Python Application Architecture FAQs

Question 1

What is the Functional Core / Imperative Shell pattern?

Accepted Answer

It is a design pattern that separates pure, testable business logic (Core) from side-effect-heavy code like IO, databases, and APIs (Shell) to improve testability and maintainability.

Question 2

How does this skill handle data modeling?

Accepted Answer

It leverages Pydantic for API boundaries and validation, while employing standard library dataclasses for internal domain models to keep the core logic lightweight and dependency-free.

Question 3

When should I use this Python architecture skill?

Accepted Answer

Use it when designing new Python backends or refactoring existing ones to ensure high code quality, testability, and clear separation of concerns between business logic and infrastructure.

Question 4

How does it manage dependencies between layers?

Accepted Answer

It enforces a bottom-up dependency flow where Routers depend on Services, Services depend on Repositories, and Repositories depend on Entities, ensuring that the core domain never depends on external frameworks.

Question 5

Does this skill support Domain-Driven Design (DDD)?

Accepted Answer

Yes, it provides specific implementation patterns for DDD concepts including Entities with encapsulated behavior, immutable Value Objects, and the Repository pattern for abstracting storage.

Python Application Architecture

主要功能

使用场景

Python Application Architecture

主要功能

使用场景