Node-RED: Dashboard Notifications and Rate Limiting

This post builds upon the dashboard we built in the last post. In particular we will:

1. Simplify the dashboard flow using a Function node
2. Alert the user when specific conditions are met
3. Examine the source code for the final dashboard

Simplify Using Function Nodes
The previous version of the dashboard included three Change nodes...

The purpose of those nodes was to extract the temperature, humidity, and barometric pressure from the incoming JSON message. The reason we did that was because the Chart and Gauge nodes required that the payload hold only a single value, the value that will be charted.

The Function node will allow us to extract those three values in one step!

Start by adding a new Function node to the "MQTT Dashboard" workspace, name it "Extract Values", set the number of outputs to 3, and enter the following code for the Function node's umm... Function field:

return [
    {payload: msg.payload.temperature}, 
    {payload: msg.payload.humidity},
    {payload: msg.payload["barometric-pressure"]}
];

What this code does is to return an array of objects, each one of which contains a single property, "payload", which has been set to the temperature, humidity, and pressure found in the incoming message.

By giving the Function node three output ports, we are sending each value in that array out into those three ports. Which output goes to each port? The output ports will be arranged top to bottom on the right side of the node, with temperature going to the topmost port, humidity to the middle port, and pressure to the bottom. To make this easier to see, we can even give labels to the output ports, as shown:

Now, remove the three Change nodes, drag the new Function node into place, and wire everything up like this:

Deploy the dashboard, view it at http://127.0.0.1:1880/ui, and it should be working fine!

Dashboard Notifications
Next, let us add some notifications within the dashboard. We want to alert the user when the temperature climbs above 80 °F. In particular, we will show a "toast" popup, and even use text-to-speech to announce that the temperature is above that value.

Now sensor readings are coming in once every second. So if we just did this, the user would be notified once every second - not a good user experience! What we must do is limit the rate that these notifications are sent, without changing the rate at which data is arriving. Node-RED has this functionality ready for our use, in Delay node, which is found in the "function" section of the palette.

Drag into the workspace one of each of the following nodes: Switch, Delay, Notification, Change, and Audio Out. The Notification and Audio Out nodes are found in the "dashboard" section. Set their properties as follows:

Node Type	Property	Value
Switch
	Name:	Check Temperature
	Property:	msg.payload
	Condition:	> 80
Delay
	Action:	Rate Limit
	Rate:	1 msg(s) per
	Interval:	1 Minute
	Drop Intermediate Messages:	Checked
Notification
	Layout:	Top Right
	Timeout (S):	3
	Topic:	Temperature is Above 80 °F
Change
	Action:	Set
	Object:	msg.payload
	To:	Temperature is above 80 degrees!
Audio Out
	Group:	Temperature [Living Room Data]
	TTS Voice:	Alex (en-US)

Note that for the Notification node's topic, it is necessary to enter the degree (°) symbol directly - using the HTML escape sequence will not work!

Finally, wire up components as follows:

An easy way to test this is to (believe it or not) breathe on the BME280. Once the temperature gets sufficiently high, the "toast" popup will be displayed in the top-right corner, and the audio message will be played!

Dashboard Source Code
Here's the source code for the dashboard flow. There are no changes to the MQTT Subscriber, and that code can be found in the previous post.

