Please open a discussion if:

    You have a question.
    You're not sure how to achieve something with dasel.
    You have an idea but don't quite know how you would like it to work.
    You have achieved something cool with dasel and want to show it off.
    Anything else!

I really like dasal.

Can I pipe a .csv to dasal and have it spit it out in JSON? And is that the best way to do that? (arent there like a ton of ways to achieve this, or would dasal make it super simple?)

Also, what would be interesting would be to be able to pull and scrape text, to put into a structured JSON.

For example - I was talking about using a Discrenment Lattice to construct a profile for a PERON PLACE THING that one was doing research on, such that you can pull multiple sources/data-types for information on [SUBJECT] and have the knowledge dossier updated. Where, for example one could pull a lot of results that can be summarized by an GPT - then using Dasal to grab the relevant component-data-points and dasal-ize and feed them into the Discernment Lattice JSON File such as I described here:

https://i.imgur.com/vuuAtAL.png

So building out a structured lattice file for a senator would look like:

https://i.imgur.com/68WFiGA.png

So, using a crawlee txtai workflow --> dasal parse --> into lattice file.

Then the lattice file can be used to compare similar slices across all the different [SUBJECTS] -- such that further ties can be made.

So, in this example - we have the data being organized for all the various entanglements a congress person has - and we can use that as a constraint for searching for relations between [subjects] which share elements across ordinarily opaque threads.

The cool thing, is that one could then easily use it to ensure you scrub and manipulate the data into a more trainable lens for effectively fine tuning the data that you want to fine tune the model with/on - thus creating a hyper contextually focused lens - https://i.imgur.com/yngUwpr.png