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    "info": {
        "author": "Ruben Quinones",
        "author_email": "ruben.quinones.gomez@gmail.com",
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        "classifiers": [
            "Development Status :: 5 - Production/Stable",
            "Environment :: Console",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Operating System :: MacOS :: MacOS X",
            "Operating System :: POSIX :: Linux",
            "Programming Language :: Python",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Topic :: Database",
            "Topic :: Software Development :: Libraries"
        ],
        "description": "What is this?\n=============\n\nThis is a pytest plugin based on pytest-mongodb_ and mongomock_ that enables you\nto test your code that relies on a callback- or Future-based API for non-blocking access\nto a MongoDB and expects certain data to be present.\nIt allows you to specify fixtures for database collections in JSON/BSON or YAML\nformat. Under the hood we use the mongomock library, that you should\nconsult for documentation on how to use MongoDB mock objects. If suitable you\ncan also use a real MongoDB server.\n\n\nConfiguration\n-------------\n\nIf you don't want to put your database fixtures on the top-level directory of your package\nyou have to specify a directory where ``pytest-async-mongodb`` looks for your data definitions.\n\nTo do so put a line like the following under the ``pytest`` section of your\n``pytest.ini``-file put a\n\n.. code-block:: ini\n\n    [pytest]\n    async_mongodb_fixture_dir =\n      tests/unit/fixtures\n\n    async_mongodb_fixtures =\n      fixture_1\n      fixture_2\n\n``pytest-async-mongodb`` would then look for files ending in ``.yaml`` or ``.json`` in that\ndirectory.\n\nUnlike pytest-mongodb, you cannot specify a real MongoDB connection with the pymongo client.\n\n\nBasic usage\n-----------\n\nAfter you configured ``pytest-async-mongodb`` so that it can find your fixtures you're ready to\nspecify some data. Regardless of the markup language you choose, the data is provided\nas a list of documents (dicts). The collection that these documents are being inserted\ninto is given by the filename of your fixture-file. E.g.: If you had a file named\n``players.yaml`` with the following content:\n\n.. code-block:: yaml\n\n    -\n      name: Mario\n      surname: G\u00f6tze\n      position: striker\n\n    -\n      name: Manuel\n      surname: Neuer\n      position: keeper\n\n\nyou'd end up with a collection ``players`` that has the above player definitions\ninserted. If your fixture file is in JSON/BSON format you can also use BSON specific\ntypes like ``$oid``, ``$date``, etc.\n\n\nYou get ahold of the database in your test-function by using the ``async_mongodb`` fixture\nlike so:\n\n.. code-block:: python\n\n    @pytest.mark.asyncio\n    async def test_players(async_mongodb):\n        manuel = await async_mongodb.players.find_one({'name': 'Manuel'})\n        assert manuel['surname'] == 'Neuer'\n\n\nFor further information refer to the mongomock_ documentation.\n\n.. _mongomock: https://github.com/vmalloc/mongomock\n.. _pytest: https://docs.pytest.org/en/latest/\n.. _pytest-mongodb: https://github.com/mdomke/pytest-mongodb/\n\n\n\n",
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        "keywords": "",
        "license": "MIT",
        "maintainer": "",
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        "name": "pytest-async-mongodb",
        "package_url": "https://pypi.org/project/pytest-async-mongodb/",
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        "summary": "pytest plugin for async MongoDB",
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