Bug: Jupyterhub server deployment fails

[vevetron]

Describe the bug

Kubernetes deployment fails after PR - #3614 :
https://github.com/cal-itp/data-infra/actions/runs/12658177354/job/35275319227

Run poetry run invoke release -f "./kubernetes-workloads.yaml"
  poetry run invoke release -f "./kubernetes-workloads.yaml"
  shell: /usr/bin/bash -e ***0***
  env:
    GITHUB_TOKEN: ***
    CLOUDSDK_CORE_PROJECT: cal-itp-data-infra
    GKE_NAME: data-infra-apps
    GKE_REGION: us-west1
    USE_GKE_GCLOUD_AUTH_PLUGIN: true
    CLOUDSDK_AUTH_CREDENTIAL_FILE_OVERRIDE: /home/runner/work/data-infra/data-infra/gha-creds-6036e5683fbb6[2](https://github.com/cal-itp/data-infra/actions/runs/12658177354/job/35275319227#step:13:2)a8.json
    GOOGLE_APPLICATION_CREDENTIALS: /home/runner/work/data-infra/data-infra/gha-creds-60[3](https://github.com/cal-itp/data-infra/actions/runs/12658177354/job/35275319227#step:13:3)6e5683fbb62a8.json
    GOOGLE_GHA_CREDS_PATH: /home/runner/work/data-infra/data-infra/gha-creds-6036e5683fbb62a8.json
    CLOUDSDK_PROJECT: cal-itp-data-infra
    GCLOUD_PROJECT: cal-itp-data-infra
    GCP_PROJECT: cal-itp-data-infra
    GOOGLE_CLOUD_PROJECT: cal-itp-data-infra
    CLOUDSDK_METRICS_ENVIRONMENT: github-actions-setup-gcloud
    CLOUDSDK_METRICS_ENVIRONMENT_VERSION: 2.1.2
    KUBECONFIG: /home/runner/work/data-infra/data-infra/gha-kubeconfig-8aa0[4](https://github.com/cal-itp/data-infra/actions/runs/12658177354/job/35275319227#step:13:4)4c66b8764e9
    KUBE_CONFIG_PATH: /home/runner/work/data-infra/data-infra/gha-kubeconfig-8aa044c66b8764e9
Executing: kubectl apply -k /home/runner/work/data-infra/data-infra/kubernetes/apps/overlays/gtfs-rt-archiver-v3-prod
namespace/gtfs-rt-v3 unchanged
configmap/archiver-app-vars unchanged
configmap/archiver-channel-vars unchanged
service/redis unchanged
deployment.apps/gtfs-rt-archiver-consumer configured
deployment.apps/gtfs-rt-archiver-ticker configured
deployment.apps/redis configured
Executing: kubectl apply -k /home/runner/work/data-infra/data-infra/kubernetes/apps/manifests/airflow-jobs
namespace/airflow-jobs unchanged
priorityclass.scheduling.k8s.io/dbt-high-priority configured
WARNING: Kubernetes configuration file is group-readable. This is insecure. Location: /home/runner/work/data-infra/data-infra/gha-kubeconfig-8aa044c66b8764e9
WARNING: Kubernetes configuration file is group-readable. This is insecure. Location: /home/runner/work/data-infra/data-infra/gha-kubeconfig-8aa044c66b8764e9
Executing: helm dependency update /home/runner/work/data-infra/data-infra/kubernetes/apps/charts/grafana
Executing: helm upgrade grafana /home/runner/work/data-infra/data-infra/kubernetes/apps/charts/grafana --install --namespace monitoring-grafana --values=/home/runner/work/data-infra/data-infra/kubernetes/apps/values/grafana.yaml --values=/home/runner/work/data-infra/data-infra/kubernetes/apps/values/grafana-prod.yaml --reset-values 
Release "grafana" has been upgraded. Happy Helming!
NAME: grafana
LAST DEPLOYED: Tue Jan  7 20:03:21 202[5](https://github.com/cal-itp/data-infra/actions/runs/12658177354/job/35275319227#step:13:5)
NAMESPACE: monitoring-grafana
STATUS: deployed
REVISION: 70
TEST SUITE: None
NOTES:
1. Get your 'admin' user password by running:

   kubectl get secret --namespace monitoring-grafana grafana -o jsonpath="***.data.admin-password***" | base[6](https://github.com/cal-itp/data-infra/actions/runs/12658177354/job/35275319227#step:13:6)4 --decode ; echo

2. The Grafana server can be accessed via port 80 on the following DNS name from within your cluster:

   grafana.monitoring-grafana.svc.cluster.local

   If you bind grafana to 80, please update values in values.yaml and reinstall:

securityContext:
runAsUser: 0
runAsGroup: 0
fsGroup: 0

command:

• "setcap"
• "'cap_net_bind_service=+ep'"
• "/usr/sbin/grafana-server &&"
• "sh"
• "/run.sh"

Details refer to https://grafana.com/docs/installation/configuration/#http-port.
Or grafana would always crash.

From outside the cluster, the server URL(s) are:
  http://monitoring.k8s.calitp.jarv.us
  http://monitoring.calitp.org

3. Login with the password from step 1 and the username: admin
WARNING: Kubernetes configuration file is group-readable. This is insecure. Location: /home/runner/work/data-infra/data-infra/gha-kubeconfig-8aa044c66b8[7](https://github.com/cal-itp/data-infra/actions/runs/12658177354/job/35275319227#step:13:7)64e9
Executing: helm dependency update /home/runner/work/data-infra/data-infra/kubernetes/apps/charts/jupyterhub
Getting updates for unmanaged Helm repositories...
...Successfully got an update from the "https://jupyterhub.github.io/helm-chart" chart repository
Saving 1 charts
Downloading jupyterhub from repo https://jupyterhub.github.io/helm-chart
Deleting outdated charts
Downloaded secret helm values: /tmp/tmpsw6cotpc/jupyterhub_jupyterhub-sensitive-helm-values.yaml
WARNING: Kubernetes configuration file is group-readable. This is insecure. Location: /home/runner/work/data-infra/data-infra/gha-kubeconfig-[8](https://github.com/cal-itp/data-infra/actions/runs/12658177354/job/35275319227#step:13:8)aa044c66b8764e9
Error: UPGRADE FAILED: pre-upgrade hooks failed: 1 error occurred:
 * timed out waiting for the condition


Executing: helm upgrade jupyterhub /home/runner/work/data-infra/data-infra/kubernetes/apps/charts/jupyterhub --install --namespace jupyterhub --values=/tmp/tmpsw6cotpc/jupyterhub_jupyterhub-sensitive-helm-values.yaml --reset-values --timeout [10](https://github.com/cal-itp/data-infra/actions/runs/12658177354/job/35275319227#step:13:10)m0s
Error: Process completed with exit code 1.

After making changes

To Reproduce
Re-run failed deployment here: https://github.com/cal-itp/data-infra/actions/workflows/deploy-kubernetes.yml

Expected behavior
Works well like:
https://github.com/cal-itp/data-infra/actions/runs/11395015198/job/31706447087?pr=3508

Additional context
Happy Tuesday! Happy New Year!

[vevetron]

I wrote the name wrong.
From lens:

Failed to apply default image tag "map[name:ghcr.io/cal-itp/data-infra/jupyter-singleuser tag:2024.5.24]": couldn't parse image name "map[name:ghcr.io/cal-itp/data-infra/jupyter-singleuser tag:2024.5.24]": invalid reference format

https://z2jh.jupyter.org/en/latest/jupyterhub/customizing/user-environment.html#multiple-profiles