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🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
141 lines
4.5 KiB
Plaintext
141 lines
4.5 KiB
Plaintext
@startuml event-추천결과조회
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!theme mono
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title Event Service - AI 추천 결과 폴링 조회
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actor Client
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participant "API Gateway" as Gateway
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participant "EventController" as Controller <<API Layer>>
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participant "EventService" as Service <<Business Layer>>
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participant "JobManager" as JobMgr <<Component>>
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participant "Redis Cache" as Cache <<E>>
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note over Controller, Cache
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**폴링 방식 Job 상태 조회**
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- 최대 30초 동안 폴링 (2초 간격)
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- Job 상태: PENDING → PROCESSING → COMPLETED
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- AI 추천 결과: Redis에 저장 (TTL: 24시간)
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end note
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Client -> Gateway: GET /api/events/jobs/{jobId}/status
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activate Gateway
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Gateway -> Controller: GET /api/events/jobs/{jobId}/status
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activate Controller
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Controller -> Service: getJobStatus(jobId)
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activate Service
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Service -> JobMgr: getJobStatus(jobId)
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activate JobMgr
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JobMgr -> Cache: Job 상태 조회\nKey: job:{jobId}
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activate Cache
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alt Job 데이터 존재
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Cache --> JobMgr: Job 데이터\n{status, eventDraftId,\ntype, createdAt}
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deactivate Cache
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alt status = COMPLETED
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JobMgr -> Cache: AI 추천 결과 조회\nKey: ai:recommendation:{eventDraftId}
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activate Cache
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Cache --> JobMgr: AI 추천 결과\n{트렌드분석, 3가지추천안}
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deactivate Cache
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JobMgr --> Service: JobStatusResponse\n{jobId, status: COMPLETED,\nrecommendations: {...}}
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deactivate JobMgr
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Service --> Controller: JobStatusResponse\n{status: COMPLETED, recommendations}
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deactivate Service
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Controller --> Gateway: 200 OK\n{"status": "COMPLETED",\n"recommendations": [\n {"title": "저비용 추천안",\n "prize": "커피쿠폰",\n "method": "QR코드 스캔",\n "cost": "50만원",\n "roi": "150%"},\n {"title": "중비용 추천안",\n "prize": "상품권",\n "method": "SNS 공유",\n "cost": "100만원",\n "roi": "200%"},\n {"title": "고비용 추천안",\n "prize": "경품 추첨",\n "method": "설문 참여",\n "cost": "200만원",\n "roi": "300%"}\n]}
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deactivate Controller
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Gateway --> Client: 200 OK\nAI 추천 결과 반환
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deactivate Gateway
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note right of Client
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**프론트엔드 처리**
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- 3가지 추천안 카드 표시
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- 사용자가 추천안 선택
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- 트렌드 분석 정보 표시
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end note
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else status = PROCESSING 또는 PENDING
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JobMgr --> Service: JobStatusResponse\n{jobId, status: PROCESSING}
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deactivate JobMgr
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Service --> Controller: JobStatusResponse\n{status: PROCESSING}
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deactivate Service
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Controller --> Gateway: 200 OK\n{"status": "PROCESSING",\n"message": "AI가 분석 중입니다"}
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deactivate Controller
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Gateway --> Client: 200 OK\n진행 중 상태
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deactivate Gateway
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note right of Client
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**폴링 재시도**
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- 2초 후 재요청
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- 최대 30초 (15회)
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end note
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else status = FAILED
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JobMgr -> Cache: 에러 정보 조회\nKey: job:{jobId}:error
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activate Cache
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Cache --> JobMgr: 에러 메시지
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deactivate Cache
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JobMgr --> Service: JobStatusResponse\n{jobId, status: FAILED, error}
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deactivate JobMgr
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Service --> Controller: JobStatusResponse\n{status: FAILED, error}
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deactivate Service
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Controller --> Gateway: 200 OK\n{"status": "FAILED",\n"error": "AI 분석 실패",\n"message": "다시 시도해주세요"}
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deactivate Controller
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Gateway --> Client: 200 OK\n실패 상태
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deactivate Gateway
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note right of Client
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**실패 처리**
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- 에러 메시지 표시
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- "다시 분석" 버튼 제공
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end note
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end
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else Job 데이터 없음
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Cache --> JobMgr: null (캐시 미스)
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deactivate Cache
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JobMgr --> Service: throw NotFoundException\n("Job을 찾을 수 없습니다")
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deactivate JobMgr
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Service --> Controller: NotFoundException
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deactivate Service
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Controller --> Gateway: 404 Not Found\n{"code": "JOB_001",\n"message": "Job을 찾을 수 없습니다"}
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deactivate Controller
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Gateway --> Client: 404 Not Found
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deactivate Gateway
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end
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note over Controller, Cache
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**폴링 전략**
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- 간격: 2초
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- 최대 시간: 30초 (15회)
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- Timeout 시: 사용자에게 알림 + "다시 분석" 옵션
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**Redis 캐시**
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- Job 상태: TTL 1시간
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- AI 추천 결과: TTL 24시간
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**성능 목표**
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- 평균 AI 분석 시간: 2분 이내
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- P95 AI 분석 시간: 4분 이내
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end note
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@enduml
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