nomadic-weather/prototype.js

#!/usr/bin/env node
"use strict";
// 2026-09-12 - Hyperling
/* Prototype mostly generated by Ask Brave from prompt:
 *   node.js script which has 8 location variables including name, lat, lon, and elevation.
 *   loops over the locations sending them to open-meteo requesting temperature min and max for 7 days, no hourly.
 *   uses units for USA such as fahrenheit, inches, mph.
 *   prints the location name and elevation with the average high and low for the week.
 * */
// Maybe AI is actually getting better than I thought. ;D

/* AI Updates:
 * - highlight highs between 60 and 75, highlight lows between 40 and 55
 * - order locations by elevation ascending
 * */

/* User Updates
 * - fix spacing in table
 * - move temps to be right aligned
 * - send elevation to API
 * - new highlighting function with many other colors
 * - added apparent (feels like)
 * - added args, basically took over the program without any incremental commits
 * */

const yargs = require('yargs/yargs');
const { hideBin } = require('yargs/helpers');

const version = '0.0.1';

const days_fore_max = 16;
const days_fore_default = 12;
const days_past_default =  2;

const argv = yargs(hideBin(process.argv))
  .option('days_fore', {
    alias: 'f',
    describe: 'Set forecast days',
    type: 'number',
    requiresArg: true,
  })
  .option('days_past', {
    alias: 'p',
    describe: 'Set past days',
    type: 'number',
    requiresArg: true,
  })
  .check((argv) => {
    if (argv.f !== undefined && (isNaN(argv.f) || argv.f < 0)) {
      throw new Error('Forecast days must be a non-negative number');
    }
    if (argv.p !== undefined && (isNaN(argv.p) || argv.p < 0)) {
      throw new Error('Past days must be a non-negative number');
    }
    return true;
  })
  //.demandOption(['timeout', 'debug']) // Optional: require these arguments
  .strict()
  .help()
  .version(version)
  .argv
;

function max (value, upper) {
  return (value > upper) ? upper : value;
}
const days_fore = max(argv.hasOwnProperty("days_fore") ? argv.days_fore : days_fore_default, days_fore_max);
const days_past = argv.hasOwnProperty("days_past") ? argv.days_past : days_past_default;

const days = days_fore + days_past;

console.log(`Averaging for ${days} days: ${days_fore} forecasted, ${days_past} past.`);

const locations = [
  //{ name: "Flagstaff, AZ",  lat: 35.1983,  lon: -111.6513, elevation: 6903 },
  //{ name: "Flagstaff: NG",  lat: 35.1983,  lon: -111.6513, elevation: 6931 },
  { name: "Flagstaff: ++",  lat: 35.1983,  lon: -111.6513, elevation: 8200 },
  //{ name: "Tucson, AZ",     lat: 32.2226,  lon: -110.9747, elevation: 2490 },
  //{ name: "Tucson: NG",     lat: 32.2226,  lon: -110.9747, elevation: 2483 },
  //{ name: "Tucson: GV",     lat: 32.2226,  lon: -110.9747, elevation: 2371 },
  { name: "Tucson: ++",     lat: 32.2226,  lon: -110.9747, elevation: 2150 },
  //{ name: "Prescott, AZ",   lat: 34.5400,  lon: -112.4685, elevation: 5374 },
  //{ name: "Prescott: NG",   lat: 34.5400,  lon: -112.4685, elevation: 5496 },
  { name: "Prescott: ++",   lat: 34.5400,  lon: -112.4685, elevation: 6400 },
  //{ name: "Frisco, CO",     lat: 39.5744,  lon: -106.0975, elevation: 9075 },
  //{ name: "Frisco: NG",     lat: 39.5744,  lon: -106.0975, elevation: 9067 },
  { name: "Frisco: ++",     lat: 39.5744,  lon: -106.0975, elevation: 10200 },
  //{ name: "Greer, AZ",      lat: 34.0100,  lon: -109.4587, elevation: 8356 },
  { name: "Greer: ++",      lat: 34.0100,  lon: -109.4587, elevation: 9000 },
  //{ name: "Sedona, AZ",     lat: 34.8697,  lon: -111.7610, elevation: 4350 },
  { name: "Sedona: ++",     lat: 34.8697,  lon: -111.7610, elevation: 4500 },
  { name: "Cottonwood: ++", lat: 34.7392,  lon: -112.0099, elevation: 3600 },
  { name: "Cherry: ++",     lat: 34.5781,  lon: -112.0677, elevation: 5300 },
  //{ name: "Sedona: NG",     lat: 34.8697,  lon: -111.7610, elevation: 4420 },
  //{ name: "Ehrenberg, AZ",  lat: 33.9897,  lon: -114.3550, elevation: 333  },
  { name: "Ehrenberg: ++",  lat: 33.9897,  lon: -114.3550, elevation: 333  },
  { name: "Quartzsite: ++", lat: 33.6763,  lon: -114.2104, elevation: 888  },
];
locations.sort((a, b) => a.elevation - b.elevation);

