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        "description": "======================================================================\nSerialchemy\n======================================================================\n\n.. TODO: Publish to PyPi\n    .. image:: https://img.shields.io/pypi/v/serialchemy.svg\n    :target: https://pypi.python.org/pypi/serialchemy\n    .. image:: https://img.shields.io/pypi/pyversions/serialchemy.svg\n    :target: https://pypi.org/project/serialchemy\n\n.. image:: https://img.shields.io/travis/ESSS/serialchemy.svg\n    :target: https://travis-ci.org/ESSS/serialchemy\n\n.. image:: https://ci.appveyor.com/api/projects/status/github/ESSS/serialchemy?branch=master\n    :target: https://ci.appveyor.com/project/ESSS/serialchemy/?branch=master&svg=true\n\n.. image:: https://codecov.io/gh/ESSS/serialchemy/branch/master/graph/badge.svg\n    :target: https://codecov.io/gh/ESSS/serialchemy\n\n.. image:: https://img.shields.io/readthedocs/pip.svg\n    :target: https://serialchemy.readthedocs.io/en/latest/\n\nSQLAlchemy model serialization.\n\nMotivation\n----------\n\n**Serialchemy** was developed as a module of Flask-RESTAlchemy_, a lib to create Restful APIs\nusing Flask and SQLAlchemy. We first tried marshmallow-sqlalchemy_, probably the most\nwell-known lib for SQLAlchemy model serialization, but we faced `issues related to nested\nmodels <https://github.com/marshmallow-code/marshmallow-sqlalchemy/issues/67>`_. We also think\nthat is possible to build a simpler and more maintainable solution by having SQLAlchemy_ in\nmind from the ground up, as opposed to marshmallow-sqlalchemy_ that had to be\ndesigned and built on top of marshmallow_.\n\n.. _SQLAlchemy: www.sqlalchemy.org\n.. _marshmallow-sqlalchemy: http://marshmallow-sqlalchemy.readthedocs.io\n.. _marshmallow: https://marshmallow.readthedocs.io\n.. _Flask-RESTAlchemy: https://github.com/ESSS/flask-restalchemy\n\nHow to Use it\n-------------\n\nSerializing Generic Types\n.........................\n\nSuppose we have an `Employee` SQLAlchemy_ model declared: ::\n\n    class Employee(Base):\n        __tablename__ = 'Employee'\n\n        id = Column(Integer, primary_key=True)\n        fullname = Column(String)\n        admission = Column(DateTime, default=datetime(2000, 1, 1))\n        company_id = Column(ForeignKey('Company.id'))\n        company = relationship(Company)\n        company_name = column_property(\n            select([Company.name]).where(Company.id == company_id)\n        )\n        password = Column(String)\n\n`Generic Types`_ are automatically serialized by `ModelSerializer`: ::\n\n    from serialchemy import ModelSerializer\n\n    emp = Employee(fullname='Roberto Silva', admission=datetime(2019, 4, 2))\n\n    serializer = ModelSerializer(Employee)\n    serializer.dump(emp)\n\n    >> {'id': None,\n        'fullname': 'Roberto Silva',\n        'admission': '2019-04-02T00:00:00',\n        'company_id': None,\n        'company_name': None,\n        'password': None\n        }\n\nNew items can be deserialized by the same serializer: ::\n\n    new_employee = {'fullname': 'Jobson Gomes', 'admission': '2018-02-03'}\n    serializer.load(new_employee)\n    >> <Employee object at 0x000001C119DE3940>\n\nSerializers do not commit into the database. You must do this by yourself: ::\n\n    emp = serializer.load(new_employee)\n    session.add(emp)\n    session.commit()\n\n.. _`Generic Types`: https://docs.sqlalchemy.org/en/rel_1_2/core/type_basics.html#generic-types\n\nCustom Serializers\n..................\n\nFor anything beyond `Generic Types`_ we must extend the `ModelSerializer` class: ::\n\n    class EmployeeSerializer(ModelSerializer):\n\n        password = Field(load_only=True)     # passwords should be only deserialized\n        company = NestedModelField(Company)  # dump company as nested object\n\n    serializer = EmployeeSerializer(Employee)\n    serializer.dump(emp)\n\n    >> {'id': 1,\n        'fullname': 'Roberto Silva',\n        'admission': '2019-04-02T00:00:00',\n        'company': {'id': 3,\n                    'name': 'Acme Co'\n                   }\n        }\n\n\nContributing\n------------\n\nFor guidance on setting up a development environment and how to make a\ncontribution to serialchemy, see the `contributing guidelines`_.\n\n.. _contributing guidelines: https://github.com/ESSS/serialchemy/blob/master/CONTRIBUTING.rst\n\n\nRelease\n-------\nA reminder for the maintainers on how to make a new release.\n\nNote that the VERSION should folow the semantic versioning as X.Y.Z\nEx.: v1.0.5\n\n1. Create a ``release-VERSION`` branch from ``upstream/master``.\n2. Update ``CHANGELOG.rst``.\n3. Push a branch with the changes.\n4. Once all builds pass, push a ``VERSION`` tag to ``upstream``.\n5. Merge the PR.\n\n\n=======\nHistory\n=======\n\n0.3.0 (2019-17-07)\n------------------\n* Add the composite fields to list of properties of model, to serialize that fields if it type is in EXTRA_SERIALIZERS.\n* Fix error for SQLAlchemy composite attributes\n* Added free functions dump and load so users can quickly dump a SQLAlchemy model without having to instancialize\n  ModelSerializer.\n\n0.2.0 (2019-03-22)\n------------------\n\n* Fix: Error when deserializing of nested models when SQLAlchemy model primary\n  key attribute name differs from the column name\n* Allow EXTRA_SERIALIZERS to be defined in runtime\n* Check if a session was given when serializing/deserializing nested fields\n\n0.1.0 (2019-02-12)\n------------------\n\n* First release on PyPI.\n\n\n",
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