Merge pull request #59 from red-hat-data-services/update_actual_operator

Update actual operator

CHANGELOG.md

@@ -30,3 +30,7 @@
 * Update ODH operator to reconcile updated objects (#119)
 ### Features
 * Implement initial KfDef status (#113)
+
+## Release 1.0.11 (2021-05-05T19:58:47)
+### Improvements
+* Add community operator release v1.0.10

deploy/olm-catalog/opendatahub/1.0.10/manifests/kfdef.apps.kubeflow.org.crd.yaml

@@ -0,0 +1,44 @@
+apiVersion: apiextensions.k8s.io/v1beta1
+kind: CustomResourceDefinition
+metadata:
+  name: kfdefs.kfdef.apps.kubeflow.org
+  labels:
+    component: opendatahub-operator
+spec:
+  group: kfdef.apps.kubeflow.org
+  names:
+    kind: KfDef
+    listKind: KfDefList
+    plural: kfdefs
+    singular: kfdef
+  scope: Namespaced
+  subresources:
+    status: {}
+  validation:
+    openAPIV3Schema:
+      description: KfDef is the Schema for the kfdefs API
+      properties:
+        apiVersion:
+          description: 'APIVersion defines the versioned schema of this representation
+            of an object. Servers should convert recognized schemas to the latest
+            internal value, and may reject unrecognized values. More info: https://git.k8s.io/community/contributors/devel/api-conventions.md#resources'
+          type: string
+        kind:
+          description: 'Kind is a string value representing the REST resource this
+            object represents. Servers may infer this from the endpoint the client
+            submits requests to. Cannot be updated. In CamelCase. More info: https://git.k8s.io/community/contributors/devel/api-conventions.md#types-kinds'
+          type: string
+        metadata:
+          type: object
+        spec:
+          description: KfDefSpec defines the desired state of KfDef
+          type: object
+        status:
+          description: KfDefStatus defines the observed state of KfDef
+          type: object
+      type: object
+  version: v1
+  versions:
+  - name: v1
+    served: true
+    storage: true

deploy/olm-catalog/opendatahub/1.0.0/manifests/opendatahub-operator.v1.0.0.clusterserviceversion.yaml → deploy/olm-catalog/opendatahub/1.0.10/manifests/opendatahub-operator.v1.0.10.clusterserviceversion.yaml

@@ -2,7 +2,6 @@ apiVersion: operators.coreos.com/v1alpha1
 kind: ClusterServiceVersion
 metadata:
   annotations:
-    operatorframework.io/suggested-namespace: opendatahub
     alm-examples: |-
       [
         {
@@ -196,7 +195,7 @@ metadata:
               },
               {
                 "name": "manifests",
-                "uri": "https://github.com/opendatahub-io/odh-manifests/tarball/v1.0.0"
+                "uri": "https://github.com/opendatahub-io/odh-manifests/tarball/v1.0.10"
               }
             ]
           }
@@ -207,10 +206,10 @@ metadata:
     description: "Open Data Hub Operator for deployment and management of Open Data Hub and Kubeflow on OpenShift"
     support: Open Data Hub
     repository: https://github.com/opendatahub-io/opendatahub-operator
-    createdAt: '2021-01-27T00:00:00Z'
-    containerImage: quay.io/opendatahub/opendatahub-operator:v1.0.0
+    createdAt: '2021-04-25T00:00:00Z'
+    containerImage: quay.io/opendatahub/opendatahub-operator:v1.0.10
     certified: 'False'
-  name: opendatahub-operator.v1.0.0
+  name: opendatahub-operator.v1.0.10
   namespace: placeholder
 spec:
   apiservicedefinitions: {}
@@ -229,11 +228,11 @@ spec:
     projects share some components, but can be mostly seen as an extension of each other to provide a complete solution for both novice and skilled enterprise users.
 
     ### Components
-    * Spark Thrift Server - **NEW** A service that allows JDBC clients run Spark SQL queries.
-    * Hue v4.8.0 - **NEW** A service that provides data exploration on Hive and S3 buckets. 
-    * Open Data Hub Dashboard v0.9  - A web dashboard that displays installed Open Data Hub components with easy access to component UIs and documentation
-    * JupyterHub v0.1.5 - **NEW** spawner User Interface. Open source multi-user notebook platform w/ GPU support. 
-    * Elyra v0.0.5 - JupyterLab notebooks with support for AI workflows
+    * Spark Thrift Server - A service that allows JDBC clients run Spark SQL queries.
+    * Hue v4.8.0 - A service that provides data exploration on Hive and S3 buckets.
+    * Open Data Hub Dashboard v1.0  - A web dashboard that displays installed Open Data Hub components with easy access to component UIs and documentation
+    * JupyterHub v0.2.8 - Open source multi-user notebook platform w/ GPU support.
+    * Elyra v0.0.7 - JupyterLab notebooks with support for AI workflows
     * Ceph Nano v0.7 - Minimal Object Storage provided by Ceph for development use
     * Apache Spark v2.4.5 - Unified analytics engine for large-scale data processing
     * Prometheus v2.16.0 - Monitoring and alerting tool
@@ -242,19 +241,19 @@ spec:
     * Seldon v1.2.0 - Open source platform for deploying machine learning models
     * Argo v2.12.5 - Container-native Workflow Engine
     * Apache Superset v0.30.0 - Open source application for data exploration and visualization
-    * Apache Kafka v2.4.0 - The open source stream processing platform
+    * Apache Kafka v2.7.0 - The open source stream processing platform
     To install one or multiple of these components use the default KfDef provided with the operator.
 
