{
    "info": {
        "author": "Calin Vlad",
        "author_email": "vlad.s.calin@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Topic :: Database"
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        "description": "fillmydb\n========\n\nFill your database with mocked instances.\n\nWrap you ORM model into a `ModelWrapper`, specify how your fields should look\nlike and then generate how many instances you want of each model.\n\n\nInstallation\n------------\n\n- `pip install fillmydb[peewee]` if you plan to use it with peewee models\n- `pip install fillmydb[django]` if you plan to use it with djanog models **(not implemented yet)**\n- `pip install fillmydb[sqlalchemy]` if you plan to use it with sqlalchemy models **(not implemented yet)**\n\n\nUsage with `fake-factory <https://github.com/joke2k/faker>`_\n------------------------------------------------------------\n\n\nGenerating instances for a single model::\n\n    import faker\n\n    factory = faker.Factory.create()\n\n    wrapper = ModelWrapper(TestModel)\n\n    wrapper[TestModel].client_name = FieldSpec(factory.name)\n    wrapper[TestModel].description = FieldSpec(factory.text)\n    wrapper[TestModel].password_hash = FieldSpec(factory.binary, length=25)\n    wrapper[TestModel].email = FieldSpec(factory.email)\n    wrapper[TestModel].visits = FieldSpec(factory.pyint)\n\n    item = wrapper.generate(100)\n\n\nGenerating instances for multipe models::\n\n    from tests.models import User, Post, Like\n    import faker\n\n    factory = faker.Factory.create()\n\n    wrapper = ModelWrapper(User, Like, Post)\n\n    wrapper[User].name = FieldSpec(factory.name)\n    wrapper[User].username = FieldSpec(factory.user_name)\n    wrapper[User].description = FieldSpec(factory.text)\n    wrapper[User].password_hash = FieldSpec(factory.binary, length=25)\n    wrapper[User].email = FieldSpec(factory.email)\n    wrapper[User].visits = FieldSpec(factory.pyint)\n\n    wrapper[Post].title = FieldSpec(lambda _: \"test\", 1)\n    wrapper[Post].text = FieldSpec(factory.text)\n\n    # generating 10 users, 100 likes and 20 posts \n    wrapper.generate(10, 100, 20)\n\nGeneral workflow\n----------------\n\nPseudo-code::\n\n    initial_to_order_queue()\n    while models_to_process():\n        model = get_next_model()\n\n        if model.has_unresolved_dependency():\n            push_back_to_queue(model)\n\n        # process model\n        for _ in range(number_of_instances):\n            for field in model.fields():\n                # resolve_field(field)\n                if field == ForeignKey:\n                    field = get_random_ref_model_instance()\n                else:\n                    field = resolve_normal()\n        mark_as_processed(model)",
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        "license": "MIT",
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        "name": "fillmydb",
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        "summary": "Fill your database with mocked instances.",
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