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        "author_email": "addi00+github.com@gmail.com",
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        "classifiers": [
            "Development Status :: 4 - Beta",
            "Environment :: Web Environment",
            "Framework :: Django",
            "Intended Audience :: Developers",
            "Intended Audience :: Information Technology",
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            "License :: OSI Approved :: MIT License",
            "Operating System :: MacOS :: MacOS X",
            "Operating System :: POSIX",
            "Programming Language :: Python",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7",
            "Programming Language :: Python :: 3 :: Only",
            "Topic :: Database",
            "Topic :: Internet :: WWW/HTTP :: Indexing/Search",
            "Topic :: System :: Networking"
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        "description": "This is a modern replacement of [django-simple-elasticsearch](https://github.com/jaddison/django-simple-elasticsearch/) (DSE). Both Django\nand Elasticsearch have seen major changes over the years; this is a move to keep up.\n\n##### Why not just update django-simple-elasticsearch?\n\n* DSE is Django-specific; I wanted to build a solution that could be used in a broader scope of applications\n* To start fresh and avoid assumptions made in the DSE project\n* Dropped support for Python 2\n\n##### Details\n\n* Flexible and modular; eg. Django support is available via a 'contrib' module\n* Supports multi-process indexing and asynchronous IO via `gevent`\n* Depends on elasticsearch-dsl-py rather than the low level elasticsearch-py package\n  * You get a lot of functionality for free!\n* Python 3 only\n* esdocs >= 0.6 supports Elasticsearch 7.x\n\n##### Installation\n\n```\npip install esdocs\n```\n\nIf multi-process indexing is desired, you will want to install it along with the necessary `gevent` dependencies:\n\n```\npip install esdocs[gevent]\n```\n\n##### Command Line Usage\n\n```\n$ esdocs -h\nusage: esdocs [-h] [-v] [--version] [--no_input] [--indexes INDEXES]\n              [--using USING] [--multi [MULTI]]\n              {list,init,update,rebuild,cleanup} ...\n\noptional arguments:\n  -h, --help            show this help message and exit\n  -v, --verbose         increase output verbosity\n  --version             show program's version number and exit\n  --no_input, --noinput\n                        Do not prompt for user input (assumes 'Yes' for\n                        actions)\n  --indexes INDEXES     Comma-separate list of index names to target\n  --using USING         Elasticsearch named connection to use\n  --multi [MULTI]       Enable multiple processes and optionally set number of\n                        CPU cores to use (defaults to all cores)\n\ncommands:\n  {list,init,update,rebuild,cleanup}\n    list                List indexes\n    init                Initialize indexes\n    update              Update indexes\n    rebuild             Rebuild indexes\n    cleanup             Delete unaliased indexes\n```\n\nTo rebuild indexes specified by document serializers in `ESDOCS_SERIALIZER_MODULES`:\n\n```\nexport ESDOCS_SERIALIZER_MODULES=\"mypackage.module1,myotherpackage.module2\"\nexport ESDOCS_SERIALIZER_COMPATIBILITY_HOOKS=\"esdocs.contrib.postgresql.compatibility.range_field\"\n\nesdocs rebuild\n```\n\nMulti-process indexing:\n```\nexport ESDOCS_GEVENT=y\nexport ESDOCS_SERIALIZER_MODULES=\"mypackage.module1,myotherpackage.module2\"\nexport ESDOCS_SERIALIZER_COMPATIBILITY_HOOKS=\"esdocs.contrib.postgresql.compatibility.range_field\"\n\n# auto detect number of CPU cores to use\nesdocs rebuild --multiproc\n\n# specify the number of cores to use\nesdocs rebuild --multiproc --numprocs=4\n```\n\n###### Django\n\nYou must specify `ESDOCS_SERIALIZER_MODULES` in your Django settings and add `esdocs.contrib.esdjango` to your\n`INSTALLED_APPS`. You can optionally set `ESDOCS_SERIALIZER_COMPATIBILITY_HOOKS` as well:\n\n```\n\nINSTALLED_APPS = [\n    'django.contrib.auth',\n    'django.contrib.contenttypes',\n    'django.contrib.sessions',\n    ...,\n    'esdocs.contrib.esdjango'\n]\n\n\nESDOCS_SERIALIZER_MODULES = [\n    'mypackage.module1',\n    'myotherpackage.module2'\n]\n\n# these are the current defaults for this setting\nESDOCS_SERIALIZER_COMPATIBILITY_HOOKS = [\n    'esdocs.contrib.esdjango.compatibility.manager',\n    'esdocs.contrib.esdjango.compatibility.geosgeometry',\n    'esdocs.contrib.postgresql.compatibility.range_field'\n]\n```\n\n##### Serializing Data\n\nFor esdocs to work, you need to define `Document` and `Serializer` (or `DjangoSerializer`) subclasses to index\nyour data. `Document` comes from the excellent elasticsearch-dsl-py, while `Serializer`/`DjangoSerializer` are\na part of esdocs.\n\n* `Document` defines the Elasticsearch field mappings\n* `Serializer` is associated with a `Document`\n* `Serializer` defines how to retrieve the dataset\n* For each record in your dataset, the `Serializer` will attempt to retrieve a value for each field defined on the associated `Document`\n  * There are a number of methods you can implement on a `Serializer` to retrieve (or construct/munge) each value\n\n###### Examples\n\n```\n\n```\n\n",
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