version: '3.4'
services:
  metad0:
    # image: docker.io/vesoft/nebula-metad:v3.8.0
    image: vesoft/nebula-metad:v3.8.0
    environment:
      USER: root
    command:
      - --meta_server_addrs=metad0:9559
      - --local_ip=metad0
      - --ws_ip=metad0
      - --port=9559
      - --ws_http_port=19559
      - --data_path=/data/meta
      - --log_dir=/logs
      - --v=0
      - --minloglevel=0
    healthcheck:
      test: ["CMD", "curl", "-sf", "http://metad0:19559/status"]
      interval: 30s
      timeout: 10s
      retries: 3
      start_period: 20s
    ports:
      - 9559:9559
      - 19559:19559
      - 19560
    volumes:
      - ./data/meta0:/data/meta
      - ./logs/meta0:/logs
    networks:
      - ekg-net
    restart: on-failure
    cap_add:
      - SYS_PTRACE

  storaged0:
    # image: docker.io/vesoft/nebula-storaged:v3.8.0
    image: vesoft/nebula-storaged:v3.8.0
    environment:
      USER: root
      TZ:   "${TZ}"
    command:
      - --meta_server_addrs=metad0:9559
      - --local_ip=storaged0
      - --ws_ip=storaged0
      - --port=9779
      - --ws_http_port=19779
      - --data_path=/data/storage
      - --log_dir=/logs
      - --v=0
      - --minloglevel=0
    depends_on:
      - metad0
    healthcheck:
      test: ["CMD", "curl", "-sf", "http://storaged0:19779/status"]
      interval: 30s
      timeout: 10s
      retries: 3
      start_period: 20s
    ports:
      - 9779:9779
      - 19779:19779
      - 19780
    volumes:
      - ./data/storage0:/data/storage
      - ./logs/storage0:/logs
    networks:
      - ekg-net
    restart: on-failure
    cap_add:
      - SYS_PTRACE

  graphd:
    # image: docker.io/vesoft/nebula-graphd:v3.8.0
    image: vesoft/nebula-graphd:v3.8.0
    environment:
      USER: root
      TZ:   "${TZ}"
    command:
      - --meta_server_addrs=metad0:9559
      - --port=9669
      - --local_ip=graphd
      - --ws_ip=graphd
      - --ws_http_port=19669
      - --log_dir=/logs
      - --v=0
      - --minloglevel=0
    depends_on:
      - storaged0
    healthcheck:
      test: ["CMD", "curl", "-sf", "http://graphd:19669/status"]
      interval: 30s
      timeout: 10s
      retries: 3
      start_period: 20s
    ports:
      - 9669:9669
      - 19669:19669
      - 19670
    volumes:
      - ./logs/graph:/logs
    networks:
      - ekg-net
    restart: on-failure
    cap_add:
      - SYS_PTRACE

  redis-stack:
    image: redis/redis-stack:7.4.0-v0
    container_name: redis-stack
    ports:
      - "6379:6379"
      - "8001:8001"
    volumes:
      - ./logs/redis:/var/lib/redis/logs
    networks:
      - ekg-net
    restart: always
  

  ollama:
    image: ollama/ollama:0.3.6
    container_name: ollama
    environment:
      USER: root
      TZ:   "${TZ}"
    ports:
      - 11434:11434
    volumes:
      # - //d/models/ollama:/root/.ollama # windows path
      - /Users/yunjiu/ant/models:/root/.ollama # linux/mac path
    networks:
      - ekg-net
    restart: on-failure
    cap_add:
      - SYS_PTRACE
    # deploy:
    #   resources:
    #     reservations:
    #       devices:
    #         - driver: nvidia
    #           count: all  # 或者您想要的数量，例如 1
    #           capabilities: [gpu]

  ekgservice:
    build:
      context: .
      dockerfile: Dockerfile
    container_name: ekgservice
    image: muagent:0.1.0
    # image: muagent:0.2.0
    environment:
      USER: root
      TZ:   "${TZ}"
    ports:
      # - 5050:3737
      - 3737:3737
    volumes:
      - ./examples:/home/user/muagent/examples
      - ./muagent:/home/user/muagent/muagent
      - ./tests:/home/user/muagent/tests
    restart: on-failure
    networks:
      - ekg-net
    command: ["python", "/home/user/muagent/examples/ekg_examples/start.py"]  # 指定要执行的脚本
    # command: ["python", "/home/user/muagent/tests/httpapis/fastapi_test.py"]  # 指定要执行的脚本


networks:
  ekg-net: 
    # driver: bridge
    external: true