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Atomizer/atomizer-dashboard/frontend/src/pages/Dashboard.tsx

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import { useState, useEffect, lazy, Suspense } from 'react';
import { useNavigate } from 'react-router-dom';
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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import {
LineChart, Line, ScatterChart, Scatter,
XAxis, YAxis, CartesianGrid, Tooltip, Legend, ResponsiveContainer, Cell
} from 'recharts';
import { Terminal } from 'lucide-react';
import { useOptimizationWebSocket } from '../hooks/useWebSocket';
import { apiClient } from '../api/client';
import { useStudy } from '../context/StudyContext';
import { Card } from '../components/common/Card';
import { MetricCard } from '../components/dashboard/MetricCard';
import { ControlPanel } from '../components/dashboard/ControlPanel';
import { ClaudeTerminal } from '../components/ClaudeTerminal';
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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import { ParetoPlot } from '../components/ParetoPlot';
import { ParallelCoordinatesPlot } from '../components/ParallelCoordinatesPlot';
import { ParameterImportanceChart } from '../components/ParameterImportanceChart';
import { ConvergencePlot } from '../components/ConvergencePlot';
import { StudyReportViewer } from '../components/StudyReportViewer';
import { ConsoleOutput } from '../components/ConsoleOutput';
import { ExpandableChart } from '../components/ExpandableChart';
import type { Trial, ConvergenceDataPoint, ParameterSpaceDataPoint } from '../types';
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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// Lazy load Plotly components for better initial load performance
const PlotlyParallelCoordinates = lazy(() => import('../components/plotly/PlotlyParallelCoordinates').then(m => ({ default: m.PlotlyParallelCoordinates })));
const PlotlyParetoPlot = lazy(() => import('../components/plotly/PlotlyParetoPlot').then(m => ({ default: m.PlotlyParetoPlot })));
const PlotlyConvergencePlot = lazy(() => import('../components/plotly/PlotlyConvergencePlot').then(m => ({ default: m.PlotlyConvergencePlot })));
const PlotlyParameterImportance = lazy(() => import('../components/plotly/PlotlyParameterImportance').then(m => ({ default: m.PlotlyParameterImportance })));
// Loading placeholder for lazy components
const ChartLoading = () => (
<div className="flex items-center justify-center h-64 text-dark-400">
<div className="animate-pulse">Loading chart...</div>
</div>
);
export default function Dashboard() {
const navigate = useNavigate();
const { selectedStudy, refreshStudies } = useStudy();
const selectedStudyId = selectedStudy?.id || null;
// Redirect to home if no study selected
useEffect(() => {
if (!selectedStudy) {
navigate('/');
}
}, [selectedStudy, navigate]);
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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const [allTrials, setAllTrials] = useState<Trial[]>([]);
const [displayedTrials, setDisplayedTrials] = useState<Trial[]>([]);
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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const [bestValue, setBestValue] = useState<number>(Infinity);
const [prunedCount, setPrunedCount] = useState<number>(0);
const [alerts, setAlerts] = useState<Array<{ id: number; type: 'success' | 'warning'; message: string }>>([]);
const [alertIdCounter, setAlertIdCounter] = useState(0);
const [expandedTrials, setExpandedTrials] = useState<Set<number>>(new Set());
const [sortBy, setSortBy] = useState<'performance' | 'chronological'>('performance');
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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// Parameter Space axis selection
const [paramXIndex, setParamXIndex] = useState(0);
const [paramYIndex, setParamYIndex] = useState(1);
