Dockerfile

# Multi-stage build for ML Certificate Generator Service
FROM python:3.10-slim as builder

# Set working directory
WORKDIR /app

# Install system dependencies required for PIL/Pillow
RUN apt-get update && apt-get install -y \
    gcc \
    g++ \
    make \
    libfreetype6-dev \
    libjpeg-dev \
    libpng-dev \
    zlib1g-dev \
    && rm -rf /var/lib/apt/lists/*

# Copy requirements first for better caching
COPY requirements.txt .

# Install Python dependencies
RUN pip install --no-cache-dir --upgrade pip && \
    pip install --no-cache-dir -r requirements.txt

# Final stage
FROM python:3.10-slim

# Set working directory
WORKDIR /app

# Install runtime dependencies for PIL/Pillow
RUN apt-get update && apt-get install -y \
    libfreetype6 \
    libjpeg62-turbo \
    libpng16-16 \
    curl \
    && rm -rf /var/lib/apt/lists/*

# Copy Python packages from builder
COPY --from=builder /usr/local/lib/python3.10/site-packages /usr/local/lib/python3.10/site-packages
COPY --from=builder /usr/local/bin /usr/local/bin

# Copy application code
COPY . .

# Create necessary directories
RUN mkdir -p uploads fonts

# Set environment variables
ENV PYTHONUNBUFFERED=1
ENV PYTHONDONTWRITEBYTECODE=1
ENV LOG_LEVEL=INFO

# Expose port
EXPOSE 7860

# Health check
HEALTHCHECK --interval=30s --timeout=10s --start-period=15s --retries=3 \
  CMD curl -f http://localhost:7860/health || exit 1

# Run the application with uvicorn
CMD ["uvicorn", "api_main:app", "--host", "0.0.0.0", "--port", "7860", "--log-level", "info"]