feat : 분석 프롬프트 수정(리뷰 분석시 부정의견 추가.)

analytics/src/main/java/com/ktds/hi/analytics/biz/domain/AiFeedback.java

@@ -4,6 +4,7 @@ import lombok.AllArgsConstructor;
 import lombok.Builder;
 import lombok.Getter;
 import lombok.NoArgsConstructor;
+import lombok.ToString;
 
 import java.time.LocalDateTime;
 import java.util.List;
@@ -16,12 +17,14 @@ import java.util.List;
 @Builder
 @NoArgsConstructor
 @AllArgsConstructor
+@ToString
 public class AiFeedback {
     
     private Long id;
     private Long storeId;
     private String summary;
     private List<String> positivePoints;
+    private List<String> negativePoints;
     private List<String> improvementPoints;
     private List<String> recommendations;
     private String sentimentAnalysis;

analytics/src/main/java/com/ktds/hi/analytics/biz/service/AnalyticsService.java

@@ -123,6 +123,7 @@ public class AnalyticsService implements AnalyticsUseCase {
                     .storeId(storeId)
                     .summary(aiFeedback.get().getSummary())
                     .positivePoints(aiFeedback.get().getPositivePoints())
+                    .negativePoints(aiFeedback.get().getNegativePoints())
                     .improvementPoints(aiFeedback.get().getImprovementPoints())
                     .recommendations(aiFeedback.get().getRecommendations())
                     .sentimentAnalysis(aiFeedback.get().getSentimentAnalysis())
@@ -460,6 +461,7 @@ public class AnalyticsService implements AnalyticsUseCase {
                 .feedbackId(aiFeedback.getId())
                 .summary(aiFeedback.getSummary())
                 .positivePoints(aiFeedback.getPositivePoints())
+                .negativePoints(aiFeedback.getNegativePoints())
                 .improvementPoints(aiFeedback.getImprovementPoints())
                 .recommendations(aiFeedback.getRecommendations())
                 .sentimentAnalysis(aiFeedback.getSentimentAnalysis())
@@ -530,11 +532,13 @@ public class AnalyticsService implements AnalyticsUseCase {
             // 2. 실제 AI 서비스 호출 (기존 하드코딩 부분을 수정)
             AiFeedback aiFeedback = aiServicePort.generateFeedback(reviewData);
 
+
             // 3. 도메인 객체 속성 설정
             AiFeedback completeAiFeedback = AiFeedback.builder()
                 .storeId(storeId)
                 .summary(aiFeedback.getSummary())
                 .positivePoints(aiFeedback.getPositivePoints())
+                .negativePoints(aiFeedback.getNegativePoints())
                 .improvementPoints(aiFeedback.getImprovementPoints())
                 .recommendations(aiFeedback.getRecommendations())
                 .sentimentAnalysis(aiFeedback.getSentimentAnalysis())

analytics/src/main/java/com/ktds/hi/analytics/infra/dto/AiAnalysisResponse.java

@@ -31,6 +31,9 @@ public class AiAnalysisResponse {
 	@Schema(description = "긍정적 요소")
 	private List<String> positivePoints;
 
+	@Schema(description = "부정적 요소")
+	private List<String> negativePoints;
+
 	@Schema(description = "개선점")
 	private List<String> improvementPoints;
 

analytics/src/main/java/com/ktds/hi/analytics/infra/dto/AiFeedbackDetailResponse.java

@@ -23,6 +23,7 @@ public class AiFeedbackDetailResponse {
     private Long storeId;
     private String summary;
     private List<String> positivePoints;
+    private List<String> negativePoints;
     private List<String> improvementPoints;
     private List<String> existActionPlan; // improvemnetPoints 중에서 처리 된것.
     private List<String> recommendations;

analytics/src/main/java/com/ktds/hi/analytics/infra/gateway/AIServiceAdapter.java

@@ -176,6 +176,7 @@ public class AIServiceAdapter implements AIServicePort {
             {
               "summary": "전체적인 분석 요약(2-3문장)",
               "positivePoints": ["긍정적 요소1", "긍정적 요소2", "긍정적 요소3"],
+              "negativePoints": ["부정적 요소1", "부정적 요소2", "부정적 요소3"],
               "improvementPoints": ["개선점1", "개선점2", "개선점3"],
               "recommendations": ["추천사항1", "추천사항2", "추천사항3"],
               "sentimentAnalysis": "전체적인 감정 분석 결과",
@@ -187,6 +188,7 @@ public class AIServiceAdapter implements AIServicePort {
             
             분석 시 다음 사항을 고려해주세요:
             1. 긍정적 요소는 고객들이 자주 언급하는 좋은 점들
+            2. 부정적 요소는 고객들이 자주 언급하는 안좋은 점들(없는 경우에는 없음으로 표시)
             2. 개선점은 부정적 피드백이나 불만사항
             3. 추천사항은 매장 운영에 도움이 될 구체적인 제안
             4. 신뢰도 점수는 0.0-1.0 사이의 값
@@ -278,6 +280,7 @@ public class AIServiceAdapter implements AIServicePort {
             return AiFeedback.builder()
                 .summary((String) result.get("summary"))
                 .positivePoints((List<String>) result.get("positivePoints"))
+                .negativePoints((List<String>) result.get("negativePoints"))
                 .improvementPoints((List<String>) result.get("improvementPoints"))
                 .recommendations((List<String>) result.get("recommendations"))
                 .sentimentAnalysis((String) result.get("sentimentAnalysis"))

analytics/src/main/java/com/ktds/hi/analytics/infra/gateway/AnalyticsRepositoryAdapter.java

@@ -105,6 +105,7 @@ public class AnalyticsRepositoryAdapter implements AnalyticsPort {
                 .storeId(entity.getStoreId())
                 .summary(entity.getSummary())
                 .positivePoints(parseJsonToList(entity.getPositivePointsJson()))
+                .negativePoints(parseJsonToList(entity.getNegativePointsJson()))
                 .improvementPoints(parseJsonToList(entity.getImprovementPointsJson()))
                 .recommendations(parseJsonToList(entity.getRecommendationsJson()))
                 .sentimentAnalysis(entity.getSentimentAnalysis())
@@ -124,6 +125,7 @@ public class AnalyticsRepositoryAdapter implements AnalyticsPort {
                 .storeId(domain.getStoreId())
                 .summary(domain.getSummary())
                 .positivePointsJson(parseListToJson(domain.getPositivePoints()))
+                .negativePointsJson(parseListToJson(domain.getNegativePoints()))
                 .improvementPointsJson(parseListToJson(domain.getImprovementPoints()))
                 .recommendationsJson(parseListToJson(domain.getRecommendations()))
                 .sentimentAnalysis(domain.getSentimentAnalysis())

analytics/src/main/java/com/ktds/hi/analytics/infra/gateway/entity/AiFeedbackEntity.java

@@ -42,7 +42,10 @@ public class AiFeedbackEntity {
     
     @Column(name = "positive_points", columnDefinition = "TEXT")
     private String positivePointsJson;
-    
+
+    @Column(name = "negative_points", columnDefinition = "TEXT")
+    private String negativePointsJson;
+
     @Column(name = "improvement_points", columnDefinition = "TEXT")
     private String improvementPointsJson;