Dockerfile.gpu

FROM nvidia/cuda:11.8-devel-ubuntu20.04

# Prevent interactive prompts during package installation
ENV DEBIAN_FRONTEND=noninteractive

# Install Python and system dependencies
RUN apt-get update && apt-get install -y \
    python3.10 \
    python3.10-dev \
    python3-pip \
    libgl1-mesa-glx \
    libglib2.0-0 \
    libsm6 \
    libxext6 \
    libxrender-dev \
    libgomp1 \
    wget \
    git \
    curl \
    && rm -rf /var/lib/apt/lists/*

# Create symlinks for python
RUN ln -s /usr/bin/python3.10 /usr/bin/python

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

WORKDIR /app

# Copy requirements and install Python dependencies
COPY requirements.txt .

# Install PyTorch with CUDA support first
RUN pip install --no-cache-dir torch torchvision --index-url https://download.pytorch.org/whl/cu118

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

# Copy application code
COPY . .

# Create FAISS indices directory and set permissions
RUN mkdir -p faiss_indices && \
    chown -R appuser:appuser /app

# Pre-download models (optional - will fallback to runtime download if fails)
RUN python download_all_models.py || echo "Model download failed - will download on first run"

# Switch to non-root user
USER appuser

# Expose port
EXPOSE 8000

# Health check
HEALTHCHECK --interval=30s --timeout=10s --start-period=60s --retries=3 \
    CMD curl -f http://localhost:8000/health || exit 1

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