implemented scoring for prices

This commit is contained in:
Timo Volkmann 2020-06-17 21:00:13 +02:00
parent 0d82057383
commit 337c1e49cf
5 changed files with 96 additions and 17 deletions

5
.vscode/launch.json vendored
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@ -10,8 +10,9 @@
"name": "NodeJS: nodemon debug", "name": "NodeJS: nodemon debug",
"program": "${workspaceFolder}/backend/index.js", "program": "${workspaceFolder}/backend/index.js",
"request": "launch", "request": "launch",
"restart": true, // "restart": true,
"runtimeExecutable": "nodemon", "runtimeExecutable": "node",
// "runtimeExecutable": "nodemon",
"skipFiles": [ "skipFiles": [
"<node_internals>/**" "<node_internals>/**"
], ],

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@ -42,7 +42,13 @@ function searchHandler(dbConn) {
if (q.precipitation) scoreQueryObj['precipitation'] = q.precipitation if (q.precipitation) scoreQueryObj['precipitation'] = q.precipitation
if (q.rain_days) scoreQueryObj['rain_days'] = q.rain_days if (q.rain_days) scoreQueryObj['rain_days'] = q.rain_days
if (q.sun_hours) scoreQueryObj['sun_hours'] = q.sun_hours if (q.sun_hours) scoreQueryObj['sun_hours'] = q.sun_hours
if (q.accommodation_costs) scoreQueryObj['accommodation_costs'] = q.accomodation_costs if (q.accommodation_costs) scoreQueryObj['accommodation_costs'] = q.accommodation_costs
if (q.food_costs) scoreQueryObj['food_costs'] = q.food_costs
if (q.alcohol_costs) scoreQueryObj['alcohol_costs'] = q.alcohol_costs
if (q.water_costs) scoreQueryObj['water_costs'] = q.water_costs
if (q.public_transportation_costs) scoreQueryObj['public_transportation_costs'] = q.public_transportation_costs
if (q.entertainment_costs) scoreQueryObj['entertainment_costs'] = q.entertainment_costs
if (q.average_per_day_costs) scoreQueryObj['average_per_day_costs'] = q.average_per_day_costs
//console.log(scoreQueryObj) //console.log(scoreQueryObj)

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@ -5,11 +5,17 @@ exports.oldToNewQuerySyntax = function (queries) {
if (queries.precipitation) res.precipitation = [Number(queries.precipitation.split(',')[0]), Number(queries.precipitation.split(',')[1])] if (queries.precipitation) res.precipitation = [Number(queries.precipitation.split(',')[0]), Number(queries.precipitation.split(',')[1])]
if (queries.rain_days) res.rain_days = [Number(queries.rain_days.split(',')[0]), Number(queries.rain_days.split(',')[1])] if (queries.rain_days) res.rain_days = [Number(queries.rain_days.split(',')[0]), Number(queries.rain_days.split(',')[1])]
if (queries.sun_hours) res.sun_hours = [Number(queries.sun_hours.split(',')[0]), Number(queries.sun_hours.split(',')[1])] if (queries.sun_hours) res.sun_hours = [Number(queries.sun_hours.split(',')[0]), Number(queries.sun_hours.split(',')[1])]
if (queries.accomodation_costs) res.sun_hours = [Number(queries.accomodation_costs.split(',')[0]), Number(queries.accomodation_costs.split(',')[1])]
// @TimoJ hier noch Parameter hinzufügen wenn du die alte syntax nutzen willst, ansonsten egal if (queries.accommodation_costs) res.accommodation_costs = [Number(queries.accommodation_costs.split(',')[0]), Number(queries.accommodation_costs.split(',')[1])]
if (queries.food_costs) res.food_costs = [Number(queries.food_costs.split(',')[0]), Number(queries.food_costs.split(',')[1])]
if (queries.alcohol_costs) res.alcohol_costs = [Number(queries.alcohol_costs.split(',')[0]), Number(queries.alcohol_costs.split(',')[1])]
if (queries.water_costs) res.water_costs = [Number(queries.water_costs.split(',')[0]), Number(queries.water_costs.split(',')[1])]
if (queries.public_transportation_costs) res.public_transportation_costs = [Number(queries.public_transportation_costs.split(',')[0]), Number(queries.public_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.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])]
console.log('queries successfully transformed'); console.log('queries successfully transformed');
} catch (error) { } catch (error) {
console.log('queries are ok'); console.log('oldToNewQuerySyntax error');
return queries return queries
} }
return res return res

