# Use NVIDIA CUDA base image for GPU support
FROM nvidia/cuda:11.8.0-cudnn8-runtime-ubuntu22.04

# Set environment variables
ENV DEBIAN_FRONTEND=noninteractive
ENV PYTHONUNBUFFERED=1
ENV TORCH_CUDA_ARCH_LIST="6.0 6.1 7.0 7.5 8.0 8.6+PTX"

# Install system dependencies
RUN apt-get update && apt-get install -y \
    python3 \
    python3-pip \
    python3-dev \
    git \
    wget \
    curl \
    build-essential \
    cmake \
    libgl1-mesa-glx \
    libglib2.0-0 \
    libsm6 \
    libxext6 \
    libxrender-dev \
    libgomp1 \
    libgcc-s1 \
    && rm -rf /var/lib/apt/lists/*

# Create working directory
WORKDIR /app

# Copy requirements first (for better Docker layer caching)
COPY requirements.txt .

# Install Python dependencies
RUN pip3 install --no-cache-dir --upgrade pip setuptools wheel
RUN pip3 install --no-cache-dir -r requirements.txt





# Go back to app directory
WORKDIR /app

# Copy the application code
COPY . .

# Set up DepthAnythingV2
#WORKDIR /app/Depth-Anything-V2
#RUN pip3 install -e .
#WORKDIR /app

# Create directories for models and cache
RUN mkdir -p /app/models /root/.cache

# Download DepthAnythingV2 weights (you can add this step or mount as volume)
# Uncomment the line below if you want to download weights during build
# RUN wget -O depth_anything_v2_metric_vkitti_vitl.pth https://huggingface.co/depth-anything/Depth-Anything-V2-Metric-VKITTI-Small/resolve/main/depth_anything_v2_metric_vkitti_vitl.pth

# Expose the port
EXPOSE 7860

# Set the entry point
CMD ["python3", "enhanced_app.py"]