HappyProcess · heyoonyoon · Jun 10, 2026
diff --git a/src/main/java/com/haapyProcess/domain/analysis/controller/AnalysisController.java b/src/main/java/com/haapyProcess/domain/analysis/controller/AnalysisController.java
@@ -47,6 +47,7 @@ public class AnalysisController {
                 | └ diseaseId | 원인 질병 ID | Long | |
                 | └ diseaseName | 원인 질병 이름 | String | |
                 | └ weatherScore | 질환별 날씨 점수 (0=최악, 100=최고) | int | 위험 요인이 없어도 점수는 제공 |
+                | └ scoreFactors | 점수를 크게 깎은 주요 날씨 지수 이름 배열 (예: 초미세먼지) | List<String> | 영향 큰 순, 최대 2개. 양호하면 빈 배열 |
                 | └ factorGuides | 날씨 원인 및 맞춤 행동 강령 배열 | List<Object> | 위험 요인이 없으면 빈 배열 |
                 | &nbsp;&nbsp;&nbsp;└ factorName | 초과한 날씨 요인 (예: 미세먼지) | String | |
                 | &nbsp;&nbsp;&nbsp;└ guide | 행동 추천 가이드 | String | |

diff --git a/src/main/java/com/haapyProcess/domain/analysis/dto/RiskAnalysisResult.java b/src/main/java/com/haapyProcess/domain/analysis/dto/RiskAnalysisResult.java
@@ -27,6 +27,7 @@ public static class RiskDetail {
         private Long diseaseId;
         private String diseaseName;
         private int weatherScore; // 질환별 날씨 점수 (0=최악, 100=최고)
+        private List<String> scoreFactors; // 점수를 크게 깎은 주요 날씨 지수 (최대 2개, 영향 큰 순)
         private List<FactorGuide> factorGuides;
     }
 

diff --git a/src/main/java/com/haapyProcess/domain/analysis/rule/DiseaseRiskRule.java b/src/main/java/com/haapyProcess/domain/analysis/rule/DiseaseRiskRule.java
@@ -1,6 +1,7 @@
 package com.haapyProcess.domain.analysis.rule;
 
 import com.haapyProcess.domain.analysis.dto.RiskAnalysisResult.FactorGuide;
+import com.haapyProcess.domain.analysis.score.WeatherScore;
 import com.haapyProcess.domain.member.entity.PrecipPreference;
 import com.haapyProcess.domain.weather.dto.WeatherResponseDto;
 
@@ -19,10 +20,10 @@ public interface DiseaseRiskRule {
     List<FactorGuide> evaluateFactorGuides(WeatherResponseDto weather);
 
     /**
-     * 질환별 가중치를 적용한 날씨 점수(0~100)를 반환합니다.
+     * 질환별 가중치를 적용한 날씨 점수(0~100)와 점수 하락의 주요 원인 지수를 반환합니다.
      * 0점 = 최악의 날씨, 100점 = 최고의 날씨.
      * precipPreference는 질병 없는 사용자의 강수 불편도 산정에만 사용됩니다.
      */
-    int evaluateWeatherScore(WeatherResponseDto weather, PrecipPreference precipPreference);
+    WeatherScore evaluateWeatherScore(WeatherResponseDto weather, PrecipPreference precipPreference);
 
 }
diff --git a/src/main/java/com/haapyProcess/domain/analysis/rule/impl/ArthritisRiskRule.java b/src/main/java/com/haapyProcess/domain/analysis/rule/impl/ArthritisRiskRule.java
@@ -3,6 +3,8 @@
 import com.haapyProcess.domain.analysis.criteria.WeatherRiskCriteria;
 import com.haapyProcess.domain.analysis.dto.RiskAnalysisResult.FactorGuide;
 import com.haapyProcess.domain.analysis.rule.DiseaseRiskRule;
+import com.haapyProcess.domain.analysis.score.ScoreBuilder;
+import com.haapyProcess.domain.analysis.score.WeatherScore;
 import com.haapyProcess.domain.analysis.score.WeatherScoreTables;
 import com.haapyProcess.domain.member.entity.PrecipPreference;
 import com.haapyProcess.domain.weather.dto.WeatherResponseDto;
@@ -42,13 +44,15 @@ public List<FactorGuide> evaluateFactorGuides(WeatherResponseDto weather) {
     }
 
