adopt-a-street/AGENTS.md

# Agent Guidelines for Adopt-a-Street

This file provides comprehensive guidance for all AI models (Claude, Gemini, and others) when working with code in this repository.

## Project Overview

Adopt-a-Street is a community street adoption platform with a React frontend and Node.js/Express backend. Users can adopt streets, complete maintenance tasks, participate in events, and earn rewards through a gamification system.

## Development Status

**This project is in active development and NOT in production.** Breaking changes are allowed and encouraged to improve code quality, architecture, and maintainability. Feel free to:
- Refactor code structures and patterns
- Change APIs and data models
- Update dependencies and migrate to better solutions
- Restructure the codebase for improved architecture
- Make backward-incompatible changes that enhance the application

## Development Workflow

**IMPORTANT: Commit to Git After Every Feature/Fix/Update**

After implementing any feature, fix, or update, you MUST:

 1. **Build and test** the changes:
    ```bash
    # Backend
    cd backend && bun test

    # Frontend
    cd frontend && bun run build
    ```

2. **Create a git commit** with a descriptive message:
   ```bash
   git add <files>
   git commit -m "feat/fix/docs: descriptive message

   Detailed explanation of changes...

   🤖 Generated with [AI Assistant]

   Co-Authored-By: AI Assistant <noreply@ai-assistant.com>"
   ```

3. **Use conventional commit prefixes**:
   - `feat:` - New features
   - `fix:` - Bug fixes
   - `docs:` - Documentation changes
   - `test:` - Test additions or updates
   - `refactor:` - Code refactoring
   - `chore:` - Maintenance tasks
   - `perf:` - Performance improvements

4. **Commit frequency**: Create commits for each logical unit of work. Don't batch multiple unrelated changes into one commit.

5. **Push regularly**: Push commits to origin after completing features or at end of session:
   ```bash
   git push origin main
   ```

This ensures:
- Clear history of all changes
- Easy rollback if needed
- Better collaboration and code review
- Deployment tracking
- CI/CD pipeline triggers

## Commands

### Backend (from `/backend`)
- `bun test` - Run all tests
- `bunx eslint .` - Run linter
- `node server.js` - Start development server

### Frontend (from `/frontend`)
- `bun test` - Run all tests in watch mode
- `bun test -- --testNamePattern="test name"` - Run single test
- `bun run build` - Production build
- `bun start` - Start development server

## Code Style

### Backend (Node.js/Express)
- **Imports**: Use `require()` for CommonJS modules; group by: built-in → third-party → local (models, middleware, routes)
- **Formatting**: 2-space indent, trailing commas in objects/arrays, double quotes for strings
- **Naming**: camelCase for variables/functions, PascalCase for models/schemas, lowercase for routes
- **Error Handling**: Use try-catch in async routes; log errors with `console.error(err.message)`; return generic "Server error" (500) or specific error messages (400)
- **Responses**: Return JSON with `res.json()` for success, `res.status(code).json({ msg: "..." })` or `res.status(code).send("...")` for errors

### Frontend (React)
- **Imports**: ES6 `import`; group by: React → third-party → local components → context → styles
- **Components**: Functional components with hooks; export default at end
- **Naming**: PascalCase for components, camelCase for functions/variables
- **State**: Use `useState` for local state, Context API for global state (AuthContext pattern)
- **Error Handling**: Handle errors in async operations, display user-friendly messages

### General
- **Types**: No TypeScript configured; use JSDoc comments for complex functions if needed
- **ESLint**: Follows eslint config in backend; "no-unused-vars" and "no-undef" set to warn

## Architecture

### Monorepo Structure
- `frontend/`: React application (Create React App)
- `backend/`: Express API server with MongoDB

### Backend Architecture
The backend follows a standard Express MVC pattern:
- `server.js`: Main entry point with Socket.IO for real-time updates
- `routes/`: API route handlers for auth, streets, tasks, posts, events, rewards, reports, ai, payments, users
- `models/`: Mongoose schemas (User, Street, Task, Post, Event, Reward, Report)
- `middleware/auth.js`: JWT authentication middleware using `x-auth-token` header

### Frontend Architecture
React SPA using React Router v6:
- `App.js`: Main router with client-side routing
- `context/AuthContext.js`: Global authentication state management
- `context/SocketContext.js`: Socket.IO real-time connection management
- `components/`: Feature components (MapView, TaskList, SocialFeed, Profile, Events, Rewards, Premium, Login, Register, Navbar, ErrorBoundary)
- Real-time updates via Socket.IO for events, posts, and tasks
- Interactive map with Leaflet for street visualization
- Comprehensive error handling with ErrorBoundary

Authentication flow: JWT tokens stored in localStorage and sent via `x-auth-token` header on all API requests.

Frontend proxies API requests to `http://localhost:5000` in development.

**Note:** This is a true monorepo - both frontend and backend are tracked in the same Git repository for simplified development and deployment.

