How to Integrate yrWeather into Your Weather App
Overview
This guide shows a clear, step-by-step approach to integrating yrWeather into a weather app. It covers authentication, requesting forecasts, parsing responses, caching, error handling, and example code for common platforms. Assumed stack: REST API access to yrWeather JSON endpoints; adapt as needed.
1. Plan your integration
- Data needed: current conditions, hourly forecast, daily forecast, alerts, locations.
- Update frequency: current conditions every 5–15 minutes; hourly forecasts every 30–60 minutes; daily once per hour.
- Rate limits & quotas: assume limits—use caching and backoff.
- User experience: decide on offline behavior, error messages, and permission prompts for location.
2. Authentication & endpoints
- API key: obtain a key if required by yrWeather.
- Endpoints: typical endpoints you’ll use:
- GET /v1/current?lat={lat}&lon={lon}
- GET /v1/hourly?lat={lat}&lon={lon}&hours={n}
- GET /v1/daily?lat={lat}&lon={lon}&days={n}
- GET /v1/alerts?lat={lat}&lon={lon}
(Adjust paths per yrWeather’s docs.)
3. Requesting data
- HTTP client: use stable libraries (fetch, axios, NSURLSession, OkHttp).
- Example REST call (pseudocode):
Code
GET https://api.yrweather.example/v1/hourly?lat=59.91&lon=10.75&hours=48 Headers: Authorization: Bearer YOUR_API_KEY
- Query params: units (metric/imperial), language, timezone.
4. Parsing responses
- Map JSON fields to your app models: timestamp, temp, feels_like, wind_speed, wind_dir, precipitation, icon_code, description.
- Convert timestamps to user’s timezone; normalize units.
Example model (fields):
- time (ISO8601)
- temp_c
- wind_kph
- precip_mm
- icon_code
- summary
5. Caching & rate limiting
- Short-term cache: store current/hourly responses for 5–15 minutes.
- Long-term cache: daily forecasts for 30–60 minutes.
- ETag/If-None-Match: use conditional requests to reduce bandwidth.
- Backoff: exponential backoff on 429/5xx responses.
6. Error handling & fallbacks
- Show cached data if network fails.
- Display friendly messages for permission denied, offline, or API errors.
- Implement retry with jitter for transient errors.
- Monitor API error rates and log analytics.
7. Icons & visualization
- Use yrWeather icon set if provided; otherwise map icon_code to your assets.
- Animate transitions between states (sunny→cloudy→rain).
- Show precipitation probability bars for hourly view and confidence ranges for daily highs/lows.
8. Location management
- Use device geolocation with permission prompts.
- Provide manual search by city/ZIP coordinates.
- Reverse geocode coordinates to display place names.
9. Notifications & alerts
- Subscribe to alerts endpoint and schedule local push notifications for severe weather.
- Throttle notifications to avoid spamming.
10. Testing & monitoring
- Test across timezones and DST transitions.
- Validate parsing with mocked API responses: empty fields, nulls, new enum values.
- Monitor latency, error rates, and API usage.
11. Example implementations
- Web (JavaScript): fetch + cache in IndexedDB/localStorage; render with React.
- iOS (Swift): URLSession, Codable models, background fetch for updates.
- Android (Kotlin): Retrofit + Coroutine + Room for caching.
12. Quick checklist before release
- API key securely stored (not in source).
- Caching & backoff implemented.
- Graceful offline mode.
- Unit tests for parsing and timezone handling.
- Accessibility for color/contrast in icons.
If you want, I can generate sample request/response JSON and a complete code example for one platform (specify: JavaScript, Swift, or Kotlin).
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