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# =======================================================================
# AI-TRAFFIC-ADAPTION Docker image for Hugging Face Spaces and AWS ECS
# =======================================================================
FROM python:3.11-slim
# Prevent Python from writing .pyc files and buffer stdout/stderr
ENV PYTHONDONTWRITEBYTECODE=1 \
PYTHONUNBUFFERED=1 \
PORT=7860 \
DEBIAN_FRONTEND=noninteractive
# Install essential system libraries for OpenCV, Video I/O, and PyTorch
RUN apt-get update && apt-get install -y --no-install-recommends \
ffmpeg \
libgl1 \
libglib2.0-0 \
libsm6 \
libxext6 \
libxrender-dev \
curl \
&& rm -rf /var/lib/apt/lists/*
# Run the application as a non-root user
RUN useradd -m -u 1000 user
ENV HOME=/home/user \
PATH=/home/user/.local/bin:$PATH
WORKDIR $HOME/app
# Pre-install CPU PyTorch wheels for fast, lightweight build
RUN pip install --no-cache-dir --upgrade pip && \
pip install --no-cache-dir torch torchvision --index-url https://download.pytorch.org/whl/cpu
# Install application dependencies
COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt
# Copy application source code, pre-built frontend, models, and configurations
COPY --chown=user:user . .
# Ensure directory permissions for runtime uploads and output generation
RUN mkdir -p data/uploads outputs/videos state && \
chown -R user:user $HOME/app
# Switch to non-root user
USER user
# Container port used by Hugging Face Spaces and the AWS ECS Express service
EXPOSE 7860
# Launch the FastAPI dashboard with REST API, WebSockets, and React SPA
CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]