drf-yasg VS flyctl

I believe drf-yasg what you need. You can create a schema manually and define request and response types for your small API.

Check this out: https://drf-yasg.readthedocs.io/en/stable/

There's also the caveat of having different API documentation for both the frontend solution and the API-only solution, since I don't want to expose the frontend-specific endpoints to the API-only endpoints, but I think that might just take some time playing around with swagger: https://drf-yasg.readthedocs.io/en/stable/

Swagger and OpenAPI capabilities using drf-yasg, where you can only see endpoints and Swagger docs if you have a valid Token

The major apps are news and accounts. While the former handles almost all the physical functionalities of the system, the latter only does user stuff. The api app exposes the data for consumption. It is documented using drf-yasg, a Swagger generation tool implemented without using the schema generation provided by Django Rest Framework. The api has a token-based authentication which requires that all POST requests must provide a token to be accepted, otherwise a not too interesting response:

Our RESTful API was actually the easiest to document, because we were able to rely on third-party libraries from the start. It was a Python Django and Django REST Framework project that leveraged the drf-yasg OpenAPI generator library to create OpenAPI and Swagger compatible documentation.

This post will go through how to document your DRF APIs using https://github.com/axnsan12/drf-yasg/ package.

To begin with, you could go with a Platform-as-a-Service (PaaS) provider like Heroku, or Fly for a more seamless experience. You can also do a bit of DevOps: set up a Docker installation on a VPS and deploy your app there.

To begin visit fly.io to create an account. Next install flyctl a command line tool for creating and deploying fly apps. macOS

For frontend deployment, I used Netlify (for the generous free package) and the recommended fly.io for server + database (also cheap package).

Create an account on Fly.io.

You can learn more about fly.io and tigris, we will need to create an account on both platforms for this project regardless. Anyway with the theory out of the way let's get started in the next section as we create our accounts and start building the app.

Fly.io is a platform that helps you run your apps and databases closer to your users all around the world. It takes your app code, packages it up neatly, and puts it on virtual machines that can be quickly started or stopped. This makes your app faster for users and more reliable. Fly.io is easy to use, works well for small projects or personal apps. It's a great way to make sure your app runs smoothly for people no matter where they are.

In this post, we'll start from scratch, running FerretDB locally via Docker, trying out the connection with mongosh and the MongoDB Node.js client, and finally deploy FerretDB to Fly.io for a production ready set up.

2- fly.io

Fly is a cloud platform that focuses on global edge computing. Fly specializes in high-performance hosting and provides a global network of edge locations. Fly is known for its scalability and performance optimizations.

But videototextai.com is built using NextJS + Firebase auth + Firestore and a backend deployed at fly.io . Fly makes it really easy to deploy docker containers and that is IMO the fastest way to develop, you can setup a local setup