ms-iris-credit-risk Awaiting Review

ms-iris-credit-risk

This is a sample of an InterSystems IRIS microservice.
The sample allows you calculate credit risk analysis from a microservice using REST API or Kafka events.

Prerequisites

Make sure you have git and Docker desktop installed.

Installation

Clone/git pull the repo into any local directory

$ git clone https://github.com/yurimarx/ms-iris-credit-risk.git

Open the terminal in this directory and run:

$ docker-compose build

3. Run the IRIS container with your project:

$ docker-compose up -d

How to Test it - REST API

Import the postman collection https://github.com/yurimarx/ms-iris-credit-risk/blob/master/Credit%20Risk%20API.postman_collection.json or the local file Credit Risk API.postman_collection.json

How to Test it - Kafka API

1. Open and Start the production http://localhost:52795/csp/user/EnsPortal.ProductionConfig.zen?PRODUCTION=dc.creditrisk.CreditRiskProduction
2. Open Kafka UI: http://localhost:8080/
3. Go to Topics and create a CreditRiskInTopic if not exists.
4. Click the CreditRiskInTopic link and click Produce Message (on the top right corner of the page)
5. Fills iris into Key and the following json data into Value:
   {
   “Age”: 42,
   “Sex”: “male”,
   “Job”: 1,
   “Housing”: “own”,
   “SavingAccounts”: “rich”,
   “CheckingAccount”: “little”,
   “CreditAmount”: 10000,
   “Duration”: 6,
   “Purpose”: “car”
   }
6. Click button Produce
7. Go to Topics and click the CreditRiskOutTopic link
8. Go to Messages and see the response message sent
9. See the request and response flow on the Interoperabitiy production also.

References

1. Dataset used to train the model: https://www.kaggle.com/datasets/benjaminmcgregor/german-credit-data-set-with-credit-risk