Specifying SQL Server column data type, similar to dtype in pd.to_sql()

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Example Code

from typing import Optional

from sqlmodel import Field, SQLModel
from sqlalchemy.typing import NVARCHAR

class Hero(SQLModel, table=True):
    id: str = Field(default=None, primary_key=True, dtype=NVARCHAR(32))
    name: str
    secret_name: str
    age: Optional[int] = None

Description

Create a SQLModel that contains a mapping between python type (e.g str) and SQL Server column type (e.g NVARCHAR(32)). This is possible to do when using pandas to_sql() by specifying the dtype-argument.

Operating System

Linux, Windows

Operating System Details

No response

SQLModel Version

0.0.6

Python Version

Python 3.9.7

Additional Context