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feat : 분석 api 수정

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lsh9672 2025-06-18 15:31:00 +09:00
parent 52c7e7decc
commit 23c1d9d244
2 changed files with 109 additions and 14 deletions
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121
analytics/src/main/java/com/ktds/hi/analytics/biz/service/AnalyticsService.java
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@ -4,6 +4,7 @@ import com.ktds.hi.analytics.biz.domain.ActionPlan;
import com.ktds.hi.analytics.biz.domain.Analytics;
import com.ktds.hi.analytics.biz.domain.AiFeedback;
import com.ktds.hi.analytics.biz.domain.PlanStatus;
import com.ktds.hi.analytics.biz.domain.SentimentType;
import com.ktds.hi.analytics.biz.usecase.in.AnalyticsUseCase;
import com.ktds.hi.analytics.biz.usecase.out.*;
import com.ktds.hi.analytics.infra.dto.*;
@ -13,10 +14,14 @@ import org.springframework.cache.annotation.Cacheable;
import org.springframework.stereotype.Service;
import org.springframework.transaction.annotation.Transactional;
import java.time.Duration;
import java.time.LocalDate;
import java.time.LocalDateTime;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.Optional;
import java.util.stream.Collectors;
/**
* 분석 서비스 구현 클래스 (수정버전)
@ -35,6 +40,7 @@ public class AnalyticsService implements AnalyticsUseCase {
private final CachePort cachePort;
private final EventPort eventPort;
private final ActionPlanPort actionPlanPort; // 추가된 의존성
@Override
// @Cacheable(value = "storeAnalytics", key = "#storeId")
@ -280,8 +286,10 @@ public class AnalyticsService implements AnalyticsUseCase {
}
// 3. 응답 생성
int positiveCount = countPositiveReviews(recentReviews);
int negativeCount = countNegativeReviews(recentReviews);
ReviewSentimentCount sentimentCount = analyzeReviewSentiments(recentReviews);
int positiveCount = sentimentCount.getPositiveCount();
int negativeCount = sentimentCount.getNegativeCount();
int neutralCount = sentimentCount.getNeutralCount();
int totalCount = recentReviews.size();
ReviewAnalysisResponse response = ReviewAnalysisResponse.builder()
@ -289,8 +297,10 @@ public class AnalyticsService implements AnalyticsUseCase {
.totalReviews(totalCount)
.positiveReviewCount(positiveCount)
.negativeReviewCount(negativeCount)
.positiveRate(Math.floor((double) positiveCount / totalCount * 100) / 10.0)
.negativeRate(Math.floor((double) negativeCount / totalCount * 100) / 10.0)
.neutralReviewCount(neutralCount)
.positiveRate(Math.floor((double) positiveCount / totalCount * 1000) / 10.0)
.negativeRate(Math.floor((double) negativeCount / totalCount * 1000) / 10.0)
.neutralRate(Math.floor((double) neutralCount / totalCount * 1000) / 10.0)
.analysisDate(LocalDate.now())
.build();
@ -305,7 +315,99 @@ public class AnalyticsService implements AnalyticsUseCase {
throw new RuntimeException("리뷰 분석에 실패했습니다.", e);
}
}
/**
* LLM 기반 리뷰 감정 분석 - 한 번의 분석으로 긍정/부정/중립 수 모두 반환
*
* @param reviews 분석할 리뷰 목록
* @return ReviewSentimentCount 감정별 리뷰 수
*/
private ReviewSentimentCount analyzeReviewSentiments(List<String> reviews) {
log.info("LLM 기반 리뷰 감정 분석 시작: 총 리뷰 수={}", reviews.size());
try {
if (reviews.isEmpty()) {
return new ReviewSentimentCount(0, 0, 0);
}
// 유효한 리뷰만 필터링
List<String> validReviews = reviews.stream()
.filter(review -> review != null && !review.trim().isEmpty())
.collect(Collectors.toList());
if (validReviews.isEmpty()) {
return new ReviewSentimentCount(0, 0, 0);
}
int positiveCount = 0;
int negativeCount = 0;
int neutralCount = 0;
// 각 리뷰를 AI로 감정 분석
for (String review : validReviews) {
try {
SentimentType sentiment = aiServicePort.analyzeSentiment(review);
switch (sentiment) {
case POSITIVE:
positiveCount++;
break;
case NEGATIVE:
negativeCount++;
break;
case NEUTRAL:
default:
neutralCount++;
break;
}
} catch (Exception e) {
log.warn("개별 리뷰 감정 분석 실패, 중립으로 처리: {}",
review.substring(0, Math.min(30, review.length())), e);
neutralCount++; // 분석 실패 시 중립으로 처리
}
}
ReviewSentimentCount result = new ReviewSentimentCount(positiveCount, negativeCount, neutralCount);
log.info("리뷰 감정 분석 완료: 긍정={}, 부정={}, 중립={}, 전체={}",
positiveCount, negativeCount, neutralCount, validReviews.size());
return result;
} catch (Exception e) {
log.error("리뷰 감정 분석 중 전체 오류 발생, fallback 사용", e);
// 오류 시 기존 가정값 사용
int total = reviews.size();
return new ReviewSentimentCount(
(int) (total * 0.6), // 60% 긍정
(int) (total * 0.2), // 20% 부정
total - (int) (total * 0.6) - (int) (total * 0.2) // 나머지 중립
);
}
}
/**
* 리뷰 감정 분석 결과를 담는 내부 클래스
*/
public static class ReviewSentimentCount {
private final int positiveCount;
private final int negativeCount;
private final int neutralCount;
public ReviewSentimentCount(int positiveCount, int negativeCount, int neutralCount) {
this.positiveCount = positiveCount;
this.negativeCount = negativeCount;
this.neutralCount = neutralCount;
}
public int getPositiveCount() { return positiveCount; }
public int getNegativeCount() { return negativeCount; }
public int getNeutralCount() { return neutralCount; }
public int getTotalCount() { return positiveCount + negativeCount + neutralCount; }
}
// private 메서드들
@Transactional
public Analytics generateNewAnalytics(Long storeId) {
@ -429,15 +531,6 @@ public class AnalyticsService implements AnalyticsUseCase {
return "추천사항이 없습니다.";
}
private int countPositiveReviews(List<String> reviews) {
// 실제로는 AI 서비스를 통한 감정 분석 필요
return (int) (reviews.size() * 0.6); // 60% 가정
}
private int countNegativeReviews(List<String> reviews) {
// 실제로는 AI 서비스를 통한 감정 분석 필요
return (int) (reviews.size() * 0.2); // 20% 가정
}
@Override
@Transactional

2
analytics/src/main/java/com/ktds/hi/analytics/infra/dto/ReviewAnalysisResponse.java
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@ -20,7 +20,9 @@ public class ReviewAnalysisResponse {
private Integer totalReviews;
private Integer positiveReviewCount;
private Integer negativeReviewCount;
private Integer neutralReviewCount;
private Double positiveRate;
private Double negativeRate;
private Double neutralRate;
private LocalDate analysisDate;
}