Merge branch 'main' of https://github.com/dg04-hi/hi-backend

recommend/build.gradle

@@ -3,4 +3,8 @@ dependencies {
     
     // AI and Location Services
     implementation 'org.springframework.boot:spring-boot-starter-webflux'
+
+    implementation 'org.springframework.cloud:spring-cloud-starter-openfeign'
+    implementation 'org.springframework.cloud:spring-cloud-starter-circuitbreaker-resilience4j'
+    implementation 'org.springframework.cloud:spring-cloud-starter-loadbalancer'
 }

recommend/src/main/java/com/ktds/hi/recommend/RecommendServiceApplication.java

@@ -2,20 +2,20 @@ package com.ktds.hi.recommend;
 
 import org.springframework.boot.SpringApplication;
 import org.springframework.boot.autoconfigure.SpringBootApplication;
+import org.springframework.cloud.openfeign.EnableFeignClients;
 import org.springframework.data.jpa.repository.config.EnableJpaAuditing;
 
 /**
- * 추천 서비스 메인 애플리케이션 클래스
+ * 추천 서비스 메인 애플리케이션
- * 가게 추천, 취향 분석 기능을 제공
- * 
- * @author 하이오더 개발팀
- * @version 1.0.0
  */
-@SpringBootApplication(scanBasePackages = {"com.ktds.hi.recommend", "com.ktds.hi.common"})
+@SpringBootApplication(scanBasePackages = {
+        "com.ktds.hi.recommend",
+        "com.ktds.hi.common"
+})
+@EnableFeignClients
 @EnableJpaAuditing
 public class RecommendServiceApplication {
-    
     public static void main(String[] args) {
         SpringApplication.run(RecommendServiceApplication.class, args);
     }
-}
+}

recommend/src/main/java/com/ktds/hi/recommend/infra/controller/StoreRecommendController.java

@@ -1,12 +1,18 @@
+// recommend/src/main/java/com/ktds/hi/recommend/infra/controller/StoreRecommendController.java
 package com.ktds.hi.recommend.infra.controller;
 
 import com.ktds.hi.recommend.biz.usecase.in.StoreRecommendUseCase;
 import com.ktds.hi.recommend.infra.dto.request.RecommendStoreRequest;
 import com.ktds.hi.recommend.infra.dto.response.RecommendStoreResponse;
+import com.ktds.hi.recommend.infra.dto.response.StoreDetailResponse;
+import com.ktds.hi.common.dto.response.ApiResponse;
+import com.ktds.hi.common.dto.response.PageResponse;
 import io.swagger.v3.oas.annotations.Operation;
 import io.swagger.v3.oas.annotations.tags.Tag;
 import jakarta.validation.Valid;
 import lombok.RequiredArgsConstructor;
+import org.springframework.data.domain.Pageable;
+import org.springframework.data.web.PageableDefault;
 import org.springframework.http.ResponseEntity;
 import org.springframework.security.core.Authentication;
 import org.springframework.web.bind.annotation.*;
@@ -14,55 +20,93 @@ import org.springframework.web.bind.annotation.*;
 import java.util.List;
 
