A simple FastAPI template for a web-based grocery list app.

Based on the VS Code FastAPI tutorial, this repository provides a basic template for a simple FastAPI application. We will create a grocery list app using FastAPI.

We will install FastAPI for creating the app, uvicorn to work as the server, and Redis and type-redis for handling data storage and interacting with a Redis database. The goal is to get familiar with these tools and also to understand how to work with FastAPI in the Visual Studio Code terminal, editor, and debugger.

We can define our grocery list items by using Pydantic, a data validation and parsing library that integrates seamlessly with FastAPI. Pydantic lets you define data models using Python classes with type hints for automatic validation and parsing of incoming data (called "payloads") in API requests.

Let's create a model for our grocery list items. We will use the ItemPayload model to define the data structure of the items to add to the grocery list. This model will have three fields: item_id, item_name, and quantity.