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This document defines the technical constraints, requirements, and architecture decisions for the Scottish Mountain Weather App development.
# Technical Constraints & Requirements This document defines the technical constraints, requirements, and architecture decisions for the Scottish Mountain Weather App development. ## Platform & Compatibility Requirements ### Mobile Platform Support **iOS Requirements:** - **Minimum Version:** iOS 13.0+ (covers 95% of active users) - **Target Devices:** iPhone 8 and newer, iPad Air 2 and newer - **Development:** Swift 5.0+ with UIKit/SwiftUI hybrid approach - **Distribution:** Apple App Store with TestFlight for beta testing - **Features:** Background app refresh, push notifications, Core Location **Android Requirements:** - **Minimum Version:** Android 8.0 (API level 26+) (covers 87% of active users) - **Target Devices:** 3GB+ RAM, screens 4.7"-6.9" - **Development:** Kotlin with Jetpack Compose for modern UI - **Distribution:** Google Play Store with internal testing track - **Features:** Foreground services, FCM notifications, Location Services **Progressive Web App (PWA):** - **Browsers:** Chrome 80+, Safari 13+, Firefox 75+, Edge 80+ - **Features:** Service Worker for offline, Web App Manifest - **Limitations:** No background sync, limited push notification support on iOS - **Use Case:** Fallback for users who prefer web access ### Cross-Platform Framework Decision **Recommendation: Native Development** - **Rationale:** Weather apps require optimal performance and platform-specific features - **iOS:** Swift/SwiftUI for modern declarative UI - **Android:** Kotlin/Jetpack Compose for performance and modern architecture - **Shared:** REST API backend, common design system principles **Alternative Considered: React Native** - **Pros:** Faster development, shared codebase - **Cons:** Performance concerns for real-time weather data, platform-specific features complexity - **Decision:** Not recommended for v1.0 due to performance requirements ## Performance Requirements ### Application Performance **Launch Time:** - **Cold start:** <2 seconds on iPhone 8/Galaxy S9 equivalent - **Warm start:** <1 second - **First meaningful paint:** <1.5 seconds - **Time to interactive:** <3 seconds **Runtime Performance:** - **Memory usage:** <150MB for active use - **CPU usage:** <20% during normal operation - **Battery drain:** <5% per hour of active use - **Scroll performance:** 60fps minimum, targeting 120fps on capable devices **Network Performance:** - **API calls:** <500ms response time for weather data - **Image loading:** Progressive loading with placeholders - **Offline capability:** Core functionality available for 24 hours - **Data usage:** <1MB per weather check, <5MB per session ### Backend Performance **API Response Times:** - **Location search:** <200ms (95th percentile) - **Weather data:** <500ms (95th percentile) - **Weather comparison:** <800ms (95th percentile) - **Health check:** <50ms (99th percentile) **Scalability Requirements:** - **Concurrent users:** 1,000+ simultaneous API requests - **Daily requests:** 100,000+ API calls - **Data throughput:** 10GB+ daily weather data processing - **Uptime:** 99.5% availability (4.38 hours downtime/month) ## Technical Architecture Constraints ### Backend Technology Stack **Primary Stack (Recommended):** ``` Backend Framework: FastAPI (Python 3.9+) Database: PostgreSQL 13+ with TimescaleDB extension Cache: Redis 6.0+ Message Queue: Celery with Redis broker Monitoring: Prometheus + Grafana Logging: Structured JSON logging with ELK stack ``` **Rationale:** - **FastAPI:** High performance, automatic API documentation, async support - **PostgreSQL + TimescaleDB:** Excellent time-series data handling for weather - **Redis:** High-performance caching and session storage - **Python:** Leverage existing weather_scraper.py codebase **Alternative Stack (if Python constraints exist):** ``` Backend Framework: Node.js with Express/Fastify Database: PostgreSQL with time-series optimizations Cache: Redis Message Queue: Bull (Redis-based) ``` ### Infrastructure Requirements **Cloud Platform (Recommended: AWS):** ``` Compute: ECS Fargate containers Database: RDS PostgreSQL with read replicas Cache: ElastiCache Redis cluster Storage: S3 for static assets and backups CDN: CloudFront for global distribution Load Balancer: ALB with health checks ``` **Alternative: Google Cloud Platform:** ``` Compute: Cloud Run containers Database: Cloud SQL PostgreSQL Cache: Memorystore for Redis Storage: Cloud Storage CDN: Cloud CDN Load Balancer: Cloud Load Balancing ``` **Infrastructure Constraints:** - **Region:** EU-West (Ireland) for GDPR compliance - **Backup:** Daily automated backups with 30-day retention - **Disaster Recovery:** Cross-AZ deployment, <4 hour RTO - **Security:** VPC isolation, WAF protection, DDoS mitigation ### Data Storage Requirements **Weather Data Volume Estimates:** - **Locations:** ~500 Scottish mountains - **Updates:** 4 times daily per location - **Data retention:** 2 years of historical data - **Growth rate:** ~100MB/month new data - **Total storage:** ~5GB database, ~20GB with indexes and backups **Database Schema Constraints:** - **Weather data:** Time-series optimized (TimescaleDB hypertables) - **Location data:** Spatial indexes for proximity queries - **User data:** Minimal storage, encrypted preferences only - **Backups:** Point-in-time recovery capability ## Security & Privacy Constraints ### Data Protection Requirements **GDPR Compliance (EU Users):** - **Data minimization:** Collect only necessary data - **Consent management:** Clear opt-in for location services - **Right to erasure:** Delete user data on request - **Data portability:** Export user preferences in JSON format - **Privacy by design:** Default to most private settings **Data Encryption:** - **In transit:** TLS 1.3 for all API communications - **At rest:** AES-256 encryption for sensitive data - **Keys:** AWS KMS or equivalent key management - **Certificates:** Let's Encrypt with automatic renewal **Authentication & Authorization:** - **API security:** JWT tokens with short expiration - **Rate limiting:** Prevent abuse and DoS attacks - **Input validation:** Sanitize all user inputs - **SQL injection:** Parameterized queries only ### Privacy Constraints **Location Data:** - **Permission:** Explicit user consent required - **Usage:** Only for nearby location suggestions - **Storage:** No persistent location history - **Sharing:** Never shared with third parties **Analytics & Monitoring:** - **Personal data:** No collection of personal identifiers - **Usage tracking:** Anonymized analytics only - **Error reporting:** Crash logs without personal data - **Compliance:** Privacy-focused analytics (e.g., Plausible vs Google Analytics) ## Integration Constraints ### Weather Data Sources **Existing System Integration:** - **weather_scraper.py:** Enhance existing Python scraper - **YAML config:** Maintain current configuration system - **Data format:** Compatible with existing JSON output - **Scheduling:** Keep current 4-hour update cycle **External API Constraints:** - **MWIS:** Free service, no API key, rate limiting unknown - **Met Office:** DataPoint API, requires registration, 5000 calls/day free - **Mountain-Forecast.com:** No official API, scraping only - **OpenWeatherMap:** Current integration maintained **Data Quality Requirements:** - **Accuracy target:** >85% forecast accuracy vs actual conditions - **Freshness:** Maximum 6 hours for safety-critical data - **Reliability:** Graceful degradation when sources unavailable - **Validation:** Cross-source consistency checking ### Third-Party Service Constraints **Maps & Location:** - **iOS:** MapKit for maps, Core Location for GPS - **Android:** Google Maps API (requires billing), Android Location Services - **Web:** Mapbox GL JS (free tier available) - **Offline:** Cache map tiles for essential mountain areas **Push Notifications:** - **iOS:** Apple Push Notification Service (APNs) - **Android:** Firebase Cloud Messaging (FCM) - **Constraints:** iOS requires annual developer program ($99/year) **Crash Reporting & Analytics:** - **Options:** Sentry (error tracking), Mixpanel (privacy-focused analytics) - **Requirements:** GDPR compliant, minimal data collection - **Budget:** <$100/month for production usage ## Development Constraints ### Team & Resource Constraints **Development Team Requirements:** - **Full-stack developer:** Python/FastAPI backend experience - **iOS developer:** Swift/SwiftUI experience required - **Android developer:** Kotlin/Jetpack Compose preferred - **DevOps engineer:** AWS/Docker experience for deployment - **Designer:** Mobile UI/UX with accessibility experience **Timeline Constraints:** - **MVP deadline:** 16 weeks from start - **Beta testing:** 2 weeks before public launch - **App store approval:** Allow 2-4 weeks for review process - **Seasonal factor:** Launch before winter season (September) preferred **Budget