torch/sentence-transformers only provide manylinux (glibc) wheels, not musl. The musl-compiled tori binary is statically linked and runs fine on glibc systems. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
25 lines
945 B
Docker
25 lines
945 B
Docker
# Stage 1: Build frontend
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FROM node:22-alpine AS frontend
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WORKDIR /app/web
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COPY web/package.json web/package-lock.json ./
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RUN npm ci
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COPY web/ ./
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RUN npm run build
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# Stage 2: Runtime (debian for glibc — torch/sentence-transformers need manylinux wheels)
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FROM debian:bookworm-slim
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RUN apt-get update && apt-get install -y --no-install-recommends ca-certificates curl && rm -rf /var/lib/apt/lists/*
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RUN curl -LsSf https://astral.sh/uv/install.sh | sh
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ENV PATH="/root/.local/bin:$PATH"
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RUN uv venv --python 3.12 /app/venv && uv pip install --python /app/venv/bin/python sentence-transformers
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RUN /app/venv/bin/python -c "from sentence_transformers import SentenceTransformer; SentenceTransformer('all-MiniLM-L6-v2')"
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RUN mkdir -p /app/data/workspaces
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WORKDIR /app
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COPY target/aarch64-unknown-linux-musl/release/tori .
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COPY --from=frontend /app/web/dist ./web/dist/
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COPY scripts/embed.py ./scripts/
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COPY config.yaml .
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EXPOSE 3000
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CMD ["./tori"]
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