various tweaks to the lab deployment

* make token a stack parameter
* use 8080
* start in /notebook

Author: razvan

stacks/jupyterhub-pyspark-hdfs/jupyterlab.yaml

@@ -27,13 +27,13 @@ spec:
             - bash
           args:
             - -c
-            - /stackable/.local/bin/jupyter lab --ServerApp.token='token' --no-browser
+            - /stackable/.local/bin/jupyter lab --ServerApp.token='{{ jupyterLabToken }}' --ServerApp.port=8080 --no-browser --notebook-dir /notebook
           env:
             - name: JUPYTER_PORT
-              value: "8888"
+              value: "8080"
           ports:
             - name: http
-              containerPort: 8888
+              containerPort: 8080
           volumeMounts:
             - mountPath: /notebook
               name: notebook

stacks/stacks-v2.yaml

@@ -373,18 +373,18 @@ stacks:
       - pyspark
       - spark-connect
     manifests:
-      - helmChart: stacks/jupyterhub-pyspark-hdfs/jupyterlab.yaml
-      - plainYaml: stacks/jupyterhub-pyspark-hdfs/spark_connect.yaml
       - plainYaml: stacks/jupyterhub-pyspark-hdfs/zookeeper.yaml
       - plainYaml: stacks/jupyterhub-pyspark-hdfs/hdfs.yaml
+      - plainYaml: stacks/jupyterhub-pyspark-hdfs/jupyterlab.yaml
+      - plainYaml: stacks/jupyterhub-pyspark-hdfs/spark_connect.yaml
     supportedNamespaces: []
     resourceRequests:
       cpu: 3350m
       memory: 7174Mi
       pvc: 110Gi
     parameters:
-      - name: jupyterHubAdminPassword
-        description: Password of the JupyterHub admin user
+      - name: jupyterLabToken
+        description: Token for JupyterLab UI access
         default: adminadmin
   dual-hive-hdfs-s3:
     description: Dual stack Hive on HDFS and S3 for Hadoop/Hive to Trino migration