.___        __                             .__  .____    .__        __                 
|   | _____/  |_  ___________  ____ _____  |  | |    |   |__| ____ |  | __ ___________ 
|   |/    \   __\/ __ \_  __ \/    \\__  \ |  | |    |   |  |/    \|  |/ // __ \_  __ \
|   |   |  \  | \  ___/|  | \/   |  \/ __ \|  |_|    |___|  |   |  \    <\  ___/|  | \/
|___|___|  /__|  \___  >__|  |___|  (____  /____/_______ \__|___|  /__|_ \\___  >__|   
         \/          \/           \/     \/             \/       \/     \/    \/              

Internallinker

Automatically generate internal links between your markdown files.

Notice

This is in Alpha. Please manually check the changes to your markdown before uploading!

Philosophy

You should link internal pages of your website up for a better user experience and better SEO.

What it does

• The user uploads one or more markdown posts (which must have keywords entered in the frontmatter) - see example-posts for the right format.
• It'll create a list of all the keywords that each post relates to (based on their frontmatter).
• It then loops through all the blog post text for every post, and when a keyword is used, it suggests an internal link is made
• the user can then grab the updated posts in the generated-posts folder

Pre-requisites

First, make sure you have some markdown blog posts with keywords in their front matter (see /example-posts for the right format).

Second, install any needed dependencies.

pip3 install -r requirements.txt
virtualenv --python=python3 venv
source venv/bin/activate

Third, run flask with flask run

Fourth, now visit http://127.0.0.1:5000/ in your browser

Fifth, if you wanto match on just keywords from your frontmatter, leave the topics checkbox empty. If you want to match on keywords and topics then check the checkbox.

How it works

• this is an app powered by Flask
• the user uploads one or more markdown posts
• in app.py, the function generate_keywords() runs through every uploaded post
• it then looks for keywords listed in the YAML (the top bit above the content)
• it puts these into a big json (generated-posts/keywordAssociations.json)
• in app.py, it then runs through every post, finds keyword matches and inserts a link
• there is fancy filtering - it won't insert a link inside another link, it won't link pages to themselves, and it won't insert a link that isn't an entire word (ie it won't do this: dogs)
• the user can then get these updated posts in the folder /generated-posts