Data::Walk::Prune - A way to say what should be removed
#!perl use Moose::Util qw( with_traits ); use Data::Walk::Extracted; use Data::Walk::Prune; use Data::Walk::Print; my $edward_scissorhands = with_traits( 'Data::Walk::Extracted', ( 'Data::Walk::Prune', 'Data::Walk::Print', ), )->new( change_array_size => 1, );#Default my $firstref = { Helping => [ 'Somelevel', { MyKey => { MiddleKey => { LowerKey1 => 'low_value1', LowerKey2 => { BottomKey1 => 'bvalue1', BottomKey2 => 'bvalue2', }, }, }, }, ], }; my $result = $edward_scissorhands->prune_data( tree_ref => $firstref, slice_ref => { Helping => [ undef, { MyKey => { MiddleKey => { LowerKey1 => {}, }, }, }, ], }, ); $edward_scissorhands->print_data( $result ); ###################################################################################### # Output of SYNOPSIS # 01 { # 02 Helping => [ # 03 'Somelevel', # 04 { # 05 MyKey => { # 06 MiddleKey => { # 07 LowerKey2 => { # 08 BottomKey1 => 'bvalue1', # 09 BottomKey2 => 'bvalue2', # 10 }, # 12 }, # 13 }, # 14 }, # 15 ], # 16 }, ######################################################################################
This Moose::Role implements the method prune_data. It takes a $tree_ref and a $slice_ref and uses Data::Walk::Extracted. To remove portions of the 'tree_ref' defined by an empty hash ref (no keys) or an empty array ref (no positions) at all required points of the 'slice_ref'. The 'slice_ref' must match the tree ref up to each slice point. If the slice points are on a branch of the slice_ref that does not exist on the tree_ref then no cut takes place.
This is a Moose::Role specifically designed to be used with Data::Walk::Extracted . It can be combined traditionaly to the ~::Extracted class using Moose methods or for information on how to join this role to Data::Walk::Extracted at run time see Moose::Util or MooseX::ShortCut::BuildInstance for more information.
Data passed to ->new when creating an instance. For modification of these attributes see Methods. The ->new function will either accept fat comma lists or a complete hash ref that has the possible attributes as the top keys. Additionally some attributes that have all the following methods; get_$attribute, set_$attribute, has_$attribute, and clear_$attribute, can be passed to prune_data and will be adjusted for just the run of that method call. These are called 'one shot' attributes. The class and each role (where applicable) in this package have a list of supported one shot attributes .
Definition: When running a prune operation any branch called on the pruner that does not exist in the tree will not be used. This attribute turns on tracking of the actual cuts made and stores them for review after the method is complete. This is a way to know if the cut was actually implemented.
Default undefined
Range 1 = remember the cuts | 0 = don't remember
Data::Walk::Extracted - Attributes
Definition: This is a method used to remove targeted parts of a data reference.
Accepts: a hash ref with the keys 'slice_ref' and 'tree_ref' (both required). The slice ref can contain more than one 'slice' location in the data reference.
tree_ref This is the primary data ref that will be manipulated and returned changed.
slice_ref This is a data ref that will be used to prune the 'tree_ref'. In general the slice_ref should match the tree_ref for positions that should remain unchanged. Where the tree_ref should be trimmed insert either an empty array ref or an empty hash ref. If this position represents a value in a hash key => value pair then the hash key is deleted. If this position represents a value in an array then the position is deleted/cleared depending on the attribute change_array_size in Data::Walk::Extracted. If the slice ref diverges from the tree ref then no action is taken past the divergence, even if there is a mandated slice. (no auto vivication occurs!)
[attribute name] - attribute names are accepted with temporary attribute settings. These settings are temporarily set for a single "prune_data" call and then the original attribute values are restored. For this to work the the attribute must meet the necessary criteria.
Example
$pruned_tree_ref = $self->prune_data( tree_ref => $tree_data, slice_ref => $slice_data, prune_memory => 0, );
Returns: The $tree_ref with any changes
Definition: This will change the setting of the prune_memory attribute.
Accepts: 1 = remember | 0 = no memory
Returns: nothing
Definition: This will return the current setting of the prune_memory attribute.
Accepts: nothing
Returns: A $Bool value for the current state
Definition: This will indicate if the prune_memory attribute is set
Returns: A $Bool value 1 = defined, 0 = not defined
Definition: This will clear the prune_memory attribute value (Not the actual prune memory)
Definition: This answers if any pruned positions were stored
Returns: A $Bool value 1 = pruned cuts are stored, 0 = no stored cuts
Definition: This returns an array ref of stored cuts
Returns: an ArrayRef - although the cuts were defined in one data ref this will return one data ref per cut. Each ref will go to the root of the original data ref.
Definition: This returns the number of cuts actually made
Returns: an integer
Because this uses Data::Walk::Extracted the final $tree_ref is deep cloned where the $slice_ref passed through.
explanation
$ENV{Smart_Comments}
The module uses Smart::Comments if the '-ENV' option is set. The 'use' is encapsulated in an if block triggered by an environmental variable to comfort non-believers. Setting the variable $ENV{Smart_Comments} in a BEGIN block will load and turn on smart comment reporting. There are three levels of 'Smartness' available in this module '###', '####', and '#####'.
github Data-Walk-Extracted/issues
1. Add Log::Shiras debugging in exchange for Smart::Comments
2. Support pruning through Objects / Instances nodes
3. Support pruning through CodeRef nodes
4. Support pruning through REF nodes
This program is free software; you can redistribute it and/or modify it under the same terms as Perl itself.
The full text of the license can be found in the LICENSE file included with this module.
This software is copyrighted (c) 2013 by Jed Lund.
version
Moose::Role
requires
MooseX::Types::Moose
Data::Walk::Extracted
Data::Walk::Extracted::Dispatch
Smart::Comments - is used if the -ENV option is set
Data::Walk
Data::Walker
Data::ModeMerge
Data::Walk::Print - available Data::Walk::Extracted Role
Data::Walk::Graft - available Data::Walk::Extracted Role
Data::Walk::Clone - available Data::Walk::Extracted Role
To install Data::Walk::Extracted, copy and paste the appropriate command in to your terminal.
cpanm
cpanm Data::Walk::Extracted
CPAN shell
perl -MCPAN -e shell install Data::Walk::Extracted
For more information on module installation, please visit the detailed CPAN module installation guide.