reCharge：基于 SwiftUI 的全方位健康睡眠管理 App 实现原理与技术分享

[Lomanu4]

1. Project Background & Motivation


As modern life accelerates, sleep quality is becoming an increasingly vital part of overall well-being. Leveraging Apple Watch and iPhone health data, we can now detect sleep patterns more accurately and combine them with factors like natural light exposure, hydration, exercise, and AI-powered suggestions to build a closed-loop sleep optimization solution.

Пожалуйста Авторизируйтесь или Зарегистрируйтесь для просмотра скрытого текста.

is a native SwiftUI app that integrates multiple Apple ecosystem technologies — including HealthKit, CoreLocation, WatchConnectivity, StoreKit, localization, and ChatGPT — to deliver a full-featured sleep management experience.

As an iOS developer, I created this project to explore how AI and system-level Apple APIs can combine to improve daily health through a seamless user experience.

? Note: The Apple Watch serves primarily as a data collection tool. In future iterations,

Пожалуйста Авторизируйтесь или Зарегистрируйтесь для просмотра скрытого текста.

will incorporate additional behavioral signals, such as screen time tracking, to personalize recommendations.

2. Core Features Overview

• Sleep Data Sync: Automatically reads and displays sleep history from Apple Watch via HealthKit
• AI-Powered Suggestions: Uses the OpenAI ChatGPT API and user health profile to generate personalized lifestyle and sleep recommendations
• Sunlight Exposure Reminders: Calculates optimal sunlight windows based on location and sunrise/sunset times
• Hydration & Activity Tracking: Helps users record water intake and daily exercise to support better sleep
• Apple Watch Companion App: Displays current sleep status and reminders in real-time on watchOS
• Subscription Paywall: Integrated with StoreKit 4 to support in-app purchases, trials, and subscription tiers
• Localization Support: Seamless language switching with built-in English/Chinese support and scalable i18n architecture

3. Tech Stack & Architecture

• UI Layer: SwiftUI + Combine using MVVM pattern
• Data & Permissions: HealthKitManager, LocationManager, NotificationManager
• Watch Communication: WatchConnectivityManager
• Networking: SunTimeAPIService (RESTful) + ChatGPTService (OpenAI)
• Payments: StoreKitManager + SubscriptionManager
• Localization: LanguageManager with .lproj resource bundles
• Persistence: UserDefaults for settings / Keychain for secure tokens (optional upgrade to CoreData)

4. Key Module Breakdowns

1. HealthKitManager

• Requests permissions for sleep, heart rate, steps, etc.
• Exposes Combine publishers for batch queries and real-time updates

healthStore.requestAuthorization(toShare: [], read: [.sleepAnalysis]) { success, error in
// Handle authorization
}
2. SunTimeAPIService & SunTimeManager

• 
  Parses sunrise/sunset times to schedule local notifications
  
  
• 
  LocationPermissionCard and RequestLocationButton handle runtime permission flow
  

3.WatchConnectivityManager

• 
  Manages WCSession between iPhone and Apple Watch
  
  
• 
  Syncs real-time sleep and reminder states
  
  
• 
  Updates watchOS interface via corresponding SleepManager
  

4. StoreKitManager & SubscriptionManager

• 
  Queries available products, handles purchases and restoration logic
  
  
• 
  PaywallView governs subscription flow
  
  
• 
  Subscription state is stored in UserDefaults
  

5. Project Highlights & Engineering Practices


Full Apple Ecosystem Integration: iPhone + Watch + HealthKit + StoreKit + ChatGPT

• 
  MVVM + Combine Architecture: Clean separation of UI and logic, testable reactive data flow
  
  
• 
  Modular Design: Well-encapsulated services and managers with low coupling
  
  
• 
  Internationalization Ready: Scalable .lproj file structure, easily expandable
  
  
• 
  AI Recommendations: Demonstrates real-world integration of LLMs into mobile health workflows
  

6.Future Improvements

• 
  Add sleep interventions (e.g. white noise, breathing exercises)
  
  
• 
  Visualize health data using line charts and heatmaps
  
  
• 
  Introduce intelligent reminder strategies based on ML or user habits
  
  
• 
  Expand to additional health metrics (e.g. blood oxygen, HRV)
  
  
• 
  Enable full offline functionality and iCloud sync/backup
  

7. Conclusion

Пожалуйста Авторизируйтесь или Зарегистрируйтесь для просмотра скрытого текста.

is a showcase of what’s possible when combining modern SwiftUI development with the power of the Apple ecosystem and AI-driven personalization. Whether you're looking to integrate HealthKit, implement watchOS communication, or embed GPT recommendations, this project offers a complete blueprint to learn from.

Пожалуйста Авторизируйтесь или Зарегистрируйтесь для просмотра скрытого текста.