Procedure

1. In Business Central, go to Menu → Design → Projects and click the project name.
2. In the upper-right corner, click Build and then Deploy to build the project and deploy it to Process Server. If the build fails, address any problems described in the Alerts panel at the bottom of the screen. For more information about deploying projects, see Packaging and deploying a Red Hat Process Automation Manager project.

3. Open the pom.xml file of your client application and add the following dependencies, if not added already:

   • kie-ci: Enables your client application to load Business Central project data locally using ReleaseId
   • kie-server-client: Enables your client application to interact remotely with assets on Process Server
   • slf4j: (Optional) Enables your client application to use Simple Logging Facade for Java (SLF4J) to return debug logging information after you interact with Process Server

   Example dependencies for Red Hat Process Automation Manager 7.1 in a client application pom.xml file:

   // For local execution:
   <dependency>
     <groupId>org.kie</groupId>
     <artifactId>kie-ci</artifactId>
     <version>7.11.0.Final-redhat-00002</version>
   </dependency>
   
   // For remote execution on Process Server:
   <dependency>
     <groupId>org.kie.server</groupId>
     <artifactId>kie-server-client</artifactId>
     <version>7.11.0.Final-redhat-00002</version>
   </dependency>
   
   // For debug logging (optional):
   <dependency>
     <groupId>org.slf4j</groupId>
     <artifactId>slf4j-simple</artifactId>
     <version>1.7.25</version>
   </dependency>

   For available versions of these artifacts, search the group ID and artifact ID in the Nexus Repository Manager online.

   Note

   Instead of specifying a Red Hat Process Automation Manager <version> for individual dependencies, consider adding the Red Hat Business Automation bill of materials (BOM) dependency to your project pom.xml file. The Red Hat Business Automation BOM applies to both Red Hat Decision Manager and Red Hat Process Automation Manager. When you add the BOM files, the correct versions of transitive dependencies from the provided Maven repositories are included in the project.

   Example BOM dependency:

   <dependency>
     <groupId>com.redhat.ba</groupId>
     <artifactId>ba-platform-bom</artifactId>
     <version>7.1.0.GA-redhat-00002</version>
     <scope>import</scope>
     <type>pom</type>
   </dependency>

   For more information about the Red Hat Business Automation BOM, see What is the mapping between Red Hat Process Automation Manager and the Maven library version?.

4. Ensure that the dependencies for artifacts containing model classes are defined in the client application pom.xml file exactly as they appear in the pom.xml file of the deployed project. If dependencies for model classes differ between the client application and your projects, execution errors can occur.

   To view the project pom.xml in Business Central, select any existing asset in the project and then in the Project Explorer menu on the left side of the screen, click the Customize View gear icon and select Repository View → pom.xml.

   For example, the following is a Person class dependency as it appears in both the client and deployed project pom.xml files:

   <dependency>
     <groupId>com.sample</groupId>
     <artifactId>Person</artifactId>
     <version>1.0.0</version>
   </dependency>

5. If you added the slf4j dependency to the client application pom.xml file for debug logging, create a simplelogger.properties file on the relevant classpath (for example, in src/main/resources/META-INF in Maven) with the following content:

   org.slf4j.simpleLogger.defaultLogLevel=debug

6. In your client application, create a .java main class containing the necessary imports and a main() method to load the KIE base, insert facts, and execute the rules.

   For example, a Person object in a project contains getter and setter methods to set and retrieve the first name, last name, hourly rate, and the wage of a person. The following Wage rule in a project calculates the wage and hourly rate values and displays a message based on the result:

   package com.sample;
   
   import com.sample.Person;
   
   dialect "java"
   
   rule "Wage"
     when
       Person(hourlyRate * wage > 100)
       Person(name : firstName, surname : lastName)
     then
       System.out.println("Hello" + " " + name + " " + surname + "!");
       System.out.println("You are rich!");
   end

   To test this rule locally outside of Process Server (if desired), configure the .java class to import KIE services, a KIE container, and a KIE session, and then use the main() method to fire all rules against a defined fact model:

   Executing rules locally

   import org.kie.api.KieServices;
   import org.kie.api.runtime.KieContainer;
   import org.kie.api.runtime.KieSession;
   
   public class RulesTest {
   
     public static final void main(String[] args) {
       try {
         // Identify the project in the local repository:
         ReleaseId rid = new ReleaseId();
         rid.setGroupId("com.myspace");
         rid.setArtifactId("MyProject");
         rid.setVersion("1.0.0");
   
