FastAPI Clean Architecture Refactoring

Refactors FastAPI apps into layered router, service, and repository architecture.

Updated Aug 19, 2024
One-click install
npx skills add https://github.com/leonj1/cat-emails --skill fastapi-clean-architecture-refactoring
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: FastAPI Clean Architecture Refactoring
Source: https://github.com/leonj1/cat-emails/tree/main/.claude/skills/fastapi-clean-architecture
Command: npx skills add https://github.com/leonj1/cat-emails --skill fastapi-clean-architecture-refactoring

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill addresses the issue of bloated FastAPI handlers that mix business logic, database access, and HTTP concerns, leading to code that is difficult to maintain and test.

Core Features & Use Cases

  • Layered Architecture: Guides the transformation of monolithic FastAPI applications into a clean, layered architecture (Routers, Services, Repositories).
  • Domain-Driven Design: Promotes the use of domain-specific exceptions and handlers for robust error management.
  • Use Case: Refactor a FastAPI endpoint that currently handles user registration by directly querying a database and performing complex validation within the handler function, into a structure with thin handlers, dedicated service logic, and a repository for data access.

Quick Start

Apply the FastAPI Clean Architecture Refactoring skill to the provided user registration endpoint code.

Frequently Asked Questions about FastAPI Clean Architecture Refactoring

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I separate business logic from database access in FastAPI handlers?

To separate business logic from database access in FastAPI handlers, refactor monolithic functions into a clean, layered architecture. This divides code into router, service, and repository layers, transforming fat endpoints into thin, testable units with extracted logic.

What is clean architecture in FastAPI and when do I need it?

Clean architecture in FastAPI is a design pattern that separates concerns into distinct router, service, and repository layers. You need it when your endpoints become bloated, mixing HTTP concerns, complex validation, and direct database queries, making the application difficult to maintain and test.

How do I implement domain-specific exception handling in a FastAPI layered architecture?

To implement domain-specific exception handling in a FastAPI layered architecture, define custom exceptions within your domain layer and use dedicated exception handlers. This ensures robust error management across the separated service and repository layers without cluttering the router.

Does FastAPI work with domain-driven design for refactoring monolithic endpoints?

FastAPI works effectively with domain-driven design for refactoring monolithic endpoints. This approach promotes using domain-specific exceptions and handlers, facilitating the transformation of mixed endpoint logic into separated service logic and repository data access operations.

What is the best way to refactor a FastAPI user registration endpoint mixing validation and database queries?

The best way to refactor a FastAPI user registration endpoint is to extract the complex validation and direct database queries into a dedicated service layer for logic and a repository layer for data access, leaving a thin router handler for HTTP request processing.

Why do my FastAPI handlers have domain logic mixed with HTTP concerns and how do I fix it?

FastAPI handlers have domain logic mixed with HTTP concerns because they evolved into monolithic functions handling multiple responsibilities. Fix this by applying a clean architecture refactor to separate concerns, extracting business logic and data access operations out of the router.