generated from me/template-mit
71 lines
2.8 KiB
JavaScript
Executable File
71 lines
2.8 KiB
JavaScript
Executable File
#!/usr/bin/env node
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// 2026-09-12 - Hyperling
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/* Prototype mostly generated by Ask Brave from prompt:
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* node.js script which has 8 location variables including name, lat, lon, and elevation.
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* loops over the locations sending them to open-meteo requesting temperature min and max for 7 days, no hourly.
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* uses units for USA such as fahrenheit, inches, mph.
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* prints the location name and elevation with the average high and low for the week.
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* */
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// Maybe AI is actually getting better than I thought. ;D
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const locations = [
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{ name: "Flagstaff, AZ", lat: 35.1983, lon: -111.6513, elevation: 6903 },
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{ name: "Tucson, AZ", lat: 32.2226, lon: -110.9747, elevation: 2490 },
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{ name: "Prescott, AZ", lat: 34.5400, lon: -112.4685, elevation: 5374 },
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{ name: "Frisco, CO", lat: 39.5744, lon: -106.0975, elevation: 9075 },
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{ name: "Greer, AZ", lat: 34.0100, lon: -109.4587, elevation: 8356 },
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{ name: "Sedona, AZ", lat: 34.8697, lon: -111.7610, elevation: 4350 },
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{ name: "Ehrenberg, AZ", lat: 33.9897, lon: -114.3550, elevation: 333 },
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];
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locations.sort((a, b) => a.elevation - b.elevation);
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const GREEN = "\x1b[32m";
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const RESET = "\x1b[0m";
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function highlight(value, min, max) {
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const n = parseFloat(value);
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return (n >= min && n <= max) ? `${GREEN}${value}${RESET}` : value;
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}
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async function getForecast(loc) {
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const url = new URL("https://api.open-meteo.com/v1/forecast");
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url.searchParams.set("latitude", loc.lat);
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url.searchParams.set("longitude", loc.lon);
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url.searchParams.set("daily", "temperature_2m_max,temperature_2m_min");
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url.searchParams.set("temperature_unit", "fahrenheit");
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url.searchParams.set("precipitation_unit", "inch");
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url.searchParams.set("wind_speed_unit", "mph");
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url.searchParams.set("timezone", "auto");
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url.searchParams.set("forecast_days", "7");
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const res = await fetch(url);
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const data = await res.json();
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const highs = data.daily.temperature_2m_max;
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const lows = data.daily.temperature_2m_min;
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const avgHigh = (highs.reduce((a, b) => a + b, 0) / highs.length).toFixed(1);
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const avgLow = (lows.reduce((a, b) => a + b, 0) / lows.length).toFixed(1);
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return { name: loc.name, elevation: loc.elevation, avgHigh, avgLow };
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}
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(async () => {
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console.log("Location | Elev (ft) | Avg High (°F) | Avg Low (°F)");
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console.log("----------------------+-----------+---------------+------------");
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for (const loc of locations) {
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try {
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const r = await getForecast(loc);
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const hi = highlight(r.avgHigh, 60, 75);
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const lo = highlight(r.avgLow, 40, 55);
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console.log(
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`${r.name.padEnd(20)} | ${String(r.elevation).padStart(9)} | ${hi.padStart(13)} | ${lo.padStart(12)}`
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);
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} catch (e) {
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console.log(`${loc.name}: error – ${e.message}`);
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}
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}
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})();
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