#!/usr/bin/env node

/**
 * Script pour générer les données de visualisation équipe/technologies
 * Génère un fichier JSON pour les visualisations Cytoscape.js et ECharts
 */

const fs = require('fs');
const path = require('path');

// Extraire une valeur YAML
function extractYaml(yamlContent, key) {
  const regex = new RegExp(`^${key}:\\s*["']?([^"'\n]+)["']?`, 'm');
  const match = yamlContent.match(regex);
  return match ? match[1].trim() : null;
}

// Extraire les compétences depuis le YAML (avec details)
function extractSkills(yamlContent) {
  const skills = [];
  const lines = yamlContent.split('\n');
  let inSkillsSection = false;
  let currentSkill = null;
  
  for (let i = 0; i < lines.length; i++) {
    const line = lines[i];
    
    if (line.match(/^skills:\s*$/)) {
      inSkillsSection = true;
      continue;
    }
    
    if (inSkillsSection && line.match(/^\w+:/) && !line.match(/^\s+/)) {
      if (currentSkill) skills.push(currentSkill);
      inSkillsSection = false;
      continue;
    }
    
    if (inSkillsSection) {
      const nameMatch = line.match(/^\s+-\s+name:\s*["']?([^"'\n]+)["']?/);
      if (nameMatch) {
        if (currentSkill) skills.push(currentSkill);
        currentSkill = { name: nameMatch[1], level: 'beginner', years: 0 };
      }
      const levelMatch = line.match(/^\s+level:\s*["']?([^"'\n]+)["']?/);
      if (levelMatch && currentSkill) currentSkill.level = levelMatch[1];
      const yearsMatch = line.match(/^\s+years:\s*(\d+)/);
      if (yearsMatch && currentSkill) currentSkill.years = parseInt(yearsMatch[1]);
    }
  }
  if (currentSkill) skills.push(currentSkill);
  
  return skills;
}

// Extraire une liste YAML simple (ex: interests, softSkills, projects)
function extractYamlList(yamlContent, key) {
  const items = [];
  const lines = yamlContent.split('\n');
  let inSection = false;
  
  for (let i = 0; i < lines.length; i++) {
    const line = lines[i];
    
    // Debut de section
    if (line.match(new RegExp(`^${key}:\\s*$`))) {
      inSection = true;
      continue;
    }
    
    // Fin de section (nouvelle cle au niveau racine)
    if (inSection && line.match(/^\w+:/) && !line.match(/^\s+/)) {
      inSection = false;
      continue;
    }
    
    // Extraction des items
    if (inSection) {
      const itemMatch = line.match(/^\s+-\s*["']?([^"'\n]+)["']?/);
      if (itemMatch) {
        items.push(itemMatch[1].trim());
      }
    }
  }
  
  return items;
}

// Extraire la bio (contenu apres le front matter YAML)
function extractBio(content) {
  const parts = content.split(/^---\n[\s\S]*?\n---/m);
  if (parts.length > 1) {
    return parts[1].trim().replace(/\n/g, ' ').substring(0, 500);
  }
  return '';
}

// Charger les technologies depuis les blips
function loadTechnologies() {
  const techDir = path.join(__dirname, '../radar-business/2025-01-15');
  const technologies = [];
  
  if (!fs.existsSync(techDir)) {
    console.warn(`⚠️  Dossier ${techDir} introuvable`);
    return [];
  }
  
  const files = fs.readdirSync(techDir).filter(f => f.endsWith('.md'));
  
  for (const file of files) {
    const filePath = path.join(techDir, file);
    const content = fs.readFileSync(filePath, 'utf-8');
    const yamlMatch = content.match(/^---\n([\s\S]*?)\n---/);
    if (!yamlMatch) continue;
    
    const yaml = yamlMatch[1];
    
