semantic-release VS fastapi

I'm trying to improve the security behind our release process, which uses semantic-release. During this process, it creates a change log which is committed to the repo, publishes a package and a few other things.

Conventional commits specification contains a set of rules for creating an explicit commit history, which makes it easier to write automated tools on top of, for example, semantic release. You can manually follow this convention in your project or use a tool to assist you, such as Commitizen.

When working with JavaScript projects, managing version numbers and commit messages is important for the maintainability of the project. Since 2020 I have been the main developer of Atomic Calendar Revive a highly customisable Home Assistant calendar card, I found maintaining versions and releases to be cumbersome until recently. In this article, I will introduce the commitizen and semantic-release packages for creation or appropriate commit messages and semantic versioning. I will also provide examples of how I am currently using these packages to streamline my release workflow and project maintenance.

To further streamline deployments, I introduced semantic-release. This tool automates commit tagging and tracks changes since the previous version. As a result, deployments now occur only when new tags are present, saving us valuable minutes.

If your projects ar made in javascript and related tools, I'd suggest you to check: semantic-release

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.