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이전 세션들에서 작업된 아래 범위를 모두 포함: Fleet 서브시스템 (src/fleet/) - fleetDeviceService / fleetCommandService / fleetDeploymentService / fleetReleaseService - fleetMetricsService, fleetScriptService, fleetEdgeConfigService - Edge 디바이스 관리, 커맨드 발행, 배포/릴리스, 스크립트 동기화 Collector 확장 - centralMqttForwarder / centralForwarderConfigService - equipmentStateService, pythonHookRunner, scriptCache - Modbus/OPC-UA/S7/XGT 프로토콜 클라이언트 - targetDbIntrospection (저장 DB 조회) Routes / API - automationDashboardRoutes, centralForwarderRoutes, equipmentStateRoutes DB - importEdgeConfig (Python cached config → Pipeline DB) - seedDataSources (external_db_connections 초기 시드) 엣지 배포 리소스 - docker/edge/Dockerfile.backend.prod, Dockerfile.frontend.prod - docker/edge/docker-compose.edge.yml 프론트엔드 - admin/automaticMng (centralForwarder, dashboard, equipmentState) - admin/fleet (commands, devices, deployments, releases, scripts, alerts) - admin/pipeline-device 개선 (저장 DB 드롭다운, 태그 매핑 등) - ExternalDbConnectionModal, ScriptsManagerDialog 등 신규 컴포넌트 - lib/api: automationDashboard, centralForwarder, equipmentState, fleet docs/ - EDGE_SERVER_STRUCTURE, FLEET_COMPLETE, FLEET_EDGE_INTEGRATION, FLEET_HOOK_INTEGRATION Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
108 lines
4.0 KiB
YAML
108 lines
4.0 KiB
YAML
# ============================================================
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# Pipeline Edge 배포 Compose
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#
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# 목적: 스피폭스 등 고객사 엣지 서버에 Pipeline을 올려
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# 기존 Python data-collector + Kafka + forwarder를 완전 대체
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#
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# 실행:
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# cd /home/wace/pipeline-edge
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# docker compose -f docker-compose.edge.yml up -d
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#
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# 전제:
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# - .env 파일에 DATABASE_URL, PASSWORD_ENCRYPTION_KEY, JWT_SECRET 설정
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# - Harbor 레지스트리 로그인 완료 (docker login harbor.wace.me)
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# - 엣지에서 PLC(예: 192.168.101.50:2004) 도달 가능
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# - 엣지에서 IDC EMQX (211.115.91.170:31883) 도달 가능
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# ============================================================
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services:
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pipeline-backend:
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image: ${PIPELINE_IMAGE:-harbor.wace.me/vexplor_fleet/pipeline-backend:latest}
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container_name: pipeline-backend
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restart: always
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ports:
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- "8080:8080" # REST API + Admin UI
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- "1883:1883" # 내장 MQTT (로컬 용, 선택)
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- "8083:8083" # MQTT WebSocket (선택)
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environment:
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# ─── 핵심 ─────────────────────────────────────────
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- NODE_ENV=production
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- PORT=8080
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# ─── DB 연결 (IDC 원격 또는 로컬 Postgres) ──────────
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- DATABASE_URL=${DATABASE_URL}
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# ─── 보안 ─────────────────────────────────────────
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- JWT_SECRET=${JWT_SECRET}
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- PASSWORD_ENCRYPTION_KEY=${PASSWORD_ENCRYPTION_KEY}
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- ENCRYPTION_KEY=${ENCRYPTION_KEY}
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# ─── 장비 수집기 자동 시작 ────────────────────────
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# 엣지에선 반드시 true — 부팅 시 DB의 모든 활성 연결 폴링 시작
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- ENABLE_AUTO_COLLECTOR=true
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# ─── 회사/엣지 식별 ──────────────────────────────
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- COMPANY_CODE=${COMPANY_CODE:-spifox}
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- EDGE_ID=${EDGE_ID}
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volumes:
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# 영속 데이터 (업로드, 로그 등)
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- pipeline-data:/app/storage
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- pipeline-uploads:/app/uploads
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networks:
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- pipeline-network
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labels:
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- "com.centurylinklabs.watchtower.enable=true"
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healthcheck:
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test: ["CMD-SHELL", "curl -sf http://localhost:8080/health || exit 1"]
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interval: 30s
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timeout: 10s
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retries: 3
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# ─── 프론트엔드 (선택) ──────────────────────────────
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# 엣지에서 직접 UI 접근하고 싶으면 켜기. 보통은 중앙 Pipeline UI 사용.
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pipeline-front:
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image: ${PIPELINE_FRONT_IMAGE:-harbor.wace.me/vexplor_fleet/pipeline-front:latest}
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container_name: pipeline-front
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restart: always
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ports:
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- "9771:3000"
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environment:
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- NEXT_PUBLIC_API_URL=http://localhost:8080/api
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- SERVER_API_URL=http://pipeline-backend:8080
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- NODE_OPTIONS=--max-old-space-size=2048
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networks:
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- pipeline-network
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labels:
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- "com.centurylinklabs.watchtower.enable=true"
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profiles: ["with-ui"] # docker compose --profile with-ui up 로 선택 기동
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# ─── Watchtower (자동 업데이트) ──────────────────────
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# 기존 스피폭스 엣지와 동일한 패턴: Harbor 폴링 + 라벨 기반
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watchtower:
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image: nickfedor/watchtower:latest
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container_name: watchtower
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restart: always
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environment:
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- WATCHTOWER_POLL_INTERVAL=300
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- WATCHTOWER_CLEANUP=true
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- WATCHTOWER_LABEL_ENABLE=true
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volumes:
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- /var/run/docker.sock:/var/run/docker.sock
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- ~/.docker/config.json:/config.json:ro
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command: --interval 300
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labels:
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- "com.centurylinklabs.watchtower.enable=false"
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profiles: ["watchtower"]
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networks:
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pipeline-network:
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driver: bridge
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name: pipeline-network
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volumes:
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pipeline-data:
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name: pipeline-data
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pipeline-uploads:
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name: pipeline-uploads
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