     @Override
-    public int evaluateWeatherScore(WeatherResponseDto weather, PrecipPreference precipPreference) {
+    public WeatherScore evaluateWeatherScore(WeatherResponseDto weather, PrecipPreference precipPreference) {
         // 6시간 기온 급감 (하강 폭만 사용)
         int tempDrop = WeatherScoreTables.tempChange(weather.getTempDropIn6Hours());
         // 강수형태 코드 1(비), 2(비/눈), 3(눈)만 적용
         int precip = WeatherScoreTables.precipSensitive(weather.getParsedCurrentPty(), Set.of(1, 2, 3));
 
-        double raw = tempDrop * 0.60 + precip * 0.40;
-        return 100 - (int) Math.round(raw);
+        return ScoreBuilder.create()
+                .add("기온 급강하", tempDrop, 0.60)
+                .add("강수", precip, 0.40)
+                .build();
     }
 }
diff --git a/src/main/java/com/haapyProcess/domain/analysis/rule/impl/AsthmaRiskRule.java b/src/main/java/com/haapyProcess/domain/analysis/rule/impl/AsthmaRiskRule.java
@@ -3,6 +3,8 @@
 import com.haapyProcess.domain.analysis.criteria.WeatherRiskCriteria;
 import com.haapyProcess.domain.analysis.dto.RiskAnalysisResult.FactorGuide;
 import com.haapyProcess.domain.analysis.rule.DiseaseRiskRule;
+import com.haapyProcess.domain.analysis.score.ScoreBuilder;
+import com.haapyProcess.domain.analysis.score.WeatherScore;
 import com.haapyProcess.domain.analysis.score.WeatherScoreTables;
 import com.haapyProcess.domain.member.entity.PrecipPreference;
 import com.haapyProcess.domain.weather.dto.WeatherResponseDto;
@@ -44,24 +46,32 @@ public List<FactorGuide> evaluateFactorGuides(WeatherResponseDto weather) {
     }
 
     @Override
-    public int evaluateWeatherScore(WeatherResponseDto weather, PrecipPreference precipPreference) {
+    public WeatherScore evaluateWeatherScore(WeatherResponseDto weather, PrecipPreference precipPreference) {
         int pm25 = WeatherScoreTables.pm25(weather.getParsedPm25Value());
         int pm10 = WeatherScoreTables.pm10(weather.getParsedPm10Value());
         int temp = WeatherScoreTables.temp(weather.getParsedCurrentTemp());
         double tempChangeVal = Math.max(weather.getTempDropIn6Hours(), weather.getTempRiseIn6Hours());
         int tempChange = WeatherScoreTables.tempChange(tempChangeVal);
 
-        double raw;
         int month = java.time.LocalDate.now().getMonthValue();
         boolean pollenOffSeason = (month == 7 || month == 11 || month == 12 || month == 1 || month == 2);
 
         if (pollenOffSeason) {
             // 꽃가루 계수(0.35) 제외 후 나머지 변수를 재정규화 (÷0.65)
-            raw = (pm25 * 0.30 + pm10 * 0.20 + temp * 0.10 + tempChange * 0.05) / 0.65;
-        } else {
-            int pollen = WeatherScoreTables.pollen(weather.getParsedPollenRisk());
-            raw = pollen * 0.35 + pm25 * 0.30 + pm10 * 0.20 + temp * 0.10 + tempChange * 0.05;
+            return ScoreBuilder.create()
+                    .add("초미세먼지", pm25, 0.30 / 0.65)
+                    .add("미세먼지", pm10, 0.20 / 0.65)
+                    .add("기온", temp, 0.10 / 0.65)
+                    .add("기온 급변", tempChange, 0.05 / 0.65)
+                    .build();
         }
-        return 100 - (int) Math.round(raw);
+        int pollen = WeatherScoreTables.pollen(weather.getParsedPollenRisk());
+        return ScoreBuilder.create()
+                .add("꽃가루", pollen, 0.35)
+                .add("초미세먼지", pm25, 0.30)
+                .add("미세먼지", pm10, 0.20)
+                .add("기온", temp, 0.10)
+                .add("기온 급변", tempChange, 0.05)
+                .build();
     }
 }
diff --git a/src/main/java/com/haapyProcess/domain/analysis/rule/impl/ChildRiskRule.java b/src/main/java/com/haapyProcess/domain/analysis/rule/impl/ChildRiskRule.java
@@ -3,6 +3,8 @@
 import com.haapyProcess.domain.analysis.criteria.WeatherRiskCriteria;
 import com.haapyProcess.domain.analysis.dto.RiskAnalysisResult.FactorGuide;
 import com.haapyProcess.domain.analysis.rule.DiseaseRiskRule;
+import com.haapyProcess.domain.analysis.score.ScoreBuilder;
+import com.haapyProcess.domain.analysis.score.WeatherScore;
 import com.haapyProcess.domain.analysis.score.WeatherScoreTables;
 import com.haapyProcess.domain.member.entity.PrecipPreference;
 import com.haapyProcess.domain.weather.dto.WeatherResponseDto;
@@ -49,12 +51,13 @@ public List<FactorGuide> evaluateFactorGuides(WeatherResponseDto weather) {
     }
 
