mirror of
https://github.com/k8sgpt-ai/k8sgpt.git
synced 2025-06-26 15:34:03 +00:00
* feat: reverting the cncf runners Signed-off-by: AlexsJones <alexsimonjones@gmail.com> * feat: creating a dump file for debugging Signed-off-by: AlexsJones <alexsimonjones@gmail.com> * chore: ran the linter Signed-off-by: AlexsJones <alexsimonjones@gmail.com> * chore: updated Signed-off-by: AlexsJones <alexsimonjones@gmail.com> * chore: updated Signed-off-by: AlexsJones <alexsimonjones@gmail.com> * chore: improved the function readme Signed-off-by: AlexsJones <alexsimonjones@gmail.com> * feat: added k8sgpt version info Signed-off-by: AlexsJones <alexsimonjones@gmail.com> * feat: added k8sgpt version info Signed-off-by: AlexsJones <alexsimonjones@gmail.com> * chore: added additional command Signed-off-by: AlexsJones <alexsimonjones@gmail.com> --------- Signed-off-by: AlexsJones <alexsimonjones@gmail.com>
738 lines
18 KiB
Go
738 lines
18 KiB
Go
/*
|
|
Copyright 2023 The K8sGPT 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.
|
|
*/
|
|
|
|
package analyzer
|
|
|
|
import (
|
|
"context"
|
|
"strings"
|
|
"testing"
|
|
|
|
"github.com/k8sgpt-ai/k8sgpt/pkg/common"
|
|
"github.com/k8sgpt-ai/k8sgpt/pkg/kubernetes"
|
|
"github.com/magiconair/properties/assert"
|
|
appsv1 "k8s.io/api/apps/v1"
|
|
autoscalingv2 "k8s.io/api/autoscaling/v2"
|
|
corev1 "k8s.io/api/core/v1"
|
|
"k8s.io/apimachinery/pkg/api/resource"
|
|
metav1 "k8s.io/apimachinery/pkg/apis/meta/v1"
|
|
"k8s.io/client-go/kubernetes/fake"
|
|
)
|
|
|
|
func TestHPAAnalyzer(t *testing.T) {
|
|
clientset := fake.NewSimpleClientset(
|
|
&autoscalingv2.HorizontalPodAutoscaler{
|
|
ObjectMeta: metav1.ObjectMeta{
|
|
Name: "example",
|
|
Namespace: "default",
|
|
Annotations: map[string]string{},
|
|
},
|
|
})
|
|
hpaAnalyzer := HpaAnalyzer{}
|
|
config := common.Analyzer{
|
|
Client: &kubernetes.Client{
|
|
Client: clientset,
|
|
},
|
|
Context: context.Background(),
|
|
Namespace: "default",
|
|
}
|
|
analysisResults, err := hpaAnalyzer.Analyze(config)
|
|
if err != nil {
|
|
t.Error(err)
|
|
}
|
|
assert.Equal(t, len(analysisResults), 1)
|
|
}
|
|
|
|
func TestHPAAnalyzerWithMultipleHPA(t *testing.T) {
|
|
clientset := fake.NewSimpleClientset(
|
|
&autoscalingv2.HorizontalPodAutoscaler{
|
|
ObjectMeta: metav1.ObjectMeta{
|
|
Name: "example",
|
|
Namespace: "default",
|
|
Annotations: map[string]string{},
|
|
},
|
|
},
|
|
&autoscalingv2.HorizontalPodAutoscaler{
|
|
ObjectMeta: metav1.ObjectMeta{
|
|
Name: "example-2",
|
|
Namespace: "default",
|
|
Annotations: map[string]string{},
|
|
},
|
|
},
|
|
)
|
|
hpaAnalyzer := HpaAnalyzer{}
|
|
config := common.Analyzer{
|
|
Client: &kubernetes.Client{
|
|
Client: clientset,
|
|
},
|
|
Context: context.Background(),
|
|
Namespace: "default",
|
|
}
|
|
analysisResults, err := hpaAnalyzer.Analyze(config)
|
|
if err != nil {
|
|
t.Error(err)
|
|
}
|
|
assert.Equal(t, len(analysisResults), 2)
|
|
}
|
|
|
|
func TestHPAAnalyzerWithUnsuportedScaleTargetRef(t *testing.T) {
|
|
|
|
clientset := fake.NewSimpleClientset(
|
|
&autoscalingv2.HorizontalPodAutoscaler{
|
|
ObjectMeta: metav1.ObjectMeta{
|
|
Name: "example",
|
|
Namespace: "default",
|
|
Annotations: map[string]string{},
|
|
},
|
|
Spec: autoscalingv2.HorizontalPodAutoscalerSpec{
|
|
ScaleTargetRef: autoscalingv2.CrossVersionObjectReference{
|
|
Kind: "unsupported",
|
|
},
|
|
},
|
|
})
|
|
hpaAnalyzer := HpaAnalyzer{}
|
|
|
|
config := common.Analyzer{
|
|
Client: &kubernetes.Client{
|
|
Client: clientset,
|
|
},
|
|
Context: context.Background(),
|
|
Namespace: "default",
|
|
}
|
|
analysisResults, err := hpaAnalyzer.Analyze(config)
|
|
if err != nil {
|
|
t.Error(err)
|
|
}
|
|
|
|
var errorFound bool
|
|
for _, analysis := range analysisResults {
|
|
for _, err := range analysis.Error {
|
|
if strings.Contains(err.Text, "which is not an option.") {
|
|
errorFound = true
|
|
break
|
|
}
|
|
}
|
|
if errorFound {
|
|
break
|
|
}
|
|
}
|
|
if !errorFound {
|
|
t.Error("expected error 'does not possible option.' not found in analysis results")
|
|
}
|
|
}
|
|
|
|
func TestHPAAnalyzerWithNonExistentScaleTargetRef(t *testing.T) {
|
|
|
|
clientset := fake.NewSimpleClientset(
|
|
&autoscalingv2.HorizontalPodAutoscaler{
|
|
ObjectMeta: metav1.ObjectMeta{
|
|
Name: "example",
|
|
Namespace: "default",
|
|
Annotations: map[string]string{},
|
|
},
|
|
Spec: autoscalingv2.HorizontalPodAutoscalerSpec{
|
|
ScaleTargetRef: autoscalingv2.CrossVersionObjectReference{
|
|
Kind: "Deployment",
|
|
Name: "non-existent",
|
|
},
|
|
},
|
|
})
|
|
hpaAnalyzer := HpaAnalyzer{}
|
|
|
|
config := common.Analyzer{
|
|
Client: &kubernetes.Client{
|
|
Client: clientset,
|
|
},
|
|
Context: context.Background(),
|
|
Namespace: "default",
|
|
}
|
|
analysisResults, err := hpaAnalyzer.Analyze(config)
|
|
if err != nil {
|
|
t.Error(err)
|
|
}
|
|
|
|
var errorFound bool
|
|
for _, analysis := range analysisResults {
|
|
for _, err := range analysis.Error {
|
|
if strings.Contains(err.Text, "does not exist.") {
|
|
errorFound = true
|
|
break
|
|
}
|
|
}
|
|
if errorFound {
|
|
break
|
|
}
|
|
}
|
|
if !errorFound {
|
|
t.Error("expected error 'does not exist.' not found in analysis results")
|
|
}
|
|
}
|
|
|
|
func TestHPAAnalyzerWithExistingScaleTargetRefAsDeployment(t *testing.T) {
|
|
|
|
clientset := fake.NewSimpleClientset(
|
|
&autoscalingv2.HorizontalPodAutoscaler{
|
|
ObjectMeta: metav1.ObjectMeta{
|
|
Name: "example",
|
|
Namespace: "default",
|
|
Annotations: map[string]string{},
|
|
},
|
|
Spec: autoscalingv2.HorizontalPodAutoscalerSpec{
|
|
ScaleTargetRef: autoscalingv2.CrossVersionObjectReference{
|
|
Kind: "Deployment",
|
|
Name: "example",
|
|
},
|
|
},
|
|
},
|
|
&appsv1.Deployment{
|
|
ObjectMeta: metav1.ObjectMeta{
|
|
Name: "example",
|
|
Namespace: "default",
|
|
Annotations: map[string]string{},
|
|
},
|
|
Spec: appsv1.DeploymentSpec{
|
|
Template: corev1.PodTemplateSpec{
|
|
Spec: corev1.PodSpec{
|
|
Containers: []corev1.Container{
|
|
{
|
|
Name: "example",
|
|
Image: "nginx",
|
|
Resources: corev1.ResourceRequirements{
|
|
Requests: corev1.ResourceList{
|
|
"cpu": resource.MustParse("100m"),
|
|
"memory": resource.MustParse("128Mi"),
|
|
},
|
|
Limits: corev1.ResourceList{
|
|
"cpu": resource.MustParse("200m"),
|
|
"memory": resource.MustParse("256Mi"),
|
|
},
|
|
},
|
|
},
|
|
},
|
|
},
|
|
},
|
|
},
|
|
},
|
|
)
|
|
hpaAnalyzer := HpaAnalyzer{}
|
|
|
|
config := common.Analyzer{
|
|
Client: &kubernetes.Client{
|
|
Client: clientset,
|
|
},
|
|
Context: context.Background(),
|
|
Namespace: "default",
|
|
}
|
|
analysisResults, err := hpaAnalyzer.Analyze(config)
|
|
if err != nil {
|
|
t.Error(err)
|
|
}
|
|
for _, analysis := range analysisResults {
|
|
assert.Equal(t, len(analysis.Error), 0)
|
|
}
|
|
}
|
|
|
|
func TestHPAAnalyzerWithExistingScaleTargetRefAsReplicationController(t *testing.T) {
|
|
|
|
clientset := fake.NewSimpleClientset(
|
|
&autoscalingv2.HorizontalPodAutoscaler{
|
|
ObjectMeta: metav1.ObjectMeta{
|
|
Name: "example",
|
|
Namespace: "default",
|
|
Annotations: map[string]string{},
|
|
},
|
|
Spec: autoscalingv2.HorizontalPodAutoscalerSpec{
|
|
ScaleTargetRef: autoscalingv2.CrossVersionObjectReference{
|
|
Kind: "ReplicationController",
|
|
Name: "example",
|
|
},
|
|
},
|
|
},
|
|
&corev1.ReplicationController{
|
|
ObjectMeta: metav1.ObjectMeta{
|
|
Name: "example",
|
|
Namespace: "default",
|
|
Annotations: map[string]string{},
|
|
},
|
|
Spec: corev1.ReplicationControllerSpec{
|
|
Template: &corev1.PodTemplateSpec{
|
|
Spec: corev1.PodSpec{
|
|
Containers: []corev1.Container{
|
|
{
|
|
Name: "example",
|
|
Image: "nginx",
|
|
Resources: corev1.ResourceRequirements{
|
|
Requests: corev1.ResourceList{
|
|
"cpu": resource.MustParse("100m"),
|
|
"memory": resource.MustParse("128Mi"),
|
|
},
|
|
Limits: corev1.ResourceList{
|
|
"cpu": resource.MustParse("200m"),
|
|
"memory": resource.MustParse("256Mi"),
|
|
},
|
|
},
|
|
},
|
|
},
|
|
},
|
|
},
|
|
},
|
|
},
|
|
)
|
|
hpaAnalyzer := HpaAnalyzer{}
|
|
|
|
config := common.Analyzer{
|
|
Client: &kubernetes.Client{
|
|
Client: clientset,
|
|
},
|
|
Context: context.Background(),
|
|
Namespace: "default",
|
|
}
|
|
analysisResults, err := hpaAnalyzer.Analyze(config)
|
|
