322 lines
10 KiB
JavaScript
322 lines
10 KiB
JavaScript
const _ = require('lodash')
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const moment = require("moment")
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const getClimateMinMax = require("./getClimateMinMax.js")
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const scorer = require('./score')
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const getRegions = require('../models/getRegions.js')
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const SHOW_ALL_SCOREOBJECTS = false
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const SETTINGS = {
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temperature_mean_max: [4.5, 'easeOut', 2],
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precipitation: [4, 'easeInOut', 2],
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rain_days: [2, 'easeInOut', 2],
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sun_hours: [3.6, 'easeInOut', 2],
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accommodation_costs: [17, 'linear', null],
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food_costs: [4, 'linear', null],
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alcohol_costs: [4, 'linear', null],
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water_costs: [10, 'linear', null],
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local_transportation_costs: [5, 'linear', null],
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entertainment_costs: [5, 'easeInOut', 0.6],
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average_per_day_costs: [5, 'linear', null],
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avg_price_relative: [3, 'easeOut', 2],
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}
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module.exports = async function (data, from, to, q) {
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console.log('search')
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console.log(q)
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if ((_.isNil(to) || _.isNil(from)) && !(_.isEmpty(q.climate) || _.isEmpty(q.costs) || _.isEmpty(q.others))) {
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throw new Error('invalid query')
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}
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if (_.isNil(data) || _.isEmpty(data.regions) || _.isEmpty(data.boundaryClimate)) {
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throw new Error('database error')
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}
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let regionsArr = data.regions
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// PREPARE SEARCH
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// validate dates
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const dates = validateDates(from, to)
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// for calculating average if traveldates are in more than one month
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const travelPeriods = travelPeriodsFromDates(dates)
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const boundaryStatic = {
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max: {
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accommodation_costs: 500,
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food_costs: 100,
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alcohol_costs: 100,
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water_costs: 100,
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local_transportation_costs: 100,
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entertainment_costs: 100,
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average_per_day_costs: 1000,
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avg_price_relative: 100
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},
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min: {
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accommodation_costs: 0,
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food_costs: 0,
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alcohol_costs: 0,
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water_costs: 0,
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local_transportation_costs: 0,
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entertainment_costs: 0,
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average_per_day_costs: 0,
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avg_price_relative: 0
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}
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}
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// CALCULATE PROPERTIES FOR EACH REGION
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regionsArr.forEach(reg => {
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// CALCULATE SCORES FOR CLIMATE PROPS
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reg.scores = []
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Object.entries(q.climate).forEach(([key, value]) => {
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let finalScoreObj = calculateScoreForPeriod(key, travelPeriods, reg, value[0], value[1], data.boundaryClimate)
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reg.scores.push(finalScoreObj)
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});
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// CALCULATE SCORES FOR PRICE PROPS
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Object.entries(q.costs).forEach(([key, value]) => {
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let finalScoreObj = scoreFromSimpleRegionProperty(key, reg, value[0], value[1], boundaryStatic)
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reg.scores.push(finalScoreObj)
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});
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// CALCULATE SCORE FOR OFFSEASON
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if (_.has(q, 'others.avg_price_relative')) {
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let offSeasonScoreObj = calculateScoreForPeriod('avg_price_relative', travelPeriods, reg, q.others.avg_price_relative[0], q.others.avg_price_relative[1], boundaryStatic, 'easeOut', 2)
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reg.scores.push(offSeasonScoreObj)
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}
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// CALCULATE SCORE FOR TAGS
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if (_.has(q, 'others.tags')) {
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reg.scores.push(...scoresFromTags(reg.tags, q.others.tags))
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}
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// CALCULATE PRICE TENDENCY FOR TIMEFRAME
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reg.price_tendency_relative = getAverageFromTrivago(travelPeriods, reg)
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// CALCULATE SUM FOR ACCOMODATION FROM AVERAGE PRICES AND APPROX LIFESTYLE COSTS
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reg.total_accommodation_costs = _.round(sumForRangeAvg(dates.from, dates.to, reg.accommodation_costs), 2)
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reg.total_avg_lifestyle = _.round(sumForRangeAvg(dates.from, dates.to, reg.average_per_day_costs - reg.accommodation_costs), 2)
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//reg.name = `${reg.name} ca. ${_.round(sumForRangeAvg(dates.from, dates.to, reg.accommodation_costs), 2)}€`
