Dockerfile

# ─────────────────────────────────────────────────────────────────────────────
# SceneX — AI Analysis Service (CPU-only)
# Use this when no NVIDIA GPU is available.
# ─────────────────────────────────────────────────────────────────────────────
FROM python:3.11-slim

RUN apt-get update && apt-get install -y --no-install-recommends \
        fonts-dejavu-core \
        libglib2.0-0 \
        libgl1 \
        gcc \
        curl \
    && rm -rf /var/lib/apt/lists/*

WORKDIR /app

# Install CPU-only torch first to avoid pulling the full CUDA wheel
RUN pip install --no-cache-dir torch torchvision --index-url https://download.pytorch.org/whl/cpu

COPY requirements.txt ./
# Install remaining deps (torch is already satisfied above)
RUN pip install --no-cache-dir -r requirements.txt

COPY . .

RUN python -c "from ultralytics import YOLO; YOLO('yolov8x.pt')" \
    || echo "Weight download skipped — will download on first run"

# Fix Ultralytics cache directory permissions so non-root user can write to it
RUN mkdir -p /tmp/Ultralytics && chmod 777 /tmp/Ultralytics

RUN useradd -m scenex && chown -R scenex /app
USER scenex

EXPOSE 8000

HEALTHCHECK --interval=60s --timeout=30s --start-period=120s --retries=3 \
  CMD curl -sf http://localhost:8000/docs || exit 1

CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "8000", "--workers", "1"]