    // Extraire les membres depuis la section "Compétences"
    let members = [];
    const compSection = content.match(/## Compétences\s*\n([\s\S]*?)(?=\n## |$)/);
    if (compSection) {
      const membersMatch = compSection[1].match(/Membres de l'équipe\s*:\s*([^\n]+)/);
      if (membersMatch) {
        members = membersMatch[1].split(',').map(m => m.trim()).filter(m => m && m !== 'Aucun');
      }
    }
    
    const tech = {
      id: file.replace('.md', ''),
      title: extractYaml(yaml, 'title') || file.replace('.md', ''),
      ring: extractYaml(yaml, 'ring') || 'support',
      quadrant: extractYaml(yaml, 'quadrant') || 'technologies-commodite',
      businessImpact: extractYaml(yaml, 'businessImpact') || 'medium',
      teamCoverage: parseInt(extractYaml(yaml, 'teamCoverage') || '0'),
      skillGap: extractYaml(yaml, 'skillGap') || 'medium',
      competencyLevel: extractYaml(yaml, 'competencyLevel') || 'beginner',
      members: members
    };
    
    technologies.push(tech);
  }
  
  return technologies;
}

// Charger les membres de l'équipe (avec profils complets)
function loadTeamMembers() {
  const teamDir = path.join(__dirname, '../data/team');
  const members = [];
  
  if (!fs.existsSync(teamDir)) {
    console.warn(`⚠️  Dossier ${teamDir} introuvable`);
    return [];
  }
  
  const files = fs.readdirSync(teamDir).filter(f => f.endsWith('.md'));
  
  for (const file of files) {
    const filePath = path.join(teamDir, file);
    const content = fs.readFileSync(filePath, 'utf-8');
    const yamlMatch = content.match(/^---\n([\s\S]*?)\n---/);
    if (!yamlMatch) continue;
    
    const yaml = yamlMatch[1];
    const skillsData = extractSkills(yaml);
    
    const member = {
      id: extractYaml(yaml, 'name') || file.replace('.md', ''),
      fullName: extractYaml(yaml, 'fullName') || extractYaml(yaml, 'name'),
      role: extractYaml(yaml, 'role') || '',
      availability: parseInt(extractYaml(yaml, 'availability') || '0'),
      seniorityLevel: extractYaml(yaml, 'seniorityLevel') || 'beginner',
      yearsExperience: parseInt(extractYaml(yaml, 'yearsExperience') || '0'),
      joinDate: extractYaml(yaml, 'joinDate') || '',
      skills: skillsData.map(s => typeof s === 'string' ? s : s.name),
      skillsDetailed: skillsData,
      interests: extractYamlList(yaml, 'interests'),
      softSkills: extractYamlList(yaml, 'softSkills'),
      projects: extractYamlList(yaml, 'projects'),
      bio: extractBio(content)
    };
    
    members.push(member);
  }
  
  return members;
}

// Générer les données pour le graphe réseau (Cytoscape.js)
function generateNetworkData(technologies, members) {
  const nodes = [];
  const edges = [];
  
  // Nœuds technologies
  technologies.forEach(tech => {
    const ringColor = {
      'core': '#ff4444',
      'strategic': '#ff8800',
      'support': '#4488ff',
      'legacy': '#888888'
    }[tech.ring] || '#999999';
    
    nodes.push({
      data: {
        id: `tech-${tech.id}`,
        label: tech.title,
        type: 'technology',
        ring: tech.ring,
        quadrant: tech.quadrant,
        coverage: tech.teamCoverage,
        businessImpact: tech.businessImpact,
        skillGap: tech.skillGap,
        color: ringColor
      }
    });
  });
  
  // Nœuds membres
  members.forEach(member => {
    nodes.push({
      data: {
        id: `member-${member.id}`,
        label: member.fullName || member.id,
        type: 'member',
        availability: member.availability,
        seniority: member.seniorityLevel,
        role: member.role
      }
    });
  });
  
