feat(ci): Add GitHub Actions workflows for test automation and status badges
Add comprehensive test automation setup with GitHub Actions: - Create test.yml for running tests on main/develop branches - Add pr-test.yml for PR validation with test results comments - Add update-badges.yml for dynamic test status badge updates - Configure code coverage reporting with Codecov integration Documentation: - Add BADGE_SETUP.md with instructions for configuring test status badges - Add WORKFLOWS_GUIDE.md explaining CI/CD workflow setup - Update README.md with build and test status badges Test Framework: - Configure test project to use .NET 9.0 - Set up test coverage reporting with coverlet - Add integration tests with WireMock for API mocking - Add unit tests for configuration and HTTP client components - Document testing strategy in TestingStrategy.md Build: - Add Dockerfile.test for containerized testing - Update .gitignore for test artifacts - Configure test dependencies in VRCAuthProxy.Tests.csproj This change enables automated testing on PRs and branches, with visual status indicators and detailed test results in PR comments.
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README.md
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README.md
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# VRCAuthProxy
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#### A VRChat API Authorization Proxy Service
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[](https://github.com/PrideVRInc/VRCAuthProxy/actions/workflows/build.yml)
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[](https://github.com/PrideVRInc/VRCAuthProxy/actions/workflows/test.yml)
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This authorization proxy service is for consuming the VRChat API in a multi-application / microservice architecture. Configure the proxy with the credentials for accounts you use to make API calls and direct your API clients to the proxy service instead of the VRChat API. The proxy server will handle the authorization call flow and caching of the authorization tokens for subsequent authorized calls.
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## Build Steps
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timeout: 10s
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```
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## Testing
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This section provides instructions on how to run the unit and integration tests for the VRCAuthProxy project.
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### Running Tests Locally
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To run the tests locally, ensure you have the .NET SDK installed. You can execute the tests using the following command:
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```bash
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dotnet test
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```
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For code coverage reports, you can use:
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```bash
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dotnet test /p:CollectCoverage=true /p:CoverletOutputFormat=lcov /p:CoverletOutput=./lcov.info
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```
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### Running Tests in a Docker Container
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To run the tests in a Docker container, follow these steps:
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1. **Build the Docker Image**: Ensure you have the Dockerfile set up correctly in your project root. Build the Docker image using the following command:
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```bash
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docker build -t vrcauthproxy-test -f Dockerfile.test .
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```
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2. **Run the Tests**: Execute the tests inside the Docker container with the following command:
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```bash
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docker run --rm vrcauthproxy-test dotnet test
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```
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This command will run the tests in the container and output the results to your terminal.
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### Creating a Dockerfile.test
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You can create a dedicated Dockerfile for testing:
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```dockerfile
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FROM mcr.microsoft.com/dotnet/sdk:9.0 AS build
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WORKDIR /app
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# Copy csproj and restore dependencies
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COPY *.sln ./
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COPY VRCAuthProxy/*.csproj ./VRCAuthProxy/
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COPY Tests/*.csproj ./Tests/
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RUN dotnet restore
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# Copy the remaining files
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COPY . ./
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# Run tests
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ENTRYPOINT ["dotnet", "test", "--logger:console"]
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```
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### Continuous Integration
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The test suite is designed to be run in CI/CD pipelines. Include the following in your GitHub workflow:
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```yaml
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- name: Test
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run: dotnet test --no-restore --verbosity normal /p:CollectCoverage=true /p:CoverletOutputFormat=lcov /p:CoverletOutput=./lcov.info
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```
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## LICENSE
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MPL-2.0 with Addendum
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