mirror of
https://github.com/zvx-echo6/meshai.git
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malice
5de683f7a7Audit confirmed the Rich TUI (`meshai --config`) is a strict subset of the dashboard GUI (covers FEWER sections) and nothing depends on it for bootstrap. Strip it so the dashboard is the single config surface. - delete meshai/cli/configurator.py (~1435 lines); cli/__init__ minimal - main.py: drop --config + run_configurator dispatch (keep --config-file); bootstrap log now points to config.example.yaml / the dashboard - docker-entrypoint.sh: remove the ttyd `meshai --config` block on :7682 (default-config heredoc + bot exec loop untouched) - docker-compose.yml + Dockerfile: drop the 7682 port + ttyd install (EXPOSE 8080) - README / config.py header / config.example.yaml: de-reference the TUI - drop `rich` from pyproject + requirements (grep-verified unused) Close the only GUI config gap the audit found: - Config.tsx weather tab: add openmeteo.url + wttr.url inputs (backend already round-trips the nested WeatherConfig dataclasses) Bootstrap intact: config.example.yaml copy, entrypoint default-config write, and defaulted Config() when no file exists all remain. `python3 -m meshai` and `--config-file` unchanged. TS/import validated at Docker build. Co-authored-by: Matt Johnson <mj@k7zvx.com> Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
95 lines
2.8 KiB
Docker
95 lines
2.8 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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# ── Stage 1: Build frontend ──
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FROM node:20-alpine AS frontend
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WORKDIR /build
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COPY dashboard-frontend/ ./dashboard-frontend/
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WORKDIR /build/dashboard-frontend
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RUN npm ci && npm run build
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# Output lands at /build/meshai/dashboard/static/ (via vite outDir)
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# ── Stage 2: Python runtime ──
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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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# 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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# Overwrite with freshly built frontend assets from stage 1
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COPY --from=frontend --chown=meshai:meshai /build/meshai/dashboard/static/ ./meshai/dashboard/static/
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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 dashboard port
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EXPOSE 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 $(cat /tmp/meshai.pid) 2>/dev/null && [ "$(cat /tmp/meshai.link 2>/dev/null)" = up ] || exit 1
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# Entrypoint writes default config on first run, then starts the bot
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ENTRYPOINT ["/app/docker-entrypoint.sh"]
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