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Custom Translation in HTML Value Card

This recipe shows how to use custom translation keys inside an HTML Value Card widget. The i18n keys in the HTML template are automatically resolved to the user’s interface language.

  • A ThingsBoard PE instance with custom translation configured
  • A device sending temperature telemetry

Navigate to White labeling ⇾ Custom translation and add the following keys for the target language (e.g., German):

Term key English German Description
custom.devices.smart-device.name Smart Device Intelligentes Gerät Device name
custom.my-dashboard.title My Dashboard Mein Dashboard Dashboard title
custom.my-widget.telemetry-key.temperature Temperature Temperatur Telemetry key label
custom.my-widget.telemetry-value.low-temperature Low temperature Niedrigtemperatur Low temperature
custom.my-widget.telemetry-value.high-temperature High temperature Hochtemperatur High temperature
custom.my-widget.telemetry-value.normal-temperature Normal temperature Normaltemperatur Normal temperature
  1. Open the dashboard in edit mode and click Add widget.
  2. Select HTML Value Card from the Cards widgets bundle.
  3. Specify the device and temperature telemetry key as the data source.
  4. Go to the Appearance tab and paste the following HTML into the HTML field:
<script>
var description = document.getElementsByClassName('description')[0];
var temperature = ${temperature};
if(temperature>=25){
description.innerText = "{i18n:custom.my-widget.telemetry-value.high-temperature}";
}else if(temperature<=19){
description.innerText = "{i18n:custom.my-widget.telemetry-value.low-temperature}";
}else{
description.innerText = "{i18n:custom.my-widget.telemetry-value.normal-temperature}"
}
</script>
<div class='card'>
<div class='content'>
<div class='column'>
<h1>{i18n:custom.devices.smart-device.name}</h1>
<div class='value'>
{i18n:custom.my-widget.telemetry-key.temperature}: ${temperature:0} °C
</div>
<div class='description'>
</div>
</div>
</div>
</div>
  1. Click Add, then save the dashboard.

The card displays dynamic text based on the temperature value and the user’s language: