Question

The project is about translating semi-natural language to SQL tables. The code:

label(S) --> label_h(C), {atom_codes(A, C), string_to_atom(S, A)}, !.

label_h([C|D]) --> letter(C), letters_or_digits(D), !.

letters_or_digits([C|D]) --> letter_or_digit(C), letters_or_digits(D), !.
letters_or_digits([C]) --> letter_or_digit(C), !.
letters_or_digits([]) --> "", !.

letter(C) --> [C], {"a"=<C, C=<"z"}, !.
letter(C) --> [C], {"A"=<C, C=<"Z"}, !.
letter_or_digit(C) --> [C], {"a"=<C, C=<"z"}, !.
letter_or_digit(C) --> [C], {"A"=<C, C=<"Z"}, !.
letter_or_digit(C) --> [C], {"0"=<C, C=<"9"}, !.

table("student").

sbvr2sql --> label(Name), " is an integer.", {assert(fields(Name, "INT"))}.
sbvr2sql --> label(Name), " is a string.", {assert(fields(Name, "VARCHAR(64)"))}.

sbvr2sql(Table, Property)  --> label(Table), " has ", label(Property), ".".

Here is how it works fine:

?- sbvr2sql("age is an integer.", []).
true 

?- sbvr2sql("firstName is a string.", []).
true.

?- sbvr2sql(T, P, "student has firstName.", []).
T = "student",
P = "firstName".

?- fields(F, T).
F = "age",
T = [73, 78, 84] n
F = "firstName",
T = [86, 65, 82, 67, 72, 65, 82, 40, 54|...].

?- sbvr2sql(T, P, "student has firstName.", []), fields(P, _).
T = "student",
P = "firstName".

But it doesn't work here:

?- table(T).
T = [115, 116, 117, 100, 101, 110, 116]. % "student"

?- sbvr2sql(T, P, "student has firstName.", []), table(T).
false.

Apparently it doesn't recognise table("student") as true. It recognises "student" as a label as seen above. What gives?

Was it helpful?

Solution

I can't reproduce the error, but I suspect it may be in your label/3 rule. When I used the following definition of this rule:

label([C|S]) -->
    [C], {[Sp|_] = " ", C \= Sp, [Dot|_] = ".", C \= Dot}, !,
    label(S).
label([],X,X).

I get correct results:

?- sbvr2sql(TS, PS, "student has firstName.", []), table(TS),
   atom_codes(P,PS), atom_codes(T,TS).
TS = [115, 116, 117, 100, 101, 110, 116],
PS = [102, 105, 114, 115, 116, 78, 97, 109, 101],
P = firstName,
T = student.

In general, I'd recommend tokenizing strings into lists of atoms before doing DCG manipulation. That way, it's much easier to debug because of Prolog's awkward string output.

Licensed under: CC-BY-SA with attribution
Not affiliated with StackOverflow
scroll top