8d32db8674
- Création du script generate-team-visualization-data.js pour générer les données JSON
- Page /team.html avec 3 visualisations :
* Graphe réseau (Cytoscape.js) : technologies ↔ membres
* Matrice de congestion : technologies core et disponibilité
* Équipe de genèse MVP : sélection automatique pour MVP 2 mois
- Ajout du lien '👥 Équipe' dans le header du radar
- Données JSON générées pour visualisations interactives
- Identification des congestions et technologies non couvertes
377 lines
12 KiB
JavaScript
Executable File
377 lines
12 KiB
JavaScript
Executable File
#!/usr/bin/env node
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/**
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* Script pour générer les données de visualisation équipe/technologies
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* Génère un fichier JSON pour les visualisations Cytoscape.js et ECharts
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*/
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const fs = require('fs');
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const path = require('path');
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// Extraire une valeur YAML
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function extractYaml(yamlContent, key) {
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const regex = new RegExp(`^${key}:\\s*["']?([^"'\n]+)["']?`, 'm');
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const match = yamlContent.match(regex);
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return match ? match[1].trim() : null;
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}
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// Extraire les compétences depuis le YAML
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function extractSkills(yamlContent) {
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const skills = [];
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const lines = yamlContent.split('\n');
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let inSkillsSection = false;
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for (let i = 0; i < lines.length; i++) {
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const line = lines[i];
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if (line.match(/^skills:\s*$/)) {
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inSkillsSection = true;
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continue;
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}
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if (inSkillsSection && line.match(/^\w+:/) && !line.match(/^\s+/)) {
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inSkillsSection = false;
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continue;
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}
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if (inSkillsSection) {
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const nameMatch = line.match(/^\s+-\s+name:\s*["']?([^"'\n]+)["']?/);
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if (nameMatch) {
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skills.push(nameMatch[1]);
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}
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}
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}
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return skills;
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}
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// Charger les technologies depuis les blips
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function loadTechnologies() {
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const techDir = path.join(__dirname, '../radar-business/2025-01-15');
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const technologies = [];
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if (!fs.existsSync(techDir)) {
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console.warn(`⚠️ Dossier ${techDir} introuvable`);
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return [];
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}
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const files = fs.readdirSync(techDir).filter(f => f.endsWith('.md'));
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for (const file of files) {
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const filePath = path.join(techDir, file);
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const content = fs.readFileSync(filePath, 'utf-8');
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const yamlMatch = content.match(/^---\n([\s\S]*?)\n---/);
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if (!yamlMatch) continue;
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const yaml = yamlMatch[1];
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// Extraire les membres depuis la section "Compétences"
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let members = [];
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const compSection = content.match(/## Compétences\s*\n([\s\S]*?)(?=\n## |$)/);
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if (compSection) {
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const membersMatch = compSection[1].match(/Membres de l'équipe\s*:\s*([^\n]+)/);
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if (membersMatch) {
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members = membersMatch[1].split(',').map(m => m.trim()).filter(m => m && m !== 'Aucun');
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}
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}
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const tech = {
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id: file.replace('.md', ''),
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title: extractYaml(yaml, 'title') || file.replace('.md', ''),
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ring: extractYaml(yaml, 'ring') || 'support',
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quadrant: extractYaml(yaml, 'quadrant') || 'technologies-commodite',
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businessImpact: extractYaml(yaml, 'businessImpact') || 'medium',
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teamCoverage: parseInt(extractYaml(yaml, 'teamCoverage') || '0'),
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skillGap: extractYaml(yaml, 'skillGap') || 'medium',
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competencyLevel: extractYaml(yaml, 'competencyLevel') || 'beginner',
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members: members
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};
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technologies.push(tech);
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}
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return technologies;
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}
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// Charger les membres de l'équipe
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function loadTeamMembers() {
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const teamDir = path.join(__dirname, '../docs/data/team');
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const members = [];
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if (!fs.existsSync(teamDir)) {
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console.warn(`⚠️ Dossier ${teamDir} introuvable`);
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return [];
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}
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const files = fs.readdirSync(teamDir).filter(f => f.endsWith('.md'));
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for (const file of files) {
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const filePath = path.join(teamDir, file);
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const content = fs.readFileSync(filePath, 'utf-8');
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const yamlMatch = content.match(/^---\n([\s\S]*?)\n---/);
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if (!yamlMatch) continue;
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const yaml = yamlMatch[1];
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const member = {
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id: extractYaml(yaml, 'name') || file.replace('.md', ''),
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fullName: extractYaml(yaml, 'fullName') || extractYaml(yaml, 'name'),
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role: extractYaml(yaml, 'role') || '',
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availability: parseInt(extractYaml(yaml, 'availability') || '0'),
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seniorityLevel: extractYaml(yaml, 'seniorityLevel') || 'beginner',
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yearsExperience: parseInt(extractYaml(yaml, 'yearsExperience') || '0'),
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skills: extractSkills(yaml)
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};
