sqlalchemy-dantic 0.2.0

Tools to convert SQLAlchemy models to Pydantic models.Thanks project 'pydantic-sqlalchemy'.

Pydantic-SQLAlchemy

Tools to generate Pydantic models from SQLAlchemy models.

Still experimental.

Install

pip3 install sqlalchemy-dantic

How to use

Quick example:

from typing import List

from sqlalchemy_dantic import sqlalchemy_to_pydantic
from sqlalchemy import Column, ForeignKey, Integer, String, create_engine
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import Session, relationship, sessionmaker

Base = declarative_base()

engine = create_engine("sqlite://", echo=True)


class User(Base):
    __tablename__ = "users"

    id = Column(Integer, primary_key=True)
    name = Column(String)
    fullname = Column(String)
    nickname = Column(String)

    addresses = relationship(
        "Address", back_populates="user", cascade="all, delete, delete-orphan"
    )


class Address(Base):
    __tablename__ = "addresses"
    id = Column(Integer, primary_key=True)
    email_address = Column(String, nullable=False)
    user_id = Column(Integer, ForeignKey("users.id"))

    user = relationship("User", back_populates="addresses")


PydanticUser = sqlalchemy_to_pydantic(User,name="PydanticUser")
PydanticAddress = sqlalchemy_to_pydantic(Address,name="PydanticAddress")


class PydanticUserWithAddresses(PydanticUser):
    addresses: List[PydanticAddress] = []


Base.metadata.create_all(engine)


LocalSession = sessionmaker(bind=engine)

db: Session = LocalSession()

ed_user = User(name="ed", fullname="Ed Jones", nickname="edsnickname")

address = Address(email_address="[e-mail]")
address2 = Address(email_address="[e-mail]")
ed_user.addresses = [address, address2]
db.add(ed_user)
db.commit()


def test_sqlalchemy_dantic():
    user = db.query(User).first()
    pydantic_user = PydanticUser.from_orm(user)
    data = pydantic_user.dict()
    assert data == {
        "fullname": "Ed Jones",
        "id": 1,
        "name": "ed",
        "nickname": "edsnickname",
    }
    pydantic_user_with_addresses = PydanticUserWithAddresses.from_orm(user)
    data = pydantic_user_with_addresses.dict()
    assert data == {
        "fullname": "Ed Jones",
        "id": 1,
        "name": "ed",
        "nickname": "edsnickname",
        "addresses": [
            {"email_address": "[e-mail]", "id": 1, "user_id": 1},
            {"email_address": "[e-mail]", "id": 2, "user_id": 1},
        ],
    }

Release Notes

add sub Schema .

License

This project is licensed under the terms of the MIT license.