feature(add rlang #9): install conda

README.md

@@ -14,10 +14,31 @@ docker-compose up -d jupyter_deno
 
 # docker-compose logs -f jupyter_deno
 
+# --- # ---
+# --- 
+# -
+# docker-compose down && git checkout . && git checkout feature/jb/first/notebooks && git pull && docker-compose build jupyter_deno && docker-compose up -d jupyter_deno && docker-compose logs -f jupyter_deno
 ```
 
 * go to http://localhost:8888/lab/ , and use `decoderleco` as the token to login
 
+<!--
+
+Little helper for working with VirtualBox VM as a docker runner
+
+```bash
+scp -r jbl@mongo.pesto.io:/home/jbl/poc-data-visualization/notebooks/jb/PolarsDemo1.ipynb ./notebooks/jb/
+
+scp -r jbl@jupyter-spark.pesto.io:/home/jbl/poc-data-visualization/notebooks/jb/PolarsDemo1.ipynb ./notebooks/jb/
+
+scp -r jbl@jupyter-deno.pesto.io:/home/jbl/poc-data-visualization/notebooks/jb/PolarsDemo1.ipynb ./notebooks/jb/
+
+# and in the VM:
+
+# docker-compose down && git checkout . && git checkout feature/jb/first/notebooks && git pull && docker-compose build jupyter_deno && docker-compose up -d jupyter_deno && docker-compose logs -f jupyter_deno
+```
+-->
+
 ## Stack
 
 Ce POC utilise le stack technologique suivant:

oci/deno-jupyter/Dockerfile

@@ -56,7 +56,7 @@ RUN bash -c 'source ~/.bashrc && deno jupyter --unstable --install' && \
 RUN mkdir -p $DATAVIZ_NOTEBOOKS_HOME
 
 
-FROM build as runner
+FROM build as deno_runner
 
 RUN mkdir -p /run
 
@@ -75,3 +75,15 @@ EXPOSE 8888
 
 # CMD [ "/run/start.sh" ]
 CMD [ "/run/start.debug.sh" ]
+
+
+FROM deno_runner as add_r_kernel
+
+RUN mkdir -p /kernels/extras/ && mkdir -p /kernels/ops/ 
+
+WORKDIR /kernels/ops/
+COPY add-rlang-kernel.sh .
+RUN chmod +x ./add-rlang-kernel.sh && ./add-rlang-kernel.sh
+
+
+WORKDIR /usr/dataviz/notebooks/decoderleco

oci/deno-jupyter/add-rlang-kernel.sh

@@ -0,0 +1,36 @@
+#!/bin/bash
+
+# -------
+# >>> https://docs.posit.co/ide/server-pro/user/2023.03.1/jupyter-lab/guide/jupyter-kernel-management.html#user-created-kernels
+# --- this would be to add a kernel to jupyter lab, baed on a python venv
+# instead of running [pip install ipykernel], we install it with a requirements.txt
+# python -m pip install ipykernel
+# cat <<EOF >./requirements.kernels.mgmt.txt
+# ipykernel
+# EOF
+# python -m pip install -r requirements.kernels.mgmt.txt
+
+
+# -------
+# >>> https://datatofish.com/r-jupyter-notebook/
+# --- 
+
+# ----
+# Install CONDA
+# > https://conda.io/projects/conda/en/latest/user-guide/install/linux.html#install-linux-silent
+
+export CONDA_INSTALLER_DWNLD_LINK="https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh"
+export CONDA_INSTALLER_FILENAME=$(echo "${CONDA_INSTALLER_DWNLD_LINK}" | awk -F '/' '{ print $NF }')
+echo "  CONDA_INSTALLER_DWNLD_LINK=[${CONDA_INSTALLER_DWNLD_LINK}]"
+echo "  CONDA_INSTALLER_FILENAME=[${CONDA_INSTALLER_FILENAME}]"
+
+curl -LO https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh
+export CONDA_INSTALLER_CHECKSUM_SHA256="b978856ec3c826eb495b60e3fffe621f670c101150ebcbdeede4f961f22dc438"
+
+echo "${CONDA_INSTALLER_CHECKSUM_SHA256} ${CONDA_INSTALLER_FILENAME}" | ./conda.sha256.checksum
+sha256sum -c ./conda.sha256.checksum
+bash ${CONDA_INSTALLER_FILENAME}
+
+
+
+echo 'y\n' | conda install -c r r-irkernel