 /**
- * 매장 추천 컨트롤러 클래스
+ * 매장 추천 컨트롤러
- * 매장 추천 관련 API를 제공
  */
 @RestController
-@RequestMapping("/api/recommend")
+@RequestMapping("/api/recommend/stores")
 @RequiredArgsConstructor
 @Tag(name = "매장 추천 API", description = "사용자 취향 기반 매장 추천 관련 API")
 public class StoreRecommendController {
-    
+
     private final StoreRecommendUseCase storeRecommendUseCase;
-    
+
     /**
-     * 사용자 취향 기반 매장 추천 API
+     * 개인화 매장 추천
      */
-    @PostMapping("/stores")
+    @PostMapping
-    @Operation(summary = "매장 추천", description = "사용자 취향과 위치를 기반으로 매장을 추천합니다.")
+    @Operation(summary = "개인화 매장 추천", description = "사용자 취향과 위치를 기반으로 매장을 추천합니다.")
-    public ResponseEntity<List<RecommendStoreResponse>> recommendStores(Authentication authentication,
+    public ResponseEntity<ApiResponse<List<RecommendStoreResponse>>> recommendStores(
-                                                                       @Valid @RequestBody RecommendStoreRequest request) {
+            Authentication authentication,
+            @Valid @RequestBody RecommendStoreRequest request) {
+
         Long memberId = Long.valueOf(authentication.getName());
-        List<RecommendStoreResponse> recommendations = storeRecommendUseCase.recommendStores(memberId, request);
+        List<RecommendStoreResponse> recommendations =
-        return ResponseEntity.ok(recommendations);
+                storeRecommendUseCase.recommendPersonalizedStores(memberId, request);
+
+        return ResponseEntity.ok(ApiResponse.success(recommendations));
     }
-    
+
     /**
-     * 위치 기반 매장 추천 API
+     * 위치 기반 매장 추천
      */
-    @GetMapping("/stores/nearby")
+    @GetMapping("/nearby")
     @Operation(summary = "주변 매장 추천", description = "현재 위치 기반으로 주변 매장을 추천합니다.")
-    public ResponseEntity<List<RecommendStoreResponse>> recommendNearbyStores(
+    public ResponseEntity<ApiResponse<PageResponse<RecommendStoreResponse>>> recommendNearbyStores(
             @RequestParam Double latitude,
             @RequestParam Double longitude,
-            @RequestParam(defaultValue = "5000") Integer radius) {
+            @RequestParam(defaultValue = "5000") Integer radius,
-        
+            @RequestParam(required = false) String category,
-        List<RecommendStoreResponse> recommendations = storeRecommendUseCase
+            @PageableDefault(size = 20) Pageable pageable) {
-                .recommendStoresByLocation(latitude, longitude, radius);
+
-        return ResponseEntity.ok(recommendations);
+        PageResponse<RecommendStoreResponse> recommendations =
+                storeRecommendUseCase.recommendStoresByLocation(latitude, longitude, radius, category, pageable);
+
+        return ResponseEntity.ok(ApiResponse.success(recommendations));
     }
-    
+
     /**
-     * 인기 매장 추천 API
+     * 인기 매장 추천
      */
-    @GetMapping("/stores/popular")
+    @GetMapping("/popular")
     @Operation(summary = "인기 매장 추천", description = "카테고리별 인기 매장을 추천합니다.")
-    public ResponseEntity<List<RecommendStoreResponse>> recommendPopularStores(
+    public ResponseEntity<ApiResponse<List<RecommendStoreResponse>>> recommendPopularStores(
             @RequestParam(required = false) String category,
             @RequestParam(defaultValue = "10") Integer limit) {
-        
+
-        List<RecommendStoreResponse> recommendations = storeRecommendUseCase
+        List<RecommendStoreResponse> recommendations =
-                .recommendPopularStores(category, limit);
+                storeRecommendUseCase.recommendPopularStores(category, limit);
-        return ResponseEntity.ok(recommendations);
+
+        return ResponseEntity.ok(ApiResponse.success(recommendations));
     }
-}
+
+    /**
+     * 추천 매장 상세 조회
+     */
+    @GetMapping("/{storeId}")
+    @Operation(summary = "추천 매장 상세 조회", description = "추천된 매장의 상세 정보를 조회합니다.")
+    public ResponseEntity<ApiResponse<StoreDetailResponse>> getRecommendedStoreDetail(
+            @PathVariable Long storeId,
+            Authentication authentication) {
+
+        Long memberId = authentication != null ? Long.valueOf(authentication.getName()) : null;
+        StoreDetailResponse storeDetail =
+                storeRecommendUseCase.getRecommendedStoreDetail(storeId, memberId);
+
+        return ResponseEntity.ok(ApiResponse.success(storeDetail));
+    }
+
+    /**
+     * 추천 클릭 로깅
+     */
+    @PostMapping("/{storeId}/click")
+    @Operation(summary = "추천 클릭 로깅", description = "추천된 매장 클릭을 로깅합니다.")
+    public ResponseEntity<ApiResponse<Void>> logRecommendClick(
+            @PathVariable Long storeId,
+            Authentication authentication) {
+
+        Long memberId = Long.valueOf(authentication.getName());
+        storeRecommendUseCase.logRecommendClick(memberId, storeId);
+
+        return ResponseEntity.ok(ApiResponse.success());
+    }
+}

recommend/src/main/java/com/ktds/hi/recommend/infra/controller/TasteAnalysisController.java

