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const { pool } = require('../config/database'); const { logger } = require('../config/logger'); const axios = require('axios'); // Cache for frequently accessed data const cache = new Map(); const CACHE_TTL = 5 * 60 * 1000; // 5 minutes // Intent patterns for better classification const INTENT_PATTERNS = { greeting: /^(hi|hello|hey|good morning|good afternoon|good evening|oi|olá|bom dia|boa tarde|boa noite)/i, question: /^(what|how|when|where|why|who|qual|como|quando|onde|por que|quem)/i, help: /^(help|ajuda|socorro|support|suporte)/i, complaint: /^(problem|issue|erro|error|bug|não funciona|not working)/i, thanks: /^(thank|obrigad|valeu|thanks)/i, goodbye: /^(bye|tchau|goodbye|até logo|see you)/i }; class WhatsAppCloudFAQService { /** * Check if FAQ tables exist * @returns {Promise<boolean>} True if tables exist */ static async checkTablesExist() { try { const [tables] = await pool.query(` SELECT TABLE_NAME FROM information_schema.TABLES WHERE TABLE_SCHEMA = DATABASE() AND TABLE_NAME IN ('whatsapp_cloud_faqs', 'whatsapp_cloud_faq_settings', 'whatsapp_cloud_faq_usage') `); return tables.length === 3; } catch (error) { logger.error('Error checking FAQ tables', { error: error.message }); return false; } } /** * Get cached data or fetch from database * @param {string} key - Cache key * @param {Function} fetchFn - Function to fetch data if not cached * @returns {Promise<any>} Cached or fresh data */ static async getCached(key, fetchFn) { const cached = cache.get(key); if (cached && Date.now() - cached.timestamp < CACHE_TTL) { return cached.data; } const data = await fetchFn(); cache.set(key, { data, timestamp: Date.now() }); return data; } /** * Clear cache for specific tenant/account * @param {number} tenantId - Tenant ID * @param {number} accountId - Account ID */ static clearCache(tenantId, accountId = null) { const pattern = `${tenantId}_${accountId || 'null'}`; for (const key of cache.keys()) { if (key.includes(pattern)) { cache.delete(key); } } } /** * Detect user intent from message * @param {string} message - User message * @returns {string} Detected intent */ static detectIntent(message) { const cleanMessage = message.toLowerCase().trim(); for (const [intent, pattern] of Object.entries(INTENT_PATTERNS)) { if (pattern.test(cleanMessage)) { return intent; } } return 'general'; } /** * Enhanced message processing with intelligent matching * @param {number} tenantId - Tenant ID * @param {number} accountId - Account ID * @param {number} conversationId - Conversation ID * @param {string} messageText - Message text * @param {string} contactPhone - Contact phone number * @param {Object} context - Additional context (conversation history, user profile, etc.) * @returns {Promise<Object>} Processing result with match details */ static async processMessage(tenantId, accountId, conversationId, messageText, contactPhone, context = {}) { try { // Check if tables exist first const tablesExist = await this.checkTablesExist(); if (!tablesExist) { logger.debug('FAQ tables do not exist yet, skipping FAQ processing'); return { matched: false, reason: 'tables_not_exist' }; } // Get FAQ settings with caching const cacheKey = `settings_${tenantId}_${accountId}`; const settings = await this.getCached(cacheKey, () => WhatsAppCloudFAQ.getSettings(tenantId, accountId) ); if (!settings.auto_reply_enabled) { logger.debug('FAQ auto-reply disabled', { tenantId, accountId }); return { matched: false, reason: 'disabled' }; } // Detect intent const intent = this.detectIntent(messageText); logger.debug('Intent detected', { intent, message: messageText }); // Handle special intents if (intent === 'greeting' && settings.welcome_message) { await this.sendMessage(tenantId, accountId, contactPhone, settings.welcome_message); return { matched: true, type: 'greeting', message: settings.welcome_message }; } if (intent === 'thanks') { const thankYouMessage = 'You\'re welcome! 