djongo VS uvicorn

This open issue has some discussion on dependency wonkiness that helped me fix mine.

To try and save on costs and because I like NoSQL databases, I wanted to put my database up on Cosmos DB. The easiest way to do this was with its MongoDB API and the Djongo backend.

If you want to go with Mongodb you should try Djongo https://www.djongomapper.com/

This was my first time using MongoDB as the database for a website which was a really great experience of using NoSQL specially MongoDB Atlas, I'm also planning to use it in my future projects. I learned about pymongo package and djongo availabe for python. I took help from How to Use Django with MongoDB document. Initially I started researching about Atlas search and how to use them using the Atlas Search Docs.

djongo

I can't wait to connect Djongo to my MangoDB

FastAPI & Uvicorn

This tells Heroku to run uvicorn, which is a web server implementation in Python.

FastAPI uses Uvicorn, an ASGI (Asynchronous Server Gateway Interface) web server implementation for Python.

Now, let’s run our FastAPI application using Uvicorn: uvicorn main:app --reload

Uvicorn + Starlette 8k requests/s

I switched to Hypercorn because Uvicorn currently supports HTTP/1.1 and WebSockets as mentioned at https://www.uvicorn.org

This will set up Chroma and run it as a server with uvicorn, making port 8000 accessible outside the net docker network. The command also mounts a persistent docker volume for Chroma's database, found at chroma/chroma from your project's root.

There's an open discussion under the Uvicorn repository and we prepared a repository for Reproduction GitHub Repo

FastAPI is a popular Python Web framework that developers use to create RESTful APIs. It is based on Pydantic and Python-type hints that assist in the serialization, deserialization, and validation of data. In this tutorial, we will use FastAPI to create a simple "Hello World" application. We test and run the application locally. FastAPI requires a ASGI server to run the application production such as Uvicorn.

- [3] https://github.com/encode/uvicorn/issues/527