         // Load the KIE base:
         KieServices ks = KieServices.Factory.get();
         KieContainer kContainer = ks.newKieContainer(rid);
         KieSession kSession = kContainer.newKieSession();
   
         // Set up the fact model:
         Person p = new Person();
         p.setWage(12);
         p.setFirstName("Tom");
         p.setLastName("Summers");
         p.setHourlyRate(10);
   
         // Insert the person into the session:
         kSession.insert(p);
   
         // Fire all rules:
         kSession.fireAllRules();
         kSession.dispose();
       }
   
       catch (Throwable t) {
         t.printStackTrace();
       }
     }
   }

   To test this rule on Process Server, configure the .java class with the imports and rule execution information similarly to the local example, and additionally specify KIE services configuration and KIE services client details:

   Executing rules on Process Server

   package com.sample;
   
   import java.util.ArrayList;
   import java.util.HashSet;
   import java.util.List;
   import java.util.Set;
   
   import org.kie.api.command.BatchExecutionCommand;
   import org.kie.api.command.Command;
   import org.kie.api.KieServices;
   import org.kie.api.runtime.ExecutionResults;
   import org.kie.api.runtime.KieContainer;
   import org.kie.api.runtime.KieSession;
   import org.kie.server.api.marshalling.MarshallingFormat;
   import org.kie.server.api.model.ServiceResponse;
   import org.kie.server.client.KieServicesClient;
   import org.kie.server.client.KieServicesConfiguration;
   import org.kie.server.client.KieServicesFactory;
   import org.kie.server.client.RuleServicesClient;
   
   import com.sample.Person;
   
   public class RulesTest {
   
     private static final String containerName = "testProject";
     private static final String sessionName = "myStatelessSession";
   
     public static final void main(String[] args) {
       try {
         // Define KIE services configuration and client:
         Set<Class<?>> allClasses = new HashSet<Class<?>>();
         allClasses.add(Person.class);
         String serverUrl = "http://$HOST:$PORT/kie-server/services/rest/server";
         String username = "$USERNAME";
         String password = "$PASSWORD";
         KieServicesConfiguration config =
           KieServicesFactory.newRestConfiguration(serverUrl,
                                                   username,
                                                   password);
         config.setMarshallingFormat(MarshallingFormat.JAXB);
         config.addExtraClasses(allClasses);
         KieServicesClient kieServicesClient =
           KieServicesFactory.newKieServicesClient(config);
   
         // Set up the fact model:
         Person p = new Person();
         p.setWage(12);
         p.setFirstName("Tom");
         p.setLastName("Summers");
         p.setHourlyRate(10);
   
         // Insert Person into the session:
         KieCommands kieCommands = KieServices.Factory.get().getCommands();
         List<Command> commandList = new ArrayList<Command>();
         commandList.add(kieCommands.newInsert(p, "personReturnId"));
   
         // Fire all rules:
         commandList.add(kieCommands.newFireAllRules("numberOfFiredRules"));
         BatchExecutionCommand batch = kieCommands.newBatchExecution(commandList, sessionName);
   
         // Use rule services client to send request:
         RuleServicesClient ruleClient = kieServicesClient.getServicesClient(RuleServicesClient.class);
         ServiceResponse<ExecutionResults> executeResponse = ruleClient.executeCommandsWithResults(containerName, batch);
         System.out.println("number of fired rules:" + executeResponse.getResult().getValue("numberOfFiredRules"));
       }
   
       catch (Throwable t) {
         t.printStackTrace();
       }
     }
   }

7. Run the configured .java class from your project directory. You can run the file in your development platform (such as Red Hat JBoss Developer Studio) or in the command line.

   Example Maven execution (within project directory):

   mvn clean install exec:java -Dexec.mainClass="com.sample.app.RulesTest"

   Example Java execution (within project directory)

   javac -classpath "./$DEPENDENCIES/*:." RulesTest.java
   java -classpath "./$DEPENDENCIES/*:." RulesTest

8. Review the rule execution status in the command line and in the server log. If any rules do not execute as expected, review the configured rules in the project and the main class configuration to validate the data provided.