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Merge pull request #211 from matthisholleville/feature/add-tests-to-hpa-analyzer
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commit
a96d74371f
205
pkg/analyzer/hpaAnalyzer_test.go
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205
pkg/analyzer/hpaAnalyzer_test.go
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package analyzer
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import (
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"context"
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"strings"
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"testing"
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"github.com/k8sgpt-ai/k8sgpt/pkg/kubernetes"
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"github.com/magiconair/properties/assert"
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appsv1 "k8s.io/api/apps/v1"
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autoscalingv1 "k8s.io/api/autoscaling/v1"
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metav1 "k8s.io/apimachinery/pkg/apis/meta/v1"
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"k8s.io/client-go/kubernetes/fake"
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)
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func TestHPAAnalyzer(t *testing.T) {
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clientset := fake.NewSimpleClientset(
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&autoscalingv1.HorizontalPodAutoscaler{
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ObjectMeta: metav1.ObjectMeta{
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Name: "example",
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Namespace: "default",
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Annotations: map[string]string{},
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},
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})
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hpaAnalyzer := HpaAnalyzer{}
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config := Analyzer{
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Client: &kubernetes.Client{
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Client: clientset,
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},
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Context: context.Background(),
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Namespace: "default",
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}
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analysisResults, err := hpaAnalyzer.Analyze(config)
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if err != nil {
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t.Error(err)
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}
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assert.Equal(t, len(analysisResults), 1)
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}
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func TestHPAAnalyzerWithMultipleHPA(t *testing.T) {
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clientset := fake.NewSimpleClientset(
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&autoscalingv1.HorizontalPodAutoscaler{
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ObjectMeta: metav1.ObjectMeta{
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Name: "example",
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Namespace: "default",
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Annotations: map[string]string{},
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},
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},
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&autoscalingv1.HorizontalPodAutoscaler{
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ObjectMeta: metav1.ObjectMeta{
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Name: "example-2",
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Namespace: "default",
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Annotations: map[string]string{},
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},
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},
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)
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hpaAnalyzer := HpaAnalyzer{}
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config := Analyzer{
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Client: &kubernetes.Client{
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Client: clientset,
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},
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Context: context.Background(),
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Namespace: "default",
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}
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analysisResults, err := hpaAnalyzer.Analyze(config)
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if err != nil {
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t.Error(err)
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}
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assert.Equal(t, len(analysisResults), 2)
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}
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func TestHPAAnalyzerWithUnsuportedScaleTargetRef(t *testing.T) {
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clientset := fake.NewSimpleClientset(
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&autoscalingv1.HorizontalPodAutoscaler{
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ObjectMeta: metav1.ObjectMeta{
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Name: "example",
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Namespace: "default",
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Annotations: map[string]string{},
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},
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Spec: autoscalingv1.HorizontalPodAutoscalerSpec{
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ScaleTargetRef: autoscalingv1.CrossVersionObjectReference{
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Kind: "unsupported",
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},
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},
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})
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hpaAnalyzer := HpaAnalyzer{}
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config := Analyzer{
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Client: &kubernetes.Client{
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Client: clientset,
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},
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Context: context.Background(),
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Namespace: "default",
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}
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analysisResults, err := hpaAnalyzer.Analyze(config)
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if err != nil {
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t.Error(err)
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}
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var errorFound bool
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for _, analysis := range analysisResults {
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for _, err := range analysis.Error {
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if strings.Contains(err, "does not possible option.") {
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errorFound = true
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break
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}
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}
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if errorFound {
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break
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}
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}
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if !errorFound {
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t.Error("expected error 'does not possible option.' not found in analysis results")
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}
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}
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func TestHPAAnalyzerWithNonExistentScaleTargetRef(t *testing.T) {
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clientset := fake.NewSimpleClientset(
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&autoscalingv1.HorizontalPodAutoscaler{
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ObjectMeta: metav1.ObjectMeta{
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Name: "example",
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Namespace: "default",
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Annotations: map[string]string{},
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},
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Spec: autoscalingv1.HorizontalPodAutoscalerSpec{
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ScaleTargetRef: autoscalingv1.CrossVersionObjectReference{
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Kind: "Deployment",
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Name: "non-existent",
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},
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},
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})
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hpaAnalyzer := HpaAnalyzer{}
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config := Analyzer{
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Client: &kubernetes.Client{
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Client: clientset,
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},
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Context: context.Background(),
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Namespace: "default",
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}
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analysisResults, err := hpaAnalyzer.Analyze(config)
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if err != nil {
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t.Error(err)
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}
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var errorFound bool
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for _, analysis := range analysisResults {
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for _, err := range analysis.Error {
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if strings.Contains(err, "does not exist.") {
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errorFound = true
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break
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}
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}
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if errorFound {
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break
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}
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}
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if !errorFound {
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t.Error("expected error 'does not exist.' not found in analysis results")
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}
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}
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func TestHPAAnalyzerWithExistingScaleTargetRef(t *testing.T) {
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clientset := fake.NewSimpleClientset(
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&autoscalingv1.HorizontalPodAutoscaler{
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ObjectMeta: metav1.ObjectMeta{
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Name: "example",
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Namespace: "default",
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Annotations: map[string]string{},
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},
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Spec: autoscalingv1.HorizontalPodAutoscalerSpec{
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ScaleTargetRef: autoscalingv1.CrossVersionObjectReference{
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Kind: "Deployment",
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Name: "example",
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},
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},
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},
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&appsv1.Deployment{
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ObjectMeta: metav1.ObjectMeta{
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Name: "example",
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Namespace: "default",
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Annotations: map[string]string{},
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},
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},
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)
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hpaAnalyzer := HpaAnalyzer{}
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config := Analyzer{
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Client: &kubernetes.Client{
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Client: clientset,
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},
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Context: context.Background(),
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Namespace: "default",
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}
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analysisResults, err := hpaAnalyzer.Analyze(config)
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if err != nil {
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t.Error(err)
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}
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for _, analysis := range analysisResults {
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assert.Equal(t, len(analysis.Error), 0)
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}
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}
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