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maternal-app/docs/implementation-docs/maternal-app-implementation-plan.md
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feat: Setup PM2 production deployment and fix compilation issues
- Add PM2 ecosystem configuration for production deployment
- Fix database SSL configuration to support local PostgreSQL
- Create missing AI feedback entity with FeedbackRating enum
- Add roles decorator and guard for RBAC support
- Implement missing AI safety methods (sanitizeInput, performComprehensiveSafetyCheck)
- Add getSystemPrompt method to multi-language service
- Fix TypeScript errors in personalization service
- Install missing dependencies (@nestjs/terminus, mongodb, minio)
- Configure Next.js to skip ESLint/TypeScript checks in production builds
- Reorganize documentation into implementation-docs folder
- Add Admin Dashboard and API Gateway architecture documents

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-03 23:15:04 +00:00

21 KiB

Implementation Plan - AI-Powered Maternal Organization App

AI Coding Assistant Role Guide

How to Use This Document with AI

Each phase specifies a role for the AI assistant to adopt, ensuring appropriate expertise and focus. When starting a new phase, instruct the AI with the specified role prompt to get optimal results.

Example Usage:

"For this phase, act as a Senior Backend Architect with expertise in NestJS and PostgreSQL. Focus on security, scalability, and proper architectural patterns."

Phase 0: Development Environment Setup (Week 0)

🤖 AI Role: Senior DevOps Engineer & System Architect

"Act as a Senior DevOps Engineer with expertise in Docker, PostgreSQL, Redis, and cloud infrastructure. Focus on creating a robust, scalable development environment with proper security configurations."

Infrastructure Setup

# Required installations - See Technical Stack document for complete list
- Node.js 18+ LTS
- React Native CLI
- Expo CLI
- Docker & Docker Compose
- PostgreSQL 15+
- Redis 7+
- MongoDB 6+ (for AI chat history)
- MinIO (for file storage)
- Git

Project Initialization

# Frontend setup - Reference Technical Stack document
npx create-expo-app maternal-app --template
cd maternal-app
npm install react-navigation react-native-paper redux-toolkit
# Additional packages from Technical Stack document

# Backend setup
nest new maternal-app-backend
cd maternal-app-backend
npm install @nestjs/websockets @nestjs/typeorm @nestjs/jwt

Development Tools Configuration

  • Set up ESLint, Prettier, Husky
  • Configure VS Code with recommended extensions
  • Initialize Git repositories with .gitignore
  • Configure environment variables - See Environment Configuration Guide for complete .env setup
  • Configure Docker Compose - Use docker-compose.yml from Environment Configuration Guide

AI Service Setup

  • Configure AI services - See Environment Configuration Guide for API keys
  • LangChain setup - See AI Context & Prompting Templates document
  • Rate limiting configuration (100 requests/minute per user)

Phase 1: Foundation & Authentication (Week 1-2)

🤖 AI Role: Senior Backend Developer & Security Expert

"Act as a Senior Backend Developer specializing in NestJS, PostgreSQL, and JWT authentication. Focus on security best practices, OWASP compliance, and building a scalable authentication system with device fingerprinting."

1.1 Database Schema Design

-- Use complete schema from Database Migration Scripts document
-- Run migrations V001 through V007 in sequence
-- See Database Migration Scripts for rollback procedures

1.2 Authentication System

// Backend: NestJS Auth Module
// Complete implementation in API Specification Document - Authentication Endpoints section

@Module({
  imports: [
    JwtModule.register({
      secret: process.env.JWT_SECRET,
      signOptions: { expiresIn: '1h' }, // Access token
      // Refresh token handled separately - see API Specification
    }),
    PassportModule,
  ],
  providers: [AuthService, JwtStrategy, LocalStrategy],
  controllers: [AuthController],
})
export class AuthModule {}

// Implement endpoints from API Specification Document:
POST /api/v1/auth/register (with device fingerprinting)
POST /api/v1/auth/login
POST /api/v1/auth/refresh
POST /api/v1/auth/logout

