# Refer codes: https://github.com/nguyenvulebinh/lyric-alignment/blob/main/data_preparation/README.md
# !pip install -q pydub
###########################################################################def

import os
import glob
import re
import random
import string

import json
from tqdm.contrib.concurrent import process_map  # or thread_map

from pydub import AudioSegment
from pydub.effects import strip_silence

import IPython.display as ipd
from IPython.display import Audio

import subprocess
from concurrent.futures import ProcessPoolExecutor
from multiprocessing import Pool
from tqdm import tqdm

import IPython.display as ipd
from IPython.display import Audio

import soundfile as sf
import librosa

###########################################################################def
def pydub_play(sound_file,start_time,end_time):
  """
  start_time, end_time = ms
  pydub_play('/content/songs/Anh_Cho_Em_Mùa_Xuân_ZZEB7E0F.mp3',37390,39250)

  """
  #from pydub import AudioSegment
  #import IPython.display as ipd
  #from IPython.display import Audio

  ext = sound_file[-3:]
  audio_file = AudioSegment.from_file(sound_file, format=ext)
  audio = audio_file[start_time:end_time]
  audio.export(f'demo.{ext}',format=ext)
  ipd.display(ipd.Audio(f'demo.{ext}'))


def torch_play(sound_file,start_time,end_time):
  """
  start_time, end_time = ms
  torch_play('/content/songs/Anh_Cho_Em_Mùa_Xuân_ZZEB7E0F.mp3',37390,39250)

  """
  import torchaudio
  import IPython.display as ipd
  from IPython.display import Audio

  waveform, sample_rate = torchaudio.load(sound_file)

  start_sample = int(start_time / 1000 * sample_rate)
  end_sample = int(end_time / 1000 * sample_rate)
  audio_to_play = waveform[:, start_sample:end_sample]
  torchaudio.save('output.wav', audio_to_play, sample_rate)
  ipd.display(Audio('output.wav'))



###########################################################################def

def file_wav_16k(args):
    """
    use for MFA alignment

    """
    
    input_sound, out_dir = args

    os.makedirs(out_dir, exist_ok=True)
    name = os.path.basename(input_sound)
    name = os.path.splitext(name)[0]
    output_sound= f'{out_dir}/{name}.wav'

    command = [
        "ffmpeg",
        "-y", "-i", input_sound,
        "-ar", "16000",  # Set sample rate to 16000 Hz
        "-ac", "1",      # Set number of channels to 2 (stereo)
        "-acodec", "pcm_s16le",  # Use WAV encoder
        output_sound
    ]

    try:
        subprocess.run(command, check=True,stderr=subprocess.DEVNULL)
    except subprocess.CalledProcessError as error:
        print(f"Conversion failed: {error}")



def folder_to_wav_16k(in_dir, out_dir):
    """ """
    os.makedirs(out_dir, exist_ok=True)
    files = glob.glob(f'{in_dir}/*.mp3') + glob.glob(f'{in_dir}/*.wav')

    with Pool() as pool:
        with tqdm(total=len(files), desc="Converting MP3 to WAV") as pbar:
            for _ in pool.imap_unordered(file_wav_16k, zip(files, [out_dir] * len(files))):  # Pass arguments as tuples
                pbar.update()

###########################################################################def


def check_file(filepath):
    """
    Hàm kiểm tra file âm thanh, nếu không hợp lệ thì xóa file đó.
    """
    try:
        # Đọc dữ liệu âm thanh với soundfile (sf)
        data, sample_rate = sf.read(filepath)
        return True  # Nếu file hợp lệ
    except Exception as e:
        # Nếu có lỗi, xóa file và thông báo lỗi
        os.remove(filepath)
        print(f"Removed {filepath} due to error: {e}")
        return False

def remove_invalid_sound(in_dir):
    """
    Hàm quét các file âm thanh trong thư mục, kiểm tra và xóa những file không hợp lệ.
    """
    # Lấy danh sách các file âm thanh trong thư mục
    files = glob.glob(f'{in_dir}/*.mp3') + glob.glob(f'{in_dir}/*.wav')

    print('Start multiprocessing')

    # Sử dụng multiprocessing Pool để xử lý nhiều file cùng lúc
    with Pool() as pool:
        results = []
        for file in files:
            # Đảm bảo args là một tuple (file,)
            result = pool.apply_async(check_file, args=(file,))
            results.append(result)

        pool.close()

        # Sử dụng tqdm để hiển thị thanh tiến độ
        for _ in tqdm(results, desc="Processing files"):
            _.get()

        pool.join()
        
        

def remove_bad_sound(x_files):
  """
  remove invalid/bad sound files in list x_files
  x_files = get_audio_files('/content/raw_data')
  remove_bad_sound(x_files)
  
  """
  #import os

  for filepath in tqdm(x_files):
    if not is_valid_sound(filepath):
      os.remove(filepath)
      print(f"\tDeleted invalid sound file: {filepath}")

