# LLM Inference API Server
# Multi-stage build for smaller final image

FROM python:3.11.12-slim AS builder

# Install uv
COPY --from=ghcr.io/astral-sh/uv:0.10 /uv /usr/local/bin/uv

WORKDIR /app

# Copy project files (uv.lock not committed; resolved at build time)
COPY pyproject.toml README.md ./
COPY src/ ./src/

# Install dependencies
RUN uv sync --no-dev

# Production image
FROM python:3.11.12-slim

WORKDIR /app

# Copy virtual environment from builder
COPY --from=builder /app/.venv /app/.venv

# Copy source code
COPY src/ ./src/

# Set environment variables
ENV PATH="/app/.venv/bin:$PATH"
ENV PYTHONUNBUFFERED=1
ENV LLM_HOST=0.0.0.0
ENV LLM_PORT=14011

# Health check (using Python since curl not available in slim image)
HEALTHCHECK --interval=30s --timeout=10s --retries=3 \
    CMD python -c "import urllib.request; urllib.request.urlopen('http://localhost:14011/health')" || exit 1

# Expose port
EXPOSE 14011

# Run the server
CMD ["python", "-m", "llm_inference.cli"]