Merge branch 'feature/tags-search-backend' into 'develop'

Feature/tags search backend

See merge request tjohn/cc-data!28
This commit is contained in:
Timo Volkmann 2020-06-24 14:08:02 +02:00
commit 2c1d09297a
4 changed files with 303 additions and 266 deletions

View File

@ -1,9 +1,8 @@
const arrayFormatting = require("../util/databaseArrayFormatting.js"); const arrayFormatting = require("../util/databaseArrayFormatting.js");
const { takeRightWhile } = require("lodash"); const { allTagsWithValues } = require("./getTags.js");
module.exports = async (dbConn) => { module.exports = async (dbConn) => {
const regions = await dbConn.query( const sqlRegions = `SELECT regions.id AS region_id,
`SELECT regions.id AS region_id,
regions.region AS name, regions.region AS name,
countries.country AS country, countries.country AS country,
regions.description AS description, regions.description AS description,
@ -43,7 +42,7 @@ module.exports = async (dbConn) => {
GROUP BY rtma.region_id) rtma GROUP BY rtma.region_id) rtma
ON regions.id = rtma.region_id ON regions.id = rtma.region_id
WHERE regions_byt.travelstyle = 1` WHERE regions_byt.travelstyle = 1`
); const [regions, tags] = await Promise.all([dbConn.query(sqlRegions), allTagsWithValues(dbConn)])
for (k = 0; k < regions.length; k++) { for (k = 0; k < regions.length; k++) {
regions[k].avg_price_relative = arrayFormatting(regions[k].avg_price_relative); regions[k].avg_price_relative = arrayFormatting(regions[k].avg_price_relative);
@ -67,6 +66,12 @@ module.exports = async (dbConn) => {
if (region.rain_days === null) region.rain_days = emptyArr if (region.rain_days === null) region.rain_days = emptyArr
if (region.sun_hours === null) region.sun_hours = emptyArr if (region.sun_hours === null) region.sun_hours = emptyArr
if (region.humidity === null) region.humidity = emptyArr if (region.humidity === null) region.humidity = emptyArr
region.tags = tags.filter(tag => tag.region_id === region.region_id).map(tag => {
delete tag.region_id
return tag
})
return region return region
}); });
}; };

View File

@ -7,7 +7,7 @@ const getSearchPresets = require("../models/getSearchPresets.js");
// Utils // Utils
const _ = require('lodash') const _ = require('lodash')
const base64 = require("../util/base64.js") const base64 = require("../util/base64.js")
const sas = require("../util/scoreAndSearch.js"); const scoreAndSearch = require("../util/scoreAndSearch.js");
const oldToNewQuerySyntax = require("../util/oldToNewQuerySyntax.js") const oldToNewQuerySyntax = require("../util/oldToNewQuerySyntax.js")
const { allTagsWithValues, getUniqueTags } = require("../models/getTags.js"); const { allTagsWithValues, getUniqueTags } = require("../models/getTags.js");
const { getClimateMinMax } = require("../util/getClimateMinMax.js"); const { getClimateMinMax } = require("../util/getClimateMinMax.js");
@ -41,7 +41,6 @@ function presetHandler(dbConn) {
} }
function searchHandler(dbConn) { function searchHandler(dbConn) {
const scoreAndSearch = sas(dbConn)
return async function (req, res) { return async function (req, res) {
let response = {} let response = {}
@ -62,10 +61,9 @@ function searchHandler(dbConn) {
// CHOOSE PARAMS WHICH SHALL BE PASSED TO SCORE AND SEARCH // CHOOSE PARAMS WHICH SHALL BE PASSED TO SCORE AND SEARCH
let scoreQueryObj = prepareQueries(q) let scoreQueryObj = prepareQueries(q)
let [regions, tags, boundaryClimate] = await Promise.all([getRegions(dbConn), allTagsWithValues(dbConn), getClimateMinMax(dbConn)]) let [regions, boundaryClimate] = await Promise.all([getRegions(dbConn), getClimateMinMax(dbConn)])
let data = { let data = {
regions: regions, regions: regions,
tags: tags,
boundaryClimate: boundaryClimate boundaryClimate: boundaryClimate
} }
@ -154,6 +152,7 @@ function prepareQueries(queries) {
// others // others
if (queries.avg_price_relative) q.others.avg_price_relative = queries.avg_price_relative if (queries.avg_price_relative) q.others.avg_price_relative = queries.avg_price_relative
if (queries.tags) q.others.tags = queries.tags
return q return q
} }

