FastAPI (contd)

• Fastapi allows asynchronous calls

Async/await

• Asynchronous programming allows to run multiple tasks concurrently without blocking the program. This is useful when dealing with IO-bound operations like
  • Waiting for network requests
  • reading/writing files
  • Interacting with databases
• Refer Here for basic async await example

FastAPI Basics

Defining first API endpoint

• Create a new folder called as books
• Activate a new virtual environment and install fastapi
• Create requirements.txt pip freeze > requirements.txt
• Create a new file called as main.py containing the following code

from fastapi import FastAPI

# create app 
app = FastAPI()

# define endpoint

@app.get("/books")
async def get_all_books():
    return [{
        "book_id": 1,
        "title": "Your Brain at Work",
        "author": "David Rock"
    }]

• refer to classroom video for vscode debugger setup.
• Refer Here for the changes done

Defining and using request and response models

• FastAPI simplifies the process of defining and validating the request and responses using Pydantic
• Lets create a file called as models.py
• Refer Here for the changes done