if err != nil {
|
|
t.Error(err)
|
|
}
|
|
for _, analysis := range analysisResults {
|
|
assert.Equal(t, len(analysis.Error), 0)
|
|
}
|
|
}
|
|
|
|
func TestHPAAnalyzerWithExistingScaleTargetRefAsReplicaSet(t *testing.T) {
|
|
|
|
clientset := fake.NewSimpleClientset(
|
|
&autoscalingv2.HorizontalPodAutoscaler{
|
|
ObjectMeta: metav1.ObjectMeta{
|
|
Name: "example",
|
|
Namespace: "default",
|
|
Annotations: map[string]string{},
|
|
},
|
|
Spec: autoscalingv2.HorizontalPodAutoscalerSpec{
|
|
ScaleTargetRef: autoscalingv2.CrossVersionObjectReference{
|
|
Kind: "ReplicaSet",
|
|
Name: "example",
|
|
},
|
|
},
|
|
},
|
|
&appsv1.ReplicaSet{
|
|
ObjectMeta: metav1.ObjectMeta{
|
|
Name: "example",
|
|
Namespace: "default",
|
|
Annotations: map[string]string{},
|
|
},
|
|
Spec: appsv1.ReplicaSetSpec{
|
|
Template: corev1.PodTemplateSpec{
|
|
Spec: corev1.PodSpec{
|
|
Containers: []corev1.Container{
|
|
{
|
|
Name: "example",
|
|
Image: "nginx",
|
|
Resources: corev1.ResourceRequirements{
|
|
Requests: corev1.ResourceList{
|
|
"cpu": resource.MustParse("100m"),
|
|
"memory": resource.MustParse("128Mi"),
|
|
},
|
|
Limits: corev1.ResourceList{
|
|
"cpu": resource.MustParse("200m"),
|
|
"memory": resource.MustParse("256Mi"),
|
|
},
|
|
},
|
|
},
|
|
},
|
|
},
|
|
},
|
|
},
|
|
},
|
|
)
|
|
hpaAnalyzer := HpaAnalyzer{}
|
|
|
|
config := common.Analyzer{
|
|
Client: &kubernetes.Client{
|
|
Client: clientset,
|
|
},
|
|
Context: context.Background(),
|
|
Namespace: "default",
|
|
}
|
|
analysisResults, err := hpaAnalyzer.Analyze(config)
|
|
if err != nil {
|
|
t.Error(err)
|
|
}
|
|
for _, analysis := range analysisResults {
|
|
assert.Equal(t, len(analysis.Error), 0)
|
|
}
|
|
}
|
|
|
|
func TestHPAAnalyzerWithExistingScaleTargetRefAsStatefulSet(t *testing.T) {
|
|
|
|
clientset := fake.NewSimpleClientset(
|
|
&autoscalingv2.HorizontalPodAutoscaler{
|
|
ObjectMeta: metav1.ObjectMeta{
|
|
Name: "example",
|
|
Namespace: "default",
|
|
Annotations: map[string]string{},
|
|
},
|
|
Spec: autoscalingv2.HorizontalPodAutoscalerSpec{
|
|
ScaleTargetRef: autoscalingv2.CrossVersionObjectReference{
|
|
Kind: "StatefulSet",
|
|
Name: "example",
|
|
},
|
|
},
|
|
},
|
|
&appsv1.StatefulSet{
|
|
ObjectMeta: metav1.ObjectMeta{
|
|
Name: "example",
|
|
Namespace: "default",
|
|
Annotations: map[string]string{},
|
|
},
|
|
Spec: appsv1.StatefulSetSpec{
|
|
Template: corev1.PodTemplateSpec{
|
|
Spec: corev1.PodSpec{
|
|
Containers: []corev1.Container{
|
|
{
|
|
Name: "example",
|
|
Image: "nginx",
|
|
Resources: corev1.ResourceRequirements{
|
|
Requests: corev1.ResourceList{
|
|
"cpu": resource.MustParse("100m"),
|
|
"memory": resource.MustParse("128Mi"),
|
|
},
|
|
Limits: corev1.ResourceList{
|
|
"cpu": resource.MustParse("200m"),
