# Generated by https://smithery.ai. See: https://smithery.ai/docs/config#dockerfile
# Use a Python image with uv pre-installed
FROM ghcr.io/astral-sh/uv:python3.12-bookworm-slim AS uv
# Install the project into /app
WORKDIR /app
# Enable bytecode compilation
ENV UV_COMPILE_BYTECODE=1
# Copy from the cache instead of linking since it's a mounted volume
ENV UV_LINK_MODE=copy
# Copy the project files first so we have access to the lockfile
COPY pyproject.toml uv.lock ./
# Install the project's dependencies using the lockfile and settings
RUN --mount=type=cache,target=/root/.cache/uv \
uv sync --frozen --no-install-project --no-dev --no-editable
# Then, add the rest of the project source code and install it
# Installing separately from its dependencies allows optimal layer caching
ADD . /app
RUN --mount=type=cache,target=/root/.cache/uv \
uv sync --frozen --no-dev --no-editable
FROM python:3.12-slim-bookworm
WORKDIR /app
# Copy the virtual environment from the build stage
COPY --from=uv /app/.venv /app/.venv
# Copy the uv executable from the build stage
COPY --from=uv /usr/local/bin/uv /usr/local/bin/uv
# Create logs directory
RUN mkdir -p logs
# Place executables in the environment at the front of the path
ENV PATH="/app/.venv/bin:$PATH"
# when running the container, add --output-type and a bind mount to the host's db file
ENTRYPOINT ["uv", "run", "mcp_server_vegalite"]