Random User Generation with Pydantic and Random Library

This function uses the Pydantic library to create a user model and generate a random user instance. The user model includes id, name, age, and hobbies fields, where age and hobbies are optional. The function uses the random library to generate random data.

Technology Stack : Pydantic, random

Code Type : Function

Code Difficulty : Intermediate

                
                    
from pydantic import BaseModel, Field
from typing import Optional, List
import random

class User(BaseModel):
    id: int
    name: str
    age: Optional[int] = Field(None, ge=0)
    hobbies: Optional[List[str]] = Field(None, min_items=1)

def generate_random_user():
    hobbies = ['reading', 'running', 'swimming', 'cycling', 'hiking', 'dancing', 'painting', 'cooking', 'gaming', 'traveling']
    name = random.choice(['Alice', 'Bob', 'Charlie', 'David', 'Eva', 'Frank', 'Grace', 'Hannah', 'Ivy', 'Jack'])
    age = random.randint(18, 70)
    random_hobbies = random.sample(hobbies, random.randint(1, len(hobbies)))
    return User(id=random.randint(1, 1000), name=name, age=age, hobbies=random_hobbies)

# JSON representation of the code information