@@ -1,46 +1,69 @@
 package com.ktds.hi.recommend.infra.controller;
 
 import com.ktds.hi.recommend.biz.usecase.in.TasteAnalysisUseCase;
+import com.ktds.hi.recommend.infra.dto.request.TasteUpdateRequest;
 import com.ktds.hi.recommend.infra.dto.response.TasteAnalysisResponse;
-import com.ktds.hi.common.dto.SuccessResponse;
+import com.ktds.hi.recommend.infra.dto.response.PreferenceTagResponse;
+import com.ktds.hi.common.dto.response.ApiResponse;
 import io.swagger.v3.oas.annotations.Operation;
 import io.swagger.v3.oas.annotations.tags.Tag;
+import jakarta.validation.Valid;
 import lombok.RequiredArgsConstructor;
 import org.springframework.http.ResponseEntity;
 import org.springframework.security.core.Authentication;
 import org.springframework.web.bind.annotation.*;
 
+import java.util.List;
+
 /**
- * 취향 분석 컨트롤러 클래스
+ * 취향 분석 컨트롤러
- * 사용자 취향 분석 관련 API를 제공
  */
 @RestController
 @RequestMapping("/api/recommend/taste")
 @RequiredArgsConstructor
 @Tag(name = "취향 분석 API", description = "사용자 취향 분석 관련 API")
 public class TasteAnalysisController {
-    
+
     private final TasteAnalysisUseCase tasteAnalysisUseCase;
-    
+
     /**
-     * 사용자 취향 분석 조회 API
+     * 사용자 취향 분석 조회
      */
     @GetMapping("/analysis")
     @Operation(summary = "취향 분석 조회", description = "현재 로그인한 사용자의 취향 분석 결과를 조회합니다.")
-    public ResponseEntity<TasteAnalysisResponse> getMemberTasteAnalysis(Authentication authentication) {
+    public ResponseEntity<ApiResponse<TasteAnalysisResponse>> getMemberTasteAnalysis(
+            Authentication authentication) {
+
         Long memberId = Long.valueOf(authentication.getName());
         TasteAnalysisResponse analysis = tasteAnalysisUseCase.analyzeMemberTaste(memberId);
-        return ResponseEntity.ok(analysis);
+
+        return ResponseEntity.ok(ApiResponse.success(analysis));
     }
-    
+
     /**
-     * 취향 프로필 업데이트 API
+     * 취향 프로필 업데이트
      */
     @PostMapping("/update")
     @Operation(summary = "취향 프로필 업데이트", description = "사용자의 리뷰 데이터를 기반으로 취향 프로필을 업데이트합니다.")
-    public ResponseEntity<SuccessResponse> updateTasteProfile(Authentication authentication) {
+    public ResponseEntity<ApiResponse<Void>> updateTasteProfile(
+            Authentication authentication,
+            @Valid @RequestBody TasteUpdateRequest request) {
+
         Long memberId = Long.valueOf(authentication.getName());
-        tasteAnalysisUseCase.updateTasteProfile(memberId);
+        tasteAnalysisUseCase.updateTasteProfile(memberId, request);
-        return ResponseEntity.ok(SuccessResponse.of("취향 프로필이 업데이트되었습니다"));
+
+        return ResponseEntity.ok(ApiResponse.success("취향 프로필이 업데이트되었습니다"));
     }
-}
+
+    /**
+     * 가용한 취향 태그 조회
+     */
+    @GetMapping("/tags")
+    @Operation(summary = "취향 태그 목록 조회", description = "선택 가능한 취향 태그 목록을 조회합니다.")
+    public ResponseEntity<ApiResponse<List<PreferenceTagResponse>>> getAvailablePreferenceTags() {
+
+        List<PreferenceTagResponse> tags = tasteAnalysisUseCase.getAvailablePreferenceTags();
+
+        return ResponseEntity.ok(ApiResponse.success(tags));
+    }
+}

recommend/src/main/java/com/ktds/hi/recommend/infra/dto/request/RecommendStoreRequest.java