😊 Is there anything else I can help you with?'; await this.sendMessage(tenantId, accountId, contactPhone, thankYouMessage); return { matched: true, type: 'thanks', message: thankYouMessage }; } // Check if message is menu trigger const menuKeyword = (settings.menu_trigger_keyword || 'menu').toLowerCase(); if (messageText.toLowerCase().trim() === menuKeyword && settings.menu_enabled) { const menuResult = await this.sendFAQMenu(tenantId, accountId, conversationId, contactPhone); return { matched: menuResult, type: 'menu' }; } // Enhanced FAQ search with multiple algorithms const searchResult = await this.intelligentSearch(tenantId, accountId, messageText, context); if (!searchResult.matches || searchResult.matches.length === 0) { // No match found - send contextual no-match message if (settings.no_match_message) { const contextualMessage = await this.generateContextualNoMatchMessage( settings.no_match_message, intent, messageText ); await this.sendMessage(tenantId, accountId, contactPhone, contextualMessage); } // Log failed search for learning await this.logFailedSearch(tenantId, accountId, conversationId, messageText, intent); return { matched: false, reason: 'no_match', intent, searchResult }; } // Use best matching FAQ const bestMatch = searchResult.matches[0]; // Check confidence threshold const minConfidence = settings.similarity_threshold || 0.70; if (bestMatch.confidence < minConfidence) { logger.debug('Match confidence too low', { confidence: bestMatch.confidence, threshold: minConfidence }); // Suggest alternatives if confidence is moderate if (bestMatch.confidence > 0.5) { const suggestionMessage = await this.generateSuggestionMessage(searchResult.matches.slice(0, 3)); await this.sendMessage(tenantId, accountId, contactPhone, suggestionMessage); return { matched: true, type: 'suggestion', matches: searchResult.matches.slice(0, 3) }; } return { matched: false, reason: 'low_confidence', confidence: bestMatch.confidence }; } // Send FAQ answer with personalization const personalizedAnswer = await this.personalizeAnswer(bestMatch.answer, context); await this.sendMessage(tenantId, accountId, contactPhone, personalizedAnswer); // Log successful FAQ usage with enhanced data await WhatsAppCloudFAQ.logUsage( tenantId, bestMatch.id, conversationId, 'auto', messageText, { confidence: bestMatch.confidence, intent: intent, algorithm: searchResult.algorithm, context: context } ); // Update FAQ performance metrics await this.updateFAQMetrics(tenantId, bestMatch.id, bestMatch.confidence, true); logger.info('Enhanced FAQ auto-reply sent', { tenantId, accountId, conversationId, faqId: bestMatch.id, question: bestMatch.question, confidence: bestMatch.confidence, intent: intent, algorithm: searchResult.algorithm }); return { matched: true, type: 'faq', faq: bestMatch, confidence: bestMatch.confidence, intent: intent, algorithm: searchResult.algorithm }; } catch (error) { logger.error('Error processing enhanced FAQ auto-reply', { tenantId, accountId, conversationId, error: error.message, stack: error.stack }); return { matched: false, reason: 'error', error: error.message }; } } /** * Intelligent search with multiple algorithms * @param {number} tenantId - Tenant ID * @param {number} accountId - Account ID * @param {string} query - Search query * @param {Object} context - Search context * @returns {Promise<Object>} Search results with confidence scores */ static async intelligentSearch(tenantId, accountId, query, context = {}) { try { const cacheKey = `faqs_${tenantId}_${accountId}`; const faqs = await this.getCached(cacheKey, () => WhatsAppCloudFAQ.getByTenantId(tenantId, accountId, true) ); if (faqs.length === 0) { return { matches: [], algorithm: 'none' }; } const cleanQuery = query.toLowerCase().trim(); const queryWords = cleanQuery.split(/\s+/).filter(word => word.length > 2); // Multiple search algorithms const algorithms = [ { name: 'exact_match', weight: 1.0, fn: this.exactMatchSearch }, { name: 'keyword_match', weight: 0.9, fn: this.keywordMatchSearch }, { name: 'semantic_similarity', weight: 0.8, fn: this.semanticSimilaritySearch }, { name: 'fuzzy_match', weight: 0.7, fn: this.fuzzyMatchSearch }, { name: 'context_aware', weight: 0.85, fn: this.contextAwareSearch } ]; let allMatches = []; // Run all algorithms and combine results for (const algorithm of algorithms) { try { const matches = await algorithm.fn.call(this, faqs, cleanQuery, queryWords, context); // Apply algorithm weight to confidence scores const weightedMatches = matches.map(match => ({ ...match, confidence: match.confidence * algorithm.weight, algorithm: algorithm.name })); allMatches = allMatches.concat(weightedMatches); } catch (error) { logger.warn(`Algorithm ${algorithm.name} failed`, { error: error.message }); } } // Merge