|
|
"memory": resource.MustParse("256Mi"),
|
|
},
|
|
},
|
|
},
|
|
},
|
|
},
|
|
},
|
|
},
|
|
},
|
|
)
|
|
hpaAnalyzer := HpaAnalyzer{}
|
|
|
|
config := common.Analyzer{
|
|
Client: &kubernetes.Client{
|
|
Client: clientset,
|
|
},
|
|
Context: context.Background(),
|
|
Namespace: "default",
|
|
}
|
|
analysisResults, err := hpaAnalyzer.Analyze(config)
|
|
if err != nil {
|
|
t.Error(err)
|
|
}
|
|
for _, analysis := range analysisResults {
|
|
assert.Equal(t, len(analysis.Error), 0)
|
|
}
|
|
}
|
|
|
|
func TestHPAAnalyzerWithExistingScaleTargetRefWithoutSpecifyingResources(t *testing.T) {
|
|
|
|
clientset := fake.NewSimpleClientset(
|
|
&autoscalingv2.HorizontalPodAutoscaler{
|
|
ObjectMeta: metav1.ObjectMeta{
|
|
Name: "example",
|
|
Namespace: "default",
|
|
Annotations: map[string]string{},
|
|
},
|
|
Spec: autoscalingv2.HorizontalPodAutoscalerSpec{
|
|
ScaleTargetRef: autoscalingv2.CrossVersionObjectReference{
|
|
Kind: "Deployment",
|
|
Name: "example",
|
|
},
|
|
},
|
|
},
|
|
&appsv1.Deployment{
|
|
ObjectMeta: metav1.ObjectMeta{
|
|
Name: "example",
|
|
Namespace: "default",
|
|
Annotations: map[string]string{},
|
|
},
|
|
Spec: appsv1.DeploymentSpec{
|
|
Template: corev1.PodTemplateSpec{
|
|
Spec: corev1.PodSpec{
|
|
Containers: []corev1.Container{
|
|
{
|
|
Name: "example",
|
|
Image: "nginx",
|
|
},
|
|
},
|
|
},
|
|
},
|
|
},
|
|
},
|
|
)
|
|
hpaAnalyzer := HpaAnalyzer{}
|
|
|
|
config := common.Analyzer{
|
|
Client: &kubernetes.Client{
|
|
Client: clientset,
|
|
},
|
|
Context: context.Background(),
|
|
Namespace: "default",
|
|
}
|
|
analysisResults, err := hpaAnalyzer.Analyze(config)
|
|
if err != nil {
|
|
t.Error(err)
|
|
}
|
|
|
|
var errorFound bool
|
|
for _, analysis := range analysisResults {
|
|
for _, err := range analysis.Error {
|
|
if strings.Contains(err.Text, "does not have resource configured.") {
|
|
errorFound = true
|
|
break
|
|
}
|
|
if errorFound {
|
|
break
|
|
}
|
|
}
|
|
if !errorFound {
|
|
t.Error("expected error 'does not have resource configured.' not found in analysis results")
|
|
}
|
|
}
|
|
}
|
|
|
|
func TestHPAAnalyzerNamespaceFiltering(t *testing.T) {
|
|
clientset := fake.NewSimpleClientset(
|
|
&autoscalingv2.HorizontalPodAutoscaler{
|
|
ObjectMeta: metav1.ObjectMeta{
|
|
Name: "example",
|
|
Namespace: "default",
|
|
Annotations: map[string]string{},
|
|
},
|
|
},
|
|
&autoscalingv2.HorizontalPodAutoscaler{
|
|
ObjectMeta: metav1.ObjectMeta{
|
|
Name: "example",
|
|
Namespace: "other-namespace",
|
|
Annotations: map[string]string{},
|
|
},
|
|
})
|
|
hpaAnalyzer := HpaAnalyzer{}
|
|
config := common.Analyzer{
|
|
Client: &kubernetes.Client{
|
|
Client: clientset,
|
|
},
|
|
Context: context.Background(),
|
|
Namespace: "default",
