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    "info": {
        "author": "Rasika Amaratissa",
        "author_email": "rasika.am@gmail.com",
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            "Development Status :: 3 - Alpha",
            "Framework :: Django :: 2.2",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Natural Language :: English",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7"
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        "description": "=============================\nDjango Elastic App Search\n=============================\n\n.. image:: https://badge.fury.io/py/django-elastic-appsearch.svg\n    :target: https://badge.fury.io/py/django-elastic-appsearch\n\n.. image:: https://travis-ci.org/CorrosiveKid/django_elastic_appsearch.svg?branch=master\n    :target: https://travis-ci.org/CorrosiveKid/django_elastic_appsearch\n\n.. image:: https://codecov.io/gh/CorrosiveKid/django_elastic_appsearch/branch/master/graph/badge.svg\n    :target: https://codecov.io/gh/CorrosiveKid/django_elastic_appsearch\n\n.. image:: https://readthedocs.org/projects/django-elastic-appsearch/badge/?version=latest\n    :target: https://django-elastic-appsearch.readthedocs.io/en/latest/?badge=latest\n\n.. image:: https://badgen.net/dependabot/CorrosiveKid/django_elastic_appsearch?icon=dependabot\n    :target: https://dependabot.com/\n\nIntegrate your Django Project with Elastic App Search with ease.\n\nDocumentation\n-------------\n\nThe full documentation is at https://django_elastic_appsearch.readthedocs.io. Read our step-by-step guide on integrating App Search with your existing Django project over at Medium_.\n\n.. _Medium: https://medium.com/@rasika.am/integrating-a-django-project-with-elastic-app-search-fb9f16726b5c\n\nDependencies\n------------\n\n* `elastic-app-search <https://pypi.org/project/elastic-app-search/>`_\n* `serpy <https://pypi.org/project/serpy/>`_\n\nUsage\n-----\nInstalling\n==========\n\nInstall Django Elastic App Search::\n\n    pip install django_elastic_appsearch\n\nAdd it to your `INSTALLED_APPS`:\n\n.. code-block:: python\n\n    INSTALLED_APPS = (\n        ...\n        'django_elastic_appsearch',\n        ...\n    )\n\nAdd the Elastic App Search URL and Key to your settings module:\n\n.. code-block:: python\n\n    APPSEARCH_HOST = 'localhost:3002'\n    APPSEARCH_API_KEY = 'some_appsearch_api_token'\n\nConfiguring app search indexable models\n=======================================\n\nConfigure the Django models you want to index to Elastic App Search. You can do this by inheriting from the ``AppSearchModel``, and then setting some meta options.\n\n``AppsearchMeta.appsearch_engine_name`` - Defines which engine in your app search instance your model will be indexed to.\n\n``AppsearchMeta.appsearch_serialiser_class`` - Defines how your model object will be serialised when sent to your elastic app search instance. The serialiser and fields used here derives from `Serpy <https://serpy.readthedocs.io/>`__, and you can use any of the serpy features like method fields.\n\nExample:\n\n.. code-block:: python\n\n    from django_elastic_appsearch.orm import AppSearchModel\n    from django_elastic_appsearch import serialisers\n\n    class CarSerialiser(serialisers.AppSearchSerialiser):\n        full_name = serialisers.MethodField()\n        make = serialisers.StrField()\n        model = serialisers.StrField()\n        manufactured_year = serialisers.Field()\n\n        def get_full_name(self, instance):\n            return '{} {}'.format(make, model)\n\n\n    class Car(AppSearchModel):\n\n        class AppsearchMeta:\n            appsearch_engine_name = 'cars'\n            appsearch_serialiser_class = CarSerialiser\n\n        make = models.CharField(max_length=100)\n        model = models.CharField(max_length=100)\n        manufactured_year = models.CharField(max_length=4)\n\nUsing model and queryset methods to index and delete documents\n==============================================================\n\nThen you can call ``index_to_appsearch`` and ``delete_from_appsearch`` from your model objects.\n\nSend the car with id 25 to app search.