Question: What about using Annotated for types?

[hasansezertasan]

Is your feature request related to a problem? Please describe.
In SQLAlchemy, we constantly use String(64), String(128), etc. What about providing these types in a more pythonic way, a standardized way?

Describe the solution you'd like

I already have some type annotations that I use with SQLAlchemy:

from typing import Annotated

from sqlalchemy import DECIMAL, String, Unicode
from sqlalchemy.orm import mapped_column
from sqlalchemy_utils import EmailType, IPAddressType, PhoneNumberType, URLType

PostalCode = Annotated[
    str,
    mapped_column(
        type_=String(5),
        info={
            "label": "Postal Code",
            "description": "The postal code of the address.",
            "example": "12345",
        },
    ),
]
"""Postal Code Type."""
Latitude = Annotated[float, mapped_column(type_=DECIMAL(precision=10, scale=8))]
"""Latitude Type."""
Longitude = Annotated[float, mapped_column(type_=DECIMAL(precision=11, scale=8))]
"""Longitude Type."""
Money = Annotated[float, mapped_column(type_=DECIMAL(precision=18, scale=9))]
"""Money Type."""
PhoneNumber = Annotated[str, mapped_column(type_=Unicode(64))]
"""Phone Number Type."""
EmailAddress = Annotated[str, mapped_column(type_=EmailType)]
"""Email Address Type."""
String64 = Annotated[str, mapped_column(type_=String(64))]
"""String 64 Type."""
String128 = Annotated[str, mapped_column(type_=String(128))]
"""String 128 Type."""
String256 = Annotated[str, mapped_column(type_=String(256))]
"""String 256 Type."""
String512 = Annotated[str, mapped_column(type_=String(512))]
"""String 512 Type."""
String1024 = Annotated[str, mapped_column(type_=String(1024))]
"""String 1024 Type."""
String2048 = Annotated[str, mapped_column(type_=String(2048))]
"""String 2048 Type."""
UUIDString = Annotated[str, mapped_column(type_=String(36))]
"""UUID String Type."""
IPAddress = Annotated[str, mapped_column(type_=IPAddressType(64))]
"""IP Address Type."""
URL = Annotated[str, mapped_column(type_=URLType)]
"""URL Type."""

Describe alternatives you've considered
kvesteri/sqlalchemy-utils: Various utility functions and datatypes for SQLAlchemy.

Additional context
Maybe some standard enumerations?

[hasansezertasan]

Pydantic also has support for Annotated, see:

• Fields - Pydantic
• python - What is the difference between pydantic Field and Annotated? - Stack Overflow

I'm still learning 🤣.