Dockerfile.laptop-gpu

# Dockerfile for Laptop GPU deployment with NVIDIA CUDA support
# Build: docker build -f Dockerfile.laptop-gpu -t biometric-api:gpu .
# Run:   docker run --gpus all -p 8001:8001 --env-file .env.laptop biometric-api:gpu

FROM nvidia/cuda:12.2.2-cudnn8-runtime-ubuntu22.04

# Set environment variables
ENV PYTHONDONTWRITEBYTECODE=1 \
    PYTHONUNBUFFERED=1 \
    TF_CPP_MIN_LOG_LEVEL=2 \
    DEEPFACE_HOME=/tmp/.deepface \
    PORT=8001 \
    NVIDIA_VISIBLE_DEVICES=all \
    NVIDIA_DRIVER_CAPABILITIES=compute,utility \
    TF_FORCE_GPU_ALLOW_GROWTH=true

WORKDIR /app

# Install Python 3.11 and system dependencies
RUN apt-get update && apt-get install -y --no-install-recommends \
    software-properties-common \
    && add-apt-repository ppa:deadsnakes/ppa \
    && apt-get update && apt-get install -y --no-install-recommends \
    python3.11 \
    python3.11-venv \
    python3.11-dev \
    python3-pip \
    libglib2.0-0 \
    libsm6 \
    libxext6 \
    libxrender-dev \
    libgomp1 \
    libgl1 \
    curl \
    && rm -rf /var/lib/apt/lists/*

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

# Upgrade pip
RUN python -m pip install --upgrade pip

# Copy requirements
COPY requirements-laptop-gpu.txt .

# Create constraint file
RUN echo "numpy<2.0" > /tmp/constraints.txt && \
    echo "keras<3.0" >> /tmp/constraints.txt

# Install dependencies in order
RUN pip install --no-cache-dir -c /tmp/constraints.txt "numpy>=1.26.0,<2.0"
RUN pip install --no-cache-dir -c /tmp/constraints.txt opencv-python-headless>=4.8.0
RUN pip install --no-cache-dir -c /tmp/constraints.txt tensorflow==2.15.0
RUN pip install --no-cache-dir --no-deps deepface>=0.0.98 && \
    pip install --no-cache-dir -c /tmp/constraints.txt lightphe
RUN pip install --no-cache-dir -c /tmp/constraints.txt -r requirements-laptop-gpu.txt

# Force headless opencv
RUN pip uninstall -y opencv-python opencv-contrib-python 2>/dev/null || true && \
    pip install --no-cache-dir -c /tmp/constraints.txt --force-reinstall opencv-python-headless>=4.8.0

# Verify GPU-enabled TensorFlow
RUN python -c "import tensorflow as tf; print('TensorFlow:', tf.__version__); print('GPU available:', tf.config.list_physical_devices('GPU'))"

# Copy application code
COPY . .

EXPOSE 8001

# Health check
HEALTHCHECK --interval=30s --timeout=10s --start-period=60s --retries=3 \
    CMD curl -f http://localhost:8001/api/v1/health || exit 1

CMD ["python", "-m", "uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "8001"]