     @Override
-    public int evaluateWeatherScore(WeatherResponseDto weather, PrecipPreference precipPreference) {
-        double raw = WeatherScoreTables.pm25(weather.getParsedPm25Value()) * 0.30
-                + WeatherScoreTables.pm10(weather.getParsedPm10Value()) * 0.25
-                + WeatherScoreTables.temp(weather.getParsedCurrentTemp()) * 0.20
-                + WeatherScoreTables.uv(weather.getParsedUvRisk()) * 0.15
-                + WeatherScoreTables.precipSensitive(weather.getParsedCurrentPty(), Set.of(1, 2, 3)) * 0.10;
-        return 100 - (int) Math.round(raw);
+    public WeatherScore evaluateWeatherScore(WeatherResponseDto weather, PrecipPreference precipPreference) {
+        return ScoreBuilder.create()
+                .add("초미세먼지", WeatherScoreTables.pm25(weather.getParsedPm25Value()), 0.30)
+                .add("미세먼지", WeatherScoreTables.pm10(weather.getParsedPm10Value()), 0.25)
+                .add("기온", WeatherScoreTables.temp(weather.getParsedCurrentTemp()), 0.20)
+                .add("자외선", WeatherScoreTables.uv(weather.getParsedUvRisk()), 0.15)
+                .add("강수", WeatherScoreTables.precipSensitive(weather.getParsedCurrentPty(), Set.of(1, 2, 3)), 0.10)
+                .build();
     }
 }
diff --git a/src/main/java/com/haapyProcess/domain/analysis/rule/impl/DermatitisRiskRule.java b/src/main/java/com/haapyProcess/domain/analysis/rule/impl/DermatitisRiskRule.java
@@ -3,6 +3,8 @@
 import com.haapyProcess.domain.analysis.criteria.WeatherRiskCriteria;
 import com.haapyProcess.domain.analysis.dto.RiskAnalysisResult.FactorGuide;
 import com.haapyProcess.domain.analysis.rule.DiseaseRiskRule;
+import com.haapyProcess.domain.analysis.score.ScoreBuilder;
+import com.haapyProcess.domain.analysis.score.WeatherScore;
 import com.haapyProcess.domain.analysis.score.WeatherScoreTables;
 import com.haapyProcess.domain.member.entity.PrecipPreference;
 import com.haapyProcess.domain.weather.dto.WeatherResponseDto;
@@ -42,20 +44,19 @@ public List<FactorGuide> evaluateFactorGuides(WeatherResponseDto weather) {
     }
 
     @Override
-    public int evaluateWeatherScore(WeatherResponseDto weather, PrecipPreference precipPreference) {
+    public WeatherScore evaluateWeatherScore(WeatherResponseDto weather, PrecipPreference precipPreference) {
         double humidity = weather.getParsedHumidity();
 
+        ScoreBuilder builder = ScoreBuilder.create()
+                .add("자외선", WeatherScoreTables.uv(weather.getParsedUvRisk()), 0.50);
+
         // 습도 낮음(30% 미만)과 높음(80% 이상)은 반대 방향 조건이라 별도 처리한다.
-        double humidityScore;
         if (humidity < 30) {
-            humidityScore = WeatherScoreTables.humidityDry(humidity) * 0.30;
+            builder.add("건조", WeatherScoreTables.humidityDry(humidity), 0.30);
         } else if (humidity >= 80) {
-            humidityScore = WeatherScoreTables.humidityWet(humidity) * 0.20;
-        } else {
-            humidityScore = 0;
+            builder.add("높은 습도", WeatherScoreTables.humidityWet(humidity), 0.20);
         }
 
