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@ -1,5 +1,9 @@
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const _ = require('lodash')
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/**
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* restructures queries to support old and new query syntax
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* @param {*} queries
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*/
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module.exports = function (queries) {
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let res = _.clone(queries)
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console.log(res);
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@ -27,12 +31,5 @@ module.exports = function (queries) {
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res.tags.push(queries.tags)
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}
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}
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// console.log(res);
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// console.log('queries successfully transformed');
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// } catch (error) {
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// console.log('oldToNewQuerySyntax error');
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// return queries
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// }
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return res
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}
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@ -1,11 +1,12 @@
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const _ = require('lodash')
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// simple averaging function for desired amount of elements
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exports.calculateAvgScore = (...scores) => {
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return avgScore = scores.reduce((total, score) => total += score) / scores.length;
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}
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// extends scoring function to be used with high and low bounded search parameters
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exports.calculateScoreRange = (transitionRange, regionVal, sLowVal, sHighVal) => {
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//console.log('scores.calculateScoreRange:', min, max, multiplier, regionVal, sLowVal, sHighVal)
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// return full score when in range
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if (regionVal >= sLowVal && regionVal <= sHighVal) return 10;
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// choose value with smallest distance
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@ -13,24 +14,34 @@ exports.calculateScoreRange = (transitionRange, regionVal, sLowVal, sHighVal) =>
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return this.calculateScore(transitionRange, regionVal, sVal);
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}
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/**
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* calculates a score from the distance of two values. returns value between 0 and 10
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* @param {Number} transitionRange transition range defines the width of the area between 0 and 10
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* @param {Number} regionVal actual value
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* @param {Number} searchVal desired value
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* @returns {Number} Score
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*/
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exports.calculateScore = (transitionRange, regionVal, searchVal) => {
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let score = 1 - (Math.abs(searchVal - regionVal) / transitionRange);
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return (score) * 10;
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//return score <= 0 ? 0 : score * 10;
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}
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// transistion function
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exports.linear = function (x, exponent) {
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if (x < 0) return 0
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if (x > 10) return 10
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return x
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}
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// transistion function
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exports.easeOut = function (x, exponent) {
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if (x < 0) return 0
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if (x > 10) return 10
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return (1 - Math.pow(1 - (x / 10), exponent)) * 10
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}
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// transistion function
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exports.easeInOut = function (sc, exponent) {
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const x = (sc ) / 10
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// console.log(sc, x);
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@ -39,6 +50,7 @@ exports.easeInOut = function (sc, exponent) {
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return x < 0.5 ? Math.pow(2, exponent-1) * Math.pow(x,exponent) * 10 : (1 - Math.pow(-2 * x + 2, exponent)/2) * 10
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}
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// transistion function
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exports.easeInOutAsymmetric = function (sc, exponent) {
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const x = (sc ) / 10
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// console.log(sc, x);
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@ -47,6 +59,7 @@ exports.easeInOutAsymmetric = function (sc, exponent) {
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return x < 0.5 ? (2 * x) - 0.5 * 10 : (1 - Math.pow(-2 * x + 2, exponent)/2) * 10
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}
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// transistion function
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exports.sigmoid = function (x, exponent) {
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// const sigm = (1 / (1 + Math.pow(Math.E, 5 * -x))) * 10 + 5
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// const sigm = 10 / (1 + Math.pow(Math.E, 1.2 * -x + 6))
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@ -79,14 +79,10 @@ function sumForRangeAvg(from, to, avg) {
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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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/**
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* calculates Average for all scoreobjects of 'scores'
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* @param {[score]} scores array of score objects
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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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@ -103,20 +99,16 @@ function calculateAverage(scores) {
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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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/**
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* Transforms common dateobject from search to travel periods needed for averaging calculations on climate and price data
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* @param {customDateObject} dates
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*/
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function travelPeriodsFromDates(dates) {
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let start = moment(`${dates.from.year}-${dates.from.month}-${dates.from.day}`, 'YYYY-MM-DD')
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let end = moment(`${dates.to.year}-${dates.to.month}-${dates.to.day}`, 'YYYY-MM-DD')
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console.log('start:', moment(start));
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console.log('end:', moment(end));
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// console.log('start:', moment(start).toISOString());
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// console.log('end:', moment(end).toISOString());
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// console.log('start:', moment(dates.from));
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// console.log('end:', moment(dates.to));
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console.log();
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console.log();
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console.log();
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let travelPeriods = []
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@ -137,6 +129,12 @@ function travelPeriodsFromDates(dates) {
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return travelPeriods
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}
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/**
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* Make sure that travel period is at least one day and "from" should not be after "to.
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* supports old and new search query syntax (plain text & base64). returns common data structures for both.
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* @param {*} from
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* @param {*} to
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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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@ -169,6 +167,7 @@ function validateDates(from, to) {
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return fromAndTo
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}
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// helper function for calculating travelperiods
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function createPeriod(start, end, currentMonth, currentYear) {
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let period = {}
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console.log(start, end, currentMonth, currentYear);
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@ -195,10 +194,15 @@ function createPeriod(start, end, currentMonth, currentYear) {
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return period
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}
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function calculateScoreForPeriod(type, travelPeriods, region, searchLowParam, searchMaxParam) {
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// console.log('getScoreAndAverageFromClimate for', region.name, type)
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/**
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* Generic function for calculating the score for a certain scoreobject (type). i.e. 'humidity' or 'avg_price_relative'
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* @param {*} type can be every property of a region which consists of an array of 12 elements (one for each month)
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* @param {*} travelPeriods
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* @param {*} region
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* @param {*} searchLowParam
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* @param {*} searchMaxParam
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*/
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function calculateScoreForPeriod(type, travelPeriods, region, searchLowParam, searchMaxParam) {
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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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@ -218,10 +222,6 @@ function calculateScoreForPeriod(type, travelPeriods, region, searchLowParam, se
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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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@ -240,7 +240,11 @@ function calculateScoreForPeriod(type, travelPeriods, region, searchLowParam, se
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return averagedScore
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}
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/**
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* special score calculating function for region tags.
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* @param {*} regionTags
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* @param {*} tagStringsFromQueries
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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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@ -258,8 +262,16 @@ function scoresFromTags(regionTags, tagStringsFromQueries) {
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})
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}
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/**
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* same as calculateScoreForPeriod, exept that it works for a single value property, valid for the whole year (not an array of 12)
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* @param {*} type
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* @param {*} region
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* @param {*} searchLowParam
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* @param {*} searchMaxParam
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* @param {*} minMax
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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(SETTINGS[type][0], region[type], searchLowParam, searchMaxParam), 3)
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let finScore = {
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@ -274,9 +286,13 @@ function scoreFromSimpleRegionProperty(type, region, searchLowParam, searchMaxPa
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return finScore
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}
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/**
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* simple function to calculate average price tendencies for given travel time
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* @param {*} travelPeriods
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* @param {*} region
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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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@ -294,10 +310,6 @@ function getAverageFromTrivago(travelPeriods, region) {
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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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