forked from genewildish/Mainline
docs(graph): Add DSL documentation and examples
Add comprehensive documentation for the graph-based pipeline DSL: - docs/graph-dsl.md: Complete DSL reference with TOML, Python, and CLI syntax - docs/GRAPH_SYSTEM_SUMMARY.md: Implementation overview and architecture - examples/graph_dsl_demo.py: Demonstrates imperative Python API usage - examples/test_graph_integration.py: Integration test verifying pipeline execution The documentation follows a wiki-like approach with navigable structure: - Overview section explaining the concept - Syntax examples for each format (TOML, Python, CLI) - Node type reference table - Advanced features section - Comparison with old XYZStage approach This provides users with multiple entry points to understand and use the new graph-based pipeline system.
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docs/GRAPH_SYSTEM_SUMMARY.md
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# Graph-Based Pipeline System - Implementation Summary
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## Overview
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Implemented a graph-based scripting language to replace the verbose `XYZStage` naming convention in Mainline's pipeline architecture. The new system represents pipelines as nodes and connections, providing a more intuitive way to define, configure, and orchestrate pipelines.
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## Files Created
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### Core Graph System
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- `engine/pipeline/graph.py` - Core graph abstraction (Node, Connection, Graph classes)
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- `engine/pipeline/graph_adapter.py` - Adapter to convert Graph to Pipeline with existing Stage classes
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- `engine/pipeline/graph_toml.py` - TOML-based graph configuration loader
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### Tests
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- `tests/test_graph_pipeline.py` - Comprehensive test suite (17 tests, all passing)
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- `examples/graph_dsl_demo.py` - Demo script showing the new DSL
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- `examples/test_graph_integration.py` - Integration test verifying pipeline execution
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- `examples/pipeline_graph.toml` - Example TOML configuration file
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### Documentation
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- `docs/graph-dsl.md` - Complete DSL documentation with examples
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- `docs/GRAPH_SYSTEM_SUMMARY.md` - This summary document
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## Key Features
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### 1. Graph Abstraction
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- **Node Types**: `source`, `camera`, `effect`, `position`, `display`, `render`, `overlay`
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- **Connections**: Directed edges between nodes with automatic dependency resolution
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- **Validation**: Cycle detection and disconnected node warnings
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### 2. DSL Syntax Options
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#### TOML Configuration
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```toml
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[nodes.source]
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type = "source"
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source = "headlines"
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[nodes.camera]
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type = "camera"
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mode = "scroll"
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[nodes.noise]
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type = "effect"
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effect = "noise"
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intensity = 0.5
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[nodes.display]
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type = "display"
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backend = "terminal"
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[connections]
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list = ["source -> camera -> noise -> display"]
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```
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#### Python API
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```python
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from engine.pipeline.graph import Graph, NodeType
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from engine.pipeline.graph_adapter import graph_to_pipeline
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graph = Graph()
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graph.node("source", NodeType.SOURCE, source="headlines")
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graph.node("camera", NodeType.CAMERA, mode="scroll")
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graph.node("noise", NodeType.EFFECT, effect="noise", intensity=0.5)
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graph.node("display", NodeType.DISPLAY, backend="terminal")
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graph.chain("source", "camera", "noise", "display")
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pipeline = graph_to_pipeline(graph)
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```
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#### Dictionary/JSON Input
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```python
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from engine.pipeline.graph_adapter import dict_to_pipeline
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data = {
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"nodes": {
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"source": "headlines",
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"noise": {"type": "effect", "effect": "noise", "intensity": 0.5},
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"display": {"type": "display", "backend": "terminal"}
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},
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"connections": ["source -> noise -> display"]
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}
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pipeline = dict_to_pipeline(data)
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```
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### 3. Pipeline Integration
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The graph system integrates with the existing pipeline architecture:
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- **Auto-injection**: Pipeline automatically injects required stages (camera_update, render, etc.)
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- **Capability Resolution**: Uses existing capability-based dependency system
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- **Type Safety**: Validates data flow between stages (TEXT_BUFFER, SOURCE_ITEMS, etc.)
