import os import hashlib from PIL import Image import shutil # test def compute_hash(file_path): with open(file_path, 'rb') as f: content = f.read() hash_value = hashlib.md5(content).hexdigest() return hash_value def compress_and_save(source_dir, target_dir, hash_dir): if not os.path.exists(target_dir): os.makedirs(target_dir) if not os.path.exists(hash_dir): os.makedirs(hash_dir) processed_files = set() for root, dirs, files in os.walk(source_dir): for file_name in files: source_path = os.path.join(root, file_name) relative_path = os.path.relpath(source_path, source_dir) target_path = os.path.join(target_dir, relative_path) hash_file_path = os.path.join(hash_dir, relative_path + '.hash') processed_files.add(relative_path) original_hash = compute_hash(source_path) if not os.path.exists(hash_file_path) or open(hash_file_path, 'r').read() != original_hash: os.makedirs(os.path.dirname(target_path), exist_ok=True) if file_name.lower().endswith('.png'): with Image.open(source_path) as img: img = img.convert('RGBA') img.save(target_path, format='PNG', optimize=True) else: shutil.copyfile(source_path, target_path) os.makedirs(os.path.dirname(hash_file_path), exist_ok=True) with open(hash_file_path, 'w') as hash_file: hash_file.write(original_hash) for root, dirs, files in os.walk(target_dir, topdown=False): for file_name in files: file_path = os.path.join(root, file_name) relative_path = os.path.relpath(file_path, target_dir) if relative_path not in processed_files: os.remove(file_path) hash_file_path = os.path.join(hash_dir, relative_path + '.hash') if os.path.exists(hash_file_path): os.remove(hash_file_path) for dir_name in dirs: dir_path = os.path.join(root, dir_name) if not os.listdir(dir_path): os.rmdir(dir_path) for root, dirs, files in os.walk(hash_dir, topdown=False): for dir_name in dirs: dir_path = os.path.join(root, dir_name) if not os.listdir(dir_path): os.rmdir(dir_path) source_directory_path = 'resources' target_directory_path = 'optimizedResources' hash_directory_path = 'hashes' print("Optimizing images...") compress_and_save(source_directory_path, target_directory_path, hash_directory_path) print("Optimization complete.")