
                        if final_bbox:
                             bbox_left, bbox_top, bbox_right, bbox_bottom = final_bbox
                             syl_w_actual = bbox_right - bbox_left
                             syl_h_actual = bbox_bottom - bbox_top
                        else:
                             bbox_left = draw_x
                             bbox_top = draw_y
                             syl_w_actual = element_width
                             syl_h_actual = line_height

                    except Exception as e:
                         print(f"Fallback de renderização para: {element_text}. Erro: {e}")
                         draw_x = int(current_x)
                         draw_y = line_y_draw
                         draw_base.text((draw_x, draw_y), element_text, font=font, fill=self.base_text_color)
                         draw_mask.text((draw_x, draw_y), element_text, font=font, fill=255)
                         bbox_left = draw_x
                         bbox_top = draw_y
                         syl_w_actual = element_width
                         syl_h_actual = line_height
                    all_syllable_render_info.append((start_time, end_time, bbox_left, bbox_top, syl_w_actual, syl_h_actual, current_global_line_idx))
                    current_global_syl_idx += 1
                current_x += element_width
            if is_active_line:
                active_syllable_end_idx_global = current_global_syl_idx
                active_syllable_indices = (active_syllable_start_idx_global, active_syllable_end_idx_global)

            current_y += line_height
            lines_drawn_count += 1
        base_cp = cp.asarray(np.array(img_base))
        mask_cp = cp.asarray(np.array(img_mask))
        return base_cp, mask_cp, all_syllable_render_info, active_syllable_indices

class SubtitleProcessor:
    def __init__(self, text_renderer: TextRenderer, config, syllable_dict, not_found_words_set):
        self.text_renderer = text_renderer
        self.config = config
        self.upper_case = config["upper_case"]
        self.font = self.text_renderer.font
        self.syllable_dict = syllable_dict
        self.not_found_words_set = not_found_words_set

    @staticmethod
    def _parse_time_string_float(time_str):
        """Parses time string (like '0.598') directly to float seconds."""
        try:
            return float(time_str)
        except (ValueError, TypeError):
            print(f"Aviso: Timestamp em formato inesperado: {time_str}")
            return None

    @staticmethod
    def read_subtitles(file):
        """Lê legendas do arquivo PSV (CHARACTER|START|END)."""
        char_timing_data = []
        try:
            with open(file, 'r', encoding='utf-8') as f:
                lines = f.readlines()

            if not lines:
                print(f"Aviso: Arquivo de legenda '{file}' está vazio.")
                return [], []
            header = lines[0].strip().upper()
            start_line_index = 0
            if header == "CHARACTER|START|END":
                start_line_index = 1
            elif header and '|' not in lines[0]:
                 print("Aviso: Cabeçalho 'CHARACTER|START|END' não encontrado. Assumindo que não há cabeçalho.")

            for line_num, line in enumerate(lines[start_line_index:], start=start_line_index + 1):
                if not line.strip():
                     pass
                line = line.rstrip('\n\r')
                if not line: continue

                parts = line.split('|')
                if len(parts) != 3:
                    print(f"Aviso: Ignorando linha {line_num} mal formatada (esperava 3 colunas separadas por '|'): '{line}'")
                    continue

                char = parts[0]
                start_str = parts[1].strip()
                end_str = parts[2].strip()

                start_time = SubtitleProcessor._parse_time_string_float(start_str)
                end_time = SubtitleProcessor._parse_time_string_float(end_str)

                if start_time is None or end_time is None:
                    print(f"Aviso: Ignorando linha {line_num} com timestamp inválido: '{line}'")
                    continue
                if not char and start_time is not None and end_time is not None:
                    char = " "

                if end_time < start_time:
                     print(f"Aviso: Corrigindo end_time < start_time na linha {line_num}: '{line}'")
                     end_time = start_time

                char_timing_data.append((start_time, end_time, str(char)))

        except FileNotFoundError:
            print(f"Erro: Arquivo de legenda PSV não encontrado: {file}")
            return [], []
        except Exception as e:
            print(f"Erro inesperado ao ler legendas PSV: {e}")
            import traceback
            traceback.print_exc()
            return [], []
        char_timing_data.sort(key=lambda x: x[0])

        long_pauses = SubtitleProcessor._identify_long_pauses(char_timing_data)

        return char_timing_data, long_pauses

    @staticmethod
    def _identify_long_pauses(char_timing_data, min_pause_duration=5.0):
        """Identifica pausas longas: no início, entre caracteres ou na duração de um caractere."""
        pauses = []
        if not char_timing_data:
            return pauses
        first_char_start_time = char_timing_data[0][0]
        initial_pause_duration = first_char_start_time
        if initial_pause_duration >= min_pause_duration:
            pauses.append({
                "start": 0.0,
                "end": first_char_start_time,
                "duration": initial_pause_duration,
                "type": "initial"
            })

        for i in range(1, len(char_timing_data)):
            prev_end_time = char_timing_data[i-1][1]
            curr_start_time = char_timing_data[i][0]
            pause_duration = curr_start_time - prev_end_time
            if pause_duration >= min_pause_duration:
                is_covered_by_initial = False
                if pauses and pauses[0]["type"] == "initial" and pauses[0]["end"] >= curr_start_time:
                     is_covered_by_initial = True

                if not is_covered_by_initial:
                    pauses.append({
                        "start": prev_end_time,
                        "end": curr_start_time,
                        "duration": pause_duration,
                        "type": "between"
                    })
        for i in range(len(char_timing_data)):
             start_time = char_timing_data[i][0]
             end_time = char_timing_data[i][1]
             char_duration = end_time - start_time
             if char_duration >= min_pause_duration:

                 is_covered = False
                 for p in pauses:

                     if abs(p["start"] - start_time) < 0.01 and abs(p["end"] - end_time) < 0.01:
                         is_covered = True
                         break
                 if not is_covered:
                     pauses.append({
                         "start": start_time,
                         "end": end_time,
                         "duration": char_duration,
                         "type": "during"
                     })
        pauses.sort(key=lambda x: x["start"])
        return pauses

    def _group_chars_into_words(self, char_timing_data):
        """Agrupa caracteres em palavras e espaços."""
        words_and_spaces = []
        current_word_chars = []

        for i, (start, end, char) in enumerate(char_timing_data):
            processed_char = char.upper() if self.upper_case else char

            if processed_char.isspace():

                if current_word_chars:
                    words_and_spaces.append({"type": "word", "chars": current_word_chars})
                    current_word_chars = []

                words_and_spaces.append({"type": "space", "start": start, "end": end})
            else:

                current_word_chars.append((start, end, processed_char))
        if current_word_chars:
            words_and_spaces.append({"type": "word", "chars": current_word_chars})

        return words_and_spaces

    def _process_words_into_syllables(self, words_and_spaces):
        """Processa palavras para dividi-las em sílabas usando o dicionário."""
        syllable_data = []
        temp_draw = ImageDraw.Draw(Image.new("RGB", (1,1)))

        punctuation_to_strip = ",.!?;:"

        for element in words_and_spaces:
            if element["type"] == "space":
                 space_width = self.text_renderer.space_width_ref
                 syllable_data.append((element["start"], element["end"], " ", space_width))
                 continue
            word_chars = element["chars"]
            if not word_chars: continue

            word_text = "".join([c[2] for c in word_chars])

            cleaned_word_text = word_text.rstrip(punctuation_to_strip)
            word_lookup = cleaned_word_text.lower()

            if word_lookup in self.syllable_dict:
                syllables_str = self.syllable_dict[word_lookup]
                syllable_parts = syllables_str.split('-')
                char_idx_counter = 0
                original_char_idx_counter = 0

                for syl_part in syllable_parts:
                    syl_len = len(syl_part)

                    if char_idx_counter + syl_len > len(cleaned_word_text):
                         print(f"Aviso: Inconsistência de sílaba para '{cleaned_word_text}' (original: '{word_text}'). Tratando restante.")

