Pydantic Validation Models with Additional Validations

from pydantic import BaseModel, EmailStr, constr, validator

class UserSignup(BaseModel):
    username: constr(min_length=3, max_length=20, regex=r'^[a-zA-Z0-9_]+$')
    email: EmailStr
    password: constr(min_length=8, regex=r'^(?=.*[A-Za-z])(?=.*\d)[A-Za-z\d@$!%*?&]+$')
    confirm_password: str
    phone_number: constr(regex=r'^\\+?[1-9]\\d{1,14}$')  # International format
    age: int

    @validator('confirm_password')
    def passwords_match(cls, v, values):
        if v != values.get('password'):
            raise ValueError('Passwords must match')
        return v

    @validator('age')
    def age_must_be_valid(cls, v):
        if v < 18:
            raise ValueError('Age must be at least 18')
        return v

New Validations:

Conclusion

This enhanced project ensures better data integrity with detailed field validations using Pydantic. Users can easily understand the validation rules and avoid common input errors.