Dockerfile

# Multi-stage build for AI Newsletter Generator
# Optimized for Hugging Face Spaces deployment

# Stage 1: Build frontend
FROM node:20-slim as frontend-builder

# Install pnpm
RUN npm install -g pnpm

# Set working directory
WORKDIR /app/frontend

# Copy frontend package files
COPY frontend/package.json frontend/pnpm-lock.yaml ./

# Install frontend dependencies
RUN pnpm install --frozen-lockfile

# Copy frontend source
COPY frontend/ .

# Build frontend for production
RUN pnpm build

# Stage 2: Python backend with built frontend
FROM python:3.12-slim

# Set environment variables
ENV PYTHONUNBUFFERED=1
ENV PYTHONDONTWRITEBYTECODE=1
ENV PORT=7860

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

# Install uv for fast Python package management
RUN pip install uv

# Set working directory
WORKDIR /app

# Copy Python configuration
COPY pyproject.toml uv.lock ./

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

# Copy backend source
COPY backend/ ./backend/

# Copy built frontend from previous stage
COPY --from=frontend-builder /app/frontend/dist ./frontend/dist

# Create non-root user for security
RUN useradd --create-home --shell /bin/bash app
RUN chown -R app:app /app
USER app

# Expose port (Hugging Face Spaces uses 7860)
EXPOSE 7860

# Health check
HEALTHCHECK --interval=30s --timeout=30s --start-period=5s --retries=3 \
    CMD curl -f http://localhost:7860/api/health || exit 1

# Start command for Hugging Face Spaces
CMD ["uv", "run", "uvicorn", "backend.main:app", "--host", "0.0.0.0", "--port", "7860"]