Merge pull request #84 from Decodeat/feat/77-behavior-based-recommendation

feat : 사용자 행동기반 추천

Author: kjhh2605

src/main/java/com/DecodEat/domain/products/controller/ProductController.java

@@ -121,4 +121,10 @@ public ApiResponse<List<ProductSearchResponseDto.ProductPrevDto>> getProductBase
         return ApiResponse.onSuccess(productService.getProductBasedRecommendation(productId, limit));
     }
 
+    @GetMapping("/recommendation/user-behavior-based")
+    @Operation(summary = "상품 기반 추천", description = "사용자 행동 기반 추천")
+    public ApiResponse<UserBasedRecommendationResponseDto> getUserBasedRecommendation(@CurrentUser User user) {
+        return ApiResponse.onSuccess(productService.getUserBasedRecommendation(user));
+    }
+
 }

src/main/java/com/DecodEat/domain/products/dto/response/UserBasedRecommendationResponseDto.java

@@ -0,0 +1,18 @@
+package com.DecodEat.domain.products.dto.response;
+
+import lombok.AllArgsConstructor;
+import lombok.Builder;
+import lombok.Getter;
+import lombok.NoArgsConstructor;
+
+import java.util.List;
+
+@Getter
+@NoArgsConstructor
+@AllArgsConstructor
+@Builder
+public class UserBasedRecommendationResponseDto {
+    private String message;
+    private ProductSearchResponseDto.SearchResultPrevDto standardProduct;
+    private List<ProductSearchResponseDto.ProductPrevDto> products;
+}

src/main/java/com/DecodEat/domain/products/repository/ProductRepository.java

@@ -9,9 +9,11 @@
 import org.springframework.data.jpa.repository.JpaRepository;
 import org.springframework.data.jpa.repository.JpaSpecificationExecutor;
 import org.springframework.data.jpa.repository.Query;
+import com.DecodEat.domain.users.entity.Behavior;
 import org.springframework.data.repository.query.Param;
 
 import java.util.List;
+import java.util.Optional;
 
 public interface ProductRepository extends JpaRepository<Product, Long>, JpaSpecificationExecutor<Product> {
 
@@ -26,4 +28,7 @@ Slice<Product> findCompletedProductsByCursor(@Param("cursorId") Long cursorId,
     void deleteByDecodeStatusIn(List<DecodeStatus> statuses);
 
     Page<Product> findByUserId(Long userId, Pageable pageable);
+
+    @Query(value = "SELECT p.product_id FROM product p JOIN user_behavior ub ON p.product_id = ub.product_id WHERE ub.user_id = :userId AND ub.behavior = :behavior ORDER BY RAND() LIMIT 1", nativeQuery = true)
+    Optional<Long> findRandomProductIdByUserIdAndBehavior(@Param("userId") Long userId, @Param("behavior") Behavior behavior);
 }

src/main/java/com/DecodEat/domain/products/service/ProductService.java

@@ -12,6 +12,8 @@
 import com.DecodEat.domain.products.repository.*;
 import com.DecodEat.domain.users.entity.Behavior;
 import com.DecodEat.domain.users.entity.User;
+import com.DecodEat.domain.users.entity.UserBehavior;
+import com.DecodEat.domain.users.repository.UserBehaviorRepository;
 import com.DecodEat.domain.users.repository.UserRepository;
 import com.DecodEat.domain.users.service.UserBehaviorService;
 import com.DecodEat.global.apiPayload.code.status.ErrorStatus;
@@ -31,6 +33,7 @@
 
 import javax.swing.*;
 import java.util.*;
+import java.util.concurrent.ThreadLocalRandom;
 import java.util.stream.Collectors;
 
 import static com.DecodEat.global.apiPayload.code.status.ErrorStatus.*;
@@ -51,6 +54,7 @@ public class ProductService {
     private static final int PAGE_SIZE = 12;
     private final UserRepository userRepository;
     private final ProductLikeRepository productLikeRepository;
+    private final UserBehaviorRepository userBehaviorRepository;
 
     public ProductDetailDto getDetail(Long id, User user) {
         Product product = productRepository.findById(id).orElseThrow(() -> new GeneralException(PRODUCT_NOT_EXISTED));
@@ -210,6 +214,40 @@ public List<ProductSearchResponseDto.ProductPrevDto> getProductBasedRecommendati
         return productList.stream().map(ProductConverter::toProductPrevDto).toList();
     }
 
+    public UserBasedRecommendationResponseDto getUserBasedRecommendation(User user) {
+        Long userId = user.getId();
+        int randomCase = ThreadLocalRandom.current().nextInt(3);
+        Behavior selectedBehavior = null;
+        String message = "";
+        switch (randomCase) {
+            case 0:
+                selectedBehavior = Behavior.LIKE; // 0번은 좋아요 기반
+                message = "내가 최근 좋아요한 상품과 관련된 상품";
+                break;
+                case 1:
+                selectedBehavior = Behavior.REGISTER; // 1번 등록 기반
+                    message = "내가 최근 등록한 상품과 관련된 상품";
+                break;
+                case 2:
+                selectedBehavior = Behavior.VIEW; // 2번 조회 기반
+                    message = "내가 최근 조회한 상품과 관련된 상품";
+                break;
+
+        }
+
+        Long standardProductId = productRepository.findRandomProductIdByUserIdAndBehavior(userId,selectedBehavior)
+                .orElseThrow(()-> new GeneralException(NO_USER_BEHAVIOR_EXISTED));
+        Product standardProduct = productRepository.findById(standardProductId).orElseThrow(()->new GeneralException(NO_RESULT));
+
+        List<ProductSearchResponseDto.ProductPrevDto> products = getProductBasedRecommendation(standardProductId, 5);
+
+        return UserBasedRecommendationResponseDto.builder()
+                .standardProduct(ProductConverter.toSearchResultPrevDto(standardProduct))
+                .message(message)
+                .products(products)
+                .build();
+    }
+
 
     @Async
     public void requestAnalysisAsync(Long productId, List<String> imageUrls) {

src/main/java/com/DecodEat/domain/users/repository/UserBehaviorRepository.java

@@ -6,8 +6,11 @@
 import com.DecodEat.domain.users.entity.UserBehavior;
 import org.springframework.data.jpa.repository.JpaRepository;
 
+import java.util.Optional;
+
 public interface UserBehaviorRepository extends JpaRepository<UserBehavior, Long> {
 
     void deleteByUserAndProductAndBehavior(User user, Product product, Behavior behavior);
 
+
 }

src/main/java/com/DecodEat/global/apiPayload/code/status/ErrorStatus.java

@@ -24,7 +24,7 @@ public enum ErrorStatus implements BaseErrorCode {
 
     // 추천
     NO_RECOMMENDATION_PRODUCT_BASED(HttpStatus.NOT_FOUND,"RECOMMENDATION_400","유사한 상품이 존재하지 않습니다."),
-
+    NO_USER_BEHAVIOR_EXISTED(HttpStatus.NOT_FOUND,"RECOMMENDATION_401","유저의 해당 메타 데이터가 존재하지 않습니다."),
     // 기본 에러
     _BAD_REQUEST(HttpStatus.BAD_REQUEST, "COMMON_400", "잘못된 요청입니다."),
     _UNAUTHORIZED(HttpStatus.UNAUTHORIZED, "COMMON_401", "인증이 필요합니다."),