Thanks to those who replied to my earlier email, I've been able to add a 
custom latex block to my markdown for highlighting best practices in my 
document. I'd like to take it to the next step and make a filter that will 
output either this new latex element or an HTML div if encountered. 
Currently I start each best practice paragraph with ***Best Practice:***, 
so I'm thinking I can key on that and add what I need around that 
paragraph. I'm struggling a bit to understand the pandoc filters system. 
I'm working from the pandoc-filters python examples and source. I *think* I 
need to key on the Para type, rather than RawBlock, but I'm not certain and 
can't really find much documentation about the types. The filter below 
prints to stderr that it's found the string I'm searching for, but when I 
try to modify the text and return the results I'm not getting the expected 
results. To simplify things, I've boiled it all down to a filter that finds 
"Best Practice" and changes is to "Worst Practice." If I can get that 
working, I think I can get the rest.

== Filter source ==
from pandocfilters import toJSONFilter, Str, Para, RawBlock, stringify
import re
import sys

def bestpractice(key, value, format, meta):
  global inblock
  if key == 'Para':
    s = stringify(value)
    if format == "latex":
      if re.search("Best Practice:", s):
        sys.stderr.write("FOUND")
        s.replace("Best", "Worst")
        inblock = True
      return Para([Str(s)])
if __name__ == "__main__":
  toJSONFilter(bestpractice)

== Markdown ==
***Best Practice:*** This is a best practice. It's limited to a single 
paragraph, although I could add something to end the range if that'll 
simplify things.

I see in the output that the token is being found, but "Worst" doesn't 
appear in the resulting document. I'm really not sure what to return the 
edited string as (Para([Str(s))]) is just what I happened to get to run 
without error). These types don't seem very well documented and I've dug 
through both the python and haskell sources, but haven't figured them out. 
Is there a better option than using stringify on the paragraph and then 
trying to convert it back into a Para object? Is anyone aware of additional 
filter examples that may include something that munges paragraphs like this?

Thanks for the help.

-Jeff

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