Update Jupyter image so node version gets updated

[vevetron]

Description

The jupyter images are having serious issues with the node version in the current jupyter notebook.

This switched to a newer image on the same version of python. It also uses something like node ~22, while the old used node ~20.

Resolves #(cal-itp/data-analyses#1388)

Type of change

• Bug fix (non-breaking change which fixes an issue)
• New feature
• Breaking change (fix or feature that would cause existing functionality to not work as expected)
• Documentation

How has this been tested?

Can't test locally, but the build.log looks good!

Post-merge follow-ups

Document any actions that must be taken post-merge to deploy or otherwise implement the changes in this PR (for example, running a full refresh of some incremental model in dbt). If these actions will take more than a few hours after the merge or if they will be completed by someone other than the PR author, please create a dedicated follow-up issue and link it here to track resolution.

• No action required
• Actions required (specified below)
  Test in prod

[github-actions]

The following changes will be applied to the production Kubernetes cluster upon merge.

BE AWARE this may not reveal changes that have been manually applied to the cluster getting undone—applying manual changes to the cluster should be avoided.

jupyterhub, continuous-image-puller, DaemonSet (apps) has changed:
...
            securityContext:
              allowPrivilegeEscalation: false
              runAsGroup: 65534
              runAsUser: 65534
          - name: image-pull-singleuser
-           image: ghcr.io/cal-itp/data-infra/jupyter-singleuser:2025.2.20
+           image: ghcr.io/cal-itp/data-infra/jupyter-singleuser:2025.1.15
            command:
              - /bin/sh
              - -c
              - echo "Pulling complete"
            securityContext:
...
jupyterhub, hub, ConfigMap (v1) has changed:
...
          configuration item if not None
          """
          data = get_config(key)
          if data is not None:
              setattr(cparent, name, data)
-   checksum_hook-image-puller: "c98912b04c4a7e36d593d84da801201975ee0e56a32729d076e5376e86c27bed"
+   checksum_hook-image-puller: "bcedf26754cf558433ca75ae3fa6a6694c62219a2a25f54ff7406d3c3d7e2b2b"
jupyterhub, hub, Deployment (apps) has changed:
...
          release: jupyterhub
          hub.jupyter.org/network-access-proxy-api: "true"
          hub.jupyter.org/network-access-proxy-http: "true"
          hub.jupyter.org/network-access-singleuser: "true"
        annotations:
-         checksum/config-map: be38254088b95749721c745cc3f987a3ce07d3c128c6f1f23b42d5218a4ee1d0
-         checksum/secret: cc3d747c05f5f19fc23b99d1c36b0e021b65adedc749f507e3750ca5b49761c5
+         checksum/config-map: 3f4f09154ff91af7fc3c6ea6feccb144213f3e1470a55a578fb41c5f25499105
+         checksum/secret: f9fce65074ab7a96faea267a512e3f603e871ac554ff92d0e61a6e37b6dc6225
      spec:
        tolerations:
          - effect: NoSchedule
            key: hub.jupyter.org/dedicated
            operator: Equal
...
jupyterhub, hub, Secret (v1) has changed:
...
    name: hub
  data:
    hub.config.ConfigurableHTTPProxy.auth_token: 'REDACTED # (64 bytes)'
    hub.config.CryptKeeper.keys: 'REDACTED # (64 bytes)'
    hub.config.JupyterHub.cookie_secret: 'REDACTED # (64 bytes)'
-   values.yaml: '-------- # (12166 bytes)'
+   values.yaml: '++++++++ # (12165 bytes)'
  type: Opaque

[vevetron]

Has too many weird reverts in the git log.