     ### Kubeflow Components
-    ODH 1.0 supports Kubeflow v1.2.0 and some components such as KF Serving and KFP on Tekton from master branch. This will be updated when Kubeflow v1.3.0 is released. To install Kubeflow v1.2.0 components with KFP using Argo please use this example [KfDef](https://raw.githubusercontent.com/kubeflow/manifests/master/kfdef/kfctl_openshift.v1.2.0.yaml). To install KF Serving with KFP on Tekton please use this example [KfDef](https://raw.githubusercontent.com/kubeflow/manifests/master/kfdef/kfctl_openshift.master.kfptekton.yaml)
+    ODH 1.0.10 supports Kubeflow v1.2.0 and some components such as KF Serving and KFP on Tekton from master branch. This will be updated when Kubeflow v1.3.0 is released. To install Kubeflow v1.2.0 components with KFP using Argo please use this example [KfDef](https://raw.githubusercontent.com/kubeflow/manifests/v1.2-branch/kfdef/kfctl_openshift.v1.2.0.yaml). To install KF Serving with KFP on Tekton please use this example [KfDef](https://raw.githubusercontent.com/kubeflow/manifests/v1.3-branch/distributions/kfdef/kfctl_openshift.master.kfptekton.yaml)
 
     ### Available Channels
 
     #### Beta
 
     Channel `beta` offers the latest version of Open Data Hub operator. It is based on Kubeflow Operator and Kustomize for deployment configuration. This version is compatible with [Open Data Hub manifests](https://github.com/opendatahub-io/odh-manifests/) as well as [Kubeflow manifests](https://github.com/opendatahub-io/manifests). This channel will offer new components and features.
 
-    To deploy Kubeflow, use [this example](https://github.com/kubeflow/manifests/blob/master/kfdef/kfctl_openshift.v1.2.0.yaml).
+    To deploy Kubeflow, use [this example](https://raw.githubusercontent.com/kubeflow/manifests/v1.2-branch/kfdef/kfctl_openshift.v1.2.0.yaml).
 
   displayName: Open Data Hub Operator
   icon:
@@ -302,7 +301,7 @@ spec:
                       fieldPath: metadata.name
                 - name: OPERATOR_NAME
                   value: opendatahub-operator
-                image: quay.io/opendatahub/opendatahub-operator:v1.0.0
+                image: quay.io/opendatahub/opendatahub-operator:v1.0.10
                 imagePullPolicy: Always
                 name: opendatahub-operator
                 resources: {}
@@ -317,7 +316,7 @@ spec:
     type: MultiNamespace
   - supported: true
     type: AllNamespaces
-  maturity: beta
+  maturity: stable
   links:
   - name: Open Data Hub
     url: https://opendatahub.io
@@ -338,8 +337,8 @@ spec:
     - OpenShift
     - Open Data Hub
     - opendatahub
-  version: 1.0.0
-  replaces: opendatahub-operator.v0.9.0
+  version: 1.0.10
+  replaces: opendatahub-operator.v1.0.0
   selector:
     matchLabels:
       component: opendatahub-operator

deploy/olm-catalog/opendatahub/1.0.10/metadata/annotations.yaml

@@ -0,0 +1,7 @@
+annotations:
+  operators.operatorframework.io.bundle.mediatype.v1: "registry+v1"
+  operators.operatorframework.io.bundle.manifests.v1: "manifests/"
+  operators.operatorframework.io.bundle.metadata.v1: "metadata/"
+  operators.operatorframework.io.bundle.package.v1: "opendatahub-operator"
+  operators.operatorframework.io.bundle.channels.v1: "beta"
+  operators.operatorframework.io.bundle.channel.default.v1: "beta"

deploy/olm-catalog/opendatahub/ci.yaml

@@ -0,0 +1,3 @@
+---
+# Use `replaces-mode` or `semver-mode`. Once you switch to `semver-mode`, there is no easy way back.
+updateGraph: replaces-mode

version.py

@@ -2,4 +2,4 @@
 """opendatahub operator."""
 
 
-__version__ = "1.0.10"
+__version__ = "1.0.11"