Number Labeler

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Description

The Number Labeler processor adds labels to numerical values based on user-defined rules. It supports:

• Value-based labeling
• Custom rule definition
• Multiple conditions
• Default labels
• Value comparison

This processor is essential for:

• Classifying measurements
• Adding context to data
• Identifying patterns
• Marking conditions

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Required input

The processor requires a data stream containing:

• A numerical value field to evaluate
• Timestamp information

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Configuration

Sensor Value

Select the numerical field to evaluate against the rules.

Label Name

Specify the name of the label field in the output event.

Condition

Add conditions in the format:

• <;5;low - Label as "low" if value is less than 5
• <;10;medium - Label as "medium" if value is less than 10
• *;high - Default label "high" for all other cases

Output

The processor creates a new event containing:

• All original fields from the input event
• A new label field based on the conditions

Example

Input Event

{
  "deviceId": "sensor01",
  "timestamp": 1586380104915,
  "temperature": 23.5
}

Configuration

• Sensor Value: temperature
• Label Name: temperature_status
• Condition: "<;20;cold", "<;30;warm", "*;hot"

Output Event

{
  "deviceId": "sensor01",
  "timestamp": 1586380104915,
  "temperature": 23.5,
  "temperature_status": "warm"
}

Use Cases

1. Data Classification

   • Classify measurements
   • Add context to data
   • Identify patterns
   • Mark conditions

2. Quality Control

   • Label quality levels
   • Mark thresholds
   • Identify issues
   • Track conditions

Notes

• Conditions are evaluated in order
• Default label is required
• Processing is stateless
• Multiple conditions supported