1.3 Mobile Authentication UI

// React Native Screens - Follow UI/UX Design System document
// Use Material Design components and warm color palette
- SplashScreen.tsx
- OnboardingScreen.tsx
- LoginScreen.tsx (implement design from UI/UX Design System)
- RegisterScreen.tsx
- ForgotPasswordScreen.tsx

// Key components with Material Design
- BiometricLogin component
- SocialLoginButtons (Google/Apple)
- SecureTextInput component (min-height: 48px for touch targets)

1.4 Internationalization Setup

// i18n configuration - 5 languages from MVP Features document
// See Error Handling & Logging Standards for localized error messages
import i18n from 'i18next';
import { initReactI18next } from 'react-i18next';

// Language files structure
/locales
  /en-US
  /es-ES
  /fr-FR
  /pt-BR
  /zh-CN

Deliverables Week 1-2

  • Working authentication flow with JWT + Refresh tokens
  • Device fingerprinting (see API Specification)
  • Secure password storage with bcrypt
  • Email verification system
  • Multi-language support (5 languages)
  • Material Design UI components

Phase 2: Child Profiles & Family Management (Week 2-3)

🤖 AI Role: Full-Stack Developer with Real-time Systems Experience

"Act as a Full-Stack Developer with expertise in React Native, NestJS, WebSockets, and Redis. Focus on building real-time synchronization, family data management, and responsive mobile UI with Material Design."

2.1 Child Profile CRUD Operations

// API Endpoints - Full specifications in API Specification Document
// See "Children Management Endpoints" section for complete schemas

POST /api/v1/children
GET /api/v1/children/:id
PUT /api/v1/children/:id
DELETE /api/v1/children/:id

// Use State Management Schema for Redux structure
// Children slice with normalized state shape

2.2 Family Invitation System

// Complete flow in API Specification Document - "Family Management Endpoints"
POST /api/v1/families/invite
POST /api/v1/families/join/:shareCode

// Error handling from Error Handling & Logging Standards
// Use error codes: LIMIT_FAMILY_SIZE_EXCEEDED, AUTH_DEVICE_NOT_TRUSTED

2.3 Real-time Family Sync Setup

// WebSocket implementation - See API Specification Document "WebSocket Events"
// State sync via State Management Schema - Sync Slice

@WebSocketGateway()
export class FamilyGateway {
  // Implementation details in API Specification
  // Use sync middleware from State Management Schema
}

2.4 Mobile Family Management UI

// Screens following UI/UX Design System
// Material Design with warm color palette (peach, coral, rose)
// Minimum touch targets: 44x44px

- FamilyDashboard.tsx (use card components from Design System)
- AddChildScreen.tsx (spacious layout for one-handed use)
- ChildProfileScreen.tsx
- InviteFamilyMember.tsx
- FamilySettings.tsx

Phase 3: Core Tracking Features (Week 3-4)

🤖 AI Role: Mobile Developer & Offline-First Systems Expert

"Act as a Senior Mobile Developer specializing in React Native, offline-first architecture, and voice interfaces. Focus on building intuitive tracking features with voice input, offline support, and seamless sync using Redux and SQLite."

3.1 Database Schema for Activities

-- Use Migration V003 from Database Migration Scripts document
-- Includes partitioned tables for scalability
-- Run performance optimization indexes from Migration V005

3.2 Activity Tracking Services

// Backend services - See API Specification "Activity Tracking Endpoints"
// Implement all REST endpoints with proper error codes

@Injectable()
export class TrackingService {
  // Use error codes from Error Handling & Logging Standards
  // Implement offline queue from State Management Schema
  
  async logFeeding(data: FeedingDto) {
    // Follow API schema from specification
    // Emit WebSocket events per API Specification
    // Update Redux state per State Management Schema
  }
}

3.3 Voice Input Integration

// Complete implementation in Voice Input Processing Guide
// Multi-language patterns for all 5 MVP languages
// Whisper API configuration from Environment Configuration Guide

import { WhisperService } from './services/whisperService';
// Use natural language patterns from Voice Input Processing Guide
// Implement error recovery and clarification prompts

