/**
 * QUIXZOOM Cloud Vision Bootstrap
 * 
 * Fas 1: Använd Cloud Vision för att:
 * - Automatiskt föreslå annotationer
 * - Bygga första gold dataset
 * - Validera UIOS-pipelinen
 * - Testa Mission Planner och UKG med riktiga detektioner
 */

const vision = require('@google-cloud/vision');

class CloudVisionBootstrap {
  constructor(apiKey) {
    this.client = new vision.ImageAnnotatorClient({
      keyFilename: apiKey || process.env.GOOGLE_APPLICATION_CREDENTIALS
    });
    
    // Infrastructure Vocabulary (300-500 objekt)
    this.vocabulary = {
      lighting: [
        'street lamp', 'decorative lamp', 'flood light', 'bollard light',
        'traffic light', 'pedestrian signal'
      ],
      road: [
        'asphalt', 'pothole', 'crack', 'speed bump', 'crosswalk',
        'sidewalk', 'curb', 'manhole cover', 'drain', 'grate'
      ],
      utility: [
        'electrical cabinet', 'telecom cabinet', 'water valve',
        'fire hydrant', 'utility pole', 'transformer box'
      ],
      traffic: [
        'stop sign', 'yield sign', 'parking sign', 'speed sign',
        'direction sign', 'warning sign', 'traffic cone', 'barrier'
      ],
      vegetation: [
        'tree', 'bush', 'hedge', 'grass', 'flower bed', 'planter'
      ],
      furniture: [
        'bench', 'trash can', 'bike rack', 'bollard', 'fence',
        'guard rail', 'handrail'
      ],
      buildings: [
        'building facade', 'window', 'door', 'roof', 'chimney',
        'awning', 'shutter'
      ]
    };
    
    // Mappning från Cloud Vision etiketter till vårt vokabulär
    this.labelMapping = {
      'street light': 'street lamp',
      'traffic signal': 'traffic light',
      'manhole cover': 'manhole cover',
      'fire hydrant': 'fire hydrant',
      'bench': 'bench',
      'tree': 'tree',
      'sign': 'direction sign',
      'stop sign': 'stop sign',
      'speed limit sign': 'speed sign'
    };
  }

  /**
   * ============================================================
   * HUVUDMETOD: Detektera infrastruktur i bild
   * ============================================================
   */

  async detectInfrastructure(imagePath) {
    console.log(`[Cloud Vision] Analyserar: ${imagePath}`);
    
    try {
      // Kör flera detektioner parallellt
      const [labelResult, objectResult, textResult] = await Promise.all([
        this.client.labelDetection(imagePath),
        this.client.objectLocalization(imagePath),
        this.client.textDetection(imagePath)
      ]);
      
      const labels = labelResult.labelAnnotations || [];
      const objects = objectResult.localizedObjectAnnotations || [];
      const texts = textResult.textAnnotations || [];
      
      // Kombinera och filtrera
      const detections = this.combineDetections(labels, objects, texts);
      
      // Mappa till vårt vokabulär
      const mapped = this.mapToVocabulary(detections);
      
      return {
        success: true,
        image: imagePath,
        detections: mapped,
        raw: {
          labels: labels.slice(0, 10),
          objects: objects.slice(0, 10),
          texts: texts.slice(0, 5)
        },
        stats: {
          total: mapped.length,
          byCategory: this.categorize(mapped)
        }
      };
      
    } catch (error) {
      console.error(`[Cloud Vision] Fel: ${error.message}`);
      return {
        success: false,
        error: error.message
      };
    }
  }

  combineDetections(labels, objects, texts) {
    const detections = [];
    
    // Från object localization (bounding boxes)
    for (const obj of objects) {
      detections.push({
        type: 'object',
        label: obj.name,
        confidence: obj.score,
        bbox: obj.boundingPoly ? this.normalizeBbox(obj.boundingPoly.normalizedVertices) : null
      });
    }
    
    // Från labels (helbild)
    for (const label of labels) {
      if (label.score > 0.7) { // Bara höga confidence
        detections.push({
          type: 'label',
          label: label.description,
          confidence: label.score,
          bbox: null // Labels har ingen bbox
        });
      }
    }
    
    // Från text (OCR)
    for (const text of texts.slice(1)) { // Skippar första (hela texten)
      detections.push({
        type: 'text',
        label: text.description,
        confidence: 0.9, // OCR är vanligtvis säker
        bbox: text.boundingPoly ? this.normalizeBbox(text.boundingPoly.vertices) : null
      });
    }
    
    return detections;
  }

  normalizeBbox(vertices) {
    if (!vertices || vertices.length < 4) return null;
    
    const xs = vertices.map(v => v.x || 0);
    const ys = vertices.map(v => v.y || 0);
    
    return {
      x: Math.min(...xs),
      y: Math.min(...ys),
      width: Math.max(...xs) - Math.min(...xs),
      height: Math.max(...ys) - Math.min(...ys)
    };
  }

  mapToVocabulary(detections) {
    const mapped = [];
    
    for (const det of detections) {
      const normalizedLabel = det.label.toLowerCase().trim();
      
      // Kolla direkt mappning
      if (this.labelMapping[normalizedLabel]) {
        mapped.push({
          ...det,
          quixzoomLabel: this.labelMapping[normalizedLabel],
          category: this.findCategory(this.labelMapping[normalizedLabel])
        });
        continue;
      }
      