-        double raw = WeatherScoreTables.uv(weather.getParsedUvRisk()) * 0.50 + humidityScore;
-        return 100 - (int) Math.round(raw);
+        return builder.build();
     }
 }
diff --git a/src/main/java/com/haapyProcess/domain/analysis/rule/impl/DiabetesRiskRule.java b/src/main/java/com/haapyProcess/domain/analysis/rule/impl/DiabetesRiskRule.java
@@ -3,6 +3,8 @@
 import com.haapyProcess.domain.analysis.criteria.WeatherRiskCriteria;
 import com.haapyProcess.domain.analysis.dto.RiskAnalysisResult.FactorGuide;
 import com.haapyProcess.domain.analysis.rule.DiseaseRiskRule;
+import com.haapyProcess.domain.analysis.score.ScoreBuilder;
+import com.haapyProcess.domain.analysis.score.WeatherScore;
 import com.haapyProcess.domain.analysis.score.WeatherScoreTables;
 import com.haapyProcess.domain.member.entity.PrecipPreference;
 import com.haapyProcess.domain.weather.dto.WeatherResponseDto;
@@ -40,10 +42,11 @@ public List<FactorGuide> evaluateFactorGuides(WeatherResponseDto weather) {
     }
 
     @Override
-    public int evaluateWeatherScore(WeatherResponseDto weather, PrecipPreference precipPreference) {
+    public WeatherScore evaluateWeatherScore(WeatherResponseDto weather, PrecipPreference precipPreference) {
         // 당뇨는 폭염(탈수)이 핵심이므로 고온 점수를 사용한다.
-        double raw = WeatherScoreTables.tempHeat(weather.getParsedCurrentTemp()) * 0.65
-                + WeatherScoreTables.humidityWet(weather.getParsedHumidity()) * 0.35;
-        return 100 - (int) Math.round(raw);
+        return ScoreBuilder.create()
+                .add("기온", WeatherScoreTables.tempHeat(weather.getParsedCurrentTemp()), 0.65)
+                .add("높은 습도", WeatherScoreTables.humidityWet(weather.getParsedHumidity()), 0.35)
+                .build();
     }
 }
diff --git a/src/main/java/com/haapyProcess/domain/analysis/rule/impl/DryEyeRiskRule.java b/src/main/java/com/haapyProcess/domain/analysis/rule/impl/DryEyeRiskRule.java
@@ -3,6 +3,8 @@
 import com.haapyProcess.domain.analysis.criteria.WeatherRiskCriteria;
 import com.haapyProcess.domain.analysis.dto.RiskAnalysisResult.FactorGuide;
 import com.haapyProcess.domain.analysis.rule.DiseaseRiskRule;
+import com.haapyProcess.domain.analysis.score.ScoreBuilder;
+import com.haapyProcess.domain.analysis.score.WeatherScore;
 import com.haapyProcess.domain.analysis.score.WeatherScoreTables;
 import com.haapyProcess.domain.member.entity.PrecipPreference;
 import com.haapyProcess.domain.weather.dto.WeatherResponseDto;
@@ -40,9 +42,10 @@ public List<FactorGuide> evaluateFactorGuides(WeatherResponseDto weather) {
     }
 
     @Override
-    public int evaluateWeatherScore(WeatherResponseDto weather, PrecipPreference precipPreference) {
-        double raw = WeatherScoreTables.humidityDry(weather.getParsedHumidity()) * 0.75
-                + WeatherScoreTables.uv(weather.getParsedUvRisk()) * 0.25;
-        return 100 - (int) Math.round(raw);
+    public WeatherScore evaluateWeatherScore(WeatherResponseDto weather, PrecipPreference precipPreference) {
+        return ScoreBuilder.create()
+                .add("건조", WeatherScoreTables.humidityDry(weather.getParsedHumidity()), 0.75)
+                .add("자외선", WeatherScoreTables.uv(weather.getParsedUvRisk()), 0.25)
+                .build();
     }
 }
diff --git a/src/main/java/com/haapyProcess/domain/analysis/rule/impl/ElderlyRiskRule.java b/src/main/java/com/haapyProcess/domain/analysis/rule/impl/ElderlyRiskRule.java
@@ -3,6 +3,8 @@
 import com.haapyProcess.domain.analysis.criteria.WeatherRiskCriteria;
 import com.haapyProcess.domain.analysis.dto.RiskAnalysisResult.FactorGuide;
 import com.haapyProcess.domain.analysis.rule.DiseaseRiskRule;
+import com.haapyProcess.domain.analysis.score.ScoreBuilder;
+import com.haapyProcess.domain.analysis.score.WeatherScore;
 import com.haapyProcess.domain.analysis.score.WeatherScoreTables;
 import com.haapyProcess.domain.member.entity.PrecipPreference;
 import com.haapyProcess.domain.weather.dto.WeatherResponseDto;
@@ -48,13 +50,14 @@ public List<FactorGuide> evaluateFactorGuides(WeatherResponseDto weather) {
     }
 
