Fix UserContext l2_server field not found error by tracking
master branch instead of pinned commit.
- Update art-common to track master branch
- Add tests for UserContext l2_server field
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Effects commonly use numpy and opencv for video processing.
Without these, effects fail with confusing "Unknown effect" error.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Pin artdag to commit that uses IPFS_API instead of IPFS_GATEWAY
for consistent IPFS access in Docker.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- Updated requirements.txt to use art-common@11aa056 with l2_server field
- All routers now import UserContext from artdag_common
- Removed duplicate UserContext from auth_service.py
- dependencies.py sets l2_server from settings on user context
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
New version defaults actor_id to @username when not in token,
and supports both artdag_session and auth_token cookies.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Replace ipfshttpclient library with direct HTTP requests to IPFS API.
This fixes compatibility with newer Kubo versions (0.39.0+) which are
not supported by the outdated ipfshttpclient library.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- Add PostgreSQL database for cache metadata storage with schema for
cache_items, item_types, pin_reasons, and l2_shares tables
- Add IPFS integration as durable backing store (local cache as hot storage)
- Add postgres and ipfs services to docker-compose.yml
- Update cache_manager to upload to IPFS and track CIDs
- Rename all config references to recipe throughout server.py
- Update API endpoints: /configs/* -> /recipes/*
- Update models: ConfigStatus -> RecipeStatus, ConfigRunRequest -> RecipeRunRequest
- Update UI tabs and pages to show Recipes instead of Configs
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- Add PyYAML dependency for parsing config files
- Add Pydantic models: VariableInput, FixedInput, ConfigStatus, ConfigRunRequest
- Add Redis storage functions for configs
- Add config YAML parsing with variable and fixed input detection
- Add config API endpoints: upload, list, get, delete, run
- Add config UI: Configs tab, list page, detail page with run form
- Add HTMX endpoints for config operations
- Add pinning on publish: configs and their fixed inputs are pinned
when runs from configs are published to L2
- Clean up debug logging in cache_manager
Config YAML format supports:
- Fixed inputs: resolve asset hashes from registry
- Variable inputs: marked with `input: true`, filled at run time
- DAG definition with nodes and edges
- Registry of assets and effects
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- FastAPI server on port 8100
- POST /runs to start rendering jobs
- GET /runs/{id} to check status
- Cache and run persistence in Redis
- Auto-generated API docs at /docs
🤖 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>
