const _ = require('lodash') const moment = require("moment") const getClimateMinMax = require("./getClimateMinMax.js") const scorer = require('./score') const getRegions = require('../models/getRegions.js') const SHOW_ALL_SCOREOBJECTS = false const SETTINGS = { temperature_mean_max: [4.5, 'easeOut', 2], precipitation: [4, 'easeInOut', 2], rain_days: [2, 'easeInOut', 2], sun_hours: [3.6, 'easeInOut', 2], accommodation_costs: [17, 'linear', null], food_costs: [4, 'linear', null], alcohol_costs: [4, 'linear', null], water_costs: [10, 'linear', null], local_transportation_costs: [5, 'linear', null], entertainment_costs: [5, 'easeInOut', 0.6], average_per_day_costs: [5, 'linear', null], avg_price_relative: [3, 'easeOut', 2], } module.exports = function (dbConn) { return async function (regions, from, to, q) { console.log('search') if ((_.isNil(to) || _.isNil(from)) && !(_.isEmpty(q.climate) || _.isEmpty(q.costs) || _.isEmpty(q.others))) { throw new Error('invalid query') } // PREPARE SEARCH // validate dates const dates = validateDates(from, to) // for calculating average if traveldates are in more than one month const travelPeriods = travelPeriodsFromDates(dates) // FETCH DATA FROM DB const boundaryClimate = await getClimateMinMax.getClimateMinMax(dbConn) // let regions = await getRegions(dbConn) regions.forEach(reg => reg.scores = []) const boundaryStatic = { max: { accommodation_costs: 500, food_costs: 100, alcohol_costs: 100, water_costs: 100, local_transportation_costs: 100, entertainment_costs: 100, average_per_day_costs: 1000, avg_price_relative: 100 }, min: { accommodation_costs: 0, food_costs: 0, alcohol_costs: 0, water_costs: 0, local_transportation_costs: 0, entertainment_costs: 0, average_per_day_costs: 0, avg_price_relative: 0 } } // little tweak to show score object without request DEPRECATED if (SHOW_ALL_SCOREOBJECTS) { if (!q.climate.temperature_mean_max) q.climate.temperature_mean_max = [null, null] if (!q.climate.precipitation) q.climate.precipitation = [null, null] if (!q.climate.rain_days) q.climate.rain_days = [null, null] if (!q.climate.sun_hours) q.climate.sun_hours = [null, null] if (!q.climate.accommodation_costs) q.climate.accommodation_costs = [null, null] } // CALCULATE PROPERTIES FOR EACH REGION regions.forEach(reg => { // CALCULATE SCORES FOR CLIMATE PROPS Object.entries(q.climate).forEach(([key, value]) => { let finalScoreObj = calculateScoreForPeriod(key, travelPeriods, reg, value[0], value[1], boundaryClimate) reg.scores.push(finalScoreObj) }); // CALCULATE SCORES FOR PRICE PROPS Object.entries(q.costs).forEach(([key, value]) => { let finalScoreObj = calculateSimpleScore(key, reg, value[0], value[1], boundaryStatic) reg.scores.push(finalScoreObj) }); // CALCULATE SCORE FOR OFFSEASON if (_.has(q, 'others.avg_price_relative')) { let offSeasonScoreObj = calculateScoreForPeriod('avg_price_relative', travelPeriods, reg, q.others.avg_price_relative[0], q.others.avg_price_relative[1], boundaryStatic, 'easeOut', 2) reg.scores.push(offSeasonScoreObj) } // CALCULATE PRICE TENDENCY FOR TIMEFRAME reg.price_tendency_relative = getAverageFromTrivago(travelPeriods, reg) // CALCULATE SUM FOR ACCOMODATION FROM AVERAGE PRICES reg.total_accommodation_costs = _.round(sumForRangeAvg(dates.from, dates.to, reg.accommodation_costs), 2) //reg.total_avg_lifestyle = _.round(sumForRangeAvg(dates.from, dates.to, reg.average_per_day_costs - reg.accommodation_costs), 2) //reg.name = `${reg.name} ca. ${_.round(sumForRangeAvg(dates.from, dates.to, reg.accommodation_costs), 2)}€` // CALCULATE TOTAL PRICE WITH TRANSPORTATION // CALCULATE TOTAL PRICE WITH TRANSPORTATION AND ESTEEMED LIFE COSTS // CALCULATE AVERAGE SCORE Stage 1 let scoreSubGroups = [] if (!_.isEmpty(q.climate)) scoreSubGroups.push(calculateAverage(reg.scores.filter(el => _.some(Object.keys(q.climate), entry => entry === el.type ) )) ) if (!_.isEmpty(q.costs)) scoreSubGroups.push(calculateAverage(reg.scores.filter(el => _.some(Object.keys(q.costs), entry => entry === el.type ))) ) if (!_.isEmpty(q.others)) scoreSubGroups.push(calculateAverage(reg.scores.filter(el => _.some(Object.keys(q.others), entry => entry === el.type ) )) ) // CALCULATE AVERAGE SCORE Stage 2 reg.score = calculateAverage(reg.scores) // reg.score = _.sum(scoreSubGroups) / scoreSubGroups.length }) return _.orderBy(regions, ({ score }) => score || 0, 'desc') //.filter(el => !_.isNaN(el.score)) } function sumForRangeAvg(from, to, avg) { let duration = moment(to).diff(moment(from), 'days') return duration * avg } function sumForRangeFromDailyValues(from, to, dailyValues) { // NOT NEEDED YET // for (var m = moment(from).subtract(1, 'months'); m.isSameOrBefore(moment(to).subtract(1, 'months')); m.add(1, 'day')) { // console.log(m); // } } function calculateAverage(scores) { let sum = 0 let cnt = 0 scores.forEach(el => { if (el.score !