                         if original_char_idx_counter < len(word_chars):
                            syl_chars_original = word_chars[original_char_idx_counter:]
                            syl_text_original = "".join([c[2] for c in syl_chars_original])
                            syl_start = syl_chars_original[0][0]
                            syl_end = syl_chars_original[-1][1]
                            syl_width = sum(self.text_renderer._get_element_width(temp_draw, c[2], self.font) for c in syl_chars_original)
                            syllable_data.append((syl_start, syl_end, syl_text_original, syl_width))
                         break
                    syl_chars = word_chars[original_char_idx_counter : original_char_idx_counter + syl_len]
                    if not syl_chars: continue

                    syl_text = "".join([c[2] for c in syl_chars])
                    if syl_text.lower() != syl_part.lower():

                         print(f"Aviso: Discrepância na sílaba para '{cleaned_word_text}'. Esperado '{syl_part}', obtido '{syl_text}'. Usando texto dos caracteres originais.")

                         pass

                    syl_start = syl_chars[0][0]
                    syl_end = syl_chars[-1][1]
                    syl_width = sum(self.text_renderer._get_element_width(temp_draw, c[2], self.font) for c in syl_chars)

                    syllable_data.append((syl_start, syl_end, syl_text, syl_width))
                    char_idx_counter += syl_len
                    original_char_idx_counter += syl_len
                if original_char_idx_counter < len(word_chars):
                     remaining_chars = word_chars[original_char_idx_counter:]

                     rem_text_check = "".join([c[2] for c in remaining_chars])
                     if rem_text_check == word_text[len(cleaned_word_text):]:
                         if syllable_data and syllable_data[-1][2] != " ":
                             last_syl_start, last_syl_end, last_syl_text, last_syl_width = syllable_data.pop()
                             new_syl_text = last_syl_text + rem_text_check
                             new_syl_end = remaining_chars[-1][1]
                             new_syl_width = last_syl_width + sum(self.text_renderer._get_element_width(temp_draw, c[2], self.font) for c in remaining_chars)
                             syllable_data.append((last_syl_start, new_syl_end, new_syl_text, new_syl_width))
                         else:
                             print(f"Aviso: Adicionando pontuação final '{rem_text_check}' como elemento separado.")
                             rem_start = remaining_chars[0][0]
                             rem_end = remaining_chars[-1][1]
                             rem_width = sum(self.text_renderer._get_element_width(temp_draw, c[2], self.font) for c in remaining_chars)
                             syllable_data.append((rem_start, rem_end, rem_text_check, rem_width))
                     else:

                          print(f"Aviso: Caracteres restantes inesperados em '{word_text}' após processar sílabas de '{cleaned_word_text}'. Agrupando.")
                          rem_start = remaining_chars[0][0]
                          rem_end = remaining_chars[-1][1]
                          rem_width = sum(self.text_renderer._get_element_width(temp_draw, c[2], self.font) for c in remaining_chars)
                          syllable_data.append((rem_start, rem_end, rem_text_check, rem_width))
            else:

                if word_lookup not in self.not_found_words_set:

                    print(f"Aviso: Palavra '{cleaned_word_text}' (original: '{word_text}') não encontrada no dicionário de sílabas. Tratando como sílaba única.")
                    self.not_found_words_set.add(word_lookup)
                syl_start = word_chars[0][0]
                syl_end = word_chars[-1][1]
                syl_width = sum(self.text_renderer._get_element_width(temp_draw, c[2], self.font) for c in word_chars)
                syllable_data.append((syl_start, syl_end, word_text, syl_width))
        del temp_draw

        syllable_data.sort(key=lambda x: x[0])
        return syllable_data

    def group_syllables_into_lines(self, syllable_timing_data, video_width):
        """Agrupa sílabas/espaços em linhas visuais."""
        lines = []
        if not syllable_timing_data:
            return lines

        max_width = int(video_width * 0.9)

        current_line_elements = []
        current_line_width = 0
        last_space_idx_in_line = -1

        for idx, (start, end, text, element_width) in enumerate(syllable_timing_data):

            is_space = (text == " ")
            potential_line_width = current_line_width + element_width
            if current_line_elements and not current_line_elements[-1][2].isspace() and not is_space:
                 potential_line_width += self.text_renderer.space_width_ref

            if potential_line_width > max_width and current_line_elements:

                 break_point_idx = -1

                 for i in range(len(current_line_elements) - 1, -1, -1):
                     if current_line_elements[i][2].isspace():
                         break_point_idx = i
                         break

                 if break_point_idx != -1:

                     line_to_add = current_line_elements[:break_point_idx + 1]

                     while line_to_add and line_to_add[-1][2].isspace():
                          line_to_add.pop()

                     if line_to_add: lines.append(line_to_add)
                     remaining_elements = current_line_elements[break_point_idx + 1:]
                     current_line_elements = remaining_elements + [(start, end, text, element_width)]

                 else:
                     line_to_add = current_line_elements
                     while line_to_add and line_to_add[-1][2].isspace():
                          line_to_add.pop()

                     if line_to_add: lines.append(line_to_add)
                     current_line_elements = [(start, end, text, element_width)]
                 current_line_width = 0
                 for elem in current_line_elements:
                     current_line_width += elem[3]

            else:

                 current_line_elements.append((start, end, text, element_width))
                 current_line_width += element_width

        if current_line_elements:

            while current_line_elements and current_line_elements[-1][2].isspace():
                 current_line_elements.pop()
            if current_line_elements:
                lines.append(current_line_elements)
        return lines

    def process_subtitles_to_syllable_lines(self, file, video_width):
        char_timing_data, long_pauses = self.read_subtitles(file)
        if not char_timing_data:
            return [], []

        words_and_spaces = self._group_chars_into_words(char_timing_data)
        syllable_timing_data = self._process_words_into_syllables(words_and_spaces)
        if not syllable_timing_data:
             print("Aviso: Nenhum dado de sílaba gerado.")
             return [], long_pauses

        lines = self.group_syllables_into_lines(syllable_timing_data, video_width)
        return lines, long_pauses

class CUDAProcessor:

    def __init__(self, config, static_bg_rgb_cp):
        self.config = config
        self.static_bg_rgb_cp = static_bg_rgb_cp
        self.streams = [cp.cuda.Stream() for _ in range(2)]
        self.base_color_cp = hex_to_bgr_cupy(config["base_text_color"])
        self.base_color_rgb_float_cp = self.base_color_cp[::-1].astype(cp.float32) / 255.0
        highlight_hex = config["highlight_text_color"]
        highlight_bgr_cp = hex_to_bgr_cupy(highlight_hex)
        self.highlight_color_rgb_float_cp = highlight_bgr_cp[::-1].astype(cp.float32) / 255.0
        self.progress_bar_fill_color_cp = highlight_bgr_cp
        self.progress_bar_fill_rgb_float_cp = self.highlight_color_rgb_float_cp
        hex_color_clean = highlight_hex.lstrip('#')
        rgb = tuple(int(hex_color_clean[i:i+2], 16) for i in (0, 2, 4))
        darkening_factor = 0.4
        dark_rgb = tuple(max(0, min(255, int(c * darkening_factor))) for c in rgb)
        self.progress_bar_bg_color_cp = cp.array(dark_rgb[::-1], dtype=cp.uint8)
        self.progress_bar_bg_rgb_float_cp = self.progress_bar_bg_color_cp[::-1].astype(cp.float32) / 255.0

        self.frames_per_batch = config["frames_per_batch"]
        self.min_syl_duration = config.get("min_char_duration", 0.01)
        self.progress_bar_height = 20
        self.progress_bar_y_start = 10
        self.max_visual_fill_duration = config.get("max_visual_fill_duration", 3.0)

        if self.static_bg_rgb_cp is None:
             raise ValueError("CUDAProcessor requer um array static_bg_rgb_cp não nulo.")

        self.static_bg_rgb_float_cp = self.static_bg_rgb_cp.astype(cp.float32) / 255.0

    def process_frames_streaming(self,
                                base_cp, mask_cp, all_syllable_render_info,
                                active_syllable_indices,
                                video, video_lock, video_fps, current_frame, num_frames, width, height, pbar=None,
                                prev_mask_cp=None, fade_start_time=None, fade_end_time=None,
                                active_global_line_idx=-1,
                                completed_global_line_indices=set(),
                                long_pauses=None):
        """Processes frames including optional progress bar and consistent syllable fill."""
        channels = 3
        num_syls_total = len(all_syllable_render_info)
        syl_duration_for_normalization = cp.zeros(num_syls_total, dtype=cp.float32)
        next_syl_starts_cp_pre = cp.empty(num_syls_total, dtype=cp.float32)

        if num_syls_total > 0:
            syl_starts_cp = cp.asarray([info[0] for info in all_syllable_render_info], dtype=cp.float32)
            syl_ends_cp = cp.asarray([info[1] for info in all_syllable_render_info], dtype=cp.float32)
            syl_x_cp = cp.asarray([info[2] for info in all_syllable_render_info], dtype=cp.int32)
            syl_y_cp = cp.asarray([info[3] for info in all_syllable_render_info], dtype=cp.int32)
            syl_w_cp = cp.asarray([info[4] for info in all_syllable_render_info], dtype=cp.int32)
            syl_h_cp = cp.asarray([info[5] for info in all_syllable_render_info], dtype=cp.int32)
            syl_global_idx_cp = cp.asarray([info[6] for info in all_syllable_render_info], dtype=cp.int32)
            if num_syls_total > 1:
                next_syl_starts_cp_pre[:-1] = syl_starts_cp[1:]
            next_syl_starts_cp_pre[-1] = syl_ends_cp[-1]

            for syl_idx in range(num_syls_total):
                s_start = syl_starts_cp[syl_idx]
                raw_end_time = next_syl_starts_cp_pre[syl_idx]
                raw_duration = raw_end_time - s_start
                eff_duration = cp.maximum(raw_duration, self.min_syl_duration)
                syl_duration_for_normalization[syl_idx] = eff_duration
                if eff_duration > self.max_visual_fill_duration and long_pauses:
                    syllable_overlaps = False
                    for pause in long_pauses:
                        pause_start, pause_end = pause["start"], pause["end"]

                        if s_start < pause_end and raw_end_time > pause_start:
                            syllable_overlaps = True
                            break
                    if syllable_overlaps:

                        syl_duration_for_normalization[syl_idx] = self.max_visual_fill_duration

            del next_syl_starts_cp_pre
        else:

            syl_starts_cp = cp.empty(0, dtype=cp.float32)
            syl_ends_cp = cp.empty(0, dtype=cp.float32)
            syl_x_cp = cp.empty(0, dtype=cp.int32)
            syl_y_cp = cp.empty(0, dtype=cp.int32)
            syl_w_cp = cp.empty(0, dtype=cp.int32)
            syl_h_cp = cp.empty(0, dtype=cp.int32)
            syl_global_idx_cp = cp.empty(0, dtype=cp.int32)

        batch_size = min(self.frames_per_batch, 64)
        out_cp = [cp.empty((batch_size, height, width, channels), dtype=cp.uint8) for _ in range(2)]
        text_mask_bool = mask_cp > 128
        text_mask_bool_exp = text_mask_bool[None, ..., None]
        y_coords, x_coords = cp.mgrid[:height, :width]
        bar_y_start = self.progress_bar_y_start
        bar_y_end = bar_y_start + self.progress_bar_height
        bar_bg_mask_full_area = (y_coords >= bar_y_start) & (y_coords < bar_y_end)

        result_queue = queue.Queue(maxsize=8)
        writer = threading.Thread(target=self._create_writer_thread(result_queue, video, video_lock, pbar), daemon=True)
        writer.start()

        max_visual_fill_duration = self.config.get("max_visual_fill_duration", 3.0)
        buffer_idx = 0
        for batch_start in range(0, num_frames, batch_size):
            buffer_idx = (buffer_idx + 1) % 2
            stream = self.streams[buffer_idx]

            batch_end = min(batch_start + batch_size, num_frames)
            batch_frames = batch_end - batch_start
            if batch_frames <= 0: continue

            out_batch_cp = out_cp[buffer_idx][:batch_frames]

            with stream:
                batch_frame_indices = cp.arange(batch_frames, dtype=cp.int32)
                absolute_frame_indices = current_frame + batch_start + batch_frame_indices
                frame_times_cp = absolute_frame_indices.astype(cp.float32) / video_fps
                intermediate_batch_float = cp.repeat(self.static_bg_rgb_float_cp[None, ...], batch_frames, axis=0)
                is_in_long_pause_batch_for_bar = cp.zeros(batch_frames, dtype=bool)
                if long_pauses:
                    batch_needs_bar = cp.zeros(batch_frames, dtype=bool)
                    batch_fill_width = cp.zeros(batch_frames, dtype=cp.int32)

                    for pause in long_pauses:
                        pause_start, pause_end, pause_duration = pause["start"], pause["end"], pause["duration"]
                        is_in_this_pause_batch_indices = cp.where((frame_times_cp >= pause_start) & (frame_times_cp < pause_end))[0]

