Introducing camel-drools component

Introduction In this post I’ll try to introduce

Apache Camel component for Drools library – a great an widely used Business Rules Management System. When we decided to use Drools 5 inside Servicemix for some big project, it turned out that there is no production-ready solution that will meet out requirements. The servicemix-drools component is lacking several very important features, eg:
* StatefulSession database persistence for long-running processes,
* support for Complex Event Processing (event-based rules),
* Apache Camel based deployment to ease rules consequence processing,
* Support for Drools unit testing framework. To satisfy those requirements, Maciek Próchniak created a set of utility classes, which helped us run Drools inside Camel route. Starting from this codebase, we did some refactoring, add few new features (eg. pluggable object persistance) and released camel-drools component on TouK Open Source Projects forge.

Example To summarize key features and show how to use camel-drools component, let’s try to implement an example taken from Drools Flow documentation:

There is kind-of ‘process’ where first Task1 and Task2 are created and can be executed in parallel. Task3 needs to be executed after completion of both Task1 and Task2.

Implementation The class Task have 2 fields, a

name and completed flag, we also need an id for session serialization:

public class Task implements Serializable {
    private static final long serialVersionUID = -2964477958089238715L;    
    private String name;
    private boolean completed;

    public Task(String name) {
        this(name, false);
    }

    public Task(String name, boolean completed) {
        this.name = name;
        this.completed = completed;
    }

    public String getName() {
        return name;
    }

    public boolean isCompleted() {
        return completed;
    }

    public long getId() {
        return name.hashCode();
    }
}

We also define another class representing the state of process, needed to fire rules in correct order. Using that model, we now can implement our ruleset, defined in

task.drl file:

import org.apache.camel.component.drools.stateful.*

global org.apache.camel.component.drools.CamelDroolsHelper helper

rule "init"
salience 100
    when
        $s : State(name=="start")
    then
        insert(new Task("Task1"));
        insert(new Task("Task2"));
        retract($s);
end

rule "all tasks completed"
    when
        not(exists Task(completed==false))
        not(exists State(name=="end"))
    then
        insert(new Task("Task3"));
end

rule "Task3 completed"
salience 30
    when 
        Task(name=="Task3", completed==true)
    then
        insert(new State("end"));
        helper.send("direct:completed", "completed");
end

In first rule – “init” we insert two tasks and then retract state object from the session to avoid recursive execution of that rule. Rule “all tasks completed” shows the power of Drools – we just declare that this rule is fired when “there are no incompleted tasks” and don’t have to specify which tasks. So this shows rather ‘declarative’ than ‘imperative’ way of development – we have much more expressiveness than just step-by-step actions which lead to some situation. The

CamelDroolsHelper is a wrapper for ProducerTemplate and can be used to send some message trough another Camel route as consequence of a rule. But how are Tasks mark as completed in Drools session? The idea is to expose session through Camel endpoint to allow insert or update objects, which are passed as body of exchanges:

public class TaskRouteBuilder extends RouteBuilder {
    @Override
    public void configure() throws Exception {
        from("direct:drools")
            .setHeader("drools.key", constant(new MultiKey(new String[] {
                "process-1"
            })))
            .to("drools:task.drl?stateful=true");
        from("direct:completed").to("log:test");
    }
}

The Drools endpoint is described by

"drools:task.drl?stateful=true" URI. It loads definition of rules from task.drl file and runs endpoint in stateful mode (described next paragraph). When object is passed to this endpoint, it is inserted (or updated) to session and fireAllRules() method is called. Another important thing is “drools.key” header – it is used to distinguish sessions between “processes”. E.g. when we have some customer-oriented rules, we want to group facts and events in session per customer – by some customer id. When the “drools.key” is set to that id, sessions for different customers could be found and saved separately.