@@ -1,10 +1,10 @@
 package com.ktds.hi.recommend.infra.dto.request;
 
 import io.swagger.v3.oas.annotations.media.Schema;
-import jakarta.validation.constraints.NotNull;
+import jakarta.validation.constraints.*;
-import lombok.AllArgsConstructor;
 import lombok.Getter;
 import lombok.NoArgsConstructor;
+import lombok.Setter;
 
 import java.util.List;
 
@@ -12,46 +12,36 @@ import java.util.List;
  * 매장 추천 요청 DTO
  */
 @Getter
+@Setter
 @NoArgsConstructor
-@AllArgsConstructor
 @Schema(description = "매장 추천 요청")
 public class RecommendStoreRequest {
-    
+
     @NotNull(message = "위도는 필수입니다")
+    @DecimalMin(value = "-90.0", message = "위도는 -90도 이상이어야 합니다")
+    @DecimalMax(value = "90.0", message = "위도는 90도 이하여야 합니다")
     @Schema(description = "위도", example = "37.5665")
     private Double latitude;
-    
+
     @NotNull(message = "경도는 필수입니다")
+    @DecimalMin(value = "-180.0", message = "경도는 -180도 이상이어야 합니다")
+    @DecimalMax(value = "180.0", message = "경도는 180도 이하여야 합니다")
     @Schema(description = "경도", example = "126.9780")
     private Double longitude;
-    
+
-    @Schema(description = "검색 반경(미터)", example = "5000", defaultValue = "5000")
+    @Min(value = 100, message = "반경은 최소 100m 이상이어야 합니다")
+    @Max(value = 50000, message = "반경은 최대 50km 이하여야 합니다")
+    @Schema(description = "검색 반경 (미터)", example = "5000")
     private Integer radius = 5000;
-    
+
-    @Schema(description = "선호 카테고리", example = "[\"한식\", \"일식\"]")
+    @Schema(description = "카테고리 필터", example = "한식")
-    private List<String> preferredCategories;
+    private String category;
-    
+
-    @Schema(description = "가격 범위", example = "MEDIUM")
+    @Schema(description = "취향 태그 목록", example = "[\"매운맛\", \"혼밥\"]")
-    private String priceRange;
+    private List<String> tags;
-    
+
-    @Schema(description = "추천 개수", example = "10", defaultValue = "10")
+    @Min(value = 1, message = "최소 1개 이상의 결과가 필요합니다")
+    @Max(value = 50, message = "최대 50개까지 조회 가능합니다")
+    @Schema(description = "결과 개수", example = "10")
     private Integer limit = 10;
-    
+}
-    /**
-     * 유효성 검증
-     */
-    public void validate() {
-        if (latitude == null || longitude == null) {
-            throw new IllegalArgumentException("위도와 경도는 필수입니다");
-        }
-        if (latitude < -90 || latitude > 90) {
-            throw new IllegalArgumentException("위도는 -90과 90 사이여야 합니다");
-        }
-        if (longitude < -180 || longitude > 180) {
-            throw new IllegalArgumentException("경도는 -180과 180 사이여야 합니다");
-        }
-        if (radius != null && radius <= 0) {
-            throw new IllegalArgumentException("검색 반경은 0보다 커야 합니다");
-        }
-    }
-}

recommend/src/main/java/com/ktds/hi/recommend/infra/dto/request/TasteUpdateRequest.java

