Update Dockerfile

ci/arcgis/Dockerfile

@@ -1,16 +1,44 @@
 #FROM ghcr.io/esri/arcgis-python-api-notebook
-#FROM jupyter/base-notebook:latest
-FROM pangeo/base-image:2023.01.13
-RUN conda init zsh && conda init bash
+FROM quay.io/jupyter/base-notebook:latest
 
-#RUN eval $(conda shell.bash hook)
+ENV CONDA_ENV=base \
+    # Tell apt-get to not block installs by asking for interactive human input
+    DEBIAN_FRONTEND=noninteractive \
+    # Set username, uid and gid (same as uid) of non-root user the container will be run as
+    NB_USER=jovyan \
+    NB_UID=1000 \
+    # Use /bin/bash as shell, not the default /bin/sh (arrow keys, etc don't work then)
+    SHELL=/bin/bash \
+    # Setup locale to be UTF-8, avoiding gnarly hard to debug encoding errors
+    LANG=C.UTF-8  \
+    LC_ALL=C.UTF-8 \
+
+# All env vars that reference other env vars need to be in their own ENV block
+# Path to the python environment where the jupyter notebook packages are installed
+ENV NB_PYTHON_PREFIX=${CONDA_DIR}/envs/${CONDA_ENV} \
+    # Home directory of our non-root user
+    HOME=/home/${NB_USER}
+
+# Add both our notebook env as well as default conda installation to $PATH
+# Thus, when we start a `python` process (for kernels, or notebooks, etc),
+# it loads the python in the notebook conda environment, as that comes
+# first here.
+ENV PATH=${NB_PYTHON_PREFIX}/bin:${CONDA_DIR}/bin:${PATH}
+
+RUN echo ". ${CONDA_DIR}/etc/profile.d/conda.sh ; conda activate ${CONDA_ENV}" > /etc/profile.d/init_conda.sh
 
-USER ${NB_USER}
-WORKDIR /home/${NB_USER}
+#FROM pangeo/base-image:2023.01.13
+
+#RUN conda init zsh && conda init bash
+#CONDA_DIR=/srv/conda
+
+#RUN eval $(conda shell.bash hook)
+#USER ${NB_USER}
+#WORKDIR /home/${NB_USER}
 
-ENV CONDA_ENV=base
-RUN source activate ${CONDA_ENV}
-RUN python -m ipykernel install --prefix /opt/conda/envs/${CONDA_ENV} --name ${CONDA_ENV} --display-name ${CONDA_ENV}
+#ENV CONDA_ENV=base
+#RUN conda activate ${CONDA_ENV}
+#RUN python -m ipykernel install --prefix /opt/conda/envs/${CONDA_ENV} --name ${CONDA_ENV} --display-name ${CONDA_ENV}
 
 
 #RUN conda install -c conda-forge jupyterlab=2.2.10