Add a Fraud Analyzer
Workarea provides a default fraud analyzer which will make no decision of the fraudulence of an order. This analyzer will return a
no decision by default and is meant to be placeholder until retailer specific rules can be put into place.
Fraud decisions are made before payment is collected, meaning no payment actions will be taken if the order is found to be fraudulent. Orders deemed fraudulent are not able to be placed.
Each order will have an embedded document
fraud_decision after the analyzer runs. This document holds
Create a custom analyzer class
Create a new fraud analyzer class to add custom fraud rules to your application. Workarea uses the No Decision analyzer by default located at
Workarea::Checkout::Fraud::NoDecisionAnalyzer. It is recommended that you create a new class to check for fraud rather than decorate the existing no decision analyzer.
Consider the following example fraud check: Decline any order greater than $1,000.00 and whose products are all digital.
This could be accomplished by adding the following class:
#app/models/workarea/checkout/fraud/custom_analyzer.rb module Workarea class Checkout module Fraud class CustomAnalyzer < Analyzer def make_decision if order.total_price > 1000.to_m && order.items.none?(&:shipping?) Workarea::Order::FraudDecision.new( decision: :declined, message: "Order exceeds price limit for an all digital cart contents" ) else Workarea::Order::FraudDecision.new( decision: :approved, message: "Fraud checks passed" ) end end end end end end
Fraud analyzers must conform to the following:
- Inherit from
- Return an instance of
- Respond to
External API calls to a third party fraud service should be called in this class. The
FraudDecision class has a field
response which can store the response received back from the API, this is useful for debugging and reporting purposes.
The configuration will now need to be updated to make use of the new custom fraud analyzer. Simply update the
fraud_analyzer configuration value in your host application.
config.fraud_analyzer = 'Workarea::Checkout::Fraud::CustomAnalyzer'
It is encouraged that you write the relevant system and unit tests to ensure that your fraud analyzer is functioning as expected.
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