\n\n.. code-block:: python\n\n    from mymodels import Car\n\n    car = Car.objects.get(id=25)\n    car.index_to_appsearch()\n\nDelete the car with id 21 from app search.\n\n.. code-block:: python\n\n    from mymodels import Car\n\n    car = Car.objects.get(id=21)\n    car.delete_from_appsearch()\n\nYou can also call ``index_to_appsearch`` and ``delete_from_appsearch`` on QuerySets of ``AppSearchModel``\n\nSend all cars where the make is 'Toyota' to app search.\n\n.. code-block:: python\n\n    cars = Car.objects.filter(make='Toyota')\n    cars.index_to_appsearch()\n\nDelete all cars where the make is 'Saab' from app search\n\n.. code-block:: python\n\n    cars = Car.objects.filter(make='Saab')\n    cars.delete_from_appsearch()\n\nUse with your own custom queryset managers\n==========================================\n\nIf you want to specify custom managers which also has this functionality, you can inherit from ``django_elastic_appsearch.orm.AppSearchQuerySet``\n\n.. code-block:: python\n\n    from django_elastic_appsearch.orm import AppSearchModel, AppSearchQuerySet\n\n    class MyCustomQuerySetManager(AppSearchQuerySet):\n        def my_custom_queryset_feature(self):\n            # Do Something cool\n            pass\n\n    class MyCustomModel(AppSearchModel):\n        field_1 = models.CharField(max_length=100)\n\n        # Set the custom manager\n        objects = MyCustomQuerySetManager.as_manager()\n\nSettings\n========\n\nThis package provides various Django settings entries you can use to configure your connection to the Elastic App Search instance you're using.\n\nAPPSEARCH_HOST\n^^^^^^^^^^^^^^\n\n* Required: Yes\n* Default: No default value\n\nThis is a **required** setting to tell your Django application which Elastic App Search instance to connect with.\n\n.. code-block:: python\n\n    APPSEARCH_HOST = 'localhost:3002'\n\nAPPSEARCH_API_KEY\n^^^^^^^^^^^^^^^^^\n\n* Required: Yes\n* Default: No default value\n\nThis is a **required** setting to tell your Django application the private key to use to talk to your Elastic App Search instance.\n\n.. code-block:: python\n\n    APPSEARCH_API_KEY = 'private-key'\n\nAPPSEARCH_USE_HTTPS\n^^^^^^^^^^^^^^^^^^^\n\n* Required: No\n* Default: ``True``\n\nThis is an **optional** setting to configure whether to use HTTPS or not when your Django application communicates with your Elastic App Search instances. It defaults to ``True`` if it's not set. This might be useful when you're running your Django project against a local Elastic App Search instance. It's insecure to have this as ``False`` in a production environment, so make sure to change to ``True`` in your production version.\n\n.. code-block:: python\n\n    APPSEARCH_USE_HTTPS = False\n\nAPPSEARCH_CHUNK_SIZE\n^^^^^^^^^^^^^^^^^^^^\n\n* Required: No\n* Default: ``100``\n\nThis is an **optional** setting to configure the chunk size when doing queryset indexing/deleting. Elastic App Search supports upto a 100 documents in one index/destroy request. With this setting, you can change it to your liking. It defaults to the maximum of ``100`` when this is not set. This might be useful when you want to reduce the size of a request to your Elastic App Search instance when your documents have a lot of fields/data.\n\n.. code-block:: python\n\n    APPSEARCH_CHUNK_SIZE = 50\n\nAPPSEARCH_INDEXING_ENABLED\n^^^^^^^^^^^^^^^^^^^^^^^^^^\n\n* Required: No\n* Default: ``True``\n\nThis is an **optional** setting to configure if you want to disable indexing to your Elastic App Search instance. This is useful when you want to disable indexing without changing any code. When it's set to ``False``, any code where you use ``index_to_appsearch()`` or ``delete_from_appsearch()`` will not do anything. It's set to ``True`` by default when it's not set.\n\n.. code-block:: python\n\n    APPSEARCH_INDEXING_ENABLED = True\n\nExample with all settings entries\n^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n\n.. code-block:: python\n\n    APPSEARCH_HOST = 'localhost:3002'\n    APPSEARCH_API_KEY = 'private-key'\n    APPSEARCH_USE_HTTPS = False\n    APPSEARCH_CHUNK_SIZE = 50\n    APPSEARCH_INDEXING_ENABLED = True\n\nWriting Tests\n=============\n\nThis package provides a test case mixin called ``MockedAppSearchTestCase`` which makes it easier for you to write test cases against ``AppSearchModel``'s without actually having to run an Elastic App Search instance during tests.