View File

@ -17,7 +17,18 @@ module.exports = function (queries) {
if (queries.local_transportation_costs) res.local_transportation_costs = [Number(queries.local_transportation_costs.split(',')[0]), Number(queries.local_transportation_costs.split(',')[1])] if (queries.local_transportation_costs) res.local_transportation_costs = [Number(queries.local_transportation_costs.split(',')[0]), Number(queries.local_transportation_costs.split(',')[1])]
if (queries.entertainment_costs) res.entertainment_costs = [Number(queries.entertainment_costs.split(',')[0]), Number(queries.entertainment_costs.split(',')[1])] if (queries.entertainment_costs) res.entertainment_costs = [Number(queries.entertainment_costs.split(',')[0]), Number(queries.entertainment_costs.split(',')[1])]
if (queries.average_per_day_costs) res.average_per_day_costs = [Number(queries.average_per_day_costs.split(',')[0]), Number(queries.average_per_day_costs.split(',')[1])] if (queries.average_per_day_costs) res.average_per_day_costs = [Number(queries.average_per_day_costs.split(',')[0]), Number(queries.average_per_day_costs.split(',')[1])]
if (queries.avg_price_relative) res.avg_price_relative = [Number(queries.avg_price_relative.split(',')[0]), Number(queries.avg_price_relative.split(',')[1])] if (queries.avg_price_relative) res.avg_price_relative = [Number(queries.avg_price_relative.split(',')[0]), Number(queries.avg_price_relative.split(',')[1])]
if (queries.tags) {
res.tags = []
if (queries.tags.includes(',')) {
res.tags.push(...queries.tags.split(',').map(el => el.trim()))
} else {
res.tags.push(queries.tags)
}
}
// console.log(res);
// console.log('queries successfully transformed'); // console.log('queries successfully transformed');
// } catch (error) { // } catch (error) {
// console.log('oldToNewQuerySyntax error'); // console.log('oldToNewQuerySyntax error');

