# Use Python 3.10 slim image
FROM python:3.10-slim

# Set working directory
WORKDIR /app

# Install system dependencies for OpenCV and image processing
RUN apt-get update && apt-get install -y \
    libglib2.0-0 \
    libsm6 \
    libxext6 \
    libxrender-dev \
    libgomp1 \
    libglib2.0-0 \
    libgtk-3-0 \
    libavcodec-dev \
    libavformat-dev \
    libswscale-dev \
    libv4l-dev \
    libxvidcore-dev \
    libx264-dev \
    libjpeg-dev \
    libpng-dev \
    libtiff-dev \
    libatlas-base-dev \
    python3-dev \
    && rm -rf /var/lib/apt/lists/* \
    && apt-get clean

# Copy requirements first to leverage Docker cache
COPY requirements.txt .

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

# Copy application code
COPY app.py .

# Create directory for temporary files
RUN mkdir -p /tmp/uploads

# Set environment variables
ENV PYTHONUNBUFFERED=1
ENV FLASK_APP=app.py
ENV PORT=7860

# Expose port
EXPOSE 7860

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

# Run the application with gunicorn for production
CMD ["gunicorn", "--bind", "0.0.0.0:7860", "--workers", "2", "--threads", "4", "--timeout", "120", "app:app"]