                        if is_in_this_pause_batch_indices.size > 0:
                            batch_needs_bar[is_in_this_pause_batch_indices] = True
                            is_in_long_pause_batch_for_bar[is_in_this_pause_batch_indices] = True

                            progress = (frame_times_cp[is_in_this_pause_batch_indices] - pause_start) / pause_duration
                            fill_width = cp.clip((progress * width), 0, width).astype(cp.int32)
                            batch_fill_width[is_in_this_pause_batch_indices] = fill_width

                    if cp.any(batch_needs_bar):
                        bar_bg_mask_batch = bar_bg_mask_full_area[None, :, :] & batch_needs_bar[:, None, None]
                        x_coords_exp = x_coords[None, :, :]
                        bar_fill_mask_batch = bar_bg_mask_batch & (x_coords_exp < batch_fill_width[:, None, None])
                        apply_bg_mask = bar_bg_mask_batch & (~bar_fill_mask_batch)
                        intermediate_batch_float = cp.where(
                            apply_bg_mask[..., None], self.progress_bar_bg_rgb_float_cp, intermediate_batch_float
                        )
                        intermediate_batch_float = cp.where(
                            bar_fill_mask_batch[..., None], self.progress_bar_fill_rgb_float_cp, intermediate_batch_float
                        )
                        del bar_bg_mask_batch, bar_fill_mask_batch, apply_bg_mask, x_coords_exp
                    del batch_needs_bar, batch_fill_width

                if prev_mask_cp is not None and fade_start_time is not None and fade_end_time is not None and fade_end_time > fade_start_time:
                    prev_mask_float_exp = (prev_mask_cp > 128)[None, ..., None]
                    time_in_fade = frame_times_cp - fade_start_time
                    fade_duration = fade_end_time - fade_start_time
                    fade_progress = cp.clip(time_in_fade / fade_duration, 0.0, 1.0)
                    prev_alpha_batch = 1.0 - fade_progress
                    prev_alpha_exp = prev_alpha_batch[:, None, None, None]
                    intermediate_batch_float = cp.where(
                        prev_mask_float_exp,
                        self.base_color_rgb_float_cp * prev_alpha_exp + intermediate_batch_float * (1.0 - prev_alpha_exp),
                        intermediate_batch_float
                    )
                batch_highlight_mask = cp.zeros((batch_frames, height, width), dtype=bool)
                completed_indices_cp = cp.asarray(list(completed_global_line_indices), dtype=cp.int32)
                if completed_indices_cp.size > 0 and num_syls_total > 0:
                    is_completed_syl_mask = cp.isin(syl_global_idx_cp, completed_indices_cp)
                    completed_syl_indices = cp.where(is_completed_syl_mask)[0]
                    for syl_idx in completed_syl_indices:
                        s_x, s_y = syl_x_cp[syl_idx], syl_y_cp[syl_idx]
                        s_w, s_h = syl_w_cp[syl_idx], syl_h_cp[syl_idx]
                        if s_w <= 0 or s_h <= 0: continue
                        syl_bbox_mask = (x_coords >= s_x) & (x_coords < s_x + s_w) & \
                                        (y_coords >= s_y) & (y_coords < s_y + s_h)
                        combined_mask = syl_bbox_mask & text_mask_bool
                        batch_highlight_mask[:, combined_mask] = True
                start_active_syl_idx, end_active_syl_idx = active_syllable_indices
                start_active_syl_idx = max(0, start_active_syl_idx)
                end_active_syl_idx = min(num_syls_total, end_active_syl_idx)

                if active_global_line_idx != -1 and start_active_syl_idx < end_active_syl_idx:

                    for syl_idx in range(start_active_syl_idx, end_active_syl_idx):
                        if syl_global_idx_cp[syl_idx] != active_global_line_idx:
                            continue

                        s_start = syl_starts_cp[syl_idx]
                        s_x, s_y = syl_x_cp[syl_idx], syl_y_cp[syl_idx]
                        s_w, s_h = syl_w_cp[syl_idx], syl_h_cp[syl_idx]
                        if s_w <= 0 or s_h <= 0: continue

                        current_syl_norm_duration = syl_duration_for_normalization[syl_idx]
                        elapsed_time = frame_times_cp - s_start
                        safe_visual_duration = cp.maximum(current_syl_norm_duration, 1e-6)
                        normalized_time = cp.clip(elapsed_time / safe_visual_duration, 0.0, 1.0)
                        syl_progress_batch = normalized_time
                        cutoff_x_batch = s_x + syl_progress_batch * s_w
                        syl_bbox_mask = (x_coords >= s_x) & (x_coords < s_x + s_w) & \
                                        (y_coords >= s_y) & (y_coords < s_y + s_h)
                        highlight_area_mask_batch = x_coords[None, :, :] < cutoff_x_batch[:, None, None]
                        active_highlight_apply_mask = syl_bbox_mask[None, :, :] & \
                                                   highlight_area_mask_batch & \
                                                   text_mask_bool[None, :, :]

                        batch_highlight_mask |= active_highlight_apply_mask
                        del elapsed_time, safe_visual_duration, normalized_time, cutoff_x_batch
                        del syl_progress_batch, syl_bbox_mask
                        del highlight_area_mask_batch, active_highlight_apply_mask

                final_color_batch_float = intermediate_batch_float
                highlight_mask_exp = batch_highlight_mask[..., None]
                final_color_batch_float = cp.where(
                    text_mask_bool_exp & highlight_mask_exp, self.highlight_color_rgb_float_cp, final_color_batch_float
                )
                final_color_batch_float = cp.where(
                    text_mask_bool_exp & (~highlight_mask_exp), self.base_color_rgb_float_cp, final_color_batch_float
                )
                out_batch_cp[:] = (final_color_batch_float * 255.0).astype(cp.uint8)
                del batch_highlight_mask, highlight_mask_exp
                del final_color_batch_float, intermediate_batch_float
                if 'completed_indices_cp' in locals(): del completed_indices_cp
                if 'is_completed_syl_mask' in locals(): del is_completed_syl_mask
                if 'completed_syl_indices' in locals(): del completed_syl_indices
                del is_in_long_pause_batch_for_bar

            stream.synchronize()
            result_queue.put((out_batch_cp.copy(), batch_frames))
            cp.get_default_memory_pool().free_all_blocks()
        result_queue.put(None)
        writer.join()
        for s in self.streams:
            s.synchronize()

        if 'syl_starts_cp' in locals(): del syl_starts_cp
        if 'syl_ends_cp' in locals(): del syl_ends_cp
        if 'syl_x_cp' in locals(): del syl_x_cp
        if 'syl_y_cp' in locals(): del syl_y_cp
        if 'syl_w_cp' in locals(): del syl_w_cp
        if 'syl_h_cp' in locals(): del syl_h_cp
        if 'syl_global_idx_cp' in locals(): del syl_global_idx_cp
        if 'syl_duration_for_normalization' in locals(): del syl_duration_for_normalization

        del text_mask_bool, text_mask_bool_exp
        del y_coords, x_coords
        del out_cp, result_queue
        cp.get_default_memory_pool().free_all_blocks()
        del bar_bg_mask_full_area

    def _create_writer_thread(self, result_queue, video, video_lock, pbar):
        def writer_thread():
            while True:
                batch_data = result_queue.get()
                if batch_data is None:
                    result_queue.task_done()
                    break
                frames_rgb_uint8, batch_frames_count = batch_data
                try:

                    frames_bgr_uint8 = frames_rgb_uint8[:, :, :, ::-1]
                    for frame_idx in range(batch_frames_count):
                        with video_lock:

