Restore manifests and vscode config to match upstream/master

Signed-off-by: kaikaila <[email protected]>

Author: kaikaila

manifests/kustomize/base/crds/pipelines.kubeflow.org_pipelines.yaml

@@ -41,6 +41,8 @@ spec:
             properties:
               description:
                 type: string
+              displayName:
+                type: string
             type: object
         type: object
     served: true

manifests/kustomize/base/crds/pipelines.kubeflow.org_pipelineversions.yaml

@@ -43,6 +43,8 @@ spec:
                 type: string
               description:
                 type: string
+              displayName:
+                type: string
               pipelineName:
                 type: string
               pipelineSpec:

manifests/kustomize/base/pipeline/ml-pipeline-apiserver-deployment.yaml

@@ -131,41 +131,26 @@ spec:
             - name: grpc
               containerPort: 8887
           readinessProbe:
-            exec:
-              command:
-                - wget
-                - -q # quiet
-                - -S # show server response
-                - -O
-                - "-" # Redirect output to stdout
-                - http://localhost:8888/apis/v1beta1/healthz
+            httpGet:
+              path: /apis/v1beta1/healthz
+              port: 8888
             initialDelaySeconds: 3
             periodSeconds: 5
             timeoutSeconds: 2
           livenessProbe:
-            exec:
-              command:
-                - wget
-                - -q # quiet
-                - -S # show server response
-                - -O
-                - "-" # Redirect output to stdout
-                - http://localhost:8888/apis/v1beta1/healthz
+            httpGet:
+              path: /apis/v1beta1/healthz
+              port: 8888
             initialDelaySeconds: 3
             periodSeconds: 5
             timeoutSeconds: 2
           # This startup probe provides up to a 60 second grace window before the
           # liveness probe takes over to accomodate the occasional database
           # migration.
           startupProbe:
-            exec:
-              command:
-                - wget
-                - -q # quiet
-                - -S # show server response
-                - -O
-                - "-" # Redirect output to stdout
-                - http://localhost:8888/apis/v1beta1/healthz
+            httpGet:
+              path: /apis/v1beta1/healthz
+              port: 8888
             failureThreshold: 12
             periodSeconds: 5
             timeoutSeconds: 2

manifests/kustomize/base/pipeline/ml-pipeline-ui-deployment.yaml

@@ -68,26 +68,16 @@ spec:
           - name: DISABLE_GKE_METADATA
             value: "true"
         readinessProbe:
-          exec:
-            command:
-              - wget
-              - -q # quiet
-              - -S # show server response
-              - -O
-              - "-" # Redirect output to stdout
-              - http://localhost:3000/apis/v1beta1/healthz
+          httpGet:
+            path: /apis/v1beta1/healthz
+            port: 3000
           initialDelaySeconds: 3
           periodSeconds: 5
           timeoutSeconds: 2
         livenessProbe:
-          exec:
-            command:
-              - wget
-              - -q # quiet
-              - -S # show server response
-              - -O
-              - "-" # Redirect output to stdout
-              - http://localhost:3000/apis/v1beta1/healthz
+          httpGet:
+            path: /apis/v1beta1/healthz
+            port: 3000
           initialDelaySeconds: 3
           periodSeconds: 5
           timeoutSeconds: 2

manifests/kustomize/base/pipeline/ml-pipeline-visualization-deployment.yaml

@@ -26,26 +26,16 @@ spec:
         - name: http
           containerPort: 8888
         readinessProbe:
-          exec:
-            command:
-              - wget
-              - -q # quiet
-              - -S # show server response
-              - -O
-              - "-" # Redirect output to stdout
-              - http://localhost:8888/
+          httpGet:
+              path: /
+              port: 8888
           initialDelaySeconds: 3
           periodSeconds: 5
           timeoutSeconds: 2
         livenessProbe:
-          exec:
-            command:
-              - wget
-              - -q # quiet
-              - -S # show server response
-              - -O
-              - "-" # Redirect output to stdout
-              - http://localhost:8888/
+          httpGet:
+              path: /
+              port: 8888
           initialDelaySeconds: 3
           periodSeconds: 5
           timeoutSeconds: 2

manifests/kustomize/env/dev/api-server-patch.yaml

@@ -7,11 +7,10 @@ spec:
   template:
     spec:
       containers:
-        - name: ml-pipeline-api-server
-          image: apiserver
-          env:
+        - env:
             - name: V2_DRIVER_IMAGE
               value: ghcr.io/kubeflow/kfp-driver:master
             - name: V2_LAUNCHER_IMAGE
               value: ghcr.io/kubeflow/kfp-launcher:master
+          name: ml-pipeline-api-server
       serviceAccountName: ml-pipeline

manifests/kustomize/env/dev/kustomization.yaml

@@ -8,6 +8,32 @@ resources:
 - ../platform-agnostic
 - ../gcp/inverse-proxy
 
+images:
+- name: ghcr.io/kubeflow/kfp-api-server
+  newTag: master
+- name: ghcr.io/kubeflow/kfp-frontend
+  newTag: master
+- name: ghcr.io/kubeflow/kfp-persistence-agent
+  newTag: master
+- name: ghcr.io/kubeflow/kfp-scheduled-workflow-controller
+  newTag: master
+- name: ghcr.io/kubeflow/kfp-cache-deployer
+  newTag: master
+- name: ghcr.io/kubeflow/kfp-cache-server
+  newTag: master
+- name: ghcr.io/kubeflow/kfp-metadata-envoy
+  newTag: master
+- name: ghcr.io/kubeflow/kfp-metadata-writer
+  newTag: master
+- name: ghcr.io/kubeflow/kfp-viewer-crd-controller
+  newTag: master
+- name: ghcr.io/kubeflow/kfp-visualization-server
+  newTag: master
+- name: ghcr.io/kubeflow/kfp-inverse-proxy-agent
+  newTag: master
+
+patches:
+  - path: api-server-patch.yaml
 # !!! If you want to customize the namespace,
 # please refer sample/cluster-scoped-resources to update the namespace for cluster-scoped-resources
 namespace: kubeflow