- Update Makefile to use bun for all commands (install, build, test, lint)
- Update frontend package.json scripts to support bun
- Update documentation references from npm to bun
- Add bun lockfiles for both frontend and backend
- Remove react-leaflet-cluster dependency conflict
- Update migration scripts to use bun instead of node
- Frontend and backend now fully use bun runtime
🤖 Generated with [AI Assistant]
Co-Authored-By: AI Assistant <noreply@ai-assistant.com>
- Remove react-leaflet-cluster package incompatible with React 19
- Update MapView component to use standard react-leaflet markers
- Remove react-leaflet-cluster mock from tests
- Frontend now builds successfully without dependency conflicts
🤖 Generated with [AI Assistant]
Co-Authored-By: AI Assistant <noreply@ai-assistant.com>
- Remove all mongoose dependencies from backend
- Convert Badge and PointTransaction models to CouchDB
- Fix gamificationService for CouchDB architecture
- Update Docker registry URLs to use HTTPS (port 443)
- Fix ingress configuration for HAProxy
- Successfully deploy multi-architecture images
- Application fully running on Kubernetes with CouchDB
🤖 Generated with [AI Assistant]
Co-Authored-By: AI Assistant <noreply@ai-assistant.com>
- Add Docker BuildKit builder setup for AMD64 and ARM64 platforms
- Update backend and frontend Dockerfiles with platform flags
- Create comprehensive build scripts for multi-arch workflows
- Add verification script to test multi-architecture images
- Update Makefile with multi-arch Docker targets
- Add detailed documentation for multi-architecture setup
This enables building Docker images that work on both development machines
(AMD64) and Raspberry Pi cluster (ARM64) with automatic platform selection.
🤖 Generated with [AI Assistant]
Co-Authored-By: AI Assistant <noreply@ai-assistant.com>
Updated all remaining documentation files to reference bun commands instead of npm:
- IMPLEMENTATION_COMPLETE.md
- frontend/README.md
This completes the npm to bun migration for all project documentation.
🤖 Generated with [AI Assistant]
Co-Authored-By: AI Assistant <noreply@ai-assistant.com>
- Replace npm install with bun install
- Replace npm start/test/build with bun equivalents
- Update deployment and testing documentation
- Maintain consistency with project's bun-first approach
🤖 Generated with [AI Assistant]
Co-Authored-By: AI Assistant <noreply@ai-assistant.com>
- Add Bootstrap CSS and custom styles to frontend (index.css, App.css)
- Create comprehensive AGENTS.md with instructions for all AI models
- Include Gemini AI agent usage guidelines and commands
- Add complete project documentation and development workflow
- Ensure proper styling for React components using Bootstrap classes
🤖 Generated with [AI Assistant]
Co-Authored-By: AI Assistant <noreply@ai-assistant.com>
Add production-ready deployment configuration for Raspberry Pi cluster with comprehensive documentation and automation scripts.
Kubernetes Manifests (deploy/k8s/):
- namespace.yaml - Dedicated namespace for the application
- configmap.yaml - Environment configuration (MongoDB URI, ports, URLs)
- secrets.yaml.example - Template for sensitive credentials (JWT, Cloudinary, Stripe)
- mongodb-statefulset.yaml - MongoDB with persistent storage, placed on Pi 5 nodes (ARM64)
- backend-deployment.yaml - Backend with 2 replicas, prefers Pi 5 nodes, health checks
- frontend-deployment.yaml - Frontend with 2 replicas, can run on any node, nginx-based
- ingress.yaml - Traefik/NGINX ingress for API, Socket.IO, and frontend routing
Docker Configuration:
- backend/Dockerfile - Multi-stage build for ARM64/ARMv7 with health checks
- backend/.dockerignore - Excludes tests, coverage, node_modules from build
- frontend/Dockerfile - Multi-stage build with nginx, optimized for ARM
- frontend/.dockerignore - Excludes dev files from production build
- frontend/nginx.conf - Production nginx config with gzip, caching, React Router support
Resource Optimization for Pi Cluster:
- MongoDB: 512Mi-2Gi RAM, 250m-1000m CPU (Pi 5 only, ARM64 affinity)
- Backend: 256Mi-512Mi RAM, 100m-500m CPU (prefers Pi 5, ARM64)
- Frontend: 64Mi-128Mi RAM, 50m-200m CPU (any node, lightweight)
- Total: ~3.5GB RAM minimum, perfect for 2x Pi 5 (8GB) + 1x Pi 3B+ (1GB)
Automation Scripts (deploy/scripts/):
- build.sh - Build multi-arch images (ARM64/ARMv7) and push to registry
- deploy.sh - Deploy all Kubernetes resources with health checks and status reporting
- Both scripts include error handling, color output, and comprehensive logging
Documentation (deploy/README.md):
- Complete deployment guide with prerequisites
- Step-by-step instructions for building and deploying
- Verification commands and troubleshooting guide
- Scaling, updating, and rollback procedures
- Resource monitoring and cleanup instructions
- Security best practices and performance optimization tips
Health Endpoints:
- Backend: GET /api/health (status, uptime, MongoDB connection)
- Frontend: GET /health (nginx health check)
- Used by Kubernetes liveness and readiness probes
Key Features:
- Multi-architecture support (ARM64 for Pi 5, ARMv7 for Pi 3B+)
- NodeAffinity places heavy workloads (MongoDB, backend) on Pi 5 nodes
- Persistent storage for MongoDB (10Gi PVC)
- Horizontal pod autoscaling ready
- Zero-downtime deployments with rolling updates
- Comprehensive health monitoring
- Production-grade nginx with security headers
- Ingress routing for API, WebSocket, and static assets
Security:
- Secrets management with Kubernetes Secrets
- secrets.yaml excluded from Git (.gitignore)
- Minimal container images (alpine-based)
- Health checks prevent unhealthy pods from serving traffic
- Security headers in nginx (X-Frame-Options, X-Content-Type-Options, etc.)
Usage:
1. Build images: ./deploy/scripts/build.sh
2. Configure secrets: cp deploy/k8s/secrets.yaml.example deploy/k8s/secrets.yaml
3. Deploy: ./deploy/scripts/deploy.sh
4. Monitor: kubectl get all -n adopt-a-street
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
Convert frontend from Git submodule to a regular monorepo directory for simplified development workflow.
Changes:
- Remove frontend submodule tracking (mode 160000 gitlink)
- Add all frontend source files directly to main repository
- Remove frontend/.git directory
- Update CLAUDE.md to clarify true monorepo structure
- Update Frontend Architecture documentation (React Router v6, Socket.IO, Leaflet, ErrorBoundary)
Benefits of Monorepo:
- Single git clone for entire project
- Unified commit history
- Simpler CI/CD pipeline
- Easier for new developers
- No submodule sync issues
- Atomic commits across frontend and backend
Frontend Files Added:
- All React components (MapView, ErrorBoundary, TaskList, SocialFeed, etc.)
- Context providers (AuthContext, SocketContext)
- Complete test suite with MSW
- Dependencies and configuration files
Branch Cleanup:
- Using 'main' as default branch (develop deleted)
- Frontend no longer has separate Git history
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
Update project metadata and frontend submodule pointer:
AGENTS.md:
- Document agent deployment and workstreams
- Record specialized agents used (backend-architect, javascript-pro, test-automator)
- Track implementation completion status
Frontend Submodule:
- Update submodule reference to latest commit
- Includes all frontend features: MapView, Socket.IO, ErrorBoundary
- Includes comprehensive error handling across all components
- Includes React Router v6 migration
- Includes complete testing infrastructure with MSW
Changes in Frontend (see frontend submodule commits):
- feat: MapView with Leaflet, Socket.IO integration, ErrorBoundary
- feat: Comprehensive error handling and real-time updates
- test: Complete testing infrastructure with MSW
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
