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docs: Update many references to "FRS" with "AFR" (#23231)
The repo has many lingering references to the old "FRS" terminology.
This PR replaces some trivial (mostly documentation) usages with "AFR".
We still have a number of usages of "FRS" terminology in code, which I
am not tackling here. Those should be done separately.
Copy file name to clipboardExpand all lines: azure/packages/test/scenario-runner/README.md
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## Azure Scenario Runner
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This package provides a reference application that executes pre-set scenarios with the intent of measuring the Fluid Framework's performance and reliability. We primarily use this package as part of a pipeline scheduled to run periodically to measure, log, and report various performance and reliability metrics. These metrics can then be used to gauge an undrestanding of the expected behavior/performance of the Fluid Framework in these various scenarios, which can help define the SLA.
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This package provides a reference application that executes pre-set scenarios with the intent of measuring the Fluid Framework's performance and reliability. We primarily use this package as part of a pipeline scheduled to run periodically to measure, log, and report various performance and reliability metrics. These metrics can then be used to gauge an understanding of the expected behavior/performance of the Fluid Framework in these various scenarios, which can help define the SLA.
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## Running the perf tests locally
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1. Set the `azure__fluid__relay__service__tenantId` environment variable to equal your FRS TenantID
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2. Set the `azure__fluid__relay__service__tenantKey` environment variable to equal your FRS Tenant's Primary Key
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3. Set the `azure__fluid__relay__service__function__url` environment variable to equal your FRS Service Function URL
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4. Set the `azure__fluid__relay__service__endpoint` environment variable to equal the Alfred endpoint of your FRS tenant
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5. (Optional) Set the `azure__fluid__relay__service__region` environment variable to equal the region of your FRS tenant (eg. `westus2`, `westus3`, `eastus`, `westeurope`)
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1. Set the `azure__fluid__relay__service__tenantId` environment variable to equal your Azure Fluid Relay (AFR) TenantID
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2. Set the `azure__fluid__relay__service__tenantKey` environment variable to equal your AFR Tenant's Primary Key
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3. Set the `azure__fluid__relay__service__function__url` environment variable to equal your AFR Service Function URL
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4. Set the `azure__fluid__relay__service__endpoint` environment variable to equal the Alfred endpoint of your AFR tenant
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5. (Optional) Set the `azure__fluid__relay__service__region` environment variable to equal the region of your AFR tenant (eg. `westus2`, `westus3`, `eastus`, `westeurope`)
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6. Run the test with `npm run start`
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## Configuring the test configuration
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[TBD]
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Scenario runnner for FRS and Azure Local Service. This package can be used to create and execute various scenarios involving azure-client, IFluidContainer and a range of distributed data structures (DDSes), while collecting telemetry and validating state in the process. Scenarios are sourced via yaml config files.
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Scenario runner for AFR and Azure Local Service. This package can be used to create and execute various scenarios involving azure-client, IFluidContainer and a range of distributed data structures (DDSes), while collecting telemetry and validating state in the process. Scenarios are sourced via yaml config files.
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You can add new scenarios by following existing patterns (see `MapTrafficRunner` or `DocLoaderRunner` for examples) and adding additional test configs to the `configs` directory. Then, run your scenario with the command: `npm run start:scenario ./configs/<config-name>.yml`.
Copy file name to clipboardExpand all lines: docs/docs/build/overview.mdx
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#### Azure Fluid Relay
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[Azure Fluid Relay](../deployment/azure-frs) is a cloud service that enables real-time collaboration on shared data models. It is a fully managed service that provides a secure, scalable, and reliable way to connect clients to each other and to the data models they share.
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[Azure Fluid Relay](../deployment/azure-fluid-relay) is a cloud service that enables real-time collaboration on shared data models. It is a fully managed service that provides a secure, scalable, and reliable way to connect clients to each other and to the data models they share.
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#### SharePoint Embedded
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For specifics about each service-specific client implementation see their corresponding documentation.
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- The client library for the [Tinylicious](/docs/testing/tinylicious) service is in the package [@fluidframework/tinylicious-client](https://www.npmjs.com/package/@fluidframework/tinylicious-client).
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- The client library for the [Azure Fluid Relay](../deployment/azure-frs) is in the package [@fluidframework/azure-client](https://www.npmjs.com/package/@fluidframework/azure-client).
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- The client library for the [Azure Fluid Relay](../deployment/azure-fluid-relay) is in the package [@fluidframework/azure-client](https://www.npmjs.com/package/@fluidframework/azure-client).
Copy file name to clipboardExpand all lines: docs/docs/testing/testing.mdx
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## Overview
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Testing and automation are crucial to maintaining the quality and longevity of your code. Internally, Fluid has a range of unit and integration tests powered by [Mocha](https://mochajs.org/), [Jest](https://jestjs.io/), [Puppeteer](https://github.com/puppeteer/puppeteer), and [webpack](https://webpack.js.org/). Tests that need to run against a service are backed by [Tinylicious](./tinylicious) or a test tenant of a [live service](../deployment/service-options) such as [Azure Fluid Relay](../deployment/azure-frs).
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Testing and automation are crucial to maintaining the quality and longevity of your code. Internally, Fluid has a range of unit and integration tests powered by [Mocha](https://mochajs.org/), [Jest](https://jestjs.io/), [Puppeteer](https://github.com/puppeteer/puppeteer), and [webpack](https://webpack.js.org/). Tests that need to run against a service are backed by [Tinylicious](./tinylicious) or a test tenant of a [live service](../deployment/service-options) such as [Azure Fluid Relay](../deployment/azure-fluid-relay).
