try the gis image again

ci/arcgis/Dockerfile

@@ -1,37 +1,6 @@
-#FROM ghcr.io/esri/arcgis-python-api-notebook
-FROM quay.io/jupyter/base-notebook:latest
+FROM ghcr.io/esri/arcgis-python-api-notebook
 
 RUN mamba install --yes 'jupyter-server-proxy' && \
     mamba clean --all -f -y && \
     fix-permissions "${CONDA_DIR}" && \
     fix-permissions "/home/${NB_USER}"
-
-# Name your environment and choose the Python version
-ARG env_name=python310
-ARG py_ver=3.10
-
-# You can add additional libraries here
-RUN mamba create --yes -p "${CONDA_DIR}/envs/${env_name}" \
-    python=${py_ver} \
-    'ipykernel' \
-    'jupyterlab' \
-    'jupyter-server-proxy' && \
-    mamba clean --all -f -y
-
-# Create Python kernel and link it to jupyter
-RUN "${CONDA_DIR}/envs/${env_name}/bin/python" -m ipykernel install --user --name="${env_name}" && \
-    fix-permissions "${CONDA_DIR}" && \
-    fix-permissions "/home/${NB_USER}"
-
-# Note: uncommenting this section makes "${env_name}" default both for Jupyter Notebook and Terminals
-# More information here: https://github.com/jupyter/docker-stacks/pull/2047
-USER root
-RUN \
-  # This changes a startup hook, which will activate the custom environment for the process
-  echo conda activate "${env_name}" >> /usr/local/bin/before-notebook.d/10activate-conda-env.sh && \
-  # This makes the custom environment default in Jupyter Terminals for all users which might be created later
-  echo conda activate "${env_name}" >> /etc/skel/.bashrc && \
-  # This makes the custom environment default in Jupyter Terminals for already existing NB_USER
-  echo conda activate "${env_name}" >> "/home/${NB_USER}/.bashrc"
-
-USER ${NB_UID}

ci/arcgis/oldDockerfile_plus_new_env

@@ -0,0 +1,37 @@
+FROM ghcr.io/esri/arcgis-python-api-notebook
+#FROM quay.io/jupyter/base-notebook:latest
+
+RUN mamba install --yes 'jupyter-server-proxy' && \
+    mamba clean --all -f -y && \
+    fix-permissions "${CONDA_DIR}" && \
+    fix-permissions "/home/${NB_USER}"
+
+# Name your environment and choose the Python version
+ARG env_name=python310
+ARG py_ver=3.10
+
+# You can add additional libraries here
+RUN mamba create --yes -p "${CONDA_DIR}/envs/${env_name}" \
+    python=${py_ver} \
+    'ipykernel' \
+    'jupyterlab' \
+    'jupyter-server-proxy' && \
+    mamba clean --all -f -y
+
+# Create Python kernel and link it to jupyter
+RUN "${CONDA_DIR}/envs/${env_name}/bin/python" -m ipykernel install --user --name="${env_name}" && \
+    fix-permissions "${CONDA_DIR}" && \
+    fix-permissions "/home/${NB_USER}"
+
+# Note: uncommenting this section makes "${env_name}" default both for Jupyter Notebook and Terminals
+# More information here: https://github.com/jupyter/docker-stacks/pull/2047
+USER root
+RUN \
+  # This changes a startup hook, which will activate the custom environment for the process
+  echo conda activate "${env_name}" >> /usr/local/bin/before-notebook.d/10activate-conda-env.sh && \
+  # This makes the custom environment default in Jupyter Terminals for all users which might be created later
+  echo conda activate "${env_name}" >> /etc/skel/.bashrc && \
+  # This makes the custom environment default in Jupyter Terminals for already existing NB_USER
+  echo conda activate "${env_name}" >> "/home/${NB_USER}/.bashrc"
+
+USER ${NB_UID}