ODH Release 1.9 for operator v2.1.0 (#465)

* ODH Release 1.9 for operator v2.1.0 * Update defaults for DataScienceCluster CR example
opendatahub-io · Aug 23, 2023 · fdf754e · fdf754e
1 parent 1cfa3a7
commit fdf754e
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Showing 6 changed files with 133 additions and 28 deletions.
diff --git a/Dockerfiles/Dockerfile b/Dockerfiles/Dockerfile
@@ -4,7 +4,7 @@ ARG GOLANG_VERSION=1.18.9
 FROM registry.access.redhat.com/ubi8/go-toolset:$GOLANG_VERSION as builder
 
 ARG MANIFEST_REPO="https://github.com/opendatahub-io/odh-manifests"
-ARG MANIFEST_RELEASE="v1.8"
+ARG MANIFEST_RELEASE="v1.9"
 
 ARG MANIFEST_TARBALL="${MANIFEST_REPO}/tarball/${MANIFEST_RELEASE}"
 

diff --git a/Makefile b/Makefile
@@ -4,7 +4,7 @@
 # - use the VERSION as arg of the bundle target (e.g make bundle VERSION=0.0.2)
 # - use environment variables to overwrite this value (e.g export VERSION=0.0.2)
 IMAGE_OWNER ?= opendatahub
-VERSION ?= 2.0.0
+VERSION ?= 2.1.0
 # IMAGE_TAG_BASE defines the opendatahub.io namespace and part of the image name for remote images.
 # This variable is used to construct full image tags for bundle and catalog images.
 #

diff --git a/bundle/manifests/opendatahub-operator.clusterserviceversion.yaml b/bundle/manifests/opendatahub-operator.clusterserviceversion.yaml
diff --git a/config/manifests/bases/opendatahub-operator.clusterserviceversion.yaml b/config/manifests/bases/opendatahub-operator.clusterserviceversion.yaml
@@ -3,11 +3,52 @@ kind: ClusterServiceVersion
 metadata:
   annotations:
     alm-examples: '[]'
-    capabilities: Basic Install
+    capabilities: Full Lifecycle
+    categories: AI/Machine Learning, Big Data
+    certified: "False"
+    containerImage: quay.io/opendatahub/opendatahub-operator:v2.1.0
+    createdAt: "2023-8-23T00:00:00Z"
     olm.skipRange: '>=1.0.0 <2.0.0'
-    operatorframework.io/initialization-resource: "{ \n  \"apiVersion\": \"datasciencecluster.opendatahub.io/v1alpha1\",\n
-      \ \"kind\": \"DataScienceCluster\", \n  \"metadata\":{ \n    \"name\": \"default\"\n
-      \ },\n  \"spec\": {}\n}"
+    operatorframework.io/initialization-resource: |-
+      {
+        "apiVersion": "datasciencecluster.opendatahub.io/v1alpha1",
+        "kind": "DataScienceCluster",
+        "metadata": {
+          "name": "default",
+          "labels": {
+            "app.kubernetes.io/name": "datasciencecluster",
+            "app.kubernetes.io/instance": "default",
+            "app.kubernetes.io/part-of": "opendatahub-operator",
+            "app.kubernetes.io/managed-by": "kustomize",
+            "app.kubernetes.io/created-by": "opendatahub-operator"
+          }
+        },
+        "spec": {
+          "components": {
+            "codeflare": {
+              "enabled": false
+            },
+            "dashboard": {
+              "enabled": true
+            },
+            "datasciencepipelines": {
+              "enabled": true
+            },
+            "kserve": {
+              "enabled": false
+            },
+            "modelmeshserving": {
+              "enabled": true
+            },
+            "ray": {
+              "enabled": false
+            },
+            "workbenches": {
+              "enabled": true
+            }
+          }
+        }
+      }
     operators.operatorframework.io/internal-objects: '[dscinitialization.opendatahub.io]'
     repository: https://github.com/opendatahub-io/opendatahub-operator
   name: opendatahub-operator.v0.0.0
@@ -76,9 +117,18 @@ spec:
   - kserve
   - distributed-workloads
   links:
-  - name: Opendatahub Operator
-    url: https://opendatahub.io/
+  - name: Open Data Hub
+    url: https://opendatahub.io
+  - name: Open Data Hub Community
+    url: https://github.com/opendatahub-io/opendatahub-community
+  maintainers:
+  - email: opendatahub@redhat.com
+    name: Open Data Hub Maintainers
   maturity: alpha
+  minKubeVersion: 1.22.0
   provider:
     name: ODH
+  selector:
+    matchLabels:
+      component: opendatahub-operator
   version: 0.0.1
diff --git a/config/manifests/description-patch.yml b/config/manifests/description-patch.yml
@@ -15,5 +15,6 @@ spec:
     * Jupyter Notebooks - JupyterLab notebook that provide Python support for GPU workloads
     * Data Science Pipelines - Pipeline solution for end to end MLOps workflows that support the Kubeflow Pipelines SDK and Tekton
     * Model Mesh - ModelMesh Serving is the Controller for managing ModelMesh, a general-purpose model serving management/routing layer
-    * Distributed Workloads(Incubation) - Stack built to make managing distributed compute infrastructure in the cloud easy and intuitive for Data Scientists
+    * Distributed Workloads(Incubation) - Stack built to make managing distributed compute infrastructure in the cloud easy and intuitive for Data Scientists. This stack consists of two components 
+                                          Codeflare and KubeRay.
     * Kserve (Incubation) - Kserve is the Controller for for serving machine learning (ML) models on arbitrary frameworks
diff --git a/config/samples/datasciencecluster_v1alpha1_datasciencecluster.yaml b/config/samples/datasciencecluster_v1alpha1_datasciencecluster.yaml
@@ -13,14 +13,14 @@ spec:
     codeflare:
       enabled: false
     dashboard:
-      enabled: false
+      enabled: true
     datasciencepipelines:
-      enabled: false
+      enabled: true
     kserve:
       enabled: false
     modelmeshserving:
-      enabled: false
+      enabled: true
     ray:
       enabled: false
     workbenches:
-      enabled: false
+      enabled: true