and deduplicate matches const mergedMatches = this.mergeMatches(allMatches); // Sort by confidence and apply learning boost const rankedMatches = await this.applyLearningBoost(tenantId, mergedMatches, context); // Return top matches const topMatches = rankedMatches.slice(0, 5); const bestAlgorithm = topMatches.length > 0 ? topMatches[0].algorithm : 'none'; return { matches: topMatches, algorithm: bestAlgorithm, totalCandidates: allMatches.length, query: cleanQuery }; } catch (error) { logger.error('Error in intelligent search', { error: error.message }); return { matches: [], algorithm: 'error' }; } } /** * Exact match search algorithm */ static async exactMatchSearch(faqs, query, queryWords, context) { const matches = []; const normalize = (text) => String(text || '') .toLowerCase() .normalize('NFD') .replace(/[\u0300-\u036f]/g, '') .replace(/[^a-z0-9\s]/g, ' ') .replace(/\s+/g, ' ') .trim(); const escapeRegex = (text) => text.replace(/[.*+?^${}()|[\]\\]/g, '\\$&'); const normalizedQuery = normalize(query); const normalizedQueryWords = normalizedQuery.split(' ').filter(Boolean); for (const faq of faqs) { const question = normalize(faq.question); const answer = normalize(faq.answer); let confidence = 0; // Exact question match if (question === normalizedQuery && normalizedQuery) { confidence = 1.0; } // Exact phrase in question else if (normalizedQuery && question.includes(normalizedQuery)) { confidence = 0.9; } // Exact words in question else if (normalizedQueryWords.length > 0) { const allWordsMatch = normalizedQueryWords.every(word => new RegExp(`\\b${escapeRegex(word)}\\b`, 'i').test(question)); if (allWordsMatch) { confidence = normalizedQueryWords.length > 1 ? 0.95 : 0.9; } } // Exact phrase in answer else if (normalizedQuery && answer.includes(normalizedQuery)) { confidence = 0.7; } if (confidence > 0) { matches.push({ ...faq, confidence, matchType: 'exact', matchedText: query }); } } return matches.sort((a, b) => b.confidence - a.confidence); } /** * Keyword match search algorithm */ static async keywordMatchSearch(faqs, query, queryWords, context) { const matches = []; for (const faq of faqs) { const question = faq.question.toLowerCase(); const answer = faq.answer.toLowerCase(); const keywords = (faq.keywords || '').toLowerCase(); let matchedWords = 0; let totalWords = queryWords.length; let keywordBonus = 0; // Count word matches for (const word of queryWords) { if (question.includes(word) || answer.includes(word)) { matchedWords++; } if (keywords.includes(word)) { matchedWords++; keywordBonus += 0.1; } } if (matchedWords > 0) { const confidence = (matchedWords / totalWords) + keywordBonus; matches.push({ ...faq, confidence: Math.min(confidence, 1.0), matchType: 'keyword', matchedWords: matchedWords, totalWords: totalWords }); } } return matches.sort((a, b) => b.confidence - a.confidence); } /** * Semantic similarity search using enhanced string similarity */ static async semanticSimilaritySearch(faqs, query, queryWords, context) { const matches = []; for (const faq of faqs) { const questionSimilarity = this.calculateAdvancedSimilarity(query, faq.question.toLowerCase()); const answerSimilarity = this.calculateAdvancedSimilarity(query, faq.answer.toLowerCase()) * 0.7; const maxSimilarity = Math.max(questionSimilarity, answerSimilarity); if (maxSimilarity > 0.3) { matches.push({ ...faq, confidence: maxSimilarity, matchType: 'semantic', questionSimilarity, answerSimilarity }); } } return matches.sort((a, b) => b.confidence - a.confidence); } /** * Fuzzy match search for typos and variations */ static async fuzzyMatchSearch(faqs, query, queryWords, context) { const matches = []; for (const faq of faqs) { const question = faq.question.toLowerCase(); const questionWords = question.split(/\s+/); let fuzzyScore = 0; let matchCount = 0; // Check each query word against question words for (const queryWord of queryWords) { let bestWordScore = 0; for (const questionWord of questionWords) { const similarity = this.calculateLevenshteinSimilarity(queryWord, questionWord); if (similarity > bestWordScore) { bestWordScore = similarity; } } if (bestWordScore > 0.7) { fuzzyScore += bestWordScore; matchCount++; } } if (matchCount > 0) { const confidence = (fuzzyScore / queryWords.length) * 0.8; // Reduce confidence for fuzzy matches matches.push({ ...faq, confidence, matchType: 