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worker/Dockerfile

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+# Base image: CUDA 11.8 runtime on Ubuntu 22.04
+FROM nvidia/cuda:11.8.0-runtime-ubuntu22.04
+
+# Avoid interactive prompts during build
+ENV DEBIAN_FRONTEND=noninteractive
+ENV TZ=Etc/UTC
+
+# System dependencies
+RUN apt-get update && apt-get install -y --no-install-recommends \
+    # Python
+    python3.10 \
+    python3.10-dev \
+    python3.10-venv \
+    python3-pip \
+    # FFmpeg
+    ffmpeg \
+    # OpenCV dependencies
+    libgl1-mesa-glx \
+    libglib2.0-0 \
+    libsm6 \
+    libxext6 \
+    libxrender-dev \
+    # Utilities
+    curl \
+    wget \
+    git \
+    ca-certificates \
+    && rm -rf /var/lib/apt/lists/*
+
+# Create non-root user
+RUN groupadd -g 1000 appuser && \
+    useradd -m -u 1000 -g appuser -s /bin/bash appuser
+
+# Set working directory
+WORKDIR /app
+
+# Create necessary directories
+RUN mkdir -p /scratch /models /data/training /data/output /logs
+
+# Copy requirements first for better caching
+COPY worker/requirements.txt /app/requirements.txt
+
+# Create and activate virtual environment
+RUN python3.10 -m venv /opt/venv
+ENV PATH="/opt/venv/bin:$PATH"
+
+# Install Python dependencies
+RUN pip install --no-cache-dir -r requirements.txt
+
+# Copy application code
+COPY src/ /app/src/
+COPY config.yaml /app/config.yaml
+
+# Set environment variables
+ENV PYTHONUNBUFFERED=1
+ENV PATH="/opt/venv/bin:$PATH"
+ENV LD_LIBRARY_PATH=/usr/local/cuda/lib64:$LD_LIBRARY_PATH
+
+# Health check
+HEALTHCHECK --interval=30s --timeout=10s --retries=3 \
+    CMD python3 -c "import torch; assert torch.cuda.is_available()" || exit 1
+
+# Switch to non-root user
+USER appuser
+
+# Default command
+CMD ["python3", "-m", "src.main"]