
Research
Malicious npm Packages Impersonate Flashbots SDKs, Targeting Ethereum Wallet Credentials
Four npm packages disguised as cryptographic tools steal developer credentials and send them to attacker-controlled Telegram infrastructure.
sqlalchemy-to-pydantic
Advanced tools
Tools to generate Pydantic models from SQLAlchemy models.
Source Code forked from tiangolo/pydantic-sqlalchemy
Only support pydantic V2
Quick example:
from typing import List
from sqlalchemy import Column, ForeignKey, Integer, String, create_engine
from sqlalchemy.orm import Session, declarative_base, relationship, sessionmaker
from sqlalchemy_to_pydantic import sqlalchemy_to_pydantic
Base = declarative_base()
engine = create_engine("sqlite://")
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.model_validate(user)
data = pydantic_user.model_dump()
assert data == {
"fullname": "Ed Jones",
"id": 1,
"name": "ed",
"nickname": "edsnickname",
}
pydantic_user_with_addresses = PydanticUserWithAddresses.model_validate(user)
data = pydantic_user_with_addresses.model_dump()
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},
],
}
FAQs
Tools to convert SQLAlchemy models to Pydantic models
We found that sqlalchemy-to-pydantic demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Research
Four npm packages disguised as cryptographic tools steal developer credentials and send them to attacker-controlled Telegram infrastructure.
Security News
Ruby maintainers from Bundler and rbenv teams are building rv to bring Python uv's speed and unified tooling approach to Ruby development.
Security News
Following last week’s supply chain attack, Nx published findings on the GitHub Actions exploit and moved npm publishing to Trusted Publishers.