mirror of
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* 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>
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68 lines
1.3 KiB
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*.gem
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*.rbc
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/.config
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/coverage/
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/InstalledFiles
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/pkg/
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/spec/reports/
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/spec/examples.txt
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/test/tmp/
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/test/version_tmp/
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/tmp/
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# Used by dotenv library to load environment variables.
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.env
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# Ignore Byebug command history file.
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.byebug_history
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## Specific to RubyMotion:
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.dat*
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.repl_history
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build/
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*.bridgesupport
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build-iPhoneOS/
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build-iPhoneSimulator/
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## Specific to RubyMotion (use of CocoaPods):
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#
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# We recommend against adding the Pods directory to your .gitignore. However
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# you should judge for yourself, the pros and cons are mentioned at:
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# https://guides.cocoapods.org/using/using-cocoapods.html#should-i-check-the-pods-directory-into-source-control
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#
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# vendor/Pods/
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## Documentation cache and generated files:
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/.yardoc/
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/_yardoc/
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/doc/
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/rdoc/
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## Environment normalization:
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/.bundle/
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/vendor/bundle
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/lib/bundler/man/
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# for a library or gem, you might want to ignore these files since the code is
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# intended to run in multiple environments; otherwise, check them in:
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Gemfile.lock
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.ruby-version
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.ruby-gemset
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# unless supporting rvm < 1.11.0 or doing something fancy, ignore this:
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.rvmrc
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# Used by RuboCop. Remote config files pulled in from inherit_from directive.
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.rubocop-https?--*
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# Python cache directories
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__pycache__/
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.coverage
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coverage/
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coverage.xml
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htmlcov/
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reports/
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# AI planning and documentation
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ai_docs/
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