Removing in-sane defaults from hypha

charts/hypha/values.yaml

@@ -4,12 +4,12 @@
 replicaCount: 1
 acmeEmail: ""
 certSecretName: imjoy-app-engine-tls
-imjoyHostName: https://hypha.imjoy.io
-s3ConsoleHostName: https://hs3c.imjoy.io
-s3_endpoint_url_public: https://hs3.imjoy.io
+imjoyHostName: https://hypha.local
+s3ConsoleHostName: https://hs3c.local
+s3_endpoint_url_public: https://hs3.local
 # s3_endpoint_url: ""
-auth0_audience: https://imjoy.eu.auth0.com/api/v2/
-auth0_domain: imjoy.eu.auth0.com
+auth0_audience: ""
+auth0_domain: ""
 jwt_secret: "xZ/aDcP+PfoTWgwA9ZADTtU/+djwMeMKz4QlSKRcgEs="
 
 # TODO
@@ -37,12 +37,10 @@ ingress:
   path: /
   # Used to create an Ingress record.
   hosts:
-    - imjoy.duckdns.org
-    # - hypha.imjoy.io
-  annotations:
-    {}
-    # kubernetes.io/ingress.class: nginx
-    # kubernetes.io/tls-acme: "true"
+  - imjoy.duckdns.org
+  annotations: {}
+  # kubernetes.io/ingress.class: nginx
+  # kubernetes.io/tls-acme: "true"
   labels: {}
   # tls:
   # Secrets must be manually created in the namespace.
@@ -102,18 +100,18 @@ tritoninferenceserver-hypha:
     # s3Endpoint: https://uk1s3.embassy.ebi.ac.uk
     # s3Bucket: s3://model-repository/
     env:
-      - name: TF_FORCE_GPU_ALLOW_GROWTH
-        value: "true"
-      - name: AWS_ACCESS_KEY_ID
-        value: minio
-      - name: AWS_SECRET_ACCESS_KEY
-        value: minio123
-      - name: AWS_REGION
-        value: us-east-1
-      - name: S3_ENDPOINT
-        value: "http://minio:9000"
-      - name: S3_USE_HTTPS
-        value: "0"
+    - name: TF_FORCE_GPU_ALLOW_GROWTH
+      value: "true"
+    - name: AWS_ACCESS_KEY_ID
+      value: minio
+    - name: AWS_SECRET_ACCESS_KEY
+      value: minio123
+    - name: AWS_REGION
+      value: us-east-1
+    - name: S3_ENDPOINT
+      value: "http://minio:9000"
+    - name: S3_USE_HTTPS
+      value: "0"
   ingress:
     enabled: false
   # resources:
@@ -145,5 +143,4 @@ tritoninferenceserver-hypha:
     gpuUtilization: 50
     gpuMemoryUtilization: 50
 
-  nodeSelector:
-    cloud.google.com/gke-accelerator: "nvidia-tesla-t4"
+  nodeSelector: {}