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obsidian-vault/500 archive/520 Projects/Family Home Lab Planning Archive.md

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Family Home Lab Planning

Family Home Lab Planning Archive

Archive. Original planning/build notes for the Family Home Lab, merged from the four 000 daily FAMILY files (2026-08). Superseded by Family Console (human overview) and "Family Home Lab" in 200 projects/Tools Software WebUI/, plus the Outline + Vikunja project. Kept for provenance.

FILE: FAMILY Home Lab Console — Build Status.md

created: 2026-08-24 modified: 2026-08-24 type: note tags:

  • family
  • home-lab
  • portal
  • build aliases:
  • Home Lab Console Build

Home Lab Console — Build Status

Status of the FAMILY Enterprise Homelab AI Multimedia Suite. Systems Architecture & Blueprint console portal build. Authoritative plan: /home/sam/home_network/custom_tools/family_home_lab/plan.md (FINAL v3, approved). Design: DESIGN.md (Notion language — canvas #f6f5f4, primary #0075de, indigo login #213183).

Where it runs

  • Host: .13 (192.168.20.13, nixos-desktop, Docker host)
  • Compose: /home/sam/Docker/Containers/family-home-lab/ (ported from repo)
  • Proxy/DNS: existing Caddy on .35; public zone *.lab.audasmedia.com.au → router → .35 → .13
  • Portal: FastAPI + Jinja2 + HTMX, port 8500, console.lab.audasmedia.com.au

Repo-local code (written 2026-08-24, not yet deployed)

Update 2026-08-24 (deploy): core stack deployed and live at https://console.lab.audasmedia.com.au (login → dashboard verified over public HTTPS). Garage up with buckets sam, jo-media, harry, finn, shared-media; portal key RW on all. Borg backup edit to backup.nix pending (needs sudo).

(Original, below, now historical.)

  • portal/ — main.py (routes, first-run admin seed), auth.py (bcrypt + signed HTTP-only session cookies), database.py (SQLAlchemy async + pgvector/pg16), tasks.py (Celery + RabbitMQ), tools.py (per-user dsh URL), config.py, Dockerfile, requirements.txt
  • portal/templates/ (9 pages) + portal/static/tokens.css + app.css
  • docker-compose.yml (postgres / redis / rabbitmq / garage / portal / worker; tool containers behind profile: tools), garage/garage.toml, .env.example, per-tool READMEs (image/video/audio/ai/docs/chat)

Verified

  • All modules compile; all 9 templates render; per-user sections + dsh link resolve; docker compose config -q valid.

Deployment checklist (pending)

  1. Local smoke test of login → dashboard flow.
  2. Sync repo → .13 at /home/sam/Docker/Containers/family-home-lab/; docker compose up -d.
  3. Generate Garage tokens + create buckets sam jo harry finn shared-media + access keys (runbook in deploy/DEPLOYMENT.md).
  4. Apply deploy/caddy/Caddyfile.snippet on .35 and reload.
  5. Add /mnt/data/family-home-lab/ to .13 Borg backup sources.
  6. Enable tool containers (--profile tools) once images verified (plan §4).

Deployment checklist (further)

  1. ✅ Core stack up on .13; console URL live.
  2. ✅ Garage buckets + portal access key provisioned (jo → jo-media per S3 name rules).
  3. ✅ Caddy console + photo/video/audio rules applied & reloaded on .35; certs obtained.
  4. ✅ Media tools live: Photopea (photo), KdenLive (video), Audacity (audio) — public URLs verified. Images: shtse8/photopea:1.0, lscr.io/linuxserver/kdenlive, lscr.io/linuxserver/audacity. Host ports video 8083 / audio 8084 (moved off airflow-8081 & NixOS-3000).
  5. ⏳ Add /mnt/data/family-home-lab/ to .13 backup.nix (services.borgbackup.jobs."local-to-storage".paths) — needs sudo.
  6. ⏳ DeepSeek Harness instances (dsh agent) — console already routes dsh-{user}.lab.audasmedia.com.au.

Related

FILE: FAMILY DeepSeek Harness (dsh) Home Lab Setup.md

created: 2026-08-21 20:08 modified: 2026-08-24 09:39 type: note tags:

  • ai
  • family
  • homelab aliases: []

# DeepSeek Harness (dsh) Home Lab Setup

IMPLEMENTATION BRIEF for the dsh agent (updated by family-home-lab parent project). The dsh agent builds these instances. The parent console (FastAPI portal at console.lab.audasmedia.com.au) is built separately and provides login, session routing and tool launching. Read this whole note before deploying.

