Usando o Kogito para adicionar recursos de mecanismo de regras a um aplicativo
This guide demonstrates how your Quarkus application can use Kogito to add DRL files with rules.
Kogito is a next generation business automation toolkit that originates from well known Open Source projects Drools (for business rules) and jBPM (for business processes). Kogito aims at providing another approach to business automation where the main message is to expose your business knowledge (processes, rules and decisions) in a domain specific way.
Pré-requisitos
Para concluir este guia, você precisa:
-
Cerca de 15 minutos
-
Um IDE
-
JDK 11+ instalado com 'JAVA_HOME' configurado adequadamente
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Apache Maven 3.8.6
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Um container runtime instalado (Docker ou Podman)
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Opcionalmente, o Quarkus CLI se você quiser usá-lo
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Opcionalmente, Mandrel ou GraalVM instalado e configurado apropriadamente se você quiser criar um executável nativo (ou Docker se você usar uma compilação de contêiner nativo)
Arquitetura
In this example, we build a very simple microservice which offers one REST endpoint:
-
/find-approved
This endpoint will be automatically generated based on the query inserted in the Rule Unit of the DRL file. It’s an example of a stateless invocation (also called "pure function invocation") in which the execution of our business rules doesn’t have any side effects. The output value returned is based uniquely on the input provided.
Business rule
A business rule allows to externalise decision logic into reusable pieces that can be easily used in declarative way. There are multiple ways of writing rules like DMN models, decision tables, decision trees, rules, etc. For this example we focus on the rule format backed by DRL (Drools Rule Language).
Solução
We recommend that you follow the instructions in the next sections and create the application step by step. However, you can go right to the complete example.
Clone o repositório Git: git clone https://github.com/quarkusio/quarkus-quickstarts.git, ou baixe um arquivo.
The solution is located in the kogito-drl-quickstart directory.
Criando o projeto Maven
Primeiro, precisamos de um novo projeto. Crie um novo projeto com o seguinte comando:
This command generates a Maven project, importing the kogito-quarkus-rules extension
that comes with all needed dependencies and configuration to equip your application
with business automation.
It also imports the resteasy-reactive-jackson extension that is needed for Kogito to expose REST services.
If you already have your Quarkus project configured, you can add the kogito-quarkus-rules extension
to your project by running the following command in your project base directory:
quarkus extension add 'kogito-quarkus-rules'./mvnw quarkus:add-extension -Dextensions='kogito-quarkus-rules'./gradlew addExtension --extensions='kogito-quarkus-rules'Isto irá adicionar o seguinte trecho no seu arquivo de build:
<dependency>
<groupId>org.kie.kogito</groupId>
<artifactId>kogito-quarkus-rules</artifactId>
</dependency>implementation("org.kie.kogito:kogito-quarkus-rules")Escrevendo o aplicativo
Let’s start from the application domain model. This application will approve Loan Applications, so we have a class with all the details of the wanted Loan:
package org.acme.kogito.model;
public class LoanApplication {
private String id;
private Applicant applicant;
private int amount;
private int deposit;
private boolean approved = false;
public LoanApplication() {
}
public LoanApplication(String id, Applicant applicant,
int amount, int deposit) {
this.id = id;
this.applicant = applicant;
this.amount = amount;
this.deposit = deposit;
}
public String getId() {
return id;
}
public void setId(String id) {
this.id = id;
}
public Applicant getApplicant() {
return applicant;
}
public void setApplicant(Applicant applicant) {
this.applicant = applicant;
}
public int getAmount() {
return amount;
}
public void setAmount(int amount) {
this.amount = amount;
}
public int getDeposit() {
return deposit;
}
public void setDeposit(int deposit) {
this.deposit = deposit;
}
public boolean isApproved() {
return approved;
}
public void setApproved(boolean approved) {
this.approved = approved;
}
}And another class with the details of the Applicant:
package org.acme.kogito.model;
public class Applicant {
private String name;
private int age;
public Applicant() {
}
public Applicant(String name, int age) {
this.name = name;
this.age = age;
}
public String getName() {
return name;
}
public void setName(String name) {
this.name = name;
}
public int getAge() {
return age;
}
public void setAge(int age) {
this.age = age;
}
}Next, we create a rule file loan-rules.drl inside the src/main/resources/org/acme/kogito/queries folder of
the generated project.