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- **Backward Compatible**: Works alongside existing preset system
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### 4. Node Configuration
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| Node Type | Config Options | Example |
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|-----------|----------------|---------|
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| `source` | `source`: "headlines", "poetry", "empty" | `{"type": "source", "source": "headlines"}` |
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| `camera` | `mode`: "scroll", "feed", "horizontal", etc.<br>`speed`: float | `{"type": "camera", "mode": "scroll", "speed": 1.0}` |
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| `effect` | `effect`: effect name<br>`intensity`: 0.0-1.0 | `{"type": "effect", "effect": "noise", "intensity": 0.5}` |
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| `position` | `mode`: "absolute", "relative", "mixed" | `{"type": "position", "mode": "mixed"}` |
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| `display` | `backend`: "terminal", "null", "websocket" | `{"type": "display", "backend": "terminal"}` |
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## Implementation Details
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### Graph Adapter Logic
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1. **Node Mapping**: Converts graph nodes to appropriate Stage classes
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2. **Effect Intensity**: Sets effect intensity globally (consistent with existing architecture)
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3. **Camera Creation**: Maps mode strings to Camera factory methods
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4. **Dependencies**: Effects automatically depend on `render.output`
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5. **Type Flow**: Ensures TEXT_BUFFER flow between render and effects
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### Validation
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- **Disconnected Nodes**: Warns about nodes without connections
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- **Cycle Detection**: Detects circular dependencies using DFS
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- **Type Validation**: Pipeline validates inlet/outlet type compatibility
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## Files Modified
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### Core Pipeline
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- `engine/pipeline/controller.py` - Pipeline class (no changes needed, uses existing architecture)
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- `engine/pipeline/graph_adapter.py` - Added effect intensity setting, fixed PositionStage creation
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- `engine/app/pipeline_runner.py` - Added graph config support
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### Documentation
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- `AGENTS.md` - Updated with task tracking
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## Test Results
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```
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17 tests passed in 0.23s
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- Graph creation and manipulation
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- Connection handling and validation
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- TOML loading and parsing
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- Pipeline conversion and execution
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- Effect intensity configuration
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- Camera mode mapping
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- Positioning mode support
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```
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## Usage Examples
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### Running with Graph Config
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```bash
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python -c "
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from engine.effects.plugins import discover_plugins
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from engine.pipeline.graph_toml import load_pipeline_from_toml
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discover_plugins()
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pipeline = load_pipeline_from_toml('examples/pipeline_graph.toml')
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"
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```
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### Integration with Pipeline Runner
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```bash
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# The pipeline runner now supports graph configs
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# (Implementation in progress)
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```
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## Benefits
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1. **Simplified Configuration**: No need to manually create Stage instances
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2. **Visual Representation**: Graph structure is easier to understand than class hierarchy
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3. **Automatic Dependency Resolution**: Pipeline handles stage ordering automatically
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4. **Flexible Composition**: Easy to add/remove/modify pipeline stages
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5. **Backward Compatible**: Existing presets and stages continue to work
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## Future Enhancements
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1. **CLI Integration**: Add `--graph-config` flag to mainline command
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2. **Visual Builder**: Web-based drag-and-drop pipeline editor
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3. **Script Execution**: Support for loops, conditionals, and timing in graph scripts
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4. **Parameter Binding**: Real-time sensor-to-parameter bindings in graph config
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5. **Pipeline Inspection**: Visual DAG representation with metrics
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docs/graph-dsl.md
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docs/graph-dsl.md
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# Graph-Based Pipeline DSL
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This document describes the new graph-based DSL for defining pipelines in Mainline.
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## Overview
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The graph DSL represents pipelines as nodes and connections, replacing the verbose `XYZStage` naming convention with a more intuitive graph abstraction.
