inwards! Nothing in an inner circle can know anything at all about something in an outer circle. In particular, the name of something declared in an outer circle must not be mentioned by the code in the an inner circle. That includes, functions, classes. variables, or any other named software entity.
An entity can be an object with methods, or it can be a set of data structures and functions. It doesn’t matter so long as the entities could be used by many different applications in the enterprise.
application specific business rules. It encapsulates and implements all of the use cases of the system. These use cases orchestrate the flow of data to and from the entities, and direct those entities to use their enterprise wide business rules to achieve the goals of the use case.
a set of adapters that convert data from the format most convenient for the use cases and entities, to the format most convenient for some external agency such as the Database or the Web.
of frameworks and tools such as the Database, the Web Framework, etc. Generally you don’t write much code in this layer other than glue code that communicates to the next circle inwards. This layer is where all the details go. The Web is a detail. The database is a detail. We keep these things on the outside where they can do little harm.
Case Use Case Domain Model Data Source Implementation Repository Repository Data Source Data Source Data Source Implementation Presentation Layer Domain Layer Data Layer
the presentation layer from the logic, so that everything about how the interface works is separated from how we represent it on screen. Ideally the MVP pattern would achieve that same logic might have completely different and interchangeable views.
the same problems • Both patterns are going to improve code quality and testability. • Think about these patterns and use the one you understand better.
logic that retrieves the data and maps it to the entity model from the business logic that acts on the model. The business logic should be agnostic to the type of data that comprises the data source layer. For example, the data source layer can be a database, a SharePoint list, or a Web service.
the usage of Dependency Inversion. It consists of passing dependencies (inject them) via constructor or setter in order to extract the task of creating modules out from other modules. Objects are instantiated somewhere else and passed as constructor attributes when creating the current object.
and configured externally we can reuse those components. • We can just change the implementation of any object without having to make a lot of changes in our codebase, since that object instantiation resides in one place isolated and decoupled. • Dependencies can be injected into a component: it is possible to inject mock implementations of these dependencies which makes testing easier.
new problem. If we can’t create modules inside modules, there must be a place where those modules are instantiated. • Modules with huge constructors including lots of dependencies, code will become dirty and hard to read.
module in our app that is in charge of providing instances of the rest of modules and inject their dependencies. • Service Locator • Swinject • Typhoon
is decoupled from domain • Domain module can be a layer module. • Data layer decouples the rest of the app • Independent of Frameworks. • Independent of UI • Independent of Database • Entities Representing Enterprise Rules
not hard, and will save you a lot of headaches going forward. By separating the software into layers, and conforming to The Dependency Rule, you will create a system that is intrinsically testable, with all the benefits that implies. When any of the external parts of the system become obsolete, like the database, or the web framework, you can replace those obsolete elements with a minimum of fuss. #Uncle Bob
• Use design patterns on smart way • Avoid coupled code and strive for loosely coupled design between objects that interact • Avoid expensive tasks executed on main thread • Maintain a clean code style • Write Clean and Solid Code • Favor composition over inheritance • If your code is coupled the Refactor is your friend • Write test is your responsibility Advices
Bob - Architecture the lost years 03 Further Reading 04 https://speakerdeck.com/karumi/architecting-your-apps-for-ui-testing Alberto Gragera - Architecting your apps for UI Testing https://erikcaffrey.github.io/ANDROID-clean-architecture/ Erik Jhordan Rey - Clean Architecture