###########################################################################def
def name_no_ext(folder,ext='txt'):
  """ """
  import os
  x_name = []
  files = os.listdir(folder)
  for file in files:
    if file.endswith(f'.{ext}'):
      name = os.path.splitext(file)[0]
      x_name.append(name)  
  return x_name


def the_same_name(dir_1,dir_2,ext1,ext2):
  """
  the_same_name(dir_1,dir_2,'TextGrid','mp3')

  """
  x1_name = name_no_ext(dir_1,ext1)
  x2_name = name_no_ext(dir_2,ext2)
  common = set(x1_name) & set(x2_name)
  return list(common)



def get_pair_files(dir_1,dir_2,ext1,ext2):
  """
  get_pair_files(dir_1,dir_2,'TextGrid','mp3')

  """
  x1_name = name_no_ext(dir_1,ext1)
  x2_name = name_no_ext(dir_2,ext2)
  common = set(x1_name) & set(x2_name)
  return list(common)



def remove_unpaired_files(folder_path,ext1,ext2):
  """
  remove_unpaired_files('/content/songs','mp3','lrc')

  """  
  x_common = the_same_name(folder_path,folder_path,ext1,ext2)
  
  files = glob.glob(f'{folder_path}/*')
  len(files)
  for file in files:
    name = os.path.basename(file)
    name = os.path.splitext(name)[0]
    if name not in x_common:
      print(file)
      os.system(f'rm -f "{file}"')
      
###########################################################################def

time_lyric_regex = r"[\[|<](\d\d):(\d\d.\d\d)[\]|>](.*)"
time_regex = r"[\[|<](\d\d):(\d\d.\d\d)[\]|>]"

def ignore_line(text):
    text_lower = text.lower().replace(' ', '').strip(' -.?!,)("\'…“”*_[]')
    if text_lower.startswith('bàihát:') or text_lower.startswith('casĩ:') or text_lower.startswith('cakhúc:') or text_lower.startswith('sángtác:') or text_lower.startswith('trìnhbày:') or text_lower.startswith('lyricby:') or text_lower.startswith('đk') :
        return True
    if len(text.strip(' -.?!,)("\'…“”*_[]')) == 0:
        return True
    return False

def ignore_file(text):
    matches = list(re.finditer(time_regex, text, re.MULTILINE))
    if len(matches) > 0:
        return True
    

def handle_lrc(file_path):
    with open(file_path, 'r', encoding='utf-8') as file:
        lines = file.read().strip().split('\n')
    
    timestamp = []
    text = []
    
    label = []
    try:
        for line in lines:
            matches = list(re.finditer(time_lyric_regex, line, re.MULTILINE))
            if len(matches) > 0:
                if ignore_file(matches[0].group(3)):
                    return
                if not ignore_line(matches[0].group(3)):
                    start_time = int(float(matches[0].group(1)) * 60 * 1000) + int(float(matches[0].group(2)) * 1000)
                    timestamp.append(start_time)
                    text.append(matches[0].group(3).strip())
                    
    except:
        print(file_path)
        return
    
    timestamp = timestamp[3:]
    text = text[3:]
    # print(len(text),len(timestamp))
    return text, timestamp  

###########################################################################def
def random_name(num_letters=5):
  """
  """
  #import random
  #import string

  random_letters = random.choices(string.ascii_lowercase, k=num_letters)
  random_string = ''.join(random_letters)

  random_number = random.randint(10000, 99999)
  out = f'{random_string}_{random_number}'
  return out

###########################################################################def
# 3 parameters
# args = sound_file,out_dir,num_seq   

def pydub_split(args):
  """
  start_time, end_time = ms
  args = sound_file,out_dir,num_seq   
  
  """
  import os
  from pydub import AudioSegment

  sound_file,out_dir,num_seq = args   # 3 parameters

  os.makedirs(out_dir, exist_ok=True)

  subtile_file = f'{sound_file[:-4]}.lrc'
  text, timestamp = handle_lrc(subtile_file)

  ext = sound_file[-3:]
  audio_file = AudioSegment.from_file(sound_file, format=ext)

  for k in range(len(text)):
    #print(k)
    if k+num_seq < len(text):
      sentence = " ".join(text[k:k+num_seq])
      dur = timestamp[k+num_seq] - timestamp[k]
      len_text = len(sentence.split())
      if dur < 20000:
        new_name = random_name(5)
        audio = audio_file[timestamp[k]:timestamp[k+num_seq]]
        audio.set_channels(1).export(f'{out_dir}/{new_name}.mp3',format='mp3',bitrate='256k')
        with open(f'{out_dir}/{new_name}.lab','w') as f:
          f.write(sentence.lower())
      else:
        sentence = " ".join(text[k:k+num_seq-1])
        dur = timestamp[k+num_seq-1] - timestamp[k]
        if dur < 20000:
          new_name = random_name(5)
          audio = audio_file[timestamp[k]:timestamp[k+num_seq-1]]
          audio.set_channels(1).export(f'{out_dir}/{new_name}.mp3',format='mp3',bitrate='256k')
          with open(f'{out_dir}/{new_name}.lab','w') as f:
            f.write(sentence.lower())
    # the last
    elif k+num_seq == len(text):
      sentence = " ".join(text[k:k+num_seq])
      dur = timestamp[-1] - timestamp[k]
      len_text = len(sentence.split())
      if dur < 20000:
        new_name = random_name(5)
        audio = audio_file[timestamp[k]:timestamp[-1]]
        audio.set_channels(1).export(f'{out_dir}/{new_name}.mp3',format='mp3',bitrate='256k')
        with open(f'{out_dir}/{new_name}.lab','w') as f:
          f.write(sentence.lower())


