323 lines
8.3 KiB
Go
323 lines
8.3 KiB
Go
/*
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* Copyright (c) 2015 Alex Yatskov <alex@foosoft.net>
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* Author: Alex Yatskov <alex@foosoft.net>
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*
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* Permission is hereby granted, free of charge, to any person obtaining a copy of
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* this software and associated documentation files (the "Software"), to deal in
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* the Software without restriction, including without limitation the rights to
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* use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of
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* the Software, and to permit persons to whom the Software is furnished to do so,
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* subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in all
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* copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS
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* FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR
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* COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER
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* IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN
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* CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
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*/
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package search
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import (
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"database/sql"
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"math"
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"strconv"
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"github.com/GaryBoone/GoStats/stats"
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"github.com/kellydunn/golang-geo"
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)
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func fixFeatures(features map[string]float64) map[string]float64 {
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fixedFeatures := map[string]float64{
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"nearby": 0.0,
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"accessible": 0.0,
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"delicious": 0.0,
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"accommodating": 0.0,
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"affordable": 0.0,
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"atmospheric": 0.0}
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for name := range fixedFeatures {
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if value, ok := features[name]; ok {
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fixedFeatures[name] = value
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}
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}
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return fixedFeatures
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}
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func fixModes(modes map[string]string) map[string]modeType {
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fixedModes := map[string]modeType{
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"nearby": modeTypeProd,
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"accessible": modeTypeProd,
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"delicious": modeTypeProd,
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"accommodating": modeTypeProd,
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"affordable": modeTypeProd,
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"atmospheric": modeTypeProd}
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for name := range fixedModes {
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if value, ok := modes[name]; ok {
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if mode, err := parseModeType(value); err == nil {
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fixedModes[name] = mode
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}
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}
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}
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return fixedModes
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}
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func semanticSimilarity(features1 map[string]float64, features2 map[string]float64) float64 {
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var result float64
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for key, value1 := range features1 {
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if value2, ok := features2[key]; ok {
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result += value1 * value2
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}
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}
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return result
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}
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func semanticCompare(features1 map[string]float64, features2 map[string]float64, modes map[string]modeType) float64 {
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var result float64
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for key, value1 := range features1 {
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value2, _ := features2[key]
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switch mode, _ := modes[key]; mode {
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case modeTypeDist:
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result += 1 - math.Abs(value1-value2)
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case modeTypeProd:
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result += value1 * value2
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}
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}
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return result
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}
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func walkMatches(entries []record, features map[string]float64, modes map[string]modeType, minScore float64, callback func(record, float64)) {
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for _, entry := range entries {
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if score := semanticCompare(features, entry.features, modes); score >= minScore {
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callback(entry, score)
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}
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}
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}
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func statRecords(entries []record, features map[string]float64, modes map[string]modeType, minScore float64) (float64, int) {
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var (
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compatibility float64
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count int
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)
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walkMatches(entries, features, modes, minScore, func(entry record, score float64) {
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compatibility += entry.Compatibility
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count++
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})
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return compatibility, count
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}
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func stepRange(min, max float64, steps int, callback func(float64)) {
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stepSize := (max - min) / float64(steps)
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for i := 0; i < steps; i++ {
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stepMax := max - stepSize*float64(i)
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stepMin := stepMax - stepSize
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stepMid := (stepMin + stepMax) / 2
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callback(stepMid)
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}
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}
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func findRecords(entries []record, features map[string]float64, modes map[string]modeType, minScore float64) []record {
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var matchedEntries []record
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walkMatches(entries, features, modes, minScore, func(entry record, score float64) {
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entry.Score = score
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matchedEntries = append(matchedEntries, entry)
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})
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return matchedEntries
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}
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func project(entries []record, features map[string]float64, modes map[string]modeType, featureName string, minScore float64, steps int) []projection {
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sampleFeatures := make(map[string]float64)
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for key, value := range features {
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sampleFeatures[key] = value
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}
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var projections []projection
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stepRange(-1.0, 1.0, steps, func(sample float64) {
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sample, sampleFeatures[featureName] = sampleFeatures[featureName], sample
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compatibility, count := statRecords(entries, sampleFeatures, modes, minScore)
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sample, sampleFeatures[featureName] = sampleFeatures[featureName], sample
