Dockerfile.ci

# CPU-only CI/CD Dockerfile
# Uses SBT base image with Java pre-installed, adds Python and JAX CPU
# ~2-3 GB total size vs ~8 GB for GPU image

FROM sbtscala/scala-sbt:eclipse-temurin-jammy-17.0.9_9_1.9.7_3.3.1

ENV DEBIAN_FRONTEND=noninteractive
WORKDIR /workspace

# Install Python and curl
RUN apt-get update && apt-get install -y \
    python3.11 \
    python3.11-dev \
    libpython3.11 \
    python3-pip \
    curl \
    && rm -rf /var/lib/apt/lists/* && \
    ln -sf /usr/bin/python3.11 /usr/bin/python

# Install uv
RUN curl -LsSf https://astral.sh/uv/install.sh | sh
ENV PATH="/root/.local/bin:${PATH}"

# Copy only build files first for dependency caching
COPY build.sbt /workspace/
COPY project/ /workspace/project/

# Set up Python venv with CPU JAX (pyproject.toml specifies cuda12; override here)
RUN uv venv .venv --python python3.11 && \
    uv pip install --python .venv/bin/python "jax[cpu]>=0.4" "einops>=0.8"

# Skip uv sync at runtime and point directly at the venv Python
# This also prevents uv from being called at sbt load time
ENV DIMWIT_SKIP_SYNC=true
ENV DIMWIT_PYTHON_PATH=/workspace/.venv/bin/python

# Pre-download SBT dependencies
RUN sbt update || true

# Copy project files
COPY . /workspace/

# Set Python path
ENV PYTHONPATH=/workspace/src/python

CMD ["sbt", "compile"]