Develop Lua filters in Jupyer notebooks

Develop Lua filters in Jupyer notebooks

[Gabriel L]

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Hi,

when writing Python filters for Pandoc, I can use a Jupyter notebook for 
interactive development: I can parse the document as a JSON and then 
manipulate it: access to elements, print its attributes, try to modify it, 
etc. It's really convenient for tests while developing the filter.

Is there a way to do the same thing with Lua filters?

There are Lua kernels for Jupyter (ex. 
https://github.com/jupyter-xeus/xeus-lua). I would be happy if I could 
parse a document (say in a file with native format as returned by pandoc -t 
native) in Lua and get the result as a Pandoc object 
(https://pandoc.org/lua-filters.html#type-pandoc). Can I do it "easily" ?

Alternatively, how can I develop Lua filters in an interactive way, as with 
Python filters in Jupyter?

Thanks.

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AW: Develop Lua filters in Jupyer notebooks

[denis.maier-NSENcxR/0n0]

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I don’t have a solution, but something like that would be awesome!
Denis

Von: pandoc-discuss-/JYPxA39Uh5TLH3MbocFFw@public.gmane.org <pandoc-discuss-/JYPxA39Uh5TLH3MbocFFw@public.gmane.org> Im Auftrag von Gabriel L
Gesendet: Donnerstag, 28. April 2022 08:57
An: pandoc-discuss <pandoc-discuss-/JYPxA39Uh5TLH3MbocFFw@public.gmane.org>
Betreff: Develop Lua filters in Jupyer notebooks

Hi,

when writing Python filters for Pandoc, I can use a Jupyter notebook for interactive development: I can parse the document as a JSON and then manipulate it: access to elements, print its attributes, try to modify it, etc. It's really convenient for tests while developing the filter.

Is there a way to do the same thing with Lua filters?

There are Lua kernels for Jupyter (ex. https://github.com/jupyter-xeus/xeus-lua). I would be happy if I could parse a document (say in a file with native format as returned by pandoc -t native) in Lua and get the result as a Pandoc object (https://pandoc.org/lua-filters.html#type-pandoc). Can I do it "easily" ?

Alternatively, how can I develop Lua filters in an interactive way, as with Python filters in Jupyter?

Thanks.
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