Update for charmhub, remove unused metadata keys

.github/workflows/integrate.yaml

@@ -64,7 +64,6 @@ jobs:
           channel: 1.21/stable
           charmcraft-channel: latest/candidate
       - run: |
-          juju add-model testing
           sg microk8s -c "tox -e ${{ matrix.charm }}-integration"
 
       # Collect debug logs if failed

bundle.yaml

@@ -1,14 +1,15 @@
 bundle: kubernetes
+name: kubeflow-pipelines
 applications:
-  argo-controller:        { charm: cs:~argo-charmers/argo-controller, scale: 1 }
-  minio:                  { charm: cs:~minio-charmers/minio-13,       scale: 1 }
-  kfp-api:                { charm: cs:kfp-api,                        scale: 1 }
+  argo-controller:        { charm: ch:argo-controller, channel: latest/edge, scale: 1 }
+  minio:                  { charm: ch:minio, channel: latest/edge,       scale: 1 }
+  kfp-api:                { charm: ch:kfp-api, channel: latest/edge,                        scale: 1 }
   kfp-db:                 { charm: cs:~charmed-osm/mariadb-k8s-35,    scale: 1, options: { database: mlpipeline } }
-  kfp-persistence:        { charm: cs:kfp-persistence,                scale: 1 }
-  kfp-schedwf:            { charm: cs:kfp-schedwf,                    scale: 1 }
-  kfp-ui:                 { charm: cs:kfp-ui,                         scale: 1 }
-  kfp-viewer:             { charm: cs:kfp-viewer,                     scale: 1 }
-  kfp-viz:                { charm: cs:kfp-viz,                        scale: 1 }
+  kfp-persistence:        { charm: ch:kfp-persistence, channel: latest/edge,                scale: 1 }
+  kfp-schedwf:            { charm: ch:kfp-schedwf, channel: latest/edge,                    scale: 1 }
+  kfp-ui:                 { charm: ch:kfp-ui, channel: latest/edge,                         scale: 1 }
+  kfp-viewer:             { charm: ch:kfp-viewer, channel: latest/edge,                     scale: 1 }
+  kfp-viz:                { charm: ch:kfp-viz, channel: latest/edge,                        scale: 1 }
 relations:
 - [argo-controller:object-storage, minio:object-storage]
 - [kfp-api, kfp-db]

charmcraft.yaml

@@ -0,0 +1 @@
+type: bundle

charms/kfp-api/metadata.yaml

@@ -1,19 +1,13 @@
 name: kfp-api
-display-name: Kubeflow Pipelines API
 summary: Reusable end-to-end ML workflows built using the Kubeflow Pipelines SDK
 description: |
-  Machine learning (ML) toolkit that is dedicated to making deployments
   of ML workflows on Kubernetes simple, portable, and scalable.
-maintainers:
   - "Dominik Fleischmann <dominik.fleischmann@canonical.com>"
   - "Kenneth Koski <kenneth.koski@canonical.com>"
-tags: [ai, big-data, kubeflow, machine-learning, tensorflow]
-series: [kubernetes]
 resources:
   oci-image:
     type: oci-image
     description: Backing OCI image
-    auto-fetch: true
     upstream-source: gcr.io/ml-pipeline/api-server:1.7.0
 requires:
   mysql:
@@ -31,4 +25,3 @@ provides:
     interface: k8s-service
     schema: https://raw.githubusercontent.com/canonical/operator-schemas/master/k8s-service.yaml
     versions: [v1]
-min-juju-version: 2.8.6

charms/kfp-persistence/metadata.yaml

@@ -1,26 +1,16 @@
 name: kfp-persistence
-display-name: Kubeflow Pipelines Persistence
 summary: Reusable end-to-end ML workflows built using the Kubeflow Pipelines SDK
 description: |
-  Machine learning (ML) toolkit that is dedicated to making deployments
   of ML workflows on Kubernetes simple, portable, and scalable.
-maintainers:
   - "Dominik Fleischmann <dominik.fleischmann@canonical.com>"
   - "Kenneth Koski <kenneth.koski@canonical.com>"
-tags: [ai, big-data, kubeflow, machine-learning, tensorflow]
-series: [kubernetes]
 resources:
   oci-image:
     type: oci-image
     description: Backing OCI image
-    auto-fetch: true
     upstream-source: gcr.io/ml-pipeline/persistenceagent:1.7.0
 requires:
   kfp-api:
     interface: k8s-service
     schema: https://raw.githubusercontent.com/canonical/operator-schemas/master/k8s-service.yaml
     versions: [v1]
-deployment:
-  type: stateless
-  service: omit
-min-juju-version: 2.8.6

