feat: Implement Protocol 13 - Real-Time Dashboard Tracking
Complete implementation of Protocol 13 featuring real-time web dashboard for monitoring multi-objective optimization studies. ## New Features ### Backend (Python) - Real-time tracking system with per-trial JSON writes - New API endpoints for metadata, optimizer state, and Pareto fronts - Unit inference from objective descriptions - Multi-objective support using Optuna's best_trials API ### Frontend (React + TypeScript) - OptimizerPanel: Real-time optimizer state (phase, strategy, progress) - ParetoPlot: Pareto front visualization with normalization toggle - 3 modes: Raw, Min-Max [0-1], Z-Score standardization - Pareto front line connecting optimal points - ParallelCoordinatesPlot: High-dimensional interactive visualization - Objectives + design variables on parallel axes - Click-to-select, hover-to-highlight - Color-coded feasibility - Dynamic units throughout all visualizations ### Documentation - Comprehensive Protocol 13 guide with architecture, data flow, usage ## Files Added - `docs/PROTOCOL_13_DASHBOARD.md` - `atomizer-dashboard/frontend/src/components/OptimizerPanel.tsx` - `atomizer-dashboard/frontend/src/components/ParetoPlot.tsx` - `atomizer-dashboard/frontend/src/components/ParallelCoordinatesPlot.tsx` - `optimization_engine/realtime_tracking.py` ## Files Modified - `atomizer-dashboard/frontend/src/pages/Dashboard.tsx` - `atomizer-dashboard/backend/api/routes/optimization.py` - `optimization_engine/intelligent_optimizer.py` ## Testing - Tested with bracket_stiffness_optimization_V2 (30 trials, 20 Pareto solutions) - Dashboard running on localhost:3001 - All P1 and P2 features verified working 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
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/**
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* Parallel Coordinates Plot - Protocol 13
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* High-dimensional visualization for multi-objective Pareto fronts
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* Shows objectives and design variables as parallel axes
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*/
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import { useState } from 'react';
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interface ParetoTrial {
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trial_number: number;
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values: number[];
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params: Record<string, number>;
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constraint_satisfied?: boolean;
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}
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interface Objective {
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name: string;
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type: 'minimize' | 'maximize';
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unit?: string;
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}
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interface DesignVariable {
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name: string;
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unit?: string;
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min: number;
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max: number;
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}
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interface ParallelCoordinatesPlotProps {
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paretoData: ParetoTrial[];
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objectives: Objective[];
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designVariables: DesignVariable[];
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}
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export function ParallelCoordinatesPlot({
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paretoData,
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objectives,
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designVariables
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}: ParallelCoordinatesPlotProps) {
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const [hoveredTrial, setHoveredTrial] = useState<number | null>(null);
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const [selectedTrials, setSelectedTrials] = useState<Set<number>>(new Set());
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if (paretoData.length === 0) {
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return (
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<div className="bg-dark-700 rounded-lg p-6 border border-dark-600">
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<h3 className="text-lg font-semibold mb-4 text-dark-100">Parallel Coordinates</h3>
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<div className="h-96 flex items-center justify-center text-dark-300">
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No Pareto front data yet
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</div>
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</div>
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);
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}
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// Combine objectives and design variables into axes
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const axes: Array<{name: string, label: string, type: 'objective' | 'param'}> = [
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...objectives.map((obj, i) => ({
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name: `obj_${i}`,
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label: obj.unit ? `${obj.name} (${obj.unit})` : obj.name,
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type: 'objective' as const
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})),
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...designVariables.map(dv => ({
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name: dv.name,
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label: dv.unit ? `${dv.name} (${dv.unit})` : dv.name,
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type: 'param' as const
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}))
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];
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// Normalize data to [0, 1] for each axis
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const normalizedData = paretoData.map(trial => {
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const allValues: number[] = [];
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// Add objectives
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trial.values.forEach(val => allValues.push(val));
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// Add design variables
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designVariables.forEach(dv => {
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allValues.push(trial.params[dv.name]);
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});
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return {
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trial_number: trial.trial_number,
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values: allValues,
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feasible: trial.constraint_satisfied !== false
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};
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});
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// Calculate min/max for each axis
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const ranges = axes.map((_, axisIdx) => {
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const values = normalizedData.map(d => d.values[axisIdx]);
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return {
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min: Math.min(...values),
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max: Math.max(...values)
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};
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});
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// Normalize function
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const normalize = (value: number, axisIdx: number): number => {
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const range = ranges[axisIdx];
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if (range.max === range.min) return 0.5;
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return (value - range.min) / (range.max - range.min);
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};
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// Chart dimensions
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const width = 800;
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const height = 400;
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const margin = { top: 80, right: 20, bottom: 40, left: 20 };
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const plotWidth = width - margin.left - margin.right;
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const plotHeight = height - margin.top - margin.bottom;
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const axisSpacing = plotWidth / (axes.length - 1);
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// Toggle trial selection
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const toggleTrial = (trialNum: number) => {
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const newSelected = new Set(selectedTrials);
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if (newSelected.has(trialNum)) {
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newSelected.delete(trialNum);
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} else {
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newSelected.add(trialNum);
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}
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setSelectedTrials(newSelected);
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};
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return (
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<div className="bg-dark-700 rounded-lg p-6 border border-dark-600">
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<div className="flex items-center justify-between mb-4">
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<h3 className="text-lg font-semibold text-dark-100">
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Parallel Coordinates ({paretoData.length} solutions)
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</h3>
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{selectedTrials.size > 0 && (
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<button
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onClick={() => setSelectedTrials(new Set())}
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className="text-xs px-3 py-1 bg-dark-600 hover:bg-dark-500 rounded text-dark-200"
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>
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Clear Selection ({selectedTrials.size})
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</button>
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)}
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</div>
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<svg width={width} height={height} className="overflow-visible">
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<g transform={`translate(${margin.left}, ${margin.top})`}>
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{/* Draw axes */}
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{axes.map((axis, i) => {
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const x = i * axisSpacing;
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return (
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<g key={axis.name} transform={`translate(${x}, 0)`}>
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{/* Axis line */}
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<line
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y1={0}
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y2={plotHeight}
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stroke="#475569"
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strokeWidth={2}
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/>
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{/* Axis label */}
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<text
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y={-10}
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textAnchor="middle"
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fill="#94a3b8"
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fontSize={12}
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className="select-none"
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transform={`rotate(-45, 0, -10)`}
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>
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{axis.label}
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</text>
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{/* Min/max labels */}
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<text
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y={plotHeight + 15}
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textAnchor="middle"
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fill="#64748b"
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fontSize={10}
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>
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{ranges[i].min.toFixed(2)}
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</text>
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<text
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y={-25}
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textAnchor="middle"
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fill="#64748b"
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fontSize={10}
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>
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{ranges[i].max.toFixed(2)}
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</text>
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</g>
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);
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})}
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{/* Draw lines for each trial */}
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{normalizedData.map(trial => {
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const isHovered = hoveredTrial === trial.trial_number;
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const isSelected = selectedTrials.has(trial.trial_number);
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const isHighlighted = isHovered || isSelected;
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// Build path
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const pathData = axes.map((_, i) => {
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const x = i * axisSpacing;
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const normalizedY = normalize(trial.values[i], i);
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const y = plotHeight * (1 - normalizedY);
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return i === 0 ? `M ${x} ${y}` : `L ${x} ${y}`;
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}).join(' ');
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return (
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<path
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key={trial.trial_number}
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d={pathData}
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fill="none"
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stroke={
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isSelected ? '#fbbf24' :
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trial.feasible ? '#10b981' : '#ef4444'
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}
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strokeWidth={isHighlighted ? 2.5 : 1}
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opacity={
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selectedTrials.size > 0
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? (isSelected ? 1 : 0.1)
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: (isHighlighted ? 1 : 0.4)
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}
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strokeLinecap="round"
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strokeLinejoin="round"
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className="transition-all duration-200 cursor-pointer"
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onMouseEnter={() => setHoveredTrial(trial.trial_number)}
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onMouseLeave={() => setHoveredTrial(null)}
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onClick={() => toggleTrial(trial.trial_number)}
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/>
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);
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})}
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{/* Hover tooltip */}
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{hoveredTrial !== null && (
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<g transform={`translate(${plotWidth + 10}, 20)`}>
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<rect
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x={0}
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y={0}
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width={120}
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height={60}
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fill="#1e293b"
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stroke="#334155"
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strokeWidth={1}
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rx={4}
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/>
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<text x={10} y={20} fill="#e2e8f0" fontSize={12} fontWeight="bold">
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Trial #{hoveredTrial}
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</text>
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<text x={10} y={38} fill="#94a3b8" fontSize={10}>
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Click to select
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</text>
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<text x={10} y={52} fill="#94a3b8" fontSize={10}>
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{selectedTrials.has(hoveredTrial) ? '✓ Selected' : '○ Not selected'}
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</text>
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</g>
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)}
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</g>
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</svg>
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{/* Legend */}
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<div className="flex gap-6 justify-center mt-4 text-sm">
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<div className="flex items-center gap-2">
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<div className="w-8 h-0.5 bg-green-400" />
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<span className="text-dark-200">Feasible</span>
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</div>
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<div className="flex items-center gap-2">
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<div className="w-8 h-0.5 bg-red-400" />
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<span className="text-dark-200">Infeasible</span>
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</div>
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<div className="flex items-center gap-2">
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<div className="w-8 h-0.5 bg-yellow-400" style={{ height: '2px' }} />
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<span className="text-dark-200">Selected</span>
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</div>
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</div>
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</div>
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);
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}
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