const RED  = "\x1b[31m";
const GRN  = "\x1b[32m";
const YLW  = "\x1b[33m";
const BLU  = "\x1b[34m";
const MGN  = "\x1b[35m";
const CYN  = "\x1b[36m";
const WHT  = "\x1b[37m";
const RESET  = "\x1b[0m";

function highlight(value, min, max) {
  const n = parseFloat(value);
  return (n >= min && n <= max) ? `${GRN}${value}${RESET}` : value;
}

const pref_high_upper = 75;
const pref_high_lower = 60;
const pref_low_upper = 55;
const pref_low_lower = 40;

const tolerance_light = 10;
const tolerance_heavy = 20;

function check (value, min, max) {
  const n = parseFloat(value);

  var CLR = "";

  if (n >= max + tolerance_heavy)
    CLR = MGN;
  else if (n >= max + tolerance_light)
    CLR = RED;
  else if (n >= max)
    CLR = YLW;
  else if (n <= max && n >= min)
    CLR = GRN;
  else if (n <= min - tolerance_heavy)
    CLR = WHT
  else if (n <= min - tolerance_light)
    CLR = CYN
  else if (n <= min)
    CLR = BLU;
  else
    CLR = RESET;

  return `${CLR}${value}${RESET}`;
  //return (n >= min && n <= max) ? `${GRN}${value}${RESET}` : value;
}

function pad(str, width) {
  const visible = str.replace(/\x1b\[\d+m/g, '').length;
  return ' '.repeat(Math.max(0, width - visible)) + str;
}

async function getForecast(loc) {
  const url = new URL("https://api.open-meteo.com/v1/forecast");
  url.searchParams.set("latitude", loc.lat);
  url.searchParams.set("longitude", loc.lon);
  url.searchParams.set("elevation", loc.elevation * 0.3048);
  url.searchParams.set("daily", "temperature_2m_max,temperature_2m_min,apparent_temperature_max,apparent_temperature_min");
  url.searchParams.set("temperature_unit", "fahrenheit");
  url.searchParams.set("precipitation_unit", "inch");
  url.searchParams.set("wind_speed_unit", "mph");
  url.searchParams.set("timezone", "auto");
  url.searchParams.set("forecast_days", days_fore);
  url.searchParams.set("past_days", days_past);

  const res = await fetch(url);
  const data = await res.json();

  const highs = data.daily.temperature_2m_max;
  const lows  = data.daily.temperature_2m_min;

  const avgHigh = (highs.reduce((a, b) => a + b, 0) / highs.length).toFixed(1);
  const avgLow  = (lows.reduce((a, b) => a + b, 0) / lows.length).toFixed(1);

  const highs2 = data.daily.apparent_temperature_max;
  const lows2 = data.daily.apparent_temperature_min;

  const avgHigh2 = (highs2.reduce((a, b) => a + b, 0) / highs2.length).toFixed(1);
  const avgLow2  = (lows2.reduce((a, b) => a + b, 0) / lows2.length).toFixed(1);

  return { name: loc.name, elevation: loc.elevation, avgHigh, avgLow, avgHigh2, avgLow2 };
}

(async () => {
  console.log("Location              | Elev (ft) | High (°F) | Low (°F) | FeelH (°F) | FeelL (°F)");
  console.log("----------------------+-----------+-----------+----------+------------+------------");

  for (const loc of locations) {
    try {
      const r = await getForecast(loc);
      const hi = check(r.avgHigh, pref_high_lower, pref_high_upper);
      const lo = check(r.avgLow, pref_low_lower, pref_low_upper);
      const hi2 = check(r.avgHigh2, pref_high_lower, pref_high_upper);
      const lo2 = check(r.avgLow2, pref_low_lower, pref_low_upper);
		console.log(
		`${pad(r.name, 21)} | ${pad(String(r.elevation), 9)} | ${pad(hi, 9)} | ${pad(lo, 8)} | ${pad(hi2, 10)} | ${pad(lo2, 10)}`
		);
    } catch (e) {
      console.log(`${loc.name}: error – ${e.message}`);
    }
  }
})();