implemented search for tags feature backend

backend/models/getRegions.js

@@ -1,5 +1,4 @@
 const arrayFormatting = require("../util/databaseArrayFormatting.js");
-const { takeRightWhile } = require("lodash");
 const { allTagsWithValues } = require("./getTags.js");
 
 module.exports = async (dbConn) => {

backend/routes/search.js

@@ -152,6 +152,7 @@ function prepareQueries(queries) {
 
   // others
   if (queries.avg_price_relative) q.others.avg_price_relative = queries.avg_price_relative
+  if (queries.tags) q.others.tags = queries.tags
 
   return q
 }

backend/util/oldToNewQuerySyntax.js

@@ -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.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.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');
     // } catch (error) {
     //     console.log('oldToNewQuerySyntax error');

backend/util/scoreAndSearch.js

@@ -24,6 +24,7 @@ const SETTINGS = {
 
 module.exports = async function (data, from, to, q) {
   console.log('search')
+  console.log(q)
   if ((_.isNil(to) || _.isNil(from)) && !(_.isEmpty(q.climate) || _.isEmpty(q.costs) || _.isEmpty(q.others))) {
     throw new Error('invalid query')
   }
@@ -73,7 +74,7 @@ module.exports = async function (data, from, to, q) {
     
     // CALCULATE SCORES FOR PRICE PROPS
     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)
     });
@@ -84,12 +85,17 @@ module.exports = async function (data, from, to, q) {
       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
     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_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)}€` 
     
     // CALCULATE TOTAL PRICE WITH TRANSPORTATION
@@ -100,11 +106,12 @@ module.exports = async function (data, from, to, q) {
     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 ) )) )
+    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
     // 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))
@@ -250,7 +257,24 @@ function calculateScoreForPeriod(type, travelPeriods, region, searchLowParam, se
   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)
   const sc = _.round(scorer.calculateScoreRange(minMax.min[type], minMax.max[type], SETTINGS[type][0], region[type], searchLowParam, searchMaxParam), 3)