0. Context — what the parent console provides (do NOT rebuild)

The family-home-lab project (/home/sam/home_network/custom_tools/family_home_lab/plan.md on .27) deploys on .13:

  • A FastAPI + Jinja2 + HTMX console at console.lab.audasmedia.com.au (port 8500 on .13) with per-user login (Sam, Jo, Harry, Finn) — bcrypt password auth, signed HTTP-only session cookies.
  • The console links to each user's dsh instance after they log in.
  • RabbitMQ + Celery workers, PostgreSQL+pgvector, Garage S3 (see FAMILY S3 Storage Integration & Blueprint).

dsh must NOT implement its own cross-user account system — one user per container instance is correct; the console decides which instance a user sees.

1. Network environment (verified live)

Item Value
Subnet 192.168.20.0/24, gateway .1
dsh host .13 nixos-desktop (sam@192.168.20.13), NixOS, Docker host, 15.5 GB RAM
Reverse proxy Caddy on .35 (sam@192.168.20.35) — already proxies *.home.lab. Add entries there; do NOT run a second Caddy in compose
Local DNS Pi-hole on .13 — add local records → .35
LLM routing OmniRoute already running at .13:20129 (API) / :20128 (dashboard). Point dsh providers at http://192.168.20.13:20129/v1 instead of external APIs
Open WebUI Being retired — dsh replaces it as the chat layer

Port allocation (avoid collisions — verified in use on .13)

In-use: 53, 1883, 3001, 3002, 4000, 5000, 5432-5434, 5678, 8079-8082, 8088, 8090-8091, 8787, 9001, 9010-9011, 9090-9091, 10200, 20128-20129, plus new family-home-lab stack starting at 8500.

dsh instances: use 3081 (sam), 3082 (jo), 3083 (harry), 3084 (finn).

2. System architecture

Subdomains (not subpaths) to prevent WebSocket failures:

                [ Caddy on .35 ]
                       │
   ┌──────────┬────────┼─────────┬──────────────┐
   ▼          ▼        ▼         ▼              ▼
dsh-sam    dsh-jo    dsh-harry  dsh-finn   console.lab.audasmedia.com.au
:3081      :3082     :3083      :3084      (.13:8500)

3. Docker Compose (deploy inside /home/sam/Docker/Containers/dsh/)

Match existing conventions: PUID/PGID 1000, restart unless-stopped.

services:
  dsh-sam:
    image: node:20-slim
    container_name: dsh-sam
    command: npx @deepseek-ai/dsh web --port 3080
    ports:
      - "3081:3080"
    volumes:
      - /mnt/data/family-home-lab/dsh/sam/workspace:/workspace
      - /mnt/data/family-home-lab/dsh/sam/config:/root/.config
    restart: unless-stopped
  # repeat for jo(:3082), harry(:3084→3083), finn(:3084)

Data lives under /mnt/data/family-home-lab/dsh/<user>/ so it's covered by the Borg backup job.

4. Caddy entries (on .35, /etc/caddy/Caddyfile or its compose config)

dsh-sam.lab.audasmedia.com.au {
    reverse_proxy 192.168.20.13:3081
}
dsh-jo.lab.audasmedia.com.au {
    reverse_proxy 192.168.20.13:3082
}
dsh-harry.lab.audasmedia.com.au {
    reverse_proxy 192.168.20.13:3083
}
dsh-finn.lab.audasmedia.com.au {
    reverse_proxy 192.168.20.13:3084
}

Iframe requirement (from parent console): tools are embedded inline in the console where possible. Ensure Caddy does not add X-Frame-Options: DENY and that dsh sets no restrictive CSP frame-ancestors. If dsh sets headers itself, allow framing from console.lab.audasmedia.com.au.

Session handoff (to coordinate with console): the console links out with a short-lived one-time token (?token=...) so users don't re-enter credentials; dsh should accept and exchange it, or at minimum tolerate being launched from the console. Coordinate final design with the parent project.

