# split clips into train / val / test set
# From the list, split clips into train / val / test directories
import csv
import shutil
import os

# read clip_uid csv file save as list
def read_uid_csv(filename):
  with open(filename, 'r') as f:
      reader = csv.reader(f)
      uid_list = list(reader)
  return uid_list

def split_clips(clips_path, clips_split_path):
  subset = ['train', 'val', 'test']
  for split in subset:
    if split not in clip_csv_dict.keys():
      print("{} split is not in clip_csv_dict".format(split))
      continue
    clip_uids_list = read_uid_csv(clip_csv_dict[split])[0]
    os.makedirs(os.path.join(clips_split_path, split),exist_ok=True)
    # copy videos from clips_path into clips_split_path
    for clip_uid in clip_uids_list:
      clip_filename = clip_uid + '.mp4'
      src = os.path.join(clips_path, clip_filename)
      dst = os.path.join(clips_split_path, split, clip_filename)
      shutil.copy(src, dst)
      print('copied {} to {}'.format(src, dst))


clip_csv_dict = {
  'train': 'train_clip_uids.csv',
  'val': 'val_clip_uids.csv',
  'test': 'test_clip_uids.csv'
  }

ego4d_path = '/home/junhyeok/datasets/ego4d_dataset/v2/'
clips_path = os.path.join(ego4d_path, 'clips')
clips_split_path = os.path.join(ego4d_path, 'splits')
os.makedirs(clips_split_path, exist_ok=True)


def convert_csv_to_lines_and_save(csv_file_path, output_file_path):
    with open(csv_file_path, 'r') as file:
        csv_content = file.read().strip()

    lines = csv_content.split(',')

    # Join the lines with newline character '\n' to create the desired format
    converted_text = '\n'.join(lines)

    with open(output_file_path, 'w') as file:
        file.write(converted_text)

    print("Conversion completed. The result is saved to '{}'.".format(output_file_path))


convert_csv_to_lines_and_save('train_clip_uids.csv', 'train_clip_uids.txt')
convert_csv_to_lines_and_save('val_clip_uids.csv', 'val_clip_uids.txt')
convert_csv_to_lines_and_save('test_clip_uids.csv', 'test_clip_uids.txt')