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projections = append(projections, projection{compatibility, count, sample})
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})
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return projections
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}
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func computeRecordGeo(entries []record, context queryContext) {
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var dist stats.Stats
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for index := range entries {
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entry := &entries[index]
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if context.geo != nil {
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userPoint := geo.NewPoint(context.geo.Latitude, context.geo.Longitude)
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entryPoint := geo.NewPoint(entry.Geo.Latitude, context.geo.Longitude)
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entry.DistanceToUser = userPoint.GreatCircleDistance(entryPoint)
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}
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dist.Update(entry.DistanceToUser)
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}
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distRange := dist.Max() - dist.Min()
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distMean := dist.Mean()
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for index := range entries {
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entry := &entries[index]
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var nearby float64
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if distRange > 0.0 {
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nearby = -((entry.DistanceToUser - distMean) / distRange)
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}
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var accessible float64
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if context.walkingDist <= 0 {
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accessible = -1.0
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} else {
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accessible = 1.0 - entry.DistanceToStn/context.walkingDist
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accessible = math.Max(accessible, -1.0)
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accessible = math.Min(accessible, 1.0)
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}
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entry.features["nearby"] = nearby
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entry.features["accessible"] = accessible
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}
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}
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func computeRecordCompat(db *sql.DB, entries []record, context queryContext) error {
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for i := range entries {
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entry := &entries[i]
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historyRows, err := db.Query("SELECT id FROM history WHERE reviewId = (?)", entry.Id)
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if err != nil {
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return err
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}
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defer historyRows.Close()
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var (
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groupSum float64
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groupCount int
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)
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for historyRows.Next() {
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var historyId int
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if err := historyRows.Scan(&historyId); err != nil {
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return err
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}
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groupRows, err := db.Query("SELECT categoryId, categoryValue FROM historyGroups WHERE historyId = (?)", historyId)
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if err != nil {
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return err
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}
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defer groupRows.Close()
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recordProfile := make(map[string]float64)
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for groupRows.Next() {
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var (
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categoryId int
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categoryValue float64
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)
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if err := groupRows.Scan(&categoryId, &categoryValue); err != nil {
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return err
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}
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recordProfile[strconv.Itoa(categoryId)] = categoryValue
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}
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if err := groupRows.Err(); err != nil {
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return err
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}
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groupSum += semanticSimilarity(recordProfile, context.profile)
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groupCount++
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}
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if err := historyRows.Err(); err != nil {
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return err
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}
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if groupCount > 0 {
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entry.Compatibility = groupSum / float64(groupCount)
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}
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}
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return nil
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}
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func fetchRecords(db *sql.DB, context queryContext) ([]record, error) {
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rows, err := db.Query("SELECT name, address, delicious, accommodating, affordable, atmospheric, latitude, longitude, closestStnDist, closestStnName, accessCount, id FROM reviews")
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if err != nil {
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return nil, err
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}
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defer rows.Close()
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var entries []record
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for rows.Next() {
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var (
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name, address, closestStn string
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delicious, accommodating, affordable, atmospheric float64
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latitude, longitude, distanceToStn float64
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accessCount, id int
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)
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rows.Scan(
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&name,
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&address,
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&delicious,
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&accommodating,
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&affordable,
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&atmospheric,
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&latitude,
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&longitude,
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&distanceToStn,
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&closestStn,
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&accessCount,
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&id,
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)
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entry := record{
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Name: name,
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Address: address,
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DistanceToStn: distanceToStn,
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ClosestStn: closestStn,
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AccessCount: accessCount,
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Geo: geoData{latitude, longitude},
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Id: id,
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}
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entry.features = map[string]float64{
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"delicious": delicious,
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"accommodating": accommodating,
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"affordable": affordable,
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"atmospheric": atmospheric,
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}
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entries = append(entries, entry)
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}
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if err := rows.Err(); err != nil {
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return nil, err
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}
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computeRecordGeo(entries, context)
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if err := computeRecordCompat(db, entries, context); err != nil {
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return nil, err
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}
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return entries, nil
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}
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