Use rolling 24 hour window for watering scale

This commit is contained in:
Matthew Oslan
2019-05-20 16:34:26 -04:00
parent e3c7c74e29
commit d58e48293d

View File

@@ -5,25 +5,52 @@ import { httpJSONRequest } from "../weather";
async function getDarkSkyWateringData( coordinates: GeoCoordinates ): Promise< WateringData > {
// The Unix timestamp of 24 hours ago.
const timestamp: number = moment().subtract( 1, "day" ).unix();
const yesterdayTimestamp: number = moment().subtract( 1, "day" ).unix();
const todayTimestamp: number = moment().unix();
const DARKSKY_API_KEY = process.env.DARKSKY_API_KEY,
historicUrl = `https://api.darksky.net/forecast/${DARKSKY_API_KEY}/${coordinates[0]},${coordinates[1]},${timestamp}`;
yesterdayUrl = `https://api.darksky.net/forecast/${DARKSKY_API_KEY}/${coordinates[0]},${coordinates[1]},${yesterdayTimestamp}?exclude=currently,minutely,daily,alerts,flags`,
todayUrl = `https://api.darksky.net/forecast/${DARKSKY_API_KEY}/${coordinates[0]},${coordinates[1]},${todayTimestamp}?exclude=currently,minutely,daily,alerts,flags`;
let historicData;
let yesterdayData, todayData;
try {
historicData = await httpJSONRequest( historicUrl );
yesterdayData = await httpJSONRequest( yesterdayUrl );
todayData = await httpJSONRequest( todayUrl );
} catch (err) {
// Indicate watering data could not be retrieved if an API error occurs.
return undefined;
}
if ( !todayData.hourly || !todayData.hourly.data || !yesterdayData.hourly || !yesterdayData.hourly.data ) {
return undefined;
}
// Fail if not enough data is available.
if ( yesterdayData.hourly.data.length + todayData.hourly.data.length < 24 ) {
return undefined;
}
const totals = { temp: 0, humidity: 0, precip: 0 };
// Sum data from the current calendar day.
const todayPeriods = Math.min( 24, todayData.hourly.data.length );
for ( let index = todayPeriods - 1; index >= 0; index-- ) {
totals.temp += todayData.hourly.data[ index ].temperature;
totals.humidity += todayData.hourly.data[ index ].humidity;
totals.precip += todayData.hourly.data[ index ].precipIntensity
}
// Sum data from yesterday.
for ( let index = 24 - todayPeriods - 1; index >= 0; index-- ) {
totals.temp += yesterdayData.hourly.data[ index ].temperature;
totals.humidity += yesterdayData.hourly.data[ index ].humidity;
totals.precip += yesterdayData.hourly.data[ index ].precipIntensity
}
return {
// Calculate average temperature for the day using hourly data.
temp : historicData.hourly.data.reduce( ( sum, hourlyData ) => sum + hourlyData.temperature, 0 ) / historicData.hourly.data.length,
humidity: historicData.daily.data[ 0 ].humidity * 100,
precip: historicData.daily.data[ 0 ].precipIntensity * 24,
raining: historicData.currently.precipType === "rain"
temp : totals.temp / 24,
humidity: totals.humidity / 24 * 100,
precip: totals.precip,
raining: todayData.hourly.data[ todayData.hourly.data.length - 1 ].precipIntensity > 0
};
}