OpenTelemetry is an open-source project for collecting and processing telemetry data. It provides various SDKs for application-side telemetry data collection and reporting, as well as data collection side for data receiving, processing, and exporting. In this guide, we’ll explain how to use OpenTelemetry with Hugo, a Node.js module for controlling Philips Hue lights, to collect and process telemetry data related to your Hue lights.
Description
Hugo is a Node.js module for controlling Philips Hue lights. It provides an interface for interacting with your Hue bridge and bulbs. The latest version of Hugo is 0.0.3, and it was last published 11 years ago. You can install it by running npm i hugo. There is only one other project in the npm registry using Hugo.
Why Use OpenTelemetry with Hugo?
Using OpenTelemetry with Hugo can help you collect and process telemetry data related to your Hue lights. This data can be used for monitoring, troubleshooting, and gaining insights into the behavior of your Hue system. OpenTelemetry provides various backends for exporting the collected data, such as Jaeger, Zipkin, and OpenCensus.
Getting Started
To use OpenTelemetry with Hugo, you’ll first need to install both packages. You can install Hugo using npm i hugo, and OpenTelemetry using npm add @opentelemetry/api @opentelemetry/sdk-node.
Next, you’ll need to initialize OpenTelemetry in your Node.js script. Here’s an example:
const { NodeTracerProvider } = require('@opentelemetry/api');
const { SimpleConsoleReporter } = require('@opentelemetry/sdk-logs');
const { createTracer } = require('@opentelemetry/sdk');
const hugo = require('hugo');
const tracerProvider = new NodeTracerProvider({
reporter: new SimpleConsoleReporter(),
});
tracerProvider.register();
const tracer = createTracer('hue-control');
const bridge = hugo.Bridge('someuser', '192.168.x.x');
bridge.on('ready', () => {
const bulb = bridge.getBulb(1);
const colorTracer = tracer.startSpan('set_bulb_color');
bulb.setColor('red', 5, (err, res) => {
if (err) {
colorTracer.setStatus({ code: 500, message: err.message });
colorTracer.end();
throw err;
}
colorTracer.setStatus({ code: 200, message: 'Bulb color set to red' });
colorTracer.end();
console.log(res);
});
});
In this example, we’re initializing OpenTelemetry using NodeTracerProvider and SimpleConsoleReporter. We’re also creating a new tracer using createTracer. We’re then wrapping the call to hugo.Bridge with a new span using tracer.startSpan. This allows us to trace the call to hugo.Bridge and collect telemetry data related to it.
Creating a User
If you don’t already have a user for your Hue bridge, you can create one using the create-user script that comes with the Hugo package. Here’s how:
npm run create-user
This will prompt you to press the link button on the bridge. Once you’ve done that, it will print out the newly created user name. You can then set this user name as an environment variable or pass it to the Bridge constructor.
Debugging
If you want to see more debug output from OpenTelemetry, you can set the OT_TRACE_FLAG environment variable to --verbosity=debug. This will enable debug output for all OpenTelemetry modules.
