I am trying to parse an int32 with FParsec but have an additional restriction that the number must be less than some maximum value. Is their a way to perform this without writing my own custom parser (as below) and/or is my custom parser (below) the appropriate way of achieving the requirements.
I ask because most of the built-in library functions seem to revolve around a char satisfying certain predicates and not any other type.
let pRow: Parser<int> =
let error = messageError ("int parsed larger than maxRows")
let mutable res = Reply(Error, error)
fun stream ->
let reply = pint32 stream
if reply.Status = Ok && reply.Result <= 1000000 then
res <- reply
res
UPDATE
Below is an attempt at a more fitting FParsec solution based on the direction given in the comment below:
let pRow2: Parser<int> =
pint32 >>= (fun x -> if x <= 1048576 then (preturn x) else fail "int parsed larger than maxRows")
Is this the correct way to do it?
You've done an excellent research and almost answered your own question.
Generally, there are two approaches:
int
and let the further code to check it for validity;(>>=)
is the right tool;In order to make a good choice, ask yourself whether an integer that failed to pass the guard rule has to "give another chance" by triggering another parser?
Here's what I mean. Usually, in real-life projects, parsers are combined in some chains. If one parser fails, the following one is attempted. For example, in this question, some programming language is parsed, so it needs something like:
Theoretically, your DSL may need to differentiate a "small int value" from another type:
Built this way,
pCombined
will return:"42 ABC"
gets parsed as[ SmallValue 42 ; Comment "ABC" ]
"1234567 ABC"
gets parsed as[ LargeValueAndString(1234567, "ABC") ]
As we see, the guard rule impacts how the parsers are applied, so the guard rule has to be within the parsing process.
If, however, you don't need such complication (e.g., an
int
is parsed unconditionally), your first snippet is just fine.