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Variable ​

The Variable resource lets you manage AWS FraudDetector Variables which are crucial for defining and using customizable data inputs for fraud detection models.

Minimal Example ​

Create a basic FraudDetector variable with required properties and a common optional property.

ts
import AWS from "alchemy/aws/control";

const fraudVariable = await AWS.FraudDetector.Variable("userAgeVariable", {
  name: "userAge",
  dataType: "NUMERIC",
  defaultValue: "0",
  description: "Represents the age of the user",
  dataSource: "USER_DEFINED"
});

Advanced Configuration ​

Configure a variable with additional properties, including tags and variable type.

ts
const advancedVariable = await AWS.FraudDetector.Variable("transactionAmountVariable", {
  name: "transactionAmount",
  dataType: "NUMERIC",
  defaultValue: "0",
  description: "The amount of the transaction made by the user",
  dataSource: "USER_DEFINED",
  variableType: "EVENT",
  tags: [
    { key: "Environment", value: "Production" },
    { key: "Application", value: "PaymentGateway" }
  ]
});

Using Existing Resources ​

If you want to adopt an existing resource instead of failing if it already exists, you can set the adopt property to true.

ts
const adoptedVariable = await AWS.FraudDetector.Variable("existingTransactionVariable", {
  name: "existingTransaction",
  dataType: "NUMERIC",
  defaultValue: "100",
  dataSource: "USER_DEFINED",
  adopt: true
});

Detailed Variable for Fraud Detection ​

Create a detailed variable specifically for tracking user behavior in a fraud detection scenario.

ts
const userBehaviorVariable = await AWS.FraudDetector.Variable("userBehaviorVariable", {
  name: "userBehaviorScore",
  dataType: "NUMERIC",
  defaultValue: "0",
  description: "A score representing the user's behavior for fraud detection",
  dataSource: "USER_DEFINED",
  variableType: "EVENT",
  tags: [
    { key: "UserType", value: "Premium" },
    { key: "RiskLevel", value: "High" }
  ]
});