// Funktion zur Berechnung der Bilanzinnentemperatur aus Tabelle 8 EFH oder Tabelle 10 MFH

import { nevillePolynomialInterpolation } from "js-interpolate";
import { any } from "node_modules/cypress/types/bluebird/index.js";

// aus Eingabeformular
let wohneinheiten = 3;

const datasetEinfamilienHaus = {
    Januar: {
      50: [18.83, 18.71, 18.61, 18.38, 18.16, 18.05, 17.99, 17.97, 17.95],
      90: [18.99, 18.87, 18.77, 18.54, 18.31, 18.20, 18.15, 18.12, 18.11],
      130: [19.14, 19.02, 18.92, 18.68, 18.45, 18.34, 18.29, 18.26, 18.25],
    },
    Februar: {
      50: [18.88, 18.76, 18.67, 18.44, 18.23, 18.13, 18.08, 18.05, 18.04],
      90: [19.04, 18.93, 18.83, 18.60, 18.39, 18.29, 18.23, 18.21, 18.20],
      130: [19.18, 19.07, 18.97, 18.74, 18.53, 18.42, 18.37, 18.34, 18.33],
    },
    März: {
      50: [19.05, 18.95, 18.87, 18.68, 18.50, 18.42, 18.37, 18.35, 18.34],
      90: [19.19, 19.09, 19.01, 18.82, 18.64, 18.55, 18.51, 18.49, 18.48],
      130: [19.31, 19.21, 19.13, 18.94, 18.75, 18.67, 18.62, 18.60, 18.59],
    },
    April: {
      50: [19.33, 19.26, 19.20, 19.07, 18.94, 18.88, 18.85, 18.84, 18.83],
      90: [19.43, 19.36, 19.30, 19.17, 19.04, 18.98, 18.95, 18.93, 18.92],
      130: [19.51, 19.44, 19.38, 19.25, 19.12, 19.06, 19.03, 19.01, 19.00],
    },
    Mai: {
      50: [19.63, 19.60, 19.56, 19.49, 19.42, 19.39, 19.37, 19.36, 19.36],
      90: [19.69, 19.65, 19.62, 19.55, 19.48, 19.44, 19.42, 19.42, 19.41],
      130: [19.73, 19.70, 19.66, 19.59, 19.52, 19.49, 19.47, 19.46, 19.46],
    },
    Juni: {
      50: [19.80, 19.77, 19.76, 19.72, 19.68, 19.66, 19.65, 19.64, 19.64],
      90: [19.83, 19.80, 19.79, 19.75, 19.71, 19.69, 19.68, 19.67, 19.67],
      130: [19.85, 19.83, 19.81, 19.77, 19.73, 19.71, 19.70, 19.70, 19.70],
    },
    Juli: {
      50: [19.94, 19.93, 19.93, 19.91, 19.90, 19.90, 19.89, 19.89, 19.89],
      90: [19.95, 19.94, 19.94, 19.92, 19.91, 19.91, 19.90, 19.90, 19.90],
      130: [19.95, 19.95, 19.94, 19.93, 19.92, 19.91, 19.91, 19.91, 19.91],
    },
    August: {
      50: [19.91, 19.90, 19.90, 19.88, 19.86, 19.86, 19.85, 19.85, 19.85],
      90: [19.93, 19.92, 19.91, 19.89, 19.88, 19.87, 19.86, 19.86, 19.86],
      130: [19.94, 19.93, 19.92, 19.90, 19.89, 19.88, 19.87, 19.87, 19.87],
    },
    September: {
      50: [19.65, 19.61, 19.58, 19.51, 19.44, 19.41, 19.39, 19.39, 19.38],
      90: [19.70, 19.66, 19.63, 19.56, 19.49, 19.46, 19.44, 19.44, 19.43],
      130: [19.74, 19.71, 19.68, 19.60, 19.54, 19.50, 19.49, 19.48, 19.47],
    },
    Oktober: {
      50: [19.35, 19.28, 19.23, 19.10, 18.97, 18.91, 18.88, 18.87, 18.86],
      90: [19.44, 19.38, 19.32, 19.19, 19.07, 19.01, 18.98, 18.96, 18.95],
      130: [19.53, 19.46, 19.40, 19.27, 19.15, 19.08, 19.05, 19.04, 19.03],
    },
    November: {
      50: [19.01, 18.91, 18.83, 18.63, 18.45, 18.35, 18.31, 18.29, 18.28],
      90: [19.16, 19.06, 18.97, 18.77, 18.59, 18.49, 18.45, 18.43, 18.42],
      130: [19.28, 19.18, 19.09, 18.90, 18.71, 18.61, 18.57, 18.55, 18.53],
    },
    Dezember: {
      50: [18.83, 18.71, 18.61, 18.38, 18.15, 18.04, 17.99, 17.96, 17.95],
      90: [18.99, 18.87, 18.76, 18.53, 18.30, 18.19, 18.14, 18.11, 18.10],
      130: [19.14, 19.02, 18.91, 18.67, 18.45, 18.33, 18.28, 18.25, 18.24],
    },
  };
  
