————#
# FormValidator.pm - Object that validates form input data.
#
# This file is part of Data::FormValidator.
#
# Author: Francis J. Lacoste <francis.lacoste@iNsu.COM>
# Maintainer: Mark Stosberg <mark@stosberg.com>
#
# Copyright (C) 1999 Francis J. Lacoste, iNsu Innovations
# Parts Copyright 1996-1999 by Michael J. Heins <mike@heins.net>
# Parts Copyright 1996-1999 by Bruce Albrecht <bruce.albrecht@seag.fingerhut.com>
# Parts Copyright 2001-2003 by Mark Stosberg <mark@stosberg.com>
#
# Parts of this module are based on work by
# Bruce Albrecht, <bruce.albrecht@seag.fingerhut.com> contributed to
# MiniVend.
#
# Parts also based on work by Michael J. Heins <mikeh@minivend.com>
#
# This program is free software; you can redistribute it and/or modify
# it under the terms same terms as perl itself.
#
package
Data::FormValidator;
use
5.005;
# for "qr" support, which isn't strictly required. -mls
use
Data::FormValidator::Filters (qw/:filters/);
use
Data::FormValidator::Constraints (qw/:validators :matchers/);
$VERSION
=
'3.56'
;
require
Exporter;
@ISA
=
qw(Exporter)
;
%EXPORT_TAGS
= (
filters
=> [qw/
filter_alphanum
filter_decimal
filter_digit
filter_dollars
filter_integer
filter_lc
filter_neg_decimal
filter_neg_integer
filter_phone
filter_pos_decimal
filter_pos_integer
filter_quotemeta
filter_sql_wildcard
filter_strip
filter_trim
filter_uc
filter_ucfirst
/],
validators
=> [qw/
valid_american_phone
valid_cc_exp
valid_cc_number
valid_cc_type
valid_email
valid_ip_address
valid_phone
valid_postcode
valid_province
valid_state
valid_state_or_province
valid_zip
valid_zip_or_postcode
/],
matchers
=> [qw/
match_american_phone
match_cc_exp
match_cc_number
match_cc_type
match_email
match_ip_address
match_phone
match_postcode
match_province
match_state
match_state_or_province
match_zip
match_zip_or_postcode
/],
);
@EXPORT_OK
= (@{
$EXPORT_TAGS
{filters} }, @{
$EXPORT_TAGS
{validators} }, @{
$EXPORT_TAGS
{matchers} });
use
strict;
use
Symbol;
sub
DESTROY {}
=pod
=head1 NAME
Data::FormValidator - Validates user input (usually from an HTML form) based
on input profile.
=head1 SYNOPSIS
use Data::FormValidator;
my $results = Data::FormValidator->check(\%input_hash, \%dfv_profile);
if ($results->has_invalid or $results->has_missing) {
# do something with $results->invalid, $results->missing
# or $results->msgs
}
else {
# do something with $results->valid
}
=head1 DESCRIPTION
Data::FormValidator's main aim is to make input validation expressible in a
simple format.
Data::FormValidator lets you define profiles which declare the
required and optional fields and any constraints they might have.
The results are provided as an object which makes it easy to handle
missing and invalid results, return error messages about which constraints
failed, or process the resulting valid data.
=cut
sub
new {
my
$proto
=
shift
;
my
$profiles_or_file
=
shift
;
my
$defaults
=
shift
;
my
$class
=
ref
$proto
||
$proto
;
if
(
$defaults
) {
ref
$defaults
eq
'HASH'
or
die
'second argument to new must be a hash ref'
;
}
my
(
$file
,
$profiles
);
if
(
ref
$profiles_or_file
) {
$profiles
=
$profiles_or_file
;
}
else
{
$file
=
$profiles_or_file
;
}
bless
{
profile_file
=>
$file
,
profiles
=>
$profiles
,
defaults
=>
$defaults
,
},
$class
;
}
=pod
=head1 VALIDATING INPUT
=head2 check()
my $results = Data::FormValidator->check(\%input_hash, \%dfv_profile);
C<check> is the recommended method to use to validate forms. It returns it's results as a
L<Data::FormValidator::Results|Data::FormValidator::Results> object. A
deprecated method C<validate> is also available, returning it's results as an
array described below.
use Data::FormValidator;
my $results = Data::FormValidator->check(\%input_hash, \%dfv_profile);
Here, C<check()> is used as a class method, and takes two required parameters.
