You can try out this code.

code snipppet

from pydantic import ValidationError

def validate_user_data(user_data: dict):
    try:
        # Create an instance of the Pydantic model
        user = UserModel(**user_data)
        
        # Convert the model to a dictionary, excluding unset (optional) fields
        validated_data = user.dict(exclude_unset=True)
        
        return validated_data
    except ValidationError as e:
        # Handle validation errors
        print("Validation error:", e.errors())
        
        # Extract and print missing or invalid fields
        missing_or_invalid_fields = [error['loc'][0] for error in e.errors()]
        
        if missing_or_invalid_fields:
            print("Missing or invalid fields:", missing_or_invalid_fields)
        
        return None

test out

user_data = {
    "name":"",
    "age": 30,
    "email": "[email protected]",
    "address": None  # Optional field, can be None
}

validated_data = validate_user_data(user_data)

if validated_data:
    print("Validated data:", validated_data)
else:
    print("Invalid data provided.")

Feel free to comment your thoughts. Thank you!