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## TOML Syntax
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### Basic Pipeline
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```toml
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[nodes.source]
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type = "source"
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source = "headlines"
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[nodes.camera]
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type = "camera"
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mode = "scroll"
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[nodes.display]
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type = "display"
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backend = "terminal"
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[connections]
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list = ["source -> camera -> display"]
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```
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### With Effects
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```toml
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[nodes.source]
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type = "source"
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source = "headlines"
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[nodes.noise]
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type = "effect"
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effect = "noise"
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intensity = 0.5
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[nodes.fade]
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type = "effect"
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effect = "fade"
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intensity = 0.8
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[nodes.display]
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type = "display"
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backend = "terminal"
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[connections]
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list = ["source -> noise -> fade -> display"]
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```
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### With Positioning
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```toml
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[nodes.source]
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type = "source"
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source = "headlines"
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[nodes.position]
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type = "position"
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mode = "mixed"
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[nodes.display]
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type = "display"
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backend = "terminal"
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[connections]
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list = ["source -> position -> display"]
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```
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## Python API
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### Basic Construction
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```python
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from engine.pipeline.graph import Graph, NodeType
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graph = Graph()
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graph.node("source", NodeType.SOURCE, source="headlines")
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graph.node("camera", NodeType.CAMERA, mode="scroll")
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graph.node("display", NodeType.DISPLAY, backend="terminal")
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graph.chain("source", "camera", "display")
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pipeline = graph_to_pipeline(graph)
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```
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### With Effects
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```python
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from engine.pipeline.graph import Graph, NodeType
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graph = Graph()
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graph.node("source", NodeType.SOURCE, source="headlines")
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graph.node("noise", NodeType.EFFECT, effect="noise", intensity=0.5)
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graph.node("fade", NodeType.EFFECT, effect="fade", intensity=0.8)
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graph.node("display", NodeType.DISPLAY, backend="terminal")
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graph.chain("source", "noise", "fade", "display")
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pipeline = graph_to_pipeline(graph)
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```
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### Dictionary/JSON Input
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```python
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from engine.pipeline.graph_adapter import dict_to_pipeline
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data = {
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"nodes": {
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"source": "headlines",
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"noise": {"type": "effect", "effect": "noise", "intensity": 0.5},
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"display": {"type": "display", "backend": "terminal"}
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},
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"connections": ["source -> noise -> display"]
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}
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pipeline = dict_to_pipeline(data)
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```
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## CLI Usage
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### Using Graph Config File
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```bash
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mainline --graph-config pipeline.toml
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```
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### Inline Graph Definition
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```bash
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mainline --graph 'source:headlines -> noise:noise:0.5 -> display:terminal'
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```
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### With Preset Override
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```bash
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mainline --preset demo --graph-modify 'add:noise:0.5 after:source'
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```
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## Node Types
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| Type | Description | Config Options |
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|------|-------------|----------------|
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| `source` | Data source | `source`: "headlines", "poetry", "empty", etc. |
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| `camera` | Viewport camera | `mode`: "scroll", "feed", "horizontal", etc. `speed`: float |
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| `effect` | Visual effect | `effect`: effect name, `intensity`: 0.0-1.0 |
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| `position` | Positioning mode | `mode`: "absolute", "relative", "mixed" |
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| `display` | Output backend | `backend`: "terminal", "null", "websocket", etc. |
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| `render` | Text rendering | (auto-injected) |
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| `overlay` | Message overlay | (auto-injected) |
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|
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|
## Advanced Features
|
||||||
|
|
||||||
|
### Conditional Connections
|
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|
|
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|
```toml
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|
[connections]
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|
list = ["source -> camera -> display"]
|
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|
# Effects can be conditionally enabled/disabled
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|
```
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|
|
||||||
|
### Parameter Binding
|
||||||
|
|
||||||
|
```toml
|
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|
[nodes.noise]
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|
type = "effect"
|
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|
effect = "noise"
|
||||||
|
intensity = 1.0
|
||||||
|
# intensity can be bound to sensor values at runtime
|
||||||
|
```
|
||||||
|
|
||||||
|
### Pipeline Inspection
|
||||||
|
|
||||||
|
```toml
|
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|
[nodes.inspect]
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|
type = "pipeline-inspect"
|
||||||
|
# Renders live pipeline visualization
|
||||||
|
```
|
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|
|
||||||
|
## Comparison with Stage-Based Approach
|
||||||
|
|
||||||
|
### Old (Stage-Based)
|
||||||
|
|
||||||
|
```python
|
||||||
|
pipeline = Pipeline()
|
||||||
|
pipeline.add_stage("source", DataSourceStage(HeadlinesDataSource()))
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|
pipeline.add_stage("camera", CameraStage(Camera.scroll()))
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pipeline.add_stage("render", FontStage())
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|
pipeline.add_stage("noise", EffectPluginStage(noise_effect))
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pipeline.add_stage("display", DisplayStage(terminal_display))
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|
```
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|
|
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|
### New (Graph-Based)
|
||||||
|
|
||||||
|
```python
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|
graph = Graph()
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|
graph.node("source", NodeType.SOURCE, source="headlines")
|
||||||
|
graph.node("camera", NodeType.CAMERA, mode="scroll")
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||||||
|
graph.node("noise", NodeType.EFFECT, effect="noise")
|
||||||
|
graph.node("display", NodeType.DISPLAY, backend="terminal")
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||||||
|
graph.chain("source", "camera", "noise", "display")
|
||||||
|
pipeline = graph_to_pipeline(graph)
|
||||||
|
```
|
||||||
|
|
||||||
|
The graph system automatically:
|
||||||
|
- Inserts the render stage between camera and effects
|
||||||
|
- Handles capability-based dependency resolution
|
||||||
|
- Auto-injects required stages (camera_update, render, etc.)