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// CALCULATE TOTAL PRICE WITH TRANSPORTATION
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// CALCULATE TOTAL PRICE WITH TRANSPORTATION AND ESTEEMED LIFE COSTS
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// CALCULATE AVERAGE SCORE Stage 1
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let scoreSubGroups = []
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if (!_.isEmpty(q.climate)) scoreSubGroups.push(calculateAverage(reg.scores.filter(el => _.some(Object.keys(q.climate), entry => entry === el.type ) )) )
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if (!_.isEmpty(q.costs)) scoreSubGroups.push(calculateAverage(reg.scores.filter(el => _.some(Object.keys(q.costs), entry => entry === el.type ))) )
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if (!_.isEmpty(q.others.avg_price_relative)) scoreSubGroups.push(calculateAverage(reg.scores.filter(el => 'avg_price_relative' === el.type ) ))
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if (!_.isEmpty(q.others.tags)) scoreSubGroups.push(calculateAverage(reg.scores.filter(el => _.some(q.others.tags, entry => entry === el.type ))) )
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// CALCULATE AVERAGE SCORE Stage 2
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// reg.score = calculateAverage(reg.scores)
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reg.score = _.round(_.sum(scoreSubGroups) / scoreSubGroups.length, 3)
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})
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return _.orderBy(regionsArr, ({ score }) => score || 0, 'desc') //.filter(el => !_.isNaN(el.score))
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}
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function sumForRangeAvg(from, to, avg) {
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let duration = moment(to).diff(moment(from), 'days')
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return duration * avg
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}
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function sumForRangeFromDailyValues(from, to, dailyValues) {
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// NOT NEEDED YET
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// for (var m = moment(from).subtract(1, 'months'); m.isSameOrBefore(moment(to).subtract(1, 'months')); m.add(1, 'day')) {
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// console.log(m);
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// }
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}
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function calculateAverage(scores) {
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let sum = 0
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let cnt = 0
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scores.forEach(el => {
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if (el.score !== null && el.score !== undefined && !_.isNaN(el.score)) {
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cnt++
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sum += el.score
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}
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if (el.score === null || el.score === undefined || _.isNaN(el.score)) {
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cnt++
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sum += -1
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}
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})
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//if (sum === 0 && cnt === 0) return 0
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return _.round(sum / cnt, 3)
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}
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function travelPeriodsFromDates(dates) {
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let travelPeriods = []
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if (dates.from.month === dates.to.month && dates.from.year === dates.to.year) {
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let period = {
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month: dates.from.month,
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days: dates.to.day - dates.from.day
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}
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travelPeriods.push(period)
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} else {
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for (var m = moment(dates.from).subtract(1, 'months'); m.isSameOrBefore(moment(dates.to).subtract(1, 'months').endOf("month")); m.add(1, 'months')) {
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travelPeriods.push(createPeriod(dates.from, dates.to, m.month() + 1, m.year()))
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}
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}
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return travelPeriods
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}
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function validateDates(from, to) {
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let fromAndTo = {
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from: {},
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to: {}
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}
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if (_.isNumber(from) && _.isNumber(to)) {
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let dateFrom = new Date(from)
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fromAndTo.from.day = dateFrom.getDate()
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fromAndTo.from.month = dateFrom.getMonth() + 1
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fromAndTo.from.year = dateFrom.getFullYear()
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let dateTo = new Date(to)
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fromAndTo.to.day = dateTo.getDate()
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fromAndTo.to.month = dateTo.getMonth() + 1
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fromAndTo.to.year = dateFrom.getFullYear()
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} else {
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// this block to still support old query syntax, validating from and to parameter
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let re = /([12]\d{3}-(0[1-9]|1[0-2])-(0[1-9]|[12]\d|3[01]))/i;
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fromAndTo.from.year = Number(from.split("-")[0])
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fromAndTo.to.year = Number(to.split("-")[0])
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fromAndTo.from.month = Number(from.split("-")[1])
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fromAndTo.to.month = Number(to.split("-")[1])
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fromAndTo.from.day = Number(from.split("-")[2])
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fromAndTo.to.day = Number(to.split("-")[2])
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if (!from.match(re) || !to.match(re)) throw new Error("ERR: invalid parameter:", from, to)
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}
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if (moment(fromAndTo.from).add(23, 'hours').isAfter(moment(fromAndTo.to))) throw new Error("ERR: 'to' must be at least one day after 'from'.")
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return fromAndTo
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}
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function createPeriod(from, to, currentMonth, currentYear) {
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let period = {}
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if (currentMonth === from.month && currentYear === from.year) {
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period = {
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month: currentMonth,
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days: 32 - from.day
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}
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} else if (currentMonth === to.month) {
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period = {
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month: currentMonth,
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days: to.day
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}
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} else {
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period = {
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month: currentMonth,
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days: 30
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}
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}
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return period
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}
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function calculateScoreForPeriod(type, travelPeriods, region, searchLowParam, searchMaxParam, minMax) {
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// console.log('getScoreAndAverageFromClimate for', region.name, type)
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const singleScores = travelPeriods.map(period => {
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let res = {
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type: type,
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value: region[type][period.month - 1],
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days: period.days
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}
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return res
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})
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let averagedScore = {
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type: type,
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value: 0,
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days: 0
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}
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singleScores.forEach(el => {
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if (el.value !== null && !_.isNaN(el.value)) {
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averagedScore.value += (el.value * el.days)
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averagedScore.days += (el.days)
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} else {
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// console.log('skip averaging')
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// console.log(el)
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}
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})
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averagedScore.value = _.round(averagedScore.value / averagedScore.days, 3)
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delete averagedScore.days
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let sc = scorer.calculateScoreRange(minMax.min[type], minMax.max[type], SETTINGS[type][0], averagedScore.value, searchLowParam, searchMaxParam)
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averagedScore.score = _.round(scorer[SETTINGS[type][1]](sc, SETTINGS[type][2]), 3)
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// console.log('score', averagedScore.score)
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if (searchLowParam === null) averagedScore.score = null
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return averagedScore
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}
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function scoresFromTags(regionTags, tagStringsFromQueries) {
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return tagStringsFromQueries.map(tagQuery => {
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const tag = regionTags.find(tag => tagQuery === tag.name)
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let retVal = {
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type: tagQuery,
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value: null,
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score: null,
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}
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if (_.isNil(tag)) return retVal
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retVal.value = tag.value
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retVal.score = /* tag.value <= 0 ? 0 : */ _.round(scorer.calculateScoreRange(40, 100, 1, tag.value, 100, 100), 3)
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console.log(retVal);
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return retVal
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})
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}
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function scoreFromSimpleRegionProperty(type, region, searchLowParam, searchMaxParam, minMax) {
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// console.log('getScoreFromCosts for', region.name, type)
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const sc = _.round(scorer.calculateScoreRange(minMax.min[type], minMax.max[type], SETTINGS[type][0], region[type], searchLowParam, searchMaxParam), 3)
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let finScore = {
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type: type,
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value: region[type],
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score: scorer[SETTINGS[type][1]](sc, SETTINGS[type][2]),
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}
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finScore.value = _.round(finScore.value, 1)
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finScore.score = _.round(finScore.score, 3)
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if (searchLowParam === null) finScore.score = null
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return finScore
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}
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function getAverageFromTrivago(travelPeriods, region) {
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// console.log('getAverageFromTrivago for', region.name)
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const singleScores = travelPeriods.map(period => {
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let res = {
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value: region.avg_price_relative[period.month - 1],
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days: period.days
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}
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return res
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})
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let averagedScore = {
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value: 0,
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days: 0
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}
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singleScores.forEach(el => {
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if (el.value !== null && !_.isNaN(el.value)) {
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averagedScore.value += (el.value * el.days)
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averagedScore.days += (el.days)
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} else {
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// console.log('skip averaging')
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// console.log(el)
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}
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})
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averagedScore.value = _.round(averagedScore.value / averagedScore.days, 2)
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return averagedScore.value
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} |