/**
 * Comprehensive Query Builder Example
 *
 * Demonstrates type-safe query construction with the QueryBuilder
 */

import {
  createConfig,
  ElasticsearchConnectionManager,
  LogLevel,
} from '../../core/index.js';
import { DocumentManager } from '../../domain/documents/index.js';
import { QueryBuilder, createQuery } from '../../domain/query/index.js';

interface Product {
  name: string;
  description: string;
  category: string;
  brand: string;
  price: number;
  rating: number;
  stock: number;
  tags: string[];
  createdAt: Date;
  updatedAt: Date;
}

async function main() {
  console.log('=== Query Builder Example ===\n');

  // ============================================================================
  // Step 1: Configuration
  // ============================================================================

  console.log('Step 1: Configuring Elasticsearch connection...');
  const config = createConfig()
    .fromEnv()
    .nodes(process.env.ELASTICSEARCH_URL || 'http://localhost:9200')
    .basicAuth(
      process.env.ELASTICSEARCH_USERNAME || 'elastic',
      process.env.ELASTICSEARCH_PASSWORD || 'changeme'
    )
    .timeout(30000)
    .retries(3)
    .logLevel(LogLevel.INFO)
    .enableMetrics(true)
    .enableTracing(true, { serviceName: 'query-example', serviceVersion: '1.0.0' })
    .build();

  // ============================================================================
  // Step 2: Initialize Connection
  // ============================================================================

  console.log('Step 2: Initializing connection manager...');
  const connectionManager = ElasticsearchConnectionManager.getInstance(config);
  await connectionManager.initialize();
  console.log('✓ Connection manager initialized\n');

  // ============================================================================
  // Step 3: Setup Sample Data
  // ============================================================================

  console.log('Step 3: Setting up sample data...');
  const products = new DocumentManager<Product>({
    index: 'products-query-example',
    autoCreateIndex: true,
  });
  await products.initialize();

  // Create sample products
  const sampleProducts: Array<{ id: string; data: Product }> = [
    {
      id: 'laptop-1',
      data: {
        name: 'Professional Laptop Pro',
        description: 'High-performance laptop for professionals',
        category: 'Electronics',
        brand: 'TechBrand',
        price: 1299.99,
        rating: 4.5,
        stock: 15,
        tags: ['laptop', 'professional', 'high-end'],
        createdAt: new Date('2024-01-15'),
        updatedAt: new Date('2024-01-20'),
      },
    },
    {
      id: 'laptop-2',
      data: {
        name: 'Budget Laptop Basic',
        description: 'Affordable laptop for everyday use',
        category: 'Electronics',
        brand: 'ValueBrand',
        price: 499.99,
        rating: 3.8,
        stock: 30,
        tags: ['laptop', 'budget', 'student'],
        createdAt: new Date('2024-02-01'),
        updatedAt: new Date('2024-02-05'),
      },
    },
    {
      id: 'phone-1',
      data: {
        name: 'Smartphone X',
        description: 'Latest flagship smartphone',
        category: 'Electronics',
        brand: 'PhoneBrand',
        price: 899.99,
        rating: 4.7,
        stock: 25,
        tags: ['smartphone', 'flagship', '5g'],
        createdAt: new Date('2024-01-20'),
        updatedAt: new Date('2024-01-25'),
      },
    },
    {
      id: 'tablet-1',
      data: {
        name: 'Tablet Pro',
        description: 'Professional tablet for creative work',
        category: 'Electronics',
        brand: 'TechBrand',
        price: 799.99,
        rating: 4.6,
        stock: 20,
        tags: ['tablet', 'creative', 'professional'],
        createdAt: new Date('2024-02-10'),
        updatedAt: new Date('2024-02-15'),
      },
    },
    {
      id: 'monitor-1',
      data: {
        name: '4K Monitor',
        description: 'Ultra HD monitor for gaming and design',
        category: 'Electronics',
        brand: 'DisplayBrand',
        price: 599.99,
        rating: 4.4,
        stock: 12,
        tags: ['monitor', '4k', 'gaming'],
        createdAt: new Date('2024-01-25'),
        updatedAt: new Date('2024-01-30'),
      },
    },
  ];

  // Index sample data
  const session = products.session();
  session.start();
  for (const product of sampleProducts) {
    session.upsert(product.id, product.data);
  }
  await session.commit();
  console.log(`✓ Indexed ${sampleProducts.length} sample products\n`);

  // Wait for indexing to complete
  await new Promise((resolve) => setTimeout(resolve, 1000));

  // ============================================================================
  // Step 4: Simple Queries
  // ============================================================================

  console.log('Step 4: Running simple queries...\n');