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[ { "id": "492fdf69.9cb38", "type": "link in", "z": "49d20fae.01266", "name": "From Subscriber", "links": [ "3a476f0b.d6bea" ], "x": 195, "y": 220, "wires": [ [ "14f7f237.a4b53e", "cf06c435.a31528" ] ] }, { "id": "14f7f237.a4b53e", "type": "debug", "z": "49d20fae.01266", "name": "", "active": false, "console": "false", "complete": "true", "x": 330, "y": 160, "wires": [] }, { "id": "6b80f3f4.1fdb4c", "type": "ui_gauge", "z": "49d20fae.01266", "name": "Humidity Gauge", "group": "f468b186.a264b", "order": 0, "width": 0, "height": 0, "gtype": "gage", "title": "", "label": "%", "format": "{{value}}", "min": 0, "max": "100", "colors": [ "#00b500", "#e6e600", "#ca3838" ], "seg1": "", "seg2": "", "x": 620, "y": 260, "wires": [] }, { "id": "62dd2ada.5449a4", "type": "ui_chart", "z": "49d20fae.01266", "name": "Temperature Chart", "group": "637855dc.2229bc", "order": 0, "width": 0, "height": 0, "label": "", "chartType": "line", "legend": "false", "xformat": "HH:mm:ss", "interpolate": "linear", "nodata": "", "dot": false, "ymin": "", "ymax": "", "removeOlder": "5", "removeOlderPoints": "", "removeOlderUnit": "60", "cutout": 0, "useOneColor": false, "colors": [ "#1f77b4", "#aec7e8", "#ff7f0e", "#2ca02c", "#98df8a", "#d62728", "#ff9896", "#9467bd", "#c5b0d5" ], "useOldStyle": false, "x": 630, "y": 140, "wires": [ [], [] ] }, { "id": "4075ff77.21db8", "type": "ui_chart", "z": "49d20fae.01266", "name": "Pressure Chart", "group": "9728196c.705ff8", "order": 0, "width": 0, "height": 0, "label": "", "chartType": "line", "legend": "false", "xformat": "HH:mm:ss", "interpolate": "linear", "nodata": "", "dot": false, "ymin": "", "ymax": "", "removeOlder": "5", "removeOlderPoints": "", "removeOlderUnit": "60", "cutout": 0, "useOneColor": false, "colors": [ "#1f77b4", "#aec7e8", "#ff7f0e", "#2ca02c", "#98df8a", "#d62728", "#ff9896", "#9467bd", "#c5b0d5" ], "useOldStyle": false, "x": 620, "y": 380, "wires": [ [], [] ] }, { "id": "df80eb36.2bf648", "type": "ui_text", "z": "49d20fae.01266", "group": "637855dc.2229bc", "order": 0, "width": 0, "height": 0, "name": "Temperature Text", "label": "Temperature: ", "format": "{{msg.payload}} °F", "layout": "row-left", "x": 630, "y": 200, "wires": [] }, { "id": "51d9d859.dc84c8", "type": "ui_text", "z": "49d20fae.01266", "group": "f468b186.a264b", "order": 0, "width": 0, "height": 0, "name": "Humidity Text", "label": "Humidity: ", "format": "{{msg.payload}} %", "layout": "row-left", "x": 620, "y": 320, "wires": [] }, { "id": "919809c4.84ef18", "type": "ui_text", "z": "49d20fae.01266", "group": "9728196c.705ff8", "order": 0, "width": 0, "height": 0, "name": "Pressure Text", "label": "Barometric Pressure:", "format": "{{msg.payload}} InHg", "layout": "row-left", "x": 620, "y": 440, "wires": [] }, { "id": "d29db2b5.f8ddb", "type": "delay", "z": "49d20fae.01266", "name": "", "pauseType": "rate", "timeout": "5", "timeoutUnits": "seconds", "rate": "1", "nbRateUnits": "1", "rateUnits": "minute", "randomFirst": "1", "randomLast": "5", "randomUnits": "seconds", "drop": true, "x": 840, "y": 60, "wires": [ [ "6e7140a1.07b05", "1e27bbe.febf544" ] ] }, { "id": "6e7140a1.07b05", "type": "ui_toast", "z": "49d20fae.01266", "position": "top right", "displayTime": "3", "highlight": "", "outputs": 0, "ok": "OK", "cancel": "", "topic": "Temperature is Above 80 °F", "name": "", "x": 1070, "y": 40, "wires": [] }, { "id": "bb4a13de.4faaa", "type": "switch", "z": "49d20fae.01266", "name": "Check Temperature", "property": "payload", "propertyType": "msg", "rules": [ { "t": "gt", "v": "80", "vt": "num" } ], "checkall": "true", "outputs": 1, "x": 630, "y": 60, "wires": [ [ "d29db2b5.f8ddb" ] ] }, { "id": "3f251d1e.167872", "type": "ui_audio", "z": "49d20fae.01266", "name": "", "group": "637855dc.2229bc", "voice": "en-US", "always": false, "x": 1040, "y": 180, "wires": [] }, { "id": "1e27bbe.febf544", "type": "change", "z": "49d20fae.01266", "name": "", "rules": [ { "t": "set", "p": "payload", "pt": "msg", "to": "Temperature is above 80 degrees!", "tot": "str" } ], "action": "", "property": "", "from": "", "to": "", "reg": false, "x": 1060, "y": 80, "wires": [ [ "3f251d1e.167872" ] ] }, { "id": "cf06c435.a31528", "type": "function", "z": "49d20fae.01266", "name": "Extract Values", "func": "return [\n {payload:msg.payload.temperature}, \n {payload:msg.payload.humidity},\n {payload:msg.payload[\"barometric-pressure\"]}\n];", "outputs": "3", "noerr": 0, "x": 360, "y": 280, "wires": [ [ "bb4a13de.4faaa", "62dd2ada.5449a4", "df80eb36.2bf648" ], [ "6b80f3f4.1fdb4c", "51d9d859.dc84c8" ], [ "4075ff77.21db8", "919809c4.84ef18" ] ], "outputLabels": [ "Temperature", "Humidity", "Barometric Pressure" ] }, { "id": "f468b186.a264b", "type": "ui_group", "z": "", "name": "Humidity", "tab": "d376d602.4e3538", "order": 2, "disp": true, "width": "6" }, { "id": "637855dc.2229bc", "type": "ui_group", "z": "", "name": "Temperature", "tab": "d376d602.4e3538", "order": 1, "disp": true, "width": "6" }, { "id": "9728196c.705ff8", "type": "ui_group", "z": "", "name": "Barometric Pressure", "tab": "d376d602.4e3538", "order": 3, "disp": true, "width": "6" }, { "id": "d376d602.4e3538", "type": "ui_tab", "z": "", "name": "Living Room Data", "icon": "dashboard", "order": 2 } ]

