Dockerfile.prod

# Use a Python image with uv pre-installed
FROM ghcr.io/astral-sh/uv:python3.12-bookworm-slim

# Install the project into `/app`
WORKDIR /app

ENV PYDEVD_DISABLE_FILE_VALIDATION=1 \
    PYTHONUNBUFFERED=1 \
    PYTHONDONTWRITEBYTECODE=1

# Install system dependencies
RUN apt-get update && \
    apt-get install -y --no-install-recommends \
    g++ \
    curl \
    # Required for scientific and mathematical libraries, such as numpy and pandas
    gfortran \
    libopenblas-dev \
    openssl \
    python3-dev \
    && rm -rf /var/lib/apt/lists/*

# 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
ADD pyproject.toml pyproject.toml
ADD uv.lock uv.lock
RUN uv sync --frozen --no-install-project --no-dev

# Then, add the rest of the project source code and install it
ADD . /app
RUN uv sync --frozen --no-dev

# Place executables in the environment at the front of the path
ENV PATH="/app/.venv/bin:$PATH"

# Reset the entrypoint, don't invoke `uv`
ENTRYPOINT []

# Expose debugging port
EXPOSE 5678

# Expose application port
EXPOSE 8000

# Run the application with hot reloading
CMD ["uvicorn", "src.main:app", "--host", "0.0.0.0", "--port", "8000"]