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That is, roughly:
!AIVDM COMMA NUMBER COMMA NUMBER COMMA OPTIONAL_NUMBER COMMA [A | B] COMMA JUNK_TO_BE_DISCUSSED COMMA ZERO SPLAT HEXDIGIT HEXDIGIT CR LF
The problem is in the JUNK part. This is ASCII-ized binary crud similar to Base64 encoded data. It can contain basically anything except delimiters like (,!$*) etc.
The problem I am having is that my recognizers for decimal numbers are hitting sequences in the beginning of that junk, or at the end sometimes, so the junk sequence "15M>16?P00G?j9nKAFcV1ww:20Su" might hit on a number 15, followed by junk.
So the basic problem is how do you construct a specification that will filter a really "promiscuous" field out of more "restricted" data? What is causing this (it seems) is the fact that the JUNK field can contain a lot of, well, junk that is easily mistaken for almost anything else.
Any ideas what to do about this? I can post a lex file and data input if anyone cares.
Your data is broken into fields that are distinct by position, and so using commas as field separators relieves the need to parse based on the content. You can build in a counter that incrments on every comma delimited field and identify the purpose of the field from the count. Reset the counter when you see a newline.
Since your definition seems to indicate that commas are used exclusively as delimiters, perhaps an easier approach would be to break out the good old strtok() function.