@@ -0,0 +1,26 @@
+package com.ktds.hi.recommend.infra.dto.request;
+
+import io.swagger.v3.oas.annotations.media.Schema;
+import jakarta.validation.constraints.NotEmpty;
+import lombok.Getter;
+import lombok.NoArgsConstructor;
+import lombok.Setter;
+
+import java.util.List;
+
+/**
+ * 취향 업데이트 요청 DTO
+ */
+@Getter
+@Setter
+@NoArgsConstructor
+@Schema(description = "취향 프로필 업데이트 요청")
+public class TasteUpdateRequest {
+
+    @NotEmpty(message = "선호 카테고리는 최소 1개 이상 선택해야 합니다")
+    @Schema(description = "선호 카테고리 목록", example = "[\"한식\", \"일식\"]")
+    private List<String> preferredCategories;
+
+    @Schema(description = "선호 태그 목록", example = "[\"매운맛\", \"혼밥\", \"가성비\"]")
+    private List<String> preferredTags;
+}

recommend/src/main/java/com/ktds/hi/recommend/infra/dto/response/PreferenceTagResponse.java

@@ -0,0 +1,34 @@
+package com.ktds.hi.recommend.infra.dto.response;
+
+import io.swagger.v3.oas.annotations.media.Schema;
+import lombok.Builder;
+import lombok.Getter;
+
+/**
+ * 취향 태그 응답 DTO
+ */
+@Getter
+@Builder
+@Schema(description = "취향 태그 응답")
+public class PreferenceTagResponse {
+
+    @Schema(description = "태그명", example = "매운맛")
+    private String tagName;
+
+    @Schema(description = "태그 아이콘", example = "🌶️")
+    private String icon;
+
+    @Schema(description = "태그 설명", example = "매운 음식을 선호")
+    private String description;
+
+    /**
+     * 정적 생성 메서드
+     */
+    public static PreferenceTagResponse of(String tagName, String icon, String description) {
+        return PreferenceTagResponse.builder()
+                .tagName(tagName)
+                .icon(icon)
+                .description(description)
+                .build();
+    }
+}

recommend/src/main/java/com/ktds/hi/recommend/infra/dto/response/RecommendStoreResponse.java

@@ -1,50 +1,55 @@
 package com.ktds.hi.recommend.infra.dto.response;
 
 import io.swagger.v3.oas.annotations.media.Schema;
-import lombok.AllArgsConstructor;
 import lombok.Builder;
 import lombok.Getter;
-import lombok.NoArgsConstructor;
 
 import java.util.List;
 
 /**
- * 매장 추천 응답 DTO
+ * 추천 매장 응답 DTO
  */
 @Getter
 @Builder
-@NoArgsConstructor
+@Schema(description = "추천 매장 응답")
-@AllArgsConstructor
-@Schema(description = "매장 추천 응답")
 public class RecommendStoreResponse {
-    
+
-    @Schema(description = "매장 ID")
+    @Schema(description = "매장 ID", example = "1")
     private Long storeId;
-    
+
-    @Schema(description = "매장명")
+    @Schema(description = "매장명", example = "맛있는 김치찌개")
     private String storeName;
-    
+
-    @Schema(description = "주소")
+    @Schema(description = "카테고리", example = "한식")
-    private String address;
-    
-    @Schema(description = "카테고리")
     private String category;
-    
+
-    @Schema(description = "태그 목록")
+    @Schema(description = "주소", example = "서울시 강남구 테헤란로 123")
-    private List<String> tags;
+    private String address;
-    
+
-    @Schema(description = "평점")
+    @Schema(description = "위도", example = "37.5665")
-    private Double rating;
+    private Double latitude;
-    
+
-    @Schema(description = "리뷰 수")
+    @Schema(description = "경도", example = "126.9780")
+    private Double longitude;
+
+    @Schema(description = "평균 평점", example = "4.5")
+    private Double averageRating;
+
+    @Schema(description = "리뷰 수", example = "127")
     private Integer reviewCount;
-    
+
-    @Schema(description = "거리(미터)")
+    @Schema(description = "추천 점수", example = "0.85")
-    private Double distance;
-    
-    @Schema(description = "추천 점수")
     private Double recommendScore;
-    
+
-    @Schema(description = "추천 이유")
+    @Schema(description = "추천 이유", example = "좋아하는 '매운맛' 태그에 맞는 매장입니다")
     private String recommendReason;
+
+    @Schema(description = "거리 (미터)", example = "1200")
+    private Double distance;
+
+    @Schema(description = "매장 이미지 URL 목록")
+    private List<String> imageUrls;
+
+    @Schema(description = "태그 목록", example = "[\"매운맛\", \"혼밥\"]")
+    private List<String> tags;
 }

recommend/src/main/java/com/ktds/hi/recommend/infra/dto/response/StoreDetailResponse.java

