fix[kafka]: 수정

backend/build.gradle

@@ -41,7 +41,6 @@ dependencies {
     implementation 'org.springframework.boot:spring-boot-starter-oauth2-client'
     implementation group: 'org.springframework.boot', name: 'spring-boot-starter-mail', version: '3.0.5'
     implementation 'org.springframework.boot:spring-boot-starter-batch'
-    implementation 'org.springframework.kafka:spring-kafka'
     testImplementation 'org.springframework.kafka:spring-kafka-test'
 
     // API Documentation (문서화)

backend/docker-compose.yml

@@ -82,40 +82,8 @@ services:
       timeout: 5s
       retries: 10
 
-  zookeeper:
-    image: confluentinc/cp-zookeeper:7.8.0
-    container_name: zookeeper
-    restart: unless-stopped
-    ports:
-      - "2181:2181"
-    environment:
-      ZOOKEEPER_CLIENT_PORT: 2181
-      ZOOKEEPER_TICK_TIME: 2000
-
-  kafka:
-    image: confluentinc/cp-kafka:7.8.0
-    container_name: kafka
-    restart: unless-stopped
-    depends_on:
-      - zookeeper
-    ports:
-      - "9092:9092"
-    environment:
-      KAFKA_BROKER_ID: 1
-      KAFKA_ZOOKEEPER_CONNECT: zookeeper:2181
-      KAFKA_LISTENER_SECURITY_PROTOCOL_MAP: INTERNAL:PLAINTEXT,EXTERNAL:PLAINTEXT
-      KAFKA_LISTENERS: INTERNAL://0.0.0.0:29092,EXTERNAL://0.0.0.0:9092
-      KAFKA_ADVERTISED_LISTENERS: INTERNAL://kafka:29092,EXTERNAL://localhost:9092
-      KAFKA_INTER_BROKER_LISTENER_NAME: INTERNAL
-      KAFKA_OFFSETS_TOPIC_REPLICATION_FACTOR: 1
-      KAFKA_TRANSACTION_STATE_LOG_MIN_ISR: 1
-      KAFKA_TRANSACTION_STATE_LOG_REPLICATION_FACTOR: 1
-    volumes:
-      - kafka-data:/var/lib/kafka/data
-
 volumes:
   mysql-data:
   redis-data:
   qdrant-data:
-  ollama-data:
-  kafka-data:
+  ollama-data:

backend/src/main/java/com/ai/lawyer/domain/chatbot/service/AsyncPostChatProcessingService.java

@@ -1,9 +1,13 @@
 package com.ai.lawyer.domain.chatbot.service;
 
+import com.ai.lawyer.domain.chatbot.dto.ChatDto.ChatHistoryDto;
+import com.ai.lawyer.domain.chatbot.dto.ChatDto.ChatLawDto;
+import com.ai.lawyer.domain.chatbot.dto.ChatDto.ChatPrecedentDto;
 import com.ai.lawyer.domain.chatbot.dto.ExtractionDto.KeywordExtractionDto;
 import com.ai.lawyer.domain.chatbot.dto.ExtractionDto.TitleExtractionDto;
 import com.ai.lawyer.domain.chatbot.entity.*;
 import com.ai.lawyer.domain.chatbot.repository.*;
+import com.ai.lawyer.infrastructure.redis.service.ChatCacheService;
 import lombok.RequiredArgsConstructor;
 import lombok.extern.slf4j.Slf4j;
 import org.springframework.ai.chat.memory.ChatMemory;
@@ -16,6 +20,7 @@
 import org.springframework.stereotype.Service;
 import org.springframework.transaction.annotation.Transactional;
 
+import java.util.ArrayList;
 import java.util.List;
 import java.util.stream.Collectors;
 
@@ -27,6 +32,8 @@
 public class AsyncPostChatProcessingService {
 
     private final KeywordService keywordService;
+    private final ChatCacheService chatCacheService;
+
     private final HistoryRepository historyRepository;
     private final ChatRepository chatRepository;
     private final KeywordRankRepository keywordRankRepository;
@@ -98,6 +105,9 @@ private void extractAndUpdateKeywordRanks(String message) {
     }
 
     private void saveChatWithDocuments(History history, MessageType type, String message, List<Document> similarCaseDocuments, List<Document> similarLawDocuments) {
+        List<ChatPrecedent> chatPrecedents = new ArrayList<>();
+        List<ChatLaw> chatLaws = new ArrayList<>();
+
         Chat chat = chatRepository.save(Chat.builder()
                 .historyId(history)
                 .type(type)
@@ -107,7 +117,7 @@ private void saveChatWithDocuments(History history, MessageType type, String mes
         // Ai 메시지가 저장될 때 관련 문서 저장
         if (type == MessageType.ASSISTANT) {
             if (similarCaseDocuments != null && !similarCaseDocuments.isEmpty()) {
-                List<ChatPrecedent> chatPrecedents = similarCaseDocuments.stream()
+                chatPrecedents = similarCaseDocuments.stream()
                         .map(doc -> ChatPrecedent.builder()
                                 .chatId(chat)
                                 .precedentContent(doc.getText())
@@ -119,7 +129,7 @@ private void saveChatWithDocuments(History history, MessageType type, String mes
             }
 
             if (similarLawDocuments != null && !similarLawDocuments.isEmpty()) {
-                List<ChatLaw> chatLaws = similarLawDocuments.stream()
+                chatLaws = similarLawDocuments.stream()
                         .map(doc -> ChatLaw.builder()
                                 .chatId(chat)
                                 .content(doc.getText())
@@ -129,5 +139,16 @@ private void saveChatWithDocuments(History history, MessageType type, String mes
                 chatLawRepository.saveAll(chatLaws);
             }
         }
+
+        // Redis 캐시에 DTO 저장
+        ChatHistoryDto dto = ChatHistoryDto.builder()
+                .type(type.toString())
+                .message(message)
+                .createdAt(chat.getCreatedAt())
+                .precedent(chatPrecedents.isEmpty() ? null : ChatPrecedentDto.from(chatPrecedents.get(0)))
+                .law(chatLaws.isEmpty() ? null : ChatLawDto.from(chatLaws.get(0)))
+                .build();
+
+        chatCacheService.cacheChatMessage(history.getHistoryId(), dto);
     }
 }

