IoT

28 posts

Kapua micro client SDK, running on a microcontroller

A few weeks back, while being at EclipseCon France, I did stumble over a nice little gadget. There was talk from MicroEJ around Java on microcontrollers. And they where showing an IoT related demo based on their development environment. And it seemed they did have Eclipse Paho (including TLS) and Google Protobuf running on their JVM without too much troubles.

ST Board with Thermocloud

My first idea was to simply drop the Kapua Gateway Client SDK on top of it, implementing the cloud facing API of MicroEJ and let their IoT demo publish data towards Kapua.
After a few days I was able to order such a STM32F746G-DISCO board myself and play a little bit around with it. It quickly turned out that is was pretty easy to drop some Java code on the device, using the gateway client SDK was not an option. The MicroEJ JVM is based on Java CDLC 8. Sounds like Java 8, right? Well, it is more like Java 7. Aside from a few classes which are missing, the core features missing where Java 8’s lambdas and enhancements to interfaces (like static methods and default methods).

Rewriting the gateway client SDK in Java 7, dropping the shiny API which we currently have, didn’t sound very appealing. But then again, implementing the Kapua communication stack actually isn’t that complicated and such an embedded device wouldn’t really need the extensibility and modularity of the Java 8 based gateway client SDK. So in a few hours there was the Kapua micro client SDK, which doesn’t consume any dependencies other than Paho and Protobuf and also only uses a minimal set of Java 7 functionality.

The second step was to implement the MicroEJ specific APIs and map the calls to the Kapua micro SDK, which wasn’t too difficult either. So now it is possible to simply install the “Kapua Data Channel Provider” from the MicroEJ Community Store. Alternatively you can compile the sources yourself as the code for this adapter is also on GitHub. Once the data channel provider is installed you can fire up any application consuming the DataChannel API, like the “Thermocloud” application, and publish data to Kapua. Please be sure to follow the installation instructions on the Kapua data channel provider for configuring the connection to your Kapua instance.

Kapua Data Channel Provider
Data from Thermocloud in Kapua

As the micro client is capable of running on Java 7, it might also be a choice for people wanting to connect from Android to Kapua without the need to go for Java 8. As Java 8 on Android still seems to be rather painful, this could be an option.

Also see:

I would like to thank Laurent and Frédéric from MicroEJ, who did help me fix all the noob-issues I had.

GSoC with Kapua – Just peeking

The deadline for the evaluations of phase for Google Summer of Code are pretty close. So it was time to take another look at what Arthur did with the logistics simulation for Eclipse Kapua.

The first phase was focused on creating a simple logistic network simulation and pushing telemetry data to Eclipse Kapua. The data isn’t realistic and that is ok, since this never was a requirement for the simulation. The second phase was focused around creating a simple dashboard for visualizing the data generated by the simulator.

So let’s have a quick look:

Now, as you can see, trains driving through oceans isn’t that realistic 😉 But we agreed on not taking things like this under consideration. Companies and locations are
randomly generated and figuring out which vehicles could drive on which roads between locations would simple be too much for this project.

The dashboard component is implemented using Dart and simply because it was considered cool 😉

There are still a few rough edges and the next phase will be focused on cleaning things up and making it consumable by people to play around with it.

Just a bit of Apache Camel

Sometimes you write something and then you nearly forget that you did it … although it is quite handy sometimes, here are a few lines of Apache Camel XML running in Eclipse Kura:

I just wanted to publish some random data from Kura to Kapua, without the need to code, deploy or build anything. Camel came to the rescue:

<routes xmlns="http://camel.apache.org/schema/spring">
  <route id="route1">

    <from uri="timer:1"/>
    <setBody><simple>${bean:payloadFactory.create("value", ${random(100)})}</simple></setBody>
    <to uri="kura-cloud:myapp/topic"/>

  </route>
</routes>

Dropping this snippet into the default XML Camel router:

  • Registers a Kura application named myapp
  • Creates a random number between 0 and 100 every second
  • Converts this to the Kura Payload structure
  • And publishes it on the topic topic

Talking to the cloud

While working on Eclipse Kapua, I wanted to do different tests, pushing telemetry data into the system. So I started to work on the Kura simulator, which can used to simulator an Eclipse Kura IoT gateway in a plain Java project, no special setup required. Now that helped a lot for unit testing and scale testing. Even generating a few simple telemetry data streams for simulating data works out of the box.

