const _ = require('lodash') const moment = require("moment") const getClimateMinMax = require("./getClimateMinMax.js") const oldToNewQuerySyntax = require("./oldToNewQuerySyntax.js") const getAllRegionsWithClimatePerMonth = require('./getAllRegionsWithClimatePerMonth') const score = require('./score') // const getRegions = require('../models/getRegions.js').getRegionsInternal const getRegions = require('../models/getRegions2.js') const SHOW_ALL_SCOREOBJECTS = false const MULTIPLIER = { temperature_mean_max: 5, precipitation: 3.5, rain_days: 3, sun_hours: 2.5, accommodation_costs: 5, food_costs: 5, alcohol_costs: 5, water_costs: 5, public_transportation_costs: 5, entertainment_costs: 5, average_per_day_costs: 5 } module.exports = function (dbConn) { return async function (from, to, queries) { console.log('search') // PREPARE SEARCH // validate dates const dates = validateDates(from, to) // transform syntax and seperate climate queries from price queries queries = oldToNewQuerySyntax.oldToNewQuerySyntax(queries) console.log(queries) const q = prepareQueries(queries) console.log('q', q) // 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 boundaryCosts = { max: { accommodation_costs: 500, food_costs: 100, alcohol_costs: 100, water_costs: 100, public_transportation_costs: 100, entertainment_costs: 100, average_per_day_costs: 1000 }, min: { accommodation_costs: 0, food_costs: 0, alcohol_costs: 0, water_costs: 0, public_transportation_costs: 0, entertainment_costs: 0, average_per_day_costs: 0 } } // little tweak to show score object without request 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 SCORES FOR CLIMATE PROPS regions.forEach(reg => { Object.entries(q.climate).forEach(([key, value]) => { // console.log('key', key) // console.log('val', value[0], value[1]) let finalScoreObj = getScoreAndAverageFromClimate(key, travelPeriods, reg, value[0], value[1], boundaryClimate) reg.scores.push(finalScoreObj) }); // CALCULATE SCORES FOR PRICE PROPS Object.entries(q.costs).forEach(([key, value]) => { console.log('key', key) console.log('val', value[0], value[1]) let finalScoreObj = getScoreFromCosts(key, reg, value[0], value[1], boundaryCosts) console.log(finalScoreObj); reg.scores.push(finalScoreObj) }); // CALCULATE AVERAGE SCORE reg.score = calculateAverage(reg.scores) }) return _.orderBy(regions, ({ score }) => score || 0, 'desc') //.filter(el => !_.isNaN(el.score)) } function calculateAverage(scores) { let sum = 0 scores.forEach(el => sum += el.score) //console.log(sum) return _.round(sum / scores.length, 2) } function prepareQueries(queries) { let q = { climate: {}, costs: {} } // climate if (queries.temperature_mean_max) q.climate.temperature_mean_max = queries.temperature_mean_max if (queries.precipitation) q.climate.precipitation = queries.precipitation if (queries.rain_days) q.climate.rain_days = queries.rain_days if (queries.sun_hours) q.climate.sun_hours = queries.sun_hours // costs if (queries.accommodation_costs) q.costs.accommodation_costs = queries.accommodation_costs if (queries.food_costs) q.costs.food_costs = queries.food_costs if (queries.alcohol_costs) q.costs.alcohol_costs = queries.alcohol_costs if (queries.water_costs) q.costs.water_costs = queries.water_costs if (queries.public_transportation_costs) q.costs.public_transportation_costs = queries.public_transportation_costs if (queries.entertainment_costs) q.costs.entertainment_costs = queries.entertainment_costs if (queries.average_per_day_costs) q.costs.average_per_day_costs = queries.average_per_day_costs return q } function travelPeriodsFromDates(dates) { //console.log(dates); let travelPeriods = [] if (dates.from.month === dates.to.month) { let period = { month: dates.from.month, days: dates.to.day - dates.from.day } travelPeriods.push(period) } else { for (let i = dates.from.month; i <= dates.to.month; i++) { let period = {} if (i === dates.from.month) { period = { month: i, days: 32 - dates.from.day } } else if (i === dates.to.month) { period = { month: i, days: dates.to.day } } else { period = { month: i, days: 30 } } travelPeriods.push(period) } } 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 let dateTo = new Date(to) fromAndTo.to.day = dateTo.getDate() fromAndTo.to.month = dateTo.getMonth() + 1 //console.log(dateFrom.toUTCString(), dateTo.toUTCString()) if (moment(dateFrom).add(23, 'hours').isAfter(moment(dateTo))) throw new Error("ERR: 'to' must be at least one day after 'from'.") } 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.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(from, 'YYYY-MM-DD').add(23, 'hours').isAfter(moment(to, 'YYYY-MM-DD'))) throw new Error("ERR: 'to' must be at least one day after 'from'.") } console.log(fromAndTo) return fromAndTo } function getScoreAndAverageFromClimate(type, travelPeriods, region, searchLowParam, searchMaxParam, minMax) { console.log('getScoreAndAverageFromClimate for', region.name, type) // console.log(type, travelPeriods, searchLowParam, searchMaxParam) const singleScores = travelPeriods.map(period => { const sc = _.round(score.calculateScoreRange(minMax.min[type], minMax.max[type], MULTIPLIER[type], region[type][period.month - 1], searchLowParam, searchMaxParam), 2) let res = { //region_id: x.region_id, type: type, value: region[type][period.month - 1], score: (region[type][period.month - 1] === null || searchLowParam === null) ? null : sc, days: period.days } //console.log(res); return res }) let averagedScore = { type: type, value: 0, score: 0, days: 0 } singleScores.forEach(el => { if (el.value !== null) { //console.log(el) averagedScore.value += (el.value * el.days) averagedScore.score += (el.score * el.days) averagedScore.days += (el.days) } else { console.log('skip averaging') console.log(el) } }) averagedScore.value = _.round(averagedScore.value / averagedScore.days, 1) averagedScore.score = _.round(averagedScore.score / averagedScore.days, 1) if (searchLowParam === null) averagedScore.score = null delete averagedScore.days return averagedScore } function getScoreFromCosts(type, region, searchLowParam, searchMaxParam, minMax) { console.log('getScoreFromCosts for', region.name, type) // console.log(type, travelPeriods, searchLowParam, searchMaxParam) const sc = _.round(score.calculateScoreRange(minMax.min[type], minMax.max[type], MULTIPLIER[type], region[type], searchLowParam, searchMaxParam), 2) let finScore = { type: type, value: region[type], score: sc, } finScore.value = _.round(finScore.value, 1) finScore.score = _.round(finScore.score, 1) if (searchLowParam === null) finScore.score = null return finScore } //end }