hyungi
7d06816bac
DS compose 의 ollama 서비스가 standalone ~/ollama 컨테이너와 host 127.0.0.1:11434 를 다퉈, 정기 재부팅 후 `docker compose up` 이 'port already allocated' 로 abort → caddy·frontend 미기동 = 웹 outage(2026-06-08 internal error). standalone 이 이미 hyungi_document_server_default 망 + 동일 ollama_data 볼륨(external) 부착으로 fastapi `ollama:11434` 임베딩을 서빙하므로 DS 서비스는 100% 잉여 → 제거(서비스+ai-gateway depends_on). ollama_data 볼륨 def 는 standalone external 참조용으로 보존. 임베딩 무영향. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
252 lines
9.2 KiB
YAML
252 lines
9.2 KiB
YAML
services:
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postgres:
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image: pgvector/pgvector:pg16
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volumes:
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- pgdata:/var/lib/postgresql/data
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- ./migrations:/docker-entrypoint-initdb.d
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environment:
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POSTGRES_DB: pkm
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POSTGRES_USER: pkm
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POSTGRES_PASSWORD: ${POSTGRES_PASSWORD}
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ports:
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- "100.110.63.63:15432:5432"
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healthcheck:
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test: ["CMD-SHELL", "pg_isready -U pkm"]
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interval: 5s
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timeout: 5s
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retries: 5
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restart: unless-stopped
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kordoc-service:
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build: ./services/kordoc
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ports:
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- "127.0.0.1:3100:3100"
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volumes:
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- ${NAS_NFS_PATH:-/mnt/nas/Document_Server}:/documents:ro
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mem_limit: 4g
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memswap_limit: 4g
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healthcheck:
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test: ["CMD", "node", "-e", "fetch('http://localhost:3100/health').then(r=>{process.exit(r.ok?0:1)}).catch(()=>process.exit(1))"]
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interval: 10s
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timeout: 5s
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retries: 3
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restart: unless-stopped
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ocr-service:
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build: ./services/ocr
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expose:
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- "3200"
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volumes:
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- ${NAS_NFS_PATH:-/mnt/nas/Document_Server}:/documents:ro
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- ocr_models:/root/.cache
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deploy:
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resources:
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reservations:
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devices:
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- driver: nvidia
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count: 1
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capabilities: [gpu]
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healthcheck:
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test: ["CMD", "python", "-c", "import urllib.request; urllib.request.urlopen('http://localhost:3200/health')"]
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interval: 30s
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timeout: 10s
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retries: 3
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start_period: 180s
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restart: unless-stopped
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# Phase 1B (2026-05-01): PDF → markdown 변환. ocr-service 와 별도 컨테이너 (deps 충돌 회피).
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marker-service:
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build: ./services/marker
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ports:
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- "127.0.0.1:3300:3300"
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expose:
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- "3300"
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environment:
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- HF_HOME=/models/huggingface
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- TORCH_HOME=/models/torch
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volumes:
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- ${NAS_NFS_PATH:-/mnt/nas/Document_Server}:/documents:ro
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- marker_models:/models
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deploy:
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resources:
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reservations:
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devices:
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- driver: nvidia
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count: 1
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capabilities: [gpu]
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healthcheck:
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test: ["CMD", "curl", "-f", "http://localhost:3300/ready"]
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interval: 30s
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timeout: 10s
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retries: 3
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start_period: 300s
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restart: unless-stopped
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stt-service:
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# 2026-05-08 (D9 Track B revised): GPU is canonical STT owner.
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# 정책: Mac mini = Gemma 26B 전용 우선이므로 STT/Whisper 는 호출량 무관 GPU 서버 소유.
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# 이전 "Mac mini 이전본" 주석은 trace 오인 기반이었고 본 revised 결정으로 폐기.
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# fastapi 의 STT_ENDPOINT 는 `http://stt-service:3300` (compose 내부 DNS) 사용.
