Dockerfile.video

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

# Prevent interactive prompts during build
ENV DEBIAN_FRONTEND=noninteractive

# Install system dependencies
RUN apt-get update && apt-get install -y \
    python3.10 \
    python3-pip \
    ffmpeg \
    libsm6 \
    libxext6 \
    libxrender-dev \
    && rm -rf /var/lib/apt/lists/*

# Set working directory
WORKDIR /app

# Copy requirements first to leverage Docker cache
COPY requirements.txt .
RUN pip3 install --no-cache-dir -r requirements.txt

# Install additional video processing dependencies
RUN pip3 install --no-cache-dir \
    opencv-python-headless \
    ffmpeg-python \
    moviepy

# Copy application code
COPY utils/video_processor.py utils/
COPY core/content/ core/content/

# Create directories for data
RUN mkdir -p /data/lectures/processed

# Set environment variables
ENV PYTHONPATH=/app
ENV NVIDIA_VISIBLE_DEVICES=all
ENV NVIDIA_DRIVER_CAPABILITIES=compute,video,utility

# Run video processor
ENTRYPOINT ["python3", "-m", "utils.video_processor"]