prepare_conda.sh

#!/bin/bash


cd `dirname $0`
. ./common.sh


usage="
Prepares conda with current Python and jupyter and no other packages, all for the current user.


Usage:

$(basename $0)  [--conda-dir <conda dir>] [--pip-cacher <ip[:port]]
                [--help] [--debug] [--log <output file>] 


where

 --repo-path                  - Alternative directory where to look for (and save) 
                                downloaded files. Defaults to /media/adam-minipc/other/debs 
                                if exists or /tmp/repo-path if it does not.
 --conda-dir                  - Directory where to install conda. Defaults to /opt/conda
 --pip-cacher                 - Host name and port to the pip cacher. If specified it will
                                install appropriate ~/.pip/pip.conf so all pip operations will
                                be cached
 --debug                      - Flag that sets debugging mode. 
 --log                        - Path to the log file that will log all meaningful commands

Example2:

$(basename $0) 

"

#if [ -z "$1" ]; then
#	echo "$usage" >&2
#	exit 0
#fi

set -x

conda_dir="/opt/conda"
pip_cacher=""
user="$USER"

if [ -d /media/adam-minipc/other/debs/ ]; then
   repo_path=/media/adam-minipc/other/debs
else
   repo_path=/tmp/repo_path
fi

while [[ $# > 0 ]]
do
key="$1"
shift

case $key in
	--debug)
	debug=1
	;;
	--log)
	log=$1
	shift
	;;
	--conda-dir)
	conda_dir=$1
	shift
	;;
	--repo-path)
	repo_path=$1
	shift
	;;
	--pip-cacher)
	pip_cacher=$1
	shift
	;;
	--help)
	echo "$usage"
	exit 0
	;;
	-*)
	echo "Error: Unknown option: $1" >&2
	echo "$usage" >&2
	exit 1
	;;
esac
done

if [ -n "$debug" ]; then
	if [ -z "$log" ]; then
		log=/dev/stdout
	fi
fi

conda_path=${conda_dir}/bin/conda
need_to_install=1

if [ -f "${conda_path}"  ]; then
   if $(${conda_path} --version >/dev/null); then
      need_to_install=0
   fi
fi

if [[ ${need_to_install} == 1 ]]; then
   installer_path=$(get_cached_file Miniconda3-latest-Linux-x86_64.sh https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh)

   if [ -z "${installer_path}" ]; then
      errcho "Cannot download the installer"
      exit 0
   fi
   logmkdir /opt $USER
   logexec bash ${installer_path} -b -p "${conda_dir}"
   logmkdir /opt root
   logmkdir /opt/conda $USER
   export PATH="${conda_dir}/bin:$PATH"
   logexec /opt/conda/bin/conda init
fi

if ! $(conda --version >/dev/null); then
   export PATH="${conda_dir}/bin:$PATH"
fi

if ! $(conda --version >/dev/null); then
   errcho "Still cannot run conda"
   exit 0
fi

source ${conda_dir}/bin/activate

logexec conda install --yes python

if [ -n "${pip_cacher}" ]; then
   logmkdir $HOME/.pip
   parse_URI "${pip_cacher}"
   
   textfile ~/.pip/pip.conf "[global]
index-url = http://${pip_cacher}/root/pypi/+simple/
trusted-host=${ip}

[search]
index = http://${pip_cacher}/root/pypi/
"  
fi

# logexec pip install ipython jupyter jupyter_contrib_nbextensions jupyterthemes
# logexec jt -t onedork
# logexec jupyter contrib nbextension install --user
node_key=$(get_cached_file nodesource.gpg.key https://deb.nodesource.com/gpgkey/nodesource.gpg.key)

add_apt_source_manual nodesource "deb https://deb.nodesource.com/node_11.x $(get_ubuntu_codename) main
deb-src https://deb.nodesource.com/node_11.x $(get_ubuntu_codename) main" https://deb.nodesource.com/gpgkey/nodesource.gpg.key nodesource.gpg.key 

refresh_apt_redirections
install_apt_packages nodejs

logexec pip install jupyterlab

npm_packages="$(get_home_dir ${USER})/.npm-packages"
logmkdir "$npm_packages" ${USER}
logexec npm config set prefix "$npm_packages"

textfile "$(get_home_dir ${USER}/.node_bashrc" "export NPM_PACKAGES='${$npm_packages}'
export NODE_PATH=\"\$NPM_PACKAGES/lib/node_modules\${NODE_PATH:+:\$NODE_PATH}\"
export PATH=\"\$NPM_PACKAGES/bin:\$PATH\"
unset MANPATH  # delete if you already modified MANPATH elsewhere in your config
export MANPATH=\"\$NPM_PACKAGES/share/man:\$(manpath)\"" ${USER}

linetextfile "$(get_home_dir ${USER}/.bashrc" "source $(get_home_dir ${USER}/.node_bashrc"

logexec npm install -g yarn
line=$(npm install -g yarn | grep -e "yarn -> .*/yarn\.js\$")
pattern='yarn -> (.*/yarn\.js)$'
if [[ "$line" =~ $pattern ]]; then
	yarn_dir="${BASH_REMATCH[1]}"
else
	errcho "Cannot set new yarn. Possible problems with jupyterlab extensions expected."
fi


#pip install jupyterlab-discovery ?
#jupyter labextension install jupyterlab-drawio
#jupyter labextension install @krassowski/jupyterlab-lsp
#jupyter labextension install jupyterlab-drawio @jupyterlab/theme-dark-extension @ryantam626/jupyterlab_code_formatter @jupyter-widgets/jupyterlab-manager
#jupyter labextension install @jupyterlab/theme-dark-extension
#jupyter labextension install @krassowski/jupyterlab-lsp

#jupyter labextension install @ryantam626/jupyterlab_code_formatter

#pip install jupyterlab_code_formatter
#pip install jupyter-conda
#jupyter serverextension enable --py jupyterlab_code_formatter

#jupyter labextension install jupyterlab_toastify jupyterlab_conda
#jupyter labextension list

#To add a specific kernel to jupyterlab:
#
#ipython kernel install --user --name=<any_name_for_kernel>

#To update jupyter extensions:
#
#jupyter labextension update --all

# To install latex support:
#
#pip install jupyterlab_latex
#jupyter labextension install @jupyterlab/latex
# <install latex>