'fuzzy', fuzzyScore, matchCount }); } } return matches.sort((a, b) => b.confidence - a.confidence); } /** * Context-aware search considering conversation history and user profile */ static async contextAwareSearch(faqs, query, queryWords, context) { const matches = []; // Base keyword search const keywordMatches = await this.keywordMatchSearch(faqs, query, queryWords, context); for (const match of keywordMatches) { let contextBoost = 0; // Category preference based on recent interactions if (context.preferredCategory && match.category === context.preferredCategory) { contextBoost += 0.15; } // Time-based relevance (recent FAQs get slight boost) if (match.last_used_at) { const daysSinceUsed = (Date.now() - new Date(match.last_used_at).getTime()) / (1000 * 60 * 60 * 24); if (daysSinceUsed < 7) { contextBoost += 0.05; } } // Usage frequency boost if (match.usage_count > 10) { contextBoost += 0.1; } // Apply context boost const boostedConfidence = Math.min(match.confidence + contextBoost, 1.0); matches.push({ ...match, confidence: boostedConfidence, matchType: 'context_aware', contextBoost }); } return matches.sort((a, b) => b.confidence - a.confidence); } /** * Merge and deduplicate matches from different algorithms */ static mergeMatches(allMatches) { const matchMap = new Map(); for (const match of allMatches) { const key = match.id; if (matchMap.has(key)) { const existing = matchMap.get(key); // Keep the match with higher confidence if (match.confidence > existing.confidence) { matchMap.set(key, { ...match, algorithms: [...(existing.algorithms || [existing.algorithm]), match.algorithm] }); } else { existing.algorithms = [...(existing.algorithms || [existing.algorithm]), match.algorithm]; } } else { matchMap.set(key, match); } } return Array.from(matchMap.values()); } /** * Apply machine learning boost based on historical performance */ static async applyLearningBoost(tenantId, matches, context) { try { // Get FAQ performance metrics const performanceData = await this.getFAQPerformanceMetrics(tenantId); return matches.map(match => { const performance = performanceData.get(match.id); let learningBoost = 0; if (performance) { // Boost based on success rate if (performance.success_rate > 0.8) { learningBoost += 0.1; } // Boost based on user satisfaction (if available) if (performance.avg_rating > 4.0) { learningBoost += 0.05; } // Penalize frequently rejected FAQs if (performance.rejection_rate > 0.3) { learningBoost -= 0.1; } } return { ...match, confidence: Math.max(0, Math.min(1.0, match.confidence + learningBoost)), learningBoost }; }).sort((a, b) => b.confidence - a.confidence); } catch (error) { logger.warn('Error applying learning boost', { error: error.message }); return matches.sort((a, b) => b.confidence - a.confidence); } } /** * Send FAQ menu with enhanced formatting * @param {number} tenantId - Tenant ID * @param {number} accountId - Account ID * @param {number} conversationId - Conversation ID * @param {string} contactPhone - Contact phone number * @returns {Promise<boolean>} Success status */ static async sendFAQMenu(tenantId, accountId, conversationId, contactPhone) { try { const settings = await WhatsAppCloudFAQ.getSettings(tenantId, accountId); const faqs = await WhatsAppCloudFAQ.getByTenantId(tenantId, accountId, true); if (faqs.length === 0) { await this.sendMessage(tenantId, accountId, contactPhone, 'No FAQs available at the moment.'); return false; } // Build enhanced menu message let menuText = settings.menu_header || '📋 *Available Options*\n\nPlease select an option:'; menuText += '\n\n'; // Group FAQs by category for better organization const categorizedFAQs = this.groupFAQsByCategory(faqs); let optionNumber = 1; for (const [category, categoryFAQs] of Object.entries(categorizedFAQs)) { if (Object.keys(categorizedFAQs).length > 1) { menuText += `\n*${this.formatCategoryName(category)}*\n`; } for (const faq of categoryFAQs.slice(0, 5)) { // Limit to 5 per category const emoji = faq.emoji || '▪️'; menuText += `${emoji} *${optionNumber}.