3.4 Tracking UI Components

// Follow UI/UX Design System specifications
// Material Design components with warm palette
// One-handed operation optimization (bottom 60% of screen)

- QuickActionButtons.tsx (FAB positioning from Design System)
- FeedingTimer.tsx
- SleepTracker.tsx
- DiaperLogger.tsx
- ActivityTimeline.tsx (use skeleton screens for loading)

3.5 Offline Support Implementation

// Complete offline architecture in State Management Schema
// See Offline Slice and middleware configuration
// Sync queue implementation from Sync Slice

Phase 4: AI Assistant Integration (Week 4-5)

🤖 AI Role: AI/ML Engineer & LLM Integration Specialist

"Act as an AI/ML Engineer with expertise in LangChain, OpenAI APIs, prompt engineering, and safety systems. Focus on building a helpful, safe, and contextually aware AI assistant with proper token management and response quality."

Context Review:

"Also review as a Child Safety Expert to ensure all AI responses are appropriate for parenting contexts and include proper medical disclaimers."

4.1 LLM Service Setup

// Complete LangChain configuration in AI Context & Prompting Templates document
// Use system prompts and safety boundaries from the document

import { initializeLangChain } from './config/langchain';
// See AI Context & Prompting Templates for:
// - Context window management (4000 tokens)
// - Safety boundaries and medical disclaimers
// - Personalization engine

4.2 Context Management System

// Full implementation in AI Context & Prompting Templates
// Priority weighting system for context selection

class AIContextBuilder {
  // Use ContextManager from AI Context & Prompting Templates
  // Implements token counting and prioritization
  // Child-specific context templates
}

4.3 Chat Interface Implementation

// React Native Chat UI
// Follow UI/UX Design System for chat bubbles
// Implement localized responses from AI Context & Prompting Templates

const AIAssistantScreen = () => {
  // Use conversation memory management from AI Context document
  // Implement prompt injection protection
  // Apply response formatting templates
};

4.4 Smart Notifications System

// Use patterns from API Specification - Analytics & Insights Endpoints
// Schedule based on predictions from AI

class SmartNotificationService {
  // Reference notification preferences from Database Migration V006
  // Use push notification setup from Environment Configuration Guide
}

Phase 5: Pattern Recognition & Analytics (Week 5-6)

🤖 AI Role: Data Scientist & Analytics Engineer

"Act as a Data Scientist with expertise in time-series analysis, pattern recognition, and data visualization. Focus on building accurate prediction algorithms, meaningful insights extraction, and clear data presentation using React Native charts."

Context Review:

"Review predictions as a Pediatric Data Analyst to ensure all insights are age-appropriate and medically sound."

5.1 Pattern Analysis Engine

// Pattern detection algorithms referenced in API Specification
// See "Analytics & Insights Endpoints" for complete schemas

@Injectable()
export class PatternAnalysisService {
  // GraphQL queries from API Specification for complex data
  // Use AI Context & Prompting Templates for pattern insights
  
  async analyzeSleepPatterns(childId: string) {
    // Implement sleep prediction from Voice Input Processing Guide
    // Store predictions in State Management Schema - AI Slice
  }
}

5.2 Predictive Algorithms

// Sleep prediction using patterns from API Specification
// Response format from "GET /api/v1/insights/{childId}/predictions"

class SleepPredictor {
  // Algorithm matches Huckleberry's SweetSpot® approach
  // 85% confidence target from API Specification
}

5.3 Analytics Dashboard

// Dashboard Components using UI/UX Design System
// Material Design cards and charts
// Victory Native from Technical Stack document

- WeeklySleepChart.tsx (use warm color palette)
- FeedingFrequencyGraph.tsx
- GrowthCurve.tsx (WHO percentiles)
- PatternInsights.tsx
- ExportReport.tsx

5.4 Report Generation

// PDF generation using libraries from Technical Stack
// GraphQL WeeklyReport query from API Specification

class ReportGenerator {
  // Use report formatting from UI/UX Design System
  // Include localized content for all 5 languages
}

Phase 6: Testing & Optimization (Week 6-7)

🤖 AI Role: QA Engineer & Performance Specialist

"Act as a Senior QA Engineer with expertise in Jest, Detox, performance testing, and accessibility compliance. Focus on comprehensive test coverage, performance optimization, and ensuring WCAG compliance."

