How can I use Pydantic with FastAPI?

How can I use Pydantic with FastAPI?

You can use Pydantic models to define data validation and serialization in FastAPI. Just create a Pydantic model and use it in your route.

Can you show me a simple example?

Sure! Here's a basic example:

from fastapi import FastAPI
from pydantic import BaseModel

app = FastAPI()

class Item(BaseModel):
    name: str
    price: float

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

What happens if the data doesn't match the model?

If the data doesn't match the model, FastAPI will automatically return a 422 Unprocessable Entity error with details about the validation errors.

Can I use Pydantic for nested models?

Yes, Pydantic supports nested models. You can define a model within another model to handle complex data structures.