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        "author_email": "arlyon@me.com",
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            "Intended Audience :: Developers",
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        "description": "# AioBreaker\n\nPyBreaker is a Python implementation of the Circuit Breaker pattern, described\nin Michael T. Nygard's book [Release It!](http://pragprog.com/titles/mnee/release-it).\n\nCircuit breakers exist to allow one subsystem to fail without destroying\nthe entire system. This is done by wrapping dangerous operations\n(typically integration points) with a component that can circumvent\ncalls when the system is not healthy.\n\nThis project is a fork of [pybreaker](github.com/danielfm/pybreaker)\nby Daniel Fernandes Martins for a few reasons:\n\n- learning python packaging\n- learning python testing\n- learning python documentation\n- significant refactor when supporting asyncio\n- removal of tornado support\n- removal of python 2.7 - 3.4 support\n\n## Features\n\n- Configurable list of excluded exceptions (e.g. business exceptions)\n- Configurable failure threshold and reset timeout\n- Support for several event listeners per circuit breaker\n- Can guard generator functions\n- Functions and properties for easy monitoring and management\n- Thread-safe\n- Asyncio support\n- Optional redis backing\n\n## Requirements\n\nAll you need is `python 3.5` or higher.\n\n## Installation\n\nTo install, simply download from pypi:\n\n    $ pip install aiobreaker\n\n## Usage\n\nThe first step is to create an instance of `CircuitBreaker` for each\nintegration point you want to protect against.\n\n    from aiobreaker import CircuitBreaker\n\n    # Used in database integration points\n    db_breaker = CircuitBreaker(fail_max=5, reset_timeout=timedelta(seconds=60))\n\n    @db_breaker\n    async def outside_integration():\n        \"\"\"Hits the api\"\"\"\n        ...\n\nAt that point, go ahead and get familiar with the documentation.\n\n\n",
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        "license": "BSD",
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