|
||||||
219
docs/presets-usage.md
Normal file
219
docs/presets-usage.md
Normal file
@@ -0,0 +1,219 @@
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|||||||
|
# Presets Usage Guide
|
||||||
|
|
||||||
|
## Overview
|
||||||
|
|
||||||
|
The sideline branch introduces a new preset system that allows you to easily configure different pipeline behaviors. This guide explains the available presets and how to use them.
|
||||||
|
|
||||||
|
## Available Presets
|
||||||
|
|
||||||
|
### 1. upstream-default
|
||||||
|
|
||||||
|
**Purpose:** Matches the default upstream Mainline operation for comparison.
|
||||||
|
|
||||||
|
**Configuration:**
|
||||||
|
- **Display:** Terminal (not pygame)
|
||||||
|
- **Camera:** Scroll mode
|
||||||
|
- **Effects:** noise, fade, glitch, firehose (classic four effects)
|
||||||
|
- **Positioning:** Mixed mode
|
||||||
|
- **Message Overlay:** Disabled (matches upstream)
|
||||||
|
|
||||||
|
**Usage:**
|
||||||
|
```bash
|
||||||
|
python -m mainline --preset upstream-default --display terminal
|
||||||
|
```
|
||||||
|
|
||||||
|
**Best for:**
|
||||||
|
- Comparing sideline vs upstream behavior
|
||||||
|
- Legacy terminal-based operation
|
||||||
|
- Baseline performance testing
|
||||||
|
|
||||||
|
### 2. demo
|
||||||
|
|
||||||
|
**Purpose:** Showcases sideline features including hotswappable effects and sensors.
|
||||||
|
|
||||||
|
**Configuration:**
|
||||||
|
- **Display:** Pygame (graphical display)
|
||||||
|
- **Camera:** Scroll mode
|
||||||
|
- **Effects:** noise, fade, glitch, firehose, hud (with visual feedback)
|
||||||
|
- **Positioning:** Mixed mode
|
||||||
|
- **Message Overlay:** Enabled (with ntfy integration)
|
||||||
|
|
||||||
|
**Features:**
|
||||||
|
- **Hotswappable Effects:** Effects can be toggled and modified at runtime
|
||||||
|
- **LFO Sensor Modulation:** Oscillator sensor provides smooth intensity modulation
|
||||||
|
- **Visual Feedback:** HUD effect shows current effect state and pipeline info
|
||||||
|
- **Mixed Positioning:** Optimal balance of performance and control
|
||||||
|
|
||||||
|
**Usage:**
|
||||||
|
```bash
|
||||||
|
python -m mainline --preset demo --display pygame
|
||||||
|
```
|
||||||
|
|
||||||
|
**Best for:**
|
||||||
|
- Exploring sideline capabilities
|
||||||
|
- Testing effect hotswapping
|
||||||
|
- Demonstrating sensor integration
|
||||||
|
|
||||||
|
### 3. demo-base / demo-pygame
|
||||||
|
|
||||||
|
**Purpose:** Base presets for custom effect hotswapping experiments.
|
||||||
|
|
||||||
|
**Configuration:**
|
||||||
|
- **Display:** Terminal (base) or Pygame (pygame variant)
|
||||||
|
- **Camera:** Feed mode
|
||||||
|
- **Effects:** Empty (add your own)
|
||||||
|
- **Positioning:** Mixed mode
|
||||||
|
|
||||||
|
**Usage:**
|
||||||
|
```bash
|
||||||
|
python -m mainline --preset demo-pygame --display pygame
|
||||||
|
```
|
||||||
|
|
||||||
|
### 4. Other Presets
|
||||||
|
|
||||||
|
- `poetry`: Poetry feed with subtle effects
|
||||||
|
- `firehose`: High-speed firehose mode
|
||||||
|
- `ui`: Interactive UI mode with control panel
|
||||||
|
- `fixture`: Uses cached headline fixtures
|
||||||
|
- `websocket`: WebSocket display mode
|
||||||
|
|
||||||
|
## Positioning Modes
|
||||||
|
|
||||||
|
The `--positioning` flag controls how text is positioned in the terminal:
|
||||||
|
|
||||||
|
```bash
|
||||||
|
# Relative positioning (newlines, good for scrolling)
|
||||||
|
python -m mainline --positioning relative --preset demo
|
||||||
|
|
||||||
|
# Absolute positioning (cursor codes, good for overlays)
|
||||||
|
python -m mainline --positioning absolute --preset demo
|
||||||
|
|
||||||
|
# Mixed positioning (default, optimal balance)
|
||||||
|
python -m mainline --positioning mixed --preset demo
