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rendercv/Dockerfile
2025-12-10 18:34:57 +03:00

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1.6 KiB
Docker

# Use a Python image with uv pre-installed
FROM ghcr.io/astral-sh/uv:python3.12-bookworm-slim AS builder
# 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
# This layer is cached separately from the project code for faster rebuilds
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-editable --extra full --no-default-groups
# Then, add the rest of the project source code and install it
# Installing separately from its dependencies allows optimal layer caching
COPY . /app
RUN --mount=type=cache,target=/root/.cache/uv \
uv sync --frozen --no-editable --extra full --no-default-groups
# Final stage
FROM python:3.12-slim-bookworm
# Setup a non-root user
RUN groupadd --system --gid 999 rendercv \
&& useradd --system --gid 999 --uid 999 --create-home rendercv
# Set working directory
WORKDIR /app
# Copy the virtual environment from the builder stage
COPY --from=builder --chown=rendercv:rendercv /app/.venv /app/.venv
# Place executables in the environment at the front of the path
ENV PATH="/app/.venv/bin:$PATH"
# Use the non-root user to run our application
USER rendercv
# Set the entrypoint to the rendercv CLI (installed via pyproject.toml entry point)
ENTRYPOINT ["rendercv"]
# Default command shows help
CMD ["--help"]