Files
atc-agents/docs/runbook-vm304.md
T
mo a11621b21f Add Command Center v2: DQ/RAG integration, S3 browser, Jupyter, GPU matrix.
Mirror mo/atc-GPU layout with config/, docs/, scripts/ for Gitea deploy.
2026-06-25 00:28:23 +00:00

1.1 KiB

Command Center VM304

Item Value
VM MCP · Proxmox VMID 304
IP 10.0.21.33
SSH root@10.0.21.33
Gitea http://atc-mgt01.dell-atc.lan:3001/mo/atc-agents

Stack

  • ui — React (Data Platform, Presentation, DQ, Knowledge Chat, S3 Storage, Jupyter link)
  • api — FastAPI + WebSocket + S3 browser API
  • dq-api / rag-api — from mo/atc-data-quality
  • jupyter — JupyterLab with S3 credentials
  • chromadb, docling, postgres, redis, caddy

ObjectScale S3

Item Value
Endpoint http://10.0.20.111:9020
Namespace ns1
Default user object_admin1 (see ECS deploy.yml)
UI browse Command Center → Object Storage

Jupyter

  • URL: http://10.0.21.33/jupyter/
  • Token: JUPYTER_TOKEN in .env
  • Work dir persisted in Docker volume jupyter_data
  • Preconfigured: AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY, S3_ENDPOINT

Example in notebook:

import boto3, os
s3 = boto3.client("s3", endpoint_url=os.environ["S3_ENDPOINT"])
print(s3.list_buckets())

Gitea sync

./scripts/sync-gitea.sh