      // Kolla om label innehåller något från vokabuläret
      for (const [category, items] of Object.entries(this.vocabulary)) {
        for (const item of items) {
          if (normalizedLabel.includes(item.toLowerCase()) || 
              item.toLowerCase().includes(normalizedLabel)) {
            mapped.push({
              ...det,
              quixzoomLabel: item,
              category
            });
            break;
          }
        }
      }
    }
    
    return mapped;
  }

  findCategory(label) {
    for (const [category, items] of Object.entries(this.vocabulary)) {
      if (items.includes(label)) return category;
    }
    return 'other';
  }

  categorize(detections) {
    const counts = {};
    for (const det of detections) {
      const cat = det.category || 'other';
      counts[cat] = (counts[cat] || 0) + 1;
    }
    return counts;
  }

  /**
   * ============================================================
   * GOLD DATASET BUILDER
   * ============================================================
   */

  async buildGoldDataset(imagePaths, options = {}) {
    console.log(`[Gold Dataset] Bygger dataset från ${imagePaths.length} bilder`);
    
    const dataset = {
      images: [],
      annotations: [],
      categories: Object.keys(this.vocabulary),
      stats: {
        totalImages: 0,
        totalAnnotations: 0,
        byCategory: {}
      }
    };
    
    for (let i = 0; i < imagePaths.length; i++) {
      const path = imagePaths[i];
      console.log(`[Gold Dataset] ${i + 1}/${imagePaths.length}: ${path}`);
      
      const result = await this.detectInfrastructure(path);
      
      if (result.success) {
        dataset.images.push({
          id: i,
          file_name: path,
          width: 1280, // Antaget
          height: 720
        });
        
        for (const det of result.detections) {
          if (det.bbox) { // Bara detektioner med bbox
            dataset.annotations.push({
              id: dataset.annotations.length,
              image_id: i,
              category: det.category,
              label: det.quixzoomLabel,
              bbox: [det.bbox.x, det.bbox.y, det.bbox.width, det.bbox.height],
              confidence: det.confidence,
              source: 'cloud_vision_bootstrap'
            });
          }
        }
      }
    }
    
    // Uppdatera stats
    dataset.stats.totalImages = dataset.images.length;
    dataset.stats.totalAnnotations = dataset.annotations.length;
    dataset.stats.byCategory = this.categorize(dataset.annotations);
    
    return dataset;
  }

  /**
   * ============================================================
   * EXPORT FÖR TRÄNING
   * ============================================================
   */

  exportForYOLO(dataset, outputDir) {
    const fs = require('fs');
    const path = require('path');
    
    // Skapa katalogstruktur
    const dirs = ['images/train', 'images/val', 'labels/train', 'labels/val'];
    for (const dir of dirs) {
      fs.mkdirSync(path.join(outputDir, dir), { recursive: true });
    }
    
    // Skapa data.yaml
    const yaml = `
path: ${outputDir}
train: images/train
val: images/val

nc: ${Object.keys(this.vocabulary).length}
names: ${JSON.stringify(Object.keys(this.vocabulary))}
`;
    fs.writeFileSync(path.join(outputDir, 'data.yaml'), yaml);
    
    // Exportera annotationer
    for (const ann of dataset.annotations) {
      const labelFile = path.join(
        outputDir, 
        'labels/train',
        `${ann.image_id}.txt`
      );
      
      // YOLO format: class x_center y_center width height (normalized)
      const line = `${Object.keys(this.vocabulary).indexOf(ann.category)} ${
        ann.bbox[0] + ann.bbox[2] / 2} ${
        ann.bbox[1] + ann.bbox[3] / 2} ${
        ann.bbox[2]} ${
        ann.bbox[3]}\n`;
      
      fs.appendFileSync(labelFile, line);
    }
    
    console.log(`[Export] YOLO dataset sparat till: ${outputDir}`);
  }

  /**
   * ============================================================
   * STATS
   * ============================================================
   */

  getVocabularyStats() {
    const stats = {};
    let total = 0;
    
    for (const [category, items] of Object.entries(this.vocabulary)) {
      stats[category] = items.length;
      total += items.length;
    }
    
    return {
      total,
      categories: Object.keys(this.vocabulary).length,
      byCategory: stats
    };
  }
}

module.exports = CloudVisionBootstrap;

// Demo
if (require.main === module) {
  const bootstrap = new CloudVisionBootstrap();
  
  console.log('╔════════════════════════════════════════════════════════════╗');
  console.log('║     CLOUD VISION BOOTSTRAP                                ║');
  console.log('╚════════════════════════════════════════════════════════════╝\n');
  
  console.log('=== INFRASTRUCTURE VOCABULARY ===');
  const vocabStats = bootstrap.getVocabularyStats();
  console.log(`Totalt: ${vocabStats.total} objekt`);
  console.log(`Kategorier: ${vocabStats.categories}`);
  for (const [cat, count] of Object.entries(vocabStats.byCategory)) {
    console.log(`  ${cat}: ${count}`);
  }
  
  console.log('\n=== EXEMPEL PÅ MAPPNING ===');
  console.log('Cloud Vision "street light" → QUIXZOOM "street lamp"');
  console.log('Cloud Vision "traffic signal" → QUIXZOOM "traffic light"');
  console.log('Cloud Vision "manhole cover" → QUIXZOOM "manhole cover"');
  
  console.log('\n=== ANVÄNDNING ===');
  console.log('1. Sätt GOOGLE_APPLICATION_CREDENTIALS');
  console.log('2. Kör detectInfrastructure(imagePath)');
  console.log('3. Granska och korrigera annotationer');
  console.log('4. Bygg gold dataset');
  console.log('5. Träna custom modell');
  
  console.log('\n✅ Cloud Vision Bootstrap redo!');
}