Hi Günther, A simple method is to parameterize a parse function by something you parsed previously. For the example you gave, I would try something like this: import ParseToken cellContent = do ... -- parses the contents of a cell cvsParser = do headings <- sepBy identifier semi cs <- count (length headings - 1) (do c <- cellContent; semi; return c) c <- cellContent return (cs ++ [c]) Of course, you can put the last two lines into a separate function that is parameterized with the list of headings found. (Instead of these lines, I would also define an abstraction function sepByCount p n sep that parses n occurrences of p, each separated by sep.) Best regards, Bernd Am 07.05.2010 00:40, schrieb Günther Schmidt:

Hello,

I'm trying to build a CSV parser that can dynamically assemble a parser from the values of the first line.

As the most simple example the parse of the first line would return a parser with which subsequent lines would then be parsed. This parser would, for instance, only parse lines with the exact number of columns as found in the first line.

Where I eventually want to go is a bit more complicated than this, but for now I'd be grateful for suggestions on how to go about the simple case.

Best regards

Günther

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