May I ask if it is possible to implement -w for paragraph base also? (currently as I understand the implementation is on page/note based)
Use case: For user who will do note refactoring after running this script.

For example do not link words in:

• Heading 1

• Heading 2

• Heading 3

• Heading 4

• Quotes

• Strikout
• ==Highlights==

This will be amazing time saver so you can highlight whole file and not to worry that for example headings get screw-up with links.

I wrote a bash script to first run obs-unlinkr.py and then obs-linkr.py as in 99 of 100 cases the intent for existing use is to update the contents. And for that clearing the markup in the clipboard is the first phase.

Could you combine this code into obs-linkr.py with a special flag so it's opt-in? This way there's only one case of launching the (heavy) python runtime rather than twice, to save cycles?

Are the search regex strings and string variables configured for UTF-8? I could see cases where a right Markdown file is not picked up by the forward linker:

-rw-r--r--@ 1 ksandvik  CORP\Domain Users   56 Mar 21 14:56 KSDict/སྟོང་པ.md

(master) ~> python3 obs-linkr.py /Volumes/Work/Tibworkspace/ -r
Empty alias (will be ignored): aliases
----------------------
linked རྣམ་པར་ཤེས་པ
linked སྟོང
linked རྣམས
----------------------
linked text copied to clipboard

(master) ~> python3 --version
Python 3.9.2

Clipboard contents:

རྣམ་པར་ཤེས་པ་རྣམས་སྟོང་པའོ།།

Note that the word is part of the grammatical construct སྟོང་པའོ , འོ means ending means genitive.
Note that the regex didn't pick up སྟོང་པ.md, rather སྟོང . This is in Tibetan but it's standard UTF-8. Worst case it's just a python3 regex UTF-8 bug not properly handling rune combinations.

I have a few single-word file/concept, for example, space, time, precision, accuracy. Most of the time, I don't want to link them. They are general concepts that I occasionally link when something really sticks out. Generally, I only need to search for and link longer words/phrases. It would be useful to have an option to specify the minimum number of words to search for forward linking.

Thank you for sharing this.
When i use this tool, sometimes it would shows that the word have been processed many times
Such as if i have keywords on team, learning and team learning episode:

1. [[Team [[Learning|learning]] episode|team [[Learning|learning]] episode]] instead of [[Team learning episode|team learning episode]]
2. [[Team [[Learning|learning]] episode|Learning Episode]] instead of [[Team learning episode|Learning Episode]]
   So i would suggest to prioritized long words over short words, then if the words is between the double bracket already then do not replace

Hi!

Very nice of you to make this script. I was looking to build something myself, but now I'm at least gonna wait for 3d party plugin support. :D

If you have time, and find it a suitable addition, then I'd like to see support for basic suffixes.

Example:

With a file names Apple

Text with apples. 

Would be formatted to:

Text with [[apple|apples]]. 

Would be nice if this matching is non-specific and handles any word endings, and not just s. (To handle multiple languages out of the box.)

Hi, would it be possible to enable the Auto-Linker to automatically go through existing notes and link words that are already found in another note, or words specified?

For example, I have a note that's an index where I store every note that I'd consider something I might want to revisit to remind myself of a concept. Would it be possible for the Auto-Linker to go through other notes and link the words/aliases found in those, to the notes found in the index?

Sorry if my explanation was poor, I'm not a native speaker.

Could you please add an option to only use aliases.yml as the dictionary (without using the note title in the vault).

sorry, i found the mistake in my aliases.yml file

Looks like the latest python frontmatter can't use the latest pyyml, so maybe the README instructions should show the exact versions at this point of time to get this working properly at initial install.

I have 7000 notes, and the script is running already 3 hours in my Macbook 12". It runs just one core on 98%...
It will be amazing if you can optimise speed a little bit... Add some subprocesses....

Pulled the repo to test it.

Either
py obs-linkr.py "C:\Users\kinla\Downloads\obs_tools-master\obs_tools-master\forward_linker"py obs-linkr.py "C:\Users\kinla\Downloads\obs_tools-master\obs_tools-master\forward_linker"
or
py obs-linkr.py "C:\Users\kinla\Downloads\obs_tools-master\obs_tools-master\forward_linker\test-vault"

does not work.

Is there any problem in my trial?

Thank you

Can you please update the script to ignore any .md files inside the Obsidian .trash folder? Currently it picks up aliases from deleted files too.