But then again I wanted to have something more lightweight and controllable. With the simulator you actually derive some a simple class and get fully controlled by the simulator framework. That may work well in some cases, but in others you may want to turn over the control to the actual application. Assume you already have a component which is “in charge” of your data, and now you want to push this into the cloud. Of course you can do this somehow, working around that. But creating a nice API for that, which is simple and easy to understand is way more fun 😉

So here is my take on a Gateway Client API, sending IoT data to the cloud, consuming command & control from it.

Intentions

I wanted to have a simple API, easy to understand, readable. Preventing you from making mistakes in the first place. And if something goes wrong, it should go wrong right away. Currently we go with MQTT, but there would be an option to go with HTTP as well, or AMQP in the future. And also for MQTT we have Eclipse Paho and FUSE MQTT. Both should be available, both may have special properties, but share some common ground. So implementing new providers should be possible, while sharing code should be easy as well.

Example

Now here is with what I came up with:

try (Client client = KuraMqttProfile.newProfile(FuseClient.Builder::new)
  .accountName("kapua-sys")
  .clientId("foo-bar-1")
  .brokerUrl("tcp://localhost:1883")
  .credentials(userAndPassword("kapua-broker", "kapua-password"))
  .build()) {

  try (Application application = client.buildApplication("app1").build()) {

    // subscribe to a topic

    application.data(Topic.of("my", "receiver")).subscribe(message -> {
      System.out.format("Received: %s%n", message);
    });

    // cache sender instance

    Sender sender = application
      .data(Topic.of("my", "sender"))
      .errors(ignore());

    int i = 0;
    while (true) {
      // send
      sender.send(Payload.of("counter", i++));
      Thread.sleep(1000);
    }
  }
}

Looks pretty simple right? On the background the MQTT connection is managed, payload gets encoded, birth certificates get exchanges and subscriptions get managed. But still the main application is in control of the data flow.

How to do this at home

If you want to have a look at the code, it is available on GitHub (ctron/kapua-gateway-client) and ready to consume on Maven Central (de.dentrassi.kapua). But please be aware of the fact that this is a proof-of-concept, and may never become more than that.

Simply adding the following dependency to your project should be enough:

<dependency>
  <groupId>de.dentrassi.kapua</groupId>
  <artifactId>kapua-gateway-client-provider-mqtt-fuse</artifactId>
  <version>0.2.0</version> <!-- check for a more recent version -->
</dependency>

With this dependency you can use the example above. If you want to got for Paho instead of FUSE use kapua-gateway-client-provider-mqtt-paho instead.

Taking for a test drive

Now taking this for a test drive as even more fun. Eclipse SmartHome has the concept of a persistence system, where telemetry data gets stored in a time series like database. There exists a default implementation for rrdb4j. So re-implementing this interface for Kapua was quite easy and resulted in an example module which can be installed into the Karaf based OpenHAB 2 distribution with just a few commands:

openhab> repo-add mvn:de.dentrassi.kapua/karaf/0.2.0/xml/features
openhab> feature:install eclipse-smarthome-kapua-persistence

Then you need to re-configure the component over the “Paper UI” and point it towards your Kapua setup. Maybe you will need to tweak the “kapua.persist” file in order to define what gets persisted and when. And if everything goes well, your temperate readings will get pushed from SmartHome to Kapua.

More information

Google Summer of Code 2017 with Eclipse Kapua

I am happy to announce that Eclipse Kapua got two slots in this year’s Google Summer of Code. Yes, two projects got accepted, and both are for the Eclipse Kapua project.

Anastasiya Lazarenko will provide a simulation of a fish tank and Arthur Deschamps will go for a supply chain simulation. Both simulations are planned to feed in their data into Eclipse Kapua using the Kura simulator framework. Although both projects seem to be quite similar from a high level perspective, I think they are quite different when it comes to the details.

The basic idea is not to provide something like a statistically/physically/… valid simulation, but something to play around and interact with. Spinning up a few virtual instances of both models and hooking them up to our cloud based IoT solution and interact a bit with them, getting some reasonable feedback values.

