mcp-server-unitycatalog

by ognis1205
Verified
# 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 # Install the project's dependencies using the lockfile and settings 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 \ 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 # Production environment FROM python:3.12-slim-bookworm # Install the project into `/app` WORKDIR /app # Copy installed packages from the uv stage (if any exist in /root/.local) # This is typically where user-installed Python packages go when using pip with --user #COPY --from=uv /root/.loca[l] /root/.local # Copy the virtual environment from the uv stage # This ensures the application runs with the pre-installed dependencies COPY --from=uv --chown=app:app /app/.venv /app/.venv # Place executables in the environment at the front of the path ENV PATH="/app/.venv/bin:$PATH" # when running the container, add --db-path and a bind mount to the host's db file ENTRYPOINT ["mcp-server-unitycatalog"]