feat : 주문통계 url 수정
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lsh9672
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ee8d1a024c
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@ -0,0 +1,19 @@
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package com.ktds.hi.analytics.infra.dto;
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import lombok.AllArgsConstructor;
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import lombok.Builder;
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import lombok.Getter;
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import lombok.NoArgsConstructor;
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import java.util.List;
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@Getter
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@Builder
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@NoArgsConstructor
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@AllArgsConstructor
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public class OrderListResponse {
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private Long storeId;
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private Integer totalCount;
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private List<OrderResponse> orders;
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}
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@ -0,0 +1,24 @@
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package com.ktds.hi.analytics.infra.dto;
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import lombok.AllArgsConstructor;
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import lombok.Builder;
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import lombok.Getter;
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import lombok.NoArgsConstructor;
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import java.math.BigDecimal;
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import java.time.LocalDateTime;
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@Getter
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@Builder
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@NoArgsConstructor
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@AllArgsConstructor
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public class OrderResponse {
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private Long id;
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private Long storeId;
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private Long menuId;
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private Integer customerAge;
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private String customerGender;
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private BigDecimal orderAmount;
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private LocalDateTime orderDate;
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private LocalDateTime createdAt;
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}
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@ -2,16 +2,27 @@ package com.ktds.hi.analytics.infra.gateway;
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import com.ktds.hi.analytics.biz.domain.OrderStatistics;
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import com.ktds.hi.analytics.biz.usecase.out.OrderDataPort;
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import com.ktds.hi.analytics.infra.dto.OrderListResponse;
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import com.ktds.hi.analytics.infra.dto.OrderResponse;
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import com.ktds.hi.common.dto.SuccessResponse;
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import lombok.RequiredArgsConstructor;
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import lombok.extern.slf4j.Slf4j;
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import org.springframework.beans.factory.annotation.Value;
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import org.springframework.core.ParameterizedTypeReference;
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import org.springframework.http.HttpMethod;
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import org.springframework.http.ResponseEntity;
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import org.springframework.stereotype.Component;
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import org.springframework.web.client.RestTemplate;
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import java.math.BigDecimal;
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import java.time.LocalDate;
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import java.time.LocalDateTime;
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import java.util.Arrays;
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import java.util.HashMap;
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import java.util.List;
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import java.util.Map;
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import java.util.stream.Collectors;
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/**
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* 주문 데이터 어댑터 클래스
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@ -32,15 +43,32 @@ public class OrderDataAdapter implements OrderDataPort {
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log.info("주문 통계 조회: storeId={}, period={} ~ {}", storeId, startDate, endDate);
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try {
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// LocalDate를 LocalDateTime으로 변환 (시작일은 00:00:00, 종료일은 23:59:59)
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LocalDateTime startDateTime = startDate.atStartOfDay();
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LocalDateTime endDateTime = endDate.atTime(23, 59, 59);
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String url = String.format("%s/api/stores/orders/store/%d/period?startDate=%s&endDate=%s",
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storeServiceUrl, storeId, startDate, endDate);
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storeServiceUrl, storeId, startDateTime, endDateTime);
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OrderStatistics statistics = restTemplate.getForObject(url, OrderStatistics.class);
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// ParameterizedTypeReference를 사용하여 제네릭 타입 안전하게 파싱
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ParameterizedTypeReference<SuccessResponse<OrderListResponse>> responseType =
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new ParameterizedTypeReference<SuccessResponse<OrderListResponse>>() {};
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ResponseEntity<SuccessResponse<OrderListResponse>> responseEntity =
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restTemplate.exchange(url, HttpMethod.GET, null, responseType);
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SuccessResponse<OrderListResponse> successResponse = responseEntity.getBody();
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if (successResponse != null && successResponse.isSuccess() && successResponse.getData() != null) {
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OrderListResponse orderListResponse = successResponse.getData();
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// OrderListResponse를 OrderStatistics로 변환
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OrderStatistics statistics = convertToOrderStatistics(orderListResponse);
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if (statistics != null) {
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log.info("주문 통계 조회 완료: storeId={}, totalOrders={}",
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storeId, statistics.getTotalOrders());
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storeId, statistics.getTotalOrders());
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return statistics;
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}
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@ -52,6 +80,125 @@ public class OrderDataAdapter implements OrderDataPort {
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return createDummyOrderStatistics(storeId);
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}
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/**
