# ==============================================================================
# BETTING-ANALYTICS ML ENGINE - Python FastAPI Dockerfile
# ==============================================================================
# Multi-stage build for ML service with optional GPU support
# ==============================================================================

# Stage 1: Builder
FROM python:3.11-slim AS builder

WORKDIR /app

# Install build dependencies
RUN apt-get update && apt-get install -y --no-install-recommends \
    build-essential \
    && rm -rf /var/lib/apt/lists/*

# Install Python dependencies
COPY requirements.txt .
RUN pip install --no-cache-dir --user -r requirements.txt

# Stage 2: Production
FROM python:3.11-slim AS runner

WORKDIR /app

ENV PYTHONDONTWRITEBYTECODE=1
ENV PYTHONUNBUFFERED=1
ENV PATH="/home/appuser/.local/bin:$PATH"

# Create non-root user
RUN addgroup --system --gid 1001 appgroup
RUN adduser --system --uid 1001 --gid 1001 appuser

# Copy Python packages from builder
COPY --from=builder /root/.local /home/appuser/.local

# Copy application code
COPY --chown=appuser:appgroup . .

USER appuser

EXPOSE 3093

HEALTHCHECK --interval=30s --timeout=10s --start-period=30s --retries=3 \
  CMD python -c "import urllib.request; urllib.request.urlopen('http://localhost:3093/health')" || exit 1

CMD ["uvicorn", "src.main:app", "--host", "0.0.0.0", "--port", "3093"]