If we write our own handler class it is not so difficult to get objects from the registry and use them in the code. In our handler we have a handle method and we get a Context object as argument. From the Context we get access to objects in the registry. Instead of writing code to get the objects from the registry we can use the InjectionHandler as superclass for our handler. The InjectionHandler class has a handle method that will look for a handle method in our implementation class with a first argument of type Context. Then at least one other argument must be defined in the method signature. The types of the other arguments are used to get the corresponding objects from the registry. We don't write the code to get the object from the registry ourselves, but rely on the implementation in the InjectionHandler class.
The following example handler class extends from the InjectionHandler. We write a handle method and from the signature we see that we have a dependency on the type Messages. In the implementation of the handle method we can rely on the InjectionHandler class to get an object from the registry with type Messages.
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Interesting links for week 3 2016:
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The logging framework SLF4J supports Mapped Diagnostic Context (MDC). With MDC we can use a logging context that can be identified by something unique. This is useful, because then we can distinguish log messages from a big logging stream by something unique. Normally MDC is implemented on a per thread basis, but that is not useful in a Ratpack application. Ratpack provides the MDCInterceptor class to use SLF4J's MDC support in a Ratpack application. We must register an instance of MDCInterceptor with the registry. We can use the static method instance to create a new instance. With the method withInit we can define an action to be executed for the initialisation of the instance. An Execution parameter is used with the action and we can use it to check for objects in the registry.
In the following example we initialise the MDCInterceptor and check if there is a RequestId object in the registry (as described in the Javadoc of MDCInterceptor). If the RequestId object is available we set the MDC logging context variable requestId with the value of the RequestId object. Later in our logging configuration we can use this value so we can distinguish all logging statements belonging to a single request (with the given identifier).
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Ratpack has the ratpack.server.Service interface with the methods onStart and onStop. If we write an implementation class for the Service interface and register it with the Ratpack registry, then Ratpack will invoke the onStart method when the application starts and the onStop method when the application stops. The methods take an event object as argument and we can use the event object to access the registry if we need to. Writing an implementation for the Service interface can be useful for example to bootstrap the application with initial data or do other things.
In the following example implementation we log when the application starts and stops. In the onStart method we also display a Ratpack banner on the console.
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In Ratpack we can use the byContent method on the Context object to send different responses based on the requested MIME type from the client. There is already support for application/json, application/xml, text/plain and text/html MIME types with corresponding methods of the ByContentSpec object that is passed as argument to the byContent method. We can match on a custom MIME type with the method type and specify the MIME type. If the type matches we can create a response.
In the following example application we have a custom renderer for a User object:
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When we use the render method in our Ratpack application then Ratpack will use the type of the object we want to render to find an appropriate renderer. Some renderers are built-in, like a Promise or CharSequence renderer. We can write our own renderers by implementing the ratpack.render.Renderer interface. Next we must register our renderer in the Ratpack registry.
In our example application we have a very simple User class:
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Ratpack has the class ratpack.handling.ReponseTimer which adds a header with the name X-Response-Time to the response. The value is the time spent in code from when the request comes in and the response is sent out. ResponseTimer is a handler we can add in our application. Alternatively we can use the static method decorator to get a handler decorator. With a handler decorator we can use the registry to add handler logic in our application.
First we use the ResponseTimer as a handler:
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When you want to limit the amount of messages an actor gets, you can use the throttler in akka-contrib. This will let you limit the max transactions per second(tps). It will queue up the surplus. Here I'll describe another way. I'll reject all the surplus messages. This has the advantage that the requester knows it's sending too much and can act on that. Both methods have their advantages. And both have limits, since they still require resources to queue or reject the messages. In Akka we can create an Actor that sends messages through to the target actor, or rejects them when it exceeds the specified tps.
object ThrottleActor {
object OneSecondLater
object Accepted
object ExceededMaxTps
}
import ThrottleActor._
class ThrottleActor (target: ActorRef, maxTps: Int) extends Actor with ActorLogging {
implicit val executionContext: ExecutionContext = context.dispatcher
context.system.scheduler.schedule(1.second, 1.second, self, OneSecondLater)
var messagesThisSecond: Int = 0
def receive = {
case OneSecondLater =>
log.info(s"OneSecondLater ${DateTime.now} $messagesThisSecond requests.")
messagesThisSecond = 0
case message if messagesThisSecond >= maxTps =>
sender ! ExceededMaxTps
messagesThisSecond += 1
log.info(s"ExceededMaxTps ${DateTime.now} $messagesThisSecond requests.")
case message =>
sender ! Accepted
target ! message
messagesThisSecond += 1
}
}
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Russel Hart has a nice example on how to extend the Ratpack Groovy DSL in the hands on ratpack project on Github. We can use the Groovy extension module feature to add new methods to arbitrary classes. If we use this to add new methods to the GroovyChain class we can use those methods in the DSL of our Groovy Ratpack application.
A Groovy extension module is just a class with a definition of the new methods we want to add to a class. The first argument of the method is the class the method is added to and the remaining arguments can be used by the implementation. We also need to create a supporting file org.codehaus.groovy.runtime.ExtensionModule with some information about our extension class. This supporting file needs to be in the classpath in the directory META-INF/services.
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In a previous post we have seen how to use regular expressions for path tokens. We can also name the path token for which the regular expression applies. This makes it easier to get the value in our handler code: we can just refer to the name. Also we can add a question mark to the name to make the token optional.
In the following example we use the name conferenceName for the path token with the regular expression Gr\w+:
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