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Building a RESTful To-Do API with Clean Architecture in Python
Building a RESTful To-Do API with Clean Architecture in Python APIs power modern apps, but without good structure they become tangled. In this tutorial, you’ll learn how to create a simple To-Do API in Python—organized with clean architecture patterns for maintainability and testability. Table of Contents What You’ll Build Why Clean Architecture? Project Structure Step 1: Define Entities Step 2: Use Cases (Business Logic) Step 3: Interface Adapters (Controllers & Repos) Step 4: Framework & Drivers (Flask) Step 5: Testing Next Steps What You’ll Build A minimal To-Do API with endpoints to: Create a task List all tasks Update a task’s status Delete a task All following clean architecture layers so code remains decoupled and easy to evolve. Why Clean Architecture? Clean architecture separates concerns into layers: Entities: Core business objects Use Cases: Business rules Interface Adapters: Convert data between layers Framework & Drivers: External tools (e.g., Flask) Benefits: Testable business logic Easier to swap frameworks or databases Clear dependency rule: outer layers depend on inner ones Project Structure
Building a RESTful To-Do API with Clean Architecture in Python
APIs power modern apps, but without good structure they become tangled. In this tutorial, you’ll learn how to create a simple To-Do API in Python—organized with clean architecture patterns for maintainability and testability.
Table of Contents
- What You’ll Build
- Why Clean Architecture?
- Project Structure
- Step 1: Define Entities
- Step 2: Use Cases (Business Logic)
- Step 3: Interface Adapters (Controllers & Repos)
- Step 4: Framework & Drivers (Flask)
- Step 5: Testing
- Next Steps
What You’ll Build
A minimal To-Do API with endpoints to:
- Create a task
- List all tasks
- Update a task’s status
- Delete a task
All following clean architecture layers so code remains decoupled and easy to evolve.
Why Clean Architecture?
Clean architecture separates concerns into layers:
- Entities: Core business objects
- Use Cases: Business rules
- Interface Adapters: Convert data between layers
- Framework & Drivers: External tools (e.g., Flask)
Benefits:
- Testable business logic
- Easier to swap frameworks or databases
- Clear dependency rule: outer layers depend on inner ones
Project Structure