|
|
}
|
|
analysisResults, err := hpaAnalyzer.Analyze(config)
|
|
if err != nil {
|
|
t.Error(err)
|
|
}
|
|
assert.Equal(t, len(analysisResults), 1)
|
|
}
|
|
|
|
func TestHPAAnalyzerLabelSelectorFiltering(t *testing.T) {
|
|
clientset := fake.NewSimpleClientset(
|
|
&autoscalingv2.HorizontalPodAutoscaler{
|
|
ObjectMeta: metav1.ObjectMeta{
|
|
Name: "example",
|
|
Namespace: "default",
|
|
Labels: map[string]string{
|
|
"app": "hpa",
|
|
},
|
|
},
|
|
},
|
|
&autoscalingv2.HorizontalPodAutoscaler{
|
|
ObjectMeta: metav1.ObjectMeta{
|
|
Name: "example2",
|
|
Namespace: "default",
|
|
},
|
|
},
|
|
)
|
|
hpaAnalyzer := HpaAnalyzer{}
|
|
config := common.Analyzer{
|
|
Client: &kubernetes.Client{
|
|
Client: clientset,
|
|
},
|
|
Context: context.Background(),
|
|
Namespace: "default",
|
|
LabelSelector: "app=hpa",
|
|
}
|
|
analysisResults, err := hpaAnalyzer.Analyze(config)
|
|
if err != nil {
|
|
t.Error(err)
|
|
}
|
|
assert.Equal(t, len(analysisResults), 1)
|
|
}
|
|
|
|
func TestHPAAnalyzerStatusFieldAbleToScale(t *testing.T) {
|
|
clientset := fake.NewSimpleClientset(
|
|
&autoscalingv2.HorizontalPodAutoscaler{
|
|
ObjectMeta: metav1.ObjectMeta{
|
|
Name: "example",
|
|
Namespace: "default",
|
|
Annotations: map[string]string{},
|
|
},
|
|
Spec: autoscalingv2.HorizontalPodAutoscalerSpec{
|
|
ScaleTargetRef: autoscalingv2.CrossVersionObjectReference{
|
|
Kind: "Deployment",
|
|
Name: "example",
|
|
},
|
|
},
|
|
Status: autoscalingv2.HorizontalPodAutoscalerStatus{
|
|
Conditions: []autoscalingv2.HorizontalPodAutoscalerCondition{
|
|
{
|
|
Type: "AbleToScale",
|
|
Status: "False",
|
|
Message: "test reason",
|
|
},
|
|
},
|
|
},
|
|
})
|
|
hpaAnalyzer := HpaAnalyzer{}
|
|
config := common.Analyzer{
|
|
Client: &kubernetes.Client{
|
|
Client: clientset,
|
|
},
|
|
Context: context.Background(),
|
|
Namespace: "default",
|
|
}
|
|
analysisResults, err := hpaAnalyzer.Analyze(config)
|
|
if err != nil {
|
|
t.Error(err)
|
|
}
|
|
assert.Equal(t, len(analysisResults), 1)
|
|
|
|
}
|
|
|
|
func TestHPAAnalyzerStatusFieldScalingActive(t *testing.T) {
|
|
clientset := fake.NewSimpleClientset(
|
|
&autoscalingv2.HorizontalPodAutoscaler{
|
|
ObjectMeta: metav1.ObjectMeta{
|
|
Name: "example",
|
|
Namespace: "default",
|
|
Annotations: map[string]string{},
|
|
},
|
|
Spec: autoscalingv2.HorizontalPodAutoscalerSpec{
|
|
ScaleTargetRef: autoscalingv2.CrossVersionObjectReference{
|
|
Kind: "Deployment",
|
|
Name: "example",
|
|
},
|
|
},
|
|
Status: autoscalingv2.HorizontalPodAutoscalerStatus{
|
|
Conditions: []autoscalingv2.HorizontalPodAutoscalerCondition{
|
|
{
|
|
Type: autoscalingv2.ScalingActive,
|
|
Status: "False",
|
|
Message: "test reason",
|
|
},
|
|
},
|
|
},
|
|
})
|
|
