// Funktion zur Berechnung des monatlichen Belastungsgrades aus Tabelle 9 EFH und Tabelle 11 MFH

import { cubicSplineInterpolation } from "js-interpolate";

let wohneinheiten = 3;

const datasetEinfamilienHausMittlereBelastung = {
  Januar: {
    50: [ 0.557, 0.554, 0.55, 0.543, 0.536, 0.533, 0.531, 0.53, 0.53 ],
    90: [ 0.562, 0.559, 0.555, 0.548, 0.541, 0.538, 0.536, 0.535, 0.535 ],
    130: [ 0.567, 0.563, 0.56, 0.553, 0.545, 0.542, 0.54, 0.539, 0.539 ],
  },
  Februar: {
    50: [ 0.531, 0.527, 0.524, 0.517, 0.51, 0.507, 0.505, 0.504, 0.505 ],
    90: [ 0.536, 0.532, 0.529, 0.522, 0.515, 0.512, 0.51, 0.51, 0.509 ],
    130: [ 0.54, 0.537, 0.533, 0.526, 0.52, 0.516, 0.515, 0.514, 0.513 ],
  },
  "März": {
    50: [ 0.448, 0.445, 0.443, 0.437, 0.431, 0.427, 0.427, 0.426, 0.426 ],
    90: [ 0.453, 0.45, 0.447, 0.441, 0.436, 0.433, 0.431, 0.431, 0.43 ],
    130: [ 0.457, 0.454, 0.451, 0.445, 0.439, 0.435, 0.435, 0.434, 0.434 ],
  },
  April: {
    50: [ 0.317, 0.314, 0.313, 0.308, 0.305, 0.303, 0.302, 0.301, 0.301 ],
    90: [ 0.32, 0.318, 0.316, 0.311, 0.307, 0.306, 0.305, 0.304, 0.304 ],
    130: [ 0.322, 0.32, 0.318, 0.314, 0.31, 0.308, 0.307, 0.307, 0.306 ],
  },
  Mai: {
    50: [ 0.173, 0.172, 0.171, 0.169, 0.166, 0.165, 0.165, 0.165, 0.164 ],
    90: [ 0.175, 0.173, 0.172, 0.17, 0.168, 0.167, 0.166, 0.166, 0.166 ],
    130: [ 0.176, 0.175, 0.174, 0.172, 0.169, 0.168, 0.168, 0.168, 0.167 ],
  },
  Juni: {
    50: [ 0.097, 0.096, 0.096, 0.094, 0.093, 0.092, 0.092, 0.092, 0.092 ],
    90: [ 0.098, 0.097, 0.096, 0.095, 0.094, 0.093, 0.093, 0.093, 0.093 ],
    130: [ 0.098, 0.097, 0.096, 0.095, 0.094, 0.094, 0.094, 0.094, 0.094 ],
  },
  Juli: {
    50: [ 0.029, 0.029, 0.029, 0.029, 0.028, 0.028, 0.028, 0.028, 0.028 ],
    90: [ 0.03, 0.029, 0.029, 0.029, 0.028, 0.028, 0.028, 0.028, 0.028 ],
    130: [ 0.03, 0.03, 0.029, 0.029, 0.028, 0.028, 0.028, 0.028, 0.028 ],
  },
  August: {
    50: [ 0.041, 0.041, 0.041, 0.04, 0.04, 0.04, 0.039, 0.039, 0.039 ],
    90: [ 0.041, 0.041, 0.041, 0.04, 0.04, 0.04, 0.039, 0.039, 0.039 ],
    130: [ 0.042, 0.041, 0.041, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04 ],
  },
  September: {
    50: [ 0.167, 0.166, 0.165, 0.163, 0.161, 0.16, 0.159, 0.159, 0.159 ],
    90: [ 0.169, 0.168, 0.167, 0.164, 0.162, 0.161, 0.161, 0.161, 0.16 ],
    130: [ 0.17, 0.169, 0.168, 0.166, 0.164, 0.163, 0.162, 0.162, 0.162 ],
  },
  Oktober: {
    50: [ 0.308, 0.306, 0.304, 0.3, 0.296, 0.294, 0.293, 0.293, 0.293 ],
    90: [ 0.311, 0.309, 0.307, 0.303, 0.299, 0.297, 0.296, 0.296, 0.295 ],
    130: [ 0.313, 0.311, 0.309, 0.305, 0.301, 0.3, 0.299, 0.298, 0.298 ],
  },
  November: {
    50: [ 0.466, 0.463, 0.46, 0.454, 0.448, 0.445, 0.444, 0.443, 0.443 ],
    90: [ 0.471, 0.467, 0.465, 0.459, 0.453, 0.45, 0.448, 0.448, 0.447 ],
    130: [ 0.474, 0.471, 0.469, 0.462, 0.456, 0.454, 0.453, 0.451, 0.451 ],
  },
  Dezember: {
    50: [ 0.56, 0.557, 0.553, 0.546, 0.539, 0.536, 0.534, 0.533, 0.533 ],
    90: [ 0.565, 0.562, 0.558, 0.551, 0.544, 0.54, 0.539, 0.538, 0.537 ],
    130: [ 0.57, 0.566, 0.563, 0.555, 0.548, 0.545, 0.543, 0.542, 0.542 ],
  },
}

