Dockerfile•1.29 kB
# Use Python image with pre-installed uv as base image
FROM ghcr.io/astral-sh/uv:python3.13-alpine
# Set working directory to /app
WORKDIR /app
# Enable bytecode compilation to improve Python code execution performance
ENV UV_COMPILE_BYTECODE=1
# Set link mode to copy instead of link because this is a mounted volume
ENV UV_LINK_MODE=copy
# Install project dependencies using lock file and settings (excluding the project itself)
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 --locked --no-install-project --no-dev
# Then, add the rest of the project source code and install
# Separate dependency installation from project installation for optimal layer caching
COPY . /app
# Install the project (excluding development dependencies)
RUN --mount=type=cache,target=/root/.cache/uv \
uv sync --locked --no-dev
# Put executables from virtual environment at the front of PATH environment variable
ENV PATH="/app/.venv/bin:$PATH"
# Set the port number for the application to run
ENV PORT=8081
# Reset entrypoint to not call uv command
ENTRYPOINT []
# Run the application directly using Python from virtual environment
CMD ["python", "server.py"]