A quickstart project that processes deals for travellers. It utilizes process composition to split the work of:
- submitting a deal
- reviewing a deal
At the same time shows simplified version of an approval process that waits for a human actor to provide review.
This example shows
- exposing Submit Deal as public service
- each process instance is going to be evaluated and asks for review
- at any point in time service can be shutdown and when brought back it will keep the state of the instances
Note: The use of this example shows that the data sent to Infinispan is saved, you can shut down the application and restart it and as long as Infinispan is running after you restart you should still see the data
It utilizes Infinispan server as the backend store.
- Process (submitDeal.bpmn)
- Process Properties (top)
- Process Properties (bottom)
- Call a deal
- Call a deal (Assignments)
- Print review the Deal
- Subprocess (reviewDeal.bpmn)
- Deal Review (top)
- Deal Review (bottom)
- Review deal user task (top)
- Review deal user task (bottom)
- Review deal user task (Assignments)
This quickstart requires an Infinispan server to be available and by default expects it to be on default port and localhost.
You can install Infinispan server by downloading version 11.x from the official website.
- Infinispan installed and running
You will need:
- Java 11+ installed
- Environment variable JAVA_HOME set accordingly
- Maven 3.6.2+ installed
mvn clean compile spring-boot:run
mvn clean package
To run the generated native executable, generated in target/
, execute
java -jar target/process-infinispan-persistence-springboot.jar
You can take a look at the OpenAPI definition - automatically generated and included in this service - to determine all available operations exposed by this service. For easy readability you can visualize the OpenAPI definition file using a UI tool like for example available Swagger UI.
In addition, various clients to interact with this service can be easily generated using this OpenAPI definition.
To make use of this application it is as simple as putting a sending request to http://localhost:8080/deals
with following content
{
"name" : "my fancy deal",
"traveller" : {
"firstName" : "John",
"lastName" : "Doe",
"email" : "jon.doe@example.com",
"nationality" : "American",
"address" : {
"street" : "main street",
"city" : "Boston",
"zipCode" : "10005",
"country" : "US" }
}
}
Complete curl command can be found below:
curl -X POST -H 'Content-Type:application/json' -H 'Accept:application/json' -d '{"name" : "my fancy deal", "traveller" : { "firstName" : "John", "lastName" : "Doe", "email" : "jon.doe@example.com", "nationality" : "American","address" : { "street" : "main street", "city" : "Boston", "zipCode" : "10005", "country" : "US" }}}' http://localhost:8080/deals
this will then trigger the review user task that you can work.
First you can display all active reviews of deals
curl -H 'Content-Type:application/json' -H 'Accept:application/json' http://localhost:8080/dealreviews
based on the response you can select one of the reviews to see more details
curl -H 'Content-Type:application/json' -H 'Accept:application/json' http://localhost:8080/dealreviews/{uuid}/tasks?user=john
where uuid is the id of the deal review you want to work with.
Next you can get the details assigned to review user task by
curl -H 'Content-Type:application/json' -H 'Accept:application/json' http://localhost:8080/dealreviews/{uuid}/review/{tuuid}?user=john
where uuid is the id of the deal review and tuuid is the id of the user task you want to get
Last but not least you can complete review user task by
curl -X POST -H 'Content-Type:application/json' -H 'Accept:application/json' -d '{"review" : "very good work"}' http://localhost:8080/dealreviews/{uuid}/review/{tuuid}?user=john
where uuid is the id of the deal review and tuuid is the id of the user task you want to get
- Review Log should look similar to
Review of the deal very good work for traveller Doe
In the operator
directory you'll find the custom resources needed to deploy this example on OpenShift with the Kogito Operator.