def _zing_split(in_dir, out_dir,num_seq=4):
    """ """
    os.makedirs(out_dir, exist_ok=True)
    files = glob.glob(f'{in_dir}/*.mp3')

    with Pool() as pool:
        with tqdm(total=len(files), desc="Split pair files: mp3+lab") as pbar:
            for _ in pool.imap_unordered(pydub_split, zip(files, [out_dir] * len(files), [num_seq] * len(files))):
                pbar.update()

###########################################################################def
def remove_bad_lrc(lrc_dir):
  """
  """
  import os
  import glob
  from tqdm import tqdm
  
  files = glob.glob(f'{lrc_dir}/*.lrc')
  print(f'num_files: {len(files)}')
  for file in tqdm(files):
    try:
      text, timestamp = handle_lrc(file)
    except Exception as e:
      print(f"Error in splitting files: {e}")
      os.remove(file)
      print(f'removed {file}')  

###########################################################################def
def _split_1(args):
  """
  start_time, end_time = ms
  slide window + overlay 
  
  """
  #import os
  #from pydub import AudioSegment

  sound_file,out_dir,num_seg = args   # 3 parameters

  #os.makedirs(out_dir, exist_ok=True)

  subtile_file = f'{sound_file[:-4]}.lrc'
  text, timestamp = handle_lrc(subtile_file)

  ext = sound_file[-3:]
  audio_file = AudioSegment.from_file(sound_file, format=ext)

  for k in range(len(text)):
    if k+num_seg < len(text):
      sentence = " ".join(text[k:k+num_seg])
      #print(sentence)
      dur = timestamp[k+num_seg] - timestamp[k]
      len_text = len(sentence.split())
      if dur < 30000:
        new_name = random_name(5)
        audio = audio_file[timestamp[k]:timestamp[k+num_seg]]
        audio.export(f'{out_dir}/{new_name}.mp3',format='mp3',bitrate='256k')
        with open(f'{out_dir}/{new_name}.lab','w') as f:
          f.write(sentence.lower())
      else:
        sentence = " ".join(text[k:k+num_seg-1])
        #print(sentence)
        dur = timestamp[k+num_seg-1] - timestamp[k]
        if dur < 30000:
          new_name = random_name(5)
          audio = audio_file[timestamp[k]:timestamp[k+num_seg-1]]
          audio.export(f'{out_dir}/{new_name}.mp3',format='mp3',bitrate='256k')
          with open(f'{out_dir}/{new_name}.lab','w') as f:
            f.write(sentence.lower())
    # the last
    elif k+num_seg == len(text):
      sentence = " ".join(text[k:k+num_seg])
      #print(sentence)
      dur = timestamp[-1] - timestamp[k]
      len_text = len(sentence.split())
      if dur < 30000:
        new_name = random_name(5)
        audio = audio_file[timestamp[k]:timestamp[-1]]
        audio.export(f'{out_dir}/{new_name}.mp3',format='mp3',bitrate='256k')
        with open(f'{out_dir}/{new_name}.lab','w') as f:
          f.write(sentence.lower())


def _split_2(args):
  """
  start_time, end_time = ms
  slide window, no overlay
  
  """
  #import os
  #from pydub import AudioSegment

  sound_file,out_dir,num_seg = args   # 3 parameters

  #os.makedirs(out_dir, exist_ok=True)

  subtile_file = f'{sound_file[:-4]}.lrc'
  text, timestamp = handle_lrc(subtile_file)

  ext = sound_file[-3:]
  audio_file = AudioSegment.from_file(sound_file, format=ext)

  for k in range(0,len(text),num_seg):
    #print(k)
    if k + num_seg < len(text):
      sentence = " ".join(text[k:k+num_seg])
      #print(sentence)
      dur = timestamp[k+num_seg] - timestamp[k]
      len_text = len(sentence.split())
      if dur < 30000:
        new_name = random_name(5)
        audio = audio_file[timestamp[k]:timestamp[k+num_seg]]
        audio.export(f'{out_dir}/{new_name}.mp3',format='mp3',bitrate='256k')
        with open(f'{out_dir}/{new_name}.lab','w') as f:
          f.write(sentence.lower())
      else:
        sentence = " ".join(text[k:k+num_seg-1])
        #print(sentence)
        dur = timestamp[k+num_seg-1] - timestamp[k]
        if dur < 30000:
          new_name = random_name(5)
          audio = audio_file[timestamp[k]:timestamp[k+num_seg-1]]
          audio.export(f'{out_dir}/{new_name}.mp3',format='mp3',bitrate='256k')
          with open(f'{out_dir}/{new_name}.lab','w') as f:
            f.write(sentence.lower())
    else: # the last
      sentence = " ".join(text[k:])
      #print(sentence)
      dur = timestamp[-1] - timestamp[k]
      len_text = len(sentence.split())
      if dur < 30000:
        new_name = random_name(5)
        audio = audio_file[timestamp[k]:timestamp[-1]]
        audio.export(f'{out_dir}/{new_name}.mp3',format='mp3',bitrate='256k')
        with open(f'{out_dir}/{new_name}.lab','w') as f:
          f.write(sentence.lower())



