feat: add text tokenizer and TLD support #311
Open
+2,694
−1
Conversation
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
- Implemented a text tokenizer in `text-tokenizer.ts` that identifies URLs, secrets, and plain text within a given string. - Added a new module `tlds.ts` containing a comprehensive list of top-level domains (TLDs) for URL validation. - Created a TypeScript configuration file `tsconfig.json` for the text tokens package. - Updated the base TypeScript configuration to include Node types alongside Mocha for improved type support.
…uding detailed features and correct export path
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
text-tokenizer.tsthat identifies URLs, secrets, and plain text within a given string.tlds.tscontaining a comprehensive list of top-level domains (TLDs) for URL validation.tsconfig.jsonfor the text tokens package.Warning this was vibe coded.
I think we should take different approach by utilising markdown parser it will parse and urls but only in text nodes.