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

Warm NuGet cache from local-nugets/ into $NUGET_PACKAGES for air-gap parity.
dotnet restore + dotnet build on src/AdvisoryAI/StellaOps.AdvisoryAI.sln with /bl.
Run the AdvisoryAI test project (__Tests/StellaOps.AdvisoryAI.Tests) with TRX output; optional TEST_FILTER env narrows scope.
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.