Stateful session persistence Camel-drools component can be used in two modes:

stateful *and *stateless. The main difference between those is session persistence – only in stateful mode session is stored in database. So long duration event rules are correctly handled only in this mode – and this is what we used in this example. Let’s look at Spring context definition:

task_id

As you can see, there are some requirements for database objects to handle session persistence correctly – two tables: one for KnowlegdeStatefulSession and one for objects (facts and events) persistence. You can name them freely, just provide those names to

sessionTable and objectTable properties of sessionDAO. A sequence for id generation is also needed.

Route and rules testing Here is example test for TaskRouteBuilder:

@SuppressWarnings("unchecked")
public class TaskRouteBuilderTest extends TaskRouteBuilder {

    DefaultCamelContext ctx;
    ProducerTemplate tpl;
    MockSessionDAO dao;

    @Before
    public void makeContext() throws Exception {
        ctx = new DefaultCamelContext();
        ctx.addComponent("drools", new DroolsComponent(ctx));
        ApplicationContext appCtx = new ClassPathXmlApplicationContext(
            new String[] {
                "camel-drools-context.xml",
                "mock-dao-context.xml"
            });
        dao = (MockSessionDAO) appCtx.getBean("sessionDAO");
        ctx.setRegistry(new ApplicationContextRegistry(appCtx));
        ctx.addRoutes(this);
        ctx.addRoutes(new RouteBuilder() {
            @Override
            public void configure() throws Exception {
                from("direct:completed").to("mock:test");
            }
        });
        ctx.start();
        tpl = ctx.createProducerTemplate();
    }

    @Test
    public void testUpdate() throws Exception {
        Endpoint endpoint = ctx.getEndpoint("direct:drools");
        tpl.requestBody(endpoint, new State("start"));
        SessionWithIdentifier session = dao.getSession();
        Assert.assertEquals(2, session.getSession().getFactHandles().size());
        tpl.requestBody(endpoint, new Task("Task1", true));
        tpl.requestBody(endpoint, new Task("Task2", true));
        Assert.assertEquals(3, session.getSession().getFactHandles().size());
        tpl.requestBody(endpoint, new Task("Task3", true));

        MockEndpoint mock = MockEndpoint.resolve(ctx, "mock:test");
        mock.expectedMessageCount(1);
        mock.setResultWaitTime(5000 L);
        mock.assertIsSatisfied();
    }
}

In setup method some required initialization is done – camel-drools-context.xml file is loaded and MockSessionDao created. The test first starts process by passing State object with “start” name to Drools session through Camel route. This should add Task1 and Task2 to session – and it’s tested by counting the factHadles in session. Next, Task1 and Task2 are updated by making them completed, which should result in Task3 present in session – another factHandle. Last step is to complete Task3 and check that last rule is executed by assertions on MockEndpoint. You can download source code for this example and whole component from

here – this is branch for Camel 1.x version, which we use in our project.

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Thought static method can’t be easy to mock, stub nor track? Wrong!

No matter why, no matter is it a good idea. Sometimes one just wants to check or it's necessary to be done. Mock a static method, woot? Impossibru!

In pure Java world it is still a struggle. But Groovy allows you to do that really simple. Well, not groovy alone, but with a great support of Spock.

Lets move on straight to the example. To catch some context we have an abstract for the example needs. A marketing project with a set of offers. One to many.

import spock.lang.Specification

class OfferFacadeSpec extends Specification {

    OfferFacade facade = new OfferFacade()

    def setup() {
        GroovyMock(Project, global: true)
    }

    def 'delegates an add offer call to the domain with proper params'() {
        given:
            Map params = [projId: projectId, name: offerName]

        when:
            Offer returnedOffer = facade.add(params)

        then:
            1 * Project.addOffer(projectId, _) >> { projId, offer -> offer }
            returnedOffer.name == params.name

        where:
            projectId | offerName
            1         | 'an Offer'
            15        | 'whasup!?'
            123       | 'doskonała oferta - kup teraz!'
    }
}
So we test a facade responsible for handling "add offer to the project" call triggered  somewhere in a GUI.
We want to ensure that static method Project.addOffer(long, Offer) will receive correct params when java.util.Map with user form input comes to the facade.add(params).
This is unit test, so how Project.addOffer() works is out of scope. Thus we want to stub it.