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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// Protocol 13: New state for metadata and Pareto front
const [studyMetadata, setStudyMetadata] = useState<any>(null);
const [paretoFront, setParetoFront] = useState<any[]>([]);
const [allTrialsRaw, setAllTrialsRaw] = useState<any[]>([]); // All trials for parallel coordinates
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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// Chart library toggle: 'recharts' (faster) or 'plotly' (more interactive but slower)
const [chartLibrary, setChartLibrary] = useState<'plotly' | 'recharts'>('recharts');
// Claude chat panel state
const [chatOpen, setChatOpen] = useState(false);
const [chatExpanded, setChatExpanded] = useState(false);
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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const showAlert = (type: 'success' | 'warning', message: string) => {
const id = alertIdCounter;
setAlertIdCounter(prev => prev + 1);
setAlerts(prev => [...prev, { id, type, message }]);
setTimeout(() => {
setAlerts(prev => prev.filter(a => a.id !== id));
}, 5000);
};
// WebSocket connection
const { connectionStatus: _connectionStatus } = useOptimizationWebSocket({
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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studyId: selectedStudyId,
onMessage: (msg) => {
if (msg.type === 'trial_completed') {
const trial = msg.data as Trial;
setAllTrials(prev => [...prev, trial]);
if (trial.objective !== null && trial.objective !== undefined && trial.objective < bestValue) {
setBestValue(trial.objective);
showAlert('success', `New best: ${trial.objective.toFixed(4)} (Trial #${trial.trial_number})`);
}
} else if (msg.type === 'trial_pruned') {
setPrunedCount(prev => prev + 1);
showAlert('warning', `Trial pruned: ${msg.data.pruning_cause}`);
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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}
}
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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});
// Load initial trial history when study changes
useEffect(() => {
if (selectedStudyId) {
setAllTrials([]);
setBestValue(Infinity);
setPrunedCount(0);
setExpandedTrials(new Set());
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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apiClient.getStudyHistory(selectedStudyId)
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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.then(data => {
const validTrials = data.trials.filter(t => t.objective !== null && t.objective !== undefined);
setAllTrials(validTrials);
if (validTrials.length > 0) {
const minObj = Math.min(...validTrials.map(t => t.objective));
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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setBestValue(minObj);
}
})
.catch(console.error);
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>
2025-11-21 15:58:00 -05:00
apiClient.getStudyPruning(selectedStudyId)
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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.then(data => {
// Use count if available (new API), fallback to array length (legacy)
setPrunedCount(data.count ?? data.pruned_trials?.length ?? 0);
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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})
.catch(console.error);
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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// Protocol 13: Fetch metadata
fetch(`/api/optimization/studies/${selectedStudyId}/metadata`)
.then(res => res.json())
.then(data => {
setStudyMetadata(data);
})
.catch(err => console.error('Failed to load metadata:', err));
// Protocol 13: Fetch Pareto front (raw format for Protocol 13 components)
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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fetch(`/api/optimization/studies/${selectedStudyId}/pareto-front`)