* ${faq.question}\n`; optionNumber++; } } menuText += '\n' + (settings.menu_footer || 'Reply with the number of your choice or ask me directly!'); await this.sendMessage(tenantId, accountId, contactPhone, menuText); logger.info('Enhanced FAQ menu sent', { tenantId, accountId, conversationId, faqCount: faqs.length, categories: Object.keys(categorizedFAQs).length }); return true; } catch (error) { logger.error('Error sending FAQ menu', { tenantId, accountId, error: error.message }); return false; } } /** * Group FAQs by category */ static groupFAQsByCategory(faqs) { const grouped = {}; for (const faq of faqs) { const category = faq.category || 'general'; if (!grouped[category]) { grouped[category] = []; } grouped[category].push(faq); } // Sort categories by FAQ count const sortedCategories = Object.keys(grouped).sort((a, b) => grouped[b].length - grouped[a].length ); const result = {}; for (const category of sortedCategories) { result[category] = grouped[category].sort((a, b) => (b.usage_count || 0) - (a.usage_count || 0) ); } return result; } /** * Format category name for display */ static formatCategoryName(category) { const categoryNames = { general: '📝 General', support: '🛠️ Support', sales: '💰 Sales', billing: '💳 Billing', technical: '⚙️ Technical', other: '📂 Other' }; return categoryNames[category] || `📁 ${category.charAt(0).toUpperCase() + category.slice(1)}`; } /** * Generate contextual no-match message */ static async generateContextualNoMatchMessage(baseMessage, intent, originalMessage) { let contextualMessage = baseMessage; // Add intent-specific suggestions switch (intent) { case 'help': contextualMessage += '\n\n💡 Try typing "menu" to see available options, or contact our support team directly.'; break; case 'complaint': contextualMessage += '\n\n🔧 For technical issues, please provide more details or contact our technical support team.'; break; case 'question': contextualMessage += '\n\n❓ Try rephrasing your question or type "menu" to browse available topics.'; break; default: contextualMessage += '\n\n📋 Type "menu" to see available options.'; } return contextualMessage; } /** * Generate suggestion message for moderate confidence matches */ static async generateSuggestionMessage(matches) { let message = '🤔 I found some related topics that might help:\n\n'; matches.forEach((match, index) => { const emoji = match.emoji || '▪️'; message += `${emoji} ${match.question}\n`; }); message += '\n💬 Please let me know which one interests you, or ask your question differently.'; return message; } /** * Personalize answer based on context */ static async personalizeAnswer(answer, context) { let personalizedAnswer = answer; // Add user name if available if (context.userName) { personalizedAnswer = personalizedAnswer.replace(/\{name\}/g, context.userName); } // Add time-based greetings const hour = new Date().getHours(); if (personalizedAnswer.includes('{greeting}')) { let greeting = 'Hello'; if (hour < 12) greeting = 'Good morning'; else if (hour < 18) greeting = 'Good afternoon'; else greeting = 'Good evening'; personalizedAnswer = personalizedAnswer.replace(/\{greeting\}/g, greeting); } // Add company name if available if (context.companyName) { personalizedAnswer = personalizedAnswer.replace(/\{company\}/g, context.companyName); } return personalizedAnswer; } /** * Log failed search for learning purposes */ static async logFailedSearch(tenantId, accountId, conversationId, query, intent) { try { await pool.query( `INSERT INTO whatsapp_cloud_faq_failed_searches (tenant_id, account_id, conversation_id, query, intent, created_at) VALUES (?, ?, ?, ?, ?, NOW()) ON DUPLICATE KEY UPDATE search_count = search_count + 1, last_searched_at = NOW()`, [tenantId, accountId, conversationId, query, intent] ); } catch (error) { logger.warn('Error logging failed search', { error: error.message }); } } /** * Update FAQ performance metrics */ static async updateFAQMetrics(tenantId, faqId, confidence, wasSuccessful) { try { await pool.query( `INSERT INTO whatsapp_cloud_faq_metrics (tenant_id, faq_id, total_uses, successful_uses, avg_confidence, last_used_at) VALUES (?, ?, 1, ?, ?, NOW()) ON DUPLICATE KEY UPDATE total_uses = total_uses + 1, successful_uses = successful_uses + ?, avg_confidence = (avg_confidence * (total_uses - 1) + ?) / total_uses, last_used_at = NOW()`, [tenantId, faqId, wasSuccessful ? 1 : 0, wasSuccessful ? 