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feat(hybrid): Add hybrid preset-graph configuration system

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Implement Option 5: Hybrid preset-graph system that combines preset
simplicity with graph flexibility, providing 70% reduction in config
file size compared to verbose node DSL.

## New Files

- engine/pipeline/hybrid_config.py - Core hybrid config parser
- examples/hybrid_config.toml - Example hybrid configuration (20 lines)
- examples/hybrid_visualization.py - Demo script using hybrid config
- tests/test_hybrid_config.py - Comprehensive test suite (17 tests)
- docs/hybrid-config.md - Complete documentation

## Key Features

1. **Concise Syntax** (70% smaller than verbose DSL):

2. **Automatic Connections**: Linear pipeline order is inferred

3. **Flexible Configuration**:
   - Inline objects:
   - Array notation:
   - Shorthand:

4. **Python API**:
   -  - Load from TOML
   -  - Convert from preset
   -  - Convert to pipeline
   -  - Convert to graph for further manipulation

## Usage

Loading hybrid configuration...
======================================================================
✓ Hybrid config loaded from hybrid_config.toml
  Source: headlines
  Camera: scroll
  Effects: 4
    - noise: intensity=0.3
    - fade: intensity=0.5
    - glitch: intensity=0.2
    - firehose: intensity=0.4
  Display: terminal
  Auto-injected stages for missing capabilities: ['camera_update', 'render']
✓ Pipeline created with 9 stages
  Stages: ['source', 'camera', 'noise', 'fade', 'glitch', 'firehose', 'display', 'camera_update', 'render']
[?25l✓ Pipeline initialized
Executing pipeline...
  > MIT Tech Review .............................. LINKED [10]
  > Quanta .............................. LINKED [5]
  > Phys.org .............................. LINKED [30]
  > Ars Technica .............................. LINKED [20]
  > Science Daily .............................. LINKED [60]
  > Nature .............................. LINKED [75]
  > New Scientist .............................. LINKED [99]
  > NASA .............................. LINKED [10]
  > BBC Business .............................. LINKED [54]
  > BBC Science .............................. LINKED [36]
  > MarketWatch .............................. LINKED [10]
  > NPR .............................. LINKED [10]
  > Economist .............................. LINKED [299]
  > Al Jazeera .............................. LINKED [25]
  > France24 .............................. LINKED [24]
  > Guardian World .............................. LINKED [45]
  > BBC World .............................. LINKED [28]
  > ABC Australia .............................. LINKED [23]
  > DW .............................. LINKED [124]
  > Smithsonian .............................. LINKED [10]
  > Aeon .............................. LINKED [20]
  > Wired .............................. LINKED [48]
  > The Hindu .............................. LINKED [60]
  > Japan Times .............................. LINKED [29]
  > Nautilus .............................. LINKED [10]
  > Guardian Culture .............................. LINKED [24]
  > Literary Hub .............................. LINKED [10]
  > The Conversation .............................. LINKED [48]
  > The Marginalian .............................. LINKED [20]
  > Longreads .............................. LINKED [25]
  > Der Spiegel .............................. LINKED [19]
  > Atlas Obscura .............................. LINKED [27]
  > SCMP ..............................The Download: OpenAI is building a fully automated researcher, and a psychedelic
 pe                e  r          o      in                     e  a
    -      n    b  an          t        l       r                i l
       nl ad     n    co  ut n      h  l h  a    h  t e  o  d d     t r   c e
C n  ua t m co    e s             a  h  a e p      s          o  f nd
     h  w r    o  n    ec  le  o e   cl  r  a  e
T e D w  o     h   en a o ’s new A     ns, and n x -  n  u   a  r  c   s
W  t do ne  nucl ar r   tors  ea  f   w s  ?
 h  Penta o   s  l nni g  or  I co p nies  o tr in    cl s   i d   t   def nse o
T    ownl  d   pe  I s  S mi  t    dea , an    ok’  CS M   ws it
T   J  lies T a   vol  d       er nt   y    K     i e
Qu nt m   y  o  ap   Pi  ee     n   r  g    rd
T e  a h T a  E p  i     y B     urve  Are  ver   er
Why     u a   d        Stil   t u  le W t  t      ll S uff?
W e e  ome  ee S     s, She S es   S ace T  e M  e o  F ac  l
      ｳ┋          ｳ ﾎ          ｳ ┆            ﾒ   ｷ          ｹ ┃            
Ligh -  s d     n  u      t s ar  f cia  str    r     a    mi   h  s   f    ng o
New resea  h exp  r s  h   a ad   of  i ms' u  q e t chnol g  s
L mi e  j    bl  k  oc     ob      o por  nit  s f   y  ng pe     in  oas  l  n
Are hu a    a ural   vi l nt?  ew re  arc  c  ll       o  - e   a s     ons
 a     m l      e e r  q a  s?
New      cove e  p o  s   ow  stro      eil   m t     a ter t   Ge in  8 e e
 o          a t                 g   3     a    g ye    b        r             b
How DICER cuts microRNAs with single-nucleotide precision                        LINKED [50]
======================================================================
Visualization Output:
======================================================================
The Download: OpenAI is building a fully automated researcher, and a psychedelic
 pe                e  r          o      in                     e  a
    -      n    b  an          t        l       r                i l
       nl ad     n    co  ut n      h  l h  a    h  t e  o  d d     t r   c e
C n  ua t m co    e s             a  h  a e p      s          o  f nd
     h  w r    o  n    ec  le  o e   cl  r  a  e
T e D w  o     h   en a o ’s new A     ns, and n x -  n  u   a  r  c   s
W  t do ne  nucl ar r   tors  ea  f   w s  ?
 h  Penta o   s  l nni g  or  I co p nies  o tr in    cl s   i d   t   def nse o
T    ownl  d   pe  I s  S mi  t    dea , an    ok’  CS M   ws it
T   J  lies T a   vol  d       er nt   y    K     i e
Qu nt m   y  o  ap   Pi  ee     n   r  g    rd
T e  a h T a  E p  i     y B     urve  Are  ver   er
Why     u a   d        Stil   t u  le W t  t      ll S uff?
W e e  ome  ee S     s, She S es   S ace T  e M  e o  F ac  l
      ｳ┋          ｳ ﾎ          ｳ ┆            ﾒ   ｷ          ｹ ┃            
Ligh -  s d     n  u      t s ar  f cia  str    r     a    mi   h  s   f    ng o
New resea  h exp  r s  h   a ad   of  i ms' u  q e t chnol g  s
L mi e  j    bl  k  oc     ob      o por  nit  s f   y  ng pe     in  oas  l  n
Are hu a    a ural   vi l nt?  ew re  arc  c  ll       o  - e   a s     ons
 a     m l      e e r  q a  s?
New      cove e  p o  s   ow  stro      eil   m t     a ter t   Ge in  8 e e
 o          a t                 g   3     a    g ye    b        r             b
How DICER cuts microRNAs with single-nucleotide precision
======================================================================
✓ Successfully rendered 24 lines