For Kapua this will definitely mean evolving the simulator framework based on the feedback from both students, making it (hopefully) easier to use for other tasks. And maybe, just maybe, we can also got for the extra mile and make the same simulations available for Eclipse Hono.

If you want to read more about Anastasiya and Arthur just read through their introductions on kapua-dev@eclipse.org and give them a warm welcome:

read Anastasiya’s introduction
read Arthur’s introduction

Best of luck to you!

OPC UA with Apache Camel

Apache Camel 2.19.0 is close to is release and the OPC UA component called “camel-milo” will be part of it. This is my Eclipse Milo backed component which was previously hosted in my personal GitHub repository ctron/de.dentrassi.camel.milo. It now got accepted into Apache Camel and will be part of the 2.19.0 release. As there are already a release candidates available, I think it is a great time to give a short introduction.

In a nutshell OPC UA is an industrial IoT communication protocol for acquiring telemetry data and command and control of industrial grade automation systems. It is also known as IEC 62541.

The Camel Milo component offers both an OPC UA client (milo-client) and server (milo-server) endpoint.

Running an OPC UA server

The following Camel example is based on Camel Blueprint and provides some random data over OPC UA, acting as a server:

Example project layout
Example project layout

The blueprint configuration would be:

<?xml version="1.0" encoding="UTF-8"?>
<blueprint xmlns="http://www.osgi.org/xmlns/blueprint/v1.0.0"
	xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
	xsi:schemaLocation="
	http://www.osgi.org/xmlns/blueprint/v1.0.0 https://osgi.org/xmlns/blueprint/v1.0.0/blueprint.xsd
	http://camel.apache.org/schema/blueprint https://camel.apache.org/schema/blueprint/camel-blueprint.xsd
	">

	<bean id="milo-server"
		class="org.apache.camel.component.milo.server.MiloServerComponent">
		<property name="enableAnonymousAuthentication" value="true" />
	</bean>

	<camelContext xmlns="http://camel.apache.org/schema/blueprint">
		<route>
			<from uri="timer:test" />
			<setBody>
				<simple>random(0,100)</simple>
			</setBody>
			<to uri="milo-server:test-item" />
		</route>
	</camelContext>

</blueprint>

And adding the following Maven build configuration:

<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
	xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">

	<modelVersion>4.0.0</modelVersion>

	<groupId>de.dentrassi.camel.milo</groupId>
	<artifactId>example1</artifactId>
	<version>0.0.1-SNAPSHOT</version>
	<packaging>bundle</packaging>

	<properties>
		<project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
		<camel.version>2.19.0</camel.version>
	</properties>

	<dependencies>
		<dependency>
			<groupId>ch.qos.logback</groupId>
			<artifactId>logback-classic</artifactId>
			<version>1.2.1</version>
		</dependency>
		<dependency>
			<groupId>org.apache.camel</groupId>
			<artifactId>camel-core-osgi</artifactId>
			<version>${camel.version}</version>
		</dependency>
		<dependency>
			<groupId>org.apache.camel</groupId>
			<artifactId>camel-milo</artifactId>
			<version>${camel.version}</version>
		</dependency>
	</dependencies>

	<build>
		<plugins>
			<plugin>
				<groupId>org.apache.felix</groupId>
				<artifactId>maven-bundle-plugin</artifactId>
				<version>3.3.0</version>
				<extensions>true</extensions>
			</plugin>
			<plugin>
				<groupId>org.apache.camel</groupId>
				<artifactId>camel-maven-plugin</artifactId>
				<version>${camel.version}</version>
			</plugin>
		</plugins>
	</build>

</project>

This allows you to simply run the OPC UA server with:

mvn package camel:run

Afterwards you can connect with the OPC UA client of your choice and subscribe to the item test-item, receiving that random number.

Release candidate

As this is currently the release candidate of Camel 2.19.0, it is necessary to add the release candidate Maven repository to the pom.xml. I did omit
this in the example above, as this will no longer be necessary when Camel 2.19.0 is released:

<repositories>
		<repository>
			<id>camel</id>
			<url>https://repository.apache.org/content/repositories/orgapachecamel-1073/</url>
		</repository>
	</repositories>

	<pluginRepositories>
		<pluginRepository>
			<id>camel</id>
			<url>https://repository.apache.org/content/repositories/orgapachecamel-1073/</url>
		</pluginRepository>
	</pluginRepositories>

It may also be that the URLs (marked above) will change as a new release candidate gets built. In this case it is necessary that you update the URLs to the appropriate
repository URL.