Node-RED: Displaying MQTT Data in a Dashboard

Last time on Patriot Geek, our intrepid blogger built a MQTT client in Node-RED. Can we now present the incoming data in a useful and attractive manner? Stay tuned!

To visualize the data being sent by the BME280, we will use the "node-red-dashboard" module, which adds various nodes that generate interactive dashboards. Here's the dashboard we'll be building:

This post is divided into the following sections:

1. Install the dashboard extension
2. Understand dashboard nomenclature
3. Design Overview
4. The MQTT Subscriber Flow
5. Create Dashboard Tabs and Groups
6. The Dashboard Flow
7. Test the Dashboard
8. Conclusions and Source Code

Installation
The Node-RED IDE can be extended in various ways, from adding a single new node to adding a family of new nodes as well as adding significantly to the user interface. That's what the Node-RED Dashboard module does: it adds 16 new nodes, a new sidecar tab, and makes other changes to the IDE.

To install, click the Menu Button and choose "Manage palette". In the property sheet that opens, click the "Install" tab. Do a search for "Dashboard", and scroll until you see the "node-red-dashboard" package, and click the "install" button, then click the red "Done" button. Note: there is no need to install the "node-red-dashboard-es" package.

Dashboard Nomenclature
The use of the word "Dashboard" in Node-RED is kind of confusing, because it is used in several ways:

• The module we just installed
• The sidebar tab
• The section of the palette, and the nodes inside it
• The UIs that are built with those nodes

In addition, there are two specific terms used to described the parts of the dashboards we build: "tab" and "group".

A tab is a top-level part of the dashboard, and every dashboard must have one. When a dashboard has more than one, a menu will be shown on the left side of the title bar. Each tab has one or more "groups", which are... groups of UI controls.

Here's a tab with three groups inside it:

Here's the menu showing the two available tabs:

Design Overview
We will implement the MQTT data dashboard using two workspace tabs: one called "MQTT Subscriber" which will be a flow similar to that in the previous blog post; the other called "MQTT Dashboard" which will be for the dashboard nodes.

This design approach follows the Model-View-Controller (MVC) design pattern. The dashboard user interface is a view, and the MQTT client is essentially a controller - it processes incoming events and passes data to the view.

How do we send messages from the controller tab over to the view tab? There are a pair of nodes for doing this: the Link Out node and the Link In node. These are found under the "output" and "input" sections of the palette, respectively.

The MQTT Subscriber Flow
Create two new tabs by pressing the New Tab button. Double click on the first, and set the name to be "MQTT Subscriber". Double click the second and name it "MQTT Dashboard". Click back on the "MQTT Subscriber" tab.

