k8sgpt/pkg/analyzer/hpaAnalyzer_test.go
Alex Jones da266b3c82
feat: dump (#1322)
* 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>
2024-11-12 12:04:01 +00:00

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)
}