View File

@ -22,13 +22,13 @@ const SETTINGS = {
avg_price_relative: [3, 'easeOut', 2], avg_price_relative: [3, 'easeOut', 2],
} }
module.exports = function (dbConn) { module.exports = async function (data, from, to, q) {
return async function (data, from, to, q) {
console.log('search') console.log('search')
console.log(q)
if ((_.isNil(to) || _.isNil(from)) && !(_.isEmpty(q.climate) || _.isEmpty(q.costs) || _.isEmpty(q.others))) { if ((_.isNil(to) || _.isNil(from)) && !(_.isEmpty(q.climate) || _.isEmpty(q.costs) || _.isEmpty(q.others))) {
throw new Error('invalid query') throw new Error('invalid query')
} }
if (_.isNil(data) || _.isEmpty(data.regions) || _.isEmpty(data.tags) || _.isEmpty(data.boundaryClimate)) { if (_.isNil(data) || _.isEmpty(data.regions) || _.isEmpty(data.boundaryClimate)) {
throw new Error('database error') throw new Error('database error')
} }
let regionsArr = data.regions let regionsArr = data.regions
@ -64,8 +64,9 @@ module.exports = function (dbConn) {
// CALCULATE PROPERTIES FOR EACH REGION // CALCULATE PROPERTIES FOR EACH REGION
regionsArr.forEach(reg => { regionsArr.forEach(reg => {
reg.scores = []
// CALCULATE SCORES FOR CLIMATE PROPS // CALCULATE SCORES FOR CLIMATE PROPS
reg.scores = []
Object.entries(q.climate).forEach(([key, value]) => { Object.entries(q.climate).forEach(([key, value]) => {
let finalScoreObj = calculateScoreForPeriod(key, travelPeriods, reg, value[0], value[1], data.boundaryClimate) let finalScoreObj = calculateScoreForPeriod(key, travelPeriods, reg, value[0], value[1], data.boundaryClimate)
reg.scores.push(finalScoreObj) reg.scores.push(finalScoreObj)
@ -73,7 +74,7 @@ module.exports = function (dbConn) {
// CALCULATE SCORES FOR PRICE PROPS // CALCULATE SCORES FOR PRICE PROPS
Object.entries(q.costs).forEach(([key, value]) => { Object.entries(q.costs).forEach(([key, value]) => {
let finalScoreObj = calculateSimpleScore(key, reg, value[0], value[1], boundaryStatic) let finalScoreObj = scoreFromSimpleRegionProperty(key, reg, value[0], value[1], boundaryStatic)
reg.scores.push(finalScoreObj) reg.scores.push(finalScoreObj)
}); });
@ -84,12 +85,17 @@ module.exports = function (dbConn) {
reg.scores.push(offSeasonScoreObj) reg.scores.push(offSeasonScoreObj)
} }
// CALCULATE SCORE FOR TAGS
if (_.has(q, 'others.tags')) {
reg.scores.push(...scoresFromTags(reg.tags, q.others.tags))
}
// CALCULATE PRICE TENDENCY FOR TIMEFRAME // CALCULATE PRICE TENDENCY FOR TIMEFRAME
reg.price_tendency_relative = getAverageFromTrivago(travelPeriods, reg) reg.price_tendency_relative = getAverageFromTrivago(travelPeriods, reg)
// CALCULATE SUM FOR ACCOMODATION FROM AVERAGE PRICES // CALCULATE SUM FOR ACCOMODATION FROM AVERAGE PRICES AND APPROX LIFESTYLE COSTS
reg.total_accommodation_costs = _.round(sumForRangeAvg(dates.from, dates.to, reg.accommodation_costs), 2) 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.total_avg_lifestyle = _.round(sumForRangeAvg(dates.from, dates.to, reg.average_per_day_costs - reg.accommodation_costs), 2)
//reg.name = `${reg.name} ca. ${_.round(sumForRangeAvg(dates.from, dates.to, reg.accommodation_costs), 2)}€` //reg.name = `${reg.name} ca. ${_.round(sumForRangeAvg(dates.from, dates.to, reg.accommodation_costs), 2)}€`
// CALCULATE TOTAL PRICE WITH TRANSPORTATION // CALCULATE TOTAL PRICE WITH TRANSPORTATION
@ -100,29 +106,31 @@ module.exports = function (dbConn) {
let scoreSubGroups = [] 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.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.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 ) )) ) if (!_.isEmpty(q.others.avg_price_relative)) scoreSubGroups.push(calculateAverage(reg.scores.filter(el => 'avg_price_relative' === el.type ) ))
if (!_.isEmpty(q.others.tags)) scoreSubGroups.push(calculateAverage(reg.scores.filter(el => _.some(q.others.tags, entry => entry === el.type ))) )
// CALCULATE AVERAGE SCORE Stage 2 // CALCULATE AVERAGE SCORE Stage 2
reg.score = calculateAverage(reg.scores) // reg.score = calculateAverage(reg.scores)
// reg.score = _.sum(scoreSubGroups) / scoreSubGroups.length reg.score = _.round(_.sum(scoreSubGroups) / scoreSubGroups.length, 3)
}) })
return _.orderBy(regionsArr, ({ score }) => score || 0, 'desc') //.filter(el => !_.isNaN(el.score)) return _.orderBy(regionsArr, ({ score }) => score || 0, 'desc') //.filter(el => !_.isNaN(el.score))
} }
function sumForRangeAvg(from, to, avg) { function sumForRangeAvg(from, to, avg) {
