import os
import numpy as np
import math
import glob
import fire 
import shutil

def main(scale_folder_name):
    all_scale_dir = glob.glob(f'{scale_folder_name}/*')

    for scale in all_scale_dir:
        scale_percent = scale.split('/')[-1].split('_')[-1]
        scale_percent = float(scale_percent)/100
        print(scale_percent)
        split_dir = glob.glob(scale + '/*')
        for split in split_dir:
            # modify file auto_lang_
            auto_lang_ann_path = os.path.join(split, "lang_annotations/auto_lang_ann.npy")
            auto_lang_ann = np.load(auto_lang_ann_path, allow_pickle=True).item()
            
            lang_ann = auto_lang_ann['language']['ann']
            lang_task = auto_lang_ann['language']['ann']
            trajectories = auto_lang_ann['info']['indx']
            
            length = len(lang_ann)
            assert len(lang_ann) == len(lang_task) == len(trajectories) == length
            
            auto_lang_ann['language']['ann'] = lang_ann[:math.ceil(length*scale_percent)]
            auto_lang_ann['language']['task'] = lang_task[:math.ceil(length*scale_percent)]
            auto_lang_ann['info']['indx'] = trajectories[:math.ceil(length*scale_percent)]
            
            np.save(auto_lang_ann_path, auto_lang_ann)
            
            # dummy .npz file to bypass lookup_naming_pattern
            shutil.copy(
                src= "calvin_debug_dataset/training/episode_0358484.npz",
                dst= os.path.join(split)
            )
            

if __name__ == '__main__':
  fire.Fire(main)