charms/kfp-profile-controller/metadata.yaml

@@ -1,24 +1,18 @@
 name: kfp-profile-controller
-display-name: Kubeflow Pipelines Profile Controller
 summary: Reusable end-to-end ML workflows built using the Kubeflow Pipelines SDK
 description: |
-  Machine learning (ML) toolkit that is dedicated to making deployments
   of ML workflows on Kubernetes simple, portable, and scalable.
-maintainers:
   - "Dominik Fleischmann <dominik.fleischmann@canonical.com>"
   - "Kenneth Koski <kenneth.koski@canonical.com>"
   - "Andrew Scribner <andrew.scribner@canonical.com>"
-tags: [ai, big-data, kubeflow, machine-learning, tensorflow]
 series: [kubernetes]
 resources:
   oci-image:
     type: oci-image
     description: Backing OCI image
-    auto-fetch: true
     upstream-source: python:3.7
 requires:
   object-storage:
     interface: object-storage
     schema: https://raw.githubusercontent.com/canonical/operator-schemas/master/object-storage.yaml
     versions: [v1]
-min-juju-version: 2.8.6

charms/kfp-schedwf/metadata.yaml

@@ -1,21 +1,11 @@
 name: kfp-schedwf
-display-name: Kubeflow Pipelines Scheduled Workflows
 summary: Reusable end-to-end ML workflows built using the Kubeflow Pipelines SDK
 description: |
-  Machine learning (ML) toolkit that is dedicated to making deployments
   of ML workflows on Kubernetes simple, portable, and scalable.
-maintainers:
   - "Dominik Fleischmann <dominik.fleischmann@canonical.com>"
   - "Kenneth Koski <kenneth.koski@canonical.com>"
-tags: [ai, big-data, kubeflow, machine-learning, tensorflow]
-series: [kubernetes]
 resources:
   oci-image:
     type: oci-image
     description: Backing OCI image
-    auto-fetch: true
     upstream-source: gcr.io/ml-pipeline/scheduledworkflow:1.7.0
-deployment:
-  type: stateless
-  service: omit
-min-juju-version: 2.8.6

charms/kfp-ui/metadata.yaml

@@ -1,19 +1,13 @@
 name: kfp-ui
-display-name: Kubeflow Pipelines UI
 summary: Reusable end-to-end ML workflows built using the Kubeflow Pipelines SDK
 description: |
-  Machine learning (ML) toolkit that is dedicated to making deployments
   of ML workflows on Kubernetes simple, portable, and scalable.
-maintainers:
   - "Dominik Fleischmann <dominik.fleischmann@canonical.com>"
   - "Kenneth Koski <kenneth.koski@canonical.com>"
-tags: [ai, big-data, kubeflow, machine-learning, tensorflow]
-series: [kubernetes]
 resources:
   oci-image:
     type: oci-image
     description: Backing OCI image
-    auto-fetch: true
     upstream-source: gcr.io/ml-pipeline/frontend:1.7.0
 requires:
   object-storage:
@@ -33,4 +27,3 @@ provides:
     interface: k8s-service
     schema: https://raw.githubusercontent.com/canonical/operator-schemas/master/k8s-service.yaml
     versions: [v1]
-min-juju-version: 2.8.6

charms/kfp-viewer/metadata.yaml

@@ -1,21 +1,11 @@
 name: kfp-viewer
-display-name: Kubeflow Pipelines Viewer Controller
 summary: Reusable end-to-end ML workflows built using the Kubeflow Pipelines SDK
 description: |
-  Machine learning (ML) toolkit that is dedicated to making deployments
   of ML workflows on Kubernetes simple, portable, and scalable.
-maintainers:
   - "Dominik Fleischmann <dominik.fleischmann@canonical.com>"
   - "Kenneth Koski <kenneth.koski@canonical.com>"
-tags: [ai, big-data, kubeflow, machine-learning, tensorflow]
-series: [kubernetes]
 resources:
   oci-image:
     type: oci-image
     description: Backing OCI image
-    auto-fetch: true
     upstream-source: gcr.io/ml-pipeline/viewer-crd-controller:1.7.0
-deployment:
-  type: stateless
-  service: omit
-min-juju-version: 2.8.6

charms/kfp-viz/metadata.yaml

@@ -1,23 +1,16 @@
 name: kfp-viz
-display-name: Kubeflow Pipelines Visualization
 summary: Reusable end-to-end ML workflows built using the Kubeflow Pipelines SDK
 description: |
-  Machine learning (ML) toolkit that is dedicated to making deployments
   of ML workflows on Kubernetes simple, portable, and scalable.
-maintainers:
   - "Dominik Fleischmann <dominik.fleischmann@canonical.com>"
   - "Kenneth Koski <kenneth.koski@com.canonical>"
-tags: [ai, big-data, kubeflow, machine-learning, tensorflow]
-series: [kubernetes]
 resources:
   oci-image:
     type: oci-image
     description: Backing OCI image
-    auto-fetch: true
     upstream-source: gcr.io/ml-pipeline/visualization-server:1.7.0
 provides:
   kfp-viz:
     interface: k8s-service
     schema: https://raw.githubusercontent.com/canonical/operator-schemas/master/k8s-service.yaml
     versions: [v1]
-min-juju-version: 2.8.6