  // Liens technologies ↔ membres
  technologies.forEach(tech => {
    tech.members.forEach(memberName => {
      const member = members.find(m => {
        const mId = m.id.toLowerCase();
        const mFullName = (m.fullName || '').toLowerCase();
        const memberNameLower = memberName.toLowerCase();
        return mId === memberNameLower || mFullName === memberNameLower;
      });
      
      if (member) {
        // Vérifier si le membre a vraiment cette compétence
        const hasSkill = member.skills.some(skill => {
          const skillLower = skill.toLowerCase();
          const techTitleLower = tech.title.toLowerCase();
          return skillLower.includes(techTitleLower) || 
                 techTitleLower.includes(skillLower) ||
                 tech.title.toLowerCase().split(/[\s\/-]/).some(word => 
                   skillLower.includes(word) || word.length > 3 && skillLower.includes(word)
                 );
        });
        
        if (hasSkill || tech.members.includes(member.id) || tech.members.includes(member.fullName)) {
          edges.push({
            data: {
              id: `edge-${tech.id}-${member.id}`,
              source: `tech-${tech.id}`,
              target: `member-${member.id}`,
              weight: hasSkill ? 1 : 0.5
            }
          });
        }
      }
    });
  });
  
  return { nodes, edges };
}

// Générer la matrice de congestion
function generateCongestionMatrix(technologies, members) {
  // Filtrer technologies adopt uniquement (anciennement "core")
  const coreTechs = technologies.filter(t => t.ring === 'adopt').sort((a, b) => {
    // Trier par businessImpact puis par coverage
    const impactOrder = { 'high': 3, 'medium': 2, 'low': 1 };
    const impactDiff = (impactOrder[b.businessImpact] || 0) - (impactOrder[a.businessImpact] || 0);
    if (impactDiff !== 0) return impactDiff;
    return a.teamCoverage - b.teamCoverage; // Moins de couverture = plus critique
  });
  
  // Filtrer membres avec disponibilité >= 50%
  const availableMembers = members.filter(m => m.availability >= 50)
    .sort((a, b) => b.availability - a.availability);
  
  const matrix = [];
  
  coreTechs.forEach(tech => {
    const row = {
      technology: tech.title,
      technologyId: tech.id,
      businessImpact: tech.businessImpact,
      coverage: tech.teamCoverage,
      skillGap: tech.skillGap,
      members: []
    };
    
    availableMembers.forEach(member => {
      const hasSkill = tech.members.some(m => {
        const mId = m.toLowerCase();
        return mId === member.id.toLowerCase() || 
               mId === (member.fullName || '').toLowerCase();
      });
      
      row.members.push({
        member: member.id,
        fullName: member.fullName,
        hasSkill: hasSkill,
        availability: member.availability,
        seniority: member.seniorityLevel
      });
    });
    
    matrix.push(row);
  });
  
  return matrix;
}

// Générer l'équipe de genèse MVP
function generateGenesisTeam(technologies, members) {
  // Technologies adopt (anciennement "core") - technologies fondamentales en production
  const coreTechs = technologies.filter(t => t.ring === 'adopt');
  const availableMembers = members.filter(m => m.availability >= 50);
  
  const genesisTeam = [];
  const coveredTechs = new Set();
  const memberTechMap = new Map();
  
  // Pour chaque membre, lister les technos core qu'il maîtrise
  availableMembers.forEach(member => {
    const memberTechs = coreTechs.filter(tech => {
      return tech.members.some(m => {
        const mId = m.toLowerCase();
        return mId === member.id.toLowerCase() || 
               mId === (member.fullName || '').toLowerCase();
      });
    });
    
    if (memberTechs.length > 0) {
      memberTechMap.set(member.id, {
        member: member,
        technologies: memberTechs,
        coverage: memberTechs.length
      });
      
      memberTechs.forEach(t => coveredTechs.add(t.id));
    }
  });
  