                            video.write(cp.asnumpy(frames_bgr_uint8[frame_idx]))
                    if pbar is not None:
                        pbar.update(batch_frames_count)
                except Exception as e:
                     print(f"Erro na thread escritora: {e}")
                     if isinstance(e, (BrokenPipeError, OSError)):
                          print("Erro crítico de escrita. Encerrando thread escritora.")
                          break
                finally:

                     del frames_rgb_uint8, frames_bgr_uint8
                     result_queue.task_done()
        return writer_thread

class FFmpegWriter:

    def __init__(self, output_file, width, height, fps, config):
        self.output_file = output_file
        self.config = config

        ffmpeg_cmd = [
            "ffmpeg", "-y",
            "-f", "rawvideo",
            "-vcodec", "rawvideo",
            "-s", f"{width}x{height}",
            "-pix_fmt", "bgr24",
            "-r", str(fps),
            "-i", "-",
            "-c:v", config["ffmpeg_codec"],
            "-preset", config["ffmpeg_preset"],
            "-b:v", config["ffmpeg_bitrate"],
            "-pix_fmt", "yuv420p",
            "-tune", config["ffmpeg_tune"],
            output_file
        ]

        self.ffmpeg_process = subprocess.Popen(
            ffmpeg_cmd,
            stdin=subprocess.PIPE,
            stdout=subprocess.DEVNULL,
            stderr=subprocess.PIPE,
            bufsize=10**8
        )

        self.stderr_thread = threading.Thread(target=self._read_stderr, daemon=True)
        self.stderr_thread.start()

    def _read_stderr(self):
        """Reads and prints FFmpeg's stderr output."""
        try:
            for line in iter(self.ffmpeg_process.stderr.readline, b''):
                 pass
        except Exception as e:
            print(f"Error reading FFmpeg stderr: {e}")

    def write(self, frame):
        """Writes a frame (NumPy/CuPy array) to FFmpeg."""
        try:

            if isinstance(frame, cp.ndarray):
                frame = cp.asnumpy(frame)
            self.ffmpeg_process.stdin.write(frame.tobytes())
        except (OSError, BrokenPipeError) as e:
            print(f"Error writing frame to FFmpeg: {e}. FFmpeg might have terminated.")

            self.release()
            raise

    def release(self):
        """Closes the FFmpeg process."""
        if self.ffmpeg_process.stdin:
            try:
                self.ffmpeg_process.stdin.close()
            except OSError as e:
                 print(f"Warning: Error closing FFmpeg stdin: {e}")

        ret_code = self.ffmpeg_process.wait()
        if ret_code != 0:
            print(f"Warning: FFmpeg process exited with non-zero status: {ret_code}")

        self.stderr_thread.join(timeout=1.0)
def get_audio_duration(audio_file_path):

    if not os.path.exists(audio_file_path):
        print(f"Aviso: Arquivo de áudio não encontrado: {audio_file_path}")
        return None
    try:
        command = [
            "ffprobe",
            "-v", "error",
            "-show_entries", "format=duration",
            "-of", "default=noprint_wrappers=1:nokey=1",
            audio_file_path
        ]
        result = subprocess.run(command, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True, check=True)
        duration = float(result.stdout.strip())
        return duration
    except FileNotFoundError:
        print("Erro: ffprobe não encontrado. Certifique-se de que o FFmpeg (que inclui ffprobe) está no PATH do sistema.")
        return None
    except subprocess.CalledProcessError as e:
        print(f"Erro ao executar ffprobe para obter duração do áudio: {e}")
        print(f"Stderr: {e.stderr}")
        return None
    except ValueError:
        print(f"Erro: Não foi possível converter a saída do ffprobe para float: {result.stdout.strip()}")
        return None
    except Exception as e:
        print(f"Erro inesperado ao obter duração do áudio: {e}")
        return None

class KaraokeVideoCreator:
    def __init__(self, config, text_renderer: TextRenderer):
        self.config = config
        self.fps = config["video_fps"]
        self.text_renderer = text_renderer
        self.num_visible_lines = config["num_visible_lines"]
        width, height = 1920, 1080
        try:
            width, height = map(int, self.config["video_resolution"].split("x"))
        except ValueError:
            print(f"Aviso: Resolução de vídeo inválida '{self.config['video_resolution']}'. Usando 1920x1080.")
            width, height = 1920, 1080
        self.width = width
        self.height = height

        self.static_bg_frame_bgr_np = None
        self.static_bg_frame_rgb_cp = None
        bg_path = config.get("background_image")
        loaded_static = False
        if bg_path and os.path.exists(bg_path):
            try:
                bg_img = Image.open(bg_path).convert("RGB").resize((width, height), Image.Resampling.LANCZOS)

                self.static_bg_frame_bgr_np = np.array(bg_img)[:, :, ::-1].copy()

                self.static_bg_frame_rgb_cp = cp.asarray(np.array(bg_img))
                loaded_static = True
            except Exception as e:
                print(f"Erro ao carregar imagem de fundo '{bg_path}': {e}. Usando fundo preto.")

                self.static_bg_frame_bgr_np = np.zeros((height, width, 3), dtype=np.uint8)
                self.static_bg_frame_rgb_cp = cp.zeros((height, width, 3), dtype=np.uint8)
        else:
             if bg_path:
                 print(f"Aviso: Imagem de fundo especificada não encontrada: {bg_path}. Usando fundo preto.")
             self.static_bg_frame_bgr_np = np.zeros((height, width, 3), dtype=np.uint8)
             self.static_bg_frame_rgb_cp = cp.zeros((height, width, 3), dtype=np.uint8)
        self.init_gpu()
        self.cuda_processor = CUDAProcessor(
            config,
            static_bg_rgb_cp=self.static_bg_frame_rgb_cp
        )

    def init_gpu(self):
        """Initializes the GPU device and memory pool."""
        try:
            cp.cuda.Device(0).use()
            cp.cuda.set_allocator(cp.cuda.MemoryPool().malloc)
            cp.cuda.Stream.null.synchronize()
            _ = cp.zeros(1)
        except cp.cuda.runtime.CUDARuntimeError as e:
            print(f"Erro Crítico: Falha ao inicializar a GPU CUDA: {e}")
            raise
        except Exception as e:
            print(f"Erro Crítico: Falha inesperada durante inicialização da GPU: {e}")
            raise

    def _get_next_global_indices(self, current_displayed_indices, count=2):
        """Encontra os próximos 'count' índices globais que ainda não estão na tela."""
        max_existing_idx = -1
        valid_indices = {idx for idx in current_displayed_indices if idx is not None}
        if valid_indices:
            max_existing_idx = max(valid_indices)

        next_indices = []
        candidate_idx = max_existing_idx + 1
        while len(next_indices) < count:
            next_indices.append(candidate_idx)
            candidate_idx += 1
        return next_indices

    def create_video(self, syllable_lines, long_pauses, output_file, audio_file_path):
        """Cria o vídeo de karaokê com atualização de conteúdo por slots."""