What’s next?

Once Camel 2.19.0 is released, I will also mark my old, personal GitHub repository as deprecated and point people towards this new component.

And of course I am happy to get some feedback and suggestions.

Simulating telemetry streams with Kapua and OpenShift

Sometimes it is necessary to have some simulated data instead of fancy sensors attached to your IoT setup. As Eclipse Kapua starts to adopt Elasticsearch, it started to seem necessary to actually unit test the inbound telemetry stream of Kapua. Data coming from the gateway, being processed by Kapua, then stored into Elasticsearch and then retrieved back from Elasticsearch over the Kapua REST API. A lot can go wrong here 😉

The Kura simulator, which is now hosted in the Kapua repository, seemed to be right place to do this. That way we can not only test this inside Kapua, but we can also allow different use cases for simulating data streams outside of unit tests and we can leverage the existing OpenShift integration of the Kura Simulator.

The Kura simulator has the ability now to also send telemetry data. In addition to that there is a rather simple simulation model which can use existing value generators and map those to a more complex metric setup.

From a programmatic perspective creating a simple telemetry stream would look this:

GatewayConfiguration configuration = new GatewayConfiguration("tcp://kapua-broker:kapua-password@localhost:1883", "kapua-sys", "sim-1");
try (GeneratorScheduler scheduler = new GeneratorScheduler(Duration.ofSeconds(1))) {
  Set apps = new HashSet<>();
  apps.add(simpleDataApplication("data-1", scheduler, "sine", sine(ofSeconds(120), 100, 0, null)));
  try (MqttAsyncTransport transport = new MqttAsyncTransport(configuration);
       Simulator simulator = new Simulator(configuration, transport, apps);) {
      Thread.sleep(Long.MAX_VALUE);
  }
}

The Generators.simpleDataApplication creates a new Application from the provided map of functions (Map<String,Function<Instant,?>>). This is a very simple application, which reports a single metric on a single topic. The Generators.sine function returns a function which creates a sine curve using the provided parameters.

Now one might ask, why is this a Function<Instant,?>, wouldn’t a simple Supplier be enough? There is a good reason for that. The expectation of the data simulator is actually that the telemetry data is derived from the provided timestamp. This is done in order to generate predictable timestamp and values along the communication path. In this example we only have a single metric in a single instance. But it is possible to scale up the simulation to run 100 instances on 100 pods in OpenShift. In this case each simulation step in one JVM would receive the same timestamp and this each of those 100 instances should generate the same values. Sending the same timestamps upwards to Kapua. Now validating this information later on because quite easy, as you not only can measure the time delay of the transmission, but also check if there are inconsistencies in the data, gaps or other issues.

When using the SimulationRunner, it is possible to configure data generators instead of coding:

{
 "applications": {
  "example1": {
   "scheduler": { "period": 1000 },
   "topics": {
    "t1/data": {
     "positionGenerator": "spos",
     "metrics": {
      "temp1": { "generator": "sine1", "name": "value" },
      "temp2": { "generator": "sine2", "name": "value" }
     }
    },
    "t2/data": {
     "metrics": {
      "temp1": { "generator": "sine1", "name": "value" },
      "temp2": { "generator": "sine2", "name": "value" }
     }
    }
   },
   "generators": {
    "sine1": {
     "type": "sine", "period": 60000, "offset": 50, "amplitude": 100
    },
    "sine2": {
     "type": "sine", "period": 120000, "shift": 45.5, "offset": 30, "amplitude": 100
    },
    "spos": {
     "type": "spos"
    }
   }
  }
 }
}

For more details about this model see: Simple simulation model in the Kapua User Manual.

