This quickstart consists of one microservice:
jupyter: Runs Jupyter IPython notebook with scipy (and other data analysis libraries) installed for building, analysing and visualising models interactively.
Follow along below to get the setup working on your cluster.
- Ensure that you have the hasura cli tool installed on your system.
$ hasura version
Once you have installed the hasura cli tool, login to your Hasura account
$ # Login if you haven't already
$ hasura login
- You should also have git installed.
$ git --version
$ # Run the quickstart command to get the project
$ hasura quickstart hasura/scipy-jupyter-notebook
$ # Navigate into the Project
$ cd scipy-jupyter-notebook
$ # Ensure that you are in the scipy-jupyter-notebook directory
$ # Git add, commit & push to deploy to your cluster
$ git add .
$ git commit -m 'First commit'
$ git push hasura master
Once the above commands complete successfully, your cluster will have jupyter
service running. To get their URLs
$ # Run this in the scipy-jupyter-notebook directory
$ hasura microservice list
• Getting microservices...
• Custom microservices:
NAME STATUS INTERNAL-URL EXTERNAL-URL
jupyter Running jupyter.default http://jupyter.boomerang68.hasura-app.io
• Hasura microservices:
NAME STATUS INTERNAL-URL EXTERNAL-URL
auth Running auth.hasura http://auth.boomerang68.hasura-app.io
data Running data.hasura http://data.boomerang68.hasura-app.io
filestore Running filestore.hasura http://filestore.boomerang68.hasura-app.io
gateway Running gateway.hasura
le-agent Running le-agent.hasura
notify Running notify.hasura http://notify.boomerang68.hasura-app.io
platform-sync Running platform-sync.hasura
postgres Running postgres.hasura
session-redis Running session-redis.hasura
sshd Running sshd.hasura
You can access the services at the EXTERNAL-URL
for the respective service.
Head over to the EXTERNAL-URL of your jupyter
service.
$ # Run this in the scipy-jupyter-notebook directory
$ hasura ms logs jupyter
Copy the authentication token from the logs and enter it in the jupyter UI above.
Executing the command: jupyter notebook
[I 07:14:46.914 NotebookApp] Writing notebook server cookie secret to /home/jovyan/.local/share/jupyter/runtime/notebook_cookie_secret
[W 07:14:47.379 NotebookApp] WARNING: The notebook server is listening on all IP addresses and not using encryption. This is not recommended.
[I 07:14:47.428 NotebookApp] JupyterLab alpha preview extension loaded from /opt/conda/lib/python3.6/site-packages/jupyterlab
[I 07:14:47.428 NotebookApp] JupyterLab application directory is /opt/conda/share/jupyter/lab
[I 07:14:47.434 NotebookApp] Serving notebooks from local directory: /home/jovyan
[I 07:14:47.434 NotebookApp] 0 active kernels
[I 07:14:47.434 NotebookApp] The Jupyter Notebook is running at:
[I 07:14:47.434 NotebookApp] http://[all ip addresses on your system]:8888/?token=cd596a9b5e90a83283e4c9d6b792b4a58cac38e06153fd12
[I 07:14:47.434 NotebookApp] Use Control-C to stop this server and shut down all kernels (twice to skip confirmation).
[C 07:14:47.435 NotebookApp]
Copy/paste this URL into your browser when you connect for the first time,
to login with a token:
http://localhost:8888/?token=cd596a9b5e90a83283e4c9d6b792b4a58cac38e06153fd12
Start creating notebooks and showcase your work to the world!