        width, height = self.width, self.height
        N = self.num_visible_lines

        audio_duration = get_audio_duration(audio_file_path)
        first_syl_start_time = 0.0
        last_syl_end_time = 0.0

        if syllable_lines:
            first_valid_line_idx = next((idx for idx, ln in enumerate(syllable_lines) if ln), -1)
            if first_valid_line_idx != -1 and syllable_lines[first_valid_line_idx]:
                first_syl_start_time = syllable_lines[first_valid_line_idx][0][0]

            last_valid_line_idx = next((idx for idx in range(len(syllable_lines) - 1, -1, -1) if syllable_lines[idx]), -1)
            if last_valid_line_idx != -1 and syllable_lines[last_valid_line_idx]:
                 last_syl_end_time = syllable_lines[last_valid_line_idx][-1][1]
        else:
             print("Aviso: Nenhuma linha de sílaba para processar.")
             last_syl_end_time = 1.0

        video_end_time = last_syl_end_time + 0.5
        if audio_duration is not None:
             video_end_time = max(video_end_time, audio_duration + 0.1)
        else:
             print(f"Aviso: Sem duração de áudio, vídeo terminará em {video_end_time:.2f}s baseado nas legendas.")

        total_frames = math.ceil(video_end_time * self.fps)
        print(f"Duração do vídeo estimada: {video_end_time:.2f}s, Total de frames: {total_frames}")

        try:
            video = FFmpegWriter(output_file, width, height, self.fps, self.config)
        except Exception as e:
            print(f"Erro Crítico: Falha ao inicializar FFmpegWriter: {e}")
            return

        video_lock = threading.Lock()
        start_time_processing = time.time()
        current_frame = 0
        num_lines = len(syllable_lines)

        pbar = tqdm(total=total_frames, unit="frames",
                   bar_format="{l_bar}{bar}| {n_fmt}/{total_fmt} frames [{elapsed}<{remaining}, {rate_fmt}]", position=0, leave=True)
        displayed_content = []
        for idx in range(N):
            line_data = syllable_lines[idx] if idx < num_lines else None
            displayed_content.append((idx if line_data else None, line_data))
        completed_global_line_indices = set()

        prev_mask_cp = None
        trigger_1_pending_for_line = -1
        trigger_2_pending = False
        last_trigger_1_line_completed = -1
        last_trigger_2_line_completed = -1
        initial_static_frames = 0
        if syllable_lines:
            first_valid_line_idx_recalc = next((idx for idx, ln in enumerate(syllable_lines) if ln), -1)
            if first_valid_line_idx_recalc != -1:
                first_syl_start_time_recalc = syllable_lines[first_valid_line_idx_recalc][0][0]
                initial_static_frames = max(0, int(first_syl_start_time_recalc * self.fps))

        if initial_static_frames > 0:

            try:
                if any(global_idx is not None for global_idx, _ in displayed_content):

                     initial_base_cp, initial_mask_cp, all_syl_info, _ = self.text_renderer.render_text_images(
                         displayed_content,
                         -1,
                         width, height
                     )
                     if initial_base_cp is not None and initial_mask_cp is not None:
                         self.cuda_processor.process_frames_streaming(
                             initial_base_cp, initial_mask_cp,
                             [],
                             (-1,-1),
                             video, video_lock, self.fps, 0, initial_static_frames,
                             width, height, pbar, None, None, None,
                             active_global_line_idx=-1,
                             completed_global_line_indices=completed_global_line_indices,
                             long_pauses=long_pauses
                         )
                         prev_mask_cp = initial_mask_cp.copy()
                         del initial_base_cp, initial_mask_cp, all_syl_info
                     else:

                         print("Aviso: Renderização inicial produziu dados nulos. Usando fallback.")
                         fill_frames_batch = [self.static_bg_frame_bgr_np] * initial_static_frames
                         with video_lock: video.write(np.concatenate(fill_frames_batch))
                         if pbar is not None: pbar.update(initial_static_frames)
                         prev_mask_cp = None
                else:
                     fill_frames_batch = [self.static_bg_frame_bgr_np] * initial_static_frames
                     with video_lock: video.write(np.concatenate(fill_frames_batch))
                     if pbar is not None: pbar.update(initial_static_frames)
                     prev_mask_cp = None

            except Exception as e:
                print(f"Aviso: Falha ao pré-renderizar janela inicial estática: {e}")
                traceback.print_exc()

                fill_frames_batch = [self.static_bg_frame_bgr_np] * initial_static_frames
                with video_lock: video.write(np.concatenate(fill_frames_batch))
                if pbar is not None: pbar.update(initial_static_frames)
                prev_mask_cp = None

            current_frame = initial_static_frames
        for i, current_line_syllables in enumerate(syllable_lines):
            if not current_line_syllables:
                print(f"Aviso: Pulando linha global vazia {i}")
                continue
            if trigger_2_pending and i != last_trigger_2_line_completed:

                current_indices_on_screen = [content[0] for content in displayed_content]
                next_indices = self._get_next_global_indices(current_indices_on_screen, 2)

                new_idx_bottom1 = next_indices[0]
                new_data_bottom1 = syllable_lines[new_idx_bottom1] if new_idx_bottom1 < num_lines else None

                displayed_content[N-2] = (new_idx_bottom1 if new_data_bottom1 else None, new_data_bottom1)

                new_idx_bottom2 = next_indices[1]
                new_data_bottom2 = syllable_lines[new_idx_bottom2] if new_idx_bottom2 < num_lines else None

                displayed_content[N-1] = (new_idx_bottom2 if new_data_bottom2 else None, new_data_bottom2)

                trigger_2_pending = False
                last_trigger_2_line_completed = i
            active_local_idx = -1
            for local_idx, (global_idx, _) in enumerate(displayed_content):
                if global_idx == i:
                    active_local_idx = local_idx
                    break
            if active_local_idx == -1:
                line_start_time = current_line_syllables[0][0]
                line_start_frame = int(line_start_time * self.fps)
                frames_to_fill_until_line = max(0, line_start_frame - current_frame)
                if frames_to_fill_until_line > 0:
                    print(f"Aviso: Linha ativa {i} não encontrada na tela. Preenchendo {frames_to_fill_until_line} frames...")

