310491a557
- Updated python_coding_microproject.csv to use NVIDIA NIM Kimi K2 - Updated kali_linux_shell_simulator.csv to use NVIDIA NIM Kimi K2 - Made more general-purpose (flexible targets, expanded tools) - Added nemotron-mini-agent.csv for fast local inference via Ollama - Added nemotron-agent.csv for advanced reasoning via Ollama - Added wiki page: Projects for NVIDIA NIMs and Nemotron
43 lines
1.2 KiB
Docker
43 lines
1.2 KiB
Docker
# Resource Cluster Dockerfile
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FROM python:3.11-slim
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# Build arg for dev dependencies (default: false for production)
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ARG INSTALL_DEV=false
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WORKDIR /app
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# Install system dependencies
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RUN apt-get update && apt-get install -y \
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gcc \
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curl \
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&& rm -rf /var/lib/apt/lists/*
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# Copy requirements (dev requirements may not exist in production builds)
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COPY requirements.txt .
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COPY requirements-dev.tx[t] ./
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# Install Python dependencies
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# Dev dependencies only installed when INSTALL_DEV=true
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RUN pip install --no-cache-dir -r requirements.txt && \
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if [ "$INSTALL_DEV" = "true" ] && [ -f requirements-dev.txt ]; then \
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pip install --no-cache-dir -r requirements-dev.txt; \
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fi
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# Copy application code
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COPY . .
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# Create non-root user and data directory
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RUN useradd -m -u 1000 appuser && \
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mkdir -p /data/resource-cluster && \
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chown -R appuser:appuser /app /data
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USER appuser
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# Expose port
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EXPOSE 8000
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# Health check
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HEALTHCHECK --interval=30s --timeout=3s --start-period=5s --retries=3 \
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CMD curl -f http://localhost:8000/health || exit 1
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# Run the application with multiple workers for production
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CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "8000", "--workers", "4"] |