fix: only emit keda fallback when a non-cpu/memory trigger exists
Keda 2.17+ rejects ScaledObjects whose spec.fallback is set unless at least one trigger is not a cpu or memory scaler, so unconditionally emitting fallback broke deploys for apps autoscaled on cpu or memory alone. The chart now skips the fallback block when every configured trigger is cpu or memory and keeps the existing behavior otherwise.
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@@ -52,6 +52,66 @@ teardown() {
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assert_output "5000"
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}
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@test "(scheduler-k3s) deploy autoscaling cpu-only trigger [keda-fallback]" {
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if [[ -z "$DOCKERHUB_USERNAME" ]] || [[ -z "$DOCKERHUB_TOKEN" ]]; then
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skip "skipping due to missing docker.io credentials DOCKERHUB_USERNAME:DOCKERHUB_TOKEN"
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fi
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INGRESS_CLASS=nginx install_k3s
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run /bin/bash -c "dokku apps:create $TEST_APP"
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echo "output: $output"
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echo "status: $status"
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assert_success
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run deploy_app python dokku@$DOKKU_DOMAIN:$TEST_APP inject_cpu_autoscaling_app_json
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echo "output: $output"
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echo "status: $status"
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assert_success
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run /bin/bash -c "kubectl get scaledobjects.keda.sh $TEST_APP-web -o=jsonpath='{.spec.fallback}'"
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echo "output: $output"
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echo "status: $status"
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assert_success
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assert_output ""
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run /bin/bash -c "kubectl get scaledobjects.keda.sh $TEST_APP-web -o=jsonpath='{.spec.triggers[0].type}'"
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echo "output: $output"
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echo "status: $status"
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assert_success
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assert_output "cpu"
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}
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@test "(scheduler-k3s) deploy autoscaling external trigger [keda-fallback]" {
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if [[ -z "$DOCKERHUB_USERNAME" ]] || [[ -z "$DOCKERHUB_TOKEN" ]]; then
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skip "skipping due to missing docker.io credentials DOCKERHUB_USERNAME:DOCKERHUB_TOKEN"
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fi
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INGRESS_CLASS=nginx install_k3s
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run /bin/bash -c "dokku apps:create $TEST_APP"
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echo "output: $output"
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echo "status: $status"
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assert_success
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run deploy_app python dokku@$DOKKU_DOMAIN:$TEST_APP inject_prometheus_autoscaling_app_json
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echo "output: $output"
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echo "status: $status"
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assert_success
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run /bin/bash -c "kubectl get scaledobjects.keda.sh $TEST_APP-web -o=jsonpath='{.spec.fallback.failureThreshold}'"
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echo "output: $output"
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echo "status: $status"
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assert_success
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assert_output "3"
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run /bin/bash -c "kubectl get scaledobjects.keda.sh $TEST_APP-web -o=jsonpath='{.spec.fallback.replicas}'"
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echo "output: $output"
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echo "status: $status"
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assert_success
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assert_output "1"
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}
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inject_app_json() {
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local APP="$1"
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local APP_REPO_DIR="$2"
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@@ -68,3 +128,60 @@ inject_app_json() {
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}
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EOF
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}
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inject_cpu_autoscaling_app_json() {
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local APP="$1"
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local APP_REPO_DIR="$2"
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[[ -z "$APP" ]] && local APP="$TEST_APP"
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cat <<EOF >"$APP_REPO_DIR/app.json"
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{
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"formation": {
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"web": {
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"autoscaling": {
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"min_quantity": 1,
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"max_quantity": 3,
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"triggers": [
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{
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"name": "cpu-trigger",
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"type": "cpu",
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"metadata": {
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"value": "80"
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}
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}
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]
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}
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}
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}
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}
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EOF
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}
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inject_prometheus_autoscaling_app_json() {
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local APP="$1"
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local APP_REPO_DIR="$2"
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[[ -z "$APP" ]] && local APP="$TEST_APP"
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cat <<EOF >"$APP_REPO_DIR/app.json"
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{
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"formation": {
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"web": {
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"autoscaling": {
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"min_quantity": 1,
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"max_quantity": 3,
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"triggers": [
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{
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"name": "prom-trigger",
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"type": "prometheus",
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"metadata": {
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"serverAddress": "http://prometheus.example.com:9090",
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"metricName": "http_requests_total",
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"threshold": "100",
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"query": "sum(rate(http_requests_total{deployment=\"[[ .DEPLOYMENT_NAME ]]\"}[2m]))"
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}
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}
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]
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}
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}
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}
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}
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EOF
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}
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