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feat: Add Scanner CI runner and related artifacts 
- Implemented `run-scanner-ci.sh` to build and run tests for the Scanner solution with a warmed NuGet cache.
- Created `excititor-vex-traces.json` dashboard for monitoring Excititor VEX observations.
- Added Docker Compose configuration for the OTLP span sink in `docker-compose.spansink.yml`.
- Configured OpenTelemetry collector in `otel-spansink.yaml` to receive and process traces.
- Developed `run-spansink.sh` script to run the OTLP span sink for Excititor traces.
- Introduced `FileSystemRiskBundleObjectStore` for storing risk bundle artifacts in the filesystem.
- Built `RiskBundleBuilder` for creating risk bundles with associated metadata and providers.
- Established `RiskBundleJob` to execute the risk bundle creation and storage process.
- Defined models for risk bundle inputs, entries, and manifests in `RiskBundleModels.cs`.
- Implemented signing functionality for risk bundle manifests with `HmacRiskBundleManifestSigner`.
- Created unit tests for `RiskBundleBuilder`, `RiskBundleJob`, and signing functionality to ensure correctness.
- Added filesystem artifact reader tests to validate manifest parsing and artifact listing.
- Included test manifests for egress scenarios in the task runner tests.
- Developed timeline query service tests to verify tenant and event ID handling.
2025-11-30 19:12:35 +02:00
..
.gitkeep
feat: Add Scanner CI runner and related artifacts
2025-11-30 19:12:35 +02:00
README.md
feat: Add Scanner CI runner and related artifacts
2025-11-30 19:12:35 +02:00
run-advisoryai-ci.sh
feat: Add Scanner CI runner and related artifacts
2025-11-30 19:12:35 +02:00

README.md

Advisory AI CI Runner Harness (DEVOPS-AIAI-31-001)

Purpose: deterministic, offline-friendly CI harness for Advisory AI service/worker. Produces warmed-cache restore, build binlog, and TRX outputs for the core test suite so downstream sprints can validate without bespoke pipelines.

Usage

  • From repo root run: ops/devops/advisoryai-ci-runner/run-advisoryai-ci.sh
  • Outputs land in ops/devops/artifacts/advisoryai-ci/<UTC timestamp>/:
    • build.binlog (solution build)
    • tests/advisoryai.trx (VSTest results)
    • summary.json (paths + hashes + durations)

Environment

  • Defaults: DOTNET_CLI_TELEMETRY_OPTOUT=1, DOTNET_SKIP_FIRST_TIME_EXPERIENCE=1, NUGET_PACKAGES=$REPO/.nuget/packages.
  • Sources default to local-nugets then the warmed cache; override via NUGET_SOURCES (semicolon-separated).
  • No external services required; tests are isolated/local.

What it does

  1. Warm NuGet cache from local-nugets/ into $NUGET_PACKAGES for air-gap parity.
  2. dotnet restore + dotnet build on src/AdvisoryAI/StellaOps.AdvisoryAI.sln with /bl.
  3. Run the AdvisoryAI test project (__Tests/StellaOps.AdvisoryAI.Tests) with TRX output; optional TEST_FILTER env narrows scope.
  4. Emit summary.json with artefact paths and SHA256s for reproducibility.

Notes

  • Timestamped output folders keep ordering deterministic; consumers should sort lexicographically.
  • Use TEST_FILTER="Name~Inference" to target inference/monitoring-specific tests when iterating.