def _zing_split(in_dir, out_dir,num_seg=4,overlay='yes'):
    """ """
    import os
    import glob
    
    os.makedirs(out_dir, exist_ok=True)
    files = glob.glob(f'{in_dir}/*.mp3')

    with Pool() as pool:
        with tqdm(total=len(files), desc="Split pair files: mp3+lab") as pbar:
            if overlay.lower() == 'yes':
              for _ in pool.imap_unordered(split_1, zip(files, [out_dir] * len(files), [num_seg] * len(files))):
                  pbar.update()
            else:
              for _ in pool.imap_unordered(split_2, zip(files, [out_dir] * len(files), [num_seg] * len(files))):
                  pbar.update()


def _zing_split(in_dir, out_dir,num_seg=4,overlay='yes'):
    """ """
    import os
    import glob
    
    os.makedirs(out_dir, exist_ok=True)
    files = glob.glob(f'{in_dir}/*.mp3')

    with Pool() as pool:
        with tqdm(total=len(files), desc="Split pair files: mp3+lab") as pbar:
            try:
              if overlay.lower() == 'yes':
                for _ in pool.imap_unordered(split_1, zip(files, [out_dir] * len(files), [num_seg] * len(files))):
                    pbar.update()
              else:
                for _ in pool.imap_unordered(split_2, zip(files, [out_dir] * len(files), [num_seg] * len(files))):
                    pbar.update()
            except:
              pass
###########################################################################def

def check_and_remove_empty_folder(folder_path):
    """
    """
    if os.path.exists(folder_path):
        if not os.listdir(folder_path):
            os.rmdir(folder_path)
            print(f"Removed empty directory: {folder_path}")


def split_one(sound_file,out_dir,num_seg):
  """
  This use for manual transcription checking, augmentation  
  
  """
  import os

  song_name = random_name(5)
  out_dir = f'{out_dir}/{song_name}'
  os.makedirs(out_dir, exist_ok=True)   

  try:
    subtile_file = f'{sound_file[:-4]}.lrc'
    text, timestamp = handle_lrc(subtile_file)

    ext = sound_file[-3:]
    audio_file = AudioSegment.from_file(sound_file, format=ext)

    for k in range(len(text)):
      if k+num_seg < len(text):
        sentence = " ".join(text[k:k+num_seg])
        #print(sentence)
        dur = timestamp[k+num_seg] - timestamp[k]
        len_text = len(sentence.split())
        if dur < 30000:
          #print(k)
          new_name = f'{song_name}_{k:02d}'
          audio = audio_file[timestamp[k]:timestamp[k+num_seg]]
          audio.set_channels(1).export(f'{out_dir}/{new_name}.mp3',format='mp3',bitrate='256k')
          with open(f'{out_dir}/{new_name}.lab','w') as f:
            #f.write(sentence.lower())
            f.write(sentence)
        else:
          sentence = " ".join(text[k:k+num_seg-1])
          #print(sentence)
          dur = timestamp[k+num_seg-1] - timestamp[k]
          if dur < 30000:
            #print(k)
            new_name = f'{song_name}_{k:02d}'
            audio = audio_file[timestamp[k]:timestamp[k+num_seg-1]]
            audio.set_channels(1).export(f'{out_dir}/{new_name}.mp3',format='mp3',bitrate='256k')
            with open(f'{out_dir}/{new_name}.lab','w') as f:
              #f.write(sentence.lower())
              f.write(sentence)
      # the last
      elif k+num_seg == len(text):
        sentence = " ".join(text[k:k+num_seg])
        #print(sentence)
        dur = timestamp[-1] - timestamp[k]
        len_text = len(sentence.split())
        if dur < 30000:
          #print(k)
          new_name = f'{song_name}_{k:02d}'
          audio = audio_file[timestamp[k]:timestamp[-1]]
          audio.set_channels(1).export(f'{out_dir}/{new_name}.mp3',format='mp3',bitrate='256k')
          with open(f'{out_dir}/{new_name}.lab','w') as f:
            #f.write(sentence.lower())
            f.write(sentence)

  except Exception as e:
    print(f"\nError processing {sound_file}: {e}")

  check_and_remove_empty_folder(out_dir)
  # Finished


def mp_split_one(in_dir,out_dir):
    """
    """
    import os
    import glob

    from tqdm import tqdm
    from multiprocessing import Pool
    
    os.makedirs(out_dir, exist_ok=True)
    files = glob.glob(f'{in_dir}/*.mp3') + glob.glob(f'{in_dir}/*.wav')

    print('Start multiprocessing')
    
    with Pool() as pool:
        results = [pool.apply_async(split_one, args=(file, out_dir, 1)) for file in files]
    
