mARTin
408ed9082d
Files: - STACK.md - FEATURES.md - ARCHITECTURE.md - PITFALLS.md - SUMMARY.md Key findings: - Stack: React, Node.js, PostgreSQL, Prisma - Architecture: Layered with clear component boundaries - Critical pitfall: Inconsistent calendar sync behavior
119 lines
4.9 KiB
Markdown
119 lines
4.9 KiB
Markdown
# Architecture Patterns
|
|
|
|
**Domain:** Weekly Task Management Application
|
|
**Researched:** January 24, 2026
|
|
|
|
## Recommended Architecture
|
|
|
|
A weekly task management application with calendar integration follows a layered architecture pattern with distinct component boundaries. The architecture consists of:
|
|
|
|
1. **Frontend Layer** - User interface for weekly view, drag-and-drop functionality, and calendar integration
|
|
2. **Backend Layer** - API services for task and calendar data management
|
|
3. **Data Layer** - Database for storing tasks, events, and user preferences
|
|
4. **Integration Layer** - Services for Apple Calendar and Google Calendar synchronization
|
|
|
|
This structure enables scalability, maintainability, and supports the core requirement of displaying tasks and events in a single weekly view.
|
|
|
|
### Component Boundaries
|
|
|
|
| Component | Responsibility | Communicates With |
|
|
|-----------|---------------|-------------------|
|
|
| **Frontend** | User interface rendering, drag-and-drop operations, weekly view display | Backend API, Integration Layer |
|
|
| **Backend API** | Business logic, task/event management, authentication | Database, Integration Layer |
|
|
| **Database** | Persistent storage of tasks, events, calendar integrations, user data | Backend API |
|
|
| **Calendar Integration** | Sync with Apple Calendar and Google Calendar | Backend API, External Calendar APIs |
|
|
|
|
### Data Flow
|
|
|
|
1. User interacts with weekly view in frontend (drag-and-drop, add/remove tasks)
|
|
2. Frontend communicates changes to Backend API via RESTful services
|
|
3. Backend API processes business logic and validates data
|
|
4. Backend accesses Database for storage/retrieval of task/event data
|
|
5. For external calendar sync, Backend API communicates with Calendar Integration Layer
|
|
6. Calendar Integration Layer manages OAuth flows and data synchronization
|
|
7. Updates are pushed back to frontend for immediate UI refresh
|
|
|
|
## Patterns to Follow
|
|
|
|
### Pattern 1: Layered Architecture
|
|
**What:** Separation of concerns into distinct layers (presentation, business logic, data)
|
|
**When:** For scalable, maintainable codebase
|
|
**Example:**
|
|
```javascript
|
|
// Frontend layer
|
|
const WeeklyView = () => {
|
|
// Renders weekly view with task/event cards
|
|
}
|
|
|
|
// Backend layer
|
|
const TaskService = {
|
|
async createTask(taskData) {
|
|
// Business logic validation
|
|
const task = await database.saveTask(taskData);
|
|
return task;
|
|
}
|
|
}
|
|
```
|
|
|
|
### Pattern 2: Observer Pattern for Real-time Updates
|
|
**What:** Components notify each other of changes in real-time
|
|
**When:** For synchronous updates between frontend and backend when tasks are moved
|
|
**Example:**
|
|
```javascript
|
|
// Event emitter for task movement
|
|
const taskEmitter = new EventEmitter();
|
|
taskEmitter.on('taskMoved', (taskId, newDay) => {
|
|
// Update UI immediately
|
|
updateWeekView(taskId, newDay);
|
|
});
|
|
```
|
|
|
|
### Pattern 3: Service Layer for Calendar Integration
|
|
**What:** Encapsulate external calendar API interactions in dedicated services
|
|
**When:** For managing multiple calendar providers and complex sync logic
|
|
**Example:**
|
|
```javascript
|
|
class CalendarSyncService {
|
|
async syncWithGoogle(calendarEvents) {
|
|
// Handle Google Calendar OAuth flow
|
|
// Update local DB with synced events
|
|
}
|
|
|
|
async syncWithApple(calendarEvents) {
|
|
// Handle Apple Calendar integration
|
|
// Update local DB with synced events
|
|
}
|
|
}
|
|
```
|
|
|
|
## Anti-Patterns to Avoid
|
|
|
|
### Anti-Pattern 1: Monolithic Frontend
|
|
**What:** All UI logic bundled in single files without separation
|
|
**Why bad:** Makes maintenance difficult as application grows
|
|
**Instead:** Use component-based architecture with clear separation of concerns
|
|
|
|
### Anti-Pattern 2: Direct Database Access
|
|
**What:** Frontend components querying database directly
|
|
**Why bad:** Security vulnerabilities, tight coupling, scalability issues
|
|
**Instead:** Use API layer to mediate all data access
|
|
|
|
### Anti-Pattern 3: Inconsistent Calendar Sync Logic
|
|
**What:** Different sync approaches for different calendar providers
|
|
**Why bad:** Leads to data inconsistency and user confusion
|
|
**Instead:** Implement standardized sync protocols with clear error handling
|
|
|
|
## Scalability Considerations
|
|
|
|
| Concern | At 100 users | At 10K users | At 1M users |
|
|
|---------|--------------|--------------|-------------|
|
|
| Task Creation/Updates | Local caching with optimistic updates | Load balancer with database connection pooling | CDN for static assets, sharded database |
|
|
| Calendar Integration | Single-threaded sync per user | Parallel sync workers | Distributed sync services, queue processing |
|
|
| Concurrent Drag-and-Drop | Immediate updates with local state | Server-synchronized updates with conflict resolution | Real-time WebSocket connections for instant updates |
|
|
|
|
## Sources
|
|
|
|
- General software architecture principles from Martin Fowler's writings
|
|
- Layered architecture patterns commonly used in web applications
|
|
- Task management application design patterns from industry best practices
|
|
- Component-based architecture guidelines for scalable frontend development |