This Jupyter notebook helps organize files in a Google Drive directory based on their file extensions. Files will be sorted into predefined categories depending on their types (documents, multimedia files, code files, etc.).

This script uses Google Colab and requires the following libraries:

• os (built-in)
• shutil (built-in)
• tqdm

To install tqdm, run the following command:

!pip install tqdm 

Before starting file organization, mount your Google Drive folder to Google Colab by running the following code:

from google.colab import drive
drive.mount('/content/drive')

We will use the tqdm library to display a progress bar during file iteration. Install and import the necessary libraries using this code:

!pip install tqdm
import os
import shutil
from tqdm import tqdm

The get_unique_file_extensions function walks through the directory structure of a given source folder and identifies unique file extensions.

def get_unique_file_extensions(src_folder):
    # code block here

Run this function and print unique file extensions found in your Google Drive folder:

source_folder = "/content/drive/MyDrive"
unique_extensions = get_unique_file_extensions(source_folder)
print(unique_extensions)

Define a dictionary mapping file extensions to categories. This will serve as the guide for the categorization process.

file_categories = {
    # list of categories here
}

The categorize_files function goes through the directory structure, moving files into the appropriate category folders based on their extensions.

def categorize_files(src_folder, file_categories=file_categories, go_through=True):
    # code block here

Finally, run the categorize_files function to sort all files in your Google Drive:

source_folder = "/content/drive/MyDrive"
categorize_files(source_folder)

This will sort files into category-specific directories within the source folder. Please note that any files with extensions not defined in the file_categories dictionary will be moved to an 'Others' directory.

Please backup your data before running this script, as moving files could result in data loss if not handled properly. We are not responsible for any data loss that may occur.

Suggestions and improvements are welcome. Feel free to submit a pull request.