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    "info": {
        "author": "mongodb",
        "author_email": "mongodb-user@googlegroups.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 4 - Beta",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: Apache Software License",
            "Operating System :: MacOS :: MacOS X",
            "Operating System :: Microsoft :: Windows",
            "Operating System :: POSIX",
            "Operating System :: Unix",
            "Programming Language :: Python :: 2.6",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3.3",
            "Programming Language :: Python :: 3.4",
            "Topic :: Database",
            "Topic :: Software Development :: Libraries :: Python Modules"
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        "description": "===================\nelastic-doc-manager\n===================\n\n.. image:: https://travis-ci.org/mongodb-labs/elastic-doc-manager.svg?branch=master\n   :alt: View build status\n   :target: https://travis-ci.org/mongodb-labs/elastic-doc-manager\n\n**Note: This is the document manager for Elasticsearch 1.x. If you want to use\nElasticsearch >= 2.0, please install elastic2-doc-manager.**\n\nGetting Started\n===============\n\nThis package is a document manager for\n`mongo-connector <https://github.com/mongodb-labs/mongo-connector>`_ that\ntargets Elasticsearch version 1.x.\nFor information on running mongo-connector with Elasticsearch, please see the\n`MongoConnector Usage with Elasticsearch\n<https://github.com/mongodb-labs/mongo-connector/wiki/Usage%20with%20ElasticSearch>`_\nwiki page.\n\nInstallation\n============\n\nThe installation of the elastic-doc-manager depends on which version of\nElasticsearch you are targeting.\n\nElasticsearch 1.x\n-----------------\n\nFor use with an Elasticsearch 1.x server, install with\n`pip <https://pypi.python.org/pypi/pip>`__::\n\n  pip install 'elastic-doc-manager'\n\nAmazon Elasticsearch 1.x Service\n--------------------------------\n\nTo use with Amazon Elasticsearch Service, you must install the required AWS\ndependencies along with the version of Elasticsearch::\n\n  pip install 'elastic-doc-manager[aws]'\n\nElasticsearch >= 2.0\n--------------------\n\nThis is the document manager for Elasticsearch 1.x only. If you\nwant to target 2.0 or greater, please install the\n`elastic2-doc-manager <https://github.com/mongodb-labs/elastic2-doc-manager>`_.\n\nDevelopment\n-----------\n\nYou can also install the development version of elastic-doc-manager\nmanually::\n\n  git clone https://github.com/mongodb-labs/elastic-doc-manager.git\n  pip install -e './elastic-doc-manager'\n\nYou may have to run ``pip`` with ``sudo``, depending on where you're\ninstalling and what privileges you have.\n\n**Note: Before mongo-connector version 2.2.2, the elastic doc manager was packaged with mongo-connector\nand only supported Elasticsearch 1.x.**\n\nRunning the tests\n-----------------\nRequirements\n~~~~~~~~~~~~\n\n#. Copy of the Elastic 1.x Document Manager Github repository\n\n   The tests are not included in the package from PyPI and can only be acquired by cloning this repository on Github::\n\n     git clone https://github.com/mongodb-labs/elastic-doc-manager\n\n#. Mongo Orchestration\n\n   Mongo Connector runs MongoDB on its own using another tool called `Mongo Orchestration <https://github.com/mongodb/mongo-orchestration>`__. This package should install automatically if you run ``python setup.py test``, but the Mongo Orchestration server still needs to be started manually before running the tests::\n\n     mongo-orchestration --bind 127.0.0.1 --config orchestration.config start\n\n   will start the server. To stop it::\n\n     mongo-orchestration --bind 127.0.0.1 --config orchestration.config stop\n\n   The location of the MongoDB server should be set in orchestration.config. For more information on how to use Mongo Orchestration, or how to use it with different arguments, please look at the Mongo-Orchestration README.\n#. Environment variables\n\n   There are a few influential environment variables that affect the tests. These are:\n\n   - ``DB_USER`` is the username to use if running the tests with authentication enabled.\n   - ``DB_PASSWORD`` is the password for the above.\n   - ``MONGO_PORT`` is the starting port for running MongoDB. Future nodes will be started on sequentially increasing ports.\n   - ``ES_HOST`` is the hostname on which Elasticsearch is running.\n   - ``ES_PORT`` is the port on which Elasticsearch is running.\n   - ``MO_ADDRESS`` is the address to use for Mongo Orchestration (i.e. hostname:port)\n\nAll the tests live in the `tests` directory.\n\nRunning tests on the command-line\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\nWhile the tests take care of setting up and tearing down MongoDB clusters on their own, make sure to start Elastic before doing a full test run!\n\nYou can run all the tests with one command (this works in all supported Python versions)::\n\n  python setup.py test\n\nIn addition, you can be more selective with which tests you run (in Python > 2.6 only)! For example, if you only wanted to run the elastic doc manager tests::\n\n  python -m unittest tests.test_elastic_doc_manager\n\nError messages\n~~~~~~~~~~~~~~\n\nSome of the tests are meant to generate lots of ``ERROR``-level log messages, especially the rollback tests. mongo-connector logs exceptions it encounters while iterating the cursor in the oplog, so we see these in the console output while MongoDB clusters are being torn apart in the tests. As long as all the tests pass with an `OK` message, all is well.\n",
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        "keywords": "mongo-connector",
        "license": "Apache License, Version 2.0",
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        "name": "elastic-doc-manager",
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