fix: better example

README.md

@@ -11,6 +11,13 @@ This ia an API client to get weather data from the [Open-Meteo Weather API](http
 
 Instead of using JSON, the API client uses FlatBuffers to transfer data. Encoding data in FlatBuffers is more efficient for long time-series data. The schema definition files can be found on [GitHub open-meteo/sdk](https://github.com/open-meteo/sdk).
 
+Features:
+- Simple access to weather data
+- Get weather data for multiple locations in one call
+- Automatic retry on error
+- Reduced bandwidth and fast parsing using FlatBuffers and Zero Copy
+- Type annotated
+
 ## Install
 
 ```bash
@@ -25,17 +32,61 @@ import { fetchWeatherApi } from 'openmeteo';
 const params = {
  latitude: [52.54],
  longitude: [13.41],
- hourly: ['temperature_2m', 'precipitation'],
+ current: 'temperature_2m,weather_code,wind_speed_10m,wind_direction_10m',
+ hourly: 'temperature_2m,precipitation',
+ daily: 'weather_code,temperature_2m_max,temperature_2m_min'
 };
 const url = 'https://api.open-meteo.com/v1/forecast';
 const responses = await fetchWeatherApi(url, params);
 
+// Helper function to form time range
+export const range = (start: number, stop: number, step: number) =>
+ Array.from({ length: (stop - start) / step }, (_, i) => start + i * step);
+
 // Process first location. Add a for-loop for multiple locations or weather models
 const response = responses[0];
 
+// Attributes for timezone and location
+const utcOffsetSeconds = response.utcOffsetSeconds();
+const timezone = response.timezone();
+const timezoneAbbreviation = response.timezoneAbbreviation();
+const latitude = response.latitude();
+const longitude = response.longitude();
+
+const current = response.current()!;
 const hourly = response.hourly()!;
-const temperature_2m = hourly.variables(0)!.valuesArray();
-const precipitation = hourly.variables(1)!.valuesArray();
+const daily = response.daily()!;
+
+// Note: The order of weather variables in the URL query and the indices below need to match!
+const weatherData = {
+ current: {
+ time: new Date((Number(current.time()) + utcOffsetSeconds) * 1000),
+ temperature: current.variables(0)!.value(), // Current is only 1 value, therefore `.value()`
+ weatherCode: current.variables(1)!.value(),
+ windSpeed: current.variables(2)!.value(),
+ windDirection: current.variables(3)!.value()
+ },
+ hourly: {
+ time: range(Number(hourly.time()), Number(hourly.timeEnd()), hourly.interval()).map(
+ (t) => new Date((t + utcOffsetSeconds) * 1000)
+ ),
+ temperature: hourly.variables(0)!.valuesArray()!, // `.valuesArray()` get an array of floats
+ precipitation: hourly.variables(1)!.valuesArray()!,
+ },
+ daily: {
+ time: range(Number(daily.time()), Number(daily.timeEnd()), daily.interval()).map(
+ (t) => new Date((t + utcOffsetSeconds) * 1000)
+ ),
+ weatherCode: daily.variables(0)!.valuesArray()!,
+ temperatureMax: daily.variables(1)!.valuesArray()!,
+ temperatureMin: daily.variables(2)!.valuesArray()!,
+ }
+};
+
+// `weatherData` now contains a simple structure with arrays for datetime and weather data
+for (let i = 0; i < daily.time.length; i++) {
+ console.log(daily.time[i].toISOString(), daily.weatherCode[i], daily.temperatureMax[i], daily.temperatureMin[i]);
+}
 ```