package org.acme.kogito.queries;
unit LoanUnit; // no need to using globals, all variables and facts are stored in the rule unit
import org.acme.kogito.model.Applicant;
import org.acme.kogito.model.LoanApplication;
rule LargeDepositApprove when
$l: /loanApplications[ applicant.age >= 20, deposit >= 1000, amount <= maxAmount ] // oopath style
then
modify($l) { setApproved(true) };
end
rule LargeDepositReject when
$l: /loanApplications[ applicant.age >= 20, deposit >= 1000, amount > maxAmount ]
then
modify($l) { setApproved(false) };
end
// ... more loans approval/rejections business rules ...
// approved loan applications are now retrieved through a query
query FindApproved
$l: /loanApplications[ approved ]
endIn this file there are some example rules to decide whether the Loan should be approved or not. The service wants the Applicant to have an age equal or greater than 20 and more than 1000 currency on their bank account.
The amount of the Loan shouldn’t be more than the maxAmount.
This example uses Rule Units, a new concept introduced in Kogito that helps users to encapsulate the set of rules and the facts against which those rules will be matched.
The facts inserted will be inserted into a DataStore, a type-safe entry point. To make everything work, we need to define both the RuleUnit and the DataStore.
package org.acme.kogito.queries;
import org.acme.kogito.model.LoanApplication;
import org.kie.kogito.rules.DataSource;
import org.kie.kogito.rules.DataStore;
import org.kie.kogito.rules.RuleUnitData;
public class LoanUnit implements RuleUnitData {
private int maxAmount;
private DataStore<LoanApplication> loanApplications;
public LoanUnit() {
this(DataSource.createStore(), 0);
}
public LoanUnit(DataStore<LoanApplication> loanApplications, int maxAmount) {
this.loanApplications = loanApplications;
this.maxAmount = maxAmount;
}
public DataStore<LoanApplication> getLoanApplications() { return loanApplications; }
public void setLoanApplications(DataStore<LoanApplication> loanApplications) {
this.loanApplications = loanApplications;
}
public int getMaxAmount() { return maxAmount; }
public void setMaxAmount(int maxAmount) { this.maxAmount = maxAmount; }
}And that’s it: REST endpoint to validate Loan Applications will be automatically generated from this Rule Unit.
Running and Using the Application
Running in Dev Mode
To run the microservice in dev mode, use:
quarkus dev./mvnw quarkus:dev./gradlew --console=plain quarkusDevRunning in JVM Mode
When you’re done playing with dev mode you can run it as a standard Java application.
First compile it:
quarkus build./mvnw install./gradlew buildEm seguida, execute:
java -jar target/quarkus-app/quarkus-run.jarRunning in Native Mode
This same demo can be compiled into native code: no modifications required.
This implies that you no longer need to install a JVM on your production environment, as the runtime technology is included in the produced binary, and optimized to run with minimal resource overhead.
Compilation will take a bit longer, so this step is disabled by default; let’s build a native executable with the following command:
quarkus build --native./mvnw install -Dnative./gradlew build -Dquarkus.package.type=nativeAfter getting a cup of coffee, you’ll be able to run this binary directly:
target/kogito-drl-quickstart-1.0.0-SNAPSHOT-runnerTestando a aplicação
To test your application, just send a request to the service with giving the person as JSON payload.
curl -X POST http://localhost:8080/find-approved \
-H 'Content-Type: application/json'\
-H 'Accept: application/json' \
-d '{"maxAmount":5000,
"loanApplications":[
{"id":"ABC10001","amount":2000,"deposit":1000,
"applicant":{"age":45,"name":"John"}},
{"id":"ABC10002","amount":5000,"deposit":100,
"applicant":{"age":25,"name":"Paul"}},
{"id":"ABC10015","amount":1000,"deposit":100,
"applicant":{"age":12,"name":"George"}}
]}'In the response, the list of the approved applications will be returned:
[{"id":"ABC10001",
"applicant":{"name":"John","age":45},
"amount":2000,"deposit":100,"approved":true}]
