Files
perl/lib/Kubernetes/Object/V1NodeAffinity.pm
2019-05-16 20:27:55 +08:00

218 lines
6.4 KiB
Perl

=begin comment
Kubernetes
No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator)
The version of the OpenAPI document: v1.13.7
Generated by: https://openapi-generator.tech
=end comment
=cut
#
# NOTE: This class is auto generated by OpenAPI Generator (https://openapi-generator.tech).
# Do not edit the class manually.
# Ref: https://openapi-generator.tech
#
package Kubernetes::Object::V1NodeAffinity;
require 5.6.0;
use strict;
use warnings;
use utf8;
use JSON qw(decode_json);
use Data::Dumper;
use Module::Runtime qw(use_module);
use Log::Any qw($log);
use Date::Parse;
use DateTime;
use Kubernetes::Object::V1NodeSelector;
use Kubernetes::Object::V1PreferredSchedulingTerm;
use base ( "Class::Accessor", "Class::Data::Inheritable" );
#
#Node affinity is a group of node affinity scheduling rules.
#
# NOTE: This class is auto generated by OpenAPI Generator (https://openapi-generator.tech). Do not edit the class manually.
# REF: https://openapi-generator.tech
#
=begin comment
Kubernetes
No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator)
The version of the OpenAPI document: v1.13.7
Generated by: https://openapi-generator.tech
=end comment
=cut
#
# NOTE: This class is auto generated by OpenAPI Generator (https://openapi-generator.tech).
# Do not edit the class manually.
# Ref: https://openapi-generator.tech
#
__PACKAGE__->mk_classdata( 'attribute_map' => {} );
__PACKAGE__->mk_classdata( 'openapi_types' => {} );
__PACKAGE__->mk_classdata( 'method_documentation' => {} );
__PACKAGE__->mk_classdata( 'class_documentation' => {} );
# new plain object
sub new {
my ( $class, %args ) = @_;
my $self = bless {}, $class;
$self->init(%args);
return $self;
}
# initialize the object
sub init {
my ( $self, %args ) = @_;
foreach my $attribute ( keys %{ $self->attribute_map } ) {
my $args_key = $self->attribute_map->{$attribute};
$self->$attribute( $args{$args_key} );
}
}
# return perl hash
sub to_hash {
my $self = shift;
my $_hash = decode_json( JSON->new->convert_blessed->encode($self) );
return $_hash;
}
# used by JSON for serialization
sub TO_JSON {
my $self = shift;
my $_data = {};
foreach my $_key ( keys %{ $self->attribute_map } ) {
if ( defined $self->{$_key} ) {
$_data->{ $self->attribute_map->{$_key} } = $self->{$_key};
}
}
return $_data;
}
# from Perl hashref
sub from_hash {
my ( $self, $hash ) = @_;
# loop through attributes and use openapi_types to deserialize the data
while ( my ( $_key, $_type ) = each %{ $self->openapi_types } ) {
my $_json_attribute = $self->attribute_map->{$_key};
if ( $_type =~ /^array\[(.+)\]$/i ) { # array
my $_subclass = $1;
my @_array = ();
foreach my $_element ( @{ $hash->{$_json_attribute} } ) {
push @_array, $self->_deserialize( $_subclass, $_element );
}
$self->{$_key} = \@_array;
}
elsif ( $_type =~ /^hash\[string,(.+)\]$/i ) { # hash
my $_subclass = $1;
my %_hash = ();
while ( my ( $_key, $_element ) =
each %{ $hash->{$_json_attribute} } )
{
$_hash{$_key} = $self->_deserialize( $_subclass, $_element );
}
$self->{$_key} = \%_hash;
}
elsif ( exists $hash->{$_json_attribute} )
{ #hash(model), primitive, datetime
$self->{$_key} =
$self->_deserialize( $_type, $hash->{$_json_attribute} );
}
else {
$log->debugf( "Warning: %s (%s) does not exist in input hash\n",
$_key, $_json_attribute );
}
}
return $self;
}
# deserialize non-array data
sub _deserialize {
my ( $self, $type, $data ) = @_;
$log->debugf( "deserializing %s with %s", Dumper($data), $type );
if ( $type eq 'DateTime' ) {
return DateTime->from_epoch( epoch => str2time($data) );
}
elsif ( grep( /^$type$/, ( 'int', 'double', 'string', 'boolean' ) ) ) {
return $data;
}
else { # hash(model)
my $_instance = eval "Kubernetes::Object::$type->new()";
return $_instance->from_hash($data);
}
}
__PACKAGE__->class_documentation(
{
description =>
'Node affinity is a group of node affinity scheduling rules.',
class => 'V1NodeAffinity',
required => [], # TODO
}
);
__PACKAGE__->method_documentation(
{
'preferred_during_scheduling_ignored_during_execution' => {
datatype => 'ARRAY[V1PreferredSchedulingTerm]',
base_name => 'preferredDuringSchedulingIgnoredDuringExecution',
description =>
'The scheduler will prefer to schedule pods to nodes that satisfy the affinity expressions specified by this field, but it may choose a node that violates one or more of the expressions. The node that is most preferred is the one with the greatest sum of weights, i.e. for each node that meets all of the scheduling requirements (resource request, requiredDuringScheduling affinity expressions, etc.), compute a sum by iterating through the elements of this field and adding \"weight\" to the sum if the node matches the corresponding matchExpressions; the node(s) with the highest sum are the most preferred.',
format => '',
read_only => '',
},
'required_during_scheduling_ignored_during_execution' => {
datatype => 'V1NodeSelector',
base_name => 'requiredDuringSchedulingIgnoredDuringExecution',
description => '',
format => '',
read_only => '',
},
}
);
__PACKAGE__->openapi_types(
{
'preferred_during_scheduling_ignored_during_execution' =>
'ARRAY[V1PreferredSchedulingTerm]',
'required_during_scheduling_ignored_during_execution' =>
'V1NodeSelector'
}
);
__PACKAGE__->attribute_map(
{
'preferred_during_scheduling_ignored_during_execution' =>
'preferredDuringSchedulingIgnoredDuringExecution',
'required_during_scheduling_ignored_during_execution' =>
'requiredDuringSchedulingIgnoredDuringExecution'
}
);
__PACKAGE__->mk_accessors( keys %{ __PACKAGE__->attribute_map } );
1;