  // 4.1: Match query - search by name
  console.log('4.1: Match query - search for "laptop"');
  const laptopResults = await createQuery<Product>('products-query-example')
    .match('name', 'laptop')
    .size(10)
    .execute();
  console.log(`Found ${laptopResults.hits.total.value} laptops`);
  console.log('Laptops:', laptopResults.hits.hits.map((h) => h._source.name));
  console.log();

  // 4.2: Term query - exact match on category
  console.log('4.2: Term query - exact category match');
  const electronicsResults = await createQuery<Product>('products-query-example')
    .term('category.keyword', 'Electronics')
    .execute();
  console.log(`Found ${electronicsResults.hits.total.value} electronics`);
  console.log();

  // 4.3: Range query - price between 500 and 1000
  console.log('4.3: Range query - price between $500 and $1000');
  const midPriceResults = await createQuery<Product>('products-query-example')
    .range('price', { gte: 500, lte: 1000 })
    .sort('price', 'asc')
    .execute();
  console.log(`Found ${midPriceResults.hits.total.value} products in price range`);
  midPriceResults.hits.hits.forEach((hit) => {
    console.log(`  - ${hit._source.name}: $${hit._source.price}`);
  });
  console.log();

  // 4.4: Multi-match query - search across multiple fields
  console.log('4.4: Multi-match query - search "professional" in name and description');
  const professionalResults = await createQuery<Product>('products-query-example')
    .multiMatch('professional', ['name', 'description'])
    .execute();
  console.log(`Found ${professionalResults.hits.total.value} professional products`);
  console.log();

  // ============================================================================
  // Step 5: Boolean Queries
  // ============================================================================

  console.log('Step 5: Running boolean queries...\n');

  // 5.1: Must + Filter - combine multiple conditions
  console.log('5.1: Boolean query - TechBrand products over $700');
  const techBrandResults = await createQuery<Product>('products-query-example')
    .term('brand.keyword', 'TechBrand')
    .range('price', { gte: 700 })
    .sort('price', 'desc')
    .execute();
  console.log(`Found ${techBrandResults.hits.total.value} matching products`);
  techBrandResults.hits.hits.forEach((hit) => {
    console.log(`  - ${hit._source.name} (${hit._source.brand}): $${hit._source.price}`);
  });
  console.log();

  // 5.2: Should clause - match any condition
  console.log('5.2: Should query - products matching "laptop" OR "tablet"');
  const laptopOrTabletResults = await new QueryBuilder<Product>('products-query-example')
    .should({ match: { name: { query: 'laptop' } } })
    .should({ match: { name: { query: 'tablet' } } })
    .minimumMatch(1)
    .execute();
  console.log(`Found ${laptopOrTabletResults.hits.total.value} laptops or tablets`);
  console.log();

  // 5.3: Must not - exclude results
  console.log('5.3: Must not query - electronics excluding laptops');
  const noLaptopsResults = await createQuery<Product>('products-query-example')
    .term('category.keyword', 'Electronics')
    .mustNot({ match: { name: { query: 'laptop' } } })
    .execute();
  console.log(`Found ${noLaptopsResults.hits.total.value} non-laptop electronics`);
  console.log();

  // ============================================================================
  // Step 6: Aggregations
  // ============================================================================

  console.log('Step 6: Running aggregations...\n');

  // 6.1: Terms aggregation - group by brand
  console.log('6.1: Terms aggregation - products by brand');
  const brandAggResults = await createQuery<Product>('products-query-example')
    .matchAll()
    .size(0) // We only want aggregations, not documents
    .aggregations((agg) => {
      agg.terms('brands', 'brand.keyword', { size: 10 });
    })
    .execute();
  if (brandAggResults.aggregations && 'brands' in brandAggResults.aggregations) {
    const brandsAgg = brandAggResults.aggregations.brands as { buckets: Array<{ key: string; doc_count: number }> };
    console.log('Products by brand:');
    brandsAgg.buckets.forEach((bucket) => {
      console.log(`  - ${bucket.key}: ${bucket.doc_count} products`);
    });
  }
  console.log();

  // 6.2: Metric aggregations - price statistics
  console.log('6.2: Metric aggregations - price statistics');
  const priceStatsResults = await createQuery<Product>('products-query-example')
    .matchAll()
    .size(0)
    .aggregations((agg) => {
      agg.stats('price_stats', 'price');
      agg.avg('avg_rating', 'rating');
      agg.sum('total_stock', 'stock');
    })
    .execute();
  if (priceStatsResults.aggregations) {
    console.log('Price statistics:', priceStatsResults.aggregations.price_stats);
    console.log('Average rating:', priceStatsResults.aggregations.avg_rating);
    console.log('Total stock:', priceStatsResults.aggregations.total_stock);
  }
  console.log();

