# GPU-enabled Dockerfile for NVIDIA CUDA support
FROM nvidia/cuda:12.1.0-cudnn8-runtime-ubuntu22.04

# Set environment variables
ENV PYTHONDONTWRITEBYTECODE=1
ENV PYTHONUNBUFFERED=1
ENV DEBIAN_FRONTEND=noninteractive

# Install Python and system dependencies
RUN apt-get update && apt-get install -y --no-install-recommends \
    python3.11 \
    python3.11-venv \
    python3-pip \
    ffmpeg \
    libsndfile1 \
    && rm -rf /var/lib/apt/lists/*

# Set Python 3.11 as default
RUN update-alternatives --install /usr/bin/python python /usr/bin/python3.11 1 \
    && update-alternatives --install /usr/bin/python3 python3 /usr/bin/python3.11 1

# Create app directory
WORKDIR /app

# Create non-root user
RUN useradd -m -u 1000 appuser

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

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

# Copy application code
COPY . .

# Create data and recordings directories
RUN mkdir -p /app/data /app/recordings && chown -R appuser:appuser /app

# Create directory for Whisper models cache
RUN mkdir -p /home/appuser/.cache/huggingface && chown -R appuser:appuser /home/appuser

# Switch to non-root user
USER appuser

# Expose port
EXPOSE 5000

# Health check
HEALTHCHECK --interval=30s --timeout=10s --start-period=60s --retries=3 \
    CMD python -c "import urllib.request; urllib.request.urlopen('http://localhost:5000/api/health')" || exit 1

# Run the application
CMD ["python", "app.py"]