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git.stella-ops.org/devops/services/advisoryai-ci-runner/README.md

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# 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 `.nuget/packages`; override via `NUGET_SOURCES` (semicolon-separated).
- No external services required; tests are isolated/local.
What it does
1) `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.