const datasetMehrfamilienHausMittlereBelastung = {
  Januar: {
    50: [0.575, 0.574, 0.573, 0.570, 0.567, 0.566, 0.566, 0.565, 0.565],
    90: [0.578, 0.577, 0.575, 0.573, 0.570, 0.569, 0.568, 0.568, 0.568],
    130: [0.580, 0.579, 0.578, 0.575, 0.572, 0.571, 0.571, 0.570, 0.570],
  },
  Februar: {
    50: [0.548, 0.547, 0.546, 0.543, 0.541, 0.539, 0.539, 0.538, 0.538],
    90: [0.551, 0.549, 0.548, 0.546, 0.543, 0.542, 0.541, 0.541, 0.541],
    130: [0.553, 0.552, 0.550, 0.548, 0.545, 0.544, 0.543, 0.543, 0.543],
  },
  März: {
    50: [0.463, 0.462, 0.461, 0.459, 0.457, 0.456, 0.455, 0.455, 0.455],
    90: [0.465, 0.464, 0.463, 0.461, 0.459, 0.458, 0.458, 0.457, 0.457],
    130: [0.467, 0.466, 0.465, 0.463, 0.461, 0.460, 0.459, 0.459, 0.459],
  },
  April: {
    50: [0.327, 0.326, 0.326, 0.324, 0.323, 0.322, 0.321, 0.321, 0.321],
    90: [0.329, 0.328, 0.327, 0.326, 0.324, 0.323, 0.323, 0.323, 0.323],
    130: [0.330, 0.329, 0.328, 0.327, 0.325, 0.325, 0.324, 0.324, 0.324],
  },
  Mai: {
    50: [0.179, 0.178, 0.178, 0.177, 0.176, 0.176, 0.176, 0.176, 0.175],
    90: [0.179, 0.179, 0.179, 0.178, 0.177, 0.177, 0.176, 0.176, 0.176],
    130: [0.180, 0.180, 0.179, 0.179, 0.178, 0.177, 0.177, 0.177, 0.177],
  },
  Juni: {
    50: [0.100, 0.100, 0.099, 0.099, 0.099, 0.098, 0.098, 0.098, 0.098],
    90: [0.100, 0.100, 0.100, 0.099, 0.099, 0.099, 0.099, 0.099, 0.099],
    130: [0.101, 0.101, 0.100, 0.100, 0.099, 0.099, 0.099, 0.099, 0.099],
  },
  Juli: {
    50: [0.030, 0.030, 0.030, 0.030, 0.030, 0.030, 0.030, 0.030, 0.030],
    90: [0.030, 0.030, 0.030, 0.030, 0.030, 0.030, 0.030, 0.030, 0.030],
    130: [0.031, 0.030, 0.030, 0.030, 0.030, 0.030, 0.030, 0.030, 0.030],
  },
  August: {
    50: [0.042, 0.042, 0.042, 0.042, 0.042, 0.042, 0.042, 0.042, 0.042],
    90: [0.043, 0.042, 0.042, 0.042, 0.042, 0.042, 0.042, 0.042, 0.042],
    130: [0.043, 0.043, 0.043, 0.042, 0.042, 0.042, 0.042, 0.042, 0.042],
  },
  September: {
    50: [0.173, 0.172, 0.172, 0.171, 0.170, 0.170, 0.170, 0.170, 0.170],
    90: [0.173, 0.173, 0.173, 0.172, 0.171, 0.171, 0.170, 0.170, 0.170],
    130: [0.174, 0.174, 0.173, 0.173, 0.172, 0.171, 0.171, 0.171, 0.171],
  },
  Oktober: {
    50: [0.318, 0.317, 0.317, 0.315, 0.314, 0.313, 0.313, 0.312, 0.312],
    90: [0.319, 0.319, 0.318, 0.317, 0.315, 0.314, 0.314, 0.314, 0.314],
    130: [0.321, 0.320, 0.319, 0.318, 0.316, 0.316, 0.315, 0.315, 0.315],
  },
  November: {
    50: [0.481, 0.480, 0.479, 0.477, 0.475, 0.474, 0.473, 0.473, 0.473],
    90: [0.484, 0.483, 0.482, 0.479, 0.477, 0.476, 0.476, 0.475, 0.475],
    130: [0.486, 0.485, 0.484, 0.481, 0.479, 0.478, 0.477, 0.477, 0.477],
  },
  Dezember: {
    50: [0.578, 0.577, 0.576, 0.573, 0.570, 0.569, 0.569, 0.568, 0.568],
    90: [0.581, 0.580, 0.578, 0.576, 0.573, 0.572, 0.571, 0.571, 0.571],
    130: [0.583, 0.582, 0.581, 0.578, 0.575, 0.574, 0.574, 0.573, 0.573],
  },
};

function getDatasetBelastung(wohneinheiten: number) {
  if (wohneinheiten < 3) {
    return datasetEinfamilienHausMittlereBelastung;
  } else {
    return datasetMehrfamilienHausMittlereBelastung;
  }
}

const dataset = getDatasetBelastung(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 funktionMonatlicherBelastungsgrad(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 interpolated = cubicSplineInterpolation(
			values.map((value, i) => ({ x: HeizLast[i], y: value })),
			heizlast
		)

		interpolations.push(interpolated)
	}

	const interpolated = cubicSplineInterpolation(
		interpolations.map((interpolation, i) => {
			return {
				x: Object.keys(data)[i],
				y: interpolation
			}
		}),
		zeitkonstane
	)

	return interpolated
}