Approach to converting large, custom, LaTeX document to restructured text

[Jeremy Conlin <jlconlin-Re5JQEeQqe8AvxtiuMwx3w@public.gmane.org>]

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I have a large (900 page) LaTeX document (broken up into several LaTeX 
files) that I want to convert into restructured text. I've already tried to 
use pandoc to convert some of the files and it has failed for a few 
reasons. 

I'm a new pandoc user, but I figure I'm going to have to write my own 
converter. Before I do, I wanted to ask this forum what the right way to 
approach the conversion. I was planning on reading  everything into Python, 
do my own search/replace and then pass the result on to pandoc. I would 
then rinse/repeat until I have everything the way I want it. 

I know there are filters and such that I can write to customize things, but 
(as a beginner) I'm not sure if it would be easier to learn pandoc syntax 
and write my own filter, or just go at it in Python as I described above.

I don't mind doing it either way; I think it might be a fun side project to 
do when I'm procrastinating doing what I really should be doing. 

Please advise on what is the right approach. I'm sure there are other 
approaches too that I'm not aware of. I'm open for suggestions.

Thanks,
Jeremy

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