update: CSV parts missing in downstream (red-hat-data-services#375)

- change CPU back to old value which is being used for production - we will need to revisit values set there but not done any perf test - did not add "subs" here Signed-off-by: Wen Zhou <[email protected]>
zdtsw-forking · Oct 17, 2024 · ab08cac · ab08cac
1 parent 94ff95f
commit ab08cac
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diff --git a/Makefile b/Makefile
@@ -3,7 +3,7 @@
 # To re-generate a bundle for another specific version without changing the standard setup, you can:
 # - 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)
-VERSION ?= 2.14.0
+VERSION ?= 2.15.0
 # 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/rhods-operator.clusterserviceversion.yaml b/bundle/manifests/rhods-operator.clusterserviceversion.yaml
@@ -102,8 +102,9 @@ metadata:
     capabilities: Full Lifecycle
     categories: AI/Machine Learning, Big Data
     certified: "False"
-    containerImage: quay.io/opendatahub/opendatahub-operator:v2.0.0
-    createdAt: "2024-09-16T16:41:56Z"
+    containerImage: REPLACE_IMAGE:latest
+    createdAt: "2024-10-10T08:18:28Z"
+    description: Operator for deployment and management of Red Hat OpenShift AI
     features.operators.openshift.io/disconnected: "true"
     features.operators.openshift.io/fips-compliant: "false"
     features.operators.openshift.io/proxy-aware: "false"
@@ -155,6 +156,10 @@ metadata:
             "modelmeshserving": {
               "managementState": "Managed"
             },
+            "modelregistry": {
+              "managementState": "Removed",
+              "registriesNamespace": "rhoai-model-registries"
+            },
             "ray": {
               "managementState": "Managed"
             },
@@ -170,10 +175,13 @@ metadata:
           }
         }
       }
+    operatorframework.io/suggested-namespace: redhat-ods-operator
+    operators.openshift.io/infrastructure-features: '["disconnected"]'
     operators.operatorframework.io/builder: operator-sdk-v1.31.0
     operators.operatorframework.io/project_layout: go.kubebuilder.io/v3
     repository: https://github.com/red-hat-data-services/rhods-operator
-  name: rhods-operator.v2.14.0
+    support: Red Hat OpenShift AI
+  name: rhods-operator.v2.15.0
   namespace: placeholder
 spec:
   apiservicedefinitions: {}
@@ -239,15 +247,16 @@ spec:
 
     ### Components
     * Dashboard
-    * Curated Workbench Images (incl CUDA, PyTorch, Tensorflow, VScode)
+    * Curated Workbench Images (including CUDA, PyTorch, TensorFlow, code-server, TrustyAI)
     * Ability to add Custom Images
     * Ability to leverage accelerators (such as NVIDIA GPU)
-    * Data Science Pipelines. (including Elyra notebook interface, and based on standard OpenShift Pipelines)
+    * Data Science Pipelines (including Elyra notebook interface)
     * Model Serving using ModelMesh and Kserve.
     * Ability to use other runtimes for serving
     * Model Monitoring
     * Distributed workloads (KubeRay, CodeFlare, Kueue, Training Operator)
     * XAI explanations of predictive models (TrustyAI)
+    * Index and manage models, versions, and artifacts metadata (Model Registry)
   displayName: Red Hat OpenShift AI
   icon:
   - base64data: <?xml version="1.0" encoding="utf-8"?>
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@@ -1191,8 +1200,8 @@ spec:
                     cpu: 500m
                     memory: 4Gi
                   requests:
-                    cpu: 100m
-                    memory: 780Mi
+                    cpu: 500m
+                    memory: 256Mi
                 securityContext:
                   allowPrivilegeEscalation: false
                   capabilities:
@@ -1222,6 +1231,7 @@ spec:
   - supported: true
     type: AllNamespaces
   keywords:
+  - Operator
   - OpenShift
   - Open Data Hub
   - ODH
@@ -1238,13 +1248,25 @@ spec:
   - kserve
   - distributed-workloads
   - trustyai
+  - modelregistry
+  - RHOAI
+  - ODH
+  - OAI
+  - AI
+  - ML
+  - Machine Learning
+  - Data Science
   links:
   - name: Red Hat OpenShift AI
-    url: https://www.redhat.com/en/technologies/cloud-computing/openshift/openshift-ai
+    url: https://docs.redhat.com/en/documentation/red_hat_openshift_ai_self-managed/2.15.0
+  maintainers:
+  - email: [email protected]
+    name: Red Hat Openshift AI
+  maturity: stable
   minKubeVersion: 1.25.0
   provider:
     name: Red Hat
-  version: 2.14.0
+  version: 2.15.0
   webhookdefinitions:
   - admissionReviewVersions:
     - v1