The first a reference to the data to be be validated. This can either be a hash
reference, or a CGI.pm-like object. In particular, the object must have a param()
method that works like the one in CGI.pm does. CGI::Simple and Apache::Request
objects are known to work in particular. Note that if you use a hash reference,
multiple values for a single key should be presented as an array reference.
The second argument is a reference to the profile you are validating.
=head2 validate()
my( $valids, $missings, $invalids, $unknowns ) =
Data::FormValidator->validate( \%input_hash, \%dfv_profile);
C<validate()> provides a deprecated alternative to C<check()>. It has the same input
syntax, but returns a four element array, described as follows
=over
=item valids
This is a hash reference to the valid fields which were submitted in
the data. The data may have been modified by the various filters specified.
=item missings
This is a reference to an array which contains the name of the missing
fields. Those are the fields that the user forget to fill or filled
with spaces. These fields may comes from the I<required> list or the
I<dependencies> list.
=item invalids
This is a reference to an array which contains the name of the fields
which failed one or more of their constraint checks.
Fields defined with multiple constraints will have an array ref returned in the
@invalids array instead of a string. The first element in this array is the
name of the field, and the remaining fields are the names of the failed
constraints.
=item unknowns
This is a list of fields which are unknown to the profile. Whether or
not this indicates an error in the user input is application
dependant.
=back
=head2 new()
Using C<new()> is only needed for advanced usage, so feel free to skip this
section if you are just getting started.
That said, using C<new()> is useful in some cases. These include:
=over
=item o
Loading more than one profile at a time. Then you can select the profile you
want by name later with C<check()>. Here's an example:
my $dfv = Data::FormValidator->new({
profile_1 => { # usual profile definition here },
profile_1 => { # another profile definition },
});
As illustrated, multiple profiles are defined through a hash ref whose keys point
to profile definitions.
You can also load several profiles from a file, by defining several profiles as shown above
in an external file. Then just pass in the name of the file:
my $dfv = Data::FormValidator->new('/path/to/profiles.pl');
If the input profile is specified as a file name, the profiles will be reread
each time that the disk copy is modified.
Now when calling C<check()>, you just need to supply the profile name:
my $results = $dfv->check(\%input_hash,'profile_1');
=item o
Applying defaults to more than one input profile. There are some parts
of the validation profile that you might like to re-use for many form
validations.
To facilite this, C<new()> takes a second argument, a hash reference. Here
the usual input profile definitions can be made. These will act as defaults for
any subsequent calls to C<check()> on this object.
Currently the logic for this is very simple. Any definition of a key in your
validation profile will completely overwrite your default value.
This means you can't define two keys for C<constraint_regexp_map> and expect
they will always be there. This kind of feature may be added in the future.
The exception here is definitions for your C<msgs> key. You will safely
be able to define some defaults for this key and not have them entirely clobbered
just because C<msgs> was defined in a validation profile.
One way to use this feature is to create your own sub-class that always provides
your defaults to C<new()>.