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build: ./services/stt
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expose:
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- "3300"
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volumes:
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- ${NAS_NFS_PATH:-/mnt/nas/Document_Server}:/documents:ro
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- stt_models:/root/.cache
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environment:
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- WHISPER_MODEL=${WHISPER_MODEL:-large-v3}
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- WHISPER_DEVICE=${WHISPER_DEVICE:-cuda}
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- WHISPER_COMPUTE_TYPE=${WHISPER_COMPUTE_TYPE:-float16}
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deploy:
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resources:
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reservations:
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devices:
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- driver: nvidia
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count: 1
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capabilities: [gpu]
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healthcheck:
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# /ready: CUDA 디바이스 + 모델 적재 둘 다 확인. ready=true 만 healthy 처리.
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# /health 는 단순 liveness 라 모델 미적재 상태도 healthy 로 잡혀 운영 신호로 부적합.
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test: ["CMD", "python3", "-c", "import json,urllib.request,sys; r=urllib.request.urlopen('http://localhost:3300/ready'); sys.exit(0 if json.load(r).get('ready') else 1)"]
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interval: 30s
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timeout: 10s
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retries: 3
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start_period: 300s
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restart: unless-stopped
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# ── ollama 서비스 제거 (2026-06-08) ──
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# 정본 ollama = standalone `~/ollama/docker-compose.yml`(container_name: ollama).
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# 그 컨테이너가 hyungi_document_server_default 망(external) + 동일 볼륨
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# hyungi_document_server_ollama_data(external, bge-m3) 부착으로 fastapi 의 `ollama:11434`
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# 임베딩을 이미 서빙(재부팅에도 durable). 본 중복 서비스는 같은 host 127.0.0.1:11434 를
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# 점유 다퉈, 재부팅 후 `docker compose up` 을 'port already allocated' 로 abort →
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# 뒤 의존서비스(caddy·frontend) 미기동 = 웹 outage 유발 → 제거. (ollama_data 볼륨 def 는
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# standalone 이 external 로 참조하므로 아래 volumes: 에 보존.)
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# Phase 1.3: bge-reranker-v2-m3 (TEI) — internal only, fastapi에서 reranker:80으로 호출
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# fastapi가 depends_on 안 함 → 단독 시작 가능, 없어도 fastapi 동작 (rerank=false fallback)
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reranker:
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image: ghcr.io/huggingface/text-embeddings-inference:1.7
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container_name: hyungi_document_server-reranker-1
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expose:
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- "80"
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environment:
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- MODEL_ID=BAAI/bge-reranker-v2-m3
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# PR-2Q-Rerank-Payload-Fix (2026-05-24): 2 env 변경 — 413 root cause 분리.
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# (a) MAX_BATCH_TOKENS 8192 → 16384: 각 batch 의 token sum 한도
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# (b) MAX_CLIENT_BATCH_SIZE 32 → 64: 1 request 안 entries 수 한도 (default 32).
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# multi-query cap 60 chunks (×2 chunks_per_doc dedup) 가 batch entries 54~60
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# → 32 한도 초과 → 413. 64 로 늘림.
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# GPU VRAM free 6199MiB 충분. baseline path (MAX_RERANK_INPUT=200) 영향 0.
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- MAX_BATCH_TOKENS=16384
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- MAX_CLIENT_BATCH_SIZE=64
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- MAX_CONCURRENT_REQUESTS=4
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volumes:
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- reranker_cache:/data
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deploy:
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resources:
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reservations:
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devices:
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- driver: nvidia
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count: 1
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capabilities: [gpu]
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healthcheck:
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test: ["CMD", "curl", "-fsS", "http://localhost/health"]
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interval: 30s
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timeout: 5s
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retries: 3
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start_period: 120s
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restart: unless-stopped
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ai-gateway:
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build: ./gpu-server/services/ai-gateway
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ports:
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- "127.0.0.1:8081:8080"
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environment:
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- PRIMARY_ENDPOINT=http://100.76.254.116:8801/v1/chat/completions
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- FALLBACK_ENDPOINT=http://ollama:11434/v1/chat/completions
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- CLAUDE_API_KEY=${CLAUDE_API_KEY:-}
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- DAILY_BUDGET_USD=${DAILY_BUDGET_USD:-5.00}
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# depends_on: ollama 제거 (2026-06-08) — ollama 서비스가 standalone 으로 이관됨.
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# FALLBACK_ENDPOINT 의 ollama:11434 는 standalone(동일 hostname, DS 망 부착)으로 해소.