                    if prev_mask_cp is not None:
                         dummy_base_cp = cp.zeros_like(self.static_bg_frame_rgb_cp)
                         self.cuda_processor.process_frames_streaming(
                             dummy_base_cp, prev_mask_cp, [], (-1, -1),
                             video, video_lock, self.fps, current_frame, frames_to_fill_until_line,
                             width, height, pbar, None, None, None,
                             active_global_line_idx=-1,
                             completed_global_line_indices=completed_global_line_indices,
                             long_pauses=long_pauses
                         )
                         del dummy_base_cp
                    else:
                         fill_batch = np.tile(self.static_bg_frame_bgr_np, (frames_to_fill_until_line, 1, 1, 1))
                         with video_lock: video.write(fill_batch)
                         if pbar is not None: pbar.update(frames_to_fill_until_line)
                    current_frame += frames_to_fill_until_line
                continue
            render_data = None
            render_success = False

            try:

                render_data = self.text_renderer.render_text_images(displayed_content, active_local_idx, width, height)
                render_success = True
            except Exception as e:
                 print(f"Erro crítico ao renderizar slots para linha {i}: {e}")
                 traceback.print_exc()
                 render_success = False
            if render_success and render_data:

                base_cp, mask_cp, all_syl_info, active_indices = render_data

                if base_cp is not None and mask_cp is not None and all_syl_info and active_indices[1] > active_indices[0]:
                    line_start_time = current_line_syllables[0][0]
                    line_end_time = current_line_syllables[-1][1]
                    line_start_frame = int(line_start_time * self.fps)
                    next_line_start_time = float('inf')
                    next_valid_line_idx = next((idx for idx in range(i + 1, num_lines) if syllable_lines[idx]), -1)
                    if next_valid_line_idx != -1:
                         next_line_start_time = syllable_lines[next_valid_line_idx][0][0]

                    processing_end_time_for_line_i = min(next_line_start_time, video_end_time)
                    processing_end_frame = math.ceil(processing_end_time_for_line_i * self.fps)
                    processing_end_frame = min(processing_end_frame, total_frames)

                    effective_start_frame_for_processing = max(line_start_frame, current_frame)
                    num_frames_to_process = max(0, processing_end_frame - effective_start_frame_for_processing)
                    trigger_1_frame = -1
                    is_penultimate_line = (active_local_idx == N - 2)
                    if is_penultimate_line and i != last_trigger_1_line_completed:
                        line_duration = max(line_end_time - line_start_time, 0.01)
                        midpoint_time = line_start_time + line_duration / 2.0
                        trigger_1_frame = int(midpoint_time * self.fps)

                        trigger_1_pending_for_line = i
                    if num_frames_to_process > 0:
                        fade_line_duration = 0.15
                        line_fade_start_time = line_start_time
                        line_fade_end_time = line_start_time + fade_line_duration

                        self.cuda_processor.process_frames_streaming(
                            base_cp, mask_cp, all_syl_info, active_indices,
                            video, video_lock, self.fps,
                            effective_start_frame_for_processing, num_frames_to_process,
                            width, height, pbar,
                            prev_mask_cp, line_fade_start_time, line_fade_end_time,
                            active_global_line_idx=i,
                            completed_global_line_indices=completed_global_line_indices,
                            long_pauses=long_pauses
                        )

                        processed_frames_end = effective_start_frame_for_processing + num_frames_to_process
                        if trigger_1_pending_for_line == i and trigger_1_frame != -1 and processed_frames_end > trigger_1_frame:

                            current_indices_on_screen = [content[0] for content in displayed_content]
                            next_indices = self._get_next_global_indices(current_indices_on_screen, 2)

                            new_idx_top1 = next_indices[0]
                            new_data_top1 = syllable_lines[new_idx_top1] if new_idx_top1 < num_lines else None

                            displayed_content[0] = (new_idx_top1 if new_data_top1 else None, new_data_top1)

                            new_idx_top2 = next_indices[1]
                            new_data_top2 = syllable_lines[new_idx_top2] if new_idx_top2 < num_lines else None

                            displayed_content[1] = (new_idx_top2 if new_data_top2 else None, new_data_top2)

                            trigger_1_pending_for_line = -1
                            last_trigger_1_line_completed = i

                        current_frame = processed_frames_end
                        if prev_mask_cp is not None: del prev_mask_cp
                        prev_mask_cp = mask_cp.copy() if mask_cp is not None else None

                        completed_global_line_indices.add(i)
                    else:
                         if i not in completed_global_line_indices:
                             completed_global_line_indices.add(i)

                    is_last_line = (active_local_idx == N - 1)
                    if is_last_line:

                        trigger_2_pending = True

                    del base_cp, all_syl_info

                else:

                     print(f"Aviso: Renderização para linha {i} inválida. Pulando GPU e preenchendo tempo.")
                     line_start_time = current_line_syllables[0][0]
                     line_start_frame = int(line_start_time * self.fps)
                     next_line_start_time = float('inf')
                     next_valid_line_idx = next((idx for idx in range(i + 1, num_lines) if syllable_lines[idx]), -1)
                     if next_valid_line_idx != -1: next_line_start_time = syllable_lines[next_valid_line_idx][0][0]
                     processing_end_time_for_line_i = min(next_line_start_time, video_end_time)
                     processing_end_frame = math.ceil(processing_end_time_for_line_i * self.fps)
                     processing_end_frame = min(processing_end_frame, total_frames)
                     effective_start_frame_for_processing = max(line_start_frame, current_frame)
                     num_frames_to_fill = max(0, processing_end_frame - effective_start_frame_for_processing)

                     if num_frames_to_fill > 0:

                          if prev_mask_cp is not None:
                               dummy_base_cp = cp.zeros_like(self.static_bg_frame_rgb_cp)
                               self.cuda_processor.process_frames_streaming(
                                   dummy_base_cp, prev_mask_cp, [], (-1, -1),
                                   video, video_lock, self.fps, current_frame, num_frames_to_fill,
                                   width, height, pbar, None, None, None,
                                   active_global_line_idx=-1,
                                   completed_global_line_indices=completed_global_line_indices,
                                   long_pauses=long_pauses
                               )
                               del dummy_base_cp
                          else:
                               fill_batch = np.tile(self.static_bg_frame_bgr_np, (num_frames_to_fill, 1, 1, 1))
                               with video_lock: video.write(fill_batch)
                               if pbar is not None: pbar.update(num_frames_to_fill)
                          current_frame += num_frames_to_fill
                     if render_data:
                         try: del render_data[0], render_data[1], render_data[2], render_data[3]
                         except: pass

            else:

                print(f"Aviso: Falha GERAL ao renderizar slots para linha {i}. Preenchendo tempo.")

                line_start_time = current_line_syllables[0][0]
                line_start_frame = int(line_start_time * self.fps)
                next_line_start_time = float('inf')
                next_valid_line_idx = next((idx for idx in range(i + 1, num_lines) if syllable_lines[idx]), -1)
                if next_valid_line_idx != -1: next_line_start_time = syllable_lines[next_valid_line_idx][0][0]
                processing_end_time_for_line_i = min(next_line_start_time, video_end_time)
                processing_end_frame = math.ceil(processing_end_time_for_line_i * self.fps)
                processing_end_frame = min(processing_end_frame, total_frames)
                effective_start_frame_for_processing = max(line_start_frame, current_frame)
                num_frames_to_fill = max(0, processing_end_frame - effective_start_frame_for_processing)
                if num_frames_to_fill > 0:

                    if prev_mask_cp is not None:
                         dummy_base_cp = cp.zeros_like(self.static_bg_frame_rgb_cp)
                         self.cuda_processor.process_frames_streaming(
                             dummy_base_cp, prev_mask_cp, [], (-1, -1),
                             video, video_lock, self.fps, current_frame, num_frames_to_fill,
                             width, height, pbar, None, None, None,
                             active_global_line_idx=-1,
                             completed_global_line_indices=completed_global_line_indices,
                             long_pauses=long_pauses
                         )
                         del dummy_base_cp
                    else:
                         fill_batch = np.tile(self.static_bg_frame_bgr_np, (num_frames_to_fill, 1, 1, 1))
                         with video_lock: video.write(fill_batch)
                         if pbar is not None: pbar.update(num_frames_to_fill)
                    current_frame += num_frames_to_fill
            cp.get_default_memory_pool().free_all_blocks()
        final_frames_to_fill = total_frames - current_frame
        if final_frames_to_fill > 0:

            if prev_mask_cp is not None:
                dummy_base_cp = cp.zeros_like(self.static_bg_frame_rgb_cp)
                final_fade_start_time = (current_frame / self.fps)
                final_fade_duration = 0.5
                final_fade_end_time = final_fade_start_time + final_fade_duration

                self.cuda_processor.process_frames_streaming(
                    dummy_base_cp, prev_mask_cp, [], (-1, -1),
                    video, video_lock, self.fps, current_frame, final_frames_to_fill,
                    width, height, pbar, prev_mask_cp,
                    final_fade_start_time, final_fade_end_time,
                    active_global_line_idx=-1,
                    completed_global_line_indices=completed_global_line_indices,
                    long_pauses=long_pauses
                )
                del dummy_base_cp
            else:
                fill_batch = np.tile(self.static_bg_frame_bgr_np, (final_frames_to_fill, 1, 1, 1))
                with video_lock:
                    video.write(fill_batch)
                if pbar is not None:
                    pbar.update(final_frames_to_fill)
                del fill_batch
            current_frame += final_frames_to_fill
        if pbar is not None:
            if pbar.n < pbar.total: pbar.update(pbar.total - pbar.n)
            pbar.close()

        video.release()
        if prev_mask_cp is not None: del prev_mask_cp

        del displayed_content[:]

def load_syllables(filepath="syllables.txt"):
    """Carrega o dicionário de sílabas do arquivo."""
    syllable_dict = {}
    not_found_words = set()
    try:
        with open(filepath, 'r', encoding='utf-8') as f:
            for line in f:
                line = line.strip()
                if not line or '|' not in line:
                    continue
                parts = line.split('|', 1)
                if len(parts) == 2:
                    word = parts[0].strip().lower()
                    syllables = parts[1].strip()
                    if word and syllables:
                        syllable_dict[word] = syllables
    except FileNotFoundError:
        print(f"Aviso: Arquivo de sílabas '{filepath}' não encontrado. O destaque será por palavra.")
    except Exception as e:
        print(f"Erro ao carregar arquivo de sílabas '{filepath}': {e}")
    return syllable_dict, not_found_words

def main():
    start_main_time = time.time()
    config = DEFAULT_CONFIG.copy()

    try:
        device = cp.cuda.Device(0)
        device.use()
    except cp.cuda.runtime.CUDARuntimeError as e:
        if 'no CUDA-capable device is detected' in str(e):
            print("Erro Crítico: Nenhuma GPU compatível com CUDA foi detectada.")
        elif 'CUDA driver version is insufficient' in str(e):
             print("Erro Crítico: O driver NVIDIA CUDA está desatualizado. Atualize seus drivers.")
        else:
            print(f"Erro Crítico: Falha ao inicializar CUDA: {e}")
        print("O script não pode continuar sem CUDA. Verifique sua instalação NVIDIA e CUDA.")
        return
    except Exception as e:
        print(f"Erro inesperado durante a inicialização da GPU: {e}")
        return

    try:
        process = psutil.Process()
        cpu_count = os.cpu_count()
        affinity = list(range(cpu_count))
        process.cpu_affinity(affinity)
    except (ImportError, AttributeError, OSError, ValueError) as e:

        print(f"Aviso: Não foi possível definir a afinidade da CPU (geralmente não é um problema): {e}")
        pass

    subtitle_file = config.get("default_subtitle_file", "legenda.psv")
    output_file = config.get("default_output_file", "video_karaoke_char_level.mp4")
    audio_file = "audio.wav"

    if not os.path.exists(subtitle_file):
        print(f"Erro Crítico: Arquivo de legenda '{subtitle_file}' não encontrado.")
        return
    if not os.path.exists(audio_file):
        print(f"Aviso: Arquivo de áudio '{audio_file}' não encontrado. A duração do vídeo será baseada apenas nas legendas.")

    try:
        text_renderer = TextRenderer(config)
        syllable_dict, not_found_words_set = load_syllables()
        subtitle_processor = SubtitleProcessor(text_renderer, config, syllable_dict, not_found_words_set)
    except Exception as e:
        print(f"Erro Crítico: Falha ao inicializar TextRenderer ou SubtitleProcessor: {e}")
        traceback.print_exc()
        return
    lines = []
    long_pauses = []
    video_width, _ = map(int, config["video_resolution"].split("x"))

    try:

        lines, long_pauses = subtitle_processor.process_subtitles_to_syllable_lines(subtitle_file, video_width)

        if not lines:
             if long_pauses:
                 print("Aviso: Nenhuma linha visual foi criada, mas pausas longas foram detectadas.")
             else:
                 print("Aviso: Nenhuma linha visual foi criada e nenhuma pausa longa detectada.")

        if long_pauses:
            print(f"Detectadas {len(long_pauses)} pausas longas (>= 5s).")

    except Exception as e:
        print(f"Erro Crítico: Falha ao processar legendas ou identificar pausas: {e}")
        traceback.print_exc()
        return
    if not lines and not long_pauses:
        print("Nenhuma linha visual ou pausa longa encontrada. Não é possível gerar o vídeo.")
        return

    try:
        karaoke_creator = KaraokeVideoCreator(config, text_renderer)

        karaoke_creator.create_video(lines, long_pauses, output_file, audio_file)

    except Exception as e:
        print(f"\nErro Crítico durante a criação do vídeo:")
        print(f"{e}")
        traceback.print_exc()
        print("\nO processo foi interrompido devido a um erro.")

    finally:
        cp.get_default_memory_pool().free_all_blocks()

    end_main_time = time.time()
    print(f"Finalizando Karaokê Creator. Tempo total do script: {time.strftime('%H:%M:%S', time.gmtime(end_main_time - start_main_time))}")

if __name__ == "__main__":
    main()