The most important is a GroovyMock(Project, global: true) statement.
What it does is modifing Project class to behave like a Spock's mock. 
GroovyMock() itself is a method inherited from SpecificationThe global flag is necessary to enable mocking static methods.
However when one comes to the need of mocking static method, author of Spock Framework advice to consider redesigning of implementation. It's not a bad advice, I must say.

Another important thing are assertions at then: block. First one checks an interaction, if the Project.addOffer() method was called exactly once, with a 1st argument equal to the projectId and some other param (we don't have an object instance yet to assert anything about it).
Right shit operator leads us to the stub which replaces original method implementation by such statement.
As a good stub it does nothing. The original method definition has return type Offer. The stub needs to do the same. So an offer passed as the 2nd argument is just returned.
Thanks to this we can assert about name property if it's equal with the value from params. If no return was designed the name could be checked inside the stub Closure, prefixed with an assert keyword.

Worth of  mentioning is that if you want to track interactions of original static method implementation without replacing it, then you should try using GroovySpy instead of GroovyMock.

Unfortunately static methods declared at Java object can't be treated in such ways. Though regular mocks and whole goodness of Spock can be used to test pure Java code, which is awesome anyway :)No matter why, no matter is it a good idea. Sometimes one just wants to check or it's necessary to be done. Mock a static method, woot? Impossibru!

In pure Java world it is still a struggle. But Groovy allows you to do that really simple. Well, not groovy alone, but with a great support of Spock.

Lets move on straight to the example. To catch some context we have an abstract for the example needs. A marketing project with a set of offers. One to many.

import spock.lang.Specification

class OfferFacadeSpec extends Specification {

    OfferFacade facade = new OfferFacade()

    def setup() {
        GroovyMock(Project, global: true)
    }

    def 'delegates an add offer call to the domain with proper params'() {
        given:
            Map params = [projId: projectId, name: offerName]

        when:
            Offer returnedOffer = facade.add(params)

        then:
            1 * Project.addOffer(projectId, _) >> { projId, offer -> offer }
            returnedOffer.name == params.name

        where:
            projectId | offerName
            1         | 'an Offer'
            15        | 'whasup!?'
            123       | 'doskonała oferta - kup teraz!'
    }
}
So we test a facade responsible for handling "add offer to the project" call triggered  somewhere in a GUI.
We want to ensure that static method Project.addOffer(long, Offer) will receive correct params when java.util.Map with user form input comes to the facade.add(params).
This is unit test, so how Project.addOffer() works is out of scope. Thus we want to stub it.

The most important is a GroovyMock(Project, global: true) statement.
What it does is modifing Project class to behave like a Spock's mock. 
GroovyMock() itself is a method inherited from SpecificationThe global flag is necessary to enable mocking static methods.
However when one comes to the need of mocking static method, author of Spock Framework advice to consider redesigning of implementation. It's not a bad advice, I must say.

Another important thing are assertions at then: block. First one checks an interaction, if the Project.addOffer() method was called exactly once, with a 1st argument equal to the projectId and some other param (we don't have an object instance yet to assert anything about it).
Right shit operator leads us to the stub which replaces original method implementation by such statement.
As a good stub it does nothing. The original method definition has return type Offer. The stub needs to do the same. So an offer passed as the 2nd argument is just returned.
Thanks to this we can assert about name property if it's equal with the value from params. If no return was designed the name could be checked inside the stub Closure, prefixed with an assert keyword.

Worth of  mentioning is that if you want to track interactions of original static method implementation without replacing it, then you should try using GroovySpy instead of GroovyMock.

Unfortunately static methods declared at Java object can't be treated in such ways. Though regular mocks and whole goodness of Spock can be used to test pure Java code, which is awesome anyway :)