test: Factorize e2e tests setup

Author: astefanutti

.github/workflows/e2e_tests.yaml

@@ -108,65 +108,14 @@ jobs:
       - name: Deploy CodeFlare stack
         id: deploy
         run: |
-          KUBERAY_VERSION=$(make get-kuberay-version)
-          echo Deploying KubeRay ${KUBERAY_VERSION}
-          kubectl create -k "github.com/ray-project/kuberay/ray-operator/config/default?ref=${KUBERAY_VERSION}&timeout=90s"
-
           echo Deploying CodeFlare operator
           IMG="${REGISTRY_ADDRESS}"/codeflare-operator
           make image-push -e IMG="${IMG}"
           make deploy -e IMG="${IMG}"
           kubectl wait --timeout=120s --for=condition=Available=true deployment -n openshift-operators codeflare-operator-manager
 
-          echo Deploying MCAD controller
-          kubectl create ns codeflare-system
-          cat <<EOF | kubectl apply -n codeflare-system -f -
-          apiVersion: codeflare.codeflare.dev/v1alpha1
-          kind: MCAD
-          metadata:
-            name: mcad
-          spec:
-            controllerResources: {}
-          EOF
-
-          cat <<EOF | kubectl apply -n codeflare-system -f -
-          apiVersion: rbac.authorization.k8s.io/v1
-          kind: ClusterRole
-          metadata:
-            name: mcad-controller-rayclusters
-          rules:
-            - apiGroups:
-                - ray.io
-              resources:
-                - rayclusters
-                - rayclusters/finalizers
-                - rayclusters/status
-              verbs:
-                - get
-                - list
-                - watch
-                - create
-                - update
-                - patch
-                - delete
-          EOF
-
-          cat <<EOF | kubectl apply -n codeflare-system -f -
-          kind: ClusterRoleBinding
-          apiVersion: rbac.authorization.k8s.io/v1
-          metadata:
-            name: mcad-controller-rayclusters
-          subjects:
-            - kind: ServiceAccount
-              name: mcad-controller-mcad
-              namespace: codeflare-system
-          roleRef:
-            apiGroup: rbac.authorization.k8s.io
-            kind: ClusterRole
-            name: mcad-controller-rayclusters
-          EOF
-
-          kubectl wait --timeout=120s --for=condition=Available=true deployment -n codeflare-system mcad-controller-mcad
+          echo Setting up CodeFlare stack
+          make setup-e2e
 
       - name: Run e2e tests
         run: |

Makefile

@@ -422,6 +422,6 @@ test-unit: defaults manifests generate fmt vet envtest ## Run unit tests.
 test-e2e: defaults manifests generate fmt vet ## Run e2e tests.
 	go test -timeout 30m -v ./test/e2e
 
-.PHONY: get-kuberay-version
-get-kuberay-version:
-	@echo $(KUBERAY_VERSION)
+.PHONY: setup-e2e
+setup-e2e: ## Set up e2e tests.
+	KUBERAY_VERSION=$(KUBERAY_VERSION) test/e2e/setup.sh

test/e2e/setup.sh

@@ -0,0 +1,73 @@
+#!/bin/bash
+
+# Copyright 2022 IBM, Red Hat
+#
+# 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.
+
+set -euo pipefail
+: "${KUBERAY_VERSION}"
+
+echo Deploying KubeRay "${KUBERAY_VERSION}"
+kubectl apply --server-side -k "github.com/ray-project/kuberay/ray-operator/config/default?ref=${KUBERAY_VERSION}&timeout=90s"
+
+kubectl create ns codeflare-system --dry-run=client -o yaml | kubectl apply -f -
+
+echo Deploying MCAD controller
+cat <<EOF | kubectl apply -n codeflare-system -f -
+apiVersion: codeflare.codeflare.dev/v1alpha1
+kind: MCAD
+metadata:
+  name: mcad
+spec:
+  controllerResources: {}
+EOF
+
+cat <<EOF | kubectl apply -n codeflare-system -f -
+apiVersion: rbac.authorization.k8s.io/v1
+kind: ClusterRole
+metadata:
+  name: mcad-controller-rayclusters
+rules:
+  - apiGroups:
+      - ray.io
+    resources:
+      - rayclusters
+      - rayclusters/finalizers
+      - rayclusters/status
+    verbs:
+      - get
+      - list
+      - watch
+      - create
+      - update
+      - patch
+      - delete
+EOF
+
+cat <<EOF | kubectl apply -n codeflare-system -f -
+kind: ClusterRoleBinding
+apiVersion: rbac.authorization.k8s.io/v1
+metadata:
+  name: mcad-controller-rayclusters
+subjects:
+  - kind: ServiceAccount
+    name: mcad-controller-mcad
+    namespace: codeflare-system
+roleRef:
+  apiGroup: rbac.authorization.k8s.io
+  kind: ClusterRole
+  name: mcad-controller-rayclusters
+EOF
+
+echo "Waiting for the MCAD deployment to become ready..."
+kubectl wait --timeout=120s --for=condition=Available=true deployment -n codeflare-system mcad-controller-mcad