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2025-06-25 21:02:28 +00:00

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/*
Copyright 2023 The KServe Authors.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
*/
// Code generated by informer-gen. DO NOT EDIT.
package v1alpha1
import (
context "context"
time "time"
apisservingv1alpha1 "github.com/kserve/kserve/pkg/apis/serving/v1alpha1"
versioned "github.com/kserve/kserve/pkg/client/clientset/versioned"
internalinterfaces "github.com/kserve/kserve/pkg/client/informers/externalversions/internalinterfaces"
servingv1alpha1 "github.com/kserve/kserve/pkg/client/listers/serving/v1alpha1"
v1 "k8s.io/apimachinery/pkg/apis/meta/v1"
runtime "k8s.io/apimachinery/pkg/runtime"
watch "k8s.io/apimachinery/pkg/watch"
cache "k8s.io/client-go/tools/cache"
)
// TrainedModelInformer provides access to a shared informer and lister for
// TrainedModels.
type TrainedModelInformer interface {
Informer() cache.SharedIndexInformer
Lister() servingv1alpha1.TrainedModelLister
}
type trainedModelInformer struct {
factory internalinterfaces.SharedInformerFactory
tweakListOptions internalinterfaces.TweakListOptionsFunc
namespace string
}
// NewTrainedModelInformer constructs a new informer for TrainedModel type.
// Always prefer using an informer factory to get a shared informer instead of getting an independent
// one. This reduces memory footprint and number of connections to the server.
func NewTrainedModelInformer(client versioned.Interface, namespace string, resyncPeriod time.Duration, indexers cache.Indexers) cache.SharedIndexInformer {
return NewFilteredTrainedModelInformer(client, namespace, resyncPeriod, indexers, nil)
}
// NewFilteredTrainedModelInformer constructs a new informer for TrainedModel type.
// Always prefer using an informer factory to get a shared informer instead of getting an independent
// one. This reduces memory footprint and number of connections to the server.
func NewFilteredTrainedModelInformer(client versioned.Interface, namespace string, resyncPeriod time.Duration, indexers cache.Indexers, tweakListOptions internalinterfaces.TweakListOptionsFunc) cache.SharedIndexInformer {
return cache.NewSharedIndexInformer(
&cache.ListWatch{
ListFunc: func(options v1.ListOptions) (runtime.Object, error) {
if tweakListOptions != nil {
tweakListOptions(&options)
}
return client.ServingV1alpha1().TrainedModels(namespace).List(context.Background(), options)
},
WatchFunc: func(options v1.ListOptions) (watch.Interface, error) {
if tweakListOptions != nil {
tweakListOptions(&options)
}
return client.ServingV1alpha1().TrainedModels(namespace).Watch(context.Background(), options)
},
ListWithContextFunc: func(ctx context.Context, options v1.ListOptions) (runtime.Object, error) {
if tweakListOptions != nil {
tweakListOptions(&options)
}
return client.ServingV1alpha1().TrainedModels(namespace).List(ctx, options)
},
WatchFuncWithContext: func(ctx context.Context, options v1.ListOptions) (watch.Interface, error) {
if tweakListOptions != nil {
tweakListOptions(&options)
}
return client.ServingV1alpha1().TrainedModels(namespace).Watch(ctx, options)
},
},
&apisservingv1alpha1.TrainedModel{},
resyncPeriod,
indexers,
)
}
func (f *trainedModelInformer) defaultInformer(client versioned.Interface, resyncPeriod time.Duration) cache.SharedIndexInformer {
return NewFilteredTrainedModelInformer(client, f.namespace, resyncPeriod, cache.Indexers{cache.NamespaceIndex: cache.MetaNamespaceIndexFunc}, f.tweakListOptions)
}
func (f *trainedModelInformer) Informer() cache.SharedIndexInformer {
return f.factory.InformerFor(&apisservingv1alpha1.TrainedModel{}, f.defaultInformer)
}
func (f *trainedModelInformer) Lister() servingv1alpha1.TrainedModelLister {
return servingv1alpha1.NewTrainedModelLister(f.Informer().GetIndexer())
}