Files
k8sgpt/pkg/analyzer/hpaAnalyzer_test.go
Naveen Thangaraj 91fb2126bc feat: getting the error from status field for HPA analyzer (#1164)
* getting the error from status field for hpa analyzer

Signed-off-by: naveenthangaraj03 <tnaveen3402@gmail.com>

* Signed-off

Signed-off-by: naveenthangaraj03 <tnaveen3402@gmail.com>

* Updated the hpaAnalyzer_test.go

Signed-off-by: naveenthangaraj03 <tnaveen3402@gmail.com>

* Updated hpa_test.go

Signed-off-by: naveenthangaraj03 <tnaveen3402@gmail.com>

* Updated the hpa

Signed-off-by: naveenthangaraj03 <tnaveen3402@gmail.com>

* Updated the Conflicts

Signed-off-by: naveenthangaraj03 <tnaveen3402@gmail.com>

* Resolved all the conflicts

Signed-off-by: naveenthangaraj03 <tnaveen3402@gmail.com>

* Updated the test case

Signed-off-by: naveenthangaraj03 <tnaveen3402@gmail.com>

---------

Signed-off-by: naveenthangaraj03 <tnaveen3402@gmail.com>
Co-authored-by: Alex Jones <alexsimonjones@gmail.com>
Co-authored-by: Matthis <matthish29@gmail.com>
Signed-off-by: AlexsJones <alexsimonjones@gmail.com>
2024-10-24 07:27:47 +01:00

742 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)
}