Jupyter2Hashnode is a useful tool for converting Jupyter Notebooks into Hashnode stories by simplifying the process of compressing images, uploading images, and publishing the story article.

See the full documentation here

How to install

    $ pip install jupyter2hashnode

Using as a command line tool

If jwt, token, publication_id arguments not passed then will use environment variables HASHNODE_JWT, HASHNODE_TOKEN, HASHNODE_PUBLICATION_ID.

Notes:

To obtain JWT: Open https://hashnode.com, account must be logged in, open DevTools of chrome browser (F12), go to Application tab, go to Cookies, find and copy value of "jwt" cookie (245 characters)

To obtain Hashnode API token: Open https://hashnode.com/settings/developer, click on "Generate New Token" button or use the existing one

To obtain Publication ID: Go to https://hashnode.com/settings/blogs, click "Dashboard" of the blog you want to upload to, copy the ID, e.g. https://hashnode.com//dashboard

Usage:

    $ jupyter2hashnode [OPTIONS] NOTEBOOK_PATH [OUTPUT_PATH]

Arguments:

• NOTEBOOK_PATH: notebook file name or complete path [required]
• [OUTPUT_PATH]: output folder name or complete output path where the files will be written to, if none creates output folder with the same name as the notebook file name

Options:

• -j, --jwt TEXT: JWT token for authentication at https://hashnode.com/api/upload-image.
• -t, --token TEXT: Token for authentication at https://api.hashnode.com mutation createPublicationStory endpoint
• -p, --publication TEXT: ID of the Hashnode publication e.g. https://hashnode.com//dashboard
• --title TEXT: Article title [required]
• --hide-from-feed / --no-hide-from-feed: Hide this article from Hashnode and display it only on your blog [default: True]
• --delete-files / --no-delete-files: Delete all files after creating the publication story [default: True]
• --upload / --no-upload: Upload the publication story to the Hashnode server [default: True]
• -v, --version: Show the application's version and exit.
• --install-completion: Install completion for the current shell.
• --show-completion: Show completion for the current shell, to copy it or customize the installation.
• --help: Show this message and exit.

Using as a library

class Jupyter2Hashnode

Notes:

• To obtain JWT
  1. Open https://hashnode.com, account must be logged in
  2. Open DevTools of chrome browser (F12)
  3. Go to Application tab
  4. Go to Cookies
  5. Find and copy value of "jwt" cookie (245 characters)
• To obtain Hashnode API token
  1. Open https://hashnode.com/settings/developer
  2. Click on "Generate New Token" button or use the existing one
• To obtain Publication ID
  1. Go to https://hashnode.com/settings/blogs
  2. Click on "Dashboard" button of the blog you want to upload to
  3. Copy ID from the URL, e.g. https://hashnode.com//dashboard

Attributes:

HASHNODE_JWT (str): JWT token for authentication at Hashnode image uploader, https://hashnode.com/api/upload-image.
HASHNODE_TOKEN (str): Token for authentication with the Hashnode server, to use https://api.hashnode.com
                            mutation createPublicationStory endpoint
HASHNODE_PUBLICATION_ID (str): ID of the Hashnode publication e.g. https://hashnode.com/<id>/dashboard

Methods:

create_publication_story(title:str, notebook_path: str, output_path:Optional[str]=None, 
                            delete_files:bool=True, upload:bool=True):
    This function is used to create a publication story on the Hashnode blog platform by 
    converting a Jupyter Notebook to a markdown file, compressing images, uploading images
    to the Hashnode server, and replacing image URLs in the markdown file.

    Parameters:
        title (str): Title of the publication story.
        notebook_path (str): Path to the Jupyter Notebook file.
        hide_from_feed (bool): Hide this article from Hashnode and display it only on your blog, Default is True.
        output_path (str, optional): Path to the output directory. Default is None.
        delete_files (bool, optional): Boolean value indicating whether to delete all files after 
                                        creating the publication story. Default is True.
        upload (bool, optional): Boolean value indicating whether to upload the publication story
                                    to the Hashnode server. Default is True.

    Returns:
        None

Usage:

    from jupyter2hashnode import Jupyter2Hashnode
        
    j2h = Jupyter2Hashnode(jwt, token, publication_id)
    j2h.create_publication_story(title, notebook_path, hide_from_feed, output_path, delete_files, upload)