@@ -0,0 +1,58 @@
+package com.ktds.hi.recommend.infra.dto.response;
+
+import io.swagger.v3.oas.annotations.media.Schema;
+import lombok.Builder;
+import lombok.Getter;
+
+import java.util.List;
+
+/**
+ * 매장 상세 정보 응답 DTO
+ */
+@Getter
+@Builder
+@Schema(description = "매장 상세 정보 응답")
+public class StoreDetailResponse {
+
+    @Schema(description = "매장 ID", example = "1")
+    private Long storeId;
+
+    @Schema(description = "매장명", example = "맛있는 김치찌개")
+    private String storeName;
+
+    @Schema(description = "카테고리", example = "한식")
+    private String category;
+
+    @Schema(description = "주소", example = "서울시 강남구 테헤란로 123")
+    private String address;
+
+    @Schema(description = "전화번호", example = "02-1234-5678")
+    private String phoneNumber;
+
+    @Schema(description = "위도", example = "37.5665")
+    private Double latitude;
+
+    @Schema(description = "경도", example = "126.9780")
+    private Double longitude;
+
+    @Schema(description = "평균 평점", example = "4.5")
+    private Double averageRating;
+
+    @Schema(description = "리뷰 수", example = "127")
+    private Integer reviewCount;
+
+    @Schema(description = "매장 이미지 URL 목록")
+    private List<String> imageUrls;
+
+    @Schema(description = "운영시간", example = "10:00-22:00")
+    private String operatingHours;
+
+    @Schema(description = "AI 요약", example = "친절한 서비스와 맛있는 김치찌개로 유명한 곳입니다")
+    private String aiSummary;
+
+    @Schema(description = "긍정 키워드", example = "[\"맛있다\", \"친절하다\", \"깔끔하다\"]")
+    private List<String> topPositiveKeywords;
+
+    @Schema(description = "부정 키워드", example = "[\"시끄럽다\", \"대기시간\"]")
+    private List<String> topNegativeKeywords;
+}

recommend/src/main/java/com/ktds/hi/recommend/infra/dto/response/TasteAnalysisResponse.java

@@ -1,46 +1,42 @@
 package com.ktds.hi.recommend.infra.dto.response;
 
 import io.swagger.v3.oas.annotations.media.Schema;
-import lombok.AllArgsConstructor;
 import lombok.Builder;
 import lombok.Getter;
-import lombok.NoArgsConstructor;
 
 import java.time.LocalDateTime;
 import java.util.List;
 import java.util.Map;
 
 /**
- * 취향 분석 응답 DTO
+ * 취향 분석 결과 응답 DTO
  */
 @Getter
 @Builder
-@NoArgsConstructor
+@Schema(description = "취향 분석 결과 응답")
-@AllArgsConstructor
-@Schema(description = "취향 분석 응답")
 public class TasteAnalysisResponse {
-    
+
-    @Schema(description = "회원 ID")
+    @Schema(description = "회원 ID", example = "1")
     private Long memberId;
-    
+
-    @Schema(description = "선호 카테고리")
+    @Schema(description = "선호 카테고리 목록", example = "[\"한식\", \"일식\"]")
     private List<String> preferredCategories;
-    
+
-    @Schema(description = "최고 선호 카테고리")
+    @Schema(description = "최고 선호 카테고리", example = "한식")
     private String topCategory;
-    
+
     @Schema(description = "카테고리별 점수")
     private Map<String, Double> categoryScores;
-    
+
-    @Schema(description = "선호 태그")
+    @Schema(description = "선호 태그 목록", example = "[\"매운맛\", \"혼밥\"]")
     private List<String> preferredTags;
-    
+
-    @Schema(description = "가격 선호도")
-    private Double pricePreference;
-    
-    @Schema(description = "거리 선호도")
-    private Double distancePreference;
-    
     @Schema(description = "분석 일시")
     private LocalDateTime analysisDate;
+
+    @Schema(description = "신뢰도", example = "0.75")
+    private Double confidence;
+
+    @Schema(description = "추천사항", example = "[\"한식 카테고리의 새로운 매장을 시도해보세요\"]")
+    private List<String> recommendations;
 }