|
||||||
|
```
|
||||||
|
|
||||||
|
## Pipeline Stages
|
||||||
|
|
||||||
|
### Upstream-Default Pipeline
|
||||||
|
|
||||||
|
1. **Source Stage:** Headlines data source
|
||||||
|
2. **Viewport Filter:** Filters items to viewport height
|
||||||
|
3. **Font Stage:** Renders headlines as block characters
|
||||||
|
4. **Camera Stages:** Scrolling animation
|
||||||
|
5. **Effect Stages:** noise, fade, glitch, firehose
|
||||||
|
6. **Display Stage:** Terminal output
|
||||||
|
|
||||||
|
### Demo Pipeline
|
||||||
|
|
||||||
|
1. **Source Stage:** Headlines data source
|
||||||
|
2. **Viewport Filter:** Filters items to viewport height
|
||||||
|
3. **Font Stage:** Renders headlines as block characters
|
||||||
|
4. **Camera Stages:** Scrolling animation
|
||||||
|
5. **Effect Stages:** noise, fade, glitch, firehose, hud
|
||||||
|
6. **Message Overlay:** Ntfy message integration
|
||||||
|
7. **Display Stage:** Pygame output
|
||||||
|
|
||||||
|
## Command-Line Examples
|
||||||
|
|
||||||
|
### Basic Usage
|
||||||
|
|
||||||
|
```bash
|
||||||
|
# Run upstream-default preset
|
||||||
|
python -m mainline --preset upstream-default --display terminal
|
||||||
|
|
||||||
|
# Run demo preset
|
||||||
|
python -m mainline --preset demo --display pygame
|
||||||
|
|
||||||
|
# Run with custom positioning
|
||||||
|
python -m mainline --preset demo --display pygame --positioning absolute
|
||||||
|
```
|
||||||
|
|
||||||
|
### Comparison Testing
|
||||||
|
|
||||||
|
```bash
|
||||||
|
# Capture upstream output
|
||||||
|
python -m mainline --preset upstream-default --display null --viewport 80x24
|
||||||
|
|
||||||
|
# Capture sideline output
|
||||||
|
python -m mainline --preset demo --display null --viewport 80x24
|
||||||
|
```
|
||||||
|
|
||||||
|
### Hotswapping Effects
|
||||||
|
|
||||||
|
The demo preset supports hotswapping effects at runtime:
|
||||||
|
- Use the WebSocket display to send commands
|
||||||
|
- Toggle effects on/off
|
||||||
|
- Adjust intensity values in real-time
|
||||||
|
|
||||||
|
## Configuration Files
|
||||||
|
|
||||||
|
### Built-in Presets
|
||||||
|
|
||||||
|
Location: `engine/pipeline/presets.py` (Python code)
|
||||||
|
|
||||||
|
### User Presets
|
||||||
|
|
||||||
|
Location: `~/.config/mainline/presets.toml` or `./presets.toml`
|
||||||
|
|
||||||
|
Example user preset:
|
||||||
|
```toml
|
||||||
|
[presets.my-custom-preset]
|
||||||
|
description = "My custom configuration"
|
||||||
|
source = "headlines"
|
||||||
|
display = "terminal"
|
||||||
|
camera = "scroll"
|
||||||
|
effects = ["noise", "fade"]
|
||||||
|
positioning = "mixed"
|
||||||
|
viewport_width = 100
|
||||||
|
viewport_height = 30
|
||||||
|
```
|
||||||
|
|
||||||
|
## Sensor Configuration
|
||||||
|
|
||||||
|
### Oscillator Sensor (LFO)
|
||||||
|
|
||||||
|
The oscillator sensor provides Low Frequency Oscillator modulation:
|
||||||
|
|
||||||
|
```toml
|
||||||
|
[sensors.oscillator]
|
||||||
|
enabled = true
|
||||||
|
waveform = "sine" # sine, square, triangle, sawtooth
|
||||||
|
frequency = 0.05 # 20 second cycle (gentle)
|
||||||
|
amplitude = 0.5 # 50% modulation
|
||||||
|
```
|
||||||
|
|
||||||
|
### Effect Configuration
|
||||||
|
|
||||||
|
Effect intensities can be configured with initial values:
|
||||||
|
|
||||||
|
```toml
|
||||||
|
[effect_configs.noise]
|
||||||
|
enabled = true
|
||||||
|
intensity = 1.0
|
||||||
|
|
||||||
|
[effect_configs.fade]
|
||||||
|
enabled = true
|
||||||
|
intensity = 1.0
|
||||||
|
|
||||||
|
[effect_configs.glitch]
|
||||||
|
enabled = true
|
||||||
|
intensity = 0.5
|
||||||
|
```
|
||||||
|
|
||||||
|
## Troubleshooting
|
||||||
|
|
||||||
|
### No Display Output
|
||||||
|
|
||||||
|
- Check if display backend is available (pygame, terminal, etc.)
