changed search behaviour
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cdda87f3c6
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c347b79f02
@ -57,25 +57,41 @@ function searchHandler(dbConn) {
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//response.data = searchResults
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const cutScores = !(_.isEmpty(scoreQueryObj.climate) && _.isEmpty(scoreQueryObj.costs) && _.isEmpty(scoreQueryObj.others))
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//console.log(cutScores);
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const queryCounter = _.keys(q).length - 2
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// TODO only dev:
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searchResults.forEach(reg => reg.name = `${reg.name} (${_.round(reg.score * 10, 1)}% match)`)
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// FILTER NULLSCORES
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if (!_.get(q, 'showRegionsWithNullScore', false)) {
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console.log('without null scores');
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searchResults = searchResults.filter(el => !_.some(el.scores, score => _.isNaN(score.score) || _.isNil(score.score)/* || score.score <= 0*/)).filter(el => {
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searchResults.forEach(el => console.log('region:', el.name, 'score:', el.score))
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//searchResults = searchResults.filter(el => !_.some(el.scores, score => _.isNaN(score.score) || _.isNil(score.score)/* || score.score <= 0*/))
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searchResults = searchResults.filter(el => !(_.isNil(el.score) || _.isNaN(el.score)) )
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// searchResults = searchResults.filter(el => {
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// let nullcnt = 0
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// el.scores.forEach(sc => {
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// if (_.isNaN(sc.score) || sc.score <= 0 || _.isNil(el.score)) {
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// nullcnt++
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// }
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// })
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// console.log(el.name, nullcnt)
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// return nullcnt >= 2 ? false : true
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// })
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/*searchResults = searchResults.filter(el => {
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console.log('scorrrrrr', el.score);
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let keepIt = true
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if (_.some(el.scores, score => score.score <= 0) && el.score < 1) keepIt = false
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//if (_.some(el.scores, score => score.score <= 0) && el.score < 1) keepIt = false
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return cutScores ? keepIt : true
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})//.filter(el => !_.isNaN(el.score))
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})//.filter(el => !_.isNaN(el.score))*/
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}
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// SEND RESPONSE
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if (_.isEmpty(searchResults)) {
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res.status(404).send('No regions found with your parameters')
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res.status(204).json(searchResults)
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return
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}
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// response.data = searchResults
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// res.json(response)
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res.json(searchResults)
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}).catch(e => {
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@ -5,10 +5,8 @@ exports.calculateAvgScore = (...scores) => {
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}
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exports.calculateScoreRange = (min, max, multiplier, regionVal, sLowVal, sHighVal) => {
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console.log('scores.calculateScoreRange:', min, max, multiplier, 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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console.log(regionVal >= sLowVal && regionVal <= sHighVal);
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if (regionVal >= sLowVal && regionVal <= sHighVal) return 10;
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// choose value with smallest distance
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let sVal = Math.abs(regionVal - sLowVal) < Math.abs(regionVal - sHighVal) ? sLowVal : sHighVal;
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@ -21,6 +19,12 @@ exports.calculateScore = (min, max, multiplier, regionVal, searchVal) => {
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//return score <= 0 ? 0 : score * 10;
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}
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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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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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@ -1,31 +1,31 @@
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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 score = require('./score')
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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 MULTIPLIER = {
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temperature_mean_max: 5,
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precipitation: 5,
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rain_days: 2,
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sun_hours: 1.8,
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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,
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food_costs: 4,
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alcohol_costs: 4,
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water_costs: 4,
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local_transportation_costs: 3,
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entertainment_costs: 3,
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average_per_day_costs: 40,
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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
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avg_price_relative: [3, 'easeOut', 2],
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}
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module.exports = function (dbConn) {
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return async function (regions, from, to, q) {
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console.log('search')
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if ((_.isNil(to) || _.isNil(from)) && !(_.isEmpty(q.climate) || _.isEmpty(q.costs))) {
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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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// PREPARE SEARCH
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@ -74,13 +74,13 @@ module.exports = function (dbConn) {
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// CALCULATE SCORES FOR CLIMATE PROPS
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regions.forEach(reg => {
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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], boundaryClimate, 'easeInOut', 2)
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let finalScoreObj = calculateScoreForPeriod(key, travelPeriods, reg, value[0], value[1], 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 = calculateSimpleScore(key, reg, value[0], value[1], boundaryStatic, 'easeInOut', 2)
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let finalScoreObj = calculateSimpleScore(key, reg, value[0], value[1], boundaryStatic)
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reg.scores.push(finalScoreObj)
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});
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@ -93,8 +93,15 @@ module.exports = function (dbConn) {
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reg.price_tendency_relative = getAverageFromTrivago(travelPeriods, reg)
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// CALCULATE AVERAGE SCORE
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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)) scoreSubGroups.push(calculateAverage(reg.scores.filter(el => _.some(Object.keys(q.others), 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 = _.sum(scoreSubGroups) / scoreSubGroups.length
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})
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return _.orderBy(regions, ({ score }) => score || 0, 'desc') //.filter(el => !_.isNaN(el.score))
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}
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@ -107,7 +114,12 @@ module.exports = function (dbConn) {
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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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@ -129,27 +141,6 @@ module.exports = function (dbConn) {
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return travelPeriods
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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 validateDates(from, to) {
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let fromAndTo = {
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from: {},
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@ -181,8 +172,30 @@ module.exports = function (dbConn) {
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return fromAndTo
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}
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function calculateScoreForPeriod(type, travelPeriods, region, searchLowParam, searchMaxParam, minMax, funcType, funcSlope) {
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console.log('getScoreAndAverageFromClimate for', region.name, type)
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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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@ -204,30 +217,30 @@ module.exports = function (dbConn) {
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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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// 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 = score.calculateScoreRange(minMax.min[type], minMax.max[type], MULTIPLIER[type], averagedScore.value, searchLowParam, searchMaxParam)
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averagedScore.score = _.round(score[funcType](sc, funcSlope), 3)
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console.log('score', averagedScore.score)
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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 calculateSimpleScore(type, region, searchLowParam, searchMaxParam, minMax, funcType, funcSlope) {
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console.log('getScoreFromCosts for', region.name, type)
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const sc = _.round(score.calculateScoreRange(minMax.min[type], minMax.max[type], MULTIPLIER[type], region[type], searchLowParam, searchMaxParam), 3)
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function calculateSimpleScore(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: score[funcType](sc, funcSlope),
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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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@ -237,7 +250,7 @@ module.exports = function (dbConn) {
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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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// 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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@ -253,12 +266,12 @@ module.exports = function (dbConn) {
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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) {
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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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// console.log('skip averaging')
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// console.log(el)
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}
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})
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