let duration = moment(to).diff(moment(from), 'days') let duration = moment(to).diff(moment(from), 'days')
return duration * avg return duration * avg
} }
function sumForRangeFromDailyValues(from, to, dailyValues) { function sumForRangeFromDailyValues(from, to, dailyValues) {
// NOT NEEDED YET // NOT NEEDED YET
// for (var m = moment(from).subtract(1, 'months'); m.isSameOrBefore(moment(to).subtract(1, 'months')); m.add(1, 'day')) { // for (var m = moment(from).subtract(1, 'months'); m.isSameOrBefore(moment(to).subtract(1, 'months')); m.add(1, 'day')) {
// console.log(m); // console.log(m);
// } // }
} }
function calculateAverage(scores) { function calculateAverage(scores) {
let sum = 0 let sum = 0
let cnt = 0 let cnt = 0
scores.forEach(el => { scores.forEach(el => {
@ -137,9 +145,9 @@ module.exports = function (dbConn) {
}) })
//if (sum === 0 && cnt === 0) return 0 //if (sum === 0 && cnt === 0) return 0
return _.round(sum / cnt, 3) return _.round(sum / cnt, 3)
} }
function travelPeriodsFromDates(dates) { function travelPeriodsFromDates(dates) {
let travelPeriods = [] let travelPeriods = []
if (dates.from.month === dates.to.month && dates.from.year === dates.to.year) { if (dates.from.month === dates.to.month && dates.from.year === dates.to.year) {
@ -155,9 +163,9 @@ module.exports = function (dbConn) {
} }
} }
return travelPeriods return travelPeriods
} }
function validateDates(from, to) { function validateDates(from, to) {
let fromAndTo = { let fromAndTo = {
from: {}, from: {},
to: {} to: {}
@ -186,9 +194,9 @@ module.exports = function (dbConn) {
if (moment(fromAndTo.from).add(23, 'hours').isAfter(moment(fromAndTo.to))) throw new Error("ERR: 'to' must be at least one day after 'from'.") 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 return fromAndTo
} }
function createPeriod(from, to, currentMonth, currentYear) { function createPeriod(from, to, currentMonth, currentYear) {
let period = {} let period = {}
if (currentMonth === from.month && currentYear === from.year) { if (currentMonth === from.month && currentYear === from.year) {
period = { period = {
@ -207,10 +215,10 @@ module.exports = function (dbConn) {
} }
} }
return period return period
} }
function calculateScoreForPeriod(type, travelPeriods, region, searchLowParam, searchMaxParam, minMax) { function calculateScoreForPeriod(type, travelPeriods, region, searchLowParam, searchMaxParam, minMax) {
// console.log('getScoreAndAverageFromClimate for', region.name, type) // console.log('getScoreAndAverageFromClimate for', region.name, type)
const singleScores = travelPeriods.map(period => { const singleScores = travelPeriods.map(period => {
@ -247,9 +255,26 @@ module.exports = function (dbConn) {
if (searchLowParam === null) averagedScore.score = null if (searchLowParam === null) averagedScore.score = null
return averagedScore return averagedScore
} }
function calculateSimpleScore(type, region, searchLowParam, searchMaxParam, minMax) { function scoresFromTags(regionTags, tagStringsFromQueries) {
return tagStringsFromQueries.map(tagQuery => {
const tag = regionTags.find(tag => tagQuery === tag.name)
let retVal = {
type: tagQuery,
value: null,
score: null,
}
if (_.isNil(tag)) return retVal
retVal.value = tag.value
retVal.score = /* tag.value <= 0 ? 0 : */ _.round(scorer.calculateScoreRange(40, 100, 1, tag.value, 100, 100), 3)
console.log(retVal);
return retVal
})
}
function scoreFromSimpleRegionProperty(type, region, searchLowParam, searchMaxParam, minMax) {
// console.log('getScoreFromCosts for', region.name, type) // 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) const sc = _.round(scorer.calculateScoreRange(minMax.min[type], minMax.max[type], SETTINGS[type][0], region[type], searchLowParam, searchMaxParam), 3)
@ -263,9 +288,9 @@ module.exports = function (dbConn) {
if (searchLowParam === null) finScore.score = null if (searchLowParam === null) finScore.score = null
return finScore return finScore
} }
function getAverageFromTrivago(travelPeriods, region) { function getAverageFromTrivago(travelPeriods, region) {
// console.log('getAverageFromTrivago for', region.name) // console.log('getAverageFromTrivago for', region.name)
const singleScores = travelPeriods.map(period => { const singleScores = travelPeriods.map(period => {
@ -294,7 +319,4 @@ module.exports = function (dbConn) {
averagedScore.value = _.round(averagedScore.value / averagedScore.days, 2) averagedScore.value = _.round(averagedScore.value / averagedScore.days, 2)
return averagedScore.value return averagedScore.value
}
//end
} }