Ubuntu 16.04远程配置Jupyter Notebook
安装和配置Jupyter Notebook
安装jupyter notebook
conda
conda install -c conda-forge notebook
pip
pip install notebook
安装好之后,运行:
jupyter notebook
看是否能成功运行
配置Jupyter notebook
- 首先生成配置文件:
sudo jupyter notebook --generate-config
- 然后修改位于
~/.jupyter/jupyter_notebook_config.py
处的配置文件:- notebook文件根目录:
## The directory to use for notebooks and kernels. # Default: '' c.NotebookApp.notebook_dir = '<PATH_TO_DIR>'
- notebook文件根目录:
## The port the notebook server will listen on (env: JUPYTER_PORT). # Default: 8888 c.NotebookApp.port = 51234
- notebook文件根目录:
- 运行命令:
jupyter notebook --no-browser --config=<ABSPATH_TO_CONFIG>/.jupyter/jupyter_notebook_config.py
把jupyter notebook的启动合成到一个命令
为启动notebook的命令设置别名:
alias jlremote='jupyter notebook --no-browser --config=<ABSPATH_TO_CONFIG>/.jupyter/jupyter_notebook_config.py'
然后将这句命令添加到~/.bashrc
和~/.bash_profile
,如果是Mac OS则添加到~/.zshrc
之后运行:
jlremote
即可。为了使notebook能在后台运行,可以用screen
命令为其单开一个screen运行。
把jupyter notebook作为linux service运行
sudo vim /etc/systemd/system/jupyter.service
在这个文件里填入
[Unit]
Description=Jupyter Notebook
[Service]
WorkingDirectory=<PATH_TO_DIR>
ExecStart=<ABSPATH_TO_CMD>/jupyter notebook --no-browser --config=<ABSPATH_TO_CONFIG>/.jupyter/jupyter_notebook_config.py
Restart=always
RestartSec=10
SyslogIdentifier=jupyter-notebook
User=<USER NAME>
[Install]
WantedBy=multi-user.target
然后安装并运行该服务:
sudo systemctl enable jupyter.service
sudo systemctl start jupyter.service
sudo systemctl status jupyter.service
远程连接jupyter
使用SSH隧道
在~/.bashrc
和~/.bash_profile
,如果是Mac OS则在~/.zshrc
添加:
function jllocal {
port=YOUR PORT
remote_username=USERNAME
remote_hostname=HOSTNAME
url="http://localhost:$port"
echo "Opening $url"
open "$url"
cmd="ssh -CNL localhost:"$port":localhost:"$port" $remote_username@$remote_hostname"
echo "Running '$cmd'"
eval "$cmd"
}
在本地机里直接运行jllocal
即可。
使用nginx反向代理
首先直接安装nginx:
sudo apt install nginx
我们需要把本地访问URL<YOUR DOMAIN NAME/IP>:<YOUR PORT>/jupyter
时重定向到远程服务器访问localhost:<YOUR_PORT>/jupyter
。
配置文件在:/etc/nginx
里,可以在conf.d
文件夹下新建jupyter.conf
,写入配置:
upstream notebook {
server localhost:<YOUR PORT>;
}
server{
listen 80;
server_name <YOUR DOMAIN NAME/IP>;
location /jupyter {
proxy_pass http://notebook;
proxy_set_header Host $host;
}
location ~ /jupyter/api/kernels/ {
proxy_pass http://notebook;
proxy_set_header Host $host;
# websocket support
proxy_http_version 1.1;
proxy_set_header Upgrade "websocket";
proxy_set_header Connection "Upgrade";
proxy_read_timeout 86400;
}
location ~ /jupyter/terminals/ {
proxy_pass http://notebook;
proxy_set_header Host $host;
# websocket support
proxy_http_version 1.1;
proxy_set_header Upgrade "websocket";
proxy_set_header Connection "Upgrade";
proxy_read_timeout 86400;
}
}
然后也需要修改jupyter的配置~/.jupyter/jupyter_notebook_config.py
:
# Local IP addresses (such as 127.0.0.1 and ::1) are allowed as local, along
# with hostnames configured in local_hostnames.
# Default: False
c.NotebookApp.allow_remote_access = True
## DEPRECATED use base_url
# Default: '/'
c.NotebookApp.base_project_url = '/jupyter/'
修改完配置之后重启两个服务:
sudo systemctl restart jupyter.service
sudo systemctl restart nginx.service
然后可以在本地浏览器里输入<YOUR DOMAIN NAME/IP>:<YOUR PORT>/jupyter
访问notebook server,第一次可能需要登录token。
如果把jupyter放到服务里运行的话,token可以从以下log里找到:
sudo systemctl status jupyter.service