Another option is to create your own wrapper routine which provides these defaults to
C<new()>. Here's an example of a routine you might put in a
L<CGI::Application|CGI::Application> super-class to make use of this feature:
# Always use the built-in CGI object as the form data
# and provide some defaults to new constructor
sub check_form {
my $self = shift;
my $profile = shift
|| die 'check_form: missing required profile';
require Data::FormValidator;
my $dfv = Data::FormValidator->new({},{
# your defaults here
});
return $dfv->check($self->query,$profile);
}
=back
=cut
sub
validate {
my
(
$self
,
$data
,
$name
) =
@_
;
my
$data_set
=
$self
->check(
$data
,
$name
);
my
$valid
=
$data_set
->valid();
my
$missing
=
$data_set
->missing();
my
$invalid
=
$data_set
->{validate_invalid};
my
$unknown
= [
$data_set
->unknown ];
return
(
$valid
,
$missing
,
$invalid
,
$unknown
);
}
sub
check {
my
(
$self
,
$data
,
$name
) =
@_
;
# check can be used as a class method for simple cases
if
(not
ref
$self
) {
my
$class
=
$self
;
$self
= {};
bless
$self
,
$class
;
}
my
$profile
;
if
(
ref
$name
) {
$profile
=
$name
;
}
else
{
$self
->load_profiles;
$profile
=
$self
->{profiles}{
$name
};
die
"No such profile $name\n"
unless
$profile
;
}
die
"input profile must be a hash ref"
unless
ref
$profile
eq
"HASH"
;
# add in defaults from new(), if any
if
(
$self
->{defaults}) {
$profile
= { %{
$self
->{defaults}},
%$profile
};
}
# check the profile syntax or die with an error.
_check_profile_syntax(
$profile
);
my
$results
= Data::FormValidator::Results->new(
$profile
,
$data
);
# As a special case, pass through any defaults for the 'msgs' key.
$results
->msgs(
$self
->{defaults}->{msgs})
if
$self
->{defaults}->{msgs};
return
$results
;
}
=pod
=head1 INPUT PROFILE SPECIFICATION
An input profile is a hash reference containing one or more of the following
keys.
Here is a very simple input profile. Examples of more advanced options are
described below.
my $profile = {
optional => [qw( company
fax
country )],
required => [qw( fullname
phone
address )],
constraints => {
email => 'email'
}
};
That defines some fields as optional, some as required, and defines that the
field named 'email' must pass the constraint named 'email'.
Here is a complete list of the keys available in the input profile, with
examples of each.
=head2 required
This is an array reference which contains the name of the fields which are
required. Any fields in this list which are not present or contain only
spaces will be reported as missing.
=head2 required_regexp
required_regexp => qr/city|state|zipcode/,
This is a regular expression used to specify additional fields which are
required.
=head2 require_some
require_some => {
# require any two fields from this group
city_or_state_or_zipcode => [ 2, qw/city state zipcode/ ],
}
This is a reference to a hash which defines groups of fields where 1 or more
fields from the group should be required, but exactly which fields doesn't
matter. The keys in the hash are the group names. These are returned as
"missing" unless the required number of fields from the group has been filled
in. The values in this hash are array references. The first element in this
array should be the number of fields in the group that is required. If the
first field in the array is not an a digit, a default of "1" will be used.
=head2 optional
optional => [qw/meat coffee chocolate/],
This is an array reference which contains the name of optional fields.
These are fields which MAY be present and if they are, they will be
checked for valid input. Any fields not in optional or required list
will be reported as unknown.
=head2 optional_regexp
optional_regexp => qr/_province$/,
This is a regular expression used to specify additional fields which are
optional. For example, if you wanted all fields names that begin with I<user_>
to be optional, you could use the regular expression, /^user_/
=head2 dependencies
dependencies => {
# If cc_no is entered, make cc_type and cc_exp required
"cc_no" => [ qw( cc_type cc_exp ) ],
# if pay_type eq 'check', require check_no
"pay_type" => {
check => [ qw( check_no ) ],
}
},
This is for the case where an optional field has other requirements. The
dependent fields can be specified with an array reference.
If the dependencies are specified with a hash reference then the additional
constraint is added that the optional field must equal a key for the
dependencies to be added.
Any fields in the dependencies list that is missing when the target is present
will be reported as missing.
