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add HPA feature/unit/fvt/docs/script
Update run-fvt.yaml to support 1.25 kubernetes(hpa v2) Signed-off-by: jooho <jlee@redhat.com>
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,189 @@ | ||
| /* | ||
| Copyright 2021 IBM Corporation | ||
| 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. | ||
| */ | ||
| package v1alpha1 | ||
|
|
||
| import ( | ||
| "context" | ||
| "fmt" | ||
| "net/http" | ||
| "strconv" | ||
|
|
||
| kservev1alpha "github.com/kserve/kserve/pkg/apis/serving/v1alpha1" | ||
| "github.com/kserve/kserve/pkg/constants" | ||
| "github.com/kserve/modelmesh-serving/controllers/autoscaler" | ||
| "sigs.k8s.io/controller-runtime/pkg/client" | ||
| "sigs.k8s.io/controller-runtime/pkg/webhook/admission" | ||
| ) | ||
|
|
||
| //+kubebuilder:webhook:path=/validate-serving-modelmesh-io-v1alpha1-servingruntime,mutating=false,failurePolicy=fail,sideEffects=None,groups=serving.kserve.io,resources=servingruntimes;clusterservingruntimes,verbs=create;update,versions=v1alpha1,name=servingruntime.modelmesh-webhook-server.default,admissionReviewVersions=v1 | ||
| type ServingRuntimeWebhook struct { | ||
| Client client.Client | ||
| decoder *admission.Decoder | ||
| } | ||
|
|
||
| func (s *ServingRuntimeWebhook) Handle(ctx context.Context, req admission.Request) admission.Response { | ||
| var srAnnotations map[string]string | ||
|
|
||
| if req.Kind.Kind == "ServingRuntime" { | ||
| servingRuntime := &kservev1alpha.ServingRuntime{} | ||
| err := s.decoder.Decode(req, servingRuntime) | ||
| if err != nil { | ||
| return admission.Errored(http.StatusBadRequest, err) | ||
| } | ||
| srAnnotations = servingRuntime.ObjectMeta.Annotations | ||
| } else { | ||
| clusterServingRuntime := &kservev1alpha.ClusterServingRuntime{} | ||
| err := s.decoder.Decode(req, clusterServingRuntime) | ||
| if err != nil { | ||
| return admission.Errored(http.StatusBadRequest, err) | ||
| } | ||
| srAnnotations = clusterServingRuntime.ObjectMeta.Annotations | ||
| } | ||
|
|
||
| if err := validateServingRuntimeAutoscaler(srAnnotations); err != nil { | ||
| return admission.Denied(err.Error()) | ||
| } | ||
|
|
||
| if err := validateAutoscalerTargetUtilizationPercentage(srAnnotations); err != nil { | ||
| return admission.Denied(err.Error()) | ||
| } | ||
|
|
||
| if err := validateAutoScalingReplicas(srAnnotations); err != nil { | ||
| return admission.Denied(err.Error()) | ||
| } | ||
|
|
||
| return admission.Allowed("Passed all validation checks for ServingRuntime") | ||
| } | ||
|
|
||
| // InjectDecoder injects the decoder. | ||
| func (s *ServingRuntimeWebhook) InjectDecoder(d *admission.Decoder) error { | ||
| s.decoder = d | ||
| return nil | ||
| } | ||
|
|
||
| // Validation of servingruntime autoscaler class | ||
| func validateServingRuntimeAutoscaler(annotations map[string]string) error { | ||
| value, ok := annotations[constants.AutoscalerClass] | ||
| class := constants.AutoscalerClassType(value) | ||
| if ok { | ||
| for _, item := range constants.AutoscalerAllowedClassList { | ||
| if class == item { | ||
| switch class { | ||
| case constants.AutoscalerClassHPA: | ||
| if metric, ok := annotations[constants.AutoscalerMetrics]; ok { | ||
| return validateHPAMetrics(constants.AutoscalerMetricsType(metric)) | ||
| } else { | ||
| return nil | ||
| } | ||
| default: | ||
| return fmt.Errorf("unknown autoscaler class [%s]", class) | ||
| } | ||
| } | ||
| } | ||
