mirror of
https://github.com/maziggy/bambuddy.git
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maziggy
70622e6e53
Enable Bambu Studio on a remote network to print through BamBuddy acting as a TLS-terminating proxy for both MQTT and FTP connections. - Add TLSProxy base class and FTPTLSProxy with PASV response rewriting, EPSV→PASV translation, PROT P/C tracking, and one-shot data proxies - Add SlicerProxyManager to coordinate per-slicer MQTT + FTP proxy pairs - Support additional SAN IPs in certificate generation for proxy mode - Broadcast SSDP on LAN B so slicers discover the proxy as a printer - Narrow FTP passive port range to 50000-50100 with retry logic - Expose proxy ports (8883, 9990, 50000-50100) in Dockerfile - Document passive port range in docker-compose.yml
62 lines
1.7 KiB
Docker
62 lines
1.7 KiB
Docker
# Build frontend
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FROM node:22-bookworm-slim AS frontend-builder
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WORKDIR /app/frontend
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# Copy package files first for better caching
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COPY frontend/package*.json ./
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# Use cache mount for npm
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RUN --mount=type=cache,target=/root/.npm \
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npm ci
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COPY frontend/ ./
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RUN npm run build
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# Production image
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FROM python:3.13-slim
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WORKDIR /app
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# Install system dependencies
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ENV DEBIAN_FRONTEND=noninteractive
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RUN apt-get update && apt-get install -y --no-install-recommends \
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curl \
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ffmpeg \
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&& rm -rf /var/lib/apt/lists/*
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# Install Python dependencies with cache mount
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COPY requirements.txt ./
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RUN --mount=type=cache,target=/root/.cache/pip \
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pip install --root-user-action=ignore -r requirements.txt
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# Copy backend
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COPY backend/ ./backend/
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# Copy built frontend from builder stage
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COPY --from=frontend-builder /app/static ./static
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# Create data directory for persistent storage
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# chmod 777 allows running as non-root user (e.g., with docker compose user: directive)
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RUN mkdir -p /app/data /app/logs && chmod 777 /app/data /app/logs
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# Environment variables
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ENV PYTHONUNBUFFERED=1
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ENV DATA_DIR=/app/data
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ENV LOG_DIR=/app/logs
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ENV PORT=8000
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EXPOSE 8000
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EXPOSE 8883
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EXPOSE 9990
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EXPOSE 50000-50100
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# Health check (uses PORT env var via shell)
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HEALTHCHECK --interval=30s --timeout=10s --start-period=10s --retries=3 \
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CMD python -c "import urllib.request, os; urllib.request.urlopen(f'http://localhost:{os.environ.get(\"PORT\", \"8000\")}/health')" || exit 1
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# Run the application
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# Use standard asyncio loop (uvloop has permission issues in some Docker environments)
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# Port is configurable via PORT environment variable (default: 8000)
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CMD ["sh", "-c", "uvicorn backend.app.main:app --host 0.0.0.0 --port ${PORT:-8000} --loop asyncio"]
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