This project is a Python-based authentication implementation (JWT) that uses FastAPI, MongoDB, and features a simple Streamlit UI. It's containerized with Docker Compose for easy deployment.

This project employs the following technologies:

1. FastAPI Backend:

   • FastAPI is a modern, high-performance web framework for building APIs with Python.
   • The backend handles HTTP requests, data processing, and communicates with MongoDB.

2. MongoDB:

   • MongoDB is a NoSQL database that stores data in a flexible, JSON-like format.
   • It's used to persist and manage the application's data, supporting structured and unstructured data storage.

3. Streamlit App:

   • Streamlit is a Python library for building interactive web applications with minimal code.
   • The Streamlit app serves as the front-end, enabling users to interact with data and services.

To run this project, you need the following software:

1. Operating System: Windows, Linux, macOS
2. Docker and Docker Compose

1. Clone the Git repository:

   git clone https://github.com/ravirajsinh45/python-fastapi-mongodb-auth-project.git

2. Create a .env file with the following content:

   ENV="dev"
   DB_URL="mongodb://root:example@mongo:27017/"
   DB_USERNAME=root
   DB_PASSWORD=example
   DB_NAME=test
   BACKEND_URL="http://api:8080"
   ACCESS_TOKEN_EXPIRES_IN=15
   REFRESH_TOKEN_EXPIRES_IN=1440
   JWT_ALGORITHM=RS256
   CLIENT_ORIGIN=http://localhost:8501
   JWT_PRIVATE_KEY=<Your JWT Private Key Here>
   JWT_PUBLIC_KEY=<Your JWT Public Key Here>

   Replace <Your JWT Private Key Here> and <Your JWT Public Key Here> with your actual JWT keys.

3. Run the Docker Compose file:

   docker-compose up -d --build

   This command will build and run Docker images for the services defined in the docker-compose.yaml file.

   • Access the Streamlit UI at: http://localhost:8501 on your local machine.

   • If you want to view the database, you can install MongoDB Compass and use the following connection string:

     mongodb://root:example@<Your local IPv4 address>:27017/

That's it! You can now explore and customize this boilerplate code to add your own logic and features. Enjoy working with this project!