Random User Data Generation with Pydantic

This function uses the Pydantic library to define a user model and uses a generator function to randomly generate user data, then creates a user instance using the model.

Technology Stack : Pydantic

Code Type : Function

Code Difficulty : Intermediate

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

class User(BaseModel):
    name: str
    age: int
    email: Optional[str] = None

    @validator('age')
    def check_age(cls, v):
        if v < 0:
            raise ValueError('Age cannot be negative')
        return v

def generate_user_data():
    users = [
        {"name": "Alice", "age": 30, "email": "alice@example.com"},
        {"name": "Bob", "age": 25},
        {"name": "Charlie", "age": 22, "email": "charlie@example.com"}
    ]
    return random.choice(users)

def xxx():
    user_data = generate_user_data()
    user = User(**user_data)
    return user