     @Override
-    public int evaluateWeatherScore(WeatherResponseDto weather, PrecipPreference precipPreference) {
+    public WeatherScore evaluateWeatherScore(WeatherResponseDto weather, PrecipPreference precipPreference) {
         double changeVal = Math.max(weather.getTempDropIn6Hours(), weather.getTempRiseIn6Hours());
         // 고령 강수형태는 빙판길 낙상 위험 중심으로 코드 2(비/눈), 3(눈)만 적용
-        double raw = WeatherScoreTables.temp(weather.getParsedCurrentTemp()) * 0.30
-                + WeatherScoreTables.tempChange(changeVal) * 0.30
-                + WeatherScoreTables.pm10(weather.getParsedPm10Value()) * 0.20
-                + WeatherScoreTables.precipSensitive(weather.getParsedCurrentPty(), Set.of(2, 3)) * 0.20;
-        return 100 - (int) Math.round(raw);
+        return ScoreBuilder.create()
+                .add("기온", WeatherScoreTables.temp(weather.getParsedCurrentTemp()), 0.30)
+                .add("기온 급변", WeatherScoreTables.tempChange(changeVal), 0.30)
+                .add("미세먼지", WeatherScoreTables.pm10(weather.getParsedPm10Value()), 0.20)
+                .add("강수", WeatherScoreTables.precipSensitive(weather.getParsedCurrentPty(), Set.of(2, 3)), 0.20)
+                .build();
     }
 }
diff --git a/src/main/java/com/haapyProcess/domain/analysis/rule/impl/HeartDiseaseRiskRule.java b/src/main/java/com/haapyProcess/domain/analysis/rule/impl/HeartDiseaseRiskRule.java
@@ -3,6 +3,8 @@
 import com.haapyProcess.domain.analysis.criteria.WeatherRiskCriteria;
 import com.haapyProcess.domain.analysis.dto.RiskAnalysisResult.FactorGuide;
 import com.haapyProcess.domain.analysis.rule.DiseaseRiskRule;
+import com.haapyProcess.domain.analysis.score.ScoreBuilder;
+import com.haapyProcess.domain.analysis.score.WeatherScore;
 import com.haapyProcess.domain.analysis.score.WeatherScoreTables;
 import com.haapyProcess.domain.member.entity.PrecipPreference;
 import com.haapyProcess.domain.weather.dto.WeatherResponseDto;
@@ -42,11 +44,12 @@ public List<FactorGuide> evaluateFactorGuides(WeatherResponseDto weather) {
     }
 
     @Override
-    public int evaluateWeatherScore(WeatherResponseDto weather, PrecipPreference precipPreference) {
+    public WeatherScore evaluateWeatherScore(WeatherResponseDto weather, PrecipPreference precipPreference) {
         double changeVal = Math.max(weather.getTempDropIn6Hours(), weather.getTempRiseIn6Hours());
-        double raw = WeatherScoreTables.pm25(weather.getParsedPm25Value()) * 0.40
-                + WeatherScoreTables.temp(weather.getParsedCurrentTemp()) * 0.35
-                + WeatherScoreTables.tempChange(changeVal) * 0.25;
-        return 100 - (int) Math.round(raw);
+        return ScoreBuilder.create()
+                .add("초미세먼지", WeatherScoreTables.pm25(weather.getParsedPm25Value()), 0.40)
+                .add("기온", WeatherScoreTables.temp(weather.getParsedCurrentTemp()), 0.35)
+                .add("기온 급변", WeatherScoreTables.tempChange(changeVal), 0.25)
+                .build();
     }
 }
diff --git a/src/main/java/com/haapyProcess/domain/analysis/rule/impl/HypertensionRiskRule.java b/src/main/java/com/haapyProcess/domain/analysis/rule/impl/HypertensionRiskRule.java
@@ -3,6 +3,8 @@
 import com.haapyProcess.domain.analysis.criteria.WeatherRiskCriteria;
 import com.haapyProcess.domain.analysis.dto.RiskAnalysisResult.FactorGuide;
 import com.haapyProcess.domain.analysis.rule.DiseaseRiskRule;
+import com.haapyProcess.domain.analysis.score.ScoreBuilder;
+import com.haapyProcess.domain.analysis.score.WeatherScore;
 import com.haapyProcess.domain.analysis.score.WeatherScoreTables;
 import com.haapyProcess.domain.member.entity.PrecipPreference;
 import com.haapyProcess.domain.weather.dto.WeatherResponseDto;
@@ -46,12 +48,14 @@ public List<FactorGuide> evaluateFactorGuides(WeatherResponseDto weather) {
     }
 