=head2 dependency_groups
dependency_groups => {
# if either field is filled in, they all become required
password_group => [qw/password password_confirmation/],
}
This is a hash reference which contains information about groups of
interdependent fields. The keys are arbitrary names that you create and
the values are references to arrays of the field names in each group.
=head2 defaults
defaults => {
country => "USA",
},
This is a hash reference where keys are field names and
values are defaults to use if input for the field is missing.
The defaults are set shortly before the constraints are applied, and
will be returned with the other valid data.
=head2 filters
# trim leading and trailing whitespace on all fields
filters => ['trim'],
This is a reference to an array of filters that will be applied to ALL
optional and required fields.
This can be the name of a built-in filter
(trim,digit,etc) or an anonymous subroutine which should take one parameter,
the field value and return the (possibly) modified value.
Filters modify the data, so use them carefully.
See Data::FormValidator::Filters for details on the built-in filters.
=head2 field_filters
field_filters => {
cc_no => ['digit'],
},
A hash ref with field names and keys. Values are array references
of field-specific filters to apply.
See Data::FormValidator::Filters for details on the built-in filters.
=head2 field_filter_regexp_map
field_filter_regexp_map => {
# Upper-case the first letter of all fields that end in "_name"
qr/_name$/ => ['ucfirst'],
},
This is a hash reference where the keys are the regular expressions to
use and the values are references to arrays of filters which will be
applied to specific input fields. Used to apply filters to fields that
match a regular expression.
=head2 constraints
constraints => {
cc_no => {
constraint => "cc_number",
params => [ qw( cc_no cc_type ) ],
},
cc_type => "cc_type",
cc_exp => "cc_exp",
},
A hash ref which contains the constraints that
will be used to check whether or not the field contains valid data.
The keys in this hash are field names. The values can be any of the following:
=over
=item o
A named constraint.
B<Example>:
my_zipcode_field => 'zip',
See L<Data::FormValidator::Constraints> for the details of which
built-in constraints that are available.
=item o
a perl regular expression
B<Example>:
my_zipcode_field => qr/^\d{5}$/, # match exactly 5 digits
If this field is named in the C<untaint_constraint_fields>, or
C<untaint_all_constraints> is effective, be aware of the following: If you
write your own regular expressions and only match part of the string then
you'll only get part of the string in the valid hash. It is a good idea to
write you own constraints like /^regex$/. That way you match the whole string.
=item o
a subroutine reference, to supply custom code
This will check the input and return true or false depending on the input's validity.
By default, the constraint function takes one parameter, the field to be
validated. To validate a field based more inputs than just the field itself,
see C<VALIDATING INPUT BASED ON MULTIPLE FIELDS>.
B<Examples>:
my_zipcode_field => sub { my $val = shift; return $val =~ '/^\d{5}$/' },
# OR you can reference a subroutine, which should work like the one above
my_zipcode_field => \&my_validation_routine,
=item o
a hash reference, to name a constraint or supply multiple parameters.
# supply multiple parameters
cc_no => {
constraint => "cc_number",
params => [ qw( cc_no cc_type ) ],
},
# name a constraint, useful for returning error messages
last_name => {
name => "ends_in_name",
constraint => qr/_name$/,
},
Using a hash reference for a constraint permits the passing of multiple
arguments. Required arguments are C<constraint> or C<constraint_method>.
Optional arguments are C<name> and C<params>.
A C<name> on a constraints 'glues' the constraint to its error message
in the validator profile (refer C<msgs> section below). If no C<name> is
given then it will default to the value of C<constraint> or
C<constraint_method> IF they are NOT a CODE ref or a RegExp ref.
The C<params> value is a reference to an array of the parameters to pass
to the constraint method.
If an element of the C<params> list is a scalar, it is assumed to be naming
a key of the %input_hash and that value is passed to the routine.
If the parameter is a '\' reference, then it is treated literally and passed
unchanged to the routine.
