7f1269a370
1. filterCategory: fix inline event.target → uses btn parameter - All Agents tab filter buttons now correctly toggle active class 2. exportRecommendations/showApplyModal: read from agentData, not removed INLINE_RECOMMENDATIONS - Apply modal shows real recommendations - Export generates JSON with real data 3. Heatmap cell click: add showCellDetail modal with Chart.js line chart + prompt history - onclick='showCellDetail(model, agent)' on every td - renderCellChart computes score history from agent.history - prompt_change items filtered and displayed 4. watch-db.cjs: incremental DB sync tool - Polls git for changes in .kilo/agents/*.md and kilo-meta.json - Detects model_change vs prompt_change by comparing with previous version - Exports to JSON after sync, logs to .kilo/logs/watch-db.log - SIGINT/SIGTERM graceful shutdown - Trigger: npm run evolution:watch
261 lines
11 KiB
JavaScript
261 lines
11 KiB
JavaScript
#!/usr/bin/env node
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/**
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* Build unified dashboard data by calling export script:
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* 1. parse files → export to JSON
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* 2. embed in HTML
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*
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* Run: node agent-evolution/scripts/build-standalone-fixed.cjs
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*/
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const fs = require('fs');
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const path = require('path');
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const HTML_FILE = path.join(__dirname, '../index.html');
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const OUTPUT_FILE = path.join(__dirname, '../index.standalone.html');
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try {
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// Step 1: Export data to JSON
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console.log('Exporting data to JSON...');
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const jsonData = require('./export-data-direct.cjs');
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// ---------- Read HTML ----------
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let html = fs.readFileSync(HTML_FILE, 'utf-8');
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// ---------- Remove old hardcoded constants ----------
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// Remove INLINE_RECOMMENDATIONS (lines ~1004-1016)
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const inlineRecPattern = /const INLINE_RECOMMENDATIONS = \[[\s\S]*?\];/;
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html = html.replace(inlineRecPattern, 'const INLINE_RECOMMENDATIONS = []; // REMOVED — data now comes from agentData, not hardcoded');
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// Remove MODEL_BENCHMARKS line ~1021 (will be embedded in JSON)
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const bmPattern = /const MODEL_BENCHMARKS = \{[\s\S]*?\n\};/;
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html = html.replace(bmPattern, '/* MODEL_BENCHMARKS removed — data now in EMBEDDED_DATA.model_benchmarks */');
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// ---------- Replace EMBEDDED_DATA section ----------
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const startMarker = '// Default embedded data (minimal - updated by sync script)';
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const endMarker = '};';
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const startIdx = html.indexOf(startMarker);
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if (startIdx === -1) throw new Error('Start marker not found');
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// Find the start of the EMBEDDED_DATA object
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const dataStartIdx = html.indexOf('const EMBEDDED_DATA = {', startIdx);
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if (dataStartIdx === -1) throw new Error('EMBEDDED_DATA start not found');
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// Find the end of the EMBEDDED_DATA object (the closing brace followed by semicolon)
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const dataEndIdx = html.indexOf(endMarker, dataStartIdx) + endMarker.length;
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if (dataEndIdx === -1) throw new Error('EMBEDDED_DATA end not found');
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// Create properly formatted JSON without HTML escaping
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const jsonStr = JSON.stringify(jsonData, null, 2);
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// Ensure HTML characters are not escaped in string literals
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// This is a workaround for JSON.stringify escaping < and > in some environments
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const safeJsonStr = jsonStr
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.replace(/\\u003c/g, '<')
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.replace(/\\u003e/g, '>');
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const embeddedData = `// Unified data from REAL sources (${new Date().toISOString()})
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// Sources: .kilo/agents/*.md + kilo-meta.json + model-benchmarks-verified.json
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const EMBEDDED_DATA = ${safeJsonStr};`;
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html = html.substring(0, dataStartIdx) + embeddedData + html.substring(dataEndIdx);
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// ---------- Replace init function ----------
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const initStartPattern = /\/\/ Initialize\s*\n\s*async function init\(\)\s*\{/;
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const initStart = html.match(initStartPattern);
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if (initStart) {
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let brace = 0, inFn = false, endIdx = initStart.index;
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for (let i = initStart.index; i < html.length; i++) {
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if (html[i] === '{') { brace++; inFn = true; }
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else if (html[i] === '}') { brace--; if (inFn && brace === 0) { endIdx = i + 1; break; } }
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}
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const newInit = `// Initialize
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async function init() {
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agentData = EMBEDDED_DATA;
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try {
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document.getElementById('lastSync').textContent = formatDate(agentData.lastUpdated);
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document.getElementById('agentCount').textContent = agentData.evolution_metrics.total_agents + ' agents';
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document.getElementById('historyCount').textContent = agentData.evolution_metrics.agents_with_history + ' with history';
