@educational-technology-collective/etc_jupyterlab_telemetry_library
v2.1.8
Published
A JupyterLab extension.
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ETC JupyterLab Telemetry Library
This extension provides a JupyterLab service, identified by the IETCJupyterLabTelemetryLibraryFactory
token, that can be used to construct a ETCJupyterLabTelemetryLibrary
instance that exposes Signals associated with user actions in the Notebook.
The IETCJupyterLabTelemetryLibraryFactory
Token represents a service that can be consumed by a JupyterLab plugin similar to how core services are consumed by plugins: Core Tokens. See the Usage section for instructions on how to consume the service.
The ETCJupyterLabTelemetryLibrary service contains Signals grouped according to their functionality. For example in order to console.log
the notebook_open
event, you would connect to the Signal like this:
etcJupyterLabTelemetryLibrary.notebookOpenEvent.notebookOpened.connect(
console.log
);
The following table provides the Signal Groups and their respective Signal(s).
| Signal Group | Signal(s) | | ----------------------- | ---------------------------------------------------------------------- | | notebookClipboardEvent | notebookClipboardCopied, notebookClipboardCut, notebookClipboardPasted | | notebookVisibilityEvent | notebookVisible, notebookHidden | | notebookCloseEvent | notebookClosed | | notebookOpenEvent | notebookOpened | | notebookSaveEvent | notebookSaved | | notebookScrollEvent | notebookScrolled | | activeCellChangeEvent | activeCellChanged | | cellAddEvent | cellAdded | | cellRemoveEvent | cellRemoved | | cellExecutionEvent | cellExecuted | | cellErrorEvent | cellErrored |
A plugin that consumes this plugin can attach a handler to the Signal(s) of each Signal Group in order to log the event message.
Events
Each event message (i.e., the message emitted by the Signal) contains a list of cells relevant to that event. See the Relevant Cells section for details.
Event Message Schema
Each event message will contain the name of the event, a list of cells that are relevant to the event, and a reference to the NotebookPanel that emitted the event.
Each event message conforms to the following JSON schema.
TO DO
Relevant Cells
For each event message, in addition to reference to the complete NotebookPanel, which contains the full contents of each cell, the top level cells
property in the message will contain the cells relevant to the event.
| Signal(s) | Relevant Cells | | ---------------------------------------------------------------------- | ---------------| | notebookClipboardCopied, notebookClipboardCut, notebookClipboardPasted | The cell list contains the ID of the active cell. | | notebookVisible, notebookHidden | The cell list contains the IDs of the cells that are visible to the user. | | notebookClosed | The cell list contains the IDs of all the cells in the notebook. | | notebookOpened | The cell list contains the IDs of all the cells in the notebook. | | notebookSaved | The cell list contains active or selected cell. | | notebookScrolled | The cell list contains the IDs of the cells that are visible to the user. | | activeCellChanged | The cell list contains the ID of the active cell. | | cellAdded | The cell list contains the IDs of the added cells. | | cellRemoved | The cell list contains the IDs of the removed cells. | | cellExecuted | The cell list contains the ID of the executed cell. | | cellErrored | The cell list contains the ID of the cell that produced the error. |
Usage
Install the extension according to the installation instructions.
Once the extension is installed a plugin can consume the service by including it in its requires
list. See the below code for an example.
The extension provides a service identified by the IETCJupyterLabTelemetryLibraryFactory
token. In the following example, the consumer
plugin consumes the Token provided by the etc_jupyterlab_telemetry_library
extension. The ETCJupyterLabTelemetryLibraryFactory
is used in order to instantiate a ETCJupyterLabTelemetryLibrary
for each NotebookPanel. Each ETCJupyterLabTelemetryLibrary
instance contains grouped Signals that are connected to the console.log
method, which will log the events to the console.
