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    "info": {
        "author": "Big Fish Games, Inc.",
        "author_email": "",
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            "License :: OSI Approved :: BSD License",
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        "description": "A Python Client for the GameBench API\n\n[![Build Status](https://travis-ci.com/bigfishgames/GameBenchAPI-PyClient.svg?branch=master)](https://travis-ci.com/bigfishgames/GameBenchAPI-PyClient)\n[![Coverage](https://sonarcloud.io/api/project_badges/measure?project=bigfishgames_GameBenchAPI&metric=coverage)](https://sonarcloud.io/dashboard?id=bigfishgames_GameBenchAPI)\n[![Quality Gate Status](https://sonarcloud.io/api/project_badges/measure?project=bigfishgames_GameBenchAPI&metric=alert_status)](https://sonarcloud.io/dashboard?id=bigfishgames_GameBenchAPI)\n[![BCH compliance](https://bettercodehub.com/edge/badge/bigfishgames/GameBenchAPI-PyClient?branch=master)](https://bettercodehub.com/)\n[![Gitter](https://badges.gitter.im/bigfishgames/GameBench-API-PyClient.svg)](https://gitter.im/bigfishgames/GameBench-API-PyClient?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge)\n\nPlease check out our [ZenHub Board](https://app.zenhub.com/workspaces/gamebenchapi-pyclient-5cabf535a736c27636b0283d/board?repos=180245554) for open issues and feature\nrequests.\n\nRepository: [GitHub](https://github.com/bigfishgames/GameBenchAPI-PyClient)\n\nFor full documentation, go to the [ReadtheDocs](https://gamebenchapi-pyclient.readthedocs.io/) page.\n\n[PyPi](https://pypi.org/project/GameBenchAPI-PyClient-BigFish/#description)\n\n## Overview\nTo install, run `pip install GameBenchAPI-PyClient-BigFish`\n\nThe GameBench API Client library supplies a high-level object-oriented interface to the GameBench API. It is built in\nPython 3.7 and uses the Requests library and Pandas data frames to easily integrate into data analysis software.\n\nThe library has two main architectural components; the models and API packages. The API package is responsible for\nURL requests and dealing with the responses. The models are the objects representing the data returned. A mediator\nprovides the glue between the api and the models.\n\nAs a user of the library, you should only ever need to interact with the models creator class and the model objects\nit can return.\n\nRight now, the models are very thin. They only contain a property that has the data frame assigned. Over time we\nwould like to add common functionality, like aggregates, to these classes.\n\n## The Basics\nTo make a request, import the ModelCreator class.\nInstantiating the ModelCreator requires two arguments.  The first is a CamelCase style 'model'\nnamed after the metric that you are looking for; the model is dynamically imported based on this\nname.  The second argument is a dictionary that must include specific key/value pairs for\nquerying the GameBench API.\n\n```python\nfrom gamebench_api_client.models.creator.model_creator import ModelCreator\n\n\n\ntime_series_request = {\n    'session_id': '66d926f47ff5a7a5d853d1058c6305614e1ae6a5'\n}\n\ncreator = ModelCreator('Cpu', time_series_request)\ncpu_time_series = creator.get_model()\n\nresults = cpu_time_series.data\n\nprint(results)\n\n\"\"\"\n      appUsage  daemonUsage    gbUsage  timestamp  totalCpuUsage\n0  1372571.375            0  12.658228       5257      39.688461\n\"\"\"\n\n```\n\n\n",
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