  // 6.3: Nested aggregations - brands with average price
  console.log('6.3: Nested aggregations - average price per brand');
  const nestedAggResults = await createQuery<Product>('products-query-example')
    .matchAll()
    .size(0)
    .aggregations((agg) => {
      agg.terms('brands', 'brand.keyword', { size: 10 }).subAggregation('avg_price', (sub) => {
        sub.avg('avg_price', 'price');
      });
    })
    .execute();
  if (nestedAggResults.aggregations && 'brands' in nestedAggResults.aggregations) {
    const brandsAgg = nestedAggResults.aggregations.brands as {
      buckets: Array<{ key: string; doc_count: number; avg_price: { value: number } }>;
    };
    console.log('Average price by brand:');
    brandsAgg.buckets.forEach((bucket) => {
      console.log(`  - ${bucket.key}: $${bucket.avg_price.value.toFixed(2)} (${bucket.doc_count} products)`);
    });
  }
  console.log();

  // ============================================================================
  // Step 7: Advanced Features
  // ============================================================================

  console.log('Step 7: Advanced query features...\n');

  // 7.1: Pagination
  console.log('7.1: Pagination - page 1 of results (2 per page)');
  const page1Results = await createQuery<Product>('products-query-example')
    .matchAll()
    .paginate(1, 2)
    .sort('price', 'asc')
    .execute();
  console.log(`Page 1: ${page1Results.hits.hits.length} results`);
  page1Results.hits.hits.forEach((hit) => {
    console.log(`  - ${hit._source.name}: $${hit._source.price}`);
  });
  console.log();

  // 7.2: Source filtering - only return specific fields
  console.log('7.2: Source filtering - only name and price');
  const filteredResults = await createQuery<Product>('products-query-example')
    .matchAll()
    .fields(['name', 'price'])
    .size(3)
    .execute();
  console.log('Filtered results:');
  filteredResults.hits.hits.forEach((hit) => {
    console.log(`  - Name: ${hit._source.name}, Price: ${hit._source.price}`);
  });
  console.log();

  // 7.3: Count documents
  console.log('7.3: Count documents matching query');
  const count = await createQuery<Product>('products-query-example')
    .range('price', { gte: 500 })
    .count();
  console.log(`Count of products over $500: ${count}`);
  console.log();

  // 7.4: Get only sources (convenience method)
  console.log('7.4: Get sources only');
  const sources = await createQuery<Product>('products-query-example')
    .term('brand.keyword', 'TechBrand')
    .executeAndGetSources();
  console.log(`TechBrand products: ${sources.map((s) => s.name).join(', ')}`);
  console.log();

  // ============================================================================
  // Step 8: Complex Real-World Query
  // ============================================================================

  console.log('Step 8: Complex real-world query...\n');

  console.log('Finding high-rated electronics in stock, sorted by best deals:');
  const complexResults = await createQuery<Product>('products-query-example')
    .term('category.keyword', 'Electronics')
    .range('rating', { gte: 4.0 })
    .range('stock', { gt: 0 })
    .range('price', { lte: 1000 })
    .sort('rating', 'desc')
    .size(5)
    .aggregations((agg) => {
      agg.terms('top_brands', 'brand.keyword', { size: 5 });
      agg.avg('avg_price', 'price');
      agg.max('max_rating', 'rating');
    })
    .execute();

  console.log(`Found ${complexResults.hits.total.value} matching products`);
  console.log('\nTop results:');
  complexResults.hits.hits.forEach((hit, index) => {
    console.log(`  ${index + 1}. ${hit._source.name}`);
    console.log(`     Brand: ${hit._source.brand}`);
    console.log(`     Price: $${hit._source.price}`);
    console.log(`     Rating: ${hit._source.rating}⭐`);
    console.log(`     Stock: ${hit._source.stock} units`);
  });

  if (complexResults.aggregations) {
    console.log('\nAggregated insights:');
    console.log('  Average price:', complexResults.aggregations.avg_price);
    console.log('  Max rating:', complexResults.aggregations.max_rating);
    if ('top_brands' in complexResults.aggregations) {
      const topBrands = complexResults.aggregations.top_brands as { buckets: Array<{ key: string; doc_count: number }> };
      console.log('  Top brands:');
      topBrands.buckets.forEach((bucket) => {
        console.log(`    - ${bucket.key}: ${bucket.doc_count} products`);
      });
    }
  }
  console.log();

  // ============================================================================
  // Step 9: Cleanup
  // ============================================================================

  console.log('Step 9: Cleanup...');
  await products.deleteIndex();
  console.log('✓ Test index deleted');

  await connectionManager.destroy();
  console.log('✓ Connection closed\n');

  console.log('=== Query Builder Example Complete ===');
}

// Run the example
main().catch((error) => {
  console.error('Example failed:', error);
  process.exit(1);
});