If you are using the older C<constraint> over
the new C<constraint_method> then don't forget to include the name of the
field to check in the C<params> list. C<constraint_method> provides access
to this value via the C<get_current_*> methods
(refer L<Data::FormValidator::Constraints>)
For more details see L<VALIDATING INPUT BASED ON MULTIPLE FIELDS>.
=item o
an array reference
An array reference is used to apply multiple constraints to a single
field. Any of the above options are valid entries the array.
See L<MULTIPLE CONSTRAINTS> below.
=back
=head2 constraint_regexp_map
constraint_regexp_map => {
# All fields that end in _postcode have the 'postcode' constraint applied.
qr/_postcode$/ => 'postcode',
},
A hash ref where the keys are the regular expressions to
use and the values are the constraints to apply.
If one or more constraints have already been defined for a given field using
"constraints", constraint_regexp_map will add an additional constraint for that
field for each regular expression that matches.
=head2 untaint_all_constraints
untaint_all_constraints => 1,
If this field is set, all form data that passes a constraint will be untainted.
The untainted data will be returned in the valid hash. Untainting is based on
the pattern match used by the constraint. Note that some constraint routines
may not provide untainting.
See L<WRITING YOUR OWN CONSTRAINT ROUTINES> in the Data::FormValidator::Constraints
documention for more information.
This is overridden by C<untaint_constraint_fields>
=head2 untaint_constraint_fields
untaint_constraint_fields => [qw(zipcode state)],
Specifies that one or more fields will be untainted if they pass their
constraint(s). This can be set to a single field name or an array reference of
field names. The untainted data will be returned in the valid hash.
This overrides the untaint_all_constraints flag.
=head2 missing_optional_valid
missing_optional_valid => 1
This can be set to a true value to cause missing optional fields to be included
in the valid hash. By default they are not included-- this is the historical
behavior.
This is an important flag if you are using the contents of an "update" form to
update a record in a database. Without using the option, fields that have been
set back to "blank" may fail to get updated.
=head2 validator_packages
# load all the constraints from these modules
validator_packages => [qw(Data::FormValdidator::Constraints::Upload)],
This key is used to define other packages which contain constraint routines.
Set this key to a single package name, or an arrayref of several. All of its
constraint routines beginning with 'match_' and 'valid_' will be imported into
Data::FormValidator. This lets you reference them in a constraint with just
their name, just like built-in routines. You can even override the provided
validators.
See L<WRITING YOUR OWN CONSTRAINT ROUTINES> in the Data::FormValidator::Constraints
documentation for more information
=head2 msgs
B<NOTE:> This part of the interface is newer and may change. Use in production
code at your own caution. Contact the maintainer with any questions or
suggestions.
This key is used to define parameters related to formatting error messages
returned to the user.
By default, invalid fields have the message "Invalid" associated with them
while missing fields have the message "Missing" associated with them.
In the simplest case, nothing needs to be defined here, and the default values
will be used.
The default formatting applied is designed for display in an XHTML web page.
That formatting is as followings:
<span style="color:red;font-weight:bold"><span class="dfv_errors">* %s</span></span>
The C<%s> will be replaced with the message. The effect is that the message
will appear in bold red with an asterisk before it. This style can be overriden by simply
defining "dfv_errors" appropriately in a style sheet, or by providing a new format string.
Here's a more complex example that shows how to provide your own default message strings, as well
as providing custom messages per field, and handling multiple constraints:
msgs => {
# set a custom error prefix, defaults to none
prefix=> 'error_',
# Set your own "Missing" message, defaults to "Missing"
missing => 'Not Here!',
# Default invalid message, default's to "Invalid"
invalid => 'Problematic!',
# message seperator for multiple messages
# Defaults to ' '
invalid_seperator => ' <br /> ',
# formatting string, default given above.
format => 'ERROR: %s',
# Error messages, keyed by constraint name
# Your constraints must be named to use this.
constraints => {
'date_and_time' => 'Not a vaild time format',
# ...
},
# This token will be included in the hash if there are
# any errors returned. This can be useful with templating
# systems like HTML::Template
# The 'prefix' setting does not apply here.
# defaults to undefined
any_errors => 'some_errors',
}
The hash that's prepared can be retrieved through the C<msgs> method
described in the L<Data::FormValidator::Results> documentation.