5. Hardening & customizing tools (dsh.config.yaml)

Providers point at local OmniRoute:

providers:
  openai-compatible:
    baseUrl: "http://192.168.20.13:20129/v1"
    apiKey: "<omniroute-key>"

plugins:
  - name: dsh-plugin-file-editor
  - name: dsh-plugin-translation
  - name: dsh-plugin-ocr

# STRICTLY EXCLUDED for kids' instances:
# - dsh-plugin-shell / persistent-bash

Per-user restrictions: Sam full plugins; Jo/Harry/Finn no shell/bash plugins.

6. Deployment checklist

  1. mkdir -p /mnt/data/family-home-lab/dsh/{sam,jo,harry,finn}/{workspace,config}
  2. Compose up from /home/sam/Docker/Containers/dsh/
  3. Pi-hole records not needed — public DNS *.lab.audasmedia.com.au already resolves to .35
  4. Add Caddyfile entries on .35, reload
  5. Configure OmniRoute provider keys per instance
  6. Verify WebSocket connectivity through Caddy
  7. Notify parent project when URLs are live so console tool cards can link them
FILE: FAMILY Enterprise Homelab AI Multimedia Suite. Systems Architecture & Blueprint.md

created: 2026-08-21 21:37 modified: 2026-08-21 21:37 type: note tags:

  • ai
  • family
  • tools aliases: []

FAMILY Enterprise Homelab AI Multimedia Suite. Systems Architecture & Blueprint

Build status: see FAMILY Home Lab Console — Build Status (portal written repo-local, deployment pending).

SUPERSEDED by final plan in /home/sam/home_network/custom_tools/family_home_lab/plan.md (approved). Key changes from this blueprint: host = .13; reuse existing Caddy on .35 + Pi-hole DNS (no Caddy container); RabbitMQ deployed fresh (verified none exists); Garage S3 data on /mnt/data/family-home-lab/ (see FAMILY S3 Storage Integration & Blueprint); compose at /home/sam/Docker/Containers/family-home-lab/; portal port 8500; frontend FastAPI+HTMX; Open WebUI retired in favour of DeepSeek Harness instances (FAMILY DeepSeek Harness (dsh) Home Lab Setup); users Sam/Jo/Harry/Finn with username+password auth. Original blueprint below for reference.

Enterprise Homelab AI Multimedia Suite: Systems Architecture & Blueprint

This document outlines the deployment strategy for a self-hosted, custom-built multimedia and AI workspace. It features individual family login profiles, an asynchronous RabbitMQ queue, and persistent user understanding via PostgreSQL with pgvector.

1. Directory Structure (Managed via Pi)

/home/user/ai-studio/
├── docker-compose.yml
├── caddy/
│   └── Caddyfile
├── gateway-app/            # Custom FastAPI Web Application
│   ├── main.py            # Async Web Controller
│   ├── database.py        # PostgreSQL Connection Layer
│   ├── tasks.py           # Background Worker Tasks (Celery)
│   ├── templates/         # HTMX / Frontend Layouts
│   └── static/
└── storage/
    ├── shared_media/      # Central Media Asset Pool
    ├── mum_workspace/
    └── son_workspace/

2. Core Production Infrastructure Stack (docker-compose.yml)

version: '3.8'

services:
  # 1. NETWORK PROXY
  caddy:
    image: caddy:2-alpine
    container_name: network_proxy
    restart: unless-stopped
    ports:
      - "80:80"
      - "443:443"
    volumes:
      - ./caddy/Caddyfile:/etc/caddy/Caddyfile
      - caddy_data:/data
      - caddy_config:/config
    network_mode: host

  # 2. THE MASTER ENTRY PORTAL (Custom Gateway UI)
  studio-portal:
    image: python:3.11-slim
    container_name: studio_portal_app
    restart: unless-stopped
    working_dir: /app
    command: >
      sh -c "pip install fastapi uvicorn psycopg2-binary celery jinja2 python-multipart && 
             uvicorn main:app --host 0.0.0.0 --port 8000"
    ports:
      - "8000:8000"
    volumes:
      - ./gateway-app:/app
      - ./storage:/app/storage
    depends_on:
      - studio-db
      - studio-rabbitmq

  # 3. ASYNCHRONOUS MEDIA WORKER (Fueled by RabbitMQ)
  media-worker:
    image: python:3.11-slim
    container_name: async_media_worker
    restart: unless-stopped
    working_dir: /app
    command: celery -A tasks worker --loglevel=info
    volumes:
      - ./gateway-app:/app
      - ./storage:/app/storage
      - /var/run/docker.sock:/var/run/docker.sock # Safe container orchestration loop
    depends_on:
      - studio-rabbitmq