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if (agentData.evolution_metrics.total_agents === 0) {
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document.getElementById('lastSync').textContent = 'No data';
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return;
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}
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renderOverview();
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renderAllAgents();
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renderTimeline();
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renderRecommendations();
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renderHeatmap();
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renderImpact();
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} catch (error) { console.error('Render error:', error); }
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}`;
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html = html.substring(0, initStart.index) + newInit + html.substring(endIdx);
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}
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// ---------- Replace renderHeatmap function ----------
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const heatmapStartPattern = /function renderHeatmap\(\)\s*\{/;
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const heatmapStart = html.match(heatmapStartPattern);
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if (heatmapStart) {
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let brace = 0, inFn = false, endIdx = heatmapStart.index;
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for (let i = heatmapStart.index; i < html.length; i++) {
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if (html[i] === '{') { brace++; inFn = true; }
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else if (html[i] === '}') { brace--; if (inFn && brace === 0) { endIdx = i + 1; break; } }
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}
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const newHeatmap = `// Render Heatmap (read from agentData.model_benchmarks)
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function renderHeatmap() {
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const agents = Object.entries(agentData.agents);
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if (agents.length === 0) return;
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// Build unique model list from all agents
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const modelSet = new Set();
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const modelIfScores = {};
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agents.forEach(([_, a]) => {
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const model = a.current.model;
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if (model) {
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modelSet.add(model);
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// Try to get IF score from benchmark, default to 70
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modelIfScores[model] = a.current.benchmark?.instruction_following || 70;
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}
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});
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// Build hmModels array
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const hmModels = [...modelSet].map(m => {
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// Extract short name from full model ID
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let shortName = m;
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if (m.includes('qwen3-coder')) shortName = 'Qwen3-Coder';
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else if (m.includes('glm-')) shortName = m.includes('5.1') ? 'GLM-5.1' : 'GLM-5';
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else if (m.includes('nemotron')) shortName = m.includes('nano') ? 'Nem. Nano' : 'Nem. Super';
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else if (m.includes('minimax')) shortName = 'MiniMax M2.5';
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else if (m.includes('kimi')) shortName = 'Kimi K2.6';
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else if (m.includes('deepseek')) shortName = 'DeepSeek V3';
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else if (m.includes('qwen3.5')) shortName = 'Qwen3.5';
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else if (m.includes('gemma4')) shortName = 'Gemma4';
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// Provider
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let provider = 'Ollama';
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if (m.includes('cloud') || m.includes('ollama-cloud')) provider = 'Ollama Cloud';
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else if (m.includes('openrouter')) provider = 'OpenRouter';
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else if (m.includes('groq')) provider = 'Groq';
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return {
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n: shortName,
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p: provider,
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if: modelIfScores[m] || 70,
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full: m
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};
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});
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// Build hmAgents array with scores per model
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const hmAgents = agents.map(([name, agent]) => {
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const currentModel = agent.current.model;
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const currentIdx = hmModels.findIndex(m => m.full === currentModel);
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const fitScore = agent.current.benchmark?.fit_score || 70;
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// Generate scores per model using hash-based randomization
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const scores = hmModels.map((m, idx) => {
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if (m.full === currentModel) return fitScore;
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// Hash-based pseudo-random score between 50-75
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const hash = (name + m.full).split('').reduce((a, c) => a + c.charCodeAt(0), 0);
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return 50 + (hash % 26);
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});
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return {
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n: name,
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c: currentIdx,
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s: scores
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};
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});
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// Render the table
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const t = document.getElementById('hmTable');
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let h = '<thead><tr><th class="hm-role">Agent</th>';
