# Taken reference from the following Dockerfile examples:
# * UV Docker Example - https://github.com/astral-sh/uv-docker-example/blob/main/multistage.Dockerfile
# * SQLite MCP Server Dockerfile - https://github.com/modelcontextprotocol/servers/blob/main/src/sqlite/Dockerfile
FROM ghcr.io/astral-sh/uv:0.7-python3.10-bookworm-slim AS builder
# Enable bytecode compilation
ENV UV_COMPILE_BYTECODE=1 UV_LINK_MODE=copy
# Disable Python downloads, because we want to use the system interpreter
# across both images.
ENV UV_PYTHON_DOWNLOADS=0
WORKDIR /app
RUN --mount=type=cache,target=/root/.cache/uv \
--mount=type=bind,source=uv.lock,target=uv.lock \
--mount=type=bind,source=pyproject.toml,target=pyproject.toml \
--mount=type=bind,source=.python-version,target=.python-version \
uv sync --frozen --no-install-project --no-dev --no-editable
COPY uv.lock /app
COPY pyproject.toml /app
COPY README.md /app
COPY .python-version /app
ADD ./src/mcp_local_rag /app/mcp_local_rag
RUN --mount=type=cache,target=/root/.cache/uv \
uv sync --locked --no-dev
# Then, use a final image without uv
FROM python:3.10-slim-bookworm
WORKDIR /app
# Install system dependencies for OpenCV + MediaPipe
RUN apt-get update && apt-get install -y --no-install-recommends \
libgl1 \
libglib2.0-0 \
&& rm -rf /var/lib/apt/lists/*
# Copy the application from the builder
COPY --from=builder --chown=app:app /app /app
# Place executables in the environment at the front of the path
ENV PATH="/app/.venv/bin:$PATH"
ENV PYTHONPATH=/app
ENTRYPOINT ["mcp-local-rag"]