hub:
  image:
    tag: 0.11.1-n270.he08bb7f8
  extraConfig:
    runaiConfig: |
      c.KubeSpawner.scheduler_name = u'runai-scheduler'
      c.KubeSpawner.extra_labels = {
          'project': '{username}',
          'user': '{username}',
          'priorityClassName': 'build'
      }
      c.KubeSpawner.environment = {
          'JUPYTERHUB_API_URL': 'http://hub.jhub.svc.cluster.local:8081/hub/api'
      }
      c.KubeSpawner.enable_user_namespaces = True
      c.KubeSpawner.user_namespace_template = u'runai-{username}'
      def pre_spawn_hook(spawner):
          spawner.log.debug("pre_spawn_hook start")
          async def dummy_ensure_namespace():
              spawner.log.debug("dummy ensure_namespace")
          spawner._ensure_namespace = dummy_ensure_namespace              
          spawner.log.debug("pre_spawn_hook end")
      c.Spawner.pre_spawn_hook = pre_spawn_hook    
proxy:
  secretToken: <SECRET-TOKEN>
singleuser:
  storage:
    type: none  
  profileList:
  - slug: "RA 0.5"
    description: "Run:ai Profile"
    display_name: "Run:ai with 0.5 GPU"
    kubespawner_override:
      image: jupyter/tensorflow-notebook
      tag: 3395de4db93a
      extra_annotations:
        gpu-fraction: "0.5"
  - default: true
    slug: "RA 1"
    description: "Run:ai Profile"
    display_name: "Run:I with 1 GPU"
    kubespawner_override:
      image: jupyter/datascience-notebook
      tag: 177037d09156
      extra_resource_limits:
        nvidia.com/gpu: "1"
  - slug: "RA 2"
    description: "Run:ai Profile"
    display_name: "Run:ai with 2 GPU"
    kubespawner_override:
      image: jupyter/tensorflow-notebook
      tag: 3395de4db93a
      extra_resource_limits:
        nvidia.com/gpu: "2"