forked from genewildish/Mainline
David Gwilliam
38bc9a2c13
Add script that renders the standard Mainline visualization using the graph-based DSL. This demonstrates the default behavior with: - Headlines source data - Scroll camera mode - Terminal display - Classic effects: noise, fade, glitch, firehose Files added: - examples/default_visualization.py - Main script - examples/default_visualization.toml - TOML configuration - examples/README.md - Documentation for all examples Usage: python examples/default_visualization.py
87 lines
2.5 KiB
Python
87 lines
2.5 KiB
Python
#!/usr/bin/env python3
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"""
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Default Mainline Visualization
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Renders the standard Mainline visualization using the graph-based DSL.
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This demonstrates the default behavior: headlines source, scroll camera,
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terminal display, with classic effects (noise, fade, glitch, firehose).
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Usage:
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python examples/default_visualization.py
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The visualization will be rendered once and printed to stdout.
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"""
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import sys
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from pathlib import Path
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# Add the project root to Python path
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sys.path.insert(0, str(Path(__file__).parent.parent))
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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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from engine.pipeline.params import PipelineParams
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def main():
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"""Render the default Mainline visualization."""
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print("Loading default Mainline visualization...")
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print("=" * 70)
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# Discover effect plugins
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discover_plugins()
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# Path to the TOML configuration
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toml_path = Path(__file__).parent / "default_visualization.toml"
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if not toml_path.exists():
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print(f"Error: Configuration file not found: {toml_path}", file=sys.stderr)
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sys.exit(1)
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# Load pipeline from TOML configuration
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try:
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pipeline = load_pipeline_from_toml(
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toml_path, viewport_width=80, viewport_height=24
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)
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print(f"✓ Pipeline loaded from {toml_path.name}")
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print(f" Stages: {list(pipeline._stages.keys())}")
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except Exception as e:
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print(f"Error loading pipeline: {e}", file=sys.stderr)
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sys.exit(1)
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# Initialize the pipeline
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if not pipeline.initialize():
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print("Error: Failed to initialize pipeline", file=sys.stderr)
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sys.exit(1)
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print("✓ Pipeline initialized")
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# Set up execution context
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ctx = pipeline.context
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ctx.terminal_width = 80
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ctx.terminal_height = 24
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# Create params for the execution
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params = PipelineParams(viewport_width=80, viewport_height=24)
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ctx.params = params
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# Execute the pipeline (empty items list - source will provide content)
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print("Executing pipeline...")
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result = pipeline.execute([])
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# Render output
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if result.success:
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print("=" * 70)
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print("Visualization Output:")
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print("=" * 70)
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for i, line in enumerate(result.data):
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print(line)
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print("=" * 70)
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print(f"✓ Successfully rendered {len(result.data)} lines")
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else:
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print(f"Error: Pipeline execution failed: {result.error}", file=sys.stderr)
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sys.exit(1)
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if __name__ == "__main__":
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main()
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