wehub-resource-sync
c3749daf48
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103 lines
4.0 KiB
Docker
103 lines
4.0 KiB
Docker
# syntax=docker/dockerfile:1.7
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# MemPalace — CPU image.
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#
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# Multi-stage build using uv (the project ships a uv.lock, so we install from
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# the frozen lockfile for reproducible images). The default runtime is the MCP
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# server over stdio; the CLI is reachable through the same entrypoint.
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#
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# Build:
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# docker build -t mempalace .
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# docker build -t mempalace --build-arg EXTRAS="extract,spellcheck" .
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#
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# Run (MCP server over stdio, palace persisted on the host):
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# docker run -i --rm -v mempalace-data:/data mempalace
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#
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# Run (CLI):
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# docker run --rm -v mempalace-data:/data mempalace search "why GraphQL"
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#
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# GPU acceleration lives in Dockerfile.gpu (it needs a CUDA base image).
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ARG PYTHON_VERSION=3.12
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# --- builder ----------------------------------------------------------------
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FROM python:${PYTHON_VERSION}-slim AS builder
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# uv: fast, lockfile-driven installer. Pinned by digest-less tag for clarity;
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# bump deliberately.
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COPY --from=ghcr.io/astral-sh/uv:0.5 /uv /uvx /bin/
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# Some transitive deps (grpcio, onnxruntime, tokenizers) ship manylinux wheels
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# for cp312, but keep a compiler around so a missing wheel degrades to a source
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# build instead of failing the image. Dropped from the final stage.
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RUN apt-get update \
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&& apt-get install -y --no-install-recommends build-essential \
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&& rm -rf /var/lib/apt/lists/*
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ENV UV_COMPILE_BYTECODE=1 \
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UV_LINK_MODE=copy \
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UV_PYTHON_DOWNLOADS=never
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WORKDIR /app
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# Optional extras baked into the image. CPU-safe by default; GPU is a separate
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# Dockerfile. Pass a comma-separated list, e.g. EXTRAS="extract,spellcheck".
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ARG EXTRAS="extract,spellcheck"
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# Layer 1: dependencies only (no project) — cached across source changes.
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RUN --mount=type=cache,target=/root/.cache/uv \
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--mount=type=bind,source=pyproject.toml,target=pyproject.toml \
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--mount=type=bind,source=uv.lock,target=uv.lock \
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--mount=type=bind,source=README.md,target=README.md \
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set -e; \
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flags=""; \
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for e in $(echo "${EXTRAS}" | tr ',' ' '); do flags="${flags} --extra ${e}"; done; \
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uv sync --frozen --no-install-project --no-dev ${flags}
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# Layer 2: the project itself. --no-editable installs mempalace into the venv's
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# site-packages (instead of an .pth pointing at /app), so the runtime stage can
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# copy only /app/.venv and drop the source tree.
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COPY . /app
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RUN --mount=type=cache,target=/root/.cache/uv \
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set -e; \
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flags=""; \
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for e in $(echo "${EXTRAS}" | tr ',' ' '); do flags="${flags} --extra ${e}"; done; \
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uv sync --frozen --no-dev --no-editable ${flags}
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# --- runtime ----------------------------------------------------------------
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FROM python:${PYTHON_VERSION}-slim AS runtime
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LABEL org.opencontainers.image.title="MemPalace" \
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org.opencontainers.image.description="Local-first AI memory — verbatim storage, MCP server + CLI." \
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org.opencontainers.image.source="https://github.com/MemPalace/mempalace" \
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org.opencontainers.image.licenses="MIT"
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# /data is the single persistence root: HOME points here, so the palace
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# (~/.mempalace/palace), config (~/.mempalace), and the embedding-model cache
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# all land under one mountable volume. The default `minilm` model caches under
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# ~/.cache/chroma (~80 MB, from ChromaDB's S3); the optional `embeddinggemma`
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# model caches under ~/.cache/huggingface (~300 MB). Both lazy-download on
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# first use.
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ENV HOME=/data \
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PATH="/app/.venv/bin:${PATH}" \
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PYTHONUNBUFFERED=1 \
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PYTHONDONTWRITEBYTECODE=1
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# Non-root user owning the data volume.
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RUN groupadd --gid 1000 mempalace \
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&& useradd --uid 1000 --gid 1000 --home-dir /data --create-home mempalace
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WORKDIR /app
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# The resolved virtualenv from the builder — no build toolchain in this layer.
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COPY --from=builder --chown=mempalace:mempalace /app/.venv /app/.venv
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COPY --chown=mempalace:mempalace docker-entrypoint.sh /usr/local/bin/docker-entrypoint.sh
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RUN chmod +x /usr/local/bin/docker-entrypoint.sh
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USER mempalace
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VOLUME ["/data"]
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# Default to the MCP server; `docker run` it with `-i` for stdio JSON-RPC.
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ENTRYPOINT ["docker-entrypoint.sh"]
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CMD ["mcp"]
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