Merge pull request #4630 from sgibson91/cicada-hub/more-profile-options

Add 2 new machine size options to cicada hub

config/clusters/catalystproject-latam/cicada.values.yaml

@@ -28,3 +28,77 @@ jupyterhub:
         admin_users:
           - mfariello
           - luciauy
+  # Copied from common file as community requested extra options
+  singleuser:
+    profileList:
+      - display_name: Jupyter SciPy Notebook
+        description: Python environment
+        slug: jupyter
+        default: true
+        kubespawner_override:
+          image: quay.io/jupyter/scipy-notebook:2024-03-04
+          default_url: /lab
+        profile_options: &profile_options
+          resource_allocation: &resource_allocation
+            display_name: Resource Allocation
+            choices:
+              mem_0_7:
+                display_name: Up to 2G of RAM and 1 CPU
+                kubespawner_override:
+                  mem_guarantee: 732421K
+                  mem_limit: 2G
+                  cpu_guarantee: 0.093
+                  cpu_limit: 1
+              mem_3_0:
+                display_name: Up to 6G of RAM and 2 CPUs
+                kubespawner_override:
+                  mem_guarantee: 2929687.5K
+                  mem_limit: 6G
+                  cpu_guarantee: 0.375
+                  cpu_limit: 2
+              mem_12_0:
+                display_name: Up to 24G of RAM and 3 CPUs
+                kubespawner_override:
+                  mem_guarantee: 11718750K
+                  mem_limit: 24G
+                  cpu_guarantee: 1.5
+                  cpu_limit: 3
+              # Next two options were requested in: https://2i2c.freshdesk.com/a/tickets/2010
+              # https://github.com/2i2c-org/infrastructure/issues/4610 recommended using the
+              # small and medium options from showcase hub to fulfill this
+              showcase_small:
+                display_name: Up to 32GB of RAM and 4 CPUs
+                kubespawner_override:
+                  cpu_guarantee: 0.4
+                  mem_guarantee: 28.937G
+                  mem_limit: null
+              showcase_medium:
+                display_name: Up to 128GB of RAM and 16 CPUs
+                kubespawner_override:
+                  cpu_guarantee: 1.6
+                  mem_guarantee: 120.513G
+                  mem_limit: null
+      - display_name: Rocker Geospatial with RStudio
+        description: R environment
+        slug: rocker
+        kubespawner_override:
+          image: rocker/binder:4.3
+          image_pull_policy: Always
+          default_url: /rstudio
+          working_dir: /home/rstudio # Ensures container working dir is homedir
+        profile_options: *profile_options
+      - display_name: Bring your own image
+        description: Specify your own docker image (must have python and jupyterhub installed in it)
+        slug: custom
+        profile_options:
+          image:
+            display_name: Image
+            unlisted_choice:
+              enabled: True
+              display_name: "Custom image"
+              validation_regex: "^.+:.+$"
+              validation_message: "Must be a publicly available docker image, of form <image-name>:<tag>"
+              kubespawner_override:
+                image: "{value}"
+            choices: {}
+          resource_allocation: *resource_allocation