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开源软件名称(OpenSource Name):aws/amazon-chime-sdk-component-library-react开源软件地址(OpenSource Url):https://github.com/aws/amazon-chime-sdk-component-library-react开源编程语言(OpenSource Language):TypeScript 92.1%开源软件介绍(OpenSource Introduction):Amazon Chime SDK React Components LibraryAmazon Chime SDK Project Board Amazon Chime SDK React Components Library Documentation Amazon Chime SDK for JavaScript Library The Amazon Chime SDK makes it easy to add collaborative audio calling, video calling, and screen share features to web applications by using the same infrastructure services that power millions of Amazon Chime online meetings. The Amazon Chime SDK React Component Library supplies client-side state management and reusable UI components for common web interfaces used in audio and video conferencing applications, including: video tile grids, microphone activity indicators, and call controls. All components come with a simple, modern design, and can be used as-is or restyled with a custom theme. In addition to UI components, the library leverages Reacts' state management tools such as Providers and Hooks to connect to the Amazon Chime SDK for JavaScript and pass data to the UI layer, simplifying state synchronization so that developers can concentrate on building engaging experiences. Guidance on consuming these SDK Components is available at Amazon Chime SDK React Component Library Documentation. Our Storybook documentation also captures a Quick Start Guide. The Amazon Chime SDK Project Board captures the status of community feature requests across all our repositories. The descriptions of the columns on the board are captured in this guide. To get started, see the following resourcesAmazon Chime SDK for JavaScript Documentation ExamplesBuilding Breakout Room Experiences with the Amazon Chime SDK React Component Library Quickly launch an Amazon Chime SDK application with AWS Amplify Installation and DevelopmentIf you are adding this library to your existing application, add
Otherwise clone the repo and install the dependencies. Contributing to the component libraryTo generate dependencies
To run the Storybook server locally
Build
Once you build, check and resolve any warnings you may get like unresolved dependencies or circular dependencies. Remove these as it will help in bundling the library warning/error free. TestRun all unit test suites.
Run an individual unit test suite.
Run all unit test suites in watch mode
Run all snapshot test suites. Docker is required to run Puppeteer in a Docker container.
Troubleshooting
You may need to create a Docker Hub account and authenticate pull request from Docker Hub. Unauthenticated (anonymous) users will have the limits enforced via IP.
You have 2 options:
Run an individual snapshot test suite, make sure that storybook server is running locally before kicking off the test.
Run an individual snapshot test suite and override existing snapshot(s).
A code coverage summary will be printed at the end of each Troubleshooting and SupportReview the resources given in the ReadMe and use our client documentation for guidance on how to develop on this library. Additionally, search our issues database to see if your issue is already addressed. If not please cut us an issue using the provided templates. If you have more questions, or require support for your business, you can reach out to AWS Customer support. You can review our support plans here. NoticeThe use of Amazon Voice Focus via this SDK involves the downloading and execution of code at runtime by end users. The use of Amazon Voice Focus, Amazon Chime Echo Reduction, Background Blur and Background Replacement runtime code is subject to additional notices. See this Amazon Voice Focus NOTICES file, background blur and background replacement NOTICES file for details. You agree to make these additional notices available to all end users who use Amazon Voice Focus and background blur runtime code via this SDK. The use of TensorFlow runtime code referenced above may be subject to additional license requirements. See the licenses page for TensorFlow.js here and TensorFlow.js models here for details. You and your end users are responsible for all Content (including any images) uploaded for use with background replacement, and must ensure that such Content does not violate the law, infringe or misappropriate the rights of any third party, or otherwise violate a material term of your agreement with Amazon (including the documentation, the AWS Service Terms, or the Acceptable Use Policy). LicenseThis project is licensed under the Apache-2.0 License. Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. |
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