.then(res => res.json())
.then(paretoData => {
console.log('[Dashboard] Pareto front data:', paretoData);
if (paretoData.is_multi_objective && paretoData.pareto_front) {
console.log('[Dashboard] Setting Pareto front with', paretoData.pareto_front.length, 'trials');
setParetoFront(paretoData.pareto_front);
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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} else {
console.log('[Dashboard] No Pareto front or not multi-objective');
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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setParetoFront([]);
}
})
.catch(err => console.error('Failed to load Pareto front:', err));
// Fetch ALL trials (not just Pareto) for parallel coordinates and charts
fetch(`/api/optimization/studies/${selectedStudyId}/history`)
.then(res => res.json())
.then(data => {
// Transform to match the format expected by charts
// API returns 'objectives' (array) for multi-objective, 'objective' (number) for single
const trialsData = data.trials.map((t: any) => {
// Build values array: use objectives if available, otherwise wrap single objective
let values: number[] = [];
if (t.objectives && Array.isArray(t.objectives)) {
values = t.objectives;
} else if (t.objective !== null && t.objective !== undefined) {
values = [t.objective];
}
return {
trial_number: t.trial_number,
values,
params: t.design_variables || {},
user_attrs: t.user_attrs || {},
constraint_satisfied: t.constraint_satisfied !== false,
source: t.source || t.user_attrs?.source || 'FEA' // FEA vs NN differentiation
};
});
setAllTrialsRaw(trialsData);
})
.catch(err => console.error('Failed to load all trials:', err));
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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}
}, [selectedStudyId]);
// Sort trials based on selected sort order
useEffect(() => {
let sorted = [...allTrials];
if (sortBy === 'performance') {
// Sort by objective (best first)
sorted.sort((a, b) => {
const aObj = a.objective ?? Infinity;
const bObj = b.objective ?? Infinity;
return aObj - bObj;
});
} else {
// Chronological (newest first)
sorted.sort((a, b) => b.trial_number - a.trial_number);
}
setDisplayedTrials(sorted);
}, [allTrials, sortBy]);
// Auto-refresh polling (every 3 seconds) for trial history
useEffect(() => {
if (!selectedStudyId) return;
const refreshInterval = setInterval(() => {
apiClient.getStudyHistory(selectedStudyId)
.then(data => {
const validTrials = data.trials.filter(t => t.objective !== null && t.objective !== undefined);
setAllTrials(validTrials);
if (validTrials.length > 0) {
const minObj = Math.min(...validTrials.map(t => t.objective));
setBestValue(minObj);
}
})
.catch(err => console.error('Auto-refresh failed:', err));
}, 3000); // Poll every 3 seconds
return () => clearInterval(refreshInterval);
}, [selectedStudyId]);
// Prepare chart data with proper null/undefined handling
const convergenceData: ConvergenceDataPoint[] = allTrials
.filter(t => t.objective !== null && t.objective !== undefined)
.sort((a, b) => a.trial_number - b.trial_number)
.map((trial, idx, arr) => {
const previousTrials = arr.slice(0, idx + 1);
const validObjectives = previousTrials.map(t => t.objective).filter(o => o !== null && o !== undefined);
return {
trial_number: trial.trial_number,
objective: trial.objective,
best_so_far: validObjectives.length > 0 ? Math.min(...validObjectives) : trial.objective,
};
});
const parameterSpaceData: ParameterSpaceDataPoint[] = allTrials
.filter(t => t.objective !== null && t.objective !== undefined && t.design_variables)
.map(trial => {
const params = Object.values(trial.design_variables);
return {
trial_number: trial.trial_number,
x: params[paramXIndex] || 0,
y: params[paramYIndex] || 0,
objective: trial.objective,
isBest: trial.objective === bestValue,
};
});
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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// Calculate average objective