recommend/src/main/resources/application.yml

@@ -1,3 +1,4 @@
+# recommend/src/main/resources/application.yml
 server:
   port: ${RECOMMEND_SERVICE_PORT:8085}
 
@@ -5,12 +6,24 @@ spring:
   application:
     name: recommend-service
   
+  # 프로필 설정
+  profiles:
+    active: ${SPRING_PROFILES_ACTIVE:local}
+  
+  # 데이터베이스 설정
   datasource:
     url: ${RECOMMEND_DB_URL:jdbc:postgresql://20.249.162.245:5432/hiorder_recommend}
     username: ${RECOMMEND_DB_USERNAME:hiorder_user}
     password: ${RECOMMEND_DB_PASSWORD:hiorder_pass}
     driver-class-name: org.postgresql.Driver
+    hikari:
+      connection-timeout: 20000
+      maximum-pool-size: 10
+      minimum-idle: 5
+      idle-timeout: 300000
+      pool-name: RecommendHikariCP
   
+  # JPA 설정
   jpa:
     hibernate:
       ddl-auto: ${JPA_DDL_AUTO:validate}
@@ -19,27 +32,206 @@ spring:
       hibernate:
         format_sql: true
         dialect: org.hibernate.dialect.PostgreSQLDialect
-
+        jdbc:
+          batch_size: 20
+        order_inserts: true
+        order_updates: true
+    open-in-view: false
+  
+  # Redis 설정 (올바른 구조)
   data:
     redis:
       host: ${REDIS_HOST:localhost}
       port: ${REDIS_PORT:6379}
       password: ${REDIS_PASSWORD:}
+      timeout: 2000ms
+      database: ${REDIS_DATABASE:0}
+      lettuce:
+        pool:
+          max-active: 8
+          max-idle: 8
+          min-idle: 2
+          max-wait: -1ms
+        shutdown-timeout: 100ms
 
-recommendation:
+# 외부 서비스 URL 설정
-  cache-ttl: 3600  # 1시간
+services:
-  max-recommendations: 20
+  store:
-  default-radius: 5000  # 5km
+    url: ${STORE_SERVICE_URL:http://store-service:8082}
+  review:
+    url: ${REVIEW_SERVICE_URL:http://review-service:8083}
+  member:
+    url: ${MEMBER_SERVICE_URL:http://member-service:8081}
 
-location:
+# Feign 설정
-  google-maps-api-key: ${GOOGLE_MAPS_API_KEY:}
+feign:
-  
+  client:
-hiorder-api:
+    config:
-  base-url: ${HIORDER_API_BASE_URL:https://api.hiorder.com}
+      default:
-  api-key: ${HIORDER_API_KEY:}
+        connectTimeout: 5000
+        readTimeout: 10000
+        loggerLevel: basic
+      store-service:
+        connectTimeout: 3000
+        readTimeout: 8000
+      review-service:
+        connectTimeout: 3000
+        readTimeout: 8000
+  circuitbreaker:
+    enabled: true
+  compression:
+    request:
+      enabled: true
+    response:
+      enabled: true
 
