The EFFECT node executor uses register_effect() to look up effects.
Added dog effect registration so DAG recipes can use effect: dog.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- Add add_json() to ipfs_client for storing JSON data
- Update render_effect task to store provenance on IPFS
- Update execute_dag task to store DAG provenance on IPFS
- Add provenance_cid field to RunStatus model
- Extract provenance_cid from task results
Provenance is now immutable and content-addressed, enabling:
- Cross-L2 verification
- Bitcoin timestamping for dispute resolution
- Complete audit trail on IPFS
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Without importing artdag.nodes, the EFFECT executor was never
registered, causing "No executor for node type: EFFECT" errors.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
The legacy render_effect task was looking for inputs only at
CACHE_DIR/{hash}, but uploads now go through cache_manager which
stores them in CACHE_DIR/nodes/{node_id}/. Now uses
cache_manager.get_by_content_hash() which checks both locations.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
tasks.py:
- Import artdag DAG, Node, Engine, Executor
- Register executors for effect:dog, effect:identity, SOURCE
- Add execute_dag task for running full DAG workflows
- Add build_effect_dag helper for simple effect-to-DAG conversion
server.py:
- Add use_dag and dag_json fields to RunRequest
- Update create_run to support DAG mode
- Handle both legacy render_effect and new execute_dag result formats
- Import new tasks (execute_dag, build_effect_dag)
The DAG engine executes nodes in topological order with automatic
caching. This enables multi-step pipelines like: source -> effect1 ->
effect2 -> output.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- Add infrastructure field to RunStatus model
- Store infrastructure (software/hardware) from task result
- Format username as ActivityPub actor ID (@user@domain)
- Display owner, effects commit, and infrastructure in UI provenance section
- Add artdag commit tracking for identity effect
- Include infrastructure in raw JSON provenance
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- Identity effect is part of artdag package on GitHub
- Other effects (dog) link to rose-ash effects repo with commit hash
- Added effect_url field to RunStatus for proper URL storage
- Extract repo_url from provenance instead of building it
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- Capture effects repo commit hash at render time
- Store effects_commit in run record
- Effect URLs now link to exact commit, not main branch
- Include commit in raw JSON provenance
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- celery_app.py: Celery configuration with Redis broker
- tasks.py: render_effect task with full provenance tracking
- render.py: CLI for submitting render jobs
- Successfully renders cat → dog with provenance chain
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
