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    "info": {
        "author": "Pat Ambrosio",
        "author_email": "patambrosio@me.com",
        "bugtrack_url": null,
        "classifiers": [
            "License :: OSI Approved :: GNU General Public License v2 (GPLv2)",
            "Programming Language :: Python",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: Implementation :: CPython",
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        "description": "\n[![CircleCI](https://circleci.com/gh/hmngwy/py-aws-lambda-handler.svg?style=svg)](https://circleci.com/gh/hmngwy/py-aws-lambda-handler) [![codecov](https://codecov.io/gh/hmngwy/py-aws-lambda-handler/branch/develop/graph/badge.svg)](https://codecov.io/gh/hmngwy/py-aws-lambda-handler)\n\n![](https://codecov.io/gh/hmngwy/py-aws-lambda-handler/branch/develop/graphs/tree.svg?height=70&width=898)\n\n## aws-lambda-handlers\n\nBetter Python 3 AWS Lambda Handlers.\n\nCurrently, your only choice for making Python handlers for AWS Lambda is to create a function like so:\n\n```\ndef handler(event, context):\n    return True\n```\n\nThis isn't ideal when you start dealing with more than one handler, or if you want to provide a configurable and reusable handler. This package provides three base classes, the `Handler`, the `Request`, and the `Response` handler.\n\nThe `Handler` class is a [callable](https://en.wikipedia.org/wiki/Callable_object), you create a subclass off of this, instantiate it, and that's what you configure AWS\u03bb to invoke.\n\nYour `Handler` has to have a `perform(self, request)` method, this houses your handler's business logic, `Handler.__call__` executes this function and expects a `Response` object.\n\nThe `Response` object behaves like a dictionary and an object, an attribute called `serialized` is returned to AWS\u03bb.\n\nThe `request` argument in `perform(self, request)` is a `Request` object, and it houses the `event` and `context` parameters that AWS\u03bb passes to your handler. Packaging those handler arguments into an object makes them available for transparent mutations, see [`aws_lambda.apig.APIGatewayRequest`](py-aws-lambda-handler/aws_lambda/apig/\\_\\_init\\_\\_.py) for reference.\n\nThe foundation of this library is tiny, I recommend reviewing the [main classes](py-aws-lambda-handler/aws_lambda/__init__.py) to further understand how to use this package.\n\n### Usage\n\n```\npip install aws-lambda-handler\n```\n\n```python\nimport aws_lambda\n\nclass EchoHandler(aws_lambda.Handler):\n    \"\"\"Echo handler.\"\"\"\n\n    def perform(self, request, **k):\n        \"\"\"Echo perform method.\"\"\"\n        response = aws_lambda.Response()\n        response.body = self.request.event\n        return response\n\necho_handler = EchoHandler()\n\n# `echo_handler` is now a callable function you can map your AWS Lambda function to\n```\n\n### Develop\n\nFork this library and send over PRs, I will consider applications for contributors if two of your PRs gets merged and published.\n\n```\npipenv sync --dev # setup\npipenv run pytest # test\n```\n\n### Supported Event Sources\n\n- [x] API Gateway `aws_lambda.apig`\n- [ ] S3\n- [ ] DynamoDB\n- [ ] SNS\n- [ ] SES\n- [ ] SQS\n- [ ] Cognito\n- [ ] Cloudwatch Logs, Events\n\n#### Help\n\nWe want support for more event sources, I am willing to entertain PRs. You can use the `aws_lambda.apig` submodule as an example of implementing more event sources.\n\n\n",
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