| return fmt.Errorf("[%s] is not a supported autoscaler class type.\n", value) | ||
| } | ||
|
|
||
| return nil | ||
| } | ||
|
|
||
| // Validate of autoscaler targetUtilizationPercentage | ||
| func validateAutoscalerTargetUtilizationPercentage(annotations map[string]string) error { | ||
| if value, ok := annotations[constants.TargetUtilizationPercentage]; ok { | ||
| t, err := strconv.Atoi(value) | ||
| if err != nil { | ||
| return fmt.Errorf("The target utilization percentage should be a [1-100] integer.") | ||
| } else { | ||
| if t < 1 || t > 100 { | ||
| return fmt.Errorf("The target utilization percentage should be a [1-100] integer.") | ||
| } | ||
| } | ||
| } | ||
|
|
||
| return nil | ||
| } | ||
|
|
||
| // Validate scaling options | ||
| func validateAutoScalingReplicas(annotations map[string]string) error { | ||
| autoscalerClassType := autoscaler.AutoscalerClassNone | ||
| if value, ok := annotations[constants.AutoscalerClass]; ok { | ||
| autoscalerClassType = value | ||
| } | ||
|
|
||
| switch autoscalerClassType { | ||
| case string(constants.AutoscalerClassHPA): | ||
| return validateScalingHPA(annotations) | ||
| default: | ||
| return nil | ||
| } | ||
| } | ||
|
|
||
| func validateScalingHPA(annotations map[string]string) error { | ||
| metric := constants.AutoScalerMetricsCPU | ||
| if value, ok := annotations[constants.AutoscalerMetrics]; ok { | ||
| metric = constants.AutoscalerMetricsType(value) | ||
| } | ||
|
|
||
| minReplicas := 1 | ||
| if value, ok := annotations[constants.MinScaleAnnotationKey]; ok { | ||
| if valueInt, err := strconv.Atoi(value); err != nil { | ||
| return fmt.Errorf("The min replicas should be a integer.") | ||
| } else if valueInt < 1 { | ||
| return fmt.Errorf("The min replicas should be more than 0") | ||
| } else { | ||
| minReplicas = valueInt | ||
| } | ||
| } | ||
|
|
||
| maxReplicas := 1 | ||
| if value, ok := annotations[constants.MaxScaleAnnotationKey]; ok { | ||
| if valueInt, err := strconv.Atoi(value); err != nil { | ||
| return fmt.Errorf("The max replicas should be a integer.") | ||
| } else { | ||
| maxReplicas = valueInt | ||
| } | ||
| } | ||
|
|
||
| if minReplicas > maxReplicas { | ||
| return fmt.Errorf("The max replicas should be same or bigger than min replicas.") | ||
| } | ||
|
|
||
| err := validateHPAMetrics(metric) | ||
| if err != nil { | ||
| return err | ||
| } | ||
|
|
||
| if value, ok := annotations[constants.TargetUtilizationPercentage]; ok { | ||
| t, err := strconv.Atoi(value) | ||
| if err != nil { | ||
| return fmt.Errorf("The target utilization percentage should be a [1-100] integer.") | ||
| } else if metric == constants.AutoScalerMetricsMemory && t < 1 { | ||
| return fmt.Errorf("The target memory should be greater than 1 MiB") | ||
| } | ||
| } | ||
|
|
||
| return nil | ||
| } | ||
|
|
||
| // Validate of autoscaler HPA metrics | ||
| func validateHPAMetrics(metric constants.AutoscalerMetricsType) error { | ||
| for _, item := range constants.AutoscalerAllowedMetricsList { | ||
| if item == metric { | ||
| return nil | ||
| } | ||
| } | ||
| return fmt.Errorf("[%s] is not a supported metric.\n", metric) | ||
|
|
||
| } |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,100 @@ | ||
| /* | ||
| Copyright 2021 IBM Corporation | ||
| 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. | ||
| */ | ||
| package v1alpha1 | ||
|
|
||
| import ( | ||
| // "fmt" | ||
| "testing" | ||
|
|
||
| "github.com/onsi/gomega" | ||
