mirror of
https://github.com/zvx-echo6/meshai.git
synced 2026-05-21 23:24:44 +02:00
K7ZVX
3ec09ad158
- FastAPI runs in MeshAI asyncio loop (no separate process) - REST API: /api/status, /api/health, /api/nodes, /api/edges, /api/regions, /api/sources, /api/config, /api/alerts - WebSocket at /ws/live pushes health updates and alerts - Config CRUD: GET/PUT per section with validation and save - DashboardConfig with port/host in config.yaml
88 lines
2.6 KiB
Docker
88 lines
2.6 KiB
Docker
# MeshAI Dockerfile
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# LLM-powered Meshtastic assistant
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#
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# Build: docker build -t meshai .
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# Run: docker run -d --name meshai \
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# --device=/dev/ttyUSB0 \
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# -p 7681:7681 \
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# -v meshai_data:/data \
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# meshai
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FROM python:3.11-slim-bookworm
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LABEL maintainer="K7ZVX <matt@echo6.co>"
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LABEL description="MeshAI - LLM-powered Meshtastic assistant"
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LABEL version="0.1.0"
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LABEL org.opencontainers.image.source=https://github.com/zvx-echo6/meshai
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LABEL org.opencontainers.image.description="MeshAI - LLM-powered Meshtastic assistant"
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LABEL org.opencontainers.image.licenses=MIT
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# Build arguments
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ARG UID=1000
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ARG GID=1000
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# Environment variables
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ENV PYTHONDONTWRITEBYTECODE=1 \
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PYTHONUNBUFFERED=1 \
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PIP_NO_CACHE_DIR=1 \
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PIP_DISABLE_PIP_VERSION_CHECK=1
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# Install system dependencies
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RUN apt-get update && apt-get install -y --no-install-recommends \
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gcc \
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libc6-dev \
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# For serial communication
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udev \
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# For health checks
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curl \
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# For process management
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procps \
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&& rm -rf /var/lib/apt/lists/* \
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# Install ttyd for web-based config interface (arch-aware)
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&& TTYD_ARCH=$(dpkg --print-architecture | sed 's/amd64/x86_64/' | sed 's/arm64/aarch64/') \
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&& curl -sL "https://github.com/tsl0922/ttyd/releases/download/1.7.7/ttyd.${TTYD_ARCH}" -o /usr/local/bin/ttyd \
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&& chmod +x /usr/local/bin/ttyd
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# Create non-root user
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RUN groupadd -g ${GID} meshai && \
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useradd -u ${UID} -g ${GID} -m -s /bin/bash meshai && \
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# Add to dialout group for serial access
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usermod -aG dialout meshai
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# Create directories
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RUN mkdir -p /app /data && \
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chown -R meshai:meshai /app /data
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WORKDIR /app
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# Copy requirements first for layer caching
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COPY requirements.txt .
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RUN pip install --no-cache-dir -r requirements.txt
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# Pre-download embedding model for hybrid search
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RUN python3 -c "from fastembed import TextEmbedding; TextEmbedding('BAAI/bge-small-en-v1.5')"
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# Copy application code
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COPY --chown=meshai:meshai meshai/ ./meshai/
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COPY --chown=meshai:meshai pyproject.toml .
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COPY --chown=meshai:meshai README.md .
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COPY --chown=meshai:meshai config.example.yaml .
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COPY --chown=meshai:meshai docker-entrypoint.sh .
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# Install the package
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RUN pip install --no-cache-dir -e .
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# Switch to non-root user
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USER meshai
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# Data volume mount point
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VOLUME ["/data"]
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# Expose ttyd web config port
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EXPOSE 7682 8080
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# Health check - verify bot process is alive via PID file
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HEALTHCHECK --interval=30s --timeout=10s --start-period=10s --retries=3 \
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CMD test -f /tmp/meshai.pid && kill -0 $(cat /tmp/meshai.pid) 2>/dev/null || exit 1
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# Entrypoint handles config and ttyd
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ENTRYPOINT ["/app/docker-entrypoint.sh"]
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