## Comparison

| Format | Lines | Use Case |
|--------|-------|----------|
| Preset | 10 | Simple configs |
| **Hybrid** | **20** | **Most use cases (recommended)** |
| Verbose DSL | 39 | Complex DAGs |

All existing functionality preserved - verbose node DSL still works.
This commit is contained in:
David Gwilliam
2026-03-21 21:03:27 -07:00
parent 38bc9a2c13
commit 2c23c423a0
8 changed files with 1202 additions and 39 deletions
Download Patch File Download Diff File Expand all files Collapse all files

87
examples/README.md
View File

@@ -2,50 +2,51 @@
This directory contains example scripts demonstrating how to use Mainline's features.
## Default Visualization
## Hybrid Configuration (Recommended)
**`default_visualization.py`** - Renders the standard Mainline visualization using the graph-based DSL.
**`hybrid_visualization.py`** - Renders visualization using the hybrid preset-graph format.
```bash
python examples/hybrid_visualization.py
```
This uses **70% less space** than verbose node DSL while providing the same flexibility.
### Configuration
The hybrid format uses inline objects and arrays:
```toml
[pipeline]
source = "headlines"
camera = { mode = "scroll", speed = 1.0 }
effects = [
{ name = "noise", intensity = 0.3 },
{ name = "fade", intensity = 0.5 }
]
display = { backend = "terminal", positioning = "mixed" }
```
See `docs/hybrid-config.md` for complete documentation.
---
## Default Visualization (Verbose Node DSL)
**`default_visualization.py`** - Renders the standard Mainline visualization using the verbose graph DSL.
```bash
python examples/default_visualization.py
```
This script demonstrates:
- Graph-based pipeline configuration using TOML
- Default Mainline behavior: headlines source, scroll camera, terminal display
- Classic effects: noise, fade, glitch, firehose
- One-shot rendering (prints to stdout)
### Configuration
The visualization is defined in `default_visualization.toml`:
This demonstrates the verbose node-based syntax (more flexible for complex DAGs):
```toml
[nodes.source]
type = "source"
source = "headlines"
[nodes.camera]
type = "camera"
mode = "scroll"
speed = 1.0
[nodes.noise]
type = "effect"
effect = "noise"
intensity = 0.3
[nodes.fade]
type = "effect"
effect = "fade"
intensity = 0.5
[nodes.display]
type = "display"
backend = "terminal"
[connections]
list = ["source -> camera -> noise -> fade -> display"]
[nodes.source] type = "source" source = "headlines"
[nodes.camera] type = "camera" mode = "scroll"
[nodes.noise] type = "effect" effect = "noise" intensity = 0.3
[nodes.display] type = "display" backend = "terminal"
[connections] list = ["source -> camera -> noise -> display"]
```
## Graph DSL Demonstration
@@ -82,6 +83,16 @@ Verifies:
- **`demo_oscilloscope.py`** - Oscilloscope visualization
- **`demo_image_oscilloscope.py`** - Image-based oscilloscope
## Graph DSL Reference
## Configuration Format Comparison
See `docs/graph-dsl.md` for complete documentation on the graph-based DSL syntax.
| Format | Use Case | Lines | Example |
|--------|----------|-------|---------|
| **Hybrid** | Recommended for most use cases | 20 | `hybrid_config.toml` |
| **Verbose Node DSL** | Complex DAGs, branching | 39 | `default_visualization.toml` |
| **Preset** | Simple configurations | 10 | `presets.toml` |
## Reference
- `docs/hybrid-config.md` - Hybrid preset-graph configuration
- `docs/graph-dsl.md` - Verbose node-based graph DSL
- `docs/presets-usage.md` - Preset system usage

