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Atomizer/atomizer-dashboard/frontend/src/components/plotly/README.md
Antoine 8cbdbcad78 feat: Add Protocol 13 adaptive optimization, Plotly charts, and dashboard improvements
## Protocol 13: Adaptive Multi-Objective Optimization
- Iterative FEA + Neural Network surrogate workflow
- Initial FEA sampling, NN training, NN-accelerated search
- FEA validation of top NN predictions, retraining loop
- adaptive_state.json tracks iteration history and best values
- M1 mirror study (V11) with 103 FEA, 3000 NN trials

## Dashboard Visualization Enhancements
- Added Plotly.js interactive charts (parallel coords, Pareto, convergence)
- Lazy loading with React.lazy() for performance
- Code splitting: plotly.js-basic-dist (~1MB vs 3.5MB)
- Chart library toggle (Recharts default, Plotly on-demand)
- ExpandableChart component for full-screen modal views
- ConsoleOutput component for real-time log viewing

## Documentation
- Protocol 13 detailed documentation
- Dashboard visualization guide
- Plotly components README
- Updated run-optimization skill with Mode 5 (adaptive)

## Bug Fixes
- Fixed TypeScript errors in dashboard components
- Fixed Card component to accept ReactNode title
- Removed unused imports across components

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-12-04 07:41:54 -05:00

4.8 KiB

Plotly Chart Components

Interactive visualization components using Plotly.js for the Atomizer Dashboard.

Overview

These components provide enhanced interactivity compared to Recharts:

  • Native zoom, pan, and selection
  • Export to PNG/SVG
  • Hover tooltips with detailed information
  • Brush filtering (parallel coordinates)
  • 3D visualization support

Components

PlotlyParallelCoordinates

Multi-dimensional data visualization showing relationships between all variables.

import { PlotlyParallelCoordinates } from '../components/plotly';

<PlotlyParallelCoordinates
  trials={allTrials}
  objectives={studyMetadata.objectives}
  designVariables={studyMetadata.design_variables}
  paretoFront={paretoFront}
  height={450}
/>

Props:

Prop Type Description
trials Trial[] All trial data
objectives Objective[] Objective definitions
designVariables DesignVariable[] Design variable definitions
paretoFront Trial[] Pareto-optimal trials (optional)
height number Chart height in pixels

Features:

  • Drag on axes to filter data
  • Double-click to reset filters
  • Color coding: FEA (blue), NN (orange), Pareto (green)

PlotlyParetoPlot

2D/3D scatter plot for Pareto front visualization.

<PlotlyParetoPlot
  trials={allTrials}
  paretoFront={paretoFront}
  objectives={studyMetadata.objectives}
  height={350}
/>

Props:

Prop Type Description
trials Trial[] All trial data
paretoFront Trial[] Pareto-optimal trials
objectives Objective[] Objective definitions
height number Chart height in pixels

Features:

  • Toggle between 2D and 3D views
  • Axis selector for multi-objective problems
  • Click to select trials
  • Hover for trial details

PlotlyConvergencePlot

Optimization progress over trials.

<PlotlyConvergencePlot
  trials={allTrials}
  objectiveIndex={0}
  objectiveName="weighted_objective"
  direction="minimize"
  height={350}
/>

Props:

Prop Type Description
trials Trial[] All trial data
objectiveIndex number Which objective to plot
objectiveName string Objective display name
direction 'minimize' | 'maximize' Optimization direction
height number Chart height
showRangeSlider boolean Show zoom slider

Features:

  • Scatter points for each trial
  • Best-so-far step line
  • Range slider for zooming
  • FEA vs NN differentiation

PlotlyParameterImportance

Correlation-based parameter sensitivity analysis.

<PlotlyParameterImportance
  trials={allTrials}
  designVariables={studyMetadata.design_variables}
  objectiveIndex={0}
  objectiveName="weighted_objective"
  height={350}
/>

Props:

Prop Type Description
trials Trial[] All trial data
designVariables DesignVariable[] Design variables
objectiveIndex number Which objective
objectiveName string Objective display name
height number Chart height

Features:

  • Horizontal bar chart of correlations
  • Sort by importance or name
  • Color: Red (positive), Green (negative)
  • Pearson correlation coefficient

Bundle Optimization

To minimize bundle size, we use:

  1. plotly.js-basic-dist: Smaller bundle (~1MB vs 3.5MB)

    • Includes: scatter, bar, parcoords
    • Excludes: 3D plots, maps, animations
  2. Lazy Loading: Components loaded on demand

    const PlotlyParetoPlot = lazy(() =>
      import('./plotly/PlotlyParetoPlot')
        .then(m => ({ default: m.PlotlyParetoPlot }))
    );
    
  3. Code Splitting: Vite config separates Plotly into its own chunk

    manualChunks: {
      plotly: ['plotly.js-basic-dist', 'react-plotly.js']
    }
    

Usage with Suspense

Always wrap Plotly components with Suspense:

<Suspense fallback={<ChartLoading />}>
  <PlotlyParetoPlot {...props} />
</Suspense>

Type Definitions

interface Trial {
  trial_number: number;
  values: number[];
  params: Record<string, number>;
  user_attrs?: Record<string, any>;
  source?: 'FEA' | 'NN' | 'V10_FEA';
}

interface Objective {
  name: string;
  direction?: 'minimize' | 'maximize';
  unit?: string;
}

interface DesignVariable {
  name: string;
  unit?: string;
  min?: number;
  max?: number;
}

Styling

Components use transparent backgrounds for dark theme compatibility:

  • paper_bgcolor: 'rgba(0,0,0,0)'
  • plot_bgcolor: 'rgba(0,0,0,0)'
  • Font: Inter, system-ui, sans-serif
  • Grid colors: Tailwind gray palette

Export Options

All Plotly charts include a mode bar with:

  • Download PNG
  • Download SVG (via menu)
  • Zoom, Pan, Reset
  • Auto-scale

Configure export in the config prop:

config={{
  toImageButtonOptions: {
    format: 'png',
    filename: 'my_chart',
    height: 600,
    width: 1200,
    scale: 2
  }
}}