const validObjectives = allTrials.filter(t => t.objective !== null && t.objective !== undefined).map(t => t.objective);
const avgObjective = validObjectives.length > 0
? validObjectives.reduce((sum, obj) => sum + obj, 0) / validObjectives.length
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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: 0;
// Get parameter names
const paramNames = allTrials.length > 0 && allTrials[0].design_variables
? Object.keys(allTrials[0].design_variables)
: [];
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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// Toggle trial expansion
const toggleTrialExpansion = (trialNumber: number) => {
setExpandedTrials(prev => {
const newSet = new Set(prev);
if (newSet.has(trialNumber)) {
newSet.delete(trialNumber);
} else {
newSet.add(trialNumber);
}
return newSet;
});
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>
2025-11-21 15:58:00 -05:00
};
// Export functions
const exportJSON = () => {
if (allTrials.length === 0) return;
const data = JSON.stringify(allTrials, null, 2);
const blob = new Blob([data], { type: 'application/json' });
const url = URL.createObjectURL(blob);
const a = document.createElement('a');
a.href = url;
a.download = `${selectedStudyId}_trials.json`;
a.click();
URL.revokeObjectURL(url);
showAlert('success', 'JSON exported successfully!');
};
const exportCSV = () => {
if (allTrials.length === 0) return;
const headers = ['trial_number', 'objective', ...paramNames].join(',');
const rows = allTrials.map(t => [
t.trial_number,
t.objective,
...paramNames.map(k => t.design_variables?.[k] ?? '')
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>
2025-11-21 15:58:00 -05:00
].join(','));
const csv = [headers, ...rows].join('\n');
const blob = new Blob([csv], { type: 'text/csv' });
const url = URL.createObjectURL(blob);
const a = document.createElement('a');
a.href = url;
a.download = `${selectedStudyId}_trials.csv`;
a.click();
URL.revokeObjectURL(url);
showAlert('success', 'CSV exported successfully!');
};
return (
<div className="w-full max-w-[2400px] mx-auto px-4">
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>
2025-11-21 15:58:00 -05:00
{/* Alerts */}
<div className="fixed top-4 right-4 z-50 space-y-2">
{alerts.map(alert => (
<div
key={alert.id}
className={`px-4 py-3 rounded-lg shadow-lg transition-all duration-300 ${
alert.type === 'success'
? 'bg-green-900 border-l-4 border-green-400 text-green-100'
: 'bg-yellow-900 border-l-4 border-yellow-400 text-yellow-100'
}`}
>
{alert.message}
</div>
))}
</div>
{/* Header */}
<header className="mb-8 flex items-center justify-between border-b border-dark-600 pb-4">
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>
2025-11-21 15:58:00 -05:00
<div>
<h1 className="text-3xl font-bold text-primary-400">Live Dashboard</h1>
<p className="text-dark-300 mt-1">Real-time optimization monitoring</p>
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>
2025-11-21 15:58:00 -05:00
</div>
<div className="flex gap-2">
{/* Claude Code Terminal Toggle Button */}
<button
onClick={() => setChatOpen(!chatOpen)}
className={`flex items-center gap-2 px-4 py-2 rounded-lg transition-colors ${
chatOpen
? 'bg-primary-600 text-white'
: 'bg-dark-700 text-dark-200 hover:bg-dark-600 hover:text-white border border-dark-600'
}`}
title="Open Claude Code terminal"
>
<Terminal className="w-4 h-4" />
<span className="hidden sm:inline">Claude Code</span>
</button>
{selectedStudyId && (
<StudyReportViewer studyId={selectedStudyId} />
)}
<button
onClick={() => {
// Open Optuna dashboard on port 8081
// Note: The dashboard needs to be started separately with the correct study database
window.open('http://localhost:8081', '_blank');
}}
className="btn-secondary"
title="Open Optuna Dashboard (runs on port 8081)"
>
Optuna Dashboard
</button>
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>
2025-11-21 15:58:00 -05:00
<button onClick={exportJSON} className="btn-secondary" disabled={allTrials.length === 0}>
Export JSON
</button>