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@ -5,7 +5,7 @@ exports.calculateAvgScore = (...scores) => {
} }
exports.calculateScoreRange = (min, max, multiplier, regionVal, sLowVal, sHighVal) => { exports.calculateScoreRange = (min, max, multiplier, regionVal, sLowVal, sHighVal) => {
//console.log('scores.calculateScoreRange:', min, max, multiplier, regionVal, sLowVal, sHighVal) console.log('scores.calculateScoreRange:', min, max, multiplier, regionVal, sLowVal, sHighVal)
// return full score when in range // return full score when in range
if (regionVal >= sLowVal && regionVal <= sHighVal) return 10; if (regionVal >= sLowVal && regionVal <= sHighVal) return 10;
// choose value with smallest distance // choose value with smallest distance

View File

@ -13,7 +13,13 @@ const MULTIPLIER = {
precipitation: 3.5, precipitation: 3.5,
rain_days: 3, rain_days: 3,
sun_hours: 2.5, sun_hours: 2.5,
accomodation_costs: 1 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) { module.exports = function (dbConn) {
@ -25,17 +31,38 @@ module.exports = function (dbConn) {
// transform syntax and seperate climate queries from price queries // transform syntax and seperate climate queries from price queries
queries = oldToNewQuerySyntax.oldToNewQuerySyntax(queries) queries = oldToNewQuerySyntax.oldToNewQuerySyntax(queries)
// console.log(queries) console.log(queries)
const q = prepareQueries(queries) const q = prepareQueries(queries)
// console.log(q) console.log('q', q)
// for calculating average if traveldates are in more than one month // for calculating average if traveldates are in more than one month
const travelPeriods = travelPeriodsFromDates(dates) const travelPeriods = travelPeriodsFromDates(dates)
// FETCH DATA FROM DB // FETCH DATA FROM DB
const minMax = await getClimateMinMax.getClimateMinMax(dbConn) const boundaryClimate = await getClimateMinMax.getClimateMinMax(dbConn)
let regions = await getRegions(dbConn) let regions = await getRegions(dbConn)
regions.forEach(reg => reg.scores = []) 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 // little tweak to show score object without request
if (SHOW_ALL_SCOREOBJECTS) { if (SHOW_ALL_SCOREOBJECTS) {
@ -43,16 +70,26 @@ module.exports = function (dbConn) {
if (!q.climate.precipitation) q.climate.precipitation = [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.rain_days) q.climate.rain_days = [null, null]
if (!q.climate.sun_hours) q.climate.sun_hours = [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 // CALCULATE SCORES FOR CLIMATE PROPS
regions.forEach(reg => { regions.forEach(reg => {
Object.entries(q.climate).forEach(([key, value]) => { Object.entries(q.climate).forEach(([key, value]) => {
// console.log('key', key) // console.log('key', key)
// console.log('val', value[0], value[1]) // console.log('val', value[0], value[1])
let finalScoreObj = getScoreAndAverage(key, travelPeriods, reg, value[0], value[1], minMax) let finalScoreObj = getScoreAndAverageFromClimate(key, travelPeriods, reg, value[0], value[1], boundaryClimate)
reg.scores.push(finalScoreObj) reg.scores.push(finalScoreObj)
}); });
// CALCULATE SCORES FOR PRICE PROPS // 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 // CALCULATE AVERAGE SCORE
@ -78,15 +115,22 @@ module.exports = function (dbConn) {
if (queries.precipitation) q.climate.precipitation = queries.precipitation if (queries.precipitation) q.climate.precipitation = queries.precipitation
if (queries.rain_days) q.climate.rain_days = queries.rain_days if (queries.rain_days) q.climate.rain_days = queries.rain_days
if (queries.sun_hours) q.climate.sun_hours = queries.sun_hours if (queries.sun_hours) q.climate.sun_hours = queries.sun_hours
// costs // costs
if (queries.accomodation_costs) q.climate.accomodation_costs = queries.accomodation_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 return q
} }
function travelPeriodsFromDates(dates) { function travelPeriodsFromDates(dates) {
//console.log(dates); //console.log(dates);
let travelPeriods = [] let travelPeriods = []
if (dates.from.month === dates.to.month) { if (dates.from.month === dates.to.month) {
let period = { let period = {
@ -148,8 +192,8 @@ module.exports = function (dbConn) {
return fromAndTo return fromAndTo
} }
function getScoreAndAverage(type, travelPeriods, region, searchLowParam, searchMaxParam, minMax) { function getScoreAndAverageFromClimate(type, travelPeriods, region, searchLowParam, searchMaxParam, minMax) {
console.log('calculateScores for', region.name, type) console.log('getScoreAndAverageFromClimate for', region.name, type)
// console.log(type, travelPeriods, searchLowParam, searchMaxParam) // console.log(type, travelPeriods, searchLowParam, searchMaxParam)
const singleScores = travelPeriods.map(period => { const singleScores = travelPeriods.map(period => {
@ -162,7 +206,7 @@ module.exports = function (dbConn) {
days: period.days days: period.days
} }
//console.log(res); //console.log(res);
return res return res
}) })
@ -191,4 +235,26 @@ module.exports = function (dbConn) {
return averagedScore 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
} }