Again, the MQTT Subscriber flow is a modification of the one in the previous post - all we'll be doing is adding a Link Out node and removing the two Debug nodes. Here's what the final result will look like:

After deleting the two Debug nodes, add a new Link Out node, which is found in the "Input" section of the palette. Wire it as shown. Double click it and set the name to be "To Dashboard" and click "Done". For quick reference, here are the properties of all four nodes in this flow:

Node Type	Property	Value
MQTT In
	Server:	192.168.1.11:1883
	Topic:	home/living-room
	QoS:	0
CSV
	Columns:	temperature,humidity,barometric-pressure
	Name:	Parse CSV into JSON
Function
	Name:	Add Time Info
	Function:	1 2 3 4 var now = new Date(); msg.payload["timestamp"] = now.getTime(); msg.payload["fomratted-time"] = now.toUTCString(); return msg;
Link Out
	Name:	To Dashboard

Create the Dashboard's Tabs and Groups
Before drawing the view flow, set up the tabs and groups for the dashboard. We will have only one tab called "Living Room Data". Inside that tab will be three groups, called "Temperature", "Humidity", and "Barometric Pressure". Here's how this will look in the Layout subtab when we're done:

Click the dashboard sidebar tab, then choose "Layout" sub tab, and use the "+ tab" button to create the tab. Set the name to be "Living Room Data". This determines the text shown in the title bar of the dashboard.

Then, hover-over the tab and click the "+ group" button three times. Hover-over each and click the "edit" button and set the names to be "Temperature", "Humidity", and "Barometric Pressure". Make sure they're all under the "Living Room Data" tab.

Click the "Site" subtab, and set the web page's title to "MQTT Data". This will be shown in the browser title bar.

While we're here, click the Theme subtab, and set the style to be "Dark". Why? Because Dark UIs Matter:

The Dashboard Flow
Click the "MQTT Dashboard" tab so we can build the dashboard flow. On it, drop one Link In node, one Debug node, three Change nodes, two Chart nodes, one Gauge node, and three Text nodes. The Chart, Gauge, and Text nodes and found in the "dashboard" section of the palette, and the Link In node is found under the "Input" section. Wire them up as follows:

We want the Link In node to receive data from the Link Out node on the other tab. Double click the Link In node, and the name we set to the Link Out node ("To Dashboard") is listed there as a checkbox. Click that checkbox. Also, set the node's name to be "From Subscriber":

Click the Link In node. When it has been successfully connected to the Link Out in the other tab, it is displayed like this, but only when selected:

Double click the Debug node, and set the out to be "complete msg object"

Now, the Chart and Gauge nodes expect their input to be in a particular format: the input must be numeric and the incoming msg.payload must be set equal that numeric value. Trouble is, the data coming from the MQTT subscriber tab (via the Link In node) is a JSON object like this:

{
    "temperature": 71.55,
    "humidity": 41.46,
    "barometric-pressure": 29.73
}

That's the purpose of the three Change nodes, to extract the numeric values from msg.payload, and replace msg.payload with those values.

Double click the first Change node, and set the properties as follows:

Update the second Change node so that it uses msg.payload.humidity. Give it the name "Extract Humidity", and set msg.payload to be msg.payload.humidity.

Name the third Change node to be "Extract Pressure", and set msg.payload to be msg.payload["barometric-pressure"]. Note the different syntax here - "barometric-pressure" is a perfectly fine JSON field name, but it is an invalid JavaScript field name!

Notice the dichotomy between visual programming languages and most traditional languages: altering msg.payload in the first Change node only has consequences for the "downstream" nodes!

The Gauge node and the Chart nodes are now getting the right data!

Now we configure the charts and the gauge. Double click the Chart node that's attached to the "Extract Temperature" Change node, and set the properties as follows:

The Chart attached to the "Extract Pressure" Change node will be set in a similar fashion, except that it will be set to appear in the "Barometric Pressure [Living Room Data]" group, and the name will be "Pressure Chart".

For the Gauge node, set the properties as shown:

Note that range for the Humidity Gauge is set to be from 0 to 100. This is because humidity runs from 0% to 100%. It is also possible to preconfigure the y-axis range on the Chart nodes but the chart will draw values outside that range as a flat line.