        # Dùng tqdm để hiển thị tiến trình
        for result in tqdm(results, desc="Processing files"):
            result.get()  # Đảm bảo chờ quá trình hoàn thành


###########################################################################def
# Split sounds from Audacity transcription

def audacity_split_one(audio_file,out_dir):
    """
    """
    import os

    song_name = random_name(5)
    out_dir = f'{out_dir}/{song_name}'
    os.makedirs(out_dir, exist_ok=True)   

    # Đọc file âm thanh
    y, sr = librosa.load(audio_file, sr=None)

    # Đọc nội dung từ file text
    subtile_file = f'{audio_file[:-4]}.txt'
    with open(subtile_file, 'r', encoding='utf-8') as f:
        lines = f.readlines()

    # Lặp qua từng dòng trong file transcription để cắt và lưu file
    for i, line in enumerate(lines):
        parts = line.strip().split('\t')
        start_time = float(parts[0])
        end_time = float(parts[1])
        content = parts[2] if len(parts) > 2 else ""
        #print(content)

        start_sample = int(start_time * sr)
        end_sample = int(end_time * sr)

        # Cắt đoạn âm thanh
        segment = y[start_sample:end_sample]

        # Tạo tên file cho đoạn âm thanh
        segment_file = f'{out_dir}/{song_name}_{i+1:02d}.mp3'
        
        # Lưu đoạn âm thanh
        sf.write(segment_file, segment, sr)
        #print(f'Saved: {segment_file}')

        # Tạo file lab tương ứng
        with open(f'{out_dir}/{song_name}_{i+1:02d}.lab', 'w', encoding='utf-8') as lab_file:
            lab_file.write(content)
    print(f'\nSaved to {out_dir}')            



def mp_audacity(in_dir,out_dir):
    """
    """
    import os
    import glob

    from tqdm import tqdm
    from multiprocessing import Pool
    
    os.makedirs(out_dir, exist_ok=True)
    files = glob.glob(f'{in_dir}/*.mp3') + glob.glob(f'{in_dir}/*.wav')

    print('Start multiprocessing')
    
    with Pool() as pool:
        results = [pool.apply_async(audacity_split_one, args=(file, out_dir)) for file in files]
    
        # Dùng tqdm để hiển thị tiến trình
        for result in tqdm(results, desc="Processing files"):
            result.get()  # Đảm bảo chờ quá trình hoàn thành



###########################################################################def

def split_1(sound_file,out_dir,num_seg):
  """
  start_time, end_time = ms
  slide window + overlay 
  
  """
  try:
    subtile_file = f'{sound_file[:-4]}.lrc'
    text, timestamp = handle_lrc(subtile_file)

    ext = sound_file[-3:]
    audio_file = AudioSegment.from_file(sound_file, format=ext)

    for k in range(len(text)):
      if k+num_seg < len(text):
        sentence = " ".join(text[k:k+num_seg])
        #print(sentence)
        dur = timestamp[k+num_seg] - timestamp[k]
        len_text = len(sentence.split())
        if dur < 30000:
          new_name = random_name(5)
          audio = audio_file[timestamp[k]:timestamp[k+num_seg]]
          audio.set_channels(1).export(f'{out_dir}/{new_name}.mp3',format='mp3',bitrate='256k')
          with open(f'{out_dir}/{new_name}.lab','w') as f:
            #f.write(sentence.lower())
            f.write(sentence)
        else:
          sentence = " ".join(text[k:k+num_seg-1])
          #print(sentence)
          dur = timestamp[k+num_seg-1] - timestamp[k]
          if dur < 30000:
            new_name = random_name(5)
            audio = audio_file[timestamp[k]:timestamp[k+num_seg-1]]
            audio.set_channels(1).export(f'{out_dir}/{new_name}.mp3',format='mp3',bitrate='256k')
            with open(f'{out_dir}/{new_name}.lab','w') as f:
              #f.write(sentence.lower())
              f.write(sentence)
      # the last
      elif k+num_seg == len(text):
        sentence = " ".join(text[k:k+num_seg])
        #print(sentence)
        dur = timestamp[-1] - timestamp[k]
        len_text = len(sentence.split())
        if dur < 30000:
          new_name = random_name(5)
          audio = audio_file[timestamp[k]:timestamp[-1]]
          audio.set_channels(1).export(f'{out_dir}/{new_name}.mp3',format='mp3',bitrate='256k')
          with open(f'{out_dir}/{new_name}.lab','w') as f:
            #f.write(sentence.lower())
            f.write(sentence)

  except Exception as e:
    print(f"\nError processing {sound_file}: {e}")



def split_2(sound_file,out_dir,num_seg):
  """
  start_time, end_time = ms
  slide window, no overlay
  
