etc-jupyterlab-telemetry-coursera 4.0.0

A JupyterLab extension.

ETC JupyterLab Telemetry Coursera

A JupyterLab telemetry extension that logs telemetry events to a AWS S3 Bucket.

Requirements

• JupyterLab >= 3.0

Dependencies

ETC JupyterLab Telemetry Library (etc-jupyterlab-telemetry-library)

This extension requires the ETC JupyterLab Telemetry Library. The ETC JupyterLab Telemetry Library provides the JupyterLab events that are consumed by this extension.

ETC JupyterLab Notebook State Provider (etc-jupyterlab-notebook-state-provider)

This extension will use the ETC JupyterLab Notebook State Provider in order to produce diffs of the Notebooks that it receives from the ETC JupyterLab Telemetry Library. This extension will log the diffs of the Notebooks as opposed the entire Notebook.

Configuration

The AWS endpoint that is used for storing telemetry data is configurable. The configuration file must contain the URL, the name of the S3 bucket, and the path where the telemetry objects will be saved. The configuration file should be placed in one of the config directories given by jupyter --paths. It must be named etc_jupyterlab_telemetry_coursera.json.

This is an example of a valid JSON configuration file:

{
  "url": "https://the-aws-endpoint.com",
  "bucket": "the-name-of-the-bucket",
  "path": "the/path"
}

Install

To install the extension:

pip install etc-jupyterlab-telemetry-coursera

Uninstall

To remove the extension, execute:

pip uninstall etc-jupyterlab-telemetry-coursera

Troubleshoot

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

Contributing

Development install

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 etc_jupyterlab_telemetry_coursera directory
# Install package in development mode
pip install -e .
# 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 etc_jupyterlab_telemetry_coursera
# Rebuild extension Typescript source after making changes
jlpm run 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 run 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 run 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

Development uninstall

# Server extension must be manually disabled in develop mode
jupyter server extension disable etc_jupyterlab_telemetry_coursera
pip uninstall etc_jupyterlab_telemetry_coursera

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 @educational-technology-collective/etc_jupyterlab_telemetry_coursera within that folder.