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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It is mostly useful for logging your REST traffic. Full HTTP web pages can be huge to log and generally waste your space. I suggest to map all of your REST controllers with the same path in UrlMappings, e.g. /rest/ and configure this plugin with this path.

Here is some simple output just to give you a taste of it.

17:16:00,331 INFO  filters.LogRawRequestInfoFilter  - 17:16:00,340 INFO  filters.LogRawRequestInfoFilter  - 17:16:00,342 INFO  filters.LogGrailsUrlsInfoFilter  - 17:16:00,731 INFO  filters.LogOutputResponseFilter  - >> #1 returned 200, took 405 ms.
17:16:00,745 INFO filters.LogOutputResponseFilter - >> #1 responded with '{count:0}'
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Official plugin information can be found on Grails plugins website here: http://grails.org/plugins/httplogger or you can browse code on github: TouK/grails-httplogger.

Clojure web development – state of the art

It’s now more than a year that I’m getting familiar with Clojure and the more I dive into it, the more it becomes the language. Once you defeat the “parentheses fear”, everything else just makes the difference: tooling, community, good engineering practices. So it’s now time for me to convince others. In this post I’ll try to walktrough a simple web application from scratch to show key tools and libraries used to develop with Clojure in late 2015.

Note for Clojurians: This material is rather elementary and may be useful for you if you already know Clojure a bit but never did anything bigger than hello world application.

Note for Java developers: This material shows how to replace Spring, Angular, grunt, live-reload with a bunch of Clojure tools and libraries and a bit of code.

The repo with final code and individual steps is here.

Bootstrap

I think all agreed that component is the industry standard for managing lifecycle of Clojure applications. If you are a Java developer you may think of it as a Spring (DI) replacement - you declare dependencies between “components” which are resolved on “system” startup. So you just say “my component needs a repository/database pool” and component library “injects” it for you.

To keep things simple I like to start with duct web app template. It’s a nice starter component application following the 12-factor philosophy. So let’s start with it:

lein new duct clojure-web-app +example

The +example parameter tells duct to create an example endpoint with HTTP routes - this would be helpful. To finish bootstraping run lein setup inside clojure-web-app directory.

Ok, let’s dive into the code. Component and injection related code should be in system.clj file:

(defn new-system [config]
  (let [config (meta-merge base-config config)]
    (-> (component/system-map
         :app  (handler-component (:app config))
         :http (jetty-server (:http config))
         :example (endpoint-component example-endpoint))
        (component/system-using
         {:http [:app]
          :app  [:example]
          :example []}))))

In the first section you instantiate components without dependencies, which are resolved in the second section. So in this example, “http” component (server) requires “app” (application abstraction), which in turn is injected with “example” (actual routes). If your component needs others, you just can get then by names (precisely: by Clojure keywords).

To start the system you must fire a REPL - interactive environment running within context of your application:

lein repl

After seeing prompt type (go). Application should start, you can visit http://localhost:3000 to see some example page.

A huge benefit of using component approach is that you get fully reloadable application. When you change literally anything - configuration, endpoints, implementation, you can just type (reset) in REPL and your application is up-to-date with the code. It’s a feature of the language, no JRebel, Spring-reloaded needed.

Adding REST endpoint

Ok, in the next step let’s add some basic REST endpoint returning JSON. We need to add 2 dependencies in project.clj file:

:dependencies
 ...
  [ring/ring-json "0.3.1"]
  [cheshire "5.1.1"]

Ring-json adds support for JSON for your routes (in ring it’s called middleware) and cheshire is Clojure JSON parser (like Jackson in Java). Modifying project dependencies if one of the few tasks that require restarting the REPL, so hit CTRL-C and type lein repl again.

To configure JSON middleware we have to add wrap-json-body and wrap-json-response just before wrap-defaults in system.clj:

(:require 
 ...
 [ring.middleware.json :refer [wrap-json-body wrap-json-response]])

(def base-config
   {:app {:middleware [[wrap-not-found :not-found]
                      [wrap-json-body {:keywords? true}]
                      [wrap-json-response]
                      [wrap-defaults :defaults]]

And finally, in endpoint/example.clj we must add some route with JSON response:

(:require 
 ...
 [ring.util.response :refer [response]]))

(defn example-endpoint [config]
  (routes
    (GET "/hello" [] (response {:hello "world"}))
    ...

Reload app with (reset) in REPL and test new route with curl:

curl -v http://localhost:3000/hello

< HTTP/1.1 200 OK
< Date: Tue, 15 Sep 2015 21:17:37 GMT
< Content-Type: application/json; charset=utf-8
< Set-Cookie: ring-session=37c337fb-6bbc-4e65-a060-1997718d03e0;Path=/;HttpOnly
< X-XSS-Protection: 1; mode=block
< X-Frame-Options: SAMEORIGIN
< X-Content-Type-Options: nosniff
< Content-Length: 151
* Server Jetty(9.2.10.v20150310) is not blacklisted
< Server: Jetty(9.2.10.v20150310)
<
* Connection #0 to host localhost left intact
{"hello": "world"}

It works! In case of any problems you can find working version in this commit.

Adding frontend with figwheel

Coding backend in Clojure is great, but what about the frontend? As you may already know, Clojure could be compiled not only to JVM bytecode, but also to Javascript. This may sound familiar if you used e.g. Coffescript. But ClojureScript philosophy is not only to provide some syntax sugar, but improve your development cycle with great tooling and fully interactive development. Let’s see how to achieve it.

The best way to introduce ClojureScript to a project is figweel. First let’s add fighweel plugin and configuration to project.clj:

:plugins
   ...
   [lein-figwheel "0.3.9"]

And cljsbuild configuration:

:cljsbuild
    {:builds [{:id "dev"
               :source-paths ["src-cljs"]
               :figwheel true
               :compiler {:main       "clojure-web-app.core"
                          :asset-path "js/out"
                          :output-to  "resources/public/js/clojure-web-app.js"
                          :output-dir "resources/public/js/out"}}]}

In short this tells ClojureScript compiler to take sources from src-cljs with figweel support and but resulting JavaScript into resources/public/js/clojure-web-app.js file. So we need to include this file in a simple HTML page:

<!DOCTYPE html>
<head>
</head>
<body>
  <div id="main">
  </div>
  <script src="js/clojure-web-app.js" type="text/javascript"></script>
</body>
</html>

To serve this static file we need to change some defaults and add corresponding route. In system.clj change api-defaults to site-defaults both in require section and base-config function. In example.clj add following route:

(GET "/" [] (io/resource "public/index.html")

Again (reset) in REPL window should reload everything.

But where is our ClojureScript source file? Let’s create file core.cljs in src-cljs/clojure-web-app directory:

(ns ^:figwheel-always clojure-web-app.core)

(enable-console-print!)

(println "hello from clojurescript")

Open another terminal and run lein fighweel. It should compile ClojureScript and print ‘Prompt will show when figwheel connects to your application’. Open http://localhost:3000. Fighweel window should prompt:

To quit, type: :cljs/quit
cljs.user=>

Type (js/alert "hello"). Boom! If everything worked you should see and alert in your browser. Open developers console in your browser. You should see hello from clojurescript printed on the console. Change it in core.cljs to (println "fighweel rocks") and save the file. Without reloading the page your should see updated message. Figweel rocks! Again, in case of any problems, refer to this commit.

In the next post I’ll show how to fetch data from MongoDB, serve it with REST to the broser and write ReactJs/Om components to render it. Stay tuned!