1 : 0, confidence] ); } catch (error) { logger.warn('Error updating FAQ metrics', { error: error.message }); } } /** * Get FAQ performance metrics for learning */ static async getFAQPerformanceMetrics(tenantId) { try { const [rows] = await pool.query( `SELECT faq_id, (successful_uses / total_uses) as success_rate, avg_confidence, total_uses, successful_uses, ((total_uses - successful_uses) / total_uses) as rejection_rate FROM whatsapp_cloud_faq_metrics WHERE tenant_id = ? AND total_uses > 0`, [tenantId] ); const metricsMap = new Map(); for (const row of rows) { metricsMap.set(row.faq_id, { success_rate: row.success_rate, avg_confidence: row.avg_confidence, total_uses: row.total_uses, successful_uses: row.successful_uses, rejection_rate: row.rejection_rate, avg_rating: 4.0 // Default rating, can be enhanced with user feedback }); } return metricsMap; } catch (error) { logger.warn('Error getting FAQ performance metrics', { error: error.message }); return new Map(); } } /** * Advanced similarity calculation with multiple techniques */ static calculateAdvancedSimilarity(str1, str2) { if (!str1 || !str2) return 0; // Combine multiple similarity algorithms const jaccardSim = this.calculateJaccardSimilarity(str1, str2); const cosineSim = this.calculateCosineSimilarity(str1, str2); const bigramSim = this.calculateSimilarity(str1, str2); // Original bigram similarity // Weighted combination return (jaccardSim * 0.3) + (cosineSim * 0.4) + (bigramSim * 0.3); } /** * Jaccard similarity for set-based comparison */ static calculateJaccardSimilarity(str1, str2) { const set1 = new Set(str1.toLowerCase().split(/\s+/)); const set2 = new Set(str2.toLowerCase().split(/\s+/)); const intersection = new Set([...set1].filter(x => set2.has(x))); const union = new Set([...set1, ...set2]); return intersection.size / union.size; } /** * Cosine similarity for vector-based comparison */ static calculateCosineSimilarity(str1, str2) { const words1 = str1.toLowerCase().split(/\s+/); const words2 = str2.toLowerCase().split(/\s+/); // Create word frequency vectors const allWords = [...new Set([...words1, ...words2])]; const vector1 = allWords.map(word => words1.filter(w => w === word).length); const vector2 = allWords.map(word => words2.filter(w => w === word).length); // Calculate cosine similarity const dotProduct = vector1.reduce((sum, val, i) => sum + val * vector2[i], 0); const magnitude1 = Math.sqrt(vector1.reduce((sum, val) => sum + val * val, 0)); const magnitude2 = Math.sqrt(vector2.reduce((sum, val) => sum + val * val, 0)); if (magnitude1 === 0 || magnitude2 === 0) return 0; return dotProduct / (magnitude1 * magnitude2); } /** * Levenshtein distance-based similarity */ static calculateLevenshteinSimilarity(str1, str2) { const distance = this.levenshteinDistance(str1, str2); const maxLength = Math.max(str1.length, str2.length); if (maxLength === 0) return 1; return 1 - (distance / maxLength); } /** * Calculate Levenshtein distance */ static levenshteinDistance(str1, str2) { const matrix = []; for (let i = 0; i <= str2.length; i++) { matrix[i] = [i]; } for (let j = 0; j <= str1.length; j++) { matrix[0][j] = j; } for (let i = 1; i <= str2.length; i++) { for (let j = 1; j <= str1.length; j++) { if (str2.charAt(i - 1) === str1.charAt(j - 1)) { matrix[i][j] = matrix[i - 1][j - 1]; } else { matrix[i][j] = Math.min( matrix[i - 1][j - 1] + 1, matrix[i][j - 1] + 1, matrix[i - 1][j] + 1 ); } } } return matrix[str2.length][str1.length]; } /** * Send WhatsApp message with improved account handling * @param {number} tenantId - Tenant ID * @param {number} accountId - Account ID (can be null) * @param {string} to - Recipient phone number * @param {string} message - Message text * @returns {Promise<boolean>} Success status */ static async sendMessage(tenantId, accountId, to, message) { try { let account; if (accountId) { // Get specific account const [accounts] = await pool.execute( 'SELECT * FROM whatsapp_cloud_accounts WHERE id = ? AND tenant_id = ?', [accountId, tenantId] ); if (accounts.length === 0) { throw new Error(`Account ${accountId} not found for tenant ${tenantId}`); } account = accounts[0]; } else { // Get default account for tenant const [accounts] = await pool.execute( 'SELECT * FROM whatsapp_cloud_accounts WHERE tenant_id = ? AND (is_default = TRUE OR is_default IS NULL) ORDER BY is_default DESC, id ASC LIMIT 1', [tenantId] ); if (accounts.length === 0) { throw new Error(`No WhatsApp Cloud account found for tenant ${tenantId}`); } account = accounts[0]; logger.debug('Using default account for FAQ', { tenantId, accountId: account.id, accountName: account.account_name }); } // Validate account has required fields if (!account.phone_number