And of course this can also be managed with the OpenShift setup. Loading a JSON file works like this:

oc create configmap data-simulator-config --from-file=KSIM_SIMULATION_CONFIGURATION=../src/test/resources/example1.json
oc set env --from=configmap/data-simulator-config dc/simulator

Finally it is now possible to visually inspect this data with Grafana, directly accessing the Elasticsearch storage:

Developing for Eclipse Kura on Windows

Every now and then it is fun to leave the environment you are used to and do something completely different. So this journey take me to IntelliJ and Windows 10. And yes, I am glad to be back in Linux/Eclipse-land. But still, I think something rather interesting came out of this.

It all started when I helped my colleague Aurélien Pupier to get his environment ready for his talk at the Eclipse IoT day Grenoble. If you missed this talk, you can watch a recording of it. He wanted to present the Camel Developer Tools. The problem was the he was working on a Windows laptop. And he wanted to demonstrate Eclipse Kura in combination JBoss Tools IDE. However Kura can only run on Linux and he wanted to run the JBoss Tools native on his Windows machine.

Of course you could come up with some sort of Virtual Machine setup, but we wanted something which was easier to re-produce in the case there would be some issue with the laptop for the presentation.

Creating a docker image of Kura

The first step was to create a docker image of Kura. Currently Kura doesn’t offer any support for Docker. So that had to be created from scratch. As there is even no x86_64 distribution of Kura and no emulator distribution, it was necessary to do some rather unusual hacks. The background is, that Kura has a rather crude build system which assembles a few distributions in the end of the build. Kura also requires some hardware interfaces in order to work properly. For those hardware interfaces there exist emulator replacements for using in a local developer setup. However there is neither a distribution assembly for x86_64 nor one using the emulator replacements. The whole build system in the end is focused around creating Linux-only images. The solution was to simply rip out all functionality which was in the way and create a patch file.

This patch file and the docker build instructions are now located at a different repository where I can easily modify those and hook it up to the DockerHub build system: ctron/kura-emulator. Currently there are three tags for docker images in the Kura Emulator DockerHub repository: latest (which is the most recent, but stable release), 3.0.0-RC1 and develop (most recent, less stable). As there is currently no released version of Kura 3.0.0, the latest tag is also using the develop branch of Kura. The 3.0.0-RC1 tag is a stable version of the emulator which is known to work and won’t be updated in the future.

There is a more detailed README file in the GitHub repository which explains how to use and build the emulator yourself. In a nutshell you can start it with:

docker run -ti -p 8080:8080 ctron/kura-emulator

And afterwards you can navigate with your browser to http://localhost:8080 and use the Kura Web UI.

As Docker is also available for Windows, this will work the same way on either Linux or Windows, and although I didn’t test it, it should also work on Mac OS X.

JMX & Debugging

As the Camel tooling makes use of JMX, it was necessary to also enable JMX support for Kura, which normally is not available with Kura. By setting the JAVA_OPTS environment variable it is not only possible to enable JMX, but also to enable plain Java debugging for the docker image. Of course you will need to publish the selected ports with -p when running the docker image. And for Windows you cannot simply use localhost but you will need to use the IP addresses created by docker for windows: also see README.md.

Drop in & activate

After the conference was over, I started to think about what we actually had achieved by doing all this. We had a read-to-run Kura image, dockerized, capable of running of Windows (with docker), debuggable. The only part which was still missing was the ability to add a new, custom bundle to the emulator.

Apache Felix File Install to the rescue! In the past I created an Apache Felix File Install DP for Kura (DP = deployment package for Kura). File Install works in a way that it monitors a directory and automatically loads, unloads and updates an OSGi JAR file which you drop into this directory. The DP can simply be dropped into Kura, which extends Kura with this File Install functionality.

So I pre-seeded the Kura docker image with the File Install DP and declared a volume mount, so that you can simply mount a path of the docker image onto your host system. Dropping a file into the directory on the host system will make it available to the docker container and File Install will automatically pick it up and start it, but inside the docker container.

docker run -ti -p 8080:8080 -v c:/path/to/bundles:/opt/eclipse/kura/load ctron/kura-emulator

And this even works with Docker for Windows, if you share your drive first:

Share drive with Docker

Choose your tools

Currently Kura requires you to use a rather complicated setup for developing applications for Kura. You will need to learn about Eclipse PDE, target platforms, Tycho for Maven and bunch of other things to get your Kura application developed, built and packaged.

