2019-04-24 12:07:57 +08:00
2019-03-23 16:42:23 +08:00
= begin comment
Kubernetes
No description provided ( generated by Openapi Generator https: //gi thub . com /openapitools/o penapi - generator )
2019-05-16 20:24:00 +08:00
The version of the OpenAPI document: v1 .13 .7
2019-03-23 16:42:23 +08:00
Generated by: https: //o penapi - 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::V2beta1HorizontalPodAutoscalerSpec ;
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::V2beta1CrossVersionObjectReference ;
use Kubernetes::Object::V2beta1MetricSpec ;
2019-04-24 12:07:57 +08:00
use base ( "Class::Accessor" , "Class::Data::Inheritable" ) ;
2019-03-23 16:42:23 +08:00
#
#HorizontalPodAutoscalerSpec describes the desired functionality of the HorizontalPodAutoscaler.
#
# 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: //gi thub . com /openapitools/o penapi - generator )
2019-05-16 20:24:00 +08:00
The version of the OpenAPI document: v1 .13 .7
2019-03-23 16:42:23 +08:00
Generated by: https: //o penapi - 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
#
2019-04-24 12:07:57 +08:00
__PACKAGE__ - > mk_classdata ( 'attribute_map' = > { } ) ;
__PACKAGE__ - > mk_classdata ( 'openapi_types' = > { } ) ;
__PACKAGE__ - > mk_classdata ( 'method_documentation' = > { } ) ;
__PACKAGE__ - > mk_classdata ( 'class_documentation' = > { } ) ;
2019-03-23 16:42:23 +08:00
2019-05-16 20:24:00 +08:00
# new plain object
2019-04-24 12:07:57 +08:00
sub new {
my ( $ class , % args ) = @ _ ;
my $ self = bless { } , $ class ;
2019-05-16 20:24:00 +08:00
$ self - > init ( % args ) ;
2019-04-24 12:07:57 +08:00
return $ self ;
}
2019-03-23 16:42:23 +08:00
2019-05-16 20:24:00 +08:00
# 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 } ) ;
}
}
2019-03-23 16:42:23 +08:00
# return perl hash
sub to_hash {
2019-05-16 20:24:00 +08:00
my $ self = shift ;
my $ _hash = decode_json ( JSON - > new - > convert_blessed - > encode ( $ self ) ) ;
return $ _hash ;
2019-03-23 16:42:23 +08:00
}
# used by JSON for serialization
2019-04-24 12:07:57 +08:00
sub TO_JSON {
my $ self = shift ;
2019-03-23 16:42:23 +08:00
my $ _data = { } ;
2019-04-24 12:07:57 +08:00
foreach my $ _key ( keys % { $ self - > attribute_map } ) {
if ( defined $ self - > { $ _key } ) {
$ _data - > { $ self - > attribute_map - > { $ _key } } = $ self - > { $ _key } ;
2019-03-23 16:42:23 +08:00
}
}
2019-05-16 20:24:00 +08:00
2019-03-23 16:42:23 +08:00
return $ _data ;
}
# from Perl hashref
sub from_hash {
2019-04-24 12:07:57 +08:00
my ( $ self , $ hash ) = @ _ ;
2019-03-23 16:42:23 +08:00
# loop through attributes and use openapi_types to deserialize the data
2019-04-24 12:07:57 +08:00
while ( my ( $ _key , $ _type ) = each % { $ self - > openapi_types } ) {
my $ _json_attribute = $ self - > attribute_map - > { $ _key } ;
2019-05-16 20:24:00 +08:00
if ( $ _type =~ /^array\[(.+)\]$/i ) { # array
my $ _subclass = $ 1 ;
2019-04-24 12:07:57 +08:00
my @ _array = ( ) ;
foreach my $ _element ( @ { $ hash - > { $ _json_attribute } } ) {
push @ _array , $ self - > _deserialize ( $ _subclass , $ _element ) ;
2019-03-23 16:42:23 +08:00
}