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restart: unless-stopped
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fastapi:
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build: ./app
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ports:
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- "100.110.63.63:8000:8000"
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volumes:
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- ${NAS_NFS_PATH:-/mnt/nas/Document_Server}:/documents
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- ./config.yaml:/app/config.yaml:ro
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- ./domain_policy.yaml:/app/domain_policy.yaml:ro
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- ./scripts:/app/scripts:ro
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- ./logs:/app/logs
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- ./migrations:/app/migrations:ro
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depends_on:
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postgres:
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condition: service_healthy
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kordoc-service:
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condition: service_healthy
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marker-service:
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condition: service_healthy
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env_file:
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- credentials.env
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environment:
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- DATABASE_URL=postgresql+asyncpg://pkm:${POSTGRES_PASSWORD}@postgres:5432/pkm
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- KORDOC_ENDPOINT=http://kordoc-service:3100
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- OCR_ENDPOINT=http://ocr-service:3200
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- MARKER_ENDPOINT=http://marker-service:3300
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- MARKER_CONTAINER_PATH_PREFIX=/documents
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# 2026-05-08 (D9 Track B revised): GPU stt-service 정식 승격, 내부 DNS 사용.
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- STT_ENDPOINT=http://stt-service:3300
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# KGS Code 등 외부 학습 자료 추가 스캔 경로 (host .env 에서 주입). 빈 값이면 비활성.
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- ADDITIONAL_WATCH_TARGETS=${ADDITIONAL_WATCH_TARGETS:-}
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# PR-MacMini-Derived-Worker-1
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- STUDY_EXPLANATION_ENABLED=${STUDY_EXPLANATION_ENABLED:-true}
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- INTERNAL_WORKER_TOKEN=${INTERNAL_WORKER_TOKEN}
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# Voice Memo PoC v1 — bot 계정 한정 long-expiry access token. default false → 일반 운영 영향 0.
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# 활성화: host .env 에 VOICE_MEMO_BOT_TOKEN_ENABLED=true. plan: rosy-launching-otter.md
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- VOICE_MEMO_BOT_TOKEN_ENABLED=${VOICE_MEMO_BOT_TOKEN_ENABLED:-false}
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- VOICE_MEMO_BOT_USERNAME=${VOICE_MEMO_BOT_USERNAME:-voice-memo-bot}
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- VOICE_MEMO_BOT_TOKEN_EXPIRE_DAYS=${VOICE_MEMO_BOT_TOKEN_EXPIRE_DAYS:-365}
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# PR-Notebook-Client-1 — notebook-client-bot long-expiry token (laptop-worker-bot wrapper 재활용,
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# 1B Pilot dormant 후 username rename). default false → 운영 영향 0.
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- LAPTOP_WORKER_BOT_TOKEN_ENABLED=${LAPTOP_WORKER_BOT_TOKEN_ENABLED:-false}
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- LAPTOP_WORKER_BOT_USERNAME=${LAPTOP_WORKER_BOT_USERNAME:-laptop-worker-bot}
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- LAPTOP_WORKER_BOT_TOKEN_EXPIRE_DAYS=${LAPTOP_WORKER_BOT_TOKEN_EXPIRE_DAYS:-365}
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# PR-2 of DS AI routing policy (2026-05-23) — backends dispatcher via llm-router.
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# router_url default points at Mac mini Tailscale interface :8890 (PR-1).
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# DS_BACKENDS_VIA_ROUTER=false 로 legacy 직접 호출 path 즉시 복귀.
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- LLM_ROUTER_URL=${LLM_ROUTER_URL:-http://100.76.254.116:8890}
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- DS_BACKENDS_VIA_ROUTER=${DS_BACKENDS_VIA_ROUTER:-true}
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restart: unless-stopped
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frontend:
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build: ./frontend
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ports:
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- "127.0.0.1:3000:3000"
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depends_on:
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- fastapi
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restart: unless-stopped
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caddy:
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image: caddy:2
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ports:
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- "8080:80"
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volumes:
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- ./Caddyfile:/etc/caddy/Caddyfile
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- caddy_data:/data
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depends_on:
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- fastapi
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- frontend
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restart: unless-stopped
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volumes:
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pgdata:
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caddy_data:
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ollama_data:
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reranker_cache:
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ocr_models:
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stt_models:
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marker_models:
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