jeg qa-brh

devplanetv2/dev-environments/qa-brh-helm/values/values.yaml

@@ -1,6 +1,6 @@
 ambassador:
   jupyterNamespace: jupyter-pods-qa-brh
-  enabled: true
+  enabled: false
   image:
     repository: quay.io/datawire/ambassador
     tag: 1.4.2
@@ -752,3 +752,121 @@ wts:
   image:
     repository: 707767160287.dkr.ecr.us-east-1.amazonaws.com/gen3/workspace-token-service
     tag: "chore_request-handling-cleanup"
+
+workspace-proxy:
+  enabled: true
+  deploymentNamespace: qa-brh-helm
+  workspaceNamespace: jupyter-pods-qa-brh
+  kubernetesApiServerCIDRs:
+    - "10.100.0.1/32"       # kubernetes ClusterIP (pre-DNAT)
+    - "172.27.140.0/22"     # EKS private subnet (DHCP)
+    - "172.27.136.0/22"     # EKS private subnet (DHCP)
+    - "172.27.132.0/22"     # EKS private subnet (DHCP)
+
+  replicaCount: 1
+
+  image:
+    repository: quay.io/cdis/multihead-workspace-proxy
+    tag: master
+    pullPolicy: Always
+
+  listenAddr: ":8080"
+  jegKernelSpecPolicy: |
+    {
+      "allowedSpecs": [
+      ],
+      "displayNames": {
+        "python_kubernetes": "Python on Kubernetes",
+        "python_tf_kubernetes": "Python + TensorFlow",
+        "python_tf_gpu_kubernetes": "Python + TensorFlow + GPU"
+      }
+    }
+
+  resources:
+    requests:
+      cpu: "50m"
+      memory: "64Mi"
+    limits:
+      cpu: "500m"
+      memory: "256Mi"
+
+  networkPolicy:
+    enabled: true
+
+jeg:
+  enabled: true
+  workspaceNamespace: jupyter-pods-qa-brh
+
+  replicaCount: 1
+
+  image:
+    repository: quay.io/cdis/gen3-vectis
+    tag: "qa-jegv2"
+    pullPolicy: Always
+
+  env:
+    # CRITICAL: must match hatchery user-namespace and workspace-proxy WORKSPACE_NAMESPACE.
+    EG_NAMESPACE: jupyter-pods-qa-brh
+    EG_KERNEL_LAUNCH_TIMEOUT: "120"
+    EG_MAX_KERNELS_PER_USER: "2"
+    EG_CULL_IDLE_TIMEOUT: "90000"
+    EG_CULL_CONNECTED: "True"
+    EG_AUTH_TOKEN: ""
+    EG_DEFAULT_KERNEL_NAME: python3
+    EG_LIST_KERNELS: "True"
+    EG_KERNEL_IMAGE_PULL_POLICY: IfNotPresent
+    EG_SHARED_NAMESPACE: "True"
+    EG_MIRROR_WORKING_DIRS: "False"
+    EG_KERNEL_SPEC_POLICY: |
+      {
+        "default_kernel_name": "python3",
+        "kernel_specs": {
+          "python3": {
+            "display_name": "Python (Micro — Local)",
+            "language": "python"
+          },
+          "python_kubernetes": {
+            "display_name": "Python on Kubernetes (4Gi, 2 cpu)",
+            "language": "python",
+            "image_name": "elyra/kernel-py:latest",
+            "resources": {
+              "cpu": "2",
+              "memory": "4Gi",
+              "gpu_type": "none"
+            }
+          },
+          "python_tensorflow_kubernetes": {
+            "display_name": "Python on Kubernetes with TensorFlow (4Gi, 1 cpu)",
+            "language": "python",
+            "image_name": "elyra/kernel-py-tensorflow:latest",
+            "resources": {
+              "cpu": "1",
+              "memory": "4Gi",
+              "gpu_type": "none"
+            }
+          },
+          "python_tensorflow_gpu_kubernetes": {
+            "display_name": "Python on Kubernetes with TensorFlow with GPUs (8Gi, 2 cpu, gpu)",
+            "language": "python",
+            "image_name": "elyra/kernel-py-tensorflow:latest",
+            "resources": {
+              "cpu": "2",
+              "memory": "8Gi",
+              "gpu_type": "NVIDIA"
+            }
+          },
+          "r_kubernetes": {
+            "display_name": "R on Kubernetes",
+            "language": "r",
+            "image_name": "elyra/kernel-r:latest"
+          }
+        }
+      }
+
+  resources:
+    requests:
+      cpu: "100m"
+      memory: "256Mi"
+    limits:
+      cpu: "500m"
+      memory: "512Mi"