<button onClick={exportCSV} className="btn-secondary" disabled={allTrials.length === 0}>
Export CSV
</button>
{/* Chart library toggle */}
<div className="flex rounded-lg overflow-hidden border border-dark-500 ml-2">
<button
onClick={() => setChartLibrary('plotly')}
className={`px-3 py-1.5 text-sm transition-colors ${
chartLibrary === 'plotly'
? 'bg-primary-500 text-white'
: 'bg-dark-600 text-dark-200 hover:bg-dark-500'
}`}
title="Interactive Plotly charts with zoom, pan, and export"
>
Plotly
</button>
<button
onClick={() => setChartLibrary('recharts')}
className={`px-3 py-1.5 text-sm transition-colors ${
chartLibrary === 'recharts'
? 'bg-primary-500 text-white'
: 'bg-dark-600 text-dark-200 hover:bg-dark-500'
}`}
title="Simple Recharts visualization"
>
Simple
</button>
</div>
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>
2025-11-21 15:58:00 -05:00
</div>
</header>
<div className="grid grid-cols-12 gap-6">
{/* Control Panel - Left Sidebar */}
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>
2025-11-21 15:58:00 -05:00
<aside className="col-span-3">
<ControlPanel onStatusChange={refreshStudies} />
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>
2025-11-21 15:58:00 -05:00
</aside>
{/* Main Content - shrinks when chat is open */}
<main className={chatOpen ? 'col-span-5' : 'col-span-9'}>
{/* Study Name Header */}
{selectedStudyId && (
<div className="mb-4 pb-3 border-b border-dark-600">
<h2 className="text-xl font-semibold text-primary-300">
{selectedStudyId}
</h2>
{studyMetadata?.description && (
<p className="text-sm text-dark-400 mt-1">{studyMetadata.description}</p>
)}
</div>
)}
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>
2025-11-21 15:58:00 -05:00
{/* Metrics Grid */}
<div className="grid grid-cols-4 gap-4 mb-6">
<MetricCard label="Total Trials" value={allTrials.length} />
<MetricCard
label="Best Value"
value={bestValue === Infinity ? '-' : bestValue.toFixed(4)}
valueColor="text-green-400"
/>
<MetricCard
label="Avg Objective"
value={avgObjective > 0 ? avgObjective.toFixed(4) : '-'}
valueColor="text-blue-400"
/>
<MetricCard
label="Pruned"
value={prunedCount}
valueColor={prunedCount > 0 ? 'text-red-400' : 'text-green-400'}
/>
</div>
{/* Protocol 13: Intelligent Optimizer & Pareto Front */}
{selectedStudyId && paretoFront.length > 0 && studyMetadata && studyMetadata.objectives && (
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>
2025-11-21 15:58:00 -05:00
<div className="grid grid-cols-2 gap-6 mb-6">
<Card title="Optimizer Strategy">
<div className="space-y-2">
<div className="text-sm text-dark-300">
<span className="font-semibold text-dark-100">Algorithm:</span> {studyMetadata.sampler || 'NSGA-II'}
</div>
<div className="text-sm text-dark-300">
<span className="font-semibold text-dark-100">Type:</span> Multi-objective
</div>
<div className="text-sm text-dark-300">
<span className="font-semibold text-dark-100">Objectives:</span> {studyMetadata.objectives?.length || 2}
</div>
<div className="text-sm text-dark-300">
<span className="font-semibold text-dark-100">Design Variables:</span> {studyMetadata.design_variables?.length || 0}
</div>
</div>
</Card>
<ExpandableChart
title="Pareto Front"
subtitle={`${paretoFront.length} Pareto-optimal solutions`}
>
{chartLibrary === 'plotly' ? (
<Suspense fallback={<ChartLoading />}>
<PlotlyParetoPlot
trials={allTrialsRaw}
paretoFront={paretoFront}
objectives={studyMetadata.objectives}
height={350}
/>
</Suspense>
) : (
<ParetoPlot
paretoData={paretoFront}
objectives={studyMetadata.objectives}
allTrials={allTrialsRaw}
/>
)}
</ExpandableChart>
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>
2025-11-21 15:58:00 -05:00
</div>
)}
{/* Parallel Coordinates (full width for multi-objective) */}
{allTrialsRaw.length > 0 && studyMetadata && studyMetadata.objectives && studyMetadata.design_variables && (
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>
2025-11-21 15:58:00 -05:00
<div className="mb-6">
<ExpandableChart
title="Parallel Coordinates Plot"
subtitle={`${allTrialsRaw.length} trials - Design Variables → Objectives`}
>
{chartLibrary === 'plotly' ? (
<Suspense fallback={<ChartLoading />}>
<PlotlyParallelCoordinates
trials={allTrialsRaw}
objectives={studyMetadata.objectives}
designVariables={studyMetadata.design_variables}
paretoFront={paretoFront}
height={450}
/>
</Suspense>
) : (
<ParallelCoordinatesPlot
paretoData={allTrialsRaw}
objectives={studyMetadata.objectives}
designVariables={studyMetadata.design_variables}
paretoFront={paretoFront}
/>
)}
</ExpandableChart>
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>
2025-11-21 15:58:00 -05:00
</div>
)}
{/* Convergence Plot - Full Width */}
{allTrialsRaw.length > 0 && (
<div className="mb-6">
<ExpandableChart
title="Convergence Plot"
subtitle={`Best ${studyMetadata?.objectives?.[0]?.name || 'Objective'} over ${allTrialsRaw.length} trials`}
>
{chartLibrary === 'plotly' ? (
<Suspense fallback={<ChartLoading />}>
<PlotlyConvergencePlot
trials={allTrialsRaw}
objectiveIndex={0}
objectiveName={studyMetadata?.objectives?.[0]?.name || 'Objective'}
direction="minimize"
height={350}
/>
</Suspense>
) : (
<ConvergencePlot
trials={allTrialsRaw}
objectiveIndex={0}
objectiveName={studyMetadata?.objectives?.[0]?.name || 'Objective'}
direction="minimize"
/>
)}
</ExpandableChart>
</div>
)}
{/* Parameter Importance - Full Width */}
{allTrialsRaw.length > 0 && (studyMetadata?.design_variables?.length > 0 || (allTrialsRaw[0]?.params && Object.keys(allTrialsRaw[0].params).length > 0)) && (
<div className="mb-6">
<ExpandableChart
title="Parameter Importance"
subtitle={`Correlation with ${studyMetadata?.objectives?.[0]?.name || 'Objective'}`}
>
{chartLibrary === 'plotly' ? (
<Suspense fallback={<ChartLoading />}>
<PlotlyParameterImportance
trials={allTrialsRaw}
designVariables={
studyMetadata?.design_variables?.length > 0
? studyMetadata.design_variables
: Object.keys(allTrialsRaw[0]?.params || {}).map(name => ({ name }))
}
objectiveIndex={0}
objectiveName={studyMetadata?.objectives?.[0]?.name || 'Objective'}
height={350}
/>
</Suspense>
) : (
<ParameterImportanceChart
trials={allTrialsRaw}
designVariables={
studyMetadata?.design_variables?.length > 0
? studyMetadata.design_variables
: Object.keys(allTrialsRaw[0]?.params || {}).map(name => ({ name }))
}
objectiveIndex={0}
objectiveName={studyMetadata?.objectives?.[0]?.name || 'Objective'}
/>
)}
</ExpandableChart>
</div>
)}
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>
2025-11-21 15:58:00 -05:00
{/* Charts */}
<div className="grid grid-cols-2 gap-6 mb-6">
{/* Convergence Chart */}
<ExpandableChart
title="Convergence Plot (Single Objective)"
subtitle={`${convergenceData.length} trials`}
>
<Card title="Convergence Plot">
{convergenceData.length > 0 ? (
<ResponsiveContainer width="100%" height={300}>
<LineChart data={convergenceData}>
<CartesianGrid strokeDasharray="3 3" stroke="#334155" />
<XAxis
dataKey="trial_number"
stroke="#94a3b8"
label={{ value: 'Trial Number', position: 'insideBottom', offset: -5, fill: '#94a3b8' }}
/>
<YAxis
stroke="#94a3b8"
label={{ value: 'Objective', angle: -90, position: 'insideLeft', fill: '#94a3b8' }}
/>
<Tooltip
contentStyle={{ backgroundColor: '#1e293b', border: 'none', borderRadius: '8px' }}
labelStyle={{ color: '#e2e8f0' }}
/>
<Legend />
<Line
type="monotone"
dataKey="objective"
stroke="#60a5fa"
name="Objective"
dot={{ r: 3 }}
/>
<Line
type="monotone"
dataKey="best_so_far"
stroke="#10b981"
name="Best So Far"
strokeWidth={2}
dot={{ r: 4 }}
/>
</LineChart>
</ResponsiveContainer>
) : (
<div className="h-64 flex items-center justify-center text-dark-300">
No trial data yet
</div>
)}
</Card>
</ExpandableChart>
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>
2025-11-21 15:58:00 -05:00
{/* Parameter Space Chart with Selectable Axes */}
<ExpandableChart
title="Parameter Space"
subtitle={`${parameterSpaceData.length} trials - ${paramNames[paramXIndex] || 'X'} vs ${paramNames[paramYIndex] || 'Y'}`}
>
<Card title={
<div className="flex items-center justify-between w-full">
<span>Parameter Space</span>
{paramNames.length > 2 && (
<div className="flex items-center gap-2 text-sm">
<span className="text-dark-400">X:</span>
<select
value={paramXIndex}
onChange={(e) => setParamXIndex(Number(e.target.value))}
className="bg-dark-600 text-dark-100 px-2 py-1 rounded text-xs border border-dark-500"
>
{paramNames.map((name, idx) => (
<option key={idx} value={idx}>{name}</option>
))}
</select>
<span className="text-dark-400">Y:</span>
<select
value={paramYIndex}
onChange={(e) => setParamYIndex(Number(e.target.value))}
className="bg-dark-600 text-dark-100 px-2 py-1 rounded text-xs border border-dark-500"
>
{paramNames.map((name, idx) => (
<option key={idx} value={idx}>{name}</option>
))}
</select>
</div>
)}
</div>
}>
{parameterSpaceData.length > 0 ? (
<ResponsiveContainer width="100%" height={300}>
<ScatterChart>
<CartesianGrid strokeDasharray="3 3" stroke="#334155" />
<XAxis
type="number"
dataKey="x"
stroke="#94a3b8"
name={paramNames[paramXIndex] || 'X'}
label={{ value: paramNames[paramXIndex] || 'Parameter X', position: 'insideBottom', offset: -5, fill: '#94a3b8' }}
/>
<YAxis
type="number"
dataKey="y"
stroke="#94a3b8"
name={paramNames[paramYIndex] || 'Y'}
label={{ value: paramNames[paramYIndex] || 'Parameter Y', angle: -90, position: 'insideLeft', fill: '#94a3b8' }}
/>
<Tooltip
cursor={{ strokeDasharray: '3 3' }}
contentStyle={{ backgroundColor: '#1e293b', border: 'none', borderRadius: '8px' }}
labelStyle={{ color: '#e2e8f0' }}
formatter={(value: any, name: string) => {
if (name === 'objective') return [value.toFixed(4), 'Objective'];
return [value.toFixed(3), name];
}}
/>
<Scatter name="Trials" data={parameterSpaceData}>
{parameterSpaceData.map((entry, index) => (
<Cell
key={`cell-${index}`}
fill={entry.isBest ? '#10b981' : '#60a5fa'}
r={entry.isBest ? 8 : 5}
/>
))}
</Scatter>
</ScatterChart>
</ResponsiveContainer>
) : (
<div className="h-64 flex items-center justify-center text-dark-300">
No trial data yet
</div>
)}
</Card>
</ExpandableChart>
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>
2025-11-21 15:58:00 -05:00
</div>
{/* Trial History with Sort Controls */}
<Card
title={
<div className="flex items-center justify-between w-full">
<span>Trial History ({displayedTrials.length} trials)</span>
<div className="flex gap-2">
<button
onClick={() => setSortBy('performance')}
className={`px-3 py-1 rounded text-sm ${
sortBy === 'performance'
? 'bg-primary-500 text-white'
: 'bg-dark-500 text-dark-200 hover:bg-dark-400'
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>
2025-11-21 15:58:00 -05:00
}`}
>
Best First
</button>
<button
onClick={() => setSortBy('chronological')}
className={`px-3 py-1 rounded text-sm ${
sortBy === 'chronological'
? 'bg-primary-500 text-white'
: 'bg-dark-500 text-dark-200 hover:bg-dark-400'
}`}
>
Newest First
</button>
</div>
</div>
}
>
<div className="space-y-2 max-h-[600px] overflow-y-auto">
{displayedTrials.length > 0 ? (
displayedTrials.map(trial => {
const isExpanded = expandedTrials.has(trial.trial_number);
const isBest = trial.objective === bestValue;
return (
<div
key={trial.trial_number}
className={`rounded-lg transition-all duration-200 cursor-pointer ${
isBest
? 'bg-green-900 border-l-4 border-green-400'
: 'bg-dark-500 hover:bg-dark-400'
}`}
onClick={() => toggleTrialExpansion(trial.trial_number)}
>
{/* Collapsed View */}
<div className="p-3">
<div className="flex justify-between items-center">
<span className="font-semibold text-primary-400">
Trial #{trial.trial_number}
{isBest && <span className="ml-2 text-xs bg-green-700 text-green-100 px-2 py-1 rounded">BEST</span>}
</span>
<div className="flex items-center gap-3">
<span className={`font-mono text-lg ${
isBest ? 'text-green-400 font-bold' : 'text-dark-100'
}`}>
{trial.objective !== null && trial.objective !== undefined
? trial.objective.toFixed(4)
: 'N/A'}
</span>
<span className="text-dark-400 text-sm">
{isExpanded ? '▼' : '▶'}
</span>
</div>
</div>
{/* Quick Preview - Show ALL metrics */}
{!isExpanded && trial.results && Object.keys(trial.results).length > 0 && (
<div className="text-xs text-primary-300 flex flex-wrap gap-3 mt-2">
{Object.entries(trial.results).slice(0, 6).map(([key, val]) => {
// Format value based on type
const formatValue = (v: unknown): string => {
if (typeof v === 'number') {
// Use fewer decimals for quick preview
return Math.abs(v) < 0.01 ? v.toExponential(2) : v.toFixed(2);
}
if (Array.isArray(v)) return `[${v.length}]`;
return String(v);
};
// Format key: snake_case to Title Case, abbreviate long names
const formatKey = (k: string): string => {
const short = k.replace(/_/g, ' ')
.replace(/rel /g, 'Δ')
.replace(/filtered rms/g, 'fRMS')
.replace(/global rms/g, 'gRMS')
.replace(/ vs /g, '/')
.replace(/mfg /g, '')
.replace(/optician workload/g, 'work');
return short.length > 15 ? short.slice(0, 12) + '...' : short;
};
return (
<span key={key} title={`${key}: ${val}`}>
{formatKey(key)}: {formatValue(val)}
</span>
);
})}
{Object.keys(trial.results).length > 6 && (
<span className="text-dark-400">+{Object.keys(trial.results).length - 6} more</span>
)}
</div>
)}
</div>
{/* Expanded View */}
{isExpanded && (
<div className="px-3 pb-3 space-y-3">
{/* Design Variables */}
{trial.design_variables && Object.keys(trial.design_variables).length > 0 && (
<div className="border-t border-dark-400 pt-3">
<h4 className="text-sm font-semibold text-dark-200 mb-2">Design Variables</h4>
<div className="grid grid-cols-2 gap-2 text-xs">
{Object.entries(trial.design_variables).map(([key, val]) => (
<div key={key} className="flex justify-between bg-dark-600 px-2 py-1 rounded">
<span className="text-dark-300">{key}:</span>
<span className="text-dark-100 font-mono">{val.toFixed(4)}</span>
</div>
))}
</div>
</div>
)}
{/* Results */}
{trial.results && Object.keys(trial.results).length > 0 && (
<div className="border-t border-dark-400 pt-3">
<h4 className="text-sm font-semibold text-dark-200 mb-2">Extracted Results</h4>
<div className="grid grid-cols-2 gap-2 text-xs">
{Object.entries(trial.results).map(([key, val]) => (
<div key={key} className="flex justify-between bg-dark-600 px-2 py-1 rounded">
<span className="text-dark-300">{key}:</span>
<span className="text-primary-300 font-mono">
{typeof val === 'number' ? val.toFixed(4) : String(val)}
</span>
</div>
))}
</div>
</div>
)}
{/* All User Attributes */}
{trial.user_attrs && Object.keys(trial.user_attrs).length > 0 && (
<div className="border-t border-dark-400 pt-3">
<h4 className="text-sm font-semibold text-dark-200 mb-2">All Attributes</h4>
<div className="max-h-48 overflow-y-auto">
<pre className="text-xs text-dark-300 bg-dark-700 p-2 rounded">
{JSON.stringify(trial.user_attrs, null, 2)}
</pre>
</div>
</div>
)}
{/* Timestamps */}
{trial.start_time && trial.end_time && (
<div className="border-t border-dark-400 pt-3 text-xs text-dark-400">
<div className="flex justify-between">
<span>Duration:</span>
<span>
{((new Date(trial.end_time).getTime() - new Date(trial.start_time).getTime()) / 1000).toFixed(1)}s
</span>
</div>
</div>
)}
</div>
)}
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>
2025-11-21 15:58:00 -05:00
</div>
);
})
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>
2025-11-21 15:58:00 -05:00
) : (
<div className="text-center py-8 text-dark-300">
No trials yet. Waiting for optimization to start...
</div>
)}
</div>
</Card>
{/* Console Output - at the bottom */}
<div className="mt-6">
<ConsoleOutput
studyId={selectedStudyId}
refreshInterval={2000}
maxLines={200}
/>
</div>
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>
2025-11-21 15:58:00 -05:00
</main>
{/* Claude Code Terminal - Right Sidebar */}
{chatOpen && (
<aside className="col-span-4 h-[calc(100vh-12rem)] sticky top-24">
<ClaudeTerminal
isExpanded={chatExpanded}
onToggleExpand={() => setChatExpanded(!chatExpanded)}
onClose={() => setChatOpen(false)}
/>
</aside>
)}
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>
2025-11-21 15:58:00 -05:00
</div>
</div>
);
}