  const datasetMehrfamilienHaus = {
    Januar: {
      50: [19.41, 19.37, 19.33, 19.24, 19.16, 19.12, 19.10, 19.09, 19.08],
      90: [19.50, 19.45, 19.41, 19.33, 19.24, 19.20, 19.18, 19.17, 19.17],
      130: [19.57, 19.53, 19.49, 19.40, 19.32, 19.28, 19.26, 19.25, 19.24],
    },
    Februar: {
      50: [19.44, 19.40, 19.36, 19.28, 19.20, 19.16, 19.14, 19.13, 19.13],
      90: [19.52, 19.48, 19.44, 19.36, 19.28, 19.24, 19.22, 19.21, 19.21],
      130: [19.59, 19.55, 19.51, 19.43, 19.35, 19.31, 19.29, 19.28, 19.28],
    },
    März: {
      50: [19.53, 19.49, 19.46, 19.39, 19.32, 19.29, 19.27, 19.27, 19.26],
      90: [19.60, 19.56, 19.53, 19.46, 19.39, 19.36, 19.34, 19.33, 19.33],
      130: [19.66, 19.62, 19.59, 19.52, 19.45, 19.42, 19.40, 19.39, 19.39],
    },
    April: {
      50: [19.66, 19.64, 19.62, 19.57, 19.52, 19.50, 19.49, 19.48, 19.48],
      90: [19.71, 19.69, 19.67, 19.62, 19.57, 19.55, 19.54, 19.53, 19.53],
      130: [19.76, 19.73, 19.71, 19.66, 19.61, 19.59, 19.58, 19.57, 19.57],
    },
    Mai: {
      50: [19.82, 19.80, 19.79, 19.76, 19.74, 19.73, 19.72, 19.72, 19.72],
      90: [19.84, 19.83, 19.82, 19.79, 19.77, 19.75, 19.75, 19.74, 19.74],
      130: [19.87, 19.85, 19.84, 19.81, 19.79, 19.78, 19.77, 19.77, 19.76],
    },
    Juni: {
      50: [19.90, 19.89, 19.88, 19.87, 19.85, 19.85, 19.84, 19.84, 19.84],
      90: [19.91, 19.91, 19.90, 19.88, 19.87, 19.86, 19.86, 19.86, 19.86],
      130: [19.93, 19.92, 19.91, 19.90, 19.88, 19.87, 19.87, 19.87, 19.87],
    },
    Juli: {
      50: [19.97, 19.97, 19.96, 19.96, 19.96, 19.95, 19.95, 19.95, 19.95],
      90: [19.97, 19.97, 19.97, 19.96, 19.96, 19.96, 19.96, 19.96, 19.96],
      130: [19.98, 19.98, 19.97, 19.97, 19.96, 19.96, 19.96, 19.96, 19.96],
    },
    August: {
      50: [19.96, 19.95, 19.95, 19.94, 19.94, 19.93, 19.93, 19.93, 19.93],
      90: [19.96, 19.96, 19.96, 19.95, 19.94, 19.94, 19.94, 19.94, 19.94],
      130: [19.97, 19.97, 19.96, 19.96, 19.95, 19.95, 19.95, 19.94, 19.94],
    },
    September: {
      50: [19.82, 19.81, 19.80, 19.77, 19.75, 19.74, 19.73, 19.73, 19.73],
      90: [19.85, 19.84, 19.82, 19.80, 19.77, 19.76, 19.76, 19.75, 19.75],
      130: [19.87, 19.86, 19.85, 19.82, 19.80, 19.78, 19.78, 19.77, 19.77],
    },
    Oktober: {
      50: [19.67, 19.65, 19.63, 19.58, 19.53, 19.51, 19.50, 19.50, 19.49],
      90: [19.72, 19.70, 19.68, 19.63, 19.58, 19.56, 19.55, 19.54, 19.54],
      130: [19.76, 19.74, 19.72, 19.67, 19.62, 19.60, 19.59, 19.58, 19.58],
    },
    November: {
      50: [19.51, 19.47, 19.44, 19.36, 19.30, 19.26, 19.25, 19.24, 19.23],
      90: [19.58, 19.54, 19.51, 19.44, 19.37, 19.33, 19.32, 19.31, 19.30],
      130: [19.64, 19.60, 19.57, 19.50, 19.43, 19.39, 19.38, 19.37, 19.37],
    },
    Dezember: {
      50: [19.41, 19.36, 19.32, 19.24, 19.15, 19.11, 19.09, 19.08, 19.08],
      90: [19.49, 19.45, 19.41, 19.32, 19.24, 19.20, 19.18, 19.17, 19.16],
      130: [19.57, 19.52, 19.49, 19.40, 19.31, 19.27, 19.25, 19.24, 19.24],
    },
  };
  
  function getDataset(wohneinheiten: number) {
    if (wohneinheiten < 3) {
      return datasetEinfamilienHaus;
    } else {
      return datasetMehrfamilienHaus;
    }
  }
  
  const dataset = getDataset(wohneinheiten);

// Für "Ohne Teilbeheizung" habe ich hier einfach 0 eingesetzt:
const HeizLast = [0, 5, 10, 25, 50, 75, 100, 125, 150];

// Um über die beiden Tabellen zu interpolieren können wir einfach zuerst über
// jede einzeln interpolieren und dann zwischen den Tabellen interpolieren.
// Falls wir also den Wert an Stelle Heizlast: 120, Zeitkonstante 100, Monat:
// Januar haben wollen:
export function funktionBilanzInnentemperatur(heizlast: number, zeitkonstane: number, monat: keyof typeof dataset) {
	const data = dataset[monat]

	const interpolations: number[] = []

	for (const key in data) {
		const values = data[key as unknown as keyof typeof data]

		const interpolate = nevillePolynomialInterpolation(
			values.map((value, i) => ({ x: HeizLast[i], y: value })),
			values.length
		)

		interpolations.push(interpolate(heizlast))
	}

	const interpolate = nevillePolynomialInterpolation(
		interpolations.map((interpolation, i) => {
			return {
				x: Object.keys(data)[i],
				y: interpolation
			}
		}),
		interpolations.length
	)

	return interpolate(zeitkonstane)
}

console.log(funktionBilanzInnentemperatur(120, 100, "Januar"))