use Types::Standard -types;
my $state = StrMatch[qr/^[A-Z]{2}$/];
my $token = Str->where(sub { $database->check_valid_token($_) });
my $thing = Dict[token => $token, state => ArrayRef[$state]];
if ($thing->check($data)) {
...;
}
| [reply] [d/l] |
I had a need for something similar yesterday and throw together a compare routine
that recursively walks down the structure. and returns my idea of < = or >, even though
I only needed it for determining if 2 structs were the same.
sub isnum($) { $_[0] =~ m{^\s* [-+\d.]* [\d.]+ (?:e[-+]\d+)? \s* $}x }
sub Cmp (;$$$);
sub Cmp (;$$$) { my $r=0;
require P;
my ($a, $b, $d) = @_ ? @_ : ($a, $b);
my ($ra, $rb) = (ref $a, ref $b);
my ($ta, $tb) = (typ $a, typ $b);
P::Pe("ta=%s, tb=%s", $ta, $tb) if $d;
P::Pe("ra=%s, rb=%s", $ra, $rb) if $d;
my ($dta, $dtb) = (defined $ta, defined $tb);
# first handle "values" (neither are a type reference)
unless($dta || $dtb) {
$r = isnum($a) && isnum($b)
? $a <=> $b
: $a cmp $b;
P::Pe("isnum, a=%s, b=%s, r=%s", isnum($a), isnum($b), $r) if $d;
return $r }
# then handle unequal type references
elsif ($dta ^ $dtb) { return (undef, 1) }
elsif ($dta && $dtb && $ta ne $tb) { return (undef, 2) }
# now, either do same thing again, or handle differing classes
# the no-class on either implies no type-ref on either & is handled
+above
my ($dra, $drb) = (defined $ra, defined $rb);
if ($dra ^ $drb) { return (undef, 3) }
elsif ($dra && $drb && $ra ne $rb) { return (undef, 4) }
# now start comparing references: dereference and call Cmp again
if ($ta eq SCALAR) {
return Cmp($$a, $$b) }
elsif ($ta eq ARRAY) {
P::Pe("len of array a vs. b: (%s <=> %s)", @$a, @$b) if $d;
return $r if $r = @$a <=> @$b;
# for each member, compare them using Cmp
for (my $i=0; $i<@$a; ++$i) {
P::Pe("a->[i] Cmp b->[i]...\0x83", $a->[$i], $b->[$i]) if $d;
$r = Cmp($a->[$i], $b->[$i]);
P::Pe("a->[i] Cmp b->[i], r=%s", $a->[$i], $b->[$i], $r) if $d;
return $r if $r;
}
return 0; # arrays are equal
} elsif ($ta eq HASH) {
my @ka = sort keys %$a;
my @kb = sort keys %$b;
$r = Cmp(0+@ka, 0+@kb);
P::Pe("Cmp #keys a(%s) b(%s), in hashes: r=%s", 0+@ka, 0+@kb, $r)
+if $d;
return $r if $r;
$r = Cmp(\@ka, \@kb);
P::Pe("Cmp keys of hash: r=%s", $r) if $d;
return $r if $r;
my @va = map {$a->{$_}} @ka;
my @vb = map {$b->{$_}} @kb;
$r = Cmp(\@va, \@vb);
P::Pe("Cmp values for each key, r=%s", $r) if $d;
return $r;
} else {
P::Pe("no comparison for type %s, ref %s", $ta, $ra) if $d;
return (undef,5); ## unimplemented comparison
}
}
Please note, it's raw code. It works on the nested data structures I've tried it on, but I haven't developed any general test cases for it -- and am not sure if I'd want to put it on cpan and if so, where. For now, I added it to my Types::Core module, as it's comparing typed data (a tenuous
reason, but with it so small, and not sure where else I'd put it...eh(?)). If you decide
to use it, PLEASE tell me about any bugs/problems, so I can develop tests and upgrade the code,
but I just wrote it yesterday and don't even know if I want to publish it. There may be similar modules in CPAN, but I wanted something short & sweet and this did exactly what I wanted.
Takes up to 3 params: 1st two are refs to the data structures. If passed no refs, it will
use '$a and $b' as starting points (global compare vars). Third param '$d' stands for debug and
controls the printing of various progress messages as it goes along.
Literally, I'm using to test to see if some routines internal to a program generate correct results.
I.e. the code generating the routines was complicated enough, that I wanted to test it separately -- calling the routines and having them generate various data structures. I needed a way to compare
structures that should be equal.
It sounded like you were wanting exactly the same thing I was doing, if not, sorry for the waste of bandwidth and misunderstanding what you wanted, but if it works for you, cool!
Linda | [reply] [d/l] |
A few more things forgot to mention, about the return values: normally, if the structures are able to be compared, it will return -1, 0 or +1 meaning struct on left compared 'less', or equal or struct on rt.
The ordering of structures is definitely *arbitrary* or *subjective* -- I compare keys of hashes, for example, but whether or not that ordering is relevant or pertinent is entirely arbitrary -- as mentioned before, I really wanted to know if the structures were equal or not, but I figured, I might as well try *some* ordering and get some side benefit of possibly being able to sort data-structs into some order.
For hashes, I then pull up the values for the keys and sort those and compare those.
If you get back an 'undef', it means it couldn't compare it -- not that they were
unequal(or equal).
Even if the underlying data structures are the same -- if they are blessed
data structs in different classes, they return undef.
On return values, I use a 2 element array with the 2nd element being a number pointing
at the test in the Cmp that failed. That helped me narrow down problems and such.
They may or may not be useful.
| [reply] |
An alternative to tobyink's Type::Tiny would be to use JSONSchema (also maintained by tobyink (!)). For a full-scale API it's a bit of work to set up, but very easy to maintain and very powerful. If your Dancer2 API accepts only JSON params it's the way to go in my experience.
See the tutorial examples.
(PS: There is an alternative, JSON::Validator, by one of the lead Mojo devs, but I have not used it.)
Hope this helps!
The way forward always starts with a minimal test.
| [reply] |
Urgh. Replied to this earlier, but I guess I only got as far as the preview and then closed the tab or something. SSL errors in Chrome are making this site very annoying to use.
Anyway, I probably wouldn't recommend JSON::Schema at the moment. It's based on a pretty old version of the JSON schema specification, and I don't plan on updating it until the specification stabilises. And when that does happen, JSON::Schema is likely to become a wrapper around JSON::Schema::AsType which is a frickin' awesome idea, and how I'd be implementing JSON Schema now if someone hadn't beaten me to it.
Right now, JSON::Schema::AsType is a little inefficient in how it uses Type::Tiny, and could be made quite a bit faster. I plan on contributing some improvements in this area once the specification is more stable. It may already be faster than JSON::Schema though — I haven't benchmarked it.
| [reply] |