  # 4. INDUSTRIAL MESSAGE BROKER (RabbitMQ)
  studio-rabbitmq:
    image: rabbitmq:3-management-alpine
    container_name: studio_message_broker
    restart: unless-stopped
    ports:
      - "5672:5672"   # RabbitMQ message port
      - "15672:15672" # Management Web UI dashboard
    environment:
      - RABBITMQ_DEFAULT_USER=studio_broker
      - RABBITMQ_DEFAULT_PASS=broker_secure_pass

  # 5. ENTERPRISE COGNITIVE DATABASE
  studio-db:
    image: pgvector/pgvector:pg16 # PostgreSQL natively equipped with AI Vector support
    container_name: studio_cognitive_db
    restart: unless-stopped
    environment:
      - POSTGRES_USER=studio_admin
      - POSTGRES_PASSWORD=studio_secure_pass
      - POSTGRES_DB=studio_memory_matrix
    volumes:
      - postgres_data:/var/lib/postgresql/data

  # 6. OMNIROUTE GATEWAY
  omniroute:
    image: omniroute/gateway:latest
    container_name: omniroute_gateway
    restart: unless-stopped
    ports:
      - "20128:20128"
    environment:
      - OPENAI_API_KEY=your_secure_cloud_key
      - GEMINI_API_KEY=your_secure_cloud_key
    volumes:
      - ./omniroute/config:/app/config

  # 7. MULTIMEDIA STUDIO CONTAINERS
  photopea:
    image: shtse8/photopea:1.0
    container_name: photopea_studio
    ports:
      - "8487:8887"

  kdenlive-studio:
    image: lscr.io/linuxserver/kdenlive:latest # HTML5 Streamed Pro Video Studio
    container_name: pro_video_studio
    ports:
      - "8081:3000"
    environment:
      - PUID=1000
      - PGID=1000
    volumes:
      - ./storage/shared_media:/config

  # AUDIO STUDIO A: Browser-Streamed Audacity
  audacity-studio:
    image: lscr.io/linuxserver/audacity:latest 
    container_name: pro_audio_audacity
    ports:
      - "3000:3000"
    environment:
      - PUID=1000
      - PGID=1000
    volumes:
      - ./storage/shared_media:/config

  # AUDIO STUDIO B: Browser-Streamed Pro DAW (Zrythm)
  zrythm-studio:
    image: lscr.io/linuxserver/zrythm:latest # Full multi-track timeline automation DAW
    container_name: pro_audio_zrythm
    ports:
      - "3001:3000"
    environment:
      - PUID=1000
      - PGID=1000
    volumes:
      - ./storage/shared_media:/config

volumes:
  postgres_data:
  caddy_data:
  caddy_config:

3. Cognitive Engine: Relational Vector Schema (database.py)

import psycopg2

def init_db():
    conn = psycopg2.connect("host=studio-db dbname=studio_memory_matrix user=studio_admin password=studio_secure_pass")
    cur = conn.cursor()
    
    # Enable the Vector extension explicitly
    cur.execute("CREATE EXTENSION IF NOT EXISTS vector;")
    
    # User Profile table
    cur.execute("""
        CREATE TABLE IF NOT EXISTS user_profiles (
            user_id VARCHAR PRIMARY KEY,
            preference_matrix JSONB,
            updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
        );
    """)
    
    # Semantic Memory Table with Vector Embeddings
    cur.execute("""
        CREATE TABLE IF NOT EXISTS user_memories (
            memory_id SERIAL PRIMARY KEY,
            user_id VARCHAR,
            summary TEXT,
            embedding vector(1536), -- Standard cloud embedding dimensions
            created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
        );
    """)
    conn.commit()
    cur.close()
    conn.close()

4. Asynchronous Task Routing Backend (tasks.py)

from celery import Celery
import subprocess

# Configured to use RabbitMQ as the robust message broker
celery_app = Celery('studio_tasks', broker='amqp://studio_broker:broker_secure_pass@studio-rabbitmq:5672//')

@celery_app.task
def process_video_rotation(input_file, output_file):
    """
    Executes a fast, headless FFmpeg run inside RabbitMQ queue context.
    Prevents the main FastAPI frontend from lagging during large transfers.
    """
    subprocess.run([
        "docker", "run", "--rm",
        "-v", "/home/user/ai-studio/storage/shared_media:/media",
        "jrottenberg/ffmpeg",
        "-i", f"/media/{input_file}",
        "-vf", "transpose=1",
        f"/media/{output_file}"
    ])

