Junior — Middle

How could you implement a REST API using FastAPI, considering the project requirements?

sobes.tech AI

Answer from AI

To implement a REST API using FastAPI, you need to follow several steps:

Install FastAPI and an ASGI server, such as Uvicorn:

pip install fastapi uvicorn

Create a FastAPI application and define routes (endpoints) for handling HTTP requests (GET, POST, PUT, DELETE, etc.).
Use Pydantic models for data validation and serialization.
If necessary, connect to a database (e.g., via SQLAlchemy) and implement CRUD logic.
Run the server using Uvicorn.

Example of a simple API with one GET and POST endpoint:

from fastapi import FastAPI
from pydantic import BaseModel

app = FastAPI()

class Item(BaseModel):
    id: int
    name: str

items = {}

@app.get("/items/{item_id}")
async def read_item(item_id: int):
    return items.get(item_id, {"error": "Item not found"})

@app.post("/items/")
async def create_item(item: Item):
    items[item.id] = item
    return item

Running:

uvicorn main:app --reload

This approach allows for quickly creating scalable and convenient REST APIs with automatic documentation (Swagger UI).

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