Dockerfile

FROM python:3.11-slim

# Set environment variables
ENV DEBIAN_FRONTEND=noninteractive
ENV PYTHONUNBUFFERED=1
ENV PYTHONDONTWRITEBYTECODE=1

# Install system dependencies
RUN apt-get update && apt-get install -y \
    git \
    wget \
    curl \
    build-essential \
    nodejs \
    npm \
    && rm -rf /var/lib/apt/lists/*

# Set working directory
WORKDIR /app

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

# Install PyTorch with CUDA support first
RUN pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121

# Copy requirements and install Python dependencies
COPY requirements.txt .
RUN pip install -r requirements.txt

# Copy application files
COPY . .

# Create cache directory for HuggingFace models
RUN mkdir -p /app/model_cache
ENV TRANSFORMERS_CACHE=/app/model_cache
ENV HF_HOME=/app/model_cache

# Create non-root user for security
RUN useradd -m -u 1000 appuser && chown -R appuser:appuser /app

# Run type checking with pyright BEFORE switching to non-root user
# This ensures that if there are any type errors, the build fails early
RUN echo "Running pyright type checking..." && \
    pyright --version && \
    pyright . && \
    echo "Type checking passed successfully!"

USER appuser

# Set environment variables for the application
ENV PYTHONPATH=/app
ENV HF_TOKEN=${HF_TOKEN}
ENV API_HOST=0.0.0.0
ENV API_PORT=7860

# Expose port
EXPOSE 7860

# Health check
HEALTHCHECK --interval=30s --timeout=10s --start-period=60s --retries=3 \
    CMD curl -f http://localhost:7860/health || exit 1

# Run the application
CMD ["python", "main.py"]