[release-1.7] set cni.specVersion only if k8s version >= 1.34

with this MR its setting the value installation.cni: {} for k8s 1.33

and for >= k8s 1.34

            installation:
              cni:
                specVersion: 0.3.1
                type: Calico

failure in pipeline:

update-workload-cluster is failing due to .spec.cni.specVersion: not supported in schema

Kustomization/wc-67271385-rke2-capo/calico  InProgress                     Kustomization generation is 3, but latest observed generation is 1
╰┄╴HelmRelease/wc-67271385-rke2-capo/calico InProgress                     HelmRelease generation is 2, but latest observed generation is 1
   ├┄╴┬┄┄[Conditions]
   ┆  ├┄╴Reconciling                        True       Progressing         Fulfilling prerequisites
   ┆  ├┄╴Ready                              False      StateError          Could not determine release state: unable to determine cluster state: Installation/default dry-run failed: failed to create typed patch object (/default; operator.tigera.io/v1, Kind=Installation): .spec.cni.specVersion: field not declared in schema
   ┆  ╰┄╴Released                           True       UpgradeSucceeded    Helm upgrade succeeded for release kube-system/rke2-calico.v2 with chart rke2-calico@v3.32.100

cc @vlad.onutu @thomas.morin

CI configuration

Below you can choose test deployment variants to run in this MR's CI.

Click to open to CI configuration

Legend:

Icon Meaning Available values
☁️ Infra Provider capd, capo, capm3
🚀 Bootstrap Provider kubeadm (alias kadm), rke2, okd, ck8s
🐧 Node OS ubuntu, suse, na, leapmicro
🛠️ Deployment Options Deployment option list and description
🎬 Pipeline Scenarios Available scenario list and description
🟢 Enabled units Any available units name, by default apply to management and workload cluster. Can be prefixed by mgmt: or wkld: to be applied only to a specific cluster type
🔴 Disabled units Any available units name, by default apply to management and workload cluster. Can be prefixed by mgmt: or wkld: to be applied only to a specific cluster type
🏗️ Target platform Can be used to select specific deployment environment Available platform list and description
⚡ Pipeline control autorun, manual or blocking. Can be used to override global config and start a deployment pipeline the required way
  • 🎬 preview ☁️ capd 🚀 kadm 🐧 ubuntu
  • 🎬 preview ☁️ capo 🚀 rke2 🐧 suse
  • 🎬 preview ☁️ capm3 🚀 rke2 🐧 ubuntu
  • ☁️ capd 🚀 kadm 🛠️ light-deploy 🐧 ubuntu
  • ☁️ capd 🚀 rke2 🛠️ light-deploy 🐧 suse
  • ☁️ capo 🚀 rke2 🐧 suse
  • ☁️ capo 🚀 rke2 🐧 leapmicro
  • ☁️ capo 🚀 kadm 🐧 ubuntu
  • ☁️ capo 🚀 rke2 🎬 wkld-k8s-upgrade-n-2-n-1 🛠️ ha 🐧 suse
  • ☁️ capo 🚀 kadm 🐧 ubuntu 🟢 neuvector,mgmt:harbor
  • ☁️ capo 🚀 rke2 🎬 rolling-update 🛠️ ha 🐧 ubuntu
  • ☁️ capo 🚀 kadm 🎬 wkld-k8s-upgrade 🐧 ubuntu
  • ☁️ capo 🚀 rke2 🎬 rolling-update-no-wkld 🛠️ ha 🐧 suse
  • ☁️ capo 🚀 rke2 🎬 sylva-upgrade 🛠️ ha 🐧 ubuntu
  • ☁️ capo 🚀 rke2 🎬 sylva-upgrade-from-1.6.x 🛠️ ha,misc 🐧 ubuntu
  • ☁️ capo 🚀 rke2 🛠️ ha,misc 🐧 ubuntu
  • ☁️ capo 🚀 rke2|okd 🎬 no-update 🐧 ubuntu|na
  • ☁️ capo 🚀 rke2 🛠️ misc 🐧 ubuntu 🟢 mgmt:harbor 🔴 neuvector
  • ☁️ capo 🚀 rke2 🛠️ ha,misc,openbao 🐧 suse
  • ☁️ capo 🚀 rke2 🐧 suse 🎬 upgrade-from-prev-tag
  • ☁️ capm3 🚀 rke2 🐧 suse
  • ☁️ capm3 🚀 kadm 🐧 ubuntu
  • ☁️ capm3 🚀 rke2 🛠️ external-openbao-no-tls 🐧 ubuntu
  • ☁️ capm3 🚀 rke2 🛠️ external-openbao 🐧 suse
  • ☁️ capm3 🚀 kadm 🛠️ external-openbao,openbao-namespace 🐧 ubuntu
  • ☁️ capm3 🚀 ck8s 🐧 ubuntu
  • ☁️ capm3 🚀 kadm 🎬 rolling-update-no-wkld 🛠️ ha,misc 🐧 ubuntu
  • ☁️ capm3 🚀 rke2 🎬 wkld-k8s-upgrade 🛠️ ha 🐧 suse
  • ☁️ capm3 🚀 kadm 🎬 rolling-update 🛠️ ha 🐧 ubuntu
  • ☁️ capm3 🚀 rke2 🎬 upgrade-from-prev-release-branch 🛠️ ha 🐧 suse
  • ☁️ capm3 🚀 rke2 🛠️ misc,ha 🐧 suse
  • ☁️ capm3 🚀 rke2 🎬 sylva-upgrade 🛠️ ha,misc 🐧 suse
  • ☁️ capm3 🚀 kadm 🎬 rolling-update 🛠️ ha 🐧 suse
  • ☁️ capm3 🚀 ck8s 🎬 rolling-update 🛠️ ha 🐧 ubuntu
  • ☁️ capm3 🚀 rke2|okd 🎬 no-update 🐧 ubuntu|na
  • ☁️ capm3 🚀 rke2 🐧 suse 🎬 upgrade-from-release-1.6
  • ☁️ capm3 🚀 rke2 🐧 suse 🎬 upgrade-to-main

Global config for deployment pipelines

  • autorun pipelines

  • allow failure on pipelines

  • record sylvactl events

Notes:

  • Enabling autorun will make deployment pipelines to be run automatically without human interaction
  • Disabling allow failure will make deployment pipelines mandatory for pipeline success.
  • if both autorun and allow failure are disabled, deployment pipelines will need manual triggering but will be blocking the pipeline

Be aware: after configuration change, pipeline is not triggered automatically. Please run it manually (by clicking the run pipeline button in Pipelines tab) or push new code.

Edited by Sakshi Choudhary

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