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SQLAlchemy integration with the marshmallow (de)serialization library

Project description

Latest version Travis-CI Documentation

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)

    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 ModelSchema

class AuthorSchema(ModelSchema):
    class Meta:
        model = Author

class BookSchema(ModelSchema):
    class Meta:
        model = Book
        # optionally attach a Session
        # to use for deserialization
        sqla_session = session

author_schema = AuthorSchema()

(De)serialize your data

author = Author(name='Chuck Paluhniuk')
book = Book(title='Fight Club', author=author)
session.add(author)
session.add(book)
session.commit()

author_schema.dump(author).data
# {'books': [123], 'id': 321, 'name': 'Chuck Paluhniuk'}

author_schema.load(dump_data, session=session).data
# <Author(name='Chuck Paluhniuk')>

Get it now

pip install -U marshmallow-sqlalchemy

Documentation

Documentation is available at https://marshmallow-sqlalchemy.readthedocs.io/ .

License

MIT licensed. See the bundled LICENSE file for more details.

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