How can I use Pydantic with FastAPI?
You can use Pydantic to define data models in FastAPI, which helps with data validation and serialization.
Can you show me a simple example?
Sure! First, install Pydantic. Then, create a model like this:
from pydantic import BaseModel
class Item(BaseModel):
name: str
price: float
is_offer: bool = None
How do I integrate this model into a FastAPI endpoint?
You can use the model as a parameter in your endpoint like this:
from fastapi import FastAPI
app = FastAPI()
@app.post("/items/")
async def create_item(item: Item):
return item
What if I want to add validation rules?
You can add validation rules directly in your Pydantic model. For example:
class Item(BaseModel):
name: str
price: float = Field(..., gt=0) # price must be greater than 0
Get this answer and more from ChatGPT in Telegram, try it for free!
Get Started For FreePowered by advanced language models trained on billions of online words and conversations, MagicBuddy delivers friendly and helpful chat on demand.
Ask questions and get answers. Crack jokes and get laughs. Or even get writing ideas and study help. MagicBuddy's conversational intelligence allows for a truly unique and useful chat experience.
Curious? Try these prompts:
MagicBuddy is incredibly easy to use and the responses are lightning fast! 🥇
Impressive! MagicBuddy is my go-to AI assistant. It’s quick, accurate, and user-friendly.
Sending voice messages makes it easier to use in the middle of the day and the answers are super fast.
Love it! A friend of mine told me about it and it has made my life so much easier. It’s like having a helpful friend in my pocket!
I use 2 months already, simply amazing! MagicBuddy delivers answers in a snap. It’s a must-have tool for staying informed!
Game-changer! MagicBuddy’s speed and accuracy are unmatched. It’s my secret weapon for productivity
Say Hello to Your New Telegram BFF - Try MagicBuddy Free!
Get Started For Free