Data::Flow - Perl extension for simple-minded recipe-controlled build of data.
use Data::Flow; $recipes = { path => { default => './MANIFEST'}, contents => { prerequisites => ['path', 'x'] , process => sub { my $data = shift; $data->{ shift() } = `cat $data->{'path'}` x $data->{'x'}; } }, }; $request = new Data::Flow $recipes; $request->set( x => 1); print $request->get('contents'); tie %request, Data::Flow, $recipes; $request{x} = 1; print $request{contents};
The module Data::Flow provides its services via objects. The objects may be obtained by the usual
$request = new Data::Flow $recipes;
paradigm. The argument $recipes is a hash reference, which provides the rules for request processing. The objects support three methods, set(), get(), aget(), and already_set(). The first one is used to provide input data for processing, the second one to obtain the output. The third one to obtain a reference to an array with results of repeated get(), and the last one to query whether a field is already known.
The unit of requested information is a field. The method set() takes a pair field => value, the methods get() and already_set() take one argument: the field, and the method aget() takes multiple fields.
field => value
field
Every object is created without any fields filled, but it knows how to construct fields basing on other fields or some global into. This knowledge is provided in the argument $recipe of the new() function. This is a reference to a hash, keyed by fields. The values of this hash are hash references themselves, which describe how to acquire the field which is the corresponding key of the initial hash.
The internal hashes may have the following keys:
default
describes the default value for the key, if none is provided by set(). The value becomes the value of the field of the object. No additional processing is performed. Example:
default => $Config{installdir}
prerequisites
gives the fields which are needed for the construction of the given field. The corresponding value is an array references. The array contains the required fields.
If defaults did not satisfy the request for a field, but $recipe->{field}{prerequisites} exists, the required fields are build before any further processing is done. Example:
defaults
$recipe->{field}{prerequisites}
prerequisites => [ qw(prefix arch) ]
process
contains the rule to build the field. The value is a reference to a subroutine taking 2 arguments: the reference to a hash with all the fields which have been set, and the name of the required field. It is up to the subroutine to actually fill the corresponding field of the hash, an error condition is raised if it did not. Example:
process => sub { my $data = shift; $data->{time} = localtime(time) } }
oo_process
contains the rule to build the field. The value is a reference to a subroutine taking 2 arguments: the object $request, and the name of the required field. It is up to the subroutine to actually fill the corresponding field of $request, an error condition is raised if it did not. Example:
oo_process => sub { my $data = shift; $data->set( time => localtime(time) ) }
output
the corresponing value has the same meaning as for process, but the return value of the subroutine is used as the value of the field. Example:
output => sub { localtime(time) }
oo_output
the corresponing value has the same meaning as for process, but the return value of the method is used as the value of the field. Example:
output => sub { my $self = shift; $self->get('r') . localtime(time) }
filter
contains the rule to build the field basing on other fields. The value is a reference to an array. The first element of the array is a reference to a subroutine, the rest contains names of the fields. When the subroutine is called, the arguments are the values of fields of the object $request which appear in the array (in the same order). The return value of the subroutine is used as the value of the field. Example:
filter => [ sub { shift + shift }, 'first_half', 'second_half' ]
Note that the mentioned field will be automatically marked as prerequisites.
self_filter
is similar to filter, but an extra argument, the object itself, is put in front of the list of arguments. Example:
self_filter => [ sub { my ($self, $first_half = (shift, shift); $first_half *= -$self->get('total')*100 if $first_half < 0; # negative means percentage $first_half + shift }, 'first_half', 'second_half' ]
class_filter
is similar to filter, but the first argument is the name of the method to call, second one is the name of the package to use for the method invocation. The rest contains names of field to provide as method arguments. Example:
class_filter => [ 'new', 'FileHandle', 'filename' ]
method_filter
is similar to class_filter, but the second argument is the name of the field which is used to call the method upon. Example:
method_filter => [ 'show', 'widget_name', 'current_display' ]
The access to the same functionality is available via tied hash interface.
Ilya Zakharevich, cpan@ilyaz.org, with multiple additions from Terrence Monroe Brannon and Radoslav Nedyalkov.
perl(1), make(1).
To install Data::Flow, copy and paste the appropriate command in to your terminal.
cpanm
cpanm Data::Flow
CPAN shell
perl -MCPAN -e shell install Data::Flow
For more information on module installation, please visit the detailed CPAN module installation guide.