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Esfand S

MVP vs MVC - 0 views

  •  
    In MVC, the model is heavy with business rules and data access, the view contains the presentation logic, and the controller is typically a framework component with an XML configuration to drive it. In MVP, the model is lightweight POJO value objects, the view is mockable, and the presentation is specific to the model and the view. It is the presentation that has all the dependencies and glue code for the model\nand the view. You get more code coverage in your unit testing with MVP so MVP and TDD go together.
Esfand S

GWT and Spring - with Spring Web MVC or without it? - Google Web Toolkit | Google Groups - 0 views

  • MVC implies that the server handles much of the view - with a GWT application the server is reduced to a glorified DAO. All you really need is integrate services from the backend into the frontend. What we really missing is something like RMI for the browser - GWT's RPC is as good as it gests for this purpose and and libraries like the GWT-SL allow you to directly publish Spring managed POJOs as services over RPC into the client.
Esfand S

History and server call. - Google Web Toolkit | Google Groups - 0 views

  • First, though, I think you shouldn't call it MVP. In my opinion it seems that what you're doing is MVC where the model is helped out by RPC. There is already so much variety in the meanings of this (MVP, MVC, etc...), especially with Activities and Request Factory coming into the picture that terminology is becoming important. Not because I don't know what you're describing, but because someone new to the frameworks will get thoroughly confused.
Esfand S

GWT MVP - Google Web Toolkit | Google Groups - 0 views

  • For your convenience, here is the net of it. With MVC, the model is thick with business rules and glue code to a data access layer. The view has lots of dependencies on the model. The controller is usually a framework component driven by some kind of configuration, usually XML based. With MVP, the model is lightweight POJOs. The view is mockable. It is the presenter that is heavy with glue code and business rules. The thinking here is that MVP is more suited for TDD than MVC. Another notable feature of MVP in GWT apps is the use of an event bus instead of hard coded event handler dependencies. Typically, that event bus is implemented as either the HandlerManager from GWT itself or the PropertyChangeSupport class from the GWTx library.
Esfand S

new GWT MVP article (part 2) - Google Web Toolkit | Google Groups - 0 views

  • originally the MVP pattern was design for separating the view from its logic and the model it is displaying (as the MVC). Since the arriving of UIBinder I found the word View misused. Actually, strictly speaking the View is contained in the ui.xml file and the "Controller" is the corresponding java file which is implementing the corresponding logic and instanciation. This file merely represents a kind of Controller. The Presenter used in this tutorial is (for me) nothing more than a ControllerProvider which enable the ability to provide differents implementations of the view logic. What I'm founding strange is the fact that their are using the same acronym (MVP) for two differents approaches :  - first one was Presenter centered as the abstraction was done on Display and aggregation were done against the presenter  - second one was Display AND Presenter centered as the abstraction is done on Presenter and Display the both referencing each other. But this approach is mainly due to the fact that UIBinder is removing a lot of boiler plate code from event handling (and first MVP tutorial was not using it), but in the same way UIBinder tends people to adapt the original MVP pattern to be able to use all its power ! That why there is so much reflexion to mix UIBinder and MVP together.
Esfand S

overlook - Tech Blog - 2 views

  • The main issue in MVC is that these three elements are tighly bound together: the controller has to register to both the model and the view (and unregister if either changes), and when a view serves multiple controllers or a controller uses multiple models, that becomes quickly a mess.
  • MVP approach is more message-oriented. All messages (events) are fired on a single EventBus that is shared by all Presenters. Each presenter listens to events of interest, and fires new events according to actions. So a change in the in the EmployeeModel may be fired with an EmployeeModelChangedEvent, instead of attaching a listener to the model object. And we can easily create new Presenters that receive that same event and react accordingly.
  • The magnitude of such a shift is great: the model is no more the center and source of events (which would require special care in attaching and detaching to a specific instance), but it more a passive container of data, which may be copied, proxied, transformed, cached, without the GWT appliction any special care.Since the model is more a container of data ment for communication, I've highlighted the fact that it needs to be Serializable.
  • ...11 more annotations...
  • It is now the time to introduce the Model in GWT 2.1. The direction taken in 2.0.x has been pushed one step further, so that the Model is, in fact, only a Data Transfer Obejct (DTO). A DTO is an object whose main purpose is to be transferred, usually from one Tier to another Tier of a layered architecture such as Browser/Server/Database.
  • Value Store, the package that defines the Model/DTO programming interface.
  • Valuestore is the management interface that performs CRUD (Create, Read, Update, Delete) operations on the Records, like Entity Manager in JPA and Persistence Manager in JDO.
  • The first interface to discuss is Record, the base interface to implement to define a DTO class. A Record holds data for a single instance of an entity. Let's suppose that in your server-side business model there's an entity called 'Employee' to represent a company employee list.  To use it on the client side, you would need to define an EmployeeRecord class to hold the values of one of your employees, e.g. the employee name, birth date, etc.
  • A Record is able to provide values using Property objects as keys. The properties are type-aware, so that the employee name is a Property<String>, the employee birth data a Property<Date>, and so on. The following table reports these elements in a single example:
  • The Record interface doesn't provide a generic reflection mechanism, so it's not possible to inspect a Record to know what kind of Properties it is made of. The current implementation RecordImpl, which delegates to JavaScriptObject implementation and provides JSON serialization, is actually holding a schema of the record properties in a RecordSchema object.
  • note the annotation @DataTransferObject, that GWT uses to map the record to the equivalent server-side class. By declaring the connection, GWT is capable of binding automatically the interface properties with the JPA-annotated properties, thus greatly reducing the amount of boilerplate mapping work to be performed.
  • Of course, when you add or modify a property in your real Model, appropriate changes must be applied to the equivalent Record. That's where the teamwork with Spring Roo comes handy: Spring Roo generates and keeps aligned a lot of these elements, and would reflect (overwrite) your EmployeeRecord java file every time you change your domain model definition.
  • As a general rule, you are encouraged to define specific interface methods to extract data from you Record, e.g. getName() to get the Employee name. Record exposes also method to retrieve a value given a property. For instance, in a Renderer of a CellTree, when you are given an EmployeeRecord you should access its data through public getter methods.
  • The model-agnostic way that GWT uses to access a value is the Record.get(Property<V>) method. There's also a way to get not the value itself, but a PropertyReference<V>, which is just the property of a specific record, e.g. the Property 'name' of Record 'r2' in the example table above. In a few words, a property reference is just a value, which is exactly how Value<V> is defined. That is most useful to perform late bindings during RPC calls when the data is not yet available.
  • The DeltaValueStore is also worth mentioning a few words: as your model is now decomposed in Records and Properties, it is also possible to transfer only the data you need to. Hence the retrieval requests can dowload only a few properties of the Records. Furthermore, 'Update' operations can transmit back only the user changes (delta) instead of whole objects, which may give a nice performance boost.
Esfand S

Presenter First - 0 views

shared by Esfand S on 13 May 10 - Cached
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