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members.push(member);
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}
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return members;
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}
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// Générer les données pour le graphe réseau (Cytoscape.js)
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function generateNetworkData(technologies, members) {
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const nodes = [];
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const edges = [];
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// Nœuds technologies
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technologies.forEach(tech => {
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const ringColor = {
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'core': '#ff4444',
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'strategic': '#ff8800',
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'support': '#4488ff',
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'legacy': '#888888'
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}[tech.ring] || '#999999';
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nodes.push({
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data: {
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id: `tech-${tech.id}`,
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label: tech.title,
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type: 'technology',
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ring: tech.ring,
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quadrant: tech.quadrant,
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coverage: tech.teamCoverage,
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businessImpact: tech.businessImpact,
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skillGap: tech.skillGap,
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color: ringColor
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}
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});
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});
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// Nœuds membres
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members.forEach(member => {
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nodes.push({
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data: {
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id: `member-${member.id}`,
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label: member.fullName || member.id,
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type: 'member',
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availability: member.availability,
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seniority: member.seniorityLevel,
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role: member.role
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}
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});
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});
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// Liens technologies ↔ membres
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technologies.forEach(tech => {
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tech.members.forEach(memberName => {
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const member = members.find(m => {
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const mId = m.id.toLowerCase();
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const mFullName = (m.fullName || '').toLowerCase();
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const memberNameLower = memberName.toLowerCase();
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return mId === memberNameLower || mFullName === memberNameLower;
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});
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if (member) {
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// Vérifier si le membre a vraiment cette compétence
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const hasSkill = member.skills.some(skill => {
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const skillLower = skill.toLowerCase();
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const techTitleLower = tech.title.toLowerCase();
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return skillLower.includes(techTitleLower) ||
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techTitleLower.includes(skillLower) ||
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tech.title.toLowerCase().split(/[\s\/-]/).some(word =>
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skillLower.includes(word) || word.length > 3 && skillLower.includes(word)
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);
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});
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if (hasSkill || tech.members.includes(member.id) || tech.members.includes(member.fullName)) {
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edges.push({
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data: {
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id: `edge-${tech.id}-${member.id}`,
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source: `tech-${tech.id}`,
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target: `member-${member.id}`,
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weight: hasSkill ? 1 : 0.5
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}
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});
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}
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}
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});
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});
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return { nodes, edges };
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}
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// Générer la matrice de congestion
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function generateCongestionMatrix(technologies, members) {
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// Filtrer technologies core uniquement
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const coreTechs = technologies.filter(t => t.ring === 'core').sort((a, b) => {
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// Trier par businessImpact puis par coverage
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const impactOrder = { 'high': 3, 'medium': 2, 'low': 1 };
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const impactDiff = (impactOrder[b.businessImpact] || 0) - (impactOrder[a.businessImpact] || 0);
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if (impactDiff !== 0) return impactDiff;
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return a.teamCoverage - b.teamCoverage; // Moins de couverture = plus critique
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});
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// Filtrer membres avec disponibilité >= 50%
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const availableMembers = members.filter(m => m.availability >= 50)
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.sort((a, b) => b.availability - a.availability);
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const matrix = [];
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coreTechs.forEach(tech => {
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const row = {
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technology: tech.title,
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technologyId: tech.id,
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businessImpact: tech.businessImpact,
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coverage: tech.teamCoverage,
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skillGap: tech.skillGap,
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members: []
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};
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availableMembers.forEach(member => {
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const hasSkill = tech.members.some(m => {
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const mId = m.toLowerCase();
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return mId === member.id.toLowerCase() ||
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mId === (member.fullName || '').toLowerCase();
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});
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row.members.push({
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member: member.id,
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fullName: member.fullName,
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hasSkill: hasSkill,
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availability: member.availability,
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seniority: member.seniorityLevel
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});
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});
