# LLM Fusion MCP - Production Docker Image
FROM python:3.12-slim

# Set environment variables
ENV PYTHONUNBUFFERED=1
ENV PYTHONDONTWRITEBYTECODE=1
ENV UV_CACHE_DIR=/tmp/uv-cache

# Install system dependencies
RUN apt-get update && apt-get install -y \
    curl \
    git \
    && rm -rf /var/lib/apt/lists/*

# Install uv
RUN curl -LsSf https://astral.sh/uv/install.sh | sh
ENV PATH="/root/.cargo/bin:$PATH"

# Create app directory
WORKDIR /app

# Copy dependency files
COPY pyproject.toml uv.lock ./

# Install dependencies
RUN uv sync --frozen --no-dev

# Copy application code
COPY src/ ./src/
COPY run_server.sh ./
COPY .env.example ./

# Make run script executable
RUN chmod +x run_server.sh

# Create non-root user for security
RUN useradd -m -u 1000 llmfusion && chown -R llmfusion:llmfusion /app
USER llmfusion

# Health check
HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \
    CMD python -c "import sys; sys.exit(0)"

# Expose port (if running HTTP server in future)
EXPOSE 8000

# Run the server
CMD ["./run_server.sh"]