=head2 debug
This method is used to print details about what is going on to STDERR.
Currently only level '1' is used. It provides information about which
fields matched constraint_regexp_map.
=head2 A shortcut for array refs
A number of parts of the input profile specification include array references
as their values. In any of these places, you can simply use a string if you
only need to specify one value. For example, instead of
filters => [ 'trim' ]
you can simply say
filters => 'trim'
=head2 A note on regular expression formats
In addition to using the preferred method of defining regular expressions
using C<qr>, a deprecated style of defining them as strings is also supported.
Preferred:
qr/this is great/
Deprecated, but supported
'm/this still works/'
=head1 VALIDATING INPUT BASED ON MULTIPLE FIELDS
You can pass more than one value into a constraint routine. For that, the
value of the constraint should be a hash reference. If you are creating your
own routines, be sure to read the section labeled L<WRITING YOUR OWN VALIDATION
ROUTINES>, in the Data::FormValidator::Constraints documentation. It describes
a newer and more flexible syntax.
Using the original syntax, one key should be named C<constraint> and should
have a value set to the reference of the subroutine or the name of a built-in
validator. Another required key is C<params>. The value of the C<params> key
is a reference to an array of the other elements to use in the validation. If
the element is a scalar, it is assumed to be a field name. If the value is a
reference, the reference is passed directly to the routine. Don't forget to
include the name of the field to check in that list, if you are using this syntax.
B<Example>:
cc_no => {
constraint => "cc_number",
params => [ qw( cc_no cc_type ) ],
},
=head1 MULTIPLE CONSTRAINTS
Multiple constraints can be applied to a single field by defining the value of
the constraint to be an array reference. Each of the values in this array can
be any of the constraint types defined above.
When using multiple constraints it is important to return the name of the
constraint that failed so you can distinquish between them. To do that,
either use a named constraint, or use the hash ref method of defining a
constraint and include a C<name> key with a value set to the name of your
constraint. Here's an example:
my_zipcode_field => [
'zip',
{
constraint => '/^406/',
name => 'starts_with_406',
}
],
You can use an array reference with a single constraint in it if you just want
to have the name of your failed constraint returned in the above fashion.
Read about the C<validate()> function above to see how multiple constraints
are returned differently with that method.
=cut
sub
load_profiles {
my
$self
=
shift
;
my
$file
=
$self
->{profile_file};
return
unless
$file
;
die
"No such file: $file\n"
unless
-f
$file
;
die
"Can't read $file\n"
unless
-r _;
my
$mtime
= (
stat
_)[9];
return
if
$self
->{profiles} and
$self
->{profiles_mtime} <=
$mtime
;
$self
->{profiles} =
do
$file
;
die
"Input profiles didn't return a hash ref\n"
unless
ref
$self
->{profiles} eq
"HASH"
;
$self
->{profiles_mtime} =
$mtime
;
}
# check the profile syntax and die if we have an error
sub
_check_profile_syntax {
my
$profile
=
shift
;
(
ref
$profile
eq
'HASH'
) or
die
"Invalid input profile: needs to be a hash reference\n"
;
my
%valid_profile_keys
= (
constraint_regexp_map
=>
undef
,
constraints
=>
undef
,
defaults
=>
undef
,
dependencies
=>
undef
,
dependency_groups
=>
undef
,
field_filter_regexp_map
=>
undef
,
field_filters
=>
undef
,
filters
=>
undef
,
missing_optional_valid
=>
undef
,
msgs
=>
undef
,
optional
=>
undef
,
optional_regexp
=>
undef
,
require_some
=>
undef
,
required
=>
undef
,
required_regexp
=>
undef
,
untaint_all_constraints
=>
undef
,
validator_packages
=>
undef
,
untaint_constraint_fields
=>
undef
,
debug
=>
undef
,
);
# If any of the keys in the profile are not listed as
# valid keys here, we die with an error
my
@invalid
;
for
my
$key
(
keys
%$profile
) {
push
@invalid
,
$key
unless
exists
$valid_profile_keys
{
$key
};
}
return
unless
@invalid
;
local
$" =
', '
;
die
"Invalid input profile: keys not recognised [@invalid]\n"
;
}
1;
__END__
=pod
=head1 ADVANCED VALIDATION
For even more advanced validation, you will likely want to read the documentation
for other modules in this distribution, linked below. Also keep in mind that the
Data::FormValidator profile structure is just another data structure. There is
no reason why it needs to be defined statically. The profile could also be built
on the fly with custom Perl code.
