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        "author": "Maxim Tacu",
        "author_email": "maxtacu95@gmail.com",
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            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python :: 3.6",
            "Topic :: System :: Systems Administration"
        ],
        "description": "==============\n AWS-Datapipe\n==============\n\nA tool for creating AWS data pipeline. Currently only for **exporting data from any DynamoDB table to an existing S3 bucket** \nand store the Pipeline Definition as a backup. New features are going to be added (check for updates).\n\n`Just because terraform can't do it yet..`\n\n---------------\n Prerequisites\n---------------\n\n**This tool supports only Python 3 because Python 2.7 will not be maintained past 2020**\n\nAWS-Datapipe uses awscli to configure pipelines in your AWS account. By default, installing aws-datapipe you will also\ninstall all the prerequisites, so you can skip this phase and move to the `Installation step`. But in case if you want to do it manually:\n\nThe easiest way to install aws-cli is to use `pip <https://pypi.org/project/pip/>`_ in a ``virtualenv``::\n\n    $ pip install awscli\n\nor, if you are not installing in a ``virtualenv``, to install globally::\n\n    $ sudo pip install awscli\n\nor for your user::\n\n    $ pip install --user awscli\n\nIf you have the aws-cli installed and want to upgrade to the latest version\nyou can run::\n\n    $ pip install --upgrade awscli\n\nBecause aws-datapipe is based on aws-cli, before using aws-datapipe, \nyou need to configure your AWS credentials using aws-cli.  \nYou can do this in several ways:\n\n* Environment variables\n* Shared credentials file\n* Config file\n* IAM Role\n\nThe quickest way to get started is to run the ``aws configure`` command::\n\n    $ aws configure\n    AWS Access Key ID: foo\n    AWS Secret Access Key: bar\n    Default region name [us-west-2]: us-west-2\n    Default output format [None]: json\n\nFor additional info and other ways of aws-cli configuration you can check `here <https://docs.aws.amazon.com/cli/latest/userguide/cli-chap-configure.html>`_\n\n---------------\n Installing\n---------------\n\nThe easiest way to install aws-datapipe is to use `pip <https://pypi.org/project/pip/>`_ in a ``virtualenv``::\n\n    $ pip install aws-datapipe\n\nor, if you are not installing in a ``virtualenv``, to install globally::\n\n    $ sudo pip install aws-datapipe\n\nor for your user::\n\n    $ pip install --user aws-datapipe\n\nIf you have the aws-datapipe installed and want to upgrade to the latest version\nyou can run::\n\n    $ pip install --upgrade aws-datapipe\n\n\nEnd with an example of getting some data out of the system or using it for a little demo\n\n---------------\nGetting Started\n---------------\nYou can use AWS Datapipe in two different ways: \n\n* interactive\n* passing arguments\n\nTo list all available arguments and additional info check please the ``--help``.\n\nFor interactive mode just start the tool ``aws-datapipe`` and it will ask you for the required information to build a pipeline.\n\nAfter creating data pipeline in AWS, datapipe will save locally a `pipeline definition file` with the same name as your \npipeline that can be used as a backup. After that you can activate the pipeline directly in the script on the next step:\n\n``Would you like to activate the pipeline now? [y/n]``  \n\nYou can omit activation and manually activate the pipeline later whenever you want from the AWS Console\n\nCurrently ``aws-datapipe`` is creating pipeline which will **run every 14 days after activation**. \n\nSchedule configuration is coming soon.. check for updates\n\n-----------\nVersioning\n-----------\n\nI use `SemVer <http://semver.org/>`_ for versioning. For the versions available, see the `tags on this repository <https://github.com/tmxak/aws-datapipe/tags>`_. \n\n-------\nAuthor\n-------\n\n* **Maxim Tacu** - Site Reliability Engineer - `OLX Group <https://www.olxgroup.com/>`_.\n\n-------\nLicense\n-------\n\nThis project is licensed under the MIT License - see the `LICENSE <LICENSE>`_ file for details\n\n\nHow to Contribute\n-----------------\n\nContributions are very welcome. The easiest way is to fork this repo, and then\nmake a pull request from your fork.",
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