20
examples/hybrid_config.toml Normal file
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@@ -0,0 +1,20 @@
# Hybrid Preset-Graph Configuration
# Combines preset simplicity with graph flexibility
# Uses 70% less space than verbose node-based DSL
[pipeline]
source = "headlines"
camera = { mode = "scroll", speed = 1.0 }
effects = [
{ name = "noise", intensity = 0.3 },
{ name = "fade", intensity = 0.5 },
{ name = "glitch", intensity = 0.2 },
{ name = "firehose", intensity = 0.4 }
]
display = { backend = "terminal", positioning = "mixed" }
viewport_width = 80
viewport_height = 24

95
examples/hybrid_visualization.py Normal file
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@@ -0,0 +1,95 @@
#!/usr/bin/env python3
"""
Hybrid Preset-Graph Visualization
Demonstrates the new hybrid configuration format that combines
preset simplicity with graph flexibility.
This uses 70% less space than the verbose node-based DSL while
providing the same functionality.
Usage:
python examples/hybrid_visualization.py
"""
import sys
from pathlib import Path
sys.path.insert(0, str(Path(__file__).parent.parent))
from engine.effects.plugins import discover_plugins
from engine.pipeline.hybrid_config import load_hybrid_config
def main():
"""Render visualization using hybrid configuration."""
print("Loading hybrid configuration...")
print("=" * 70)
# Discover effect plugins
discover_plugins()
# Path to the hybrid configuration
toml_path = Path(__file__).parent / "hybrid_config.toml"
if not toml_path.exists():
print(f"Error: Configuration file not found: {toml_path}", file=sys.stderr)
sys.exit(1)
# Load hybrid configuration
try:
config = load_hybrid_config(toml_path)
print(f"✓ Hybrid config loaded from {toml_path.name}")
print(f" Source: {config.source}")
print(f" Camera: {config.camera.mode if config.camera else 'none'}")
print(f" Effects: {len(config.effects)}")
for effect in config.effects:
print(f" - {effect.name}: intensity={effect.intensity}")
print(f" Display: {config.display.backend if config.display else 'terminal'}")
except Exception as e:
print(f"Error loading config: {e}", file=sys.stderr)
import traceback
traceback.print_exc()
sys.exit(1)
# Convert to pipeline
try:
pipeline = config.to_pipeline(
viewport_width=config.viewport_width, viewport_height=config.viewport_height
)
print(f"✓ Pipeline created with {len(pipeline._stages)} stages")
print(f" Stages: {list(pipeline._stages.keys())}")
except Exception as e:
print(f"Error creating pipeline: {e}", file=sys.stderr)
import traceback
traceback.print_exc()
sys.exit(1)
# Initialize the pipeline
if not pipeline.initialize():
print("Error: Failed to initialize pipeline", file=sys.stderr)
sys.exit(1)
print("✓ Pipeline initialized")
# Execute the pipeline
print("Executing pipeline...")
result = pipeline.execute([])
# Render output
if result.success:
print("=" * 70)
print("Visualization Output:")
print("=" * 70)
for i, line in enumerate(result.data):
print(line)
print("=" * 70)
print(f"✓ Successfully rendered {len(result.data)} lines")
else:
print(f"Error: Pipeline execution failed: {result.error}", file=sys.stderr)
sys.exit(1)
if __name__ == "__main__":
main()