mirror of
https://github.com/spiritLHLS/one-click-installation-script.git
synced 2024-11-16 10:32:19 +08:00
178 lines
7.4 KiB
Bash
178 lines
7.4 KiB
Bash
#!/usr/bin/env bash
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#by spiritlhl
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#from https://github.com/spiritLHLS/one-click-installation-script
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#version: 2022.12.21
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utf8_locale=$(locale -a 2>/dev/null | grep -i -m 1 -E "UTF-8|utf8")
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if [[ -z "$utf8_locale" ]]; then
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echo "No UTF-8 locale found"
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else
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export LC_ALL="$utf8_locale"
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export LANG="$utf8_locale"
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export LANGUAGE="$utf8_locale"
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echo "Locale set to $utf8_locale"
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fi
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ver="2022.12.21"
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changeLog="一键安装jupyter环境"
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source ~/.bashrc
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red(){ echo -e "\033[31m\033[01m$1$2\033[0m"; }
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green(){ echo -e "\033[32m\033[01m$1$2\033[0m"; }
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yellow(){ echo -e "\033[33m\033[01m$1$2\033[0m"; }
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reading(){ read -rp "$(green "$1")" "$2"; }
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clear
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echo "#######################################################################"
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echo "# ${YELLOW}一键安装jupyter环境${PLAIN} #"
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echo "# 版本：$ver #"
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echo "# 更新日志：$changeLog #"
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echo "# ${GREEN}作者${PLAIN}: spiritlhl #"
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echo "# ${GREEN}仓库${PLAIN}: https://github.com/spiritLHLS/one-click-installation-script #"
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echo "#######################################################################"
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echo "验证已支持的系统："
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echo "Ubuntu 18/20/22 - 推荐，脚本自动挂起到后台"
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echo "Debian 9/10/11 - 还行，需要手动挂起到后台，详看脚本运行安装完毕的后续提示"
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echo "可能支持的系统：centos 7+，Fedora，Almalinux 8.5+"
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red "本脚本尝试使用Miniconda3安装虚拟环境jupyter-env再进行jupyter和jupyterlab的安装，如若安装机器不纯净勿要轻易使用本脚本！"
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yellow "执行脚本，之前有用本脚本安装过则直接打印设置的登陆信息，没安装过则进行安装再打印信息，如果已安装但未启动则自动启动后再打印信息"
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yellow "如果是初次安装无脑y无脑回车即可，按照提示进行操作即可，安装完毕将在后台常驻运行"
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install_jupyter() {
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rm -rf Miniconda3-latest-Linux-x86_64.sh*
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# Check if conda is already installed
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if ! command -v conda &> /dev/null; then
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# Install conda
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wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh
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bash Miniconda3-latest-Linux-x86_64.sh -b -u
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# added by Miniconda3 installer
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echo 'export PATH="$PATH:$HOME/miniconda3/bin:$HOME/miniconda3/condabin"' >> ~/.bashrc
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echo 'export PATH="$PATH:$HOME/.local/share/jupyter"' >> ~/.bashrc
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source ~/.bashrc
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sleep 1
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echo 'export PATH="/home/user/miniconda3/bin:$PATH"' >> ~/.bashrc
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source ~/.bashrc
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sleep 1
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# Add the necessary paths to your search path
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export PATH="/home/user/miniconda3/bin:$PATH"
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green "请关闭本窗口开一个新窗口再执行本脚本，否则无法加载一些预设的环境变量" && exit 0
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fi
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green "加载预设的conda环境变量成功，准备安装jupyter，无脑输入y和回车即可"
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# Create a new conda environment and install jupyter
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conda create -n jupyter-env python=3
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sleep 5
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source activate jupyter-env
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sleep 1
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conda install jupyter jupyterlab
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# Add the following line to /etc/profile
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echo 'export PATH="$PATH:~/.local/share/jupyter"' >> /etc/profile
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# Execute the configuration
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source /etc/profile
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# Set username and password for Jupyter Server
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# jupyter notebook --generate-config
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# cp ~/.jupyter/jupyter_notebook_config.py ~/.jupyter/jupyter_server_config.py
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jupyter server --generate-config
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# echo "c.ServerApp.password = 'spiritlhl'" >> ~/.jupyter/jupyter_server_config.py
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# echo "c.ServerApp.username = 'spiritlhl'" >> ~/.jupyter/jupyter_server_config.py
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# Open port 13692 in firewall
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if command -v ufw &> /dev/null; then
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sudo ufw allow 13692/tcp
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elif command -v firewall-cmd &> /dev/null; then
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sudo firewall-cmd --add-port=13692/tcp --permanent
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sudo firewall-cmd --reload
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fi
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# Get the current system name
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ubuntu_version=$(lsb_release -rs)
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# Check if the Ubuntu version is 18.04, 20.04, or 22.04
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if [ "$ubuntu_version" == "18.04" ] || [ "$ubuntu_version" == "20.04" ] || [ "$ubuntu_version" == "22.04" ]; then
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# The system is Ubuntu 18.04, 20.04, or 22.04
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source activate jupyter-env
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sleep 1
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rm -rf nohup.out
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# Start Jupyter Server with port 13692 and host 0.0.0.0
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green "后台执行的pid的进程ID和输出日志文件名字如下"
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nohup jupyter lab --port 13692 --no-browser --ip=0.0.0.0 --allow-root & green $!
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sleep 5
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cat nohup.out
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else
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echo "你正在除了Ubuntu系统之外的系统执行，运行的最后几行可能有如下提示"
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yellow "nohup: failed to run command 'jupyter': No such file or directory"
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echo "非Ubuntu的系统你需要手动执行下面的命令"
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yellow "source activate jupyter-env"
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yellow "nohup jupyter lab --port 13692 --no-browser --ip=0.0.0.0 --allow-root"
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green "等待5秒后关闭本窗口，开新窗口执行下面的命令查看登陆信息"
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yellow "cat nohup.out"
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echo "非Ubuntu系统只有上面这样才能手动挂起jupyter后台执行"
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fi
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# Add the specified paths to the PATH variable
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paths="./miniconda3/envs/jupyter-env/etc/jupyter:./miniconda3/envs/jupyter-env/bin/jupyter:./miniconda3/envs/jupyter-env/share/jupyter"
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export PATH="$paths:$PATH"
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# Remove duplicate paths from the PATH variable
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new_path=$(echo "$PATH" | tr ':' '\n' | awk '!x[$0]++' | tr '\n' ':')
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export PATH="$new_path"
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# Refresh the current shell
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source ~/.bashrc
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green "已安装jupyter lab的web端到外网端口13692上，请打开你的 外网IP:13692"
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green "初次安装会要求输入token设置密码，token详见上方打印信息或当前目录的nohup.out日志"
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green "同时已保存日志输出到当前目录的nohup.out中且已打印5秒日志如上"
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green "如果需要进一步查询，请关闭本窗口开一个新窗口再执行本脚本，否则无法加载一些预设的环境变量"
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green "如果想要手动查询，输入 source activate jupyter-env && jupyter server list && conda deactivate 即可查询"
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exit 0
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}
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query_jupyter_info() {
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source activate jupyter-env > /dev/null 2>&1
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# Check if jupyter is installed
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if ! jupyter --version &> /dev/null; then
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echo "Error: Jupyter is not installed on this system."
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return 1
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fi
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source activate jupyter-env && jupyter server list && conda deactivate
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green "已查询登陆信息如上"
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green "如果想要手动查询，输入 source activate jupyter-env && jupyter server list && conda deactivate 即可查询"
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}
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main() {
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source activate jupyter-env > /dev/null 2>&1
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# Check if jupyter is installed
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if jupyter --version &> /dev/null; then
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green "Jupyter is already installed on this system."
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if ! (nc -z localhost 13692) > /dev/null 2>&1
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then
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source activate jupyter-env
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rm -rf nohup.out
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green "后台未启动jupyter，正在启动"
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nohup jupyter lab --port 13692 --no-browser --ip=0.0.0.0 --allow-root & green $!
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sleep 1
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jupyter lab
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fi
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else
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reading "Jupyter is not installed on this system. Do you want to install it? (y/n) " confirminstall
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echo ""
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# Check user's input and exit if they do not want to proceed
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if [ "$confirminstall" != "y" ]; then
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exit 0
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fi
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install_jupyter
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fi
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# Print the current info for Jupyter
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green "The current info for Jupyter:"
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query_jupyter_info
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}
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main
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