jupyter-code-api-server

A container with Jupyter and Jupyter Kernal Gateway to write python code and expose it as an HTTP API.

# build the container
docker build . -t jupyter-code-api-server

# run the container
docker run -p 5000:8080 -e LOCAL_DEV=yes jupyter-code-api-server 

or deploy to Hasura:

hasura connector create jupyter --github-repo-url https://github.com/hasura/jupyter-code-api-server/tree/main

Authentication

HTTP Basic authentication is configured by default. Username is hasura and password is hasurajupyter.

To override the password, create a file config.json with the following content:

{
  "password": "newpassword"
}

And then deploy the with

hasura connector create jupyter --github-repo-url https://github.com/hasura/jupyter-code-api-server/tree/main -c config.json

Usage

Visit the deployed app in a browser. Enter authentication credentials and a page with basic instructions will be shown.

Head to http(s)://<hostname>/jupyter for Jupyter notebook, password is hasurajupyter.

The container has server.ipynb packaged, which exposes a /hello_world endpoint.

Use Jupyter notebook to browse the code. Hit http(s)://<hostname>/process/start to start the server and then hit http(s)://<hostname>/invoke/hello_world to invoke the API.

More details on how to write APIs using Jupyter can be found here: https://jupyter-kernel-gateway.readthedocs.io/en/latest/http-mode.html

APIs exposed

• /jupyter: Jupyter notebook
• /invoke/<path> APIs exposed by Jupyter Kernel Gateway at <path>
• /process/start: start Jupyter Kernel Gateway
• /process/restart: restart Jupyter Kernel Gateway
• /process/stop: stop Jupyter Kernel Gateway

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Container packaging inspired by: http://ahmet.im/blog/cloud-run-multiple-processes-easy-way.