login-with-metamask VS fastapi

Also strongly considering creating a jwt.io replicate with Django and FastAPI next time, which will include not just JWT generation with friendly UI, but also Web3 digital signing (read more here), their both encryption and decryptions as well, which are really pain in the ass and a must for a Web3 dev.

The metamask wallet plugin has an implementation. https://www.toptal.com/ethereum/one-click-login-flows-a-metamask-tutorial

I'm reading up on https://www.toptal.com/ethereum/one-click-login-flows-a-metamask-tutorial guide for using Metamask as a one click login.

I am planning to create a more detailed documentation, add more testing and create a sample-app for demonstrations. I would really appreciate it if you test it out and tear it apart if you want. Feel free to contribute in any way possible. Also followed this tutorial for the basics https://www.toptal.com/ethereum/one-click-login-flows-a-metamask-tutorial

One-click Login with Blockchain - A MetaMask Tutorial by my former colleague Amaury Martiny.

Here's a tutorial that looks interesting:

https://www.toptal.com/ethereum/one-click-login-flows-a-meta...

He is probably most well know for creating FastAPI that I taught to some of my clients and Typer that I've never used.

It has been an interesting exercise developing this wrapper component. The fact that it seamlessly integrates with the FastAPI framework is just a bonus for me; I didn't plan for it since I hadn't learned FastAPI at the time. I hope you find this post useful. Thank you for reading, and stay safe as always.

FastAPI is a modern, high-performance web framework for building APIs with Python, based on standard Python type hints.

In this tutorial, I will demonstrate how to use Burr, an open source framework (disclosure: I helped create it), using simple OpenAI client calls to GPT4, and FastAPI to create a custom email assistant agent. We’ll describe the challenge one faces and then how you can solve for them. For the application frontend we provide a reference implementation but won’t dive into details for it.

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.