| metav1 "k8s.io/apimachinery/pkg/apis/meta/v1" | ||
|
|
||
| kservev1alpha "github.com/kserve/kserve/pkg/apis/serving/v1alpha1" | ||
| "github.com/kserve/kserve/pkg/constants" | ||
| ) | ||
|
|
||
| func makeTestRawServingRuntime() kservev1alpha.ServingRuntime { | ||
| servingRuntime := kservev1alpha.ServingRuntime{ | ||
| ObjectMeta: metav1.ObjectMeta{ | ||
| Name: "foo", | ||
| Namespace: "default", | ||
| Annotations: map[string]string{ | ||
| "serving.kserve.io/autoscalerClass": "hpa", | ||
| "serving.kserve.io/metrics": "cpu", | ||
| "serving.kserve.io/targetUtilizationPercentage": "75", | ||
| "autoscaling.knative.dev/min-scale": "2", | ||
| "autoscaling.knative.dev/max-scale": "3", | ||
| }, | ||
| }, | ||
| } | ||
|
|
||
| return servingRuntime | ||
| } | ||
|
|
||
| func TestValidAutoscalerTypeAndHPAMetrics(t *testing.T) { | ||
| g := gomega.NewGomegaWithT(t) | ||
| sr := makeTestRawServingRuntime() | ||
| g.Expect(validateServingRuntimeAutoscaler(sr.Annotations)).Should(gomega.Succeed()) | ||
| } | ||
| func TestInvalidAutoscalerClassType(t *testing.T) { | ||
| g := gomega.NewGomegaWithT(t) | ||
| sr := makeTestRawServingRuntime() | ||
| sr.ObjectMeta.Annotations[constants.AutoscalerClass] = "test" | ||
| g.Expect(validateServingRuntimeAutoscaler(sr.Annotations)).ShouldNot(gomega.Succeed()) | ||
| } | ||
|
|
||
| func TestInvalidAutoscalerTargetUtilizationPercentageLowValue(t *testing.T) { | ||
| g := gomega.NewGomegaWithT(t) | ||
| sr := makeTestRawServingRuntime() | ||
| sr.ObjectMeta.Annotations[constants.TargetUtilizationPercentage] = "-1" | ||
| g.Expect(validateAutoscalerTargetUtilizationPercentage(sr.Annotations)).ShouldNot(gomega.Succeed()) | ||
| } | ||
|
|
||
| func TestInvalidAutoscalerTargetUtilizationPercentageHighValue(t *testing.T) { | ||
| g := gomega.NewGomegaWithT(t) | ||
| sr := makeTestRawServingRuntime() | ||
| sr.ObjectMeta.Annotations[constants.TargetUtilizationPercentage] = "101" | ||
| g.Expect(validateAutoscalerTargetUtilizationPercentage(sr.Annotations)).ShouldNot(gomega.Succeed()) | ||
| } | ||
|
|
||
| func TestInvalidAutoscalerLowMinReplicas(t *testing.T) { | ||
| g := gomega.NewGomegaWithT(t) | ||
| sr := makeTestRawServingRuntime() | ||
| sr.ObjectMeta.Annotations[constants.MinScaleAnnotationKey] = "0" | ||
| g.Expect(validateScalingHPA(sr.Annotations)).ShouldNot(gomega.Succeed()) | ||
| } | ||
|
|
||
| func TestInvalidAutoscalerMaxReplicasMustBiggerThanMixReplicas(t *testing.T) { | ||
| g := gomega.NewGomegaWithT(t) | ||
| sr := makeTestRawServingRuntime() | ||
| sr.ObjectMeta.Annotations[constants.MinScaleAnnotationKey] = "4" | ||
| sr.ObjectMeta.Annotations[constants.MaxScaleAnnotationKey] = "3" | ||
| g.Expect(validateAutoScalingReplicas(sr.Annotations)).ShouldNot(gomega.Succeed()) | ||
| } | ||
|
|
||
| func TestValidAutoscalerMetricsType(t *testing.T) { | ||
| g := gomega.NewGomegaWithT(t) | ||
| sr := makeTestRawServingRuntime() | ||
| sr.ObjectMeta.Annotations[constants.AutoscalerMetrics] = "memory" | ||
| g.Expect(validateHPAMetrics(constants.AutoscalerMetricsType("memory"))).Should(gomega.Succeed()) | ||
| } | ||
|
|
||
| func TestInvalidAutoscalerMetricsType(t *testing.T) { | ||
| g := gomega.NewGomegaWithT(t) | ||
| sr := makeTestRawServingRuntime() | ||
| sr.ObjectMeta.Annotations[constants.AutoscalerMetrics] = "conccurrency" | ||
| g.Expect(validateHPAMetrics(constants.AutoscalerMetricsType("conccurrency"))).ShouldNot(gomega.Succeed()) | ||
| } |
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