Renku notebooks

A simple service using the Amalthea operator to provide interactive Jupyter notebooks for the Renku platform.

The service relies on renku-gateway for authentication. However, anonymous users are supported as well in which case anyone can start and use sessions for public renku projects. Therefore, the notebook service can run even without having the renku-gateway installed or present. In this case only sessions for anonymous users can be launched.

Endpoints

The service defines endpoints to list the active sessions for a user, start or stop a session. It can also provide the logs of a running user session or information about work that was saved automatically if a user stops a session without committing and pushing all their work to their project repository.

The endpoints for the API will be defined in the swagger page of any Renku deployment. The swagger page is usually available at https://<domain-name>/swagger/?urls.primaryName=notebooks%20service.

Here you can look at the swagger page for the renkulab.io deployment and explore the endpoints in more detail.

Sequence diagram

Please note that the Notebook service does not execute kubectl commands from the shell against a kubernetes cluster. It uses the k8s client for Python. Simple shell kubectl commands are shown below for clarity. The notebook service uses the Python k8s client to execute the equivalent queries directly from Python without using the shell.

Please refer to the swagger page on the renkulab.io deployment for additional information on the format of the requests and responses from the API.

  sequenceDiagram
    participant User
    participant Notebooks
    participant k8s
    participant Gitlab
    participant Image Repo
    User->>+Notebooks: GET /servers/<server_name><br>GET /servers
    Notebooks->>k8s: `kubectl get jupyterservers`
    k8s->>Notebooks: <br>
    Notebooks->>-User: List of servers
    User->>+Notebooks: POST /servers<br>{project, commit_sha, image}
    Notebooks->>+Gitlab: Check that the project, commit sha exist
    Gitlab->>Notebooks: <br>
    Notebooks->>+Image Repo: Check that the image exists
    Image Repo->>Notebooks: <br>
    Notebooks->>+k8s: `kubectl create jupyterserver`
    k8s->>Notebooks: <br>
    Notebooks->>-User: Server information
    User->>+Notebooks: DELETE /servers/<server_name>
    Notebooks->>k8s: `kubectl delete jupyterserver`
    k8s->>Notebooks: <br>
    Notebooks->>-User: Delete confirmation
    User->>+Notebooks: GET /servers/server_options
    Notebooks->>-User: List of allowable server options
    User->>+Notebooks: GET /logs/<server_name>
    Notebooks->>k8s: `kubectl logs`
    k8s->>Notebooks: <br>
    Notebooks->>-User: Logs
    User->>+Notebooks: GET /images?image_url=<image_url>
    Notebooks->>+Image Repo: Check that the image exists
    Image Repo->>Notebooks: <br>
    Notebooks->>-User: Image exists

Loading

Usage

The best way to use renku-notebooks is as a part of a renku platform deployment. As described above using renku-notebooks without the other components in the renku platform will only allow the usage of anonymous sessions for public renku projects. This is a drawback because anonymous sessions do not allow users to save their work but rather to quickly test something out or explore what renku has to offer.

If used as a part of renku the notebook service receives all required user credentials from renku-gateway, another service in the renku platform. These credentials include information about the user and their git credentials. The notebook service then uses the git credentials to clone the user's repository, pull images from the registry if needed and sets up a proxy that handles and authenticates all git commands issued by the user in the session without asking the user to log in GitLab every time they launch a session.

Building images and charts

To build the images and render the chart locally, use chartpress. Install it with pip or use poetry install.

Development flow

You can run the notebook service locally in a few easy steps:

• install poetry
• run poetry install
• create a copy of example.config.hocon in the root of the repository called .config.hocon and fill in the required values
• if using VS code simply use the Flask configuration from .vscode/launch.json
• if not using VS code execute FLASK_APP=renku_notebooks/wsgi.py FLASK_ENV=development CONFIG_FILE=.config.hocon poetry run flask run --no-debugger -h localhost -p 8000

In addition to the above steps if you have a running Renku deployment you can use [telepresence] (https://www.telepresence.io/docs/latest/install/) to route traffic from a deployment to your development environment. After you have set up telepresence you can simply run the run-telepresence.sh script. This script will try to find a Renku Helm deployment in your current K8s context and active namespace. Then it will redirect all traffic for the notebooks service from the deployment to your local machine at port 8000. Combining telepresence with the steps above can be used to quickly test a notebook service in a full Renku deployment.