perl/lib/Kubernetes/Object/V1PodAffinity.pm

=begin comment

Kubernetes

No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator)

OpenAPI spec version: v1.13.5

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::V1PodAffinity;

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::V1PodAffinityTerm;
use Kubernetes::Object::V1WeightedPodAffinityTerm;

use base ( "Class::Accessor", "Class::Data::Inheritable" );

#
#Pod affinity is a group of inter pod 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)

OpenAPI spec version: v1.13.5

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 object
sub new {
    my ( $class, %args ) = @_;

    my $self = bless {}, $class;

    foreach my $attribute ( keys %{ $class->attribute_map } ) {
        my $args_key = $class->attribute_map->{$attribute};
        $self->$attribute( $args{$args_key} );
    }

    return $self;
}

# return perl hash
sub to_hash {
    return decode_json( JSON->new->convert_blessed->encode(shift) );
}

# 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 = substr( $_type, 6, -1 );
            my @_array    = ();
            foreach my $_element ( @{ $hash->{$_json_attribute} } ) {
                push @_array, $self->_deserialize( $_subclass, $_element );
            }
            $self->{$_key} = \@_array;
        }
        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 =>
          'Pod affinity is a group of inter pod affinity scheduling rules.',
        class    => 'V1PodAffinity',
        required => [],                # TODO
    }
);

__PACKAGE__->method_documentation(
    {
        'preferred_during_scheduling_ignored_during_execution' => {
            datatype  => 'ARRAY[V1WeightedPodAffinityTerm]',
            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 has pods which matches the corresponding podAffinityTerm; the node(s) with the highest sum are the most preferred.',
            format    => '',
            read_only => '',
        },
        'required_during_scheduling_ignored_during_execution' => {
            datatype  => 'ARRAY[V1PodAffinityTerm]',
            base_name => 'requiredDuringSchedulingIgnoredDuringExecution',
            description =>
'If the affinity requirements specified by this field are not met at scheduling time, the pod will not be scheduled onto the node. If the affinity requirements specified by this field cease to be met at some point during pod execution (e.g. due to a pod label update), the system may or may not try to eventually evict the pod from its node. When there are multiple elements, the lists of nodes corresponding to each podAffinityTerm are intersected, i.e. all terms must be satisfied.',
            format    => '',
            read_only => '',
        },
    }
);

__PACKAGE__->openapi_types(
    {
        'preferred_during_scheduling_ignored_during_execution' =>
          'ARRAY[V1WeightedPodAffinityTerm]',
        'required_during_scheduling_ignored_during_execution' =>
          'ARRAY[V1PodAffinityTerm]'
    }
);

__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;