SQLAlchemy integration with the marshmallow (de)serialization library
Project description
Homepage: https://marshmallow-sqlalchemy.readthedocs.io/
SQLAlchemy integration with the marshmallow (de)serialization library.
Declare your models
import sqlalchemy as sa
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import scoped_session, sessionmaker, relationship, backref
engine = sa.create_engine("sqlite:///:memory:")
session = scoped_session(sessionmaker(bind=engine))
Base = declarative_base()
class Author(Base):
__tablename__ = "authors"
id = sa.Column(sa.Integer, primary_key=True)
name = sa.Column(sa.String, nullable=False)
def __repr__(self):
return "<Author(name={self.name!r})>".format(self=self)
class Book(Base):
__tablename__ = "books"
id = sa.Column(sa.Integer, primary_key=True)
title = sa.Column(sa.String)
author_id = sa.Column(sa.Integer, sa.ForeignKey("authors.id"))
author = relationship("Author", backref=backref("books"))
Base.metadata.create_all(engine)Generate marshmallow schemas
from marshmallow_sqlalchemy import SQLAlchemySchema, auto_field
class AuthorSchema(SQLAlchemySchema):
class Meta:
model = Author
load_instance = True # Optional: deserialize to model instances
id = auto_field()
name = auto_field()
books = auto_field()
class BookSchema(SQLAlchemySchema):
class Meta:
model = Book
load_instance = True
id = auto_field()
title = auto_field()
author_id = auto_field()You can automatically generate fields for a model’s columns using SQLAlchemyAutoSchema <marshmallow_sqlalchemy.SQLAlchemyAutoSchema>. The following schema classes are equivalent to the above.
from marshmallow_sqlalchemy import SQLAlchemyAutoSchema, auto_field
class AuthorSchema(SQLAlchemyAutoSchema):
class Meta:
model = Author
include_relationships = True
load_instance = True
class BookSchema(SQLAlchemyAutoSchema):
class Meta:
model = Book
include_fk = True
load_instance = TrueMake sure to declare Models before instantiating Schemas. Otherwise sqlalchemy.orm.configure_mappers() will run too soon and fail.
(De)serialize your data
author = Author(name="Chuck Paluhniuk")
author_schema = AuthorSchema()
book = Book(title="Fight Club", author=author)
session.add(author)
session.add(book)
session.commit()
dump_data = author_schema.dump(author)
print(dump_data)
# {'id': 1, 'name': 'Chuck Paluhniuk', 'books': [1]}
load_data = author_schema.load(dump_data, session=session)
print(load_data)
# <Author(name='Chuck Paluhniuk')>Get it now
pip install -U marshmallow-sqlalchemy
Requires Python >= 3.6, marshmallow >= 2.15.2, and SQLAlchemy >= 1.2.0.
Documentation
Documentation is available at https://marshmallow-sqlalchemy.readthedocs.io/ .
Project Links
Changelog: https://marshmallow-sqlalchemy.readthedocs.io/en/latest/changelog.html
Contributing Guidelines: https://marshmallow-sqlalchemy.readthedocs.io/en/latest/contributing.html
PyPI: https://pypi-hypernode.com/pypi/marshmallow-sqlalchemy
Issues: https://github.com/marshmallow-code/marshmallow-sqlalchemy/issues
License
MIT licensed. See the bundled LICENSE file for more details.
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