Response model declaration in FastAPI - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to declare a response model in FastAPI.

FastAPI

from fastapi import FastAPI
from pydantic import BaseModel

app = FastAPI()

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

@app.get("/items/{item_id}", response_model=[1])
def read_item(item_id: int):
    return {"name": "Foo", "price": 42.0}

Drag options to blanks, or click blank then click option'

Aint

BItem

Cstr

Dfloat

Attempts:

3 left

💡 Hint

Common Mistakes

Using basic types like int or str instead of a Pydantic model.

Forgetting to import or define the model.

The response_model parameter expects a Pydantic model class that defines the response schema. Here, 'Item' is the correct model.

2fill in blank

medium

Complete the code to specify a response model for a POST endpoint.

FastAPI

from fastapi import FastAPI
from pydantic import BaseModel

app = FastAPI()

class User(BaseModel):
    username: str
    email: str

@app.post("/users/", response_model=[1])
def create_user(user: User):
    return user

Drag options to blanks, or click blank then click option'

Adict

Bstr

Clist

DUser

Attempts:

3 left

💡 Hint

Common Mistakes

Using basic types like dict or list instead of the Pydantic model.

Not matching the response_model to the returned data.

The response_model should be the Pydantic model that describes the response data, which is 'User' here.

3fill in blank

hard

Fix the error in the response model declaration.

FastAPI

from fastapi import FastAPI
from pydantic import BaseModel

app = FastAPI()

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

@app.get("/products/{product_id}", response_model=[1])
def get_product(product_id: int):
    return {"id": product_id, "name": "Gadget"}

Drag options to blanks, or click blank then click option'

AProduct

Bdict

Cint

Dstr

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'dict' or primitive types as response_model.

Mismatch between response_model and returned data structure.

The response_model must be the Pydantic model 'Product' to match the returned dictionary structure.

4fill in blank

hard

Fill both blanks to declare a response model and import the needed class.

FastAPI

from fastapi import FastAPI
from pydantic import [1]

app = FastAPI()

class Order([2]):
    order_id: int
    item: str

Drag options to blanks, or click blank then click option'

ABaseModel

BFastAPI

CRequest

DResponse

Attempts:

3 left

💡 Hint

Common Mistakes

Importing or inheriting from FastAPI or other unrelated classes.

Forgetting to import BaseModel.

The Pydantic BaseModel must be imported and used as the base class for the model.

5fill in blank

hard

Fill all three blanks to declare a response model, import BaseModel, and use it as base class.

FastAPI

from fastapi import FastAPI
from pydantic import [1]

app = FastAPI()

class Customer([2]):
    id: int
    name: str

@app.get("/customers/{customer_id}", response_model=[3])
def get_customer(customer_id: int):
    return {"id": customer_id, "name": "Alice"}

Drag options to blanks, or click blank then click option'

ABaseModel

BFastAPI

CCustomer

DRequest

Attempts:

3 left

💡 Hint

Common Mistakes

Using FastAPI or Request instead of BaseModel.

Using wrong response_model name.

Import BaseModel, inherit Customer from BaseModel, and use Customer as response_model.