File size: 3,806 Bytes
979853c ddda149 e6de9e2 979853c e6de9e2 979853c ddda149 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 | # syntax=docker/dockerfile:1
# Frontend build stage
# Build frontend assets on the native build platform to avoid
# cross-architecture emulation issues during multi-platform builds.
FROM --platform=$BUILDPLATFORM oven/bun:1 AS frontend-builder
WORKDIR /app
# Copy frontend source code
COPY lightrag_webui/ ./lightrag_webui/
# Build frontend assets for inclusion in the API package
RUN --mount=type=cache,target=/root/.bun/install/cache \
cd lightrag_webui \
&& bun install --frozen-lockfile \
&& bun run build
# Python build stage - using uv for faster package installation
FROM ghcr.io/astral-sh/uv:python3.12-bookworm-slim AS builder
ENV DEBIAN_FRONTEND=noninteractive
ENV UV_SYSTEM_PYTHON=1
ENV UV_COMPILE_BYTECODE=1
WORKDIR /app
# Install system deps (Rust is required by some wheels)
RUN apt-get update \
&& apt-get install -y --no-install-recommends \
curl \
build-essential \
pkg-config \
&& rm -rf /var/lib/apt/lists/* \
&& curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh -s -- -y
ENV PATH="/root/.cargo/bin:/root/.local/bin:${PATH}"
# Ensure shared data directory exists for uv caches
RUN mkdir -p /root/.local/share/uv
# Copy project metadata and sources
COPY pyproject.toml .
COPY setup.py .
COPY uv.lock .
# Install base, API, and offline extras without the project to improve caching
RUN --mount=type=cache,target=/root/.local/share/uv \
uv sync --frozen --no-dev --extra api --extra offline --no-install-project --no-editable
# Copy project sources after dependency layer
COPY lightrag/ ./lightrag/
# Include pre-built frontend assets from the previous stage
COPY --from=frontend-builder /app/lightrag/api/webui ./lightrag/api/webui
# Sync project in non-editable mode and ensure pip is available for runtime installs
RUN --mount=type=cache,target=/root/.local/share/uv \
uv sync --frozen --no-dev --extra api --extra offline --no-editable \
&& /app/.venv/bin/python -m ensurepip --upgrade
# Prepare offline cache directory and pre-populate tiktoken data
# Use uv run to execute commands from the virtual environment
RUN mkdir -p /app/data/tiktoken \
&& uv run lightrag-download-cache --cache-dir /app/data/tiktoken || status=$?; \
if [ -n "${status:-}" ] && [ "$status" -ne 0 ] && [ "$status" -ne 2 ]; then exit "$status"; fi
# Final stage
FROM python:3.12-slim
WORKDIR /app
# Install uv for package management
COPY --from=ghcr.io/astral-sh/uv:latest /uv /usr/local/bin/uv
ENV UV_SYSTEM_PYTHON=1
# Copy installed packages and application code
COPY --from=builder /root/.local /root/.local
COPY --from=builder /app/.venv /app/.venv
COPY --from=builder /app/lightrag ./lightrag
COPY pyproject.toml .
COPY setup.py .
COPY uv.lock .
COPY .env.huggingface /app/.env.huggingface
COPY legal-knowledge.json /app/legal-knowledge.json
# Ensure the installed scripts are on PATH
ENV PATH=/app/.venv/bin:/root/.local/bin:$PATH
# Install dependencies with uv sync (uses locked versions from uv.lock)
# And ensure pip is available for runtime installs
RUN --mount=type=cache,target=/root/.local/share/uv \
uv sync --frozen --no-dev --extra api --extra offline --no-editable \
&& /app/.venv/bin/python -m ensurepip --upgrade
# Create persistent data directories AFTER package installation
RUN mkdir -p /app/data/rag_storage /app/data/inputs /app/data/tiktoken
# Copy offline cache into the newly created directory
COPY --from=builder /app/data/tiktoken /app/data/tiktoken
# Point to the prepared cache
ENV TIKTOKEN_CACHE_DIR=/app/data/tiktoken
ENV WORKING_DIR=/app/data/rag_storage
ENV INPUT_DIR=/app/data/inputs
ENV LIGHTWEIGHT_LEGAL_RAG=true
ENV LEGAL_RAG_INDEX=/app/legal-knowledge.json
# Expose API port
EXPOSE 9621
ENTRYPOINT ["python", "-m", "lightrag.api.huggingface_entrypoint"]
|