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        "description": "Python-AWS-Dataclasses [WIP]\n===========\n[![Codecov](https://img.shields.io/codecov/c/github/hypoport/python-aws-dataclasses.svg)](https://github.com/hypoport/python-aws-dataclasses) ![GitHub](https://img.shields.io/github/license/hypoport/python-aws-dataclasses.svg) [![PyPI](https://img.shields.io/pypi/v/python-aws-dataclasses.svg)](https://pypi.org/project/python-aws-dataclasses/) [![PyPI - Python Version](https://img.shields.io/pypi/pyversions/python-aws-dataclasses.svg)](https://pypi.org/project/python-aws-dataclasses/)\n\nPython-AWS-Dataclasses provides data-classes for AWS lambda events and other AWS data.\nThe dataclasses are type-annotated, as to allow for full IDE (code completion / IntelliSense) support.\n\n## Quickstart\n\n### Installation\n\n```bash\n# using pip\npip install python-aws-dataclasses\n# or using pipenv\npipenv install python-aws-dataclasses.git\n```\n\n### Usage \n\nAssuming you have a dict of some AWS event (e.g. events passed into your `lambda_handler`) use the `from_event()`-method and access the objects via the _dot_-notation.\n\n```python\ndef lambda_handler(event, context):\n  # Example 1: Lambda asynchronously invoked via SNS\n  sns_event = SnsEvent.from_event(event)\n  print(sns_event.first_record.sns.message)\n\n  # Example 2: Lambda asynchronously invoked via S3-Event\n  s3_event = S3Event.from_event(event)\n  print(s3_event.first_record.s3.bucket.name)\n```\n\n## Contribution\n\nEveryone is free to contribute and submit Pull-Requests.\n\n## Misc\n\n**Test using tox**\n\n```\ntox\n```\n\n**Test using setup.py**\n\n```\npython setup.py test\n```\n",
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