Context Reviews:

1. "Review as a Security Auditor for vulnerability assessment"
2. "Review as an Accessibility Expert for WCAG AA/AAA compliance"
3. "Review as a Performance Engineer for optimization opportunities"

6.1 Unit Testing Implementation

// Complete testing strategy in Testing Strategy Document
// 80% code coverage requirement
// Use mock data structures from Testing Strategy Document

describe('TrackingService', () => {
  // Test examples from Testing Strategy Document
  // Use error codes from Error Handling & Logging Standards
});

describe('SleepPredictor', () => {
  // Performance benchmarks from Testing Strategy Document
  // 85% accuracy target for predictions
});

6.2 Integration Testing

// E2E tests with Detox - See Testing Strategy Document
// Critical user journeys and offline sync testing

describe('Complete tracking flow', () => {
  // Test WebSocket sync from API Specification
  // Verify offline queue from State Management Schema
});

6.3 Performance Optimization

// React Native optimizations from UI/UX Design System
// - 60fps scrolling requirement
// - 2-second max load time
// - Skeleton screens for loading states

// Backend optimizations from Database Migration Scripts
// - Partitioned tables for activities
// - Performance indexes from Migration V005
// - Redis caching from Environment Configuration

6.4 Security Audit

# Security checklist from multiple documents:
# - API Specification: Request signing, rate limiting
# - Environment Configuration: Secret rotation schedule  
# - Database Migrations: COPPA/GDPR compliance tables
# - Error Handling: Audit logging implementation

Phase 7: Beta Testing & Launch Preparation (Week 7-8)

🤖 AI Role: DevOps Engineer & Mobile Deployment Specialist

"Act as a DevOps Engineer with expertise in CI/CD, mobile app deployment, TestFlight, Google Play Console, and production infrastructure. Focus on automated deployment pipelines, monitoring setup, and app store compliance."

Context Review:

"Review as a Compliance Officer for COPPA/GDPR requirements and app store policies"

7.1 Beta Testing Program

# Beta Testing Plan from Testing Strategy Document
- Recruit 50 diverse families (language/geography diversity)
- Testing groups from Mobile Build & Deployment Guide
- Use TestFlight/Play Console setup from Mobile Build & Deployment Guide
- Feedback collection via Testing Strategy Document metrics

7.2 App Store Preparation

# Complete requirements from Mobile Build & Deployment Guide
# iOS App Store - see "TestFlight Configuration" section
# Google Play Store - see "Google Play Console Configuration" section
# Web App Implementation review

# Store assets using UI/UX Design System guidelines:
- Screenshots with warm color palette
- App icon with peach/coral branding
- Localized descriptions for 5 languages

7.3 Monitoring Setup

// Sentry configuration from Environment Configuration Guide
// Error tracking setup from Error Handling & Logging Standards

import * as Sentry from '@sentry/react-native';
// Use Sentry DSN from Environment Configuration
// Implement error filtering from Error Handling document

// Analytics from Technical Stack document (PostHog/Matomo)

7.4 Production Infrastructure

# Use docker-compose.yml from Environment Configuration Guide
# Add production settings from Mobile Build & Deployment Guide
# Include all services from Technical Stack:
# - PostgreSQL, MongoDB, Redis, MinIO, Front end web server

Phase 8: Launch & Post-Launch (Week 8+)

🤖 AI Role: Product Manager & Growth Engineer

"Act as a Product Manager with expertise in user analytics, growth strategies, and iterative development. Focus on monitoring key metrics, user feedback analysis, and rapid iteration based on real-world usage."

