A Jupyter extension to support drives in the backend.
This extension is composed of a Python package named jupyter_drives
for the server extension and a NPM package named @jupyter/drives
for the frontend extension.
- JupyterLab >= 4.0.0
To install the extension, execute:
pip install jupyter_drives
To begin using the extension and gain access to your drives, you need to configure your user credentials generated by the provider (e.g.: access_key
, secret-access-key
and if applicable session_token
).
For those working with S3
drives using the AWS
CLI, the credentials will be automatically extracted from ~/.aws/credentials
. There is nothing that needs to be done on your side.
Note: This is only applicable for Linux or macOS
AWS
CLI users. In case you are using theAWS
CLI from Windows, you can use the custom file path configuration withC:\Users\USERNAME\.aws\credentials
. You can read more about this here.
Otherwise, you can add your credentials to the server configuration file. Create a jupyter_notebook_config.py
file in one of the
Jupyter config directories,
for example: ~/.jupyter/jupyter_notebook_config.py
, and specify your long-term or short-term credentials.
c = get_config()
c.DrivesConfig.access_key_id = "<AWS Access Key ID / IAM Access Key ID>"
c.DrivesConfig.secret_access_key = "<AWS Secret Access Key / IAM Secret>"
c.DrivesConfig.session_token = "<AWS Session Token / IAM Session Token>"
You can also just specify the location of a local file which contains your credentials. The acccess_key
, secret_access_key
and if applicable the session_token
will be automatically extracted from there.
c = get_config()
c.DrivesConfig.custom_credentials_path = "path/to/file/containing/credentials"
To remove the extension, execute:
pip uninstall jupyter_drives
If you are seeing the frontend extension, but it is not working, check that the server extension is enabled:
jupyter server extension list
If the server extension is installed and enabled, but you are not seeing the frontend extension, check the frontend extension is installed:
jupyter labextension list
Note: You will need NodeJS to build the extension package.
The jlpm
command is JupyterLab's pinned version of
yarn that is installed with JupyterLab. You may use
yarn
or npm
in lieu of jlpm
below.
# Clone the repo to your local environment
# Change directory to the jupyter_drives directory
# Install package in development mode
pip install -e ".[test]"
# Link your development version of the extension with JupyterLab
jupyter labextension develop . --overwrite
# Server extension must be manually installed in develop mode
jupyter server extension enable jupyter_drives
# Rebuild extension Typescript source after making changes
jlpm build
You can watch the source directory and run JupyterLab at the same time in different terminals to watch for changes in the extension's source and automatically rebuild the extension.
# Watch the source directory in one terminal, automatically rebuilding when needed
jlpm watch
# Run JupyterLab in another terminal
jupyter lab
With the watch command running, every saved change will immediately be built locally and available in your running JupyterLab. Refresh JupyterLab to load the change in your browser (you may need to wait several seconds for the extension to be rebuilt).
By default, the jlpm build
command generates the source maps for this extension to make it easier to debug using the browser dev tools. To also generate source maps for the JupyterLab core extensions, you can run the following command:
jupyter lab build --minimize=False
# Server extension must be manually disabled in develop mode
jupyter server extension disable jupyter_drives
pip uninstall jupyter_drives
In development mode, you will also need to remove the symlink created by jupyter labextension develop
command. To find its location, you can run jupyter labextension list
to figure out where the labextensions
folder is located. Then you can remove the symlink named @jupyter/drives
within that folder.
This extension is using Pytest for Python code testing.
Install test dependencies (needed only once):
pip install -e ".[test]"
# Each time you install the Python package, you need to restore the front-end extension link
jupyter labextension develop . --overwrite
To execute them, run:
pytest -vv -r ap --cov jupyter_drives
This extension is using Jest for JavaScript code testing.
To execute them, execute:
jlpm
jlpm test
This extension uses Playwright for the integration tests (aka user level tests). More precisely, the JupyterLab helper Galata is used to handle testing the extension in JupyterLab.
More information are provided within the ui-tests README.
See RELEASE