=head1 SEE ALSO
B<Other modules in this distribution:>
L<Data::FormValidator::Constraints|Data::FormValidator::Constraints>
L<Data::FormValidator::Constraints::Dates|Data::FormValidator::Constraints::Dates>
L<Data::FormValidator::Constraints::Upload|Data::FormValidator::Constraints::Upload>
L<Data::FormValidator::ConstraintsFactory|Data::FormValidator::ConstraintsFactory>
L<Data::FormValidator::Filters|Data::FormValidator::Filters>
L<Data::FormValidator::Results|Data::FormValidator::Results>
B<A sample application by the maintainer:>
Validating Web Forms with Perl, L<http://mark.stosberg.com/Tech/perl/form-validation/>
B<Related modules:>
L<Data::FormValidator::Util::HTML|Data::FormValidator::Util::HTML>
L<Data::FormValidator::Tutorial|Data::FormValidator::Tutorial> is now out of date.
The sample application above may be a more useful introduction.
L<CGI::Application::ValidateRM|CGI::Application::ValidateRM>, a
CGI::Application & Data::FormValidator glue module
L<HTML::Template::Associate::FormValidator|HTML::Template::Associate::FormValidator> is designed
to make some kinds of integration with HTML::Template easier.
L<Params::Validate|Params::Validate> is useful for validating function parameters.
L<Regexp::Common|Regexp::Common>,
L<Data::Types|Data::Types>,
L<Data::Verify|Data::Verify>,
L<Email::Valid|Email::Valid>,
L<String::Checker|String::Checker>,
L<CGI::ArgChecker|CGI::ArgChecker>,
L<CGI::FormMagick::Validator|CGI::FormMagick::Validator>,
L<CGI::Validate|CGI::Validate>
B<Document Translations:>
Japanese: L<http://perldoc.jp/docs/modules/>
B<Distributions which include Data::formValidator>
FreeBSD includes a port named B<p5-Data-FormValidator>
Debian GNU/Linux includes a port named B<libdata-formvalidator-perl>
=head1 CREDITS
Some of those input validation functions have been taken from MiniVend
by Michael J. Heins.
The credit card checksum validation was taken from contribution by Bruce
Albrecht to the MiniVend program.
=head1 BUGS
=head1 AUTHOR
Parts Copyright 2001-2003 by Mark Stosberg <markstos@cpan.org>, (Current Maintainer)
Copyright (c) 1999 Francis J. Lacoste and iNsu Innovations Inc. All rights reserved.
(Original Author)
Parts Copyright 1996-1999 by Michael J. Heins <mike@heins.net>
Parts Copyright 1996-1999 by Bruce Albrecht <bruce.albrecht@seag.fingerhut.com>
B<Support Mailing List>
If you have any questions, comments, bug reports or feature suggestions,
post them to the support mailing list! To join the mailing list, visit
=head1 LICENSE
This program is free software; you can redistribute it and/or modify
it under the terms as perl itself.
=cut