  """

  try:
    subtile_file = f'{sound_file[:-4]}.lrc'
    text, timestamp = handle_lrc(subtile_file)

    ext = sound_file[-3:]
    audio_file = AudioSegment.from_file(sound_file, format=ext)

    for k in range(0,len(text),num_seg):
      #print(k)
      if k + num_seg < len(text):
        sentence = " ".join(text[k:k+num_seg])
        #print(sentence)
        dur = timestamp[k+num_seg] - timestamp[k]
        len_text = len(sentence.split())
        if dur < 30000:
          new_name = random_name(5)
          audio = audio_file[timestamp[k]:timestamp[k+num_seg]]
          audio.set_channels(1).export(f'{out_dir}/{new_name}.mp3',format='mp3',bitrate='256k')
          with open(f'{out_dir}/{new_name}.lab','w') as f:
            #f.write(sentence.lower())
            f.write(sentence)
        else:
          sentence = " ".join(text[k:k+num_seg-1])
          #print(sentence)
          dur = timestamp[k+num_seg-1] - timestamp[k]
          if dur < 30000:
            new_name = random_name(5)
            audio = audio_file[timestamp[k]:timestamp[k+num_seg-1]]
            audio.set_channels(1).export(f'{out_dir}/{new_name}.mp3',format='mp3',bitrate='256k')
            with open(f'{out_dir}/{new_name}.lab','w') as f:
              #f.write(sentence.lower())
              f.write(sentence)
      else: # the last
        sentence = " ".join(text[k:])
        #print(sentence)
        dur = timestamp[-1] - timestamp[k]
        len_text = len(sentence.split())
        if dur < 30000:
          new_name = random_name(5)
          audio = audio_file[timestamp[k]:timestamp[-1]]
          audio.set_channels(1).export(f'{out_dir}/{new_name}.mp3',format='mp3',bitrate='256k')
          with open(f'{out_dir}/{new_name}.lab','w') as f:
            #f.write(sentence.lower())
            f.write(sentence)

  except Exception as e:
    print(f"\nError processing {sound_file}: {e}")



def zing_split(in_dir, out_dir, num_seg=4, overlay='yes'):
    """Split audio files into multiple segments using multiprocessing."""
    import os
    import glob

    from tqdm import tqdm
    from multiprocessing import Pool


    os.makedirs(out_dir, exist_ok=True)
    files = glob.glob(f'{in_dir}/*.mp3')

    print('Multiprocessing...')
    with Pool() as pool:
        results = []
        for file in files:
            if overlay.lower() == 'yes':
                result = pool.apply_async(split_1, args=(file, out_dir, num_seg))
            else:
                result = pool.apply_async(split_2, args=(file, out_dir, num_seg))
            results.append(result)

        pool.close()

        # Use tqdm to display the progress bar
        for _ in tqdm(results, desc="Processing files"):
            _.get()

        pool.join()


###########################################################################def

def trim_head_tail(sound,head_threshold=-30, tail_threshold=-40, chunk_size=10):
  """
  sound = AudioSegment.from_file(wav_in)

  """
  #from pydub import AudioSegment
  
  forward = sound
  reverse = sound.reverse()
  dur1 = 0 # ms
  dur2 = 0 # ms
  sound_len = len(sound)

  assert chunk_size > 0 # to avoid infinite loop
  while forward[dur1:dur1+chunk_size].dBFS < head_threshold and dur1 < len(forward):
      dur1 += chunk_size
      forward = sound[dur1:]

  while reverse[dur2:dur2+chunk_size].dBFS < tail_threshold and dur2 < len(reverse):
      dur2 += chunk_size
      reverse = sound[dur2:]
  
  #print(dur1,dur2)
  sound = sound[dur1:sound_len-dur2]
  #print(f"trim: heading={dur1}ms, tail={dur2}ms")
  return sound

def trim_middle(sound,silence_len=250, silence_thresh=-35, padding=100):
  """
  sound = AudioSegment.from_file(sound_file)
  if found silence_len(ms) < silence_thresh(dB) will be replace with padding(ms)
  """  
  #from pydub.effects import strip_silence
  #before_len = len(sound)
  trimed_sound = strip_silence(sound, silence_len=silence_len, silence_thresh=silence_thresh, padding=padding)
  #after_len = len(trimed_sound)
  #print(f'trimed: {before_len - after_len}ms')
  return trimed_sound


def _del_silence_file(args):
  """ """
  sound_file, out_folder = args

  try:
    sound = AudioSegment.from_file(sound_file)
    trim1 = trim_middle(sound, silence_len=150, silence_thresh=-35, padding=5)
    trim2 = trim_head_tail(trim1, head_threshold=-30, tail_threshold=-50, chunk_size=10)
    trim2.export(f"{out_folder}/{os.path.basename(sound_file)}", format=sound_file[-3:],bitrate='256k')
  except Exception as e:
    #print(f"Error processing {sound_file}: {e}")
    pass


def del_silence_file(sound_file, out_folder):
  """ """
  #sound_file, out_folder = args

  try:
    sound = AudioSegment.from_file(sound_file)
    trim1 = trim_middle(sound, silence_len=200, silence_thresh=-35, padding=100)
    trim2 = trim_head_tail(trim1, head_threshold=-30, tail_threshold=-50, chunk_size=10)
    #trim2.export(f"{out_folder}/{os.path.basename(sound_file)}", format=sound_file[-3:],bitrate='256k')
    trim2.set_channels(1).export(f"{out_folder}/{os.path.basename(sound_file)}", format=sound_file[-3:], bitrate='256k')