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* OrderListResponse를 OrderStatistics로 변환
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*/
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private OrderStatistics convertToOrderStatistics(OrderListResponse orderListResponse) {
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List<OrderResponse> orders = orderListResponse.getOrders();
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if (orders == null || orders.isEmpty()) {
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return createEmptyOrderStatistics();
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}
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// 총 주문 수
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int totalOrders = orders.size();
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// 총 매출 계산
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BigDecimal totalRevenue = orders.stream()
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.map(OrderResponse::getOrderAmount)
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.reduce(BigDecimal.ZERO, BigDecimal::add);
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// 평균 주문 금액 계산
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double averageOrderValue = totalRevenue.doubleValue() / totalOrders;
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// 시간대별 주문 분석 (피크 시간 계산)
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Map<Integer, Long> hourlyOrderCount = orders.stream()
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.collect(Collectors.groupingBy(
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order -> order.getOrderDate().getHour(),
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Collectors.counting()
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));
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int peakHour = hourlyOrderCount.entrySet().stream()
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.max(Map.Entry.comparingByValue())
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.map(Map.Entry::getKey)
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.orElse(12); // 기본값 12시
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// 연령대별 분포 계산
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Map<String, Integer> ageDistribution = calculateCustomerAgeDistribution(orders);
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// 인기 메뉴 계산 (메뉴ID별 주문 횟수) - 실제로는 메뉴명을 가져와야 하지만 임시로 메뉴ID 사용
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List<String> popularMenus = orders.stream()
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.collect(Collectors.groupingBy(
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OrderResponse::getMenuId,
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Collectors.counting()
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))
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.entrySet().stream()
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.sorted(Map.Entry.<Long, Long>comparingByValue().reversed())
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.limit(4)
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.map(entry -> "메뉴" + entry.getKey()) // 실제로는 메뉴명으로 변환 필요
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.collect(Collectors.toList());
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return OrderStatistics.builder()
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.totalOrders(totalOrders)
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.totalRevenue(totalRevenue.longValue())
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.averageOrderValue(averageOrderValue)
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.peakHour(peakHour)
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.popularMenus(popularMenus)
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.customerAgeDistribution(ageDistribution)
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.build();
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}
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/**
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* 연령대별 분포 계산
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*/
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private Map<String, Integer> calculateCustomerAgeDistribution(List<OrderResponse> orders) {
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Map<String, Long> ageGroupCount = orders.stream()
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.collect(Collectors.groupingBy(
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order -> getAgeGroup(order.getCustomerAge()),
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Collectors.counting()
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));
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// Long을 Integer로 변환
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Map<String, Integer> result = new HashMap<>();
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ageGroupCount.forEach((key, value) -> result.put(key, value.intValue()));
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return result;
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}
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/**
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* 연령대별 분포 계산
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*/
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private Map<String, Integer> calculateAgeDistribution(List<OrderResponse> orders) {
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Map<String, Long> ageGroupCount = orders.stream()
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.collect(Collectors.groupingBy(
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order -> getAgeGroup(order.getCustomerAge()),
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Collectors.counting()
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));
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// Long을 Integer로 변환
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Map<String, Integer> result = new HashMap<>();
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ageGroupCount.forEach((key, value) -> result.put(key, value.intValue()));
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return result;
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}
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/**
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* 나이를 연령대 그룹으로 변환
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*/
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private String getAgeGroup(Integer age) {
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if (age == null) return "미분류";
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if (age < 20) return "10대";
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if (age < 30) return "20대";
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if (age < 40) return "30대";
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if (age < 50) return "40대";
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if (age < 60) return "50대";
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return "60대+";
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}
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/**
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* 빈 주문 통계 생성
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*/
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private OrderStatistics createEmptyOrderStatistics() {
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return OrderStatistics.builder()
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.totalOrders(0)
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.totalRevenue(0L)
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.averageOrderValue(0.0)
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.peakHour(12)
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.popularMenus(Arrays.asList())
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.customerAgeDistribution(new HashMap<>())
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.build();
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}
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@Override
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public Integer getCurrentOrderCount(Long storeId) {
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log.info("실시간 주문 현황 조회: storeId={}", storeId);
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