Our last task is to configure the Text nodes. Set their properties as follows:

Node	Property	Value
Text node for Temperature
	Group:	Temperature [Living Room Data]
	Label:	Temperature:
	Value format:	{{msg.payload}} °F
	Layout:	"row-left"
	Name:	Temperature Text
Text node for Humidity
	Group:	Humidity [Living Room Data]
	Label:	Humidity:
	Value format:	{{msg.payload}} %
	Layout:	"row-left"
	Name:	Humidity Text
Text node for Pressure
	Group:	Barometric Pressure [Living Room Data]
	Label:	Barometric Pressure:
	Value format:	{{msg.payload}} InHg
	Layout:	"row-left"
	Name:	Pressure Text

Here's what the flow will now look like:

Test the Dashboard
To see the result of all this, be sure that the MQTT broker is running, and open a new browser window and go to:

http://127.0.0.1:1880/ui

Data will start appearing in the gauge and charts. If there's not a lot of variability in the data, try (get this) breathing on the BME280! Here's what the dashboard should look like:
 

It works on an iPhone 5c, too:

Conclusions and Source Code
This post demonstrated how to make a dashboard that displays MQTT data coming from the BME280 and ESP8266. Something else demonstrated was how to use two separate tabs for the application, one for the controller, the other for the user interface. This use of the Model-View-Controller (MVC) design pattern adds some clarity to our flows.

The source code for the modified MQTT Subscriber flow is as follows:

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[ { "id": "fdb325cd.8b5748", "type": "mqtt in", "z": "553bcc1e.c97b54", "name": "", "topic": "home/living-room", "qos": "0", "broker": "a481358c.031c18", "x": 128, "y": 218, "wires": [ [ "3c175b0f.97a134" ] ] }, { "id": "3c175b0f.97a134", "type": "csv", "z": "553bcc1e.c97b54", "name": "Parse CSV into JSON", "sep": ",", "hdrin": "", "hdrout": "", "multi": "one", "ret": "\\n", "temp": "temperature,humidity,barometric-pressure", "x": 340, "y": 218, "wires": [ [ "eae5505.8945fb" ] ] }, { "id": "eae5505.8945fb", "type": "function", "z": "553bcc1e.c97b54", "name": "Add Time Info", "func": "var now = new Date();\nmsg.payload[\"timestamp\"] = now.getTime();\nmsg.payload[\"fomratted-time\"] = now.toUTCString();\nreturn msg;", "outputs": 1, "noerr": 0, "x": 554, "y": 218, "wires": [ [ "3a476f0b.d6bea" ] ] }, { "id": "3a476f0b.d6bea", "type": "link out", "z": "553bcc1e.c97b54", "name": "To Dashboard", "links": [ "492fdf69.9cb38", "4e7d2e3c.c3427" ], "x": 684, "y": 218, "wires": [] }, { "id": "a481358c.031c18", "type": "mqtt-broker", "z": "", "broker": "192.168.1.11", "port": "1883", "clientid": "", "usetls": false, "compatmode": true, "keepalive": "60", "cleansession": true, "willTopic": "", "willQos": "0", "willPayload": "", "birthTopic": "", "birthQos": "0", "birthPayload": "" } ]

Notice how there is an extra node in the JSON that is not shown in the workspace - this is where info about the MQTT broker is stored. Nodes like this are called "configuration nodes".

And here's the source code for the Dashboard flow:

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[ { "id": "4e7d2e3c.c3427", "type": "link in", "z": "6fc2e4b5.acb35c", "name": "", "links": [ "3a476f0b.d6bea" ], "x": 55, "y": 140, "wires": [ [ "43a49c20.b2b534", "2d87fae4.e4c7b6", "ec5f8a6c.7cef28", "432ea3c2.6ca94c" ] ] }, { "id": "43a49c20.b2b534", "type": "debug", "z": "6fc2e4b5.acb35c", "name": "", "active": true, "console": "false", "complete": "true", "x": 210, "y": 40, "wires": [] }, { "id": "2d87fae4.e4c7b6", "type": "change", "z": "6fc2e4b5.acb35c", "name": "Extract Temperature", "rules": [ { "t": "set", "p": "payload", "pt": "msg", "to": "payload.temperature", "tot": "msg" } ], "action": "", "property": "", "from": "", "to": "", "reg": false, "x": 260, "y": 100, "wires": [ [ "5294196b.20d158", "d925dd10.68321" ] ] }, { "id": "ec5f8a6c.7cef28", "type": "change", "z": "6fc2e4b5.acb35c", "name": "Extract Humidity", "rules": [ { "t": "set", "p": "payload", "pt": "msg", "to": "payload.humidity", "tot": "msg" } ], "action": "", "property": "", "from": "", "to": "", "reg": false, "x": 250, "y": 200, "wires": [ [ "f65a9085.ae81", "78782f2d.880f1" ] ] }, { "id": "432ea3c2.6ca94c", "type": "change", "z": "6fc2e4b5.acb35c", "name": "Extract Pressure", "rules": [ { "t": "set", "p": "payload", "pt": "msg", "to": "payload[\"barometric-pressure\"]", "tot": "msg" } ], "action": "", "property": "", "from": "", "to": "", "reg": false, "x": 240, "y": 300, "wires": [ [ "ee70b8b0.828fc8", "c65aff2.f086b" ] ] }, { "id": "5294196b.20d158", "type": "ui_chart", "z": "6fc2e4b5.acb35c", "name": "Temperature Chart", "group": "637855dc.2229bc", "order": 0, "width": 0, "height": 0, "label": "", "chartType": "line", "legend": "false", "xformat": "HH:mm:ss", "interpolate": "linear", "nodata": "", "dot": false, "ymin": "", "ymax": "", "removeOlder": "5", "removeOlderPoints": "", "removeOlderUnit": "60", "cutout": 0, "useOneColor": false, "colors": [ "#1f77b4", "#aec7e8", "#ff7f0e", "#2ca02c", "#98df8a", "#d62728", "#ff9896", "#9467bd", "#c5b0d5" ], "useOldStyle": false, "x": 530, "y": 80, "wires": [ [], [] ] }, { "id": "ee70b8b0.828fc8", "type": "ui_chart", "z": "6fc2e4b5.acb35c", "name": "Pressure Chart", "group": "9728196c.705ff8", "order": 0, "width": 0, "height": 0, "label": "", "chartType": "line", "legend": "false", "xformat": "HH:mm:ss", "interpolate": "linear", "nodata": "", "dot": false, "ymin": "", "ymax": "", "removeOlder": "5", "removeOlderPoints": "", "removeOlderUnit": "60", "cutout": 0, "useOneColor": false, "colors": [ "#1f77b4", "#aec7e8", "#ff7f0e", "#2ca02c", "#98df8a", "#d62728", "#ff9896", "#9467bd", "#c5b0d5" ], "useOldStyle": false, "x": 520, "y": 280, "wires": [ [], [] ] }, { "id": "f65a9085.ae81", "type": "ui_gauge", "z": "6fc2e4b5.acb35c", "name": "Humidity Gauge", "group": "f468b186.a264b", "order": 0, "width": 0, "height": 0, "gtype": "gage", "title": "Gauge", "label": "%", "format": "{{value}}", "min": 0, "max": "100", "colors": [ "#00b500", "#e6e600", "#ca3838" ], "seg1": "", "seg2": "", "x": 520, "y": 180, "wires": [] }, { "id": "d925dd10.68321", "type": "ui_text", "z": "6fc2e4b5.acb35c", "group": "637855dc.2229bc", "order": 0, "width": 0, "height": 0, "name": "Temperature Text", "label": "Temperature:", "format": "{{msg.payload}} °F", "layout": "row-left", "x": 530, "y": 120, "wires": [] }, { "id": "78782f2d.880f1", "type": "ui_text", "z": "6fc2e4b5.acb35c", "group": "f468b186.a264b", "order": 0, "width": 0, "height": 0, "name": "Humidity Text", "label": "", "format": "{{msg.payload}} %", "layout": "row-left", "x": 520, "y": 220, "wires": [] }, { "id": "c65aff2.f086b", "type": "ui_text", "z": "6fc2e4b5.acb35c", "group": "9728196c.705ff8", "order": 0, "width": 0, "height": 0, "name": "Pressure Text", "label": "Barometric Pressure:", "format": "{{msg.payload}} InHg", "layout": "row-left", "x": 520, "y": 320, "wires": [] }, { "id": "637855dc.2229bc", "type": "ui_group", "z": "", "name": "Temperature", "tab": "d376d602.4e3538", "order": 1, "disp": true, "width": "6" }, { "id": "9728196c.705ff8", "type": "ui_group", "z": "", "name": "Barometric Pressure", "tab": "d376d602.4e3538", "order": 3, "disp": true, "width": "6" }, { "id": "f468b186.a264b", "type": "ui_group", "z": "", "name": "Humidity", "tab": "d376d602.4e3538", "order": 2, "disp": true, "width": "6" }, { "id": "d376d602.4e3538", "type": "ui_tab", "z": "", "name": "Living Room Data", "icon": "dashboard", "order": 2 } ]

Here, we have four extra configuration nodes: one for the tab and three for the groups.