The Bulk Scan Payment Processor retrieves service bus queue messages from the payments queue and processes them by either:
- Creating a new payment record for an exception record in CCD
- Updating an existing CCD exception record reference in payments to use the service case reference.
- JDK 21
- Project requires Spring Boot v3.x to be present
An alternative faster way getting started is by using the automated setup script. This script will help set up all bulk scan/print repos including bulk-scan-payment-processor and its dependencies. See common-dev-env-bsbp repository for more information.
The project uses Gradle as a build tool. It already contains
./gradlew
wrapper script, so there's no need to install gradle.
To build the project execute the following command:
./gradlew build
Create the image of the application by executing the following command:
./gradlew assemble
Create docker image:
docker-compose build
Run the distribution (created in build/install/bulk-scan-payment-processor
directory)
by executing the following command:
docker-compose up
This will start the API container exposing the application's port
(set to 8583
in this template app).
In order to test if the application is up, you can call its health endpoint:
curl http://localhost:8583/health
You should get a response similar to this:
{"status":"UP","diskSpace":{"status":"UP","total":249644974080,"free":137188298752,"threshold":10485760}}
To skip all the setting up and building, just execute the following command:
./bin/run-in-docker.sh
For more information:
./bin/run-in-docker.sh -h
Script includes bare minimum environment variables necessary to start api instance. Whenever any variable is changed or any other script regarding docker image/container build, the suggested way to ensure all is cleaned up properly is by this command:
docker-compose rm
It clears stopped containers correctly. Might consider removing clutter of images too, especially the ones fiddled with:
docker images
docker image rm <image-id>
There is no need to remove java or similar core images.
This project is licensed under the MIT License - see the LICENSE file for details