Add code-server package manifests

apps/code-server/README.md

@@ -1,17 +1,22 @@
 # code-server
 
-The base deploys code-server from `harbor.bwgdi.com/library/earth2studio-demo:v6`
-with a Service and password Secret reference.
+`base/` and `components/` stay plain Kustomize YAML for reusable validation and
+composition.
 
-The Secret is generated by the instance overlay. Workspace storage is mounted
-from top-level WorkloadClaim `storage`, and exposure is rendered from top-level
-`exposure`. Do not commit real passwords or tokens to this catalog.
+The OCDP self-service code-server flow is Helm-backed now:
 
-The WorkloadTemplate exposes storage intent (`temporary`, `retained`,
-`existing`) and exposure intent (`internal`, `external`) as claim-time choices.
-Workspace storage defaults to retained. The template also mounts a hidden
-retained `weight` StorageClass PVC at `/models` for model weights; this
-StorageClass detail is platform-owned and is not exposed as a user parameter.
+```text
+Helm chart
+  -> operator helm template
+  -> packages/code-server/presets/k3s-hami
+  -> final Kubernetes resources
+```
 
-The Deployment keeps HAMi resource keys in `resources.limits` at all times:
-`nvidia.com/gpu` for GPU count and `nvidia.com/gpumem` for GPU memory in MiB.
+The environment-specific preset lives in
+`packages/code-server/presets/k3s-hami`. That preset owns the platform image
+`harbor.bwgdi.com/library/earth2studio-demo:v6`, registry pull secret, HAMi
+scheduler, Service shape, code-server auth mode, and GPU resource keys.
+
+Users only fill CPU, memory, GPU count, and GPU memory. See
+`packages/code-server/presets/k3s-hami/userInputs.yaml` for the values schema
+that the console should render into the WorkloadClaim form.

apps/code-server/base/deployment.yaml

@@ -56,9 +56,9 @@ spec:
           resources:
             requests:
               cpu: "500m"
-              memory: 1Gi
+              memory: 1024Mi
             limits:
-              cpu: "2"
-              memory: 4Gi
+              cpu: "2000m"
+              memory: 4096Mi
               nvidia.com/gpu: "1"
               nvidia.com/gpumem: "8192"