5. Network Routing Configuration (Caddyfile)

# Core Application Portal Entry Point
ds.home.lab {
    reverse_proxy 127.0.0.1:8000
}

# Image Design Lab
photo.home.lab {
    reverse_proxy 127.0.0.1:8487
}

# Pro Video Editor Layout
video.home.lab {
    reverse_proxy 127.0.0.1:8081
}

# Pro Audio Station A (Audacity Wrapper)
audacity.home.lab {
    reverse_proxy 127.0.0.1:3000
}

# Pro Audio Station B (Zrythm DAW Studio)
zrythm.home.lab {
    reverse_proxy 127.0.0.1:3001
}
FILE: FAMILY S3 Storage Integration & Blueprint.md

created: 2026-08-24 09:39 modified: 2026-08-24 09:39 type: note tags:

  • homelab
  • storage
  • s3
  • garage
  • family aliases: []

FAMILY S3 Storage Integration & Blueprint

FINAL PLAN (approved 2026-08 session). Implementation tracked in /home/sam/home_network/custom_tools/family_home_lab/plan.md. Supersedes the generic blueprint below.

Final architecture

Item Decision
Engine Fresh Garage v1.x container inside the family-home-lab Docker Compose stack
Host .13 nixos-desktop (always-on server)
Compose location /home/sam/Docker/Containers/family-home-lab/
Data location /mnt/data/family-home-lab/garage-data/ + /mnt/data/family-home-lab/garage-meta/ — new subdirs only. The Takeout landing zone (01_keep, 02_review, 03_delete, takeout, .thumbs) is never touched or reformatted
Ports 3900 (S3 API), 3902 (web) — old test instance garage-garage-1 retired first to free these
Region homelab
Buckets sam, jo, harry, finn, shared-media
Access Portal (FastAPI) uses boto3, S3v4 signatures, endpoint .13:3900
Backups /mnt/data/family-home-lab/ added to .13's existing Borg job → rsync→.35→.23 chain

Migration steps

  1. Sanity-check old test instance data: sudo du -sh /var/lib/docker/volumes/garage_garage_data/_data/*
  2. Stop & remove old garage-garage-1 (compose at /home/sam/deployment/garage/)
  3. Deploy new Garage in family-home-lab stack with data dirs on /mnt/data
  4. Create buckets + per-user S3 access keys via garage admin CLI
  5. Verify portal upload/download round-trip
  6. Add path to Borg backup sources

Consumers

  • Family console portal (console.home.lab) — uploads/downloads per-user buckets
  • Media tools (Photopea/video/audio containers) — bind-mount or rclone-mount bucket paths
  • DeepSeek Harness instances (FAMILY DeepSeek Harness (dsh) Home Lab Setup) — optional workspace persistence in user buckets

Original generic blueprint (reference only)

This document details the architectural expansion of the self-hosted AI and multimedia workspace. It introduces a pure open-source, local S3 object storage tier using Garage (Rust-based), replacing legacy volume mappings with decoupled web APIs to unify storage across network nodes.

Garage engine config (final form)

metadata_dir = "/var/lib/garage/meta"   # → mapped to /mnt/data/family-home-lab/garage-meta
data_dir = "/var/lib/garage/data"       # → mapped to /mnt/data/family-home-lab/garage-data
db_engine = "sqlite"
replication_factor = 1
rpc_bind_addr = "[::]:3901"

[s3_api]
s3_region = "homelab"
api_bind_addr = "[::]:3900"

[s3_web]
bind_addr = "[::]:3902"
root_domain = "web.s3.home.lab"

Caddy routing (.35)

s3.home.lab {
    reverse_proxy 192.168.20.13:3900
}

Full original compose example

expand 
version: '3.8'
services:
  studio-s3:
    image: dxflrs/garage:v1.0.0
    container_name: studio_garage_s3
    restart: unless-stopped
    ports:
      - "3900:3900"
      - "3901:3901"
    volumes:
      - ./garage/garage.toml:/etc/garage.toml
      - /mnt/data/family-home-lab/garage-meta:/var/lib/garage/meta
      - /mnt/data/family-home-lab/garage-data:/var/lib/garage/data
    environment:
      - GARAGE_RPC_SECRET=<generate-fresh>
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