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- Introduced a comprehensive deployment guide for AdvisoryAI, detailing local builds, remote inference toggles, and scaling guidance. - Created a multi-role Dockerfile for building WebService and Worker images. - Added a docker-compose file for local and offline deployment. - Implemented a Helm chart for Kubernetes deployment with persistence and remote inference options. - Established a new API endpoint `/advisories/summary` for deterministic summaries of observations and linksets. - Introduced a JSON schema for risk profiles and a validator to ensure compliance with the schema. - Added unit tests for the risk profile validator to ensure functionality and error handling.
48 lines
1.7 KiB
Docker
48 lines
1.7 KiB
Docker
# syntax=docker/dockerfile:1.7-labs
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# StellaOps AdvisoryAI – multi-role container build
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# Build arg PROJECT selects WebService or Worker; defaults to WebService.
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# Example builds:
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# docker build -f ops/advisory-ai/Dockerfile -t stellaops-advisoryai-web \
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# --build-arg PROJECT=src/AdvisoryAI/StellaOps.AdvisoryAI.WebService/StellaOps.AdvisoryAI.WebService.csproj \
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# --build-arg APP_DLL=StellaOps.AdvisoryAI.WebService.dll .
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# docker build -f ops/advisory-ai/Dockerfile -t stellaops-advisoryai-worker \
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# --build-arg PROJECT=src/AdvisoryAI/StellaOps.AdvisoryAI.Worker/StellaOps.AdvisoryAI.Worker.csproj \
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# --build-arg APP_DLL=StellaOps.AdvisoryAI.Worker.dll .
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ARG SDK_IMAGE=mcr.microsoft.com/dotnet/nightly/sdk:10.0
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ARG RUNTIME_IMAGE=gcr.io/distroless/dotnet/aspnet:latest
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ARG PROJECT=src/AdvisoryAI/StellaOps.AdvisoryAI.WebService/StellaOps.AdvisoryAI.WebService.csproj
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ARG APP_DLL=StellaOps.AdvisoryAI.WebService.dll
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FROM ${SDK_IMAGE} AS build
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WORKDIR /src
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COPY . .
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# Restore only AdvisoryAI graph to keep build smaller.
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RUN dotnet restore ${PROJECT}
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RUN dotnet publish ${PROJECT} \
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-c Release \
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-o /app/publish \
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/p:UseAppHost=false
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FROM ${RUNTIME_IMAGE} AS runtime
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WORKDIR /app
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ENV ASPNETCORE_URLS=http://0.0.0.0:8080 \
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DOTNET_SYSTEM_GLOBALIZATION_INVARIANT=true \
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ADVISORYAI__STORAGE__PLANCACHEDIRECTORY=/app/data/plans \
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ADVISORYAI__STORAGE__OUTPUTDIRECTORY=/app/data/outputs \
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ADVISORYAI__QUEUE__DIRECTORYPATH=/app/data/queue \
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ADVISORYAI__INFERENCE__MODE=Local
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COPY --from=build /app/publish ./
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# Writable mount for queue/cache/output. Guardrail/guardrails can also be mounted under /app/etc.
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VOLUME ["/app/data", "/app/etc"]
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EXPOSE 8080
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ENTRYPOINT ["dotnet", "${APP_DLL}"]
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