== null && el.score !== undefined && !_.isNaN(el.score)) { cnt++ sum += el.score } if (el.score === null || el.score === undefined || _.isNaN(el.score)) { cnt++ sum += -1 } }) //if (sum === 0 && cnt === 0) return 0 return _.round(sum / cnt, 3) } function travelPeriodsFromDates(dates) { let travelPeriods = [] if (dates.from.month === dates.to.month && dates.from.year === dates.to.year) { let period = { month: dates.from.month, days: dates.to.day - dates.from.day } travelPeriods.push(period) } else { for (var m = moment(dates.from).subtract(1, 'months'); m.isSameOrBefore(moment(dates.to).subtract(1, 'months').endOf("month")); m.add(1, 'months')) { travelPeriods.push(createPeriod(dates.from, dates.to, m.month() + 1, m.year())) } } return travelPeriods } function validateDates(from, to) { let fromAndTo = { from: {}, to: {} } if (_.isNumber(from) && _.isNumber(to)) { let dateFrom = new Date(from) fromAndTo.from.day = dateFrom.getDate() fromAndTo.from.month = dateFrom.getMonth() + 1 fromAndTo.from.year = dateFrom.getFullYear() let dateTo = new Date(to) fromAndTo.to.day = dateTo.getDate() fromAndTo.to.month = dateTo.getMonth() + 1 fromAndTo.to.year = dateFrom.getFullYear() } else { // this block to still support old query syntax, validating from and to parameter let re = /([12]\d{3}-(0[1-9]|1[0-2])-(0[1-9]|[12]\d|3[01]))/i; fromAndTo.from.year = Number(from.split("-")[0]) fromAndTo.to.year = Number(to.split("-")[0]) fromAndTo.from.month = Number(from.split("-")[1]) fromAndTo.to.month = Number(to.split("-")[1]) fromAndTo.from.day = Number(from.split("-")[2]) fromAndTo.to.day = Number(to.split("-")[2]) if (!from.match(re) || !to.match(re)) throw new Error("ERR: invalid parameter:", from, to) } if (moment(fromAndTo.from).add(23, 'hours').isAfter(moment(fromAndTo.to))) throw new Error("ERR: 'to' must be at least one day after 'from'.") return fromAndTo } function createPeriod(from, to, currentMonth, currentYear) { let period = {} if (currentMonth === from.month && currentYear === from.year) { period = { month: currentMonth, days: 32 - from.day } } else if (currentMonth === to.month) { period = { month: currentMonth, days: to.day } } else { period = { month: currentMonth, days: 30 } } return period } function calculateScoreForPeriod(type, travelPeriods, region, searchLowParam, searchMaxParam, minMax) { // console.log('getScoreAndAverageFromClimate for', region.name, type) const singleScores = travelPeriods.map(period => { let res = { type: type, value: region[type][period.month - 1], days: period.days } return res }) let averagedScore = { type: type, value: 0, days: 0 } singleScores.forEach(el => { if (el.value !== null && !_.isNaN(el.value)) { averagedScore.value += (el.value * el.days) averagedScore.days += (el.days) } else { // console.log('skip averaging') // console.log(el) } }) averagedScore.value = _.round(averagedScore.value / averagedScore.days, 3) delete averagedScore.days let sc = scorer.calculateScoreRange(minMax.min[type], minMax.max[type], SETTINGS[type][0], averagedScore.value, searchLowParam, searchMaxParam) averagedScore.score = _.round(scorer[SETTINGS[type][1]](sc, SETTINGS[type][2]), 3) // console.log('score', averagedScore.score) if (searchLowParam === null) averagedScore.score = null return averagedScore } function calculateSimpleScore(type, region, searchLowParam, searchMaxParam, minMax) { // console.log('getScoreFromCosts for', region.name, type) const sc = _.round(scorer.calculateScoreRange(minMax.min[type], minMax.max[type], SETTINGS[type][0], region[type], searchLowParam, searchMaxParam), 3) let finScore = { type: type, value: region[type], score: scorer[SETTINGS[type][1]](sc, SETTINGS[type][2]), } finScore.value = _.round(finScore.value, 1) finScore.score = _.round(finScore.score, 3) if (searchLowParam === null) finScore.score = null return finScore } function getAverageFromTrivago(travelPeriods, region) { // console.log('getAverageFromTrivago for', region.name) const singleScores = travelPeriods.map(period => { let res = { value: region.avg_price_relative[period.month - 1], days: period.days } return res }) let averagedScore = { value: 0, days: 0 } singleScores.forEach(el => { if (el.value !== null && !_.isNaN(el.value)) { averagedScore.value += (el.value * el.days) averagedScore.days += (el.days) } else { // console.log('skip averaging') // console.log(el) } }) averagedScore.value = _.round(averagedScore.value / averagedScore.days, 2) return averagedScore.value } //end }