  // Sélectionner les membres qui couvrent le plus de technos
  const sortedMembers = Array.from(memberTechMap.entries())
    .sort((a, b) => b[1].coverage - a[1].coverage);
  
  sortedMembers.forEach(([memberId, data]) => {
    genesisTeam.push({
      member: data.member.id,
      fullName: data.member.fullName,
      role: data.member.role,
      availability: data.member.availability,
      seniority: data.member.seniorityLevel,
      technologies: data.technologies.map(t => ({
        id: t.id,
        title: t.title,
        businessImpact: t.businessImpact
      })),
      coverage: data.coverage
    });
  });
  
  // Identifier les technos non couvertes
  const uncoveredTechs = coreTechs.filter(t => !coveredTechs.has(t.id));
  
  return {
    team: genesisTeam,
    totalMembers: genesisTeam.length,
    coveredTechnologies: coveredTechs.size,
    totalCoreTechnologies: coreTechs.length,
    uncoveredTechnologies: uncoveredTechs.map(t => ({
      id: t.id,
      title: t.title,
      businessImpact: t.businessImpact,
      skillGap: t.skillGap,
      teamCoverage: t.teamCoverage
    })),
    totalCapacity: genesisTeam.reduce((sum, m) => sum + m.availability, 0),
    averageAvailability: genesisTeam.length > 0 
      ? Math.round(genesisTeam.reduce((sum, m) => sum + m.availability, 0) / genesisTeam.length)
      : 0
  };
}

// Main
function main() {
  console.log('📊 Génération des données de visualisation équipe/technologies...\n');
  
  const technologies = loadTechnologies();
  const members = loadTeamMembers();
  
  console.log(`✅ ${technologies.length} technologies chargées`);
  console.log(`✅ ${members.length} membres chargés`);
  
  // Creer un index des profils membres pour acces rapide
  const memberProfiles = {};
  members.forEach(m => {
    memberProfiles[m.id] = {
      id: m.id,
      fullName: m.fullName,
      role: m.role,
      availability: m.availability,
      seniorityLevel: m.seniorityLevel,
      yearsExperience: m.yearsExperience,
      joinDate: m.joinDate,
      skillsDetailed: m.skillsDetailed,
      interests: m.interests,
      softSkills: m.softSkills,
      projects: m.projects,
      bio: m.bio
    };
  });

  const data = {
    network: generateNetworkData(technologies, members),
    congestionMatrix: generateCongestionMatrix(technologies, members),
    genesisTeam: generateGenesisTeam(technologies, members),
    memberProfiles: memberProfiles,
    technologies: technologies,
    members: members,
    generatedAt: new Date().toISOString()
  };
  
  const outputPath = path.join(__dirname, '../public/team-visualization-data.json');
  fs.writeFileSync(outputPath, JSON.stringify(data, null, 2), 'utf-8');
  
  console.log(`\n✅ Données générées: ${outputPath}`);
  console.log(`📊 Graphe réseau: ${data.network.nodes.length} nœuds, ${data.network.edges.length} liens`);
  console.log(`🔥 Matrice congestion: ${data.congestionMatrix.length} technologies core`);
  console.log(`👥 Équipe de genèse: ${data.genesisTeam.totalMembers} membres`);
  console.log(`   - Capacité totale: ${data.genesisTeam.totalCapacity}%`);
  console.log(`   - Disponibilité moyenne: ${data.genesisTeam.averageAvailability}%`);
  console.log(`   - Technologies couvertes: ${data.genesisTeam.coveredTechnologies}/${data.genesisTeam.totalCoreTechnologies}`);
  if (data.genesisTeam.uncoveredTechnologies.length > 0) {
    console.log(`⚠️  Technologies non couvertes: ${data.genesisTeam.uncoveredTechnologies.length}`);
    data.genesisTeam.uncoveredTechnologies.forEach(t => {
      console.log(`   - ${t.title} (${t.businessImpact} impact, ${t.skillGap} gap)`);
    });
  }
}

if (require.main === module) {
  main();
}

module.exports = { loadTechnologies, loadTeamMembers, generateNetworkData, generateCongestionMatrix, generateGenesisTeam };