Automated Product Attribute Extraction and Tagging

// Define attribute extractors
const attributeConfig = {
  fashion: {
    extractors: [
      'color-primary', 'color-secondary',
      'pattern-type', 'material-detection',
      'style-category', 'season-detection',
      'garment-type', 'neckline-type'
    ]
  },
  home: {
    extractors: [
      'color-primary', 'material-detection',
      'style-category', 'room-type',
      'dimension-estimation'
    ]
  }
};

async function extractProductAttributes(productId: string, imageUrl: string, category: string) {
  const config = attributeConfig[category];

  const result = await client.extract({
    url: imageUrl,
    extractors: config.extractors
  });

  return {
    product_id: productId,
    colors: {
      primary: result['color-primary'],
      secondary: result['color-secondary']
    },
    pattern: result['pattern-type'],
    material: result['material-detection'],
    style: result['style-category'],
    attributes: result
  };
}

async function updateCatalogAttributes(productId: string, attributes: object) {
  // Update product database
  await db.products.update({
    where: { id: productId },
    data: {
      primary_color: attributes.colors.primary,
      pattern: attributes.pattern,
      material: attributes.material,
      style: attributes.style,
      auto_tagged: true,
      tagged_at: new Date()
    }
  });

  // Update search index
  await searchIndex.update(productId, attributes);
}

async function processWithQA(productId: string, imageUrl: string, category: string) {
  const attributes = await extractProductAttributes(productId, imageUrl, category);

  // Check confidence scores
  const lowConfidence = Object.entries(attributes)
    .filter(([key, value]) => value.confidence < 0.80);

  if (lowConfidence.length > 0) {
    await queueForReview(productId, lowConfidence);
    return { status: 'pending_review', attributes };
  }

  await updateCatalogAttributes(productId, attributes);
  return { status: 'completed', attributes };
}