prepare_presets.py

import json
import argparse
import glob

def remove_items_with_keywords(json_file_path):
    keywords = ["pretrained_model_name_or_path", "train_dir", "output_dir", "logging_dir", "image_folder", "dir", "caption_metadata_filename", "latent_metadata_filename", "save_model_as", "save_state", "resume", "output_name", "model_list", "sample_", "wandb_api_key"]
    
    with open(json_file_path) as file:
        data = json.load(file)
        
    for key in list(data.keys()):
        for keyword in keywords:
            if keyword in key:
                del data[key]
                break
    
    sorted_data = {k: data[k] for k in sorted(data)}
    
    with open(json_file_path, 'w') as file:
        json.dump(sorted_data, file, indent=4)
        
    print("Items with keywords have been removed from the JSON file and the list has been sorted alphabetically:", json_file_path)

if __name__ == '__main__':
    parser = argparse.ArgumentParser(description='Remove items from JSON files based on keywords in the keys')
    parser.add_argument('json_files', type=str, nargs='+', help='Path(s) to the JSON file(s)')
    args = parser.parse_args()

    json_files = args.json_files
    for file_pattern in json_files:
        for json_file_path in glob.glob(file_pattern):
            remove_items_with_keywords(json_file_path)