Clean architectures in python presented by leonardo giordani
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certainly! clean architecture is a software design philosophy aimed at making systems easier to maintain, test, and scale while preserving high quality. the concept is championed by robert c. martin (uncle bob), but many practitioners, including leonardo giordani, have contributed to the discussion and exploration of these principles in various languages, including python.
overview of clean architecture
clean architecture emphasizes the separation of concerns and the organization of code into layers. the main goal is to allow for independence of frameworks, ui, database, and any external agency. the architecture is generally divided into the following layers:
1. **entities**: core business logic and rules.
2. **use cases**: application-specific business rules.
3. **interface adapters**: convert data from the format most convenient for the use cases and entities to the format most convenient for the external agencies (ui, database, etc.).
4. **frameworks and drivers**: the outermost layer, which includes frameworks and tools like databases, ui frameworks, etc.
key principles
1. **dependency rule**: source code dependencies must point inwards. this means that dependencies can only point from outer layers to inner layers.
2. **independence**: the architecture should not depend on any external agency, which makes it easier to change frameworks or databases.
code example
let’s create a simple example of a clean architecture implementation in python for a task management application. the application will allow users to create and list tasks.
1. entities layer
the **entities** layer contains the core business logic. here, we define a `task` entity.
2. use cases layer
the **use cases** layer contains the application-specific business logic. here, we define a use case for creating and listing tasks.
3. interface adapters layer
the **interface adapters** layer handles data conversion between the use cases and the external systems. w ...
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