gilesb 3e12596dbf Fix cache lookup to work across processes
cache_manager.py:
- get_by_content_hash() now tries direct cache.get(content_hash)
  since uploads use content_hash as node_id
- This works even if cache index hasn't been reloaded

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-08 02:02:47 +00:00
2026-01-08 00:59:20 +00:00
2026-01-08 00:59:20 +00:00
2026-01-08 01:53:26 +00:00

Art Celery

L1 rendering server for the Art DAG system. Manages distributed rendering jobs via Celery workers.

Dependencies

  • artdag (GitHub): Core DAG execution engine
  • artdag-effects (rose-ash): Effect implementations
  • Redis: Message broker, result backend, and run persistence

Setup

# Install Redis
sudo apt install redis-server

# Install Python dependencies
pip install -r requirements.txt

# Start a worker
celery -A celery_app worker --loglevel=info

# Start the L1 server
python server.py

L1 Server API

Interactive docs: http://localhost:8100/docs

Endpoints

Method Path Description
GET / Server info
POST /runs Start a rendering run
GET /runs List all runs
GET /runs/{run_id} Get run status
GET /cache List cached content hashes
GET /cache/{hash} Download cached content
POST /cache/import?path= Import local file to cache
GET /assets List known assets

Start a run

curl -X POST http://localhost:8100/runs \
  -H "Content-Type: application/json" \
  -d '{"recipe": "dog", "inputs": ["33268b6e..."], "output_name": "my-output"}'

Check run status

curl http://localhost:8100/runs/{run_id}

Storage

  • Cache: ~/.artdag/cache/ (content-addressed files)
  • Runs: Redis db 5, keys artdag:run:* (persists across restarts)

CLI Usage

# Render cat through dog effect
python render.py dog cat --sync

# Render cat through identity effect
python render.py identity cat --sync

# Submit async (don't wait)
python render.py dog cat

Architecture

server.py (L1 Server - FastAPI)
    │
    ├── POST /runs → Submit job
    │       │
    │       ▼
    │   celery_app.py (Celery broker)
    │       │
    │       ▼
    │   tasks.py (render_effect task)
    │       │
    │       ├── artdag (GitHub) - DAG execution
    │       └── artdag-effects (rose-ash) - Effects
    │               │
    │               ▼
    │           Output + Provenance
    │
    └── GET /cache/{hash} → Retrieve output

Provenance

Every render produces a provenance record:

{
  "task_id": "celery-task-uuid",
  "rendered_at": "2026-01-07T...",
  "rendered_by": "@giles@artdag.rose-ash.com",
  "output": {"name": "...", "content_hash": "..."},
  "inputs": [...],
  "effects": [...],
  "infrastructure": {
    "software": {"name": "infra:artdag", "content_hash": "..."},
    "hardware": {"name": "infra:giles-hp", "content_hash": "..."}
  }
}
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