Percentage based views for live floating point telemetry data.
Create a new object of type Gauge or Progress Bar. You can optionally choose a min and max-value of the expected telemetry. If none is chosen the default min and max values are based on normalized percentages (0-1). Edit the object and drag onto the object's view any telemetry objects that you wish to observe.
If you are using my OpenMCT Template simply clone this repo into ./plugins/openmct-gauge and add the following config to the server's package.json.
"plugins": {
+ "gauge": {
+ "client": "plugins/openmct-gauge/plugin.js"
+ }
},If you are using a different installation of OpenMCT, first, include the plugin.js file into the index.html and install it the traditional way.
<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0, maximum-scale=1.0, user-scalable=0, shrink-to-fit=no">
<meta name="apple-mobile-web-app-capable" content="yes">
<title><%= name %> - <%= version %></title>
<script src="openmct/openmct.js"></script>
<link rel="icon" type="image/png" href="openmct/favicons/favicon-96x96.png" sizes="96x96" type="image/x-icon">
<link rel="icon" type="image/png" href="openmct/favicons/favicon-32x32.png" sizes="32x32" type="image/x-icon">
<link rel="icon" type="image/png" href="openmct/favicons/favicon-16x16.png" sizes="16x16" type="image/x-icon">
<script src="static/lib/http.js"></script>
+ <script src="plugins/openmct-gauge/plugin.js"></script>
</head>
<body>
<script>
...
+ openmct.install(gauge());
openmct.start();
</script>
</body>