uuid VS fastapi

https://github.com/gofrs/uuid upto v5

I use Google's UUID package a lot. But every time I refer to it in a new package, the language server picks up https://github.com/gofrs/uuid instead of https://github.com/google/uuid and then complains that the gofrs package isn't in go.mod. I assume because it's the first alphabetically (though this seems like a huge supply chain security loophole).

What makes this different than https://github.com/gofrs/uuid ?

Something to note is that all of this is still open source. Theoretically, someone can decide to fork SQLBoiler and add all the missing things, or send in a PR. A good example is that the current most popular uuid package. gofrs/uuid was forked from an unmaintained previously popular package.

You could also look at github.com/gofrs/uuid which includes support for v6 and v7 from the latest draft UUID spec. Personally I think the API for this library is nicer since the google one makes it difficult to tell what kind of UUID you are generating.

Postgres has native UUID support so don't use VARCHAR(36). Look at https://github.com/gofrs/uuid library, among others, to create uuid.

If you're using this library and are unsure what to do, a few of us maintain a fork of this library that has fixed these issues (and others): https://github.com/gofrs/uuid

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.

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: