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GameBenchAPI-PyClient-BigFish-1.0.3

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مشاهده بیشتر
1.0.3
1.0.2
1.0.1
1.0.0
1.0.3
1.0.2
1.0.1
1.0.0

توضیحات

A GameBench API Client Library.
ویژگی مقدار
سیستم عامل OS Independent
نام فایل GameBenchAPI-PyClient-BigFish-1.0.3
نام GameBenchAPI-PyClient-BigFish
نسخه کتابخانه 1.0.3
نگهدارنده []
ایمیل نگهدارنده []
نویسنده Big Fish Games, Inc.
ایمیل نویسنده -
آدرس صفحه اصلی https://github.com/bigfishgames/GameBenchAPI-PyClient
آدرس اینترنتی https://pypi.org/project/GameBenchAPI-PyClient-BigFish/
مجوز -
A Python Client for the GameBench API [![Build Status](https://travis-ci.com/bigfishgames/GameBenchAPI-PyClient.svg?branch=master)](https://travis-ci.com/bigfishgames/GameBenchAPI-PyClient) [![Coverage](https://sonarcloud.io/api/project_badges/measure?project=bigfishgames_GameBenchAPI&metric=coverage)](https://sonarcloud.io/dashboard?id=bigfishgames_GameBenchAPI) [![Quality Gate Status](https://sonarcloud.io/api/project_badges/measure?project=bigfishgames_GameBenchAPI&metric=alert_status)](https://sonarcloud.io/dashboard?id=bigfishgames_GameBenchAPI) [![BCH compliance](https://bettercodehub.com/edge/badge/bigfishgames/GameBenchAPI-PyClient?branch=master)](https://bettercodehub.com/) [![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) Please check out our [ZenHub Board](https://app.zenhub.com/workspaces/gamebenchapi-pyclient-5cabf535a736c27636b0283d/board?repos=180245554) for open issues and feature requests. Repository: [GitHub](https://github.com/bigfishgames/GameBenchAPI-PyClient) For full documentation, go to the [ReadtheDocs](https://gamebenchapi-pyclient.readthedocs.io/) page. [PyPi](https://pypi.org/project/GameBenchAPI-PyClient-BigFish/#description) ## Overview To install, run `pip install GameBenchAPI-PyClient-BigFish` The GameBench API Client library supplies a high-level object-oriented interface to the GameBench API. It is built in Python 3.7 and uses the Requests library and Pandas data frames to easily integrate into data analysis software. The library has two main architectural components; the models and API packages. The API package is responsible for URL requests and dealing with the responses. The models are the objects representing the data returned. A mediator provides the glue between the api and the models. As a user of the library, you should only ever need to interact with the models creator class and the model objects it can return. Right now, the models are very thin. They only contain a property that has the data frame assigned. Over time we would like to add common functionality, like aggregates, to these classes. ## The Basics To make a request, import the ModelCreator class. Instantiating the ModelCreator requires two arguments. The first is a CamelCase style 'model' named after the metric that you are looking for; the model is dynamically imported based on this name. The second argument is a dictionary that must include specific key/value pairs for querying the GameBench API. ```python from gamebench_api_client.models.creator.model_creator import ModelCreator time_series_request = { 'session_id': '66d926f47ff5a7a5d853d1058c6305614e1ae6a5' } creator = ModelCreator('Cpu', time_series_request) cpu_time_series = creator.get_model() results = cpu_time_series.data print(results) """ appUsage daemonUsage gbUsage timestamp totalCpuUsage 0 1372571.375 0 12.658228 5257 39.688461 """ ```


نیازمندی

مقدار نام
~=0.24.2 pandas
<1.25,>=1.24.2 urllib3
~=2.21.0 requests


زبان مورد نیاز

مقدار نام
>=3.7 Python


نحوه نصب


نصب پکیج whl GameBenchAPI-PyClient-BigFish-1.0.3:

    pip install GameBenchAPI-PyClient-BigFish-1.0.3.whl


نصب پکیج tar.gz GameBenchAPI-PyClient-BigFish-1.0.3:

    pip install GameBenchAPI-PyClient-BigFish-1.0.3.tar.gz