|
||||||
|
- Use `--display null` for headless testing
|
||||||
|
|
||||||
|
### Effects Not Modulating
|
||||||
|
|
||||||
|
- Ensure sensor is enabled in presets.toml
|
||||||
|
- Check effect intensity values in configuration
|
||||||
|
|
||||||
|
### Performance Issues
|
||||||
|
|
||||||
|
- Use `--positioning relative` for large buffers
|
||||||
|
- Reduce viewport height for better performance
|
||||||
|
- Use null display for testing without rendering
|
||||||
136
examples/graph_dsl_demo.py
Normal file
136
examples/graph_dsl_demo.py
Normal file
@@ -0,0 +1,136 @@
|
|||||||
|
#!/usr/bin/env python3
|
||||||
|
"""
|
||||||
|
Demo script showing the new graph-based DSL for pipeline configuration.
|
||||||
|
|
||||||
|
This demonstrates how to define pipelines using the graph abstraction,
|
||||||
|
which is more intuitive than the verbose XYZStage naming convention.
|
||||||
|
"""
|
||||||
|
|
||||||
|
from engine.effects.plugins import discover_plugins
|
||||||
|
from engine.pipeline.graph import Graph, NodeType
|
||||||
|
from engine.pipeline.graph_adapter import graph_to_pipeline, dict_to_pipeline
|
||||||
|
|
||||||
|
|
||||||
|
def demo_imperative_api():
|
||||||
|
"""Demo: Imperative Python API for building graphs."""
|
||||||
|
print("=== Imperative Python API ===")
|
||||||
|
|
||||||
|
graph = Graph()
|
||||||
|
graph.node("source", NodeType.SOURCE, source="headlines")
|
||||||
|
graph.node("camera", NodeType.CAMERA, mode="scroll", speed=1.0)
|
||||||
|
graph.node("noise", NodeType.EFFECT, effect="noise", intensity=0.3)
|
||||||
|
graph.node("display", NodeType.DISPLAY, backend="null")
|
||||||
|
|
||||||
|
# Connect nodes in a chain
|
||||||
|
graph.chain("source", "camera", "noise", "display")
|
||||||
|
|
||||||
|
# Validate the graph
|
||||||
|
errors = graph.validate()
|
||||||
|
if errors:
|
||||||
|
print(f"Validation errors: {errors}")
|
||||||
|
return
|
||||||
|
|
||||||
|
# Convert to pipeline
|
||||||
|
pipeline = graph_to_pipeline(graph, viewport_width=80, viewport_height=24)
|
||||||
|
|
||||||
|
print(f"Pipeline created with {len(pipeline._stages)} stages:")
|
||||||
|
for name, stage in pipeline._stages.items():
|
||||||
|
print(f" - {name}: {stage.__class__.__name__}")
|
||||||
|
|
||||||
|
return pipeline
|
||||||
|
|
||||||
|
|
||||||
|
def demo_dict_api():
|
||||||
|
"""Demo: Dictionary-based API for building graphs."""
|
||||||
|
print("\n=== Dictionary API ===")
|
||||||
|
|
||||||
|
data = {
|
||||||
|
"nodes": {
|
||||||
|
"source": "headlines",
|
||||||
|
"camera": {"type": "camera", "mode": "scroll", "speed": 1.0},
|
||||||
|
"noise": {"type": "effect", "effect": "noise", "intensity": 0.5},
|
||||||
|
"fade": {"type": "effect", "effect": "fade", "intensity": 0.8},
|
||||||
|
"display": {"type": "display", "backend": "null"},
|
||||||
|
},
|
||||||
|
"connections": ["source -> camera -> noise -> fade -> display"],
|
||||||
|
}
|
||||||
|
|
||||||
|
pipeline = dict_to_pipeline(data, viewport_width=80, viewport_height=24)
|
||||||
|
|
||||||
|
print(f"Pipeline created with {len(pipeline._stages)} stages:")
|
||||||
|
for name, stage in pipeline._stages.items():
|
||||||
|
print(f" - {name}: {stage.__class__.__name__}")
|
||||||
|
|
||||||
|
return pipeline
|
||||||
|
|
||||||
|
|
||||||
|
def demo_graph_validation():
|
||||||
|
"""Demo: Graph validation."""
