mirror of
https://github.com/l5yth/potato-mesh.git
synced 2026-07-06 09:52:02 +02:00
812d3c851f
* feat: Add comprehensive Docker support - Add multi-container Docker setup with web app and data ingestor - Create production-ready Dockerfiles with multi-stage builds - Add Docker Compose configurations for dev, prod, and custom environments - Implement CI/CD pipeline with GitHub Actions for automated builds - Add comprehensive Docker documentation and setup guides - Include security scanning and multi-platform builds - Support for Meshtastic device integration via serial access - Persistent data storage with named volumes - Health checks and monitoring capabilities Addresses GitHub issue #120: Dockerize the project for easier community adoption Files added: - web/Dockerfile: Ruby web application container - data/Dockerfile: Python data ingestor container - data/requirements.txt: Python dependencies - docker-compose.yml: Base Docker Compose configuration - docker-compose.dev.yml: Development environment overrides - docker-compose.prod.yml: Production environment overrides - .env.example: Environment configuration template - .dockerignore: Docker build context optimization - .github/workflows/docker.yml: CI/CD pipeline - DOCKER.md: Comprehensive Docker documentation This implementation transforms PotatoMesh from a complex manual setup to a single-command deployment: docker-compose up -d * feat: Add Docker support with multi-architecture builds - Add web/Dockerfile with Ruby 3.4 Alpine base - Add data/Dockerfile with Python 3.13 Alpine base - Use Alpine's SQLite3 packages for cross-platform compatibility - Support AMD64, ARM64, ARMv7, and Windows architectures - Multi-stage builds for optimized production images - Non-root user security and proper file permissions * feat: Add Docker Compose configurations for different environments - docker-compose.yml: Production setup with GHCR images - docker-compose.dev.yml: Development setup with local builds - docker-compose.raspberry-pi.yml: Pi-optimized with resource limits - Support for all architectures (AMD64, ARM64, ARMv7) - Proper volume mounts and network configuration - Environment variable configuration for different deployments * feat: Add GitHub Actions workflows for Docker CI/CD - docker.yml: Multi-architecture build and push to GHCR - test-raspberry-pi-hardware.yml: ARM64 testing with QEMU - Support for manual workflow dispatch with version input - Build and test all Docker variants (AMD64, ARM64, ARMv7, Windows) - Automated publishing to GitHub Container Registry - Comprehensive testing for Raspberry Pi deployments * feat: Add Docker documentation and configuration tools - docs/DOCKER.md: Comprehensive Docker setup and usage guide - configure.sh: Interactive configuration script for deployment - Platform-specific setup instructions (macOS, Linux, Windows) - Raspberry Pi optimization guidelines - Environment variable configuration - Troubleshooting and best practices * docs: Update README with comprehensive Docker support - Add Docker Quick Start section with published images - Add comprehensive table of all available GHCR images - Include architecture-specific pull commands - Update manual installation instructions - Add platform-specific deployment examples - Document all supported architectures and use cases * chore: Update dependencies and project configuration - Update data/requirements.txt for Python 3.13 compatibility - Add v0.3.0 changelog entry documenting Docker support - Update .gitignore for Docker-related files - Prepare project for Docker deployment * feat: Update web interface for Denver Mesh Network - Update default configuration to center on Denver, Colorado - Set SITE_NAME to 'Denver Mesh Network' - Configure 915MHz frequency for US region - Update map center coordinates (39.7392, -104.9903) - Set appropriate node distance and Matrix room settings * Update Docker configuration and documentation - Remove Raspberry Pi specific Docker files and workflows - Update Docker workflow configuration - Consolidate Docker documentation - Add AGENTS.md for opencode integration - Update README with current project status * cleanup: workflow/readme * Update README.md Co-authored-by: l5y <220195275+l5yth@users.noreply.github.com> * Add .env.example and simplify documentation - Add comprehensive .env.example with all environment variables - Update web Dockerfile to use Berlin coordinates instead of Denver - Simplify README Docker quick start with helpful comments - Greatly simplify DOCKER.md with only essential information * cleanup: readme * Remove Stadia API key references - Remove STADIA_API_KEY from docker-compose.yml environment variables - Remove Stadia Maps configuration section from configure.sh - Remove Stadia API key references from .env.example - Simplify configuration to use basic OpenStreetMap tiles only * quickfix * cleanup: remove example usage from docker gh action output --------- Co-authored-by: l5y <220195275+l5yth@users.noreply.github.com>
56 lines
1.3 KiB
Docker
56 lines
1.3 KiB
Docker
# Multi-stage build for PotatoMesh Data Ingestor
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FROM python:3.13-alpine AS builder
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# Install build dependencies
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RUN apk add --no-cache \
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gcc \
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musl-dev \
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linux-headers \
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build-base
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# Set working directory
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WORKDIR /app
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# Copy requirements and install Python dependencies
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COPY data/requirements.txt ./
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RUN pip install --no-cache-dir --user -r requirements.txt
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# Production stage
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FROM python:3.13-alpine AS production
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# Install runtime dependencies
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RUN apk add --no-cache \
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tzdata \
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curl
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# Create non-root user and add to dialout group for serial access
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RUN addgroup -g 1000 -S potatomesh && \
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adduser -u 1000 -S potatomesh -G potatomesh && \
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adduser potatomesh dialout
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# Set working directory
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WORKDIR /app
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# Copy installed Python packages from builder stage
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COPY --from=builder /root/.local /home/potatomesh/.local
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# Copy application code
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COPY --chown=potatomesh:potatomesh data/ .
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# Switch to non-root user
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USER potatomesh
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# Add local Python packages to PATH
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ENV PATH=/home/potatomesh/.local/bin:$PATH
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# Default environment variables (can be overridden by host)
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ENV MESH_SERIAL=/dev/ttyACM0 \
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MESH_SNAPSHOT_SECS=60 \
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MESH_CHANNEL_INDEX=0 \
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DEBUG=0 \
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POTATOMESH_INSTANCE="" \
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API_TOKEN=""
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# Start the mesh daemon
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CMD ["python", "mesh.py"]
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