diff --git a/config/manager/manager.yaml b/config/manager/manager.yaml
@@ -73,7 +73,7 @@ spec:
             cpu: 500m
             memory: 4Gi
           requests:
-            cpu: 100m
-            memory: 780Mi
+            cpu: 500m
+            memory: 256Mi
       serviceAccountName: controller-manager
       terminationGracePeriodSeconds: 10
diff --git a/config/manifests/bases/rhods-operator.clusterserviceversion.yaml b/config/manifests/bases/rhods-operator.clusterserviceversion.yaml
@@ -6,8 +6,9 @@ metadata:
     capabilities: Full Lifecycle
     categories: AI/Machine Learning, Big Data
     certified: "False"
-    containerImage: quay.io/opendatahub/opendatahub-operator:v2.0.0
-    createdAt: "2023-8-23T00:00:00Z"
+    containerImage: REPLACE_IMAGE:latest
+    createdAt: "2023-10-10T00:00:00Z"
+    description: Operator for deployment and management of Red Hat OpenShift AI
     features.operators.openshift.io/disconnected: "true"
     features.operators.openshift.io/fips-compliant: "false"
     features.operators.openshift.io/proxy-aware: "false"
@@ -59,6 +60,10 @@ metadata:
             "modelmeshserving": {
               "managementState": "Managed"
             },
+            "modelregistry": {
+              "managementState": "Removed",
+              "registriesNamespace": "rhoai-model-registries"
+            },
             "ray": {
               "managementState": "Managed"
             },
@@ -74,7 +79,10 @@ metadata:
           }
         }
       }
+    operatorframework.io/suggested-namespace: redhat-ods-operator
+    operators.openshift.io/infrastructure-features: '["disconnected"]'
     repository: https://github.com/red-hat-data-services/rhods-operator
+    support: Red Hat OpenShift AI
   name: rhods-operator.v2.0.0
   namespace: placeholder
 spec:
@@ -144,6 +152,7 @@ spec:
   - supported: true
     type: AllNamespaces
   keywords:
+  - Operator
   - OpenShift
   - Open Data Hub
   - ODH
@@ -160,10 +169,22 @@ spec:
   - kserve
   - distributed-workloads
   - trustyai
+  - modelregistry
+  - RHOAI
+  - ODH
+  - OAI
+  - AI
+  - ML
+  - Machine Learning
+  - Data Science
   links:
   - name: Red Hat OpenShift AI
-    url: https://www.redhat.com/en/technologies/cloud-computing/openshift/openshift-ai
+    url: https://docs.redhat.com/en/documentation/red_hat_openshift_ai_self-managed/2.15.0
+  maintainers:
+  - email: [email protected]
+    name: Red Hat Openshift AI
+  maturity: stable
   minKubeVersion: 1.25.0
   provider:
     name: Red Hat
-  version: 2.0.0
+  version: 2.15.0
diff --git a/config/manifests/description-patch.yml b/config/manifests/description-patch.yml
@@ -16,12 +16,13 @@ spec:
 
     ### Components
     * Dashboard
-    * Curated Workbench Images (incl CUDA, PyTorch, Tensorflow, VScode)
+    * Curated Workbench Images (including CUDA, PyTorch, TensorFlow, code-server, TrustyAI)
     * Ability to add Custom Images
     * Ability to leverage accelerators (such as NVIDIA GPU)
-    * Data Science Pipelines. (including Elyra notebook interface, and based on standard OpenShift Pipelines)
+    * Data Science Pipelines (including Elyra notebook interface)
     * Model Serving using ModelMesh and Kserve.
     * Ability to use other runtimes for serving
     * Model Monitoring
     * Distributed workloads (KubeRay, CodeFlare, Kueue, Training Operator)
     * XAI explanations of predictive models (TrustyAI)
+    * Index and manage models, versions, and artifacts metadata (Model Registry)