wehub-resource-sync
68 lines
1.7 KiB
TypeScript
68 lines
1.7 KiB
TypeScript
/**
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* Mock weather data tool implementation.
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*
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* TypeScript equivalent of showcase/shared/python/tools/get_weather.py.
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* Uses a simple seed derived from the city name so repeated calls for
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* the same city return consistent results within a session.
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*/
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import { WeatherResult } from "./types";
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const CONDITIONS = [
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"Sunny",
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"Partly Cloudy",
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"Cloudy",
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"Overcast",
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"Light Rain",
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"Heavy Rain",
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"Thunderstorm",
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"Snow",
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"Foggy",
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"Windy",
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];
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/**
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* Simple seeded pseudo-random number generator (mulberry32).
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* Produces deterministic output for a given seed so the same city
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* always returns the same weather within a process lifetime.
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*/
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function seededRandom(seed: number): () => number {
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let t = seed;
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return () => {
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t = (t + 0x6d2b79f5) | 0;
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let v = Math.imul(t ^ (t >>> 15), 1 | t);
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v = (v + Math.imul(v ^ (v >>> 7), 61 | v)) ^ v;
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return ((v ^ (v >>> 14)) >>> 0) / 4294967296;
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};
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}
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function hashString(s: string): number {
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let hash = 0;
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for (let i = 0; i < s.length; i++) {
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hash = (Math.imul(31, hash) + s.charCodeAt(i)) | 0;
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}
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return hash;
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}
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function randInt(rng: () => number, min: number, max: number): number {
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return Math.floor(rng() * (max - min + 1)) + min;
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}
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function randChoice<T>(rng: () => number, arr: T[]): T {
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return arr[Math.floor(rng() * arr.length)];
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}
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export function getWeatherImpl(city: string): WeatherResult {
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const rng = seededRandom(hashString(city.toLowerCase()));
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const temperature = randInt(rng, 20, 95);
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return {
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city,
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temperature,
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humidity: randInt(rng, 30, 90),
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wind_speed: randInt(rng, 2, 30),
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feels_like: temperature + randInt(rng, -5, 5),
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conditions: randChoice(rng, CONDITIONS),
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};
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}
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