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matrix.push(row);
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});
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return matrix;
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}
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// Générer l'équipe de genèse MVP
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function generateGenesisTeam(technologies, members) {
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const coreTechs = technologies.filter(t => t.ring === 'core');
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const availableMembers = members.filter(m => m.availability >= 50);
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const genesisTeam = [];
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const coveredTechs = new Set();
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const memberTechMap = new Map();
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// Pour chaque membre, lister les technos core qu'il maîtrise
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availableMembers.forEach(member => {
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const memberTechs = coreTechs.filter(tech => {
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return tech.members.some(m => {
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const mId = m.toLowerCase();
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return mId === member.id.toLowerCase() ||
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mId === (member.fullName || '').toLowerCase();
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});
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});
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if (memberTechs.length > 0) {
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memberTechMap.set(member.id, {
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member: member,
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technologies: memberTechs,
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coverage: memberTechs.length
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});
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memberTechs.forEach(t => coveredTechs.add(t.id));
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}
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});
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// Sélectionner les membres qui couvrent le plus de technos
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const sortedMembers = Array.from(memberTechMap.entries())
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.sort((a, b) => b[1].coverage - a[1].coverage);
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sortedMembers.forEach(([memberId, data]) => {
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genesisTeam.push({
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member: data.member.id,
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fullName: data.member.fullName,
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role: data.member.role,
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availability: data.member.availability,
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seniority: data.member.seniorityLevel,
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technologies: data.technologies.map(t => ({
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id: t.id,
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title: t.title,
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businessImpact: t.businessImpact
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})),
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coverage: data.coverage
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});
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});
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// Identifier les technos non couvertes
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const uncoveredTechs = coreTechs.filter(t => !coveredTechs.has(t.id));
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return {
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team: genesisTeam,
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totalMembers: genesisTeam.length,
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coveredTechnologies: coveredTechs.size,
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totalCoreTechnologies: coreTechs.length,
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uncoveredTechnologies: uncoveredTechs.map(t => ({
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id: t.id,
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title: t.title,
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businessImpact: t.businessImpact,
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skillGap: t.skillGap,
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teamCoverage: t.teamCoverage
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})),
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totalCapacity: genesisTeam.reduce((sum, m) => sum + m.availability, 0),
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averageAvailability: genesisTeam.length > 0
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? Math.round(genesisTeam.reduce((sum, m) => sum + m.availability, 0) / genesisTeam.length)
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: 0
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};
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}
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// Main
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function main() {
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console.log('📊 Génération des données de visualisation équipe/technologies...\n');
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const technologies = loadTechnologies();
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const members = loadTeamMembers();
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console.log(`✅ ${technologies.length} technologies chargées`);
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console.log(`✅ ${members.length} membres chargés`);
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const data = {
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network: generateNetworkData(technologies, members),
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congestionMatrix: generateCongestionMatrix(technologies, members),
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genesisTeam: generateGenesisTeam(technologies, members),
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technologies: technologies,
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members: members,
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generatedAt: new Date().toISOString()
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};
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const outputPath = path.join(__dirname, '../public/team-visualization-data.json');
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fs.writeFileSync(outputPath, JSON.stringify(data, null, 2), 'utf-8');
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console.log(`\n✅ Données générées: ${outputPath}`);
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console.log(`📊 Graphe réseau: ${data.network.nodes.length} nœuds, ${data.network.edges.length} liens`);
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console.log(`🔥 Matrice congestion: ${data.congestionMatrix.length} technologies core`);
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console.log(`👥 Équipe de genèse: ${data.genesisTeam.totalMembers} membres`);
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console.log(` - Capacité totale: ${data.genesisTeam.totalCapacity}%`);
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console.log(` - Disponibilité moyenne: ${data.genesisTeam.averageAvailability}%`);
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console.log(` - Technologies couvertes: ${data.genesisTeam.coveredTechnologies}/${data.genesisTeam.totalCoreTechnologies}`);
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if (data.genesisTeam.uncoveredTechnologies.length > 0) {
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console.log(`⚠️ Technologies non couvertes: ${data.genesisTeam.uncoveredTechnologies.length}`);
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data.genesisTeam.uncoveredTechnologies.forEach(t => {
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console.log(` - ${t.title} (${t.businessImpact} impact, ${t.skillGap} gap)`);
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});
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}
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}
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if (require.main === module) {
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main();
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}
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module.exports = { loadTechnologies, loadTeamMembers, generateNetworkData, generateCongestionMatrix, generateGenesisTeam };
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