Allow pipelines to be defined in TOML format with intuitive
node-and-connection syntax that's easy to read and edit.
- Add graph_toml.py with TOML parsing using tomllib
- Support simple format: "source": "headlines"
- Support full format: {"type": "camera", "mode": "scroll"}
- Parse connection strings in "A -> B -> C" chain format
- Add example pipeline_graph.toml demonstrating usage
Example TOML:
[nodes.source]
type = "source"
source = "headlines"
[nodes.camera]
type = "camera"
mode = "scroll"
[connections]
list = ["source -> camera -> display"]
Bridge the new graph abstraction with existing Stage-based pipeline
system for backward compatibility.
- Add GraphAdapter class to map nodes to Stage implementations
- Handle effect intensity configuration (sets global effect state)
- Map camera modes to Camera factory methods (feed, scroll, horizontal, etc.)
- Auto-inject required dependencies (render, camera_update) via pipeline capabilities
- Support for all major node types: source, camera, effect, position, display
The adapter ensures that graphs seamlessly integrate with the existing
pipeline architecture while providing a cleaner abstraction layer.
Introduce Node, Connection, and Graph classes for defining pipelines
as graphs instead of verbose XYZStage naming convention.
- Add NodeType enum (SOURCE, CAMERA, EFFECT, DISPLAY, etc.)
- Add Node, Connection, and Graph dataclasses with type hints
- Add validation for cycles and disconnected nodes using DFS
- Add factory methods: node(), connect(), chain() for easy graph building
- Support for both imperative and declarative graph construction
This provides the foundation for the graph-based DSL that replaces
the verbose XYZStage naming convention with intuitive node-and-connection syntax.