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This document will explain how to use these tools to get started with writing automation for Fluid applications against a service. It will focus on interactions with the service rather than automation in general, and will not cover the automation tools themselves or scenarios that do not require a service.
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## Automation against Azure Fluid Relay
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Your automation can connect to a test tenant for Azure Fluid Relay in the same way as your production tenant and only needs the appropriate connection configuration. See [Connect to Azure Fluid Relay](../deployment/azure-frs) for more details.
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Your automation can connect to a test tenant for Azure Fluid Relay in the same way as your production tenant and only needs the appropriate connection configuration. See [Connect to Azure Fluid Relay](../deployment/azure-fluid-relay) for more details.
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### Azure Fluid Relay as an abstraction for Tinylicious
Copy file name to clipboardExpand all lines: docs/versioned_docs/version-1/api/fluid-framework.mdx
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# fluid-framework Package
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The fluid-framework package bundles a collection of Fluid Framework client libraries for easy use when paired with a corresponding service client package (for example, [@fluidframework/azure-client](/docs/deployment/azure-frs) or [@fluidframework/tinylicious-client](/docs/testing/tinylicious)).
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The fluid-framework package bundles a collection of Fluid Framework client libraries for easy use when paired with a corresponding service client package (for example, [@fluidframework/azure-client](/docs/deployment/azure-fluid-relay) or [@fluidframework/tinylicious-client](/docs/testing/tinylicious)).
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The `fluid-framework` packages surfaces APIs from the following sub-packages.
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The following APIs can be referenced independently, but they can all be imported directly from the `fluid-framework` package:
Copy file name to clipboardExpand all lines: docs/versioned_docs/version-1/build/overview.mdx
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#### Azure Fluid Relay
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[Azure Fluid Relay](../deployment/azure-frs) is a cloud service that enables real-time collaboration on shared data models. It is a fully managed service that provides a secure, scalable, and reliable way to connect clients to each other and to the data models they share.
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[Azure Fluid Relay](../deployment/azure-fluid-relay) is a cloud service that enables real-time collaboration on shared data models. It is a fully managed service that provides a secure, scalable, and reliable way to connect clients to each other and to the data models they share.
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#### Tinylicious
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For specifics about each service-specific client implementation see their corresponding documentation.
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- The client library for the [Tinylicious](/docs/testing/tinylicious) service is in the package [@fluidframework/tinylicious-client](https://www.npmjs.com/package/@fluidframework/tinylicious-client).
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- The client library for the [Azure Fluid Relay](../deployment/azure-frs) is in the package [@fluidframework/azure-client](https://www.npmjs.com/package/@fluidframework/azure-client).
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- The client library for the [Azure Fluid Relay](../deployment/azure-fluid-relay) is in the package [@fluidframework/azure-client](https://www.npmjs.com/package/@fluidframework/azure-client).
Copy file name to clipboardExpand all lines: docs/versioned_docs/version-1/testing/testing.mdx
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## Overview
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Testing and automation are crucial to maintaining the quality and longevity of your code. Internally, Fluid has a range of unit and integration tests powered by [Mocha](https://mochajs.org/), [Jest](https://jestjs.io/), [Puppeteer](https://github.com/puppeteer/puppeteer), and [webpack](https://webpack.js.org/). Tests that need to run against a service are backed by [Tinylicious](./tinylicious) or a test tenant of a [live service](../deployment/service-options) such as [Azure Fluid Relay](../deployment/azure-frs).
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Testing and automation are crucial to maintaining the quality and longevity of your code. Internally, Fluid has a range of unit and integration tests powered by [Mocha](https://mochajs.org/), [Jest](https://jestjs.io/), [Puppeteer](https://github.com/puppeteer/puppeteer), and [webpack](https://webpack.js.org/). Tests that need to run against a service are backed by [Tinylicious](./tinylicious) or a test tenant of a [live service](../deployment/service-options) such as [Azure Fluid Relay](../deployment/azure-fluid-relay).
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This document will explain how to use these tools to get started with writing automation for Fluid applications against a service. It will focus on interactions with the service rather than automation in general, and will not cover the automation tools themselves or scenarios that do not require a service.
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## Automation against Azure Fluid Relay
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Your automation can connect to a test tenant for Azure Fluid Relay in the same way as your production tenant and only needs the appropriate connection configuration. See [Connect to Azure Fluid Relay](../deployment/azure-frs) for more details.
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Your automation can connect to a test tenant for Azure Fluid Relay in the same way as your production tenant and only needs the appropriate connection configuration. See [Connect to Azure Fluid Relay](../deployment/azure-fluid-relay) for more details.
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### Azure Fluid Relay as an abstraction for Tinylicious
Copy file name to clipboardExpand all lines: packages/service-clients/end-to-end-tests/azure-client/README.md
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# @fluidframework/azure-end-to-end-tests
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Functional end-to-end tests for FRS and Azure Local Service. Here we evaluate various scenarios that involving azure-client, IFluidContainer and a range of distributed data structures (DDSes).
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Functional end-to-end tests for Azure Fluid Relay (AFR) and Azure Local Service.
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Here we evaluate various scenarios involving `azure-client`, `IFluidContainer` and a range of distributed data structures (DDSes).
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To run FRS e2e tests: `test:realsvc:azure`.
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To run AFR end-to-end tests: `test:realsvc:azure`.
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To run Azure Local Service e2e tests: `test:realsvc`.
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To run Azure Local Service end-to-end tests: `test:realsvc`.
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