Dockerfile.backend

# Stage 1: Build dependencies
FROM python:3.14-slim AS builder

COPY --from=ghcr.io/astral-sh/uv:latest /uv /usr/local/bin/uv

WORKDIR /app
COPY pyproject.toml uv.lock ./

# Install all production deps from lockfile
RUN uv sync --frozen --no-dev --no-editable

# Replace PyTorch with CPU-only build to avoid CUDA wheels (~2.5GB) on x86_64
RUN uv pip install --python /app/.venv/bin/python \
    torch --index-url https://download.pytorch.org/whl/cpu

# Replace opencv-python with headless variant (no X11/GUI libs needed in container)
RUN uv pip install --python /app/.venv/bin/python opencv-python-headless

# Stage 2: Runtime
FROM python:3.14-slim AS runner

RUN apt-get update \
    && apt-get install -y --no-install-recommends curl \
    && rm -rf /var/lib/apt/lists/*

WORKDIR /app
COPY --from=builder /app/.venv /app/.venv
COPY app/ ./app/
COPY plugins/ ./plugins/

ENV PATH="/app/.venv/bin:$PATH"
ENV DATAVISOR_HOST=0.0.0.0
ENV DATAVISOR_PORT=8000

EXPOSE 8000
CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "8000"]