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Merges full history from art-dag/mono.git into the monorepo under the artdag/ directory. Contains: core (DAG engine), l1 (Celery rendering server), l2 (ActivityPub registry), common (shared templates/middleware), client (CLI), test (e2e). Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> git-subtree-dir: artdag git-subtree-mainline:1a179de547git-subtree-split:4c2e716558
111 lines
3.1 KiB
Markdown
111 lines
3.1 KiB
Markdown
# artdag
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Content-addressed DAG execution engine with ActivityPub ownership.
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## Features
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- **Content-addressed nodes**: `node_id = SHA3-256(type + config + inputs)` for automatic deduplication
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- **Quantum-resistant hashing**: SHA-3 throughout for future-proof integrity
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- **ActivityPub ownership**: Cryptographically signed ownership claims
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- **Federated identity**: `@user@artdag.rose-ash.com` style identities
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- **Pluggable executors**: Register custom node types
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- **Built-in video primitives**: SOURCE, SEGMENT, RESIZE, TRANSFORM, SEQUENCE, MUX, BLEND
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## Installation
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```bash
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pip install -e .
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```
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### Optional: External Effect Tools
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Some effects can use external tools for better performance:
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**Pixelsort** (glitch art pixel sorting):
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```bash
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# Rust CLI (recommended - fast)
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cargo install --git https://github.com/Void-ux/pixelsort.git pixelsort
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# Or Python CLI
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pip install git+https://github.com/Blotz/pixelsort-cli
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```
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**Datamosh** (video glitch/corruption):
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```bash
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# FFglitch (recommended)
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./scripts/install-ffglitch.sh
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# Or Python CLI
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pip install git+https://github.com/tiberiuiancu/datamoshing
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```
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Check available tools:
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```bash
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python -m artdag.sexp.external_tools
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```
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## Quick Start
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```python
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from artdag import Engine, DAGBuilder, Registry
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from artdag.activitypub import OwnershipManager
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# Create ownership manager
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manager = OwnershipManager("./my_registry")
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# Create your identity
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actor = manager.create_actor("alice", "Alice")
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print(f"Created: {actor.handle}") # @alice@artdag.rose-ash.com
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# Register an asset with ownership
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asset, activity = manager.register_asset(
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actor=actor,
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name="my_image",
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path="/path/to/image.jpg",
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tags=["photo", "art"],
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)
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print(f"Owned: {asset.name} (hash: {asset.content_hash})")
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# Build and execute a DAG
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engine = Engine("./cache")
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builder = DAGBuilder()
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source = builder.source(str(asset.path))
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resized = builder.resize(source, width=1920, height=1080)
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builder.set_output(resized)
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result = engine.execute(builder.build())
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print(f"Output: {result.output_path}")
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```
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## Architecture
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```
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artdag/
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├── dag.py # Node, DAG, DAGBuilder
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├── cache.py # Content-addressed file cache
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├── executor.py # Base executor + registry
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├── engine.py # DAG execution engine
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├── activitypub/ # Identity + ownership
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│ ├── actor.py # Actor identity with RSA keys
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│ ├── activity.py # Create, Announce activities
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│ ├── signatures.py # RSA signing/verification
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│ └── ownership.py # Links actors to assets
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├── nodes/ # Built-in executors
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│ ├── source.py # SOURCE
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│ ├── transform.py # SEGMENT, RESIZE, TRANSFORM
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│ ├── compose.py # SEQUENCE, LAYER, MUX, BLEND
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│ └── effect.py # EFFECT (identity, etc.)
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└── effects/ # Effect implementations
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└── identity/ # The foundational identity effect
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```
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## Related Repos
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- **Registry**: https://git.rose-ash.com/art-dag/registry - Asset registry with ownership proofs
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- **Recipes**: https://git.rose-ash.com/art-dag/recipes - DAG recipes using effects
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## License
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MIT
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