The Signals can be connected to any handler that you choose. The content of the messages can be filtered according to your needs.
const plugin: JupyterFrontEndPlugin<void> = {
id: PLUGIN_ID,
autoStart: true,
requires: [INotebookTracker, IETCJupyterLabTelemetryLibraryFactory],
activate: (
app: JupyterFrontEnd,
notebookTracker: INotebookTracker,
etcJupyterLabTelemetryLibraryFactory: IETCJupyterLabTelemetryLibraryFactory
) => {
(async () => {
const VERSION = (await requestAPI) < string > 'version';
console.log(`${PLUGIN_ID}, ${VERSION}`);
await app.started;
try {
notebookTracker.widgetAdded.connect(
(sender: INotebookTracker, notebookPanel: NotebookPanel) => {
// Handlers must be attached immediately in order to detect early events, hence we do not want to await the appearance of the Notebook.
let etcJupyterLabTelemetryLibrary =
etcJupyterLabTelemetryLibraryFactory.create({ notebookPanel });
etcJupyterLabTelemetryLibrary.notebookClipboardEvent.notebookClipboardCopied.connect(
console.log
);
etcJupyterLabTelemetryLibrary.notebookClipboardEvent.notebookClipboardCut.connect(
console.log
);
etcJupyterLabTelemetryLibrary.notebookClipboardEvent.notebookClipboardPasted.connect(
console.log
);
etcJupyterLabTelemetryLibrary.notebookVisibilityEvent.notebookVisible.connect(
console.log
);
etcJupyterLabTelemetryLibrary.notebookVisibilityEvent.notebookHidden.connect(
console.log
);
etcJupyterLabTelemetryLibrary.notebookOpenEvent.notebookOpened.connect(
console.log
);
etcJupyterLabTelemetryLibrary.notebookCloseEvent.notebookClosed.connect(
console.log
);
etcJupyterLabTelemetryLibrary.notebookSaveEvent.notebookSaved.connect(
console.log
);
etcJupyterLabTelemetryLibrary.notebookScrollEvent.notebookScrolled.connect(
console.log
);
etcJupyterLabTelemetryLibrary.activeCellChangeEvent.activeCellChanged.connect(
console.log
);
etcJupyterLabTelemetryLibrary.cellAddEvent.cellAdded.connect(
console.log
);
etcJupyterLabTelemetryLibrary.cellRemoveEvent.cellRemoved.connect(
console.log
);
etcJupyterLabTelemetryLibrary.cellExecutionEvent.cellExecuted.connect(
console.log
);
etcJupyterLabTelemetryLibrary.cellErrorEvent.cellErrored.connect(
console.log
);
}
);
} catch (e) {
console.error(e);
}
})();
}
};
Configuration
The extension requires a configuration file that specifies which Signal groups will emit events.
The configuration file may be placed in any of the Jupyter Server configuration directories e.g., /etc/jupyter
. Execute jupyter --paths
in order to get a list of valid configuration directories. The configuration file must be named jupyter_etc_jupyterlab_telemetry_coursera_config.py
.
This is an example of a valid configuration file:
c.ETCJupyterLabTelemetryLibraryApp.notebook_clipboard_event = True
c.ETCJupyterLabTelemetryLibraryApp.notebook_visibility_event = True
c.ETCJupyterLabTelemetryLibraryApp.notebook_save_event = True
c.ETCJupyterLabTelemetryLibraryApp.notebook_close_event = True
c.ETCJupyterLabTelemetryLibraryApp.notebook_open_event = True
c.ETCJupyterLabTelemetryLibraryApp.notebook_cell_remove_event = True
c.ETCJupyterLabTelemetryLibraryApp.notebook_cell_add_event = True
c.ETCJupyterLabTelemetryLibraryApp.notebook_cell_execution_event = True
c.ETCJupyterLabTelemetryLibraryApp.notebook_scroll_event = True
c.ETCJupyterLabTelemetryLibraryApp.notebook_active_cell_change_event = True
c.ETCJupyterLabTelemetryLibraryApp.notebook_cell_error_event = True
An Signal group can be enable or disabled by setting the respective property to True
or False
. This setting will enable or disable all of the Signals in the respective group. The change will take effect each time JupyterLab is started.
Requirements
- JupyterLab >= 3.0
Install
To install the extension, execute:
pip install etc_jupyterlab_telemetry_library
Uninstall
To remove the extension, execute:
pip uninstall etc_jupyterlab_telemetry_library
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_library 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_library
# 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_library
pip uninstall etc_jupyterlab_telemetry_library
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_library
within that folder.
Packaging the extension
See RELEASE