NAME
Data::Validator - Rule based validator on type constraint system
VERSION
This document describes Data::Validator version 0.09.
SYNOPSIS
use 5.10.0;
use Data::Validator;
# for functions
sub get {
state $rule = Data::Validator->new(
uri => { isa => 'Str', xor => [qw(schema host path_query)] },
schema => { isa => 'Str', default => 'http' },
host => { isa => 'Str' },
path_query => { isa => 'Str', default => '/' },
method => { isa => 'Str', default => 'GET' },
);
my $args = $rule->validate(@_);
# ...
}
get( uri => 'http://example.com/' );
# for methods
sub method {
state $rule = Data::Validator->new(
foo => 'Str',
)->with('Method');
my($self, $args) = $rule->validate(@_);
# ...
}
Foo->method( foo => 'bar' );
# using sequenced parameters
sub seq {
state $rule = Data::Validator->new(
foo => 'Str',
)->with('StrictSequenced');
my $args = $rule->validate(@_);
# ...
}
seq( 'bar' ); # seq() will get { foo => 'bar' }
seq({ foo => 'bar' }); # named style are available!
# using Method and StrictSequenced together
sub seq_method {
state $rule = Data::Validator->new(
foo => 'Str',
)->with( 'Method', 'StrictSequenced');
my($self, $args) = $rule->validate(@_);
# ...
}
Foo->seq_method( 'bar' ); # seq() will get { foo => 'bar' }
DESCRIPTION
This is yet another validation library, based on Smart::Args
but less smart.
This is designed for general data validation. For example, it is useful for CSV, JSON, XML, and so on.
Concepts
- Natural as Perl code
-
I love
Smart::Args
because it is really stylish, but it does not seem Perl-ish.Thus, I have designed
Data::Validator
in more Perl-ish way with full ofSmart::Args
functionality. - Basics on type constraint system
-
Moose's type constraint system is awesome, and so is Mouse's. In fact, Mouse's type constraints are much faster than Moose's so that you need not hesitate to check types.
Thus, I have made
Data::Validator
on Mouse's type constraint system. - Pure Perl
-
Although I do not hesitate to depend on XS modules, some people think that XS modules are hard to install.
Thus, I have written
Data::Validator
in pure Perl and selected dependent modules which work in pure Perl. - Performance
-
Validators should be as fast as possible because they matter only for illegal inputs. Otherwise, one would want something like no validation option.
This is much faster than
Params::Validate
, which has an XS backend, though.
INTERFACE
Data::Validator->new( $arg_name => $rule [, ...]) :Validator
Creates a validation rule. You should cache the rules for performance.
Attributes for $rule are as follows:
isa => $type : Str|Object
-
The type of the rule, which can be a Mouse type constraint name, a class name, or a type constraint object of either Mouse or Moose (i.e. it's duck-typed).
does => $role : Str|Object
-
The type of the rule, which can be a Mouse type constraint name, a role name, or a type constraint object of either Mouse or Moose (i.e. it's duck-typed).
Note that you cannot use it with the
isa
attribute. coerce => $should_coercion : Bool
-
If false, the rule does not try to coerce when the validation fails. Default to true.
default=> $value : Any | CodeRef
-
The default value for the argument. If it is a CODE reference, it is called in scalar context as
$default->($validator, $rule, $args)
and its return value is used as a default value.Because arguments are validated in the order of definitions,
default
callbacks can rely on the previously-filled values:my $v = Data::Validator->new( foo => { default => 99 }, bar => { default => sub { my($validator, $this_rule, $args) = @_; return $args->{foo} + 1; } }, ); $v->validate(); # bar is 100 $v->validate(foo => 42); # bar is 43
Unlike Moose/Mouse's
default
, any references are allowed, but note that they are statically allocated. optional => $value : Bool
-
If true, users can omit the argument. Default to false.
xor => $exclusives : ArrayRef
-
Exclusive arguments, which users cannot pass together.
documentation => $doc : Str
-
Descriptions of the argument.
This is not yet used anywhere.
$validator->find_rule($name :Str)
Finds the rule named $name. Provided for error handling.
$validator->with(@extentions) :Validator
Applies @extentions to $validator and returns itself.
See "EXTENTIONS" for details.
$validator->validate(@args) :HashRef
Validates @args and returns a restricted HASH reference.
Restricted hashes are hashes which do not allow to access non-existing keys, so you must check a key exists
in the hash before fetching its values.
EXTENTIONS
There are extentions which changes behaviours of validate()
.
Method
Takes the first argument as an invocant (i.e. class or object instance), and returns it as the first value:
my($invocant, $args) = $rule->validate(@_);
StrictSequenced
Deals with arguments in sequenced style, where users should pass arguments by the order of argument rules, instead of by-name.
Sequenced
Deals with arguments in sequenced style, where users should pass arguments by the order of argument rules, instead of by-name.
Note that if the last argument is a HASH reference, it is regarded as named-style arguments.
AllowExtra
Regards unknown arguments as extra arguments, and returns them as a list of name-value pairs:
my($args, %extra) = $rule->validate(@_);
NoThrow
Does not throw errors. Instead, it provides validators with the errors
attribute:
my $args = $v->validate(@_); # it never throws errors
if($v->has_errors) {
my $errors = $v->clear_errors;
foreach my $e(@{$errors}) {
# $e has 'type', 'message' and 'name'
print $e->{message}, "\n";
}
}
Croak
Does not report stack backtraces on errors, i.e. uses croak()
instead of confess()
to throw errors.
DEPENDENCIES
Perl 5.8.1 or later.
BUGS
All complex software has bugs lurking in it, and this module is no exception. If you find a bug please either email me, or add the bug to cpan-RT.
SEE ALSO
AUTHOR
Fuji, Goro (gfx) <gfuji@cpan.org>
LICENSE AND COPYRIGHT
Copyright (c) 2010, Fuji Goro (gfx). All rights reserved.
This library is free software; you can redistribute it and/or modify it under the same terms as Perl itself.