# 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
# Set the working directory
WORKDIR /app
# Enable bytecode compilation
ENV UV_COMPILE_BYTECODE=1
# Copy the project files
COPY . /app
# Install the project dependencies using uv
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
RUN --mount=type=cache,target=/root/.cache/uv \
uv sync --frozen --no-dev --no-editable
# Use the Python base image
FROM python:3.12-slim-bookworm
# Set the working directory
WORKDIR /app
# Copy the installed dependencies from the uv stage
COPY --from=uv /root/.local /root/.local
COPY --from=uv --chown=app:app /app/.venv /app/.venv
# Add the project files
COPY --from=uv /app /app
# Place executables in the environment at the front of the path
ENV PATH="/app/.venv/bin:$PATH"
# Set the entrypoint command
ENTRYPOINT ["python", "-m", "src.server", "--weaviate-url", "http://localhost:8080/v1/graphql", "--weaviate-api-key", "", "--search-collection-name", "Reader", "--store-collection-name", "Reader", "--openai-api-key", ""]