hpaAnalyzer := HpaAnalyzer{}
|
|
config := common.Analyzer{
|
|
Client: &kubernetes.Client{
|
|
Client: clientset,
|
|
},
|
|
Context: context.Background(),
|
|
Namespace: "default",
|
|
}
|
|
analysisResults, err := hpaAnalyzer.Analyze(config)
|
|
if err != nil {
|
|
t.Error(err)
|
|
}
|
|
assert.Equal(t, len(analysisResults), 1)
|
|
|
|
}
|
|
|
|
func TestHPAAnalyzerStatusFieldScalingLimited(t *testing.T) {
|
|
clientset := fake.NewSimpleClientset(
|
|
&autoscalingv2.HorizontalPodAutoscaler{
|
|
ObjectMeta: metav1.ObjectMeta{
|
|
Name: "example",
|
|
Namespace: "default",
|
|
Annotations: map[string]string{},
|
|
},
|
|
Spec: autoscalingv2.HorizontalPodAutoscalerSpec{
|
|
ScaleTargetRef: autoscalingv2.CrossVersionObjectReference{
|
|
Kind: "Deployment",
|
|
Name: "example",
|
|
},
|
|
},
|
|
Status: autoscalingv2.HorizontalPodAutoscalerStatus{
|
|
Conditions: []autoscalingv2.HorizontalPodAutoscalerCondition{
|
|
{
|
|
Type: autoscalingv2.ScalingLimited,
|
|
Status: "False",
|
|
Message: "test reason",
|
|
},
|
|
},
|
|
},
|
|
})
|
|
hpaAnalyzer := HpaAnalyzer{}
|
|
config := common.Analyzer{
|
|
Client: &kubernetes.Client{
|
|
Client: clientset,
|
|
},
|
|
Context: context.Background(),
|
|
Namespace: "default",
|
|
}
|
|
analysisResults, err := hpaAnalyzer.Analyze(config)
|
|
if err != nil {
|
|
t.Error(err)
|
|
}
|
|
assert.Equal(t, len(analysisResults), 1)
|
|
|
|
}
|
|
|
|
func TestHPAAnalyzerStatusField(t *testing.T) {
|
|
clientset := fake.NewSimpleClientset(
|
|
&autoscalingv2.HorizontalPodAutoscaler{
|
|
ObjectMeta: metav1.ObjectMeta{
|
|
Name: "example",
|
|
Namespace: "default",
|
|
Annotations: map[string]string{},
|
|
},
|
|
Spec: autoscalingv2.HorizontalPodAutoscalerSpec{
|
|
ScaleTargetRef: autoscalingv2.CrossVersionObjectReference{
|
|
Kind: "Deployment",
|
|
Name: "example",
|
|
},
|
|
},
|
|
Status: autoscalingv2.HorizontalPodAutoscalerStatus{
|
|
Conditions: []autoscalingv2.HorizontalPodAutoscalerCondition{
|
|
{
|
|
Type: autoscalingv2.AbleToScale,
|
|
Status: "True",
|
|
Message: "recommended size matches current size",
|
|
},
|
|
{
|
|
Type: autoscalingv2.ScalingActive,
|
|
Status: "True",
|
|
Message: "the HPA was able to successfully calculate a replica count",
|
|
},
|
|
{
|
|
Type: autoscalingv2.ScalingLimited,
|
|
Status: "True",
|
|
Message: "the desired replica count is less than the minimum replica count",
|
|
},
|
|
},
|
|
},
|
|
})
|
|
hpaAnalyzer := HpaAnalyzer{}
|
|
config := common.Analyzer{
|
|
Client: &kubernetes.Client{
|
|
Client: clientset,
|
|
},
|
|
Context: context.Background(),
|
|
Namespace: "default",
|
|
}
|
|
analysisResults, err := hpaAnalyzer.Analyze(config)
|
|
if err != nil {
|
|
t.Error(err)
|
|
}
|
|
assert.Equal(t, len(analysisResults), 1)
|
|
|
|
}
|