Canonical location for documentation, example workflows and reference service implementations covering distributed execution patterns. Covers AC1-AC4: execution-target selection, decision support, readiness checks and code-level linkage. Tightly coupled jobs and the loosely coupled subprocess transport are verified by the test suite; the Kubernetes pipes transport is implemented but not yet cluster-run and is marked as such in the guide. Changelog: added
44 lines
1.1 KiB
Docker
44 lines
1.1 KiB
Docker
FROM python:3.12-slim-bookworm
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COPY --from=ghcr.io/astral-sh/uv:0.10.8 /uv /uvx /bin/
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RUN python -m pip install --no-cache-dir --upgrade "pip==26.1.2"
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WORKDIR /app
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# Explicit UID 1000 matches the runtime UID expected by the Dagster chart
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RUN addgroup --gid 1000 appgroup && \
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adduser --uid 1000 --gid 1000 --disabled-password --gecos "" appuser
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RUN apt-get update && apt-get upgrade -y \
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&& apt-get install -y --no-install-recommends \
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git=1:2.39.5-0+deb12u3 \
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curl=7.88.1-10+deb12u15 \
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&& apt-get clean \
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&& rm -rf /var/lib/apt/lists/* /tmp/* /var/tmp/*
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RUN chown -R appuser:appgroup /app /opt
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COPY pyproject.toml .
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COPY uv.lock .
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COPY src/ ./src/
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COPY payload/ ./payload/
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COPY workspace.yaml .
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ENV UV_COMPILE_BYTECODE=1
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ENV UV_LINK_MODE=copy
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RUN --mount=type=cache,target=/root/.cache/uv \
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uv sync --locked --no-dev
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ENV PATH="/app/.venv/bin:${PATH}"
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ENV PYTHONPATH="/app/src"
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USER appuser
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RUN dagster --version
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EXPOSE 4000
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CMD ["dagster", "code-server", "start", "-h", "0.0.0.0", "-p", "4000", "-f", "src/distributed_execution/repository.py"]
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