     @Override
-    public int evaluateWeatherScore(WeatherResponseDto weather, PrecipPreference precipPreference) {
+    public WeatherScore evaluateWeatherScore(WeatherResponseDto weather, PrecipPreference precipPreference) {
         int temp = WeatherScoreTables.temp(weather.getParsedCurrentTemp());
         double changeVal = Math.max(weather.getTempDropIn6Hours(), weather.getTempRiseIn6Hours());
         int tempChange = WeatherScoreTables.tempChange(changeVal);
 
-        double raw = temp * 0.55 + tempChange * 0.45;
-        return 100 - (int) Math.round(raw);
+        return ScoreBuilder.create()
+                .add("기온", temp, 0.55)
+                .add("기온 급변", tempChange, 0.45)
+                .build();
     }
 }
diff --git a/src/main/java/com/haapyProcess/domain/analysis/rule/impl/NormalRiskRule.java b/src/main/java/com/haapyProcess/domain/analysis/rule/impl/NormalRiskRule.java
@@ -3,6 +3,8 @@
 import com.haapyProcess.domain.analysis.criteria.WeatherRiskCriteria;
 import com.haapyProcess.domain.analysis.dto.RiskAnalysisResult.FactorGuide;
 import com.haapyProcess.domain.analysis.rule.DiseaseRiskRule;
+import com.haapyProcess.domain.analysis.score.ScoreBuilder;
+import com.haapyProcess.domain.analysis.score.WeatherScore;
 import com.haapyProcess.domain.analysis.score.WeatherScoreTables;
 import com.haapyProcess.domain.member.entity.PrecipPreference;
 import com.haapyProcess.domain.weather.dto.WeatherResponseDto;
@@ -65,17 +67,14 @@ public List<FactorGuide> evaluateFactorGuides(WeatherResponseDto weather) {
     }
 
     @Override
-    public int evaluateWeatherScore(WeatherResponseDto weather, PrecipPreference precipPreference) {
-        // 건강 위험도 (공통)
-        double health = WeatherScoreTables.pm10(weather.getParsedPm10Value()) * 0.35
-                + WeatherScoreTables.pm25(weather.getParsedPm25Value()) * 0.35
-                + WeatherScoreTables.temp(weather.getParsedCurrentTemp()) * 0.20
-                + WeatherScoreTables.uv(weather.getParsedUvRisk()) * 0.10;
-
-        // 강수 불편도 (개인 선호 기반 가산점)
-        double precip = WeatherScoreTables.precipNormal(weather.getParsedCurrentPty(), precipPreference) * 0.13;
-
-        double raw = Math.min(health + precip, 100.0);
-        return 100 - (int) Math.round(raw);
+    public WeatherScore evaluateWeatherScore(WeatherResponseDto weather, PrecipPreference precipPreference) {
+        // 건강 위험도(공통) + 강수 불편도(개인 선호 기반 가산점). 총합은 build()에서 100으로 상한 처리된다.
+        return ScoreBuilder.create()
+                .add("미세먼지", WeatherScoreTables.pm10(weather.getParsedPm10Value()), 0.35)
+                .add("초미세먼지", WeatherScoreTables.pm25(weather.getParsedPm25Value()), 0.35)
+                .add("기온", WeatherScoreTables.temp(weather.getParsedCurrentTemp()), 0.20)
+                .add("자외선", WeatherScoreTables.uv(weather.getParsedUvRisk()), 0.10)
+                .add("강수", WeatherScoreTables.precipNormal(weather.getParsedCurrentPty(), precipPreference), 0.13)
+                .build();
     }
 }