I already created a GitHub repository for showing a different way to develop Kura applications: ctron/kura-examples. Those project use plain maven, the maven-bundle-plugin and my osgi-dp plugin to create the final DP. Those examples also make use of the newer OSGi annotations instead of requiring your to craft all OSGi metadata by hand.

So if you wanted, you could already use your favorite IDE and start developing Kura application with style. But in order to run them, you still needed a Kura device. But with this docker image you can now simply let the emulator run and let File Install pick up the compiled results:

Summary

So yes, it is possible to use IntelliJ on Windows to develop and debug your Kura application, in a stylish fashion. Or you can simply do the same, just using an excellent IDE like Eclipse and an awesome operating system like Linux, with the same stylish approach 😉

IEC 60870-5-104 with Apache Camel

Yesterday the release 0.4.0 of Eclipse NeoSCADA™ was made available. This release features a cool new feature, an IEC 60870-5-104 stack, written in Java, licensed under the EPL and available on Maven Central. See also the Eclipse Wiki: https://wiki.eclipse.org/EclipseNeoSCADA/Components/IEC60870

So it was time to update my Apache Camel component for IEC 60870 and finally release it to Maven Central with proper dependencies on Eclipse NeoSCADA 0.4.0.

For more information about the see my page about the IEC 60870 Apache Camel component.

In a nutshell you can install it with the following commands into a running Karaf container and start using it with Apache Camel:

feature:repo-add mvn:org.apache.camel.karaf/apache-camel/2.18.0/xml/features
feature:repo-add mvn:de.dentrassi.camel.iec60870/feature/0.1.1/xml/features
feature:install camel-iec60870

But of course it can also be used outside of OSGi. In a standalone Java application or in the various other ways you can use Apache Camel.

Testing Kapua with simulated Kura gateways

Now you got your pretty new OpenShift setup of Eclipse Kapua and want to give your IoT cloud a test run?! Testing it out with 100 devices, just for fun? Or even more? But you are too lazy to flash 1000 SD cards for your Raspberry Pi cluster? Here comes the Kura simulator framework. 😉

In order to provide some automatic testing for Kapua I started working on a simulator framework which does simulate Kura instances completely in Java. No backend needed, no hardware needed, able to run multiple instances in a single JVM. And all hosted on GitHub at ctron/kura-simulator.

A screenshot of Kura simulator instances in Kapua
Kura simulator instances in Kapua

The basic idea was to create a set of classes which can be used in automated unit tests in order to simulate a Kura gateway, but allow for a finer grained control over it for testing the good, the bad and the ugly. A real Kura instance would of course be a more realistic test partner, but then again this would have quite a few drawbacks. First of all, Kura cannot be embedded into a unit or integration test. It has far too many dependencies to directory structures, command line utilities, native libraries and it would also require an OSGi container to be started. Second, Kura would always behave like Kura. Now for some tests this may be fine, but if you want to test corner cases where the gateway responds in a way which is not expected by Kapua, then this cannot be done with Kura.

So running a single Kura simulator can be as easy as:

ScheduledExecutorService downloadExecutor = 
   Executors.newSingleThreadScheduledExecutor(new NameThreadFactory("DownloadSimulator"));

GatewayConfiguration configuration =
   new GatewayConfiguration("tcp://kapua-broker:kapua-password@localhost:1883", "kapua-sys", "sim-1");

Set<Application> apps = new HashSet<>();
apps.add(new SimpleCommandApplication(s -> String.format("Command '%s' not found", s)));
apps.add(AnnotatedApplication.build(new SimpleDeployApplication(downloadExecutor)));

try (MqttSimulatorTransport transport = new MqttSimulatorTransport(configuration);
     Simulator simulator = new Simulator(configuration, transport, apps);) {
    Thread.sleep(Long.MAX_VALUE);
    logger.info("Bye bye...");
} finally {
  downloadExecutor.shutdown();
}

Of course, scaling this up and running a few more instances of this isn’t a big deal either. Running this in a docker container and scaling this up even more with OpenShift works fine as well. So testing any number of Gateways just became a lot easier.

Currently the simulator can emulate the command service (V1) and most of the deploy service (V2). The configuration service is still missing, but should get implemented in the next few days. Of course it is also possible to register a custom application and provide some metrics yourself.