Pydantic User Data Validation Function

This function uses Pydantic's BaseModel to validate user data. It accepts a dictionary containing the user's name and age, and then attempts to convert it to a User model. If the data is valid, it returns the validated user object; if the data is invalid, it returns error information.

Technology Stack : Pydantic

Code Type : Pydantic Validation Function

Code Difficulty : Intermediate

                
                    
from pydantic import BaseModel, ValidationError

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

def validate_user(user_data):
    try:
        user = User(**user_data)
        return {"status": "valid", "user": user}
    except ValidationError as e:
        return {"status": "invalid", "errors": e.errors()}

# JSON Explanation