  except Exception as e:
    #print(f"Error processing {sound_file}: {e}")
    pass



def _del_silence_folder(in_dir, out_dir):
    """ """
    os.makedirs(out_dir, exist_ok=True)
    files = glob.glob(f'{in_dir}/*.mp3')

    with Pool() as pool:
        with tqdm(total=len(files), desc="Remove silence") as pbar:
            for _ in pool.imap_unordered(del_silence_file, zip(files, [out_dir] * len(files))):  # Pass arguments as tuples
                pbar.update()


def _del_silence_folder(in_dir, out_dir):
    """ """
    os.makedirs(out_dir, exist_ok=True)
    files = glob.glob(f'{in_dir}/*.mp3') + glob.glob(f'{in_dir}/*.wav')
    
    for file in tqdm(files):
      del_silence_file(file, out_dir)



def del_silence_folder(in_dir,out_dir):
    """
    """
    import os
    import glob

    from tqdm import tqdm
    from multiprocessing import Pool


    os.makedirs(out_dir, exist_ok=True)
    files = glob.glob(f'{in_dir}/*.mp3')

    print('Multiprocessing...')
    with Pool() as pool:
        results = []
        for file in files:
            result = pool.apply_async(del_silence_file, args=(file, out_dir))
            results.append(result)

        pool.close()

        # Use tqdm to display the progress bar
        for _ in tqdm(results, desc="Processing files"):
            _.get()

        pool.join()

###########################################################################def

def play_pair(audio_file,lab_ext='lab'):
  """ """
  #import IPython.display as ipd
  #from IPython.display import Audio
  text = open(f'{audio_file[:-4]}.{lab_ext}').read()
  print(text)
  ipd.display(ipd.Audio(audio_file))


def play_random(sound_dir,num_sound=5):
  """
  play random sounds in folder
  
  """
  import glob
  import random

  files = glob.glob(f'{sound_dir}/*.mp3') + glob.glob(f'{sound_dir}/*.wav')
  print(f'Number of sound files: {len(files)}\n')
  k = random.randint(0,len(files)-num_sound)

  for file in files[k:k+num_sound]:
    print(file)
    play_pair(file)  





def test_subtitle(sound_file,num_seq=4):
  """
  files = glob.glob('/content/Hà_Trần_Vocals/*.mp3')
  files.sort()
  for file in files[:5]:
    print(file)
    test_subtitle(file,3)
  
  """
  import os
  import random
  from pydub import AudioSegment
 
  out_dir = "tmp_dir"
  os.makedirs(out_dir, exist_ok=True)
  os.system(f"rm -f {out_dir}/*")


  subtile_file = f'{sound_file[:-4]}.lrc'
  text, timestamp = handle_lrc(subtile_file)

  ext = sound_file[-3:]
  audio_file = AudioSegment.from_file(sound_file, format=ext)

  for k in range(5):
    #print(k)
    if k+num_seq < len(text):
      sentence = " ".join(text[k:k+num_seq])
      dur = timestamp[k+num_seq] - timestamp[k]
      len_text = len(sentence.split())
      if dur < 20000:
        new_name = random_name(5)
        audio = audio_file[timestamp[k]:timestamp[k+num_seq]]
        audio.export(f'{out_dir}/{new_name}.mp3',format='mp3',bitrate='256k')
        with open(f'{out_dir}/{new_name}.lab','w') as f:
          f.write(sentence.lower())

  files = glob.glob(f'{out_dir}/*.mp3')
  print(f'num_samples: {len(files)}')
  k = random.randint(0,2)
  play_pair(files[k])
  #for file in files[:1]:
  #  play_pair(file)


###########################################################################def
def _split_folder(in_dir,out_dir,pair_ext=['mp3','lrc'],window=20):
  """
  in_dir = '/content/Thu_Phuong_clean'
  out_dir = '/content/Thu_Phuong_recheck'
  split_folder(in_dir,out_dir,pair_ext=['mp3','lrc'],window=20)

  """
  import glob
  from tqdm import tqdm
  import shutil

  ext1 = pair_ext[0]  # mp3/wav
  ext2 = pair_ext[1]  # lab/txt

  files = glob.glob(f'{in_dir}/*.{ext1}')
  print(f'Number of files: {len(files)}')  
  
  for i in tqdm(range(len(files) // window)):
    move_files = files[i * window: (i + 1) * window]
    dir_name = f"{out_dir}/{i:04d}"
    os.makedirs(dir_name, exist_ok=True)    
    for file in move_files:
      shutil.copy(file,dir_name)
      shutil.copy(f'{file[:-4]}.{ext2}',dir_name)



def split_folder(in_dir,out_dir,pair_ext=['mp3','lrc'],window=20):
  """
  in_dir = '/content/Thu_Phuong_clean'
  out_dir = '/content/Thu_Phuong_recheck'
  split_folder(in_dir,out_dir,pair_ext=['mp3','lrc'],window=20)
  split_folder(in_dir,out_dir,pair_ext=['mp3','lab'],window=20)