|
||||||
|
print("\n=== Graph Validation ===")
|
||||||
|
|
||||||
|
# Create a graph with a cycle
|
||||||
|
graph = Graph()
|
||||||
|
graph.node("a", NodeType.SOURCE)
|
||||||
|
graph.node("b", NodeType.CAMERA)
|
||||||
|
graph.node("c", NodeType.DISPLAY)
|
||||||
|
graph.connect("a", "b")
|
||||||
|
graph.connect("b", "c")
|
||||||
|
graph.connect("c", "a") # Creates cycle
|
||||||
|
|
||||||
|
errors = graph.validate()
|
||||||
|
print(f"Cycle detection errors: {errors}")
|
||||||
|
|
||||||
|
# Create a valid graph
|
||||||
|
graph2 = Graph()
|
||||||
|
graph2.node("source", NodeType.SOURCE, source="headlines")
|
||||||
|
graph2.node("display", NodeType.DISPLAY, backend="null")
|
||||||
|
graph2.connect("source", "display")
|
||||||
|
|
||||||
|
errors2 = graph2.validate()
|
||||||
|
print(f"Valid graph errors: {errors2}")
|
||||||
|
|
||||||
|
|
||||||
|
def demo_node_types():
|
||||||
|
"""Demo: Different node types."""
|
||||||
|
print("\n=== Node Types ===")
|
||||||
|
|
||||||
|
graph = Graph()
|
||||||
|
|
||||||
|
# Source node
|
||||||
|
graph.node("headlines", NodeType.SOURCE, source="headlines")
|
||||||
|
print("✓ Source node created")
|
||||||
|
|
||||||
|
# Camera node with different modes
|
||||||
|
graph.node("camera_scroll", NodeType.CAMERA, mode="scroll", speed=1.0)
|
||||||
|
graph.node("camera_feed", NodeType.CAMERA, mode="feed", speed=0.5)
|
||||||
|
graph.node("camera_horizontal", NodeType.CAMERA, mode="horizontal", speed=1.0)
|
||||||
|
print("✓ Camera nodes created (scroll, feed, horizontal)")
|
||||||
|
|
||||||
|
# Effect nodes
|
||||||
|
graph.node("noise", NodeType.EFFECT, effect="noise", intensity=0.3)
|
||||||
|
graph.node("fade", NodeType.EFFECT, effect="fade", intensity=0.8)
|
||||||
|
print("✓ Effect nodes created (noise, fade)")
|
||||||
|
|
||||||
|
# Positioning node
|
||||||
|
graph.node("position", NodeType.POSITION, mode="mixed")
|
||||||
|
print("✓ Positioning node created")
|
||||||
|
|
||||||
|
# Display nodes
|
||||||
|
graph.node("terminal", NodeType.DISPLAY, backend="terminal")
|
||||||
|
graph.node("null", NodeType.DISPLAY, backend="null")
|
||||||
|
print("✓ Display nodes created")
|
||||||
|
|
||||||
|
print(f"\nTotal nodes: {len(graph.nodes)}")
|
||||||
|
|
||||||
|
|
||||||
|
if __name__ == "__main__":
|
||||||
|
# Discover effect plugins first
|
||||||
|
discover_plugins()
|
||||||
|
|
||||||
|
# Run demos
|
||||||
|
demo_imperative_api()
|
||||||
|
demo_dict_api()
|
||||||
|
demo_graph_validation()
|
||||||
|
demo_node_types()
|
||||||
|
|
||||||
|
print("\n=== Demo Complete ===")
|
||||||
110
examples/test_graph_integration.py
Normal file
110
examples/test_graph_integration.py
Normal file
@@ -0,0 +1,110 @@
|
|||||||
|
#!/usr/bin/env python3
|
||||||
|
"""
|
||||||
|
Test script to verify graph-based pipeline integration.
|
||||||
|
|
||||||
|
This script tests that the graph DSL can be used to create working pipelines
|
||||||
|
that produce output similar to preset-based pipelines.
|
||||||
|
"""
|
||||||
|
|
||||||
|
from engine.effects.plugins import discover_plugins
|
||||||
|
from engine.pipeline.graph_toml import load_pipeline_from_toml
|
||||||
|
from engine.pipeline.params import PipelineParams
|
||||||
|
|
||||||
|
|
||||||
|
def test_graph_pipeline_execution():
|
||||||
|
"""Test that a graph-based pipeline can execute and produce output."""
