Dockerfile.render

# Dockerfile.render
# Optimised for Render free tier:
#   - CPU-only PyTorch (saves ~600 MB vs full torch wheel)
#   - No GPU, no Celery, no MLflow

FROM python:3.11-slim

ENV PYTHONUNBUFFERED=1 \
    PYTHONDONTWRITEBYTECODE=1 \
    PIP_NO_CACHE_DIR=1

WORKDIR /app

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

# CPU-only PyTorch — much smaller than the default CUDA wheel (~600 MB saved).
RUN pip install torch==2.3.1+cpu torchvision==0.18.1+cpu \
    --index-url https://download.pytorch.org/whl/cpu

COPY requirements/render.txt requirements/render.txt
RUN pip install --no-cache-dir -r requirements/render.txt

COPY api/       ./api/
COPY model/     ./model/
COPY data/      ./data/
COPY workers/   ./workers/

RUN mkdir -p checkpoints reports/xai monitoring/logs

RUN adduser --disabled-password --gecos "" appuser && \
    chown -R appuser:appuser /app
USER appuser

EXPOSE 10000

HEALTHCHECK --interval=30s --timeout=10s --start-period=30s --retries=3 \
  CMD curl -f http://localhost:10000/health || exit 1

CMD ["uvicorn", "api.main:app", "--host", "0.0.0.0", "--port", "10000"]