backend/src/main/java/com/ai/lawyer/domain/chatbot/service/ChatBotService.java

@@ -7,8 +7,6 @@
 import com.ai.lawyer.domain.chatbot.entity.History;
 import com.ai.lawyer.domain.chatbot.repository.HistoryRepository;
 import com.ai.lawyer.global.qdrant.service.QdrantService;
-import com.ai.lawyer.infrastructure.kafka.dto.ChatPostProcessEvent;
-import com.ai.lawyer.infrastructure.kafka.dto.DocumentDto;
 import lombok.RequiredArgsConstructor;
 import lombok.extern.slf4j.Slf4j;
 import org.springframework.ai.chat.client.ChatClient;
@@ -22,7 +20,6 @@
 import org.springframework.ai.chat.prompt.PromptTemplate;
 import org.springframework.ai.document.Document;
 import org.springframework.beans.factory.annotation.Value;
-import org.springframework.kafka.core.KafkaTemplate;
 import org.springframework.stereotype.Service;
 import org.springframework.transaction.annotation.Transactional;
 import reactor.core.publisher.Flux;
@@ -40,18 +37,14 @@ public class ChatBotService {
     private final ChatClient chatClient;
     private final QdrantService qdrantService;
     private final HistoryService historyService;
+    private final AsyncPostChatProcessingService asyncPostChatProcessingService;
+
     private final HistoryRepository historyRepository;
     private final ChatMemoryRepository chatMemoryRepository;
 
-    // KafkaTemplate 주입
-    private final KafkaTemplate<String, ChatPostProcessEvent> kafkaTemplate;
-
     @Value("${custom.ai.system-message}")
     private String systemMessageTemplate;
 
-    // Kafka 토픽 이름 -> 추후 application.yml로 이동 고려
-    private static final String POST_PROCESSING_TOPIC = "chat-post-processing";
-
     // 핵심 로직
     // 멤버 조회 -> 벡터 검색 -> 프롬프트 생성 -> LLM 호출 (스트림) -> Kafka 이벤트 발행 -> 응답 반환
     @Transactional
@@ -78,25 +71,7 @@ public Flux<ChatResponse> sendMessage(Long memberId, ChatRequest chatRequestDto,
                 .content()
                 .collectList()
                 .map(fullResponseList -> String.join("", fullResponseList))
-                .doOnNext(fullResponse -> {
-
-                    // Document를 DTO로 변환
-                    List<DocumentDto> caseDtos = similarCaseDocuments.stream().map(DocumentDto::from).collect(Collectors.toList());
-                    List<DocumentDto> lawDtos = similarLawDocuments.stream().map(DocumentDto::from).collect(Collectors.toList());
-
-                    // Kafka로 보낼 이벤트 객체
-                    ChatPostProcessEvent event = new ChatPostProcessEvent(
-                            history.getHistoryId(),
-                            chatRequestDto.getMessage(),
-                            fullResponse,
-                            caseDtos,
-                            lawDtos
-                    );
-
-                    // Kafka 이벤트 발행
-                    kafkaTemplate.send(POST_PROCESSING_TOPIC, event);
-
-                })
+                .doOnNext(fullResponse -> asyncPostChatProcessingService.processHandlerTasks(history.getHistoryId(), chatRequestDto.getMessage(), fullResponse, similarCaseDocuments, similarLawDocuments))
                 .map(fullResponse -> createChatResponse(history, fullResponse, similarCaseDocuments, similarLawDocuments))
                 .flux()
                 .onErrorResume(throwable -> {

backend/src/main/java/com/ai/lawyer/infrastructure/kafka/consumer/ChatPostProcessingConsumer.java

@@ -19,7 +19,6 @@
 import org.springframework.ai.chat.messages.AssistantMessage;
 import org.springframework.ai.chat.messages.MessageType;
 import org.springframework.beans.factory.annotation.Value;
-import org.springframework.kafka.annotation.KafkaListener;
 import org.springframework.stereotype.Service;
 import org.springframework.transaction.annotation.Transactional;
 
@@ -47,7 +46,7 @@ public class ChatPostProcessingConsumer {
     @Value("${custom.ai.keyword-extraction}")
     private String keywordExtraction;
 
-    @KafkaListener(topics = "chat-post-processing", groupId = "chat-processing-group")
+    //@KafkaListener(topics = "chat-post-processing", groupId = "chat-processing-group")
     @Transactional
     public void consume(ChatPostProcessEvent event) {
         try {

backend/src/main/resources/application-dev.yml

@@ -17,18 +17,6 @@ spring:
       password: ${DEV_REDIS_PASSWORD}
       embedded: false
 
-  kafka:
-    bootstrap-servers: localhost:9092
-    producer:
-      key-serializer: org.apache.kafka.common.serialization.StringSerializer
-      value-serializer: org.springframework.kafka.support.serializer.JsonSerializer
-    consumer:
-      group-id: chat-processing-group  # 컨슈머 그룹 ID
-      key-deserializer: org.apache.kafka.common.serialization.StringDeserializer
-      value-deserializer: org.springframework.kafka.support.serializer.JsonDeserializer
-      properties:
-        spring.json.trusted.packages: "*"
-
   batch:
     job:
       enabled: false     # 최소 한번 시작