|
||||||
|
print("=== Testing Graph Pipeline Execution ===")
|
||||||
|
|
||||||
|
# Discover plugins
|
||||||
|
discover_plugins()
|
||||||
|
|
||||||
|
# Load pipeline from TOML
|
||||||
|
pipeline = load_pipeline_from_toml(
|
||||||
|
"examples/pipeline_graph.toml", viewport_width=80, viewport_height=24
|
||||||
|
)
|
||||||
|
|
||||||
|
print(f"Pipeline loaded with {len(pipeline._stages)} stages")
|
||||||
|
print(f"Stages: {list(pipeline._stages.keys())}")
|
||||||
|
|
||||||
|
# Initialize pipeline
|
||||||
|
if not pipeline.initialize():
|
||||||
|
print("Failed to initialize pipeline")
|
||||||
|
return False
|
||||||
|
|
||||||
|
print("Pipeline initialized successfully")
|
||||||
|
|
||||||
|
# Set up context
|
||||||
|
ctx = pipeline.context
|
||||||
|
params = PipelineParams(viewport_width=80, viewport_height=24)
|
||||||
|
ctx.params = params
|
||||||
|
|
||||||
|
# Execute pipeline with empty items (source will provide content)
|
||||||
|
result = pipeline.execute([])
|
||||||
|
|
||||||
|
if result.success:
|
||||||
|
print(f"Pipeline executed successfully")
|
||||||
|
print(f"Output type: {type(result.data)}")
|
||||||
|
if isinstance(result.data, list):
|
||||||
|
print(f"Output lines: {len(result.data)}")
|
||||||
|
if len(result.data) > 0:
|
||||||
|
print(f"First line: {result.data[0][:50]}...")
|
||||||
|
return True
|
||||||
|
else:
|
||||||
|
print(f"Pipeline execution failed: {result.error}")
|
||||||
|
return False
|
||||||
|
|
||||||
|
|
||||||
|
def test_graph_vs_preset():
|
||||||
|
"""Compare graph-based and preset-based pipelines."""
|
||||||
|
print("\n=== Comparing Graph vs Preset ===")
|
||||||
|
|
||||||
|
from engine.pipeline import get_preset
|
||||||
|
|
||||||
|
# Load graph-based pipeline
|
||||||
|
graph_pipeline = load_pipeline_from_toml(
|
||||||
|
"examples/pipeline_graph.toml", viewport_width=80, viewport_height=24
|
||||||
|
)
|
||||||
|
|
||||||
|
# Load preset-based pipeline (using test-basic as a base)
|
||||||
|
preset = get_preset("test-basic")
|
||||||
|
if not preset:
|
||||||
|
print("test-basic preset not found")
|
||||||
|
return False
|
||||||
|
|
||||||
|
# Create pipeline from preset config
|
||||||
|
from engine.pipeline import Pipeline
|
||||||
|
|
||||||
|
preset_pipeline = Pipeline(config=preset.to_config())
|
||||||
|
|
||||||
|
print(f"Graph pipeline stages: {len(graph_pipeline._stages)}")
|
||||||
|
print(f"Preset pipeline stages: {len(preset_pipeline._stages)}")
|
||||||
|
|
||||||
|
# Compare stage types
|
||||||
|
graph_stage_types = {
|
||||||
|
name: stage.__class__.__name__ for name, stage in graph_pipeline._stages.items()
|
||||||
|
}
|
||||||
|
preset_stage_types = {
|
||||||
|
name: stage.__class__.__name__
|
||||||
|
for name, stage in preset_pipeline._stages.items()
|
||||||
|
}
|
||||||
|
|
||||||
|
print("\nGraph pipeline stages:")
|
||||||
|
for name, stage_type in graph_stage_types.items():
|
||||||
|
print(f" - {name}: {stage_type}")
|
||||||
|
|
||||||
|
print("\nPreset pipeline stages:")
|
||||||
|
for name, stage_type in preset_stage_types.items():
|
||||||
|
print(f" - {name}: {stage_type}")
|
||||||
|
|
||||||
|
return True
|
||||||
|
|
||||||
|
|
||||||
|
if __name__ == "__main__":
|
||||||
|
success1 = test_graph_pipeline_execution()
|
||||||
|
success2 = test_graph_vs_preset()
|
||||||
|
|
||||||
|
if success1 and success2:
|
||||||
|
print("\n✓ All tests passed!")
|
||||||
|
else:
|
||||||
|
print("\n✗ Some tests failed")
|
||||||
|
exit(1)
|
||||||
Reference in New Issue
Block a user