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        "author": "Moriyoshi Koizumi",
        "author_email": "mozo@mozo.jp",
        "bugtrack_url": null,
        "classifiers": [
            "Environment :: Other Environment",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Topic :: Software Development :: Quality Assurance",
            "Topic :: Software Development :: Testing",
            "Topic :: Utilities"
        ],
        "description": "Tableau\n=======\n\nTableau is a collection of helper classes for building test fixtures and seed data.\n\n- Model composition without any predefined schemas.  The model object relationships are automatically deduced through the value annotations::\n\n    from tableau import Datum\n\n    foo = Datum(\n      'Foo', ('id'), # schema name / identifiers\n      id=1,\n      field_a=1,\n      field_b=2,\n      collection=one_to_many([\n        Datum(\n          'Bar', auto('id'), # id will be automagically generated by the walker\n          field_c=1\n          ),\n        Datum(\n          'Bar', auto('id'),\n          field_c=1\n          ),\n        ],\n        referring_fields='foo_id'\n        )\n      )\n\n- Export the model object graph to plain ANSI SQL statements, in the ORM-agnostic manner::\n\n    import sys\n    from tableau import Datum, DataSuite, DataWalker\n    from tableau.sql import SQLGenerator\n\n    # ...\n\n    suite = DataSuite()\n    DataWalker(suite)(foo)\n    SQLGenerator(sys.stdout, encoding='utf-8')(suite)\n\n  The above yields the following SQL statements::\n\n    INSERT INTO `Foo` (`id`, `field_a`, `field_b`) VALUES\n    (1, 1, 2);\n    INSERT INTO `Bar` (`id`, `field_c`, `foo_id`) VALUES\n    (1, 1, 1),\n    (2, 1, 1);\n\n- Automatically mapping the existing SQLAlchemy tables / declarative classes\n  to the `Data`::\n\n    from tableau.sqla import newSADatum\n\n    # metadata = ...\n    # Base = ...\n    # session = ...\n\n    class Foo(Base):\n      __tablename__ = 'foos'\n      id = Column(Integer, primary_key=True)\n      field = Column(String)\n\n      def some_model_specific_method(self):\n        return self.field\n\n    Datum = newSADatum(metadata, Base)\n    datum = Datum(\n      'foos', ('id'),\n      field='test'\n      )\n    print datum.some_model_specific_method() # 'test'\n    session.add(datum) # it can even be added to the session!\n\n\nChange history\n--------------\n\n0.0.0\n    Unreleased.\n\n0.0.1\n    First release. No docs!\n\n0.0.2\n    Support mapping to SQLAlchemy tables and declarative classses.\n    Still no docs!\n\n0.0.3\n    Fix critical bugs in 0.0.2.",
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        "keywords": "test testing fixture seed",
        "license": "MIT License",
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        "maintainer_email": null,
        "name": "tableau",
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