README.md

Pydantic-SQLAlchemy

Tools to generate Pydantic models from SQLAlchemy models.

Still experimental.

How to use

Quick example:

from typing import List

from pydantic_sqlalchemy 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)
PydanticAddress = sqlalchemy_to_pydantic(Address)


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="ed@example.com")
address2 = Address(email_address="eddy@example.com")
ed_user.addresses = [address, address2]
db.add(ed_user)
db.commit()


def test_pydantic_sqlalchemy():
    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": "ed@example.com", "id": 1, "user_id": 1},
            {"email_address": "eddy@example.com", "id": 2, "user_id": 1},
        ],
    }

Release Notes

Latest Changes

0.0.9

• ✨ Add poetry-version-plugin, remove importlib-metadata dependency. PR #32 by @tiangolo.

0.0.8.post1

• 💚 Fix setting up Poetry for GitHub Action Publish. PR #23 by @tiangolo.

0.0.8

• ⬆️ Upgrade importlib-metadata to 3.0.0. PR #22 by @tiangolo.
• 👷 Add GitHub Action latest-changes. PR #20 by @tiangolo.
• 💚 Fix GitHub Actions Poetry setup. PR #21 by @tiangolo.

0.0.7

• Update requirements of importlib-metadata to support the latest version 2.0.0. PR #11.

0.0.6

• Add support for SQLAlchemy extended types like sqlalchemy-utc: UtcDateTime. PR #9.

0.0.5

• Exclude columns before checking their Python types. PR #5 by @ZachMyers3.

0.0.4

• Do not include SQLAlchemy defaults in Pydantic models. PR #4.

0.0.3

• Add support for exclude to exclude columns from Pydantic model. PR #3.
• Add support for overriding the Pydantic config. PR #1 by @pyropy.
• Add CI with GitHub Actions. PR #2.

License

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