wrangler-legacy VS fastapi

Recently, as a weekend hobby project, I created a Slack app development framework for Cloudflare Workers and Vercel Edge Functions.

Edge Runtime has become a buzzword in the technology landscape, driving dynamic, low-latency functions in platforms from AWS Lambda@Edge and Cloudflare Workers to Vercel Edge. Emphasizing its importance, Vercel recently changed "experimental-edge" to "edge", signaling official support in their popular Next.js framework.

It seems like the perfect usecase for Cloudflare Workers.

For this tutorial, I’ll use Cloudflare Workers as they’re really fast and easy to set up, but you can use pretty much any other serverless provider with support for JS.

Cloudflare has a wonderful serverless platform called Cloudflare Workers that allows you to write code without worrying about underlying hardware or software. Yesterday, they announced that Workers now have the ability to connect directly over TCP sockets. I want to use this feature to send an APRS packet to CWOP.

Sounds doable with Cloudflare Workers

That’s when I found FastAPI.

FastAPI & Uvicorn

Discussion at FastAPI GitHub: https://github.com/tiangolo/fastapi/issues/2696

An API application framework (such as FastAPI)

It’s been my experience that async Python frameworks tend to turn IO bound problems into CPU bound problems with a high enough request rate, because due to their nature they act as unbounded queues.

This ends up made worse if you’re using sync routes.

If you’re constrained on a resource such as a database connection pool, your framework will continue to pull http requests off the wire that a sane client will cancel and retry due to timeouts because it takes too long to get a connection out of the pool. Since there isn’t a straightforward way to cancel the execution of a route handler in every Python http framework I’ve seen exhibit this problem, the problem quickly snowballs.

This is an issue with fastapi, too- https://github.com/tiangolo/fastapi/issues/5759

Fast API.

We will create our API using FastAPI, a modern high-performance web framework for building fast APIs with Python. It is designed to be easy to use, efficient, and highly scalable. Some key features of FastAPI include:

FastAPI is a modern, fast, web framework for building APIs with Python 3.7+ based on standard Python type hints. It is designed to be easy to use, fast to run, and secure. In this blog post, we’ll explore the key features of FastAPI and walk through the process of creating a simple API using this powerful framework.

FastAPI is a modern, fast web framework for building APIs with Python 3.7+ that automatically generates OpenAPI and JSON Schema documentation. While FastAPI simplifies API development, manually creating and updating API documentation can still be a time-consuming task. In this blog post, we’ll explore how to leverage FastAPI’s automatic documentation generation capabilities, specifically focusing on Swagger and ReDoc, and how to streamline the process of documenting your APIs.