Set up E2E testing infrastructure aligned with durabletask-python

[Copilot]

This pull request introduces significant improvements to the Azure Managed gRPC client and worker for Durable Task, focusing on how metadata (such as authentication tokens and task hub information) is handled for both secure and insecure connections. It also enhances CI workflows and developer tooling. The most important changes are grouped below.

gRPC Metadata Handling Improvements

• Refactored the createMetadataGenerator and createChannelCredentials methods in both DurableTaskAzureManagedClientOptions and DurableTaskAzureManagedWorkerOptions to provide a unified, promise-based metadata generator for per-call metadata. This ensures that metadata (including auth tokens and headers) is consistently and securely attached to each gRPC call, regardless of connection security. Metadata is now passed per-call for insecure connections and via channel credentials for secure connections. [1] [2] [3] [4] [5]
• Updated DurableTaskAzureManagedClientBuilder and DurableTaskAzureManagedWorkerBuilder to inject the new metadata generator into the core gRPC client/worker, ensuring correct metadata handling. [1] [2] [3] [4]
• Enhanced TaskHubGrpcClient to accept an optional metadataGenerator parameter, allowing metadata to be dynamically generated for each call. [1] [2] [3]

Testing and CI Enhancements

• Added a new GitHub Actions workflow (dts-e2e-tests.yaml) to run end-to-end tests against the Durable Task Scheduler (DTS) emulator, increasing test coverage for Azure-managed scenarios.
• Refactored the main PR validation workflow to split lint/unit tests and E2E tests, and to run E2E tests across multiple Node.js versions using the Go-based sidecar. [1] [2]
• Added new NPM scripts for Azure-managed E2E testing, and updated ignore patterns to avoid linting auto-generated version files. [1] [2]

Developer Tooling and Compatibility

• Updated TypeScript build configuration to ensure correct module resolution for internal dependencies.
• Updated unit tests to use the new async metadata generator API, improving reliability and clarity of test cases. [1] [2] [3]

[Copilot]

Pull request overview

This PR sets up E2E testing infrastructure for durabletask-js aligned with the durabletask-python approach, using durabletask-go sidecar for standard tests and DTS emulator for Azure-managed tests.

Changes:

• Split CI workflow into separate lint/unit and E2E test jobs with Node.js 18.x, 20.x, 22.x matrix
• Replaced Docker-based sidecar with durabletask-go binary in standard E2E tests (matching Python SDK approach)
• Added new Azure-managed E2E test suite using DTS emulator container
• Created supporting scripts and npm commands for local testing

Reviewed changes

Copilot reviewed 7 out of 7 changed files in this pull request and generated 3 comments.

Show a summary per file

File	Description
test/e2e/orchestration.spec.ts	Added documentation comments explaining the durabletask-go sidecar requirement and setup
test/e2e-azuremanaged/orchestration.spec.ts	New Azure-managed test suite with 9 tests using DTS emulator (port 8080)
scripts/test-e2e.sh	Updated comments to document alignment with Python SDK testing approach
scripts/test-e2e-azuremanaged.sh	New script to run Azure-managed E2E tests locally with DTS emulator
package.json	Added npm scripts for Azure-managed E2E tests
.github/workflows/pr-validation.yaml	Refactored into separate jobs with Node.js matrix and durabletask-go sidecar
.github/workflows/dts-e2e-tests.yaml	New workflow for DTS emulator E2E tests with Node.js matrix

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[Copilot]

The container name used in the script is "dts-emulator" (with hyphen), but in the GitHub workflow file .github/workflows/dts-e2e-tests.yaml line 36, it's "dtsemulator" (no hyphen). While this won't cause issues in CI since the workflow doesn't call this script, it creates an inconsistency that could confuse developers and potentially cause issues if someone tries to use both. Standardize the container name across both files.