$ self - > { $ _key } = \ @ _array ;
2019-04-24 12:07:57 +08:00
}
2019-05-16 20:24:00 +08:00
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 ;
}
2019-04-24 12:07:57 +08:00
elsif ( exists $ hash - > { $ _json_attribute } )
2019-05-16 20:24:00 +08:00
{ #hash(model), primitive, datetime
2019-04-24 12:07:57 +08:00
$ self - > { $ _key } =
$ self - > _deserialize ( $ _type , $ hash - > { $ _json_attribute } ) ;
}
else {
$ log - > debugf ( "Warning: %s (%s) does not exist in input hash\n" ,
$ _key , $ _json_attribute ) ;
2019-03-23 16:42:23 +08:00
}
}
2019-04-24 12:07:57 +08:00
2019-03-23 16:42:23 +08:00
return $ self ;
}
# deserialize non-array data
sub _deserialize {
2019-04-24 12:07:57 +08:00
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' ) ) ) {
2019-03-23 16:42:23 +08:00
return $ data ;
2019-04-24 12:07:57 +08:00
}
else { # hash(model)
2019-03-23 16:42:23 +08:00
my $ _instance = eval "Kubernetes::Object::$type->new()" ;
return $ _instance - > from_hash ( $ data ) ;
}
}
2019-04-24 12:07:57 +08:00
__PACKAGE__ - > class_documentation (
{
description = >
'HorizontalPodAutoscalerSpec describes the desired functionality of the HorizontalPodAutoscaler.' ,
class = > 'V2beta1HorizontalPodAutoscalerSpec' ,
required = > [] , # TODO
}
) ;
__PACKAGE__ - > method_documentation (
{
'max_replicas' = > {
datatype = > 'int' ,
base_name = > 'maxReplicas' ,
description = >
'maxReplicas is the upper limit for the number of replicas to which the autoscaler can scale up. It cannot be less that minReplicas.' ,
format = > '' ,
read_only = > '' ,
} ,
'metrics' = > {
datatype = > 'ARRAY[V2beta1MetricSpec]' ,
base_name = > 'metrics' ,
description = >
'metrics contains the specifications for which to use to calculate the desired replica count (the maximum replica count across all metrics will be used). The desired replica count is calculated multiplying the ratio between the target value and the current value by the current number of pods. Ergo, metrics used must decrease as the pod count is increased, and vice-versa. See the individual metric source types for more information about how each type of metric must respond.' ,
format = > '' ,
read_only = > '' ,
} ,
'min_replicas' = > {
datatype = > 'int' ,
base_name = > 'minReplicas' ,
description = >
'minReplicas is the lower limit for the number of replicas to which the autoscaler can scale down. It defaults to 1 pod.' ,
format = > '' ,
read_only = > '' ,
} ,
'scale_target_ref' = > {
datatype = > 'V2beta1CrossVersionObjectReference' ,
base_name = > 'scaleTargetRef' ,
description = > '' ,
format = > '' ,
read_only = > '' ,
} ,
}
) ;
__PACKAGE__ - > openapi_types (
{
'max_replicas' = > 'int' ,
'metrics' = > 'ARRAY[V2beta1MetricSpec]' ,
'min_replicas' = > 'int' ,
'scale_target_ref' = > 'V2beta1CrossVersionObjectReference'
}
) ;
__PACKAGE__ - > attribute_map (
{
'max_replicas' = > 'maxReplicas' ,
'metrics' = > 'metrics' ,
'min_replicas' = > 'minReplicas' ,
'scale_target_ref' = > 'scaleTargetRef'
}
) ;
2019-03-23 16:42:23 +08:00
2019-04-24 12:07:57 +08:00
__PACKAGE__ - > mk_accessors ( keys % { __PACKAGE__ - > attribute_map } ) ;
2019-03-23 16:42:23 +08:00
1 ;