126 lines
4.9 KiB
TypeScript
126 lines
4.9 KiB
TypeScript
import * as moment from "moment-timezone";
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import { GeoCoordinates, WateringData, WeatherData } from "../../types";
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import { httpJSONRequest } from "../weather";
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import { WeatherProvider } from "./WeatherProvider";
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export default class DarkSkyWeatherProvider extends WeatherProvider {
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private readonly API_KEY: string;
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public constructor() {
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super();
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this.API_KEY = process.env.DARKSKY_API_KEY;
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if (!this.API_KEY) {
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throw "DARKSKY_API_KEY environment variable is not defined.";
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}
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}
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public async getWateringData( coordinates: GeoCoordinates ): Promise< WateringData > {
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// The Unix timestamp of 24 hours ago.
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const yesterdayTimestamp: number = moment().subtract( 1, "day" ).unix();
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const todayTimestamp: number = moment().unix();
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const yesterdayUrl = `https://api.darksky.net/forecast/${ this.API_KEY }/${ coordinates[ 0 ] },${ coordinates[ 1 ] },${ yesterdayTimestamp }?exclude=currently,minutely,daily,alerts,flags`,
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todayUrl = `https://api.darksky.net/forecast/${ this.API_KEY }/${ coordinates[ 0 ] },${ coordinates[ 1 ] },${ todayTimestamp }?exclude=currently,minutely,daily,alerts,flags`;
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let yesterdayData, todayData;
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try {
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yesterdayData = await httpJSONRequest( yesterdayUrl );
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todayData = await httpJSONRequest( todayUrl );
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} catch ( err ) {
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console.error( "Error retrieving weather information from Dark Sky:", err );
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throw "An error occurred while retrieving weather information from Dark Sky."
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}
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if ( !todayData.hourly || !todayData.hourly.data || !yesterdayData.hourly || !yesterdayData.hourly.data ) {
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throw "Necessary field(s) were missing from weather information returned by Dark Sky.";
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}
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/* The number of hourly forecasts to use from today's data. This will only include elements that contain historic
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data (not forecast data). */
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// Find the first element that contains forecast data.
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const todayElements = Math.min( 24, todayData.hourly.data.findIndex( ( data ) => data.time > todayTimestamp - 60 * 60 ) );
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/* Take as much data as possible from the first elements of today's data and take the remaining required data from
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the remaining data from the last elements of yesterday's data. */
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const samples = [
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...yesterdayData.hourly.data.slice( todayElements - 24 ),
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...todayData.hourly.data.slice( 0, todayElements )
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];
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// Fail if not enough data is available.
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if ( samples.length !== 24 ) {
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throw "Insufficient data was returned by Dark Sky.";
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}
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const totals = { temp: 0, humidity: 0, precip: 0 };
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for ( const sample of samples ) {
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/*
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* If temperature or humidity is missing from a sample, the total will become NaN. This is intended since
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* calculateWateringScale will treat NaN as a missing value and temperature/humidity can't be accurately
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* calculated when data is missing from some samples (since they follow diurnal cycles and will be
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* significantly skewed if data is missing for several consecutive hours).
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*/
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totals.temp += sample.temperature;
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totals.humidity += sample.humidity;
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// This field may be missing from the response if it is snowing.
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totals.precip += sample.precipIntensity || 0;
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}
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return {
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weatherProvider: "DarkSky",
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temp: totals.temp / 24,
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humidity: totals.humidity / 24 * 100,
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precip: totals.precip,
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raining: samples[ samples.length - 1 ].precipIntensity > 0
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};
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}
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public async getWeatherData( coordinates: GeoCoordinates ): Promise< WeatherData > {
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const forecastUrl = `https://api.darksky.net/forecast/${ this.API_KEY }/${ coordinates[ 0 ] },${ coordinates[ 1 ] }?exclude=minutely,alerts,flags`;
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let forecast;
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try {
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forecast = await httpJSONRequest( forecastUrl );
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} catch ( err ) {
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console.error( "Error retrieving weather information from Dark Sky:", err );
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throw "An error occurred while retrieving weather information from Dark Sky."
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}
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if ( !forecast.currently || !forecast.daily || !forecast.daily.data ) {
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throw "Necessary field(s) were missing from weather information returned by Dark Sky.";
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}
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const weather: WeatherData = {
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weatherProvider: "DarkSky",
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temp: Math.floor( forecast.currently.temperature ),
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humidity: Math.floor( forecast.currently.humidity * 100 ),
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wind: Math.floor( forecast.currently.windSpeed ),
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description: forecast.currently.summary,
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// TODO set this
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icon: "",
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region: "",
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city: "",
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minTemp: Math.floor( forecast.daily.data[ 0 ].temperatureMin ),
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maxTemp: Math.floor( forecast.daily.data[ 0 ].temperatureMax ),
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precip: forecast.daily.data[ 0 ].precipIntensity * 24,
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forecast: []
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};
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for ( let index = 0; index < forecast.daily.data.length; index++ ) {
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weather.forecast.push( {
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temp_min: Math.floor( forecast.daily.data[ index ].temperatureMin ),
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temp_max: Math.floor( forecast.daily.data[ index ].temperatureMax ),
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date: forecast.daily.data[ index ].time,
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// TODO set this
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icon: "",
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description: forecast.daily.data[ index ].summary
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} );
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}
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return weather;
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}
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}
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