A walkthrough of this solution. https://www.youtube.com/watch?v=-CtjlUXEaKg
It is often the case that businesses have developed spreadsheet and macros which is requires manual and multiple levels of interaction. Automating these rules can be easily achieved with Red Hat Decision Manager but sometimes the design requires a level of control into how rules are applied.
Red Hat Decision Manager (DM) is at its best when used as an inference engine approach, however it also has levers that help with flow called ruleflows. RuleFlows within DM are represented in similar vein to BPMN diagrams but tasks will be rules. Since the DMN editor and engine has been brought into DM, DMN Rule tasks can now be used within these ruleflows.
3 Spreadsheet inputs have been mapped to form the knockout style rules. Knockout rules meaning only execute the logic thats needed before returning a result.
Test 1 Puchaser Type Test
| Purchaser Type | Land Tax |
|---|---|
| Individual - Permanent Resident or Citizen | Go to test 2 |
| Individual - Foreign | 4% |
| Company | 5% |
Test 2 Transaction type
| Transaction Type | Land Tax |
|---|---|
| Transfer between spouses, defacto or domestic partner | 0% |
| Principal Place of Residence | 1% |
| Investment | Go to Test 3 |
Test 3 Purchase Price
| Price | Land Tax |
|---|---|
| <500,000 | 2% |
| 500,000+ | 3% |
Mapping a ruleflow with DMN.
It provides a basic UI form to drive and invoke the call to the Rule, this will require CORS to be setup if run outside. The UI can be loaded locally in a browser under "ui/index.html".
The UI provides options for the container id and username/password to invoke the kie server and thus can easily demonstrate how multiple versions can be used.
This project also demonstrates
- How to setup a DMN model which can be reused and imported.
- How to map a traditional Data Object into a DMN Data structure within entry/exit scripts within the ruleflow.