  """
  import glob
  from tqdm import tqdm
  import shutil

  ext1 = pair_ext[0]  # mp3/wav
  ext2 = pair_ext[1]  # lab/txt

  pair_files = get_pair_files(in_dir,in_dir,ext1,ext2)
  for i in tqdm(range(len(pair_files) // window)):
    copy_files = pair_files[i * window: (i + 1) * window]
    
    dir_name = f"{out_dir}/{i:04d}"
    os.makedirs(dir_name, exist_ok=True)
    for name in copy_files:   
      file1 = f'{in_dir}/{name}.{ext1}'
      file2 = f'{in_dir}/{name}.{ext2}'
      shutil.copy(file1,dir_name)
      shutil.copy(file2,dir_name)      


def combine_pair(in_dir,out_dir):
  """
  copy all files in subfolders to a target folder
  make pair files (mp3+lab), remove unpaired files

  """
  import os
  import shutil
  from tqdm import tqdm

  os.makedirs(out_dir, exist_ok=True)    

  x_files = []
  for path, subdirs, files in os.walk(in_dir):
    for file in files:
      full_path = os.path.join(path, file)
      x_files.append(full_path)

  for file in tqdm(x_files):
    shutil.copy(file,out_dir)
  print(f"\nCopied {len(x_files)} files to {out_dir}")

  # make pair files
  remove_unpaired_files(f'{out_dir}','mp3','lab')
  files = glob.glob(f'{out_dir}/*.mp3')
  print('-'*100)
  print(f'Final number of MP3 files: {len(files)}')
  print('-'*100)



###########################################################################def
# Check and delete bad files with: play_wav, checkbox, text/lab

def show_audio(folder_path,start_id,end_id):
  """
  """
  import os
  import glob

  from IPython.display import Audio, display
  import ipywidgets as widgets

  files = [file for file in os.listdir(folder_path) if file.endswith('.mp3') or file.endswith('.wav')]
  files.sort()
  delete_checkboxes = [widgets.Checkbox(description=file, value=False) for file in files[start_id:end_id]]

  for checkbox, file in zip(delete_checkboxes, files[start_id:end_id]):
      name = os.path.splitext(file)[0]
      text = open(f'{folder_path}/{name}.lab').read()
      print('-'*100)
      print(text)
      display(checkbox, Audio(folder_path + '/' + file))

  return delete_checkboxes,files[start_id:end_id]


def remove_files(folder_path, delete_checkboxes, files):
  """
  """
  import os
  from tqdm import tqdm

  files_to_delete = [file for checkbox, file in zip(delete_checkboxes, files) if checkbox.value]
  for file in tqdm(files_to_delete):
    file_path = f'{folder_path}/' + file
    print(file_path)
    os.remove(file_path)

###########################################################################def

def get_audio_files(folder_path):
  """
  x_files = get_audio_files('/content/raw_data')
  
  """
  import os

  audio_files = []
  for root, _, files in os.walk(folder_path):
    for filename in files:
      if filename.endswith(".mp3") or filename.endswith(".wav"):
        filepath = os.path.join(root, filename)
        audio_files.append(filepath)
  return audio_files

def get_dur(sound_file):
  """ """
  x,sr = sf.read(sound_file)
  dur = x.size/sr # unit = senconds(s)
  return dur


def total_time(elapsed_time):
  """    
  total_dur = 0
  for file in tqdm(x_files):
  dur = get_dur(file)
  total_dur = total_dur + dur
  
  total_time(int(total_dur))
  > 15h:17m:50s
  
  """
  if elapsed_time < 60:
    print(f"\n{elapsed_time:02d}s")

  elif elapsed_time >=60 and elapsed_time < 3600:
    minutes, seconds = divmod(elapsed_time, 60)
    print(f"\n{minutes:02d}m:{seconds:02d}s")

  else:
    hours, remainder = divmod(elapsed_time, 3600)
    minutes, seconds = divmod(remainder, 60)
    print(f"\nTotal time: {hours}h:{minutes:02d}m:{seconds:02d}s")


def report_time(folder):
  """
  report_time('/content/Ha_Tran_clean_small_dirs/0000')
  > Total time: 2h:40m:33s
  
  """
  x_files = get_audio_files(folder)

  total_dur = 0
  for file in tqdm(x_files):
    dur = get_dur(file)
    total_dur = total_dur + dur
  
  total_time(int(total_dur))

###########################################################################def

def clean_lab(lab_dir,min_len=8,max_len=25):
  """
  """
  import glob
  from tqdm import tqdm
  import os

  count = 0
  files = glob.glob(f'{lab_dir}/*.lab')
  print(f'num_files: {len(files)}')
  for file in tqdm(files):
    words =open(file).read()
    words = words.split()
    if len(words) > max_len or len(words) < min_len:
      os.remove(file)
      count = count + 1
  print(f'\nDeleted {count} files')


###########################################################################def