+# Circuit Breaker 설정
+resilience4j:
+  circuitbreaker:
+    instances:
+      store-service:
+        failure-rate-threshold: 50
+        wait-duration-in-open-state: 30000
+        sliding-window-size: 10
+        minimum-number-of-calls: 5
+      review-service:
+        failure-rate-threshold: 50
+        wait-duration-in-open-state: 30000
+        sliding-window-size: 10
+        minimum-number-of-calls: 5
+  retry:
+    instances:
+      store-service:
+        max-attempts: 3
+        wait-duration: 1000
+      review-service:
+        max-attempts: 3
+        wait-duration: 1000
+
+# 추천 알고리즘 설정
+recommend:
+  algorithm:
+    distance-weight: 0.3
+    rating-weight: 0.3
+    taste-weight: 0.4
+    max-distance: 50000  # 50km
+    default-radius: 5000  # 5km
+  cache:
+    ttl:
+      recommendation: 30m
+      store-detail: 1h
+      taste-analysis: 6h
+      popular-stores: 2h
+  batch:
+    size: 100
+    max-concurrent: 5
+
+# Actuator 설정
+management:
+  endpoints:
+    web:
+      exposure:
+        include: health,info,metrics,prometheus,configprops
+      base-path: /actuator
+  endpoint:
+    health:
+      show-details: when-authorized
+      show-components: always
+    metrics:
+      enabled: true
+  metrics:
+    export:
+      prometheus:
+        enabled: true
+    tags:
+      application: ${spring.application.name}
+
+# Swagger/OpenAPI 설정
 springdoc:
   api-docs:
     path: /api-docs
+    enabled: true
   swagger-ui:
     path: /swagger-ui.html
+    tags-sorter: alpha
+    operations-sorter: alpha
+    display-request-duration: true
+    display-operation-id: true
+  show-actuator: false
+
+# 로깅 설정
+logging:
+  level:
+    root: ${LOG_LEVEL_ROOT:INFO}
+    com.ktds.hi.recommend: ${LOG_LEVEL:INFO}
+    org.springframework.cloud.openfeign: ${LOG_LEVEL_FEIGN:DEBUG}
+    org.springframework.web: ${LOG_LEVEL_WEB:INFO}
+    org.springframework.data.redis: ${LOG_LEVEL_REDIS:INFO}
+    org.hibernate.SQL: ${LOG_LEVEL_SQL:INFO}
+    org.hibernate.type.descriptor.sql.BasicBinder: ${LOG_LEVEL_SQL_PARAM:INFO}
+  pattern:
+    console: "%d{yyyy-MM-dd HH:mm:ss.SSS} [%thread] %-5level [%X{traceId},%X{spanId}] %logger{36} - %msg%n"
+    file: "%d{yyyy-MM-dd HH:mm:ss.SSS} [%thread] %-5level [%X{traceId},%X{spanId}] %logger{36} - %msg%n"
+  file:
+    name: ${LOG_FILE_PATH:./logs/recommend-service.log}
+    max-size: 100MB
+    max-history: 30
+
+# Security 설정
+security:
+  jwt:
+    secret: ${JWT_SECRET:hiorder-recommend-secret-key-2024}
+    expiration: ${JWT_EXPIRATION:86400000} # 24시간
+  cors:
+    allowed-origins: ${CORS_ALLOWED_ORIGINS:http://localhost:3000,http://localhost:8080}
+    allowed-methods: GET,POST,PUT,DELETE,OPTIONS
+    allowed-headers: "*"
+    allow-credentials: true
+
+---
+# Local 환경 설정
+spring:
+  config:
+    activate:
+      on-profile: local
+  jpa:
+    show-sql: true
+    hibernate:
+      ddl-auto: create-drop
+
+logging:
+  level:
+    com.ktds.hi.recommend: DEBUG
+    org.springframework.web: DEBUG
+
+---
+# Development 환경 설정
+spring:
+  config:
+    activate:
+      on-profile: dev
+  jpa:
+    show-sql: true
+    hibernate:
+      ddl-auto: update
+
+logging:
+  level:
+    com.ktds.hi.recommend: DEBUG
+
+---
+# Production 환경 설정
+spring:
+  config:
+    activate:
+      on-profile: prod
+  jpa:
+    show-sql: false
+    hibernate:
+      ddl-auto: validate
+
+logging:
+  level:
+    root: WARN
+    com.ktds.hi.recommend: INFO
+    org.springframework.cloud.openfeign: INFO