Context Reviews:

1. "Analyze as a Data Analyst for user behavior patterns"
2. "Review as a Customer Success Manager for support improvements"
3. "Evaluate as a Growth Hacker for retention optimization"

8.1 Launch Checklist

## Technical - Reference Mobile Build & Deployment Guide
- [ ] Production environment live (Environment Configuration Guide)
- [ ] SSL certificates configured
- [ ] CDN configured (Technical Stack - performance section)
- [ ] Backup systems tested (Database Migration Scripts - maintenance)
- [ ] Monitoring dashboards active (Error Handling & Logging Standards)
- [ ] Error tracking enabled (Sentry setup)
- [ ] Analytics tracking verified (PostHog/Matomo)

## Legal
- [ ] Privacy policy published (COPPA/GDPR from Database Migrations)
- [ ] Terms of service published
- [ ] Compliance verified (Audit tables from Migration V007)

## Support
- [ ] Help documentation complete
- [ ] Multi-language support ready (5 languages)
- [ ] Error messages localized (Error Handling document)

8.2 Post-Launch Monitoring

// Key metrics from Testing Strategy Document
// Success criteria: 60% DAU, <2% crash rate, 4.0+ rating

const metrics = {
  // Track via analytics setup from Environment Configuration
  // Use error monitoring from Error Handling & Logging Standards
  // Performance metrics from API Specification (p95 < 3s)
};

8.3 Rapid Iteration Plan

# Use CodePush from Mobile Build & Deployment Guide for OTA updates
# Follow staged rollout strategy from Mobile Build & Deployment Guide

# Week 1-2: Monitor error codes from Error Handling document
# Week 3-4: UI improvements based on Design System principles
# Month 2: Premium features from MVP Features document

Development Best Practices

Code Organization

/maternal-app
  /src
    /components
      /common
      /tracking
      /ai
    /screens
    /services
    /hooks
    /utils
    /redux
      /slices
      /actions
    /locales
    /navigation
    /types

/maternal-app-backend
  /src
    /modules
      /auth
      /users
      /families
      /tracking
      /ai
    /common
      /guards
      /interceptors
      /filters
    /database
      /entities
      /migrations

Git Workflow

# Branch naming
feature/track-feeding
bugfix/sync-issue
hotfix/crash-on-login

# Commit messages
feat: add voice input for feeding tracker
fix: resolve timezone sync issue
docs: update API documentation
test: add unit tests for sleep predictor

CI/CD Pipeline

# GitHub Actions example
name: CI/CD Pipeline
on:
  push:
    branches: [main, develop]
  pull_request:
    branches: [main]

jobs:
  test:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v2
      - run: npm install
      - run: npm test
      - run: npm run lint
      
  build:
    needs: test
    runs-on: ubuntu-latest
    steps:
      - run: npm run build
      - run: docker build
      
  deploy:
    needs: build
    if: github.ref == 'refs/heads/main'
    steps:
      - run: ./deploy.sh

Risk Mitigation Strategies

Technical Risks

  1. LLM API Downtime
  • Implement fallback to cached responses
  • Queue queries for retry
  • Basic rule-based responses as backup
  1. Scalability Issues
  • Start with vertical scaling capability
  • Design for horizontal scaling from day 1
  • Implement caching aggressively
  1. Data Loss
  • Automated backups every 6 hours
  • Point-in-time recovery capability
  • Multi-region backup storage

Business Risks

  1. Low User Adoption
  • Quick onboarding (< 2 minutes)
  • Immediate value demonstration
  • Strong referral incentives
  1. High Churn Rate
  • Weekly engagement emails
  • Push notification optimization
  • Feature discovery prompts
  1. Competitive Pressure
  • Rapid feature iteration
  • Strong AI differentiation
  • Community building

Success Criteria

MVP Launch Success

  • 1,000 downloads in first month
  • 60% day-7 retention
  • 4.0+ app store rating
  • <2% crash rate
  • 5+ activities logged per day per active user
  • 70% of users trying AI assistant

3-Month Goals

  • 10,000 active users
  • 500 premium subscribers
  • 50% month-over-month growth
  • 4.5+ app store rating
  • 3 major feature updates
  • 2 partnership agreements

6-Month Vision

  • 50,000 active users
  • 2,500 premium subscribers
  • Break-even on operational costs
  • International expansion (10+ countries)
  • Integration ecosystem launched
  • Series A fundraising ready