misc

azure/ddeployments.md

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+
+az resource update --resource-group default-switzerland --name ftp --namespace Microsoft.Web --resource-type basicPublishingCredentialsPolicies --parent sites/gateway-junior-test --set properties.allow=true

dev/prisma.md

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+migrate:
+# creates js classes
+npx prisma generate 
+
+# deploy

portainer-compose-stacks/AI/n8n/dev1.yml

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+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