fix: docker compose redis설정 변경

Author: sokft

docker-compose.yml

@@ -6,6 +6,8 @@ services:
     container_name: redis
     command: ["redis-server", "--maxmemory", "256mb", "--maxmemory-policy", "allkeys-lru"]
     restart: always
+    ports:
+      - "6379:6379"
     networks:
       - foss-net
 

src/main/java/Capstone/FOSSistant/global/service/customAI/AIClassifierClient.java

@@ -106,7 +106,7 @@ public Mono<String> classifyBatch(List<String[]> titleBodyList) {
                 .bodyValue(payload)
                 .retrieve()
                 .bodyToMono(String.class)
-                .timeout(Duration.ofSeconds(50))
+                .timeout(Duration.ofSeconds(60))
                 .doOnSuccess( result -> {
                     long end = System.currentTimeMillis();
                     log.info("[AI Batch API 호출 + 응답 수신 시간] {}ms", (end - start));

src/main/java/Capstone/FOSSistant/global/service/customAI/IssueListServiceImpl.java

@@ -216,7 +216,7 @@ public CompletableFuture<DifficultyResult> classifyWithAI(String title, String b
         long start = System.currentTimeMillis();
 
         return aiClassifierClient.classify(title, body)
-                .timeout(Duration.ofSeconds(50))
+                .timeout(Duration.ofSeconds(60))
                 .onErrorResume(TimeoutException.class, e -> {
                     log.error("[NETWORK] AI 호출 타임아웃: {}ms — {}", System.currentTimeMillis()-start, title, e);
                     return aiClassifierClient.defaultSingleResult();
@@ -264,7 +264,7 @@ public CompletableFuture<DifficultyResult> classifyWithAI(String title, String b
     private CompletableFuture<List<Tag>> classifyWithAIBatch(List<String[]> titleBodyList) {
         // (1) WebClient 논블로킹 배치 호출 → Mono<String> → toFuture() → CompletableFuture<String>
         CompletableFuture<String> monoFuture = aiClassifierClient.classifyBatch(titleBodyList)
-                .timeout(Duration.ofSeconds(30))
+                .timeout(Duration.ofSeconds(60))
                 // 에러 시 기본 JSON 반환
                 .onErrorResume(e -> aiClassifierClient.defaultBatchResult())
                 .toFuture();