26 lines
1.4 KiB
Markdown
26 lines
1.4 KiB
Markdown
# Advisory AI CI Runner Harness (DEVOPS-AIAI-31-001)
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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.
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Usage
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- From repo root run: `ops/devops/advisoryai-ci-runner/run-advisoryai-ci.sh`
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- Outputs land in `ops/devops/artifacts/advisoryai-ci/<UTC timestamp>/`:
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- `build.binlog` (solution build)
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- `tests/advisoryai.trx` (VSTest results)
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- `summary.json` (paths + hashes + durations)
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Environment
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- Defaults: `DOTNET_CLI_TELEMETRY_OPTOUT=1`, `DOTNET_SKIP_FIRST_TIME_EXPERIENCE=1`, `NUGET_PACKAGES=$REPO/.nuget/packages`.
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- Sources default to `local-nugets` then the warmed cache; override via `NUGET_SOURCES` (semicolon-separated).
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- No external services required; tests are isolated/local.
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What it does
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1) Warm NuGet cache from `local-nugets/` into `$NUGET_PACKAGES` for air-gap parity.
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2) `dotnet restore` + `dotnet build` on `src/AdvisoryAI/StellaOps.AdvisoryAI.sln` with `/bl`.
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3) Run the AdvisoryAI test project (`__Tests/StellaOps.AdvisoryAI.Tests`) with TRX output; optional `TEST_FILTER` env narrows scope.
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4) Emit `summary.json` with artefact paths and SHA256s for reproducibility.
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Notes
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- Timestamped output folders keep ordering deterministic; consumers should sort lexicographically.
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- Use `TEST_FILTER="Name~Inference"` to target inference/monitoring-specific tests when iterating.
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