FastAPI Architecture Overview

Here is an overview of the key concepts of REST architecture in FastAPI:

• Asynchronous Support: FastAPI is asynchronous by default, meaning it can handle multiple concurrent connections efficiently. This is important for building high-performance APIs.
• RESTful Routing: FastAPI follows RESTful principles, which define routes (endpoints) for the API, each of which maps to a specific HTTP method and a resource (e.g., user, product).
• Data Validation: FastAPI uses pydantic models to design request and response structures for data. Implementation of automatic data validation and serialization reduces the possibility of error.
• Automatic API Documentation: Dynamic API documentation (Swagger/OpenAPI) is automatically generated using FastAPI. This helps developers verify and fully understand the API without the need for manual documentation.
• Dependency Injection: Dependencies can be used to manage common logic, such as database connection or authentication. It supports problem separation and code reuse.
• Request and Response Handling: FastAPI makes it simple to handle incoming requests and generate responses. It supports JSON parsing and validation and provides simple ways to retrieve request data, parameters, and headers.
• Authentication and Authorization: FastAPI can be integrated with various authentication methods and authorization frameworks, effectively securing the API.
• CORS Support: It includes built-in cross-origin resource sharing (CORS) support, making it easy to handle API requests from different domains.
• Middleware: FastAPI supports custom middleware, which enables adding pre-processing and post-processing logic to requests and responses.
• WebSocket Support: FastAPI goes beyond REST and provides WebSocket features for real-time communication across apps.
• Integration with Other Libraries: FastAPI makes it possible to use pre-existing technologies by easily integrating with other Python libraries and frameworks, including SQLAlchemy, databases, and ORM.

FastAPI is a modern web framework for building APIs with Python. When developing a RESTful API with FastAPI, you can follow a REST architectural style, which stands for Representational State Transfer. In this article, we will learn about the FastAPI-Rest Architecture. Before going let’s understand the following concepts:

• FastAPI is a modern, fast (high-performance), web framework for building APIs with Python 3.6+ based on standard Python type hints. It is designed to be easy to use, efficient, and reliable, making it a popular choice for developing RESTful APIs and web applications.

• Representational State Transfer (REST) is an architectural style that defines a set of constraints to be used for creating web services. REST API is a way of accessing web services in a simple and flexible way without having any processing.

Fundamentals of Rest APIs

Resources: RESTful APIs use the concept of resources to represent data. Resources can be anything, such as users, products, or orders.

HTTP Methods: RESTful APIs use HTTP methods or verbs to perform CRUD (create, read, update, and delete) operations on resources.
There are 39 different methods available. However, here are five main methods used in REST API:

• GET – Retrieves a specific resource or collection of resources.
• POST – Creates a new resource.
• PUT – Updates an existing resource.
• DELETE – Deletes a specific resource.
• PATCH – Partially updates an existing resource

Representation: RESTful APIs serialize and deserialize data using different formats. The most common representation is JSON.