version: '3.8'

services:
  # llava-controller:
  #   deploy:
  #     replicas: 0
  #   image: db-llava:latest
  #   ports: 
  #     - 10001:10000
  #   command: python -m llava.serve.controller --host 0.0.0.0 --port 10000

  # gradio-web-server:
  #   deploy:
  #     replicas: 0
  #   image: db-llava:latest
  #   depends_on:
  #     - llava-controller
  #   ports:
  #     - 7861:7860
  #   command: python -m llava.serve.gradio_web_server --controller http://llava-controller:10000 --model-list-mode reload

  # model-worker:
  #   image: db-llava:latest
  #   depends_on:
  #     - llava-controller
  #   ports: 
  #     - 40000:40000
  #   command: python -m llava.serve.model_worker --host 0.0.0.0 --controller http://llava-controller:10000 --port 40000 --worker http://localhost:40000 --model-path liuhaotian/llava-v1.6-vicuna-13b #liuhaotian/llava-v1.5-13b
  #   environment:
  #     NVIDIA_VISIBLE_DEVICES: all
  #   deploy:
  #     replicas: 0
  #     resources:
  #       reservations:
  #         devices:
  #           - driver: nvidia
  #             count: 1
  #             capabilities: [gpu]
  
  # h2o-llmstudio:
  #   image: gcr.io/vorvan/h2oai/h2o-llmstudio:nightly
  #   runtime: nvidia
  #   shm_size: 64g
  #   init: true
  #   container_name: h2o-llmstudio
  #   # user: "${UID}:${GID}"
  #   ports:
  #     - "10101:10101"
  #   volumes:
  #     - /mnt/storage/docker_slow/lm-studio/data:/workspace/data
  #     - /mnt/storage/docker_slow/lm-studio/output:/workspace/output
  #     - /mnt/storage/docker_slow/lm-studio/.cache:/home/llmstudio/.cache
  #   environment:
  #     - NVIDIA_VISIBLE_DEVICES=all
  #     - NVIDIA_DRIVER_CAPABILITIES=compute,utility


  # # # # 
  # https://docs.n8n.io/hosting/installation/docker/#prerequisites
#   docker volume create n8n_data

# docker run -it --rm --name n8n -p 5678:5678 -v n8n_data:/home/node/.n8n docker.n8n.io/n8nio/n8n

  # # #
  n8n:
    image: betterweb/n8n-docker
    ports:
      - "5679:5678"
    environment:
      - N8N_BASIC_AUTH_ACTIVE=true
      - N8N_BASIC_AUTH_USER=admin
      - N8N_BASIC_AUTH_PASSWORD=9UXnZ49GR67r6VH
      - N8N_HOST=${N8N_HOST:-localhost}
      - N8N_PORT=5678
      - N8N_PROTOCOL=http
      - N8N_ENCRYPTION_KEY=whtqTVF5C8367$74V
      - DB_TYPE=postgresdb
      - DB_POSTGRESDB_HOST=db
      - DB_POSTGRESDB_DATABASE=n8n
      - DB_POSTGRESDB_USER=n8n
      - DB_POSTGRESDB_PASSWORD=n8n
    volumes:
      - n8n_data:/home/node/.n8n
    depends_on:
      - db
    restart: unless-stopped

  db:
    image: postgres:13
    environment:
      - POSTGRES_DB=n8n
      - POSTGRES_USER=n8n
      - POSTGRES_PASSWORD=n8n
    volumes:
      - db_data:/var/lib/postgresql/data
    restart: unless-stopped

volumes:
  n8n_data:
  db_data:
  # # #
  # neo4j:
  #   image: neo4j
  #   ports:
  #     - "7474:7474"
  #     - "7687:7687"
  #   environment:
  #     NEO4J_AUTH: neo4j/lucas-bicycle-powder-stretch-ford-9492
  #     NEO4JLABS_PLUGINS: '["apoc"]'
  #     NEO4J_apoc_export_file_enabled: 'true'
  #     NEO4J_apoc_import_file_enabled: 'true'
  #     NEO4J_apoc_import_file_use__neo4j__config: 'true'
  #     NEO4J_dbms_security_procedures_unrestricted: apoc.*
  #   volumes:
  #     - "/mnt/storage/docker_slow/neo4j/data:/data"
  # lmdeploy:
  #   runtime: nvidia
  #   #environment:
  #    # - HUGGING_FACE_HUB_TOKEN=${HUGGING_FACE_HUB_TOKEN}
  #   volumes:
  #     - /mnt/storage/docker_slow/.cache/huggingface:/root/.cache/huggingface
  #   ports:
  #     - "23333:23333"
  #   ipc: host
  #   deploy:
  #     resources:
  #       reservations:
  #         devices:
  #           - capabilities: [gpu]
  #   command: lmdeploy serve api_server internlm/internlm2_5-7b-chat
  #   image: openmmlab/lmdeploy:latest