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Technical Constraints & Requirements

This document defines the technical constraints, requirements, and architecture decisions for the Scottish Mountain Weather App development.

May 2, 2026
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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.

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