## Environment Variables

Backend requires `.env` file:
- `MONGO_URI`: MongoDB connection string
- `JWT_SECRET`: Secret for JWT signing
- `PORT` (optional): Server port (defaults to 5000)

## API Endpoints

- `/api/auth`: Registration, login, and user authentication
- `/api/streets`: Street data and adoption management
- `/api/tasks`: Maintenance task CRUD operations
- `/api/posts`: Social feed posts
- `/api/events`: Community events with Socket.IO real-time updates
- `/api/rewards`: Points and rewards system
- `/api/reports`: Street condition reports
- `/api/ai`: AI-powered suggestions and insights
- `/api/payments`: Premium subscription management (currently mocked)
- `/api/users`: User profile management

## Key Technologies

- Frontend: React 19, React Router v6, Leaflet (mapping), Axios, Socket.IO client, Stripe.js
- Backend: Express, Mongoose (MongoDB), JWT, bcryptjs, Socket.IO, Stripe, Multer (file uploads)
- Testing: React Testing Library, Jest

## Socket.IO Events

Real-time features for events:
- `joinEvent(eventId)`: Join event room
- `eventUpdate`: Broadcast updates to event participants

## Deployment

### Kubernetes Raspberry Pi Cluster

This application is deployed on a Kubernetes cluster running on Raspberry Pi hardware:

**Cluster Configuration:**
- **2x Raspberry Pi 5 (8GB RAM)** - Primary worker nodes for application workloads
- **1x Raspberry Pi 3B+ (1GB RAM)** - Worker node for lightweight services

**Architecture Considerations:**
- ARM64 architecture (Pi 5) and ARMv7 architecture (Pi 3B+)
- Multi-arch Docker images required (linux/arm64, linux/arm/v7)
- Resource-constrained environment - optimize for low memory usage
- Frontend and backend should be containerized separately
- MongoDB should run as a StatefulSet with persistent storage
- Consider resource limits and requests appropriate for Pi hardware

**Deployment Strategy:**
- Use Kubernetes manifests or Helm charts
- Implement horizontal pod autoscaling based on available resources
- Place memory-intensive workloads (backend, MongoDB) on Pi 5 nodes
- Place frontend static serving on any node (lightweight)
- Use NodeAffinity/NodeSelector to control pod placement
- Implement health checks and readiness probes
- Use ConfigMaps for environment variables
- Use Secrets for sensitive data (JWT_SECRET, CLOUDINARY credentials, etc.)

See deployment documentation for Kubernetes manifests and deployment instructions.

## Testing

Comprehensive test infrastructure is in place for both backend and frontend.

### Running Tests

Backend:
```bash
cd backend
bun test              # Run all tests
bun run test:coverage # Run with coverage report
bun run test:watch    # Run in watch mode
```

Frontend:
```bash
cd frontend
bun test              # Run in watch mode
bun run test:coverage # Run with coverage report
```

### Test Coverage

- **Backend**: ~55% coverage (109 passing tests)
  - Route tests for auth, streets, tasks, posts, events, rewards, reports
  - Model tests for User, Street, Task, Post
  - Middleware tests for authentication
  - Using Jest + Supertest + MongoDB Memory Server

- **Frontend**: MSW infrastructure in place
  - Component tests for Login, Register, ErrorBoundary
  - Integration tests for authentication flow
  - Using React Testing Library + Jest + MSW

See [TESTING.md](TESTING.md) for detailed testing documentation.

## Gemini AI Agents

Gemini LLM can be used to spawn AI agents for various tasks. There are two models available:

- **gemini-2.5-flash**: Quick responses that don't require thinking mode
- **gemini-2.5-pro**: Thinking model for more demanding tasks

### Usage Commands
```bash
gemini --model gemini-2.5-flash -p "<PROMPT>"
gemini --model gemini-2.5-pro -p "<PROMPT>"
```

Use flash for simple, quick tasks and pro for complex reasoning, analysis, or creative tasks that require deeper thinking.

## AI Assistant Guidelines

### For All AI Models
1. **Always read existing code** before making changes to understand patterns and conventions
2. **Follow the established code style** and architectural patterns
3. **Test your changes** before committing
4. **Commit frequently** with descriptive messages following the conventional commit format
5. **Ask for clarification** if requirements are unclear
6. **Document complex decisions** in code comments or commit messages
7. **Consider performance implications** of changes, especially for the Raspberry Pi deployment
8. **Maintain backward compatibility** where possible, but remember breaking changes are allowed in development

### Task Prioritization
1. **High Priority**: Security fixes, critical bugs, deployment blockers
2. **Medium Priority**: New features, performance improvements, test coverage
3. **Low Priority**: Code refactoring, documentation updates, minor UI improvements

### Communication
- Be clear and concise in commit messages and code comments
- Explain the "why" behind complex changes
- Flag any potential breaking changes or security concerns
- Suggest follow-up tasks or improvements when relevant

### Quality Assurance
- Run linting and tests before committing
- Ensure code follows established patterns
- Verify functionality works end-to-end
- Check for potential security vulnerabilities
- Consider edge cases and error handling

Remember: This is a collaborative development environment. Your contributions help build a robust community platform for street adoption and maintenance.