\n\nAll you have to do is inherit the mixin, and all the calls to Elastic App Search will be mocked. Example below.\n\n.. code-block:: python\n\n    from django.test import TestCase\n    from django_elastic_appsearch.test import MockedAppSearchTestCase\n    from myapp.test.factories import CarFactory\n\n    class BookTestCase(MockedAppSearchTestCase, TestCase):\n        def test_indexing_book(self):\n            car = CarFactory()\n            car.save()\n            car.index_to_appsearch()\n\n            self.assertAppSearchModelIndexCallCount(1)\n\nYou will have access to the following methods to check call counts to different mocked app search methods.\n\n``self.assertAppSearchQuerySetIndexCallCount`` \u2014 Check the number of times index_to_appsearch was called on a appsearch model querysets.\n\n``self.assertAppSearchQuerySetDeleteCallCount`` \u2014 Check the number of times delete_from_appsearch was called on an appsearch model querysets.\n\n``self.assertAppSearchModelIndexCallCount`` \u2014 Check the number of times index_to_appsearch was called on an appsearch model objects.\n\n``self.assertAppSearchModelDeleteCallCount`` \u2014 Check the number of times delete_from_appsearch was called on an appsearch model objects.\n\nUsing the elastic app search python client\n==========================================\n\nWe use the official `elastic app search python client <https://github.com/elastic/app-search-python>`_ under the hood to communicate with the app search instance. So if needed, you can access the app search instance directly and use the functionality of the official elastic app search `client <https://github.com/elastic/app-search-python#usage>`_. Example below.\n\n.. code-block:: python\n\n    from django_elastic_appsearch.clients import get_api_v1_client\n\n    client = get_api_v1_client()\n    client.search('cars', 'Toyota Corolla', {})\n\nContributing\n------------\n\nContributors are welcome!\n\n* Prior to opening a pull request, please create an issue to discuss the change/feature you've written/thinking of writing if it doesn't already exist.\n\n* Please write simple code and concise documentation, when appropriate.\n\n* Please write test cases to cover the code you've written, where possible.\n\n* Read the `Contributing <https://django-elastic-appsearch.readthedocs.io/en/latest/contributing.html#>`_ section of our documentation for more information around contributing to this project.\n\nRunning Tests\n-------------\n\nDoes the code actually work?\n\n::\n\n    $ pipenv install --dev\n    $ pipenv shell\n    (django_elastic_appsearch) $ tox\n\nCredits\n-------\n\nTools used in rendering this package:\n\n*  Cookiecutter_\n*  `cookiecutter-djangopackage`_\n\n.. _Cookiecutter: https://github.com/audreyr/cookiecutter\n.. _`cookiecutter-djangopackage`: https://github.com/pydanny/cookiecutter-djangopackage\n\n\n\n\nHistory\n-------\n\n0.5.4 (2019-10-02)\n==================\n\n* Dependency upgrades\n\n0.5.3 (2019-08-28)\n==================\n\n* Improve documentation\n* Refactor settings name ``APPSEARCH_URL`` -> ``APPSEARCH_HOST``\n\n0.5.1 (2019-08-26)\n==================\n\n* Improve test coverage\n* Improve documentation\n* Add serpy as an official dependency\n* Bump dependency versions\n* Add code of conduct\n\n\n0.4.2 (2019-08-16)\n==================\n\n* Switch to the new official Elastic App Search python client\n* Documentation improvements\n\n\n0.2.3 (2019-08-02)\n==================\n\n* Use Pipenv for dependency management\n* Configure Dependabot for automatic dependency upgrades\n* Remove support for Python 3.4\n* Documentation improvements\n\n\n0.2.2 (2019-07-29)\n==================\n\n* Bug fixes\n* Documentation improvements\n\n\n0.1.0 (2019-07-26)\n==================\n\n* First release on PyPI.\n\n\n",
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