Rules Engine
Overview
The Rules Engine helps automate message processing using visual workflows composed of input sources, logic evaluations, and output destinations. Users can define rules by visually combining input, logic, and output nodes to determine how incoming messages are processed, evaluated, and responded to.
Features
- Create Rules: Define the name of a new rule and initiate creation.
- Quick Actions: View, copy ID, enable/disable, or delete a rule directly from the list.
- Input Nodes: Attach an MQTT subscriber input by selecting the channel and topic.
- Logic Nodes: Use either comparison blocks or Lua scripts to define logic conditions.
- Output Nodes: Output processed data to MQTT publishers, Email recipients, or PostgreSQL databases.
- Lua Script Integration: Use custom Lua scripts with a required
logicFunction()
for advanced logic. - Templated Messaging: Use
{{result}}
,{{result.key}}
, and{{message.key}}
to inject dynamic values into messages. - Scheduling: Define execution windows with start time, specific time, recurring intervals, and periods.
- Connection Layout: Visually connect all nodes to complete and activate a rule.
Use Cases
Here are some practical examples of how you can use the Rules Engine:
-
Temperature Alerts
: Notify users by email when temperature exceeds safe limits. -
Message Filtering
: Only forward messages with specific fields or values. -
Unit Conversion
: Convert sensor data from Celsius to Fahrenheit before publishing.
Create a Rule
Navigate to the Rules section and click on the + Create
button. Provide a name for your rule and click Create.
After creation, the rule appears in a list with the following details:
- Rule Name
- Status (Enabled/Disabled)
- Creation Date
Each rule entry also has quick actions for:
- Viewing the rule
- Copying the rule ID
- Enabling/Disabling the rule
- Deleting the rule
View a Rule
Click the rule name in the rules table to open the rule’s page.
On the rule page, you can configure the following:
1. Input Node
- Currently, only one input node is supported per rule.
-
Select MQTT Subscriber as the input type.
-
Choose the channel and topic to subscribe to.
-
The input node will appear in the layout.
2. Logic Node
After setting the input, you can define the logic of your rule using one of two options:
- Comparison Block
- Lua Script Editor
The logic nodes support different message payloads as inputs.
To utilize the message payload, you can use message.<key>
in the input. e.g., if your message is a single SenML message, you can do message.payload.v
to ge the value.
Comparison Block
Use if
, and
and or
conditions to evaluate message payloads:
We also support nested objects
message.<key>.<key>
e.g.,message.payload.sensor.temperature
.
For SenML message formats, you can have the following option of keys:
v
vs
vb
vd
s
Depending on the type of data you have you can compare the two by changing the type of the comparison value. It can either be Num
, Bool
or String
. The comparison block also supports multiple conditions using the and
or or
operator
Lua Script Editor
To write custom logic, you can select the editor option of the logic node.
This allows you to write Lua script code to process your message. Your Lua script should be wrapped in a function called logicFunction()
and return a result. The result can be a primitive value or an object.
The Lua script supports the utilization of the message
object that we subscribe to by using Lua tables to get any values in the message.
The editor allows you to return either a lua script table or a primitive value. Example:
function logicFunction()
local converted_temp = (message.payload.v * 1.8 + 32)
return {n = "Temp_fahrenheit", v = converted_temp, u = "°F", }
end
function logicFunction()
return (message.payload.v * 1.8 + 32)
end
2. Output Node
You can add one or more output nodes. The following nodes are supported:
- Channel publisher
- PostgreSQL
- alarm
- Magistrala DB
Channel Publisher
Enables you to specify the output channel and topic. The result of the logic node is published to this topic.
Select the Channel Publisher as the output node and enter the channel and topic.
Email
Send the result of message processing to specified email recipients.. Select the Email output node and enter the following information:
- Specify one or more recipient email addresses.
- Specify subject and body message.
Subject: Current Temperature
- Use dynamic template fields:
{{result}}
— the entire result from logic block{{result.key}}
— a specific field from the result{{message.key}}
— a field from the original message
Message: Current temperature in degrees celsius is {{message.payload.v}} {{message.payload.u}} while the temperature in degrees fahrenheit is {{result.value}} {{result.unit}}.
PostgreSQL
Store message processing results to your PostgreSQL database. Select the PostgreSQL output node option and enter the following information:
- Host
- Port
- Username
- Password
- Database name
- Table name
- Map data to table columns using templates
{
"channel" = "{{message.channel}}",
"value" = "{{result.value}}",
"unit" = "{{result.unit}}"
}
Magistrala DB
To be able to store messages in the internal Magistrala DB, you need to create a rule that processes the results. More information about this is in the Store Messages section.
Alarms
An alarm output will enable you to be able to generate alarms in the case where a threshold has been exceeded. More information about this node is provided in the Alarms section.
Dynamic Variables and Templates
You can inject dynamic values from your message or logic result using templating variables.
Available template variables:
Variable | Description |
---|---|
{{result}} | Entire object or primitive value returned from the logic node |
{{result.key}} | Specific field from the logic result object |
{{message.key}} | Field from the input message |
These variables work in outputs like:
-
Email (body)
-
PostgreSQL (column mapping)
Current temperature is {{message.payload.v}}°C or ({{result.value}}°F).
{
channel = "{{message.channel}}",
value = "{{result.value}}",
unit = "{{result.unit}}"
}
Connecting Nodes and Save
Once you've added the input, logic, and output nodes, connect them visually in the layout. Click Save to finalize the rule.
Enable or Disable Rules
To enable or disable a rule:
-
Use the toggle at the top right of the rule page.
-
You can also enable/disable directly from the rule list using the quick actions menu
Add a Scheduler
You can configure a scheduler to define when a rule executes.
Fields:
- Start Time: Date when the schedule becomes active
- Time: Time of day the rule should run
- Recurring Interval: Unit of recurrence (e.g., daily, hourly)
- Recurring Period: Frequency of execution (e.g., every 2 intervals = every other day/hour)
This helps automate rule execution based on custom schedules.
Store Messages
To store messages in Magistrala's internal database, you must create a Rule for this.
-
Magistrala only stores messages in SenML format.
-
You can submit data in any format(e.g, JSON), but must convert it to SenML using a Lua script. SenML format fields:
Name Label CBOR Label JSON Type XML Type Base Name bn -2 String string Base Time bt -3 Number double Base Unit bu -4 String string Base Value bv -5 Number double Base Sum bs -6 Number double Base Version bver -1 Number int Name n 0 String string Unit u 1 String string Value v 2 Number double String Value vs 3 String string Boolean Value vb 4 Boolean boolean Data Value vd 8 String (*) string (*) Sum s 5 Number double Time t 6 Number double Update Time ut 7 Number double
Example: Convert JSON to SenML
Assume your incoming payload is:
{
"temperature": 28.5,
"unit": "C",
"sensor": "room-1"
}
Use the following Lua script to convert it:
function logicFunction()
return {
n = message.payload.sensor,
v = message.payload.temperature,
t = os.time()
}
end
This returns a valid SenML message the internal DB will accept.
Then set your output node to store this result using the Magistrala internal DB option.
Example: Input is SenML
If your message payload is already SenML format, you can just return the message payload directly in your Lua script function:
function logicFunction()
return message.payload
end
With the Rules Engine, users can easily automate data processing pipelines in a powerful and visual way by combining inputs, logical conditions, and flexible outputs.