import os import argparse from math import ceil from pydantic import BaseModel from typing import List from reedsolo import RSCodec class Args(BaseModel): file_path: str n: int def parse_arguments(): parser = argparse.ArgumentParser(description='Split file into multiple pieces using Reed-Solomon coding.') parser.add_argument('file_path', type=str, help='Path to the input file.') parser.add_argument('n', type=int, help='Number of pieces to split the file into.') return Args(**vars(parser.parse_args())) def split_file_into_pieces(file_path: str, n: int): # Load the file into memory with open(file_path, 'rb') as f: file_data = f.read() # Calculate the size of each piece piece_size = ceil(len(file_data) / n) # Create the folders for the pieces folder_names = [f'piece_{i+1}' for i in range(n)] for folder_name in folder_names: os.makedirs(folder_name, exist_ok=True) # Encode each piece using Reed-Solomon coding and write it to the corresponding folder codec = RSCodec(n) for i, folder_name in enumerate(folder_names): piece_data = file_data[i*piece_size:(i+1)*piece_size] encoded_data = codec.encode(piece_data) with open(os.path.join(folder_name, f'{i+1}.dat'), 'wb') as f: f.write(encoded_data) def reassemble_file(folder_names: List[str], output_file_path: str): # Load the encoded pieces into memory encoded_pieces = [] for i, folder_name in enumerate(folder_names): with open(os.path.join(folder_name, f'{i+1}.dat'), 'rb') as f: encoded_piece_data = f.read() encoded_pieces.append(encoded_piece_data) # Decode the pieces using Reed-Solomon coding codec = RSCodec(len(encoded_pieces)) decoded_pieces = codec.decode(encoded_pieces) # Concatenate the decoded pieces into the original file data file_data = b''.join(decoded_pieces) # Write the original file data to disk with open(output_file_path, 'wb') as f: f.write(file_data) if __name__ == '__main__': args = parse_arguments() split_file_into_pieces(args.file_path, args.n) folder_names = [f'piece_{i+1}' for i in range(args.n)] reassemble_file(folder_names, 'reconstructed_file.png')