add jupyterhub to docker

.azure/aci-deploy.yaml

@@ -8,9 +8,12 @@ properties:
       environmentVariables:
       - name: SSH_USERS
         value: "{SSH_USERS}"
+      - name: PRODUCTION
+        value: "true"
       image: undpgeohub.azurecr.io/undp-data/geo-cb-surge:main
       ports:
       - port: 22
+      - port: 443
       resources:
         requests:
           cpu: 4
@@ -28,6 +31,7 @@ properties:
     type: Public
     ports:
       - port: 22
+      - port: 443
     dnsNameLabel: cbsurge-rapida
   volumes:
   - name: fileshare-volume

Dockerfile

@@ -4,10 +4,15 @@ FROM ghcr.io/osgeo/gdal:ubuntu-full-3.10.0
 ARG GROUPNAME="cbsurge"
 
 # Install necessary tools and Python packages
-RUN apt-get update && \
-    apt-get install -y python3-pip pipenv gcc cmake libgeos-dev openssh-server && \
+RUN curl -fsSL https://deb.nodesource.com/setup_22.x | bash - && \
+    apt-get update && \
+    apt-get install -y python3-pip pipenv \
+        gcc cmake libgeos-dev \
+        openssh-server \
+        ca-certificates curl gnupg nodejs && \
     apt-get clean && \
-    rm -rf /var/lib/apt/lists/*
+    rm -rf /var/lib/apt/lists/* && \
+     npm install -g configurable-http-proxy
 
 # install azure-cli
 RUN curl -sL https://aka.ms/InstallAzureCLIDeb | bash

docker-compose.yaml

@@ -7,11 +7,14 @@ services:
     volumes:
       - ./create_user.sh:/app/create_user.sh
       - ./entrypoint.sh:/app/entrypoint.sh
+      - ./jupyterhub_config.py:/app/jupyterhub_config.py
       - ./Makefile:/app/Makefile
       - ./cbsurge:/app/cbsurge # mount app folder to container
       - ./tests:/app/tests
     entrypoint: "/app/entrypoint.sh"
+#    entrypoint: "pipenv run jupyterhub"
     ports:
       - 2222:22
+      - 8100:8000
     environment:
       - SSH_USERS=${SSH_USERS:-''}

entrypoint.sh

@@ -13,5 +13,15 @@ if [ ! -z "$SSH_USERS" ]; then
     done
 fi
 
-# launch ssh server
-/usr/sbin/sshd -D
+# Determine the port based on the PRODUCTION environment variable
+if [ "$PRODUCTION" = "true" ]; then
+    JUPYTER_PORT=443
+else
+    JUPYTER_PORT=8000
+fi
+
+# Start SSH server in the background
+/usr/sbin/sshd -D &
+
+# Start JupyterLab in the foreground (so the container keeps running)
+pipenv run jupyterhub -f jupyterhub_config.py --port=$JUPYTER_PORT