Constraints:** - **Infrastructure:** $200-500/month initial costs - **Third-party services:** $100-300/month - **App store fees:** $99/year iOS, $25 one-time Android - **SSL certificates:** Free (Let's Encrypt) - **Total monthly operational cost:** <$1000 ### Development Environment **Code Repository:** - **Git hosting:** GitHub with private repositories - **Branching:** GitFlow with feature branches - **CI/CD:** GitHub Actions for automated testing and deployment - **Code quality:** ESLint/SwiftLint, automated testing required **Testing Requirements:** - **Unit tests:** >80% code coverage - **Integration tests:** Critical user flows covered - **Performance tests:** API response time validation - **Device testing:** Physical devices for both iOS and Android - **Accessibility testing:** VoiceOver and TalkBack compatibility ## Deployment & Operations Constraints ### Deployment Strategy **Backend Deployment:** - **Containerization:** Docker containers for consistency - **Orchestration:** ECS Fargate or Google Cloud Run - **Blue-green deployment:** Zero-downtime updates - **Database migrations:** Automated with rollback capability **Mobile App Deployment:** - **iOS:** TestFlight beta → App Store review → Production - **Android:** Internal testing → Open testing → Production - **Feature flags:** Gradual rollout capability - **Update strategy:** Forced updates for critical security fixes ### Monitoring & Alerting **Application Monitoring:** - **Uptime:** External monitoring (UptimeRobot or similar) - **Performance:** APM with response time tracking - **Errors:** Real-time error alerting with Sentry - **Logs:** Centralized logging with search capability **Business Metrics:** - **User engagement:** Daily/monthly active users - **App performance:** Crash rates, load times - **Weather accuracy:** Forecast vs actual condition tracking - **API usage:** Request patterns and error rates ## Compliance & Legal Constraints ### App Store Requirements **iOS App Store:** - **Content guidelines:** Weather apps generally approved - **Technical requirements:** 64-bit support, privacy labels - **Metadata:** Accurate description, appropriate age rating - **Review time:** 24-48 hours typical, up to 7 days possible **Google Play Store:** - **Policy compliance:** Data safety section required - **Target API:** Must target recent Android API levels - **Content rating:** PEGI/ESRB rating for content - **Review time:** Usually within 24 hours ### Accessibility Requirements **Legal Compliance:** - **UK:** Equality Act 2010 compliance - **EU:** EN 301 549 standard - **US:** Section 508 for government users - **International:** WCAG 2.1 AA standard **Technical Implementation:** - **Screen readers:** VoiceOver (iOS) and TalkBack (Android) support - **Color contrast:** 4.5:1 minimum ratio - **Text size:** Dynamic type support - **Motor accessibility:** 44pt minimum touch targets ## Risk Mitigation ### Technical Risks **Data Source Reliability:** - **Risk:** Weather sources become unavailable - **Mitigation:** Multiple backup sources, graceful degradation - **Monitoring:** Automated source health checking **Performance Degradation:** - **Risk:** App becomes slow under load - **Mitigation:** Performance testing, auto-scaling infrastructure - **Monitoring:** Real-time performance metrics **Security Vulnerabilities:** - **Risk:** Data breaches or service attacks - **Mitigation:** Security audit, penetration testing, monitoring - **Response:** Incident response plan, security patches ### Operational Risks **App Store Rejection:** - **Risk:** Apps rejected for policy violations - **Mitigation:** Follow guidelines strictly, test submission process - **Contingency:** PWA fallback option **GDPR Violations:** - **Risk:** Privacy law non-compliance - **Mitigation:** Privacy by design, legal review - **Monitoring:** Data processing audit trail This technical specification provides a comprehensive foundation for development while acknowledging real-world constraints and limitations.
Constraints are essential. Constraints are not that hard to understand and use.
**Purpose:** Document the intentional constraints that make OpenClawfice easy to use and maintain
In [Day25](./day25-primary-key-and-entity-id.md), we discussed enumerated types (enums). To some extent, enums are also a type of constraint—they limit the values that can be assigned to a specific field to a predefined set.
The concept of a Constraint has many names: constraints, cost functions, factors, probably many others. At the most