Integrate OpenVSCode-Server in your Jupyter environment for an fast, feature-rich and easy to use remote desktop in the browser.
- Python 3.6+
- Jupyter Notebook 6.0+
- JupyterLab >= 3.x
- jupyter-server-proxy >= 3.2.3
- OpenVSCode-server >= 1.97.0
This package executes the openvscode-server
command.
It tries to find the openvscode-server
executable checking the following:
-
- environment variable $OPENVSCODESERVER_BIN
-
<dir-of-__init__.py>/bin/openvscode-server
-
which openvscode-server
(searching standard $PATH)
-
- special locations:
/opt/openvscode-server/bin/openvscode-server
- special locations:
The jupyter-openvscodeserver-proxy can be configures via the following environment variables
-
JUPYTER_OPENVSCODE_PROXY_TIMEOUT
=<int>
, default = 60- Specifies how long jupyter-openvscodeserver-proxy shall wait for the OpenVSCode-Server to startup until it gives up.
-
JUPYTER_OPENVSCODE_PROXY_USE_SOCKET
='FALSE' | 'TRUE'
, default =FALSE
- Use unix sockets for highest security standards.
-
JUPYTER_OPENVSCODE_PROXY_DEBUG
='FALSE' | 'TRUE'
, default =FALSE
- Enable to print some log messages to stderr.
-
JUPYTER_OPENVSCODE_PROXY_DEFAULT_FOLDER
=<path>
, default = None- Specifies the directory that OpenVSCode will use as default folder.
-
JUPYTER_OPENVSCODE_PROXY_SERVER_DATA_DIR
=<path>
- Specifies the directory that server data is kept in. If not set the default is used.
-
JUPYTER_OPENVSCODE_PROXY_USER_DATA_DIR
=<path>
- Specifies the directory that user data is kept in. If not set the default is used.
-
JUPYTER_OPENVSCODE_PROXY_EXTENSIONS_DIR
=<path>
- Specifies the directory that extensions are kept in. If not set the default is used.
virtualenv -p python3 venv
source venv/bin/activate
pip install git+https://github.com/FZJ-JSC/jupyter-openvscodeserver-proxy.git
For Jupyter Classic, activate the jupyter-server-proxy extension:
jupyter serverextension enable --sys-prefix jupyter_server_proxy
For Jupyter Lab, install the @jupyterlab/server-proxy extension:
jupyter labextension install @jupyterlab/server-proxy
jupyter lab build
Click on the openvscode-server icon from the Jupyter Lab Launcher or the openvscode-server item from the New dropdown in Jupyter Classic.
Connect to your database as instructed in the Quickstart section.
This package calls openvscode-server
with a bunch of settings.
BSD 3-Clause