Example data in schema in FastAPI - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to define example data in a Pydantic schema.

FastAPI

from pydantic import BaseModel

class User(BaseModel):
    name: str
    age: int

    class Config:
        schema_extra = {"example": [1] }

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

A{"name": "Alice", "age": 30}

B{"name": "Bob", "age": 25}

C{"name": "Charlie", "age": 40}

D{"name": "Diana", "age": 22}

Attempts:

3 left

💡 Hint

Common Mistakes

Using a list instead of a dictionary for example data.

Not matching keys to model fields.

Using incorrect syntax for the example dictionary.

The example data is set inside schema_extra as a dictionary with keys matching the model fields.

2fill in blank

medium

Complete the code to add example data for a Product schema.

FastAPI

from pydantic import BaseModel

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

    class Config:
        schema_extra = {"example": [1] }

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

A{"id": 1, "name": "Laptop", "price": "cheap"}

B{"id": "one", "name": "Laptop", "price": 999.99}

C{"id": 1, "name": 123, "price": 999.99}

D{"id": 1, "name": "Laptop", "price": 999.99}

Attempts:

3 left

💡 Hint

Common Mistakes

Using string instead of int for id.

Using number instead of string for name.

Using string instead of float for price.

Example data must match the field types: id as int, name as str, price as float.

3fill in blank

hard

Fix the error in the example data for the Address schema.

FastAPI

from pydantic import BaseModel

class Address(BaseModel):
    street: str
    city: str
    zipcode: str

    class Config:
        schema_extra = {"example": [1] }

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

A{"street": "123 Main St", "city": "Springfield", "zipcode": "12345"}

B{"street": "123 Main St", "city": "Springfield", "zipcode": 12345}

C{"street": 123, "city": "Springfield", "zipcode": "12345"}

D{"street": "123 Main St", "city": 456, "zipcode": "12345"}

Attempts:

3 left

💡 Hint

Common Mistakes

Using an integer for zipcode instead of a string.

Using numbers for street or city fields.

zipcode should be a string, so the value must be quoted.

4fill in blank

hard

Fill both blanks to add example data for a BlogPost schema with title and tags.

FastAPI

from pydantic import BaseModel
from typing import List

class BlogPost(BaseModel):
    title: str
    tags: List[str]

    class Config:
        schema_extra = {"example": {"title": [1], "tags": [2]

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

A"My First Post"

B["python", "fastapi"]

C"Another Post"

D["java", "spring"]

Attempts:

3 left

💡 Hint

Common Mistakes

Using list for title or string for tags.

Not quoting the string values.

The title is a string and tags is a list of strings, so the example must match these types.

5fill in blank

hard

Fill all three blanks to add example data for a UserProfile schema with username, email, and active status.

FastAPI

from pydantic import BaseModel

class UserProfile(BaseModel):
    username: str
    email: str
    active: bool

    class Config:
        schema_extra = {"example": {"username": [1], "email": [2], "active": [3]

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

A"user123"

B"[e-mail]"

Ctrue

Dfalse

Attempts:

3 left

💡 Hint

Common Mistakes

Not quoting string values.

Quoting boolean values as strings.

Using invalid boolean literals.

Username and email are strings and must be quoted; active is a boolean and should be true or false without quotes.