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Reorder COPY and RUN instructions in both Dockerfile and Dockerfile.server to leverage Docker's layer caching for the dependency installation step. Previously, pyproject.toml, README.md, and src/ were all copied together before running uv pip install, meaning any source code change would invalidate the dependency layer cache and force a full reinstall. The new pattern copies only the dependency manifests (pyproject.toml and uv.lock) first, installs the build tool in a cached layer, then copies README.md and src/ for the actual wheel build. This ensures the uv pip install step is only re-executed when pyproject.toml or uv.lock change, not on every source code change. ISSUES CLOSED: #1667
78 lines
2.8 KiB
Docker
78 lines
2.8 KiB
Docker
# syntax=docker/dockerfile:1
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# CleverAgents Server Dockerfile
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# Multi-stage build for the ASGI server deployment.
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# See k8s/README.md for Kubernetes deployment instructions.
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# ---------------------------------------------------------------------------
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# Stage 1: Build
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# ---------------------------------------------------------------------------
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# NOTE: Base images are pinned by tag (not by digest) for readability and
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# ease of updates. Digest pinning provides stronger reproducibility but
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# complicates routine version bumps. For production supply-chain security,
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# consider switching to digest pinning or using a verified image registry.
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FROM python:3.13-slim AS builder
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# Install build dependencies
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RUN apt-get update && apt-get install -y --no-install-recommends \
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gcc \
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&& rm -rf /var/lib/apt/lists/*
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# Install uv for fast dependency resolution
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COPY --from=ghcr.io/astral-sh/uv:0.8.0 /uv /usr/local/bin/uv
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WORKDIR /app
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# Copy dependency manifests first to leverage Docker layer caching.
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# The expensive dependency installation step is only re-executed when
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# pyproject.toml or uv.lock change, not on every source code change.
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COPY pyproject.toml uv.lock ./
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# Install build tool (separate layer for better caching) — this layer is
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# cached as long as pyproject.toml and uv.lock remain unchanged.
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RUN uv pip install --system build
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# Copy remaining source files needed for the wheel build.
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COPY README.md ./
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COPY src/ ./src/
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# Build wheel
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RUN python -m build --wheel --outdir /dist
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# ---------------------------------------------------------------------------
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# Stage 2: Runtime
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# ---------------------------------------------------------------------------
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FROM python:3.13-slim
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# Create non-root user (uid 1000 per spec)
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RUN useradd -m -u 1000 appuser
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# Install uv temporarily for fast package installation, then remove it
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# to reduce attack surface in the runtime image.
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COPY --from=ghcr.io/astral-sh/uv:0.8.0 /uv /usr/local/bin/uv
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# Install the built wheel (includes uvicorn as a runtime dependency)
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COPY --from=builder /dist/*.whl /tmp/
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RUN uv pip install --system --no-cache /tmp/*.whl && \
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rm -rf /tmp/* && \
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rm /usr/local/bin/uv
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# Create writable directories for runtime data
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RUN mkdir -p /app/data && chown appuser:appuser /app/data
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# Switch to non-root user
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USER appuser
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WORKDIR /app
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# Expose the default server port
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EXPOSE 8000
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# Health check against the /health endpoint
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# Note: Health checking in Kubernetes is handled by liveness/readiness
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# probes configured in the Helm chart (k8s/values.yaml).
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# Run the ASGI server through the project CLI entrypoint.
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# This aligns with the specification's deployment contract:
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# `python -m cleveragents`.
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ENTRYPOINT ["python", "-m", "cleveragents"]
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CMD ["server", "serve", "--app", "cleveragents.a2a.asgi:app", "--host", "0.0.0.0", "--port", "8000"]
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