Full Stack FastAPI: A High-Level Python-based Framework for Modern Web Applications
With the tremendous evolution in web technology, the search for lightweight but powerful back-end frameworks is on. One such powerful Python-based framework that has been growing in popularity is discerned in a GitHub project named 'Full Stack FastAPI' - a template for back-end development, capable of creating modern web applications.
The relevance of the Full Stack FastAPI extends to its capabilities in handling heavy traffic applications that require high-performance back-end services. Modern software developers, especially those working on complex web applications, are the primary target audience of this project.
Project Overview:
Full Stack FastAPI is essentially a full stack, Docker-based template centered around the FastAPI Python framework. It aims to provide a solid back-end foundation for web applications while ensuring high speed and performance. The project addresses the challenge of devising an efficient back-end solution that is easy to scale, integrates smoothly with front-end frameworks, and performs at optimum levels even under high traffic conditions.
Project Features:
Full Stack FastAPI brings forth several impressive features, such as interactive API documentation, deployment with Docker, and server-side templates with Jinja It also incorporates OAuth2 with JWT tokens for secure and reliable authentication. Additionally, the project provides for background tasks managed by Celery, employing the power of the async capability of Python.
Through FastAPI, it brings on board automatic request validation, serialization, and interactive documentation powered by Swagger. The HTTPS support ensures secure communication and the project also facilitates easy integration with PostgreSQL and SQLAlchemy for robust database management.
Technology Stack:
The Full Stack FastAPI primarily uses the Python-based FastAPI framework. The reason behind choosing FastAPI lies in its speed, easy usability, and built-in features like automatic interactive API documentation. FastAPI is also highly compatible with both REST and GraphQL APIs, adding versatility. Notable tools incorporated include HTTPX for HTTP client, PostgreSQL for storage, SQLAlchemy as an ORM, and Docker for deployment.
Project Structure and Architecture:
Full Stack FastAPI employs a neat three-part architecture consisting of a web application, a worker, and a beat (schedule). It follows a modular approach where the project is divided into independent apps, each addressing a different aspect of the application. It uses Docker Compose for service orchestration and leverages the power of Celery and Flower for background tasks and task monitoring respectively.