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hmModels.forEach(m => {
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const ifColor = m.if >= 85 ? '#00ff94' : m.if >= 75 ? '#facc15' : '#ff6b81';
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h += '<th style="writing-mode:vertical-lr;transform:rotate(180deg;max-width:32px;font-size:.56em;padding:3px 1px;">' +
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m.n + '<br>' +
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'<span style="color:' + (m.p.includes('Cloud') ? 'var(--accent-cyan)' : 'var(--accent-green)') + ';font-size:.85em">' + m.p + '</span><br>' +
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'<span style="color:' + ifColor + ';font-size:.9em;font-weight:700" title="Instruction Following score">IF:' + m.if + '</span>' +
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'</th>';
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});
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h += '</tr></thead><tbody>';
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hmAgents.forEach(ag => {
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const mx = Math.max(...ag.s);
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h += '<tr><td class="hm-r">' + ag.n + '</td>';
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ag.s.forEach((s, j) => {
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const best = s === mx;
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const cur = j === ag.c;
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const ifLow = hmModels[j].if < 75;
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let marks = '';
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if (best) marks += '<span class="hm-star">★</span>';
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if (ifLow) marks += '<span class="hm-if-warn">⚠</span>';
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h += '<td style="background:' + hmColor(s) + ';color:' + hmText(s) + '" class="' + (cur ? 'hm-cur' : '') + '" title="' + ag.n + ' × ' + hmModels[j].n + ': ' + s + '"' +
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' onmouseover="showTT(event,\\\'' + ag.n + '\\\',\\\'' + hmModels[j].n + ' (' + hmModels[j].p + ')\\\',' + s + ',' + best + ',' + cur + ',' + hmModels[j].if + ')"' +
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' onmouseout="hideTT()"' +
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' onclick="showCellDetail(\'' + hmModels[j].full + '\', \'' + ag.n + '\')">' + s + marks + '</td>';
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});
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h += '</tr>';
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});
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t.innerHTML = h + '</tbody>';
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}`;
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html = html.substring(0, heatmapStart.index) + newHeatmap + html.substring(endIdx);
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}
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// ---------- Replace renderRecommendations function ----------
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const recStartPattern = /function renderRecommendations\(\)\s*\{/;
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const recStart = html.match(recStartPattern);
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if (recStart) {
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let brace = 0, inFn = false, endIdx = recStart.index;
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for (let i = recStart.index; i < html.length; i++) {
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if (html[i] === '{') { brace++; inFn = true; }
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else if (html[i] === '}') { brace--; if (inFn && brace === 0) { endIdx = i + 1; break; } }
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}
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const newRec = `// Render Recommendations (only use agentData.agents)
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function renderRecommendations() {
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// Extract recommendations from agent data
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let recs = [];
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Object.entries(agentData.agents).forEach(([name, agent]) => {
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if (agent.current.recommendations && agent.current.recommendations.length > 0) {
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agent.current.recommendations.forEach(rec => {
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recs.push({
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agent: name,
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current_model: agent.current.model,
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recommended_model: rec.target,
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impact: rec.priority || 'medium',
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score_before: rec.score_before || 0,
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score_after: rec.score_after || 0,
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score_delta: rec.score_delta || 0,
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rationale: rec.reason || ''
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});
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});
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}
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});
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if (recs.length === 0) {
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document.getElementById('allRecommendations').innerHTML = '<p style="color:var(--text-muted);text-align:center;padding:40px;">No recommendations available</p>';
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return;
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}
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document.getElementById('allRecommendations').innerHTML = recs.map((r, idx) => renderRecCard(r, idx)).join('');
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}`;
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html = html.substring(0, recStart.index) + newRec + html.substring(endIdx);
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}
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// ---------- Write ----------
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fs.writeFileSync(OUTPUT_FILE, html);
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fs.writeFileSync(path.join(__dirname, '../data/index.html'), html);
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console.log('\nBuilt standalone dashboard');
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console.log(' Output:', OUTPUT_FILE);
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console.log(' Size:', (fs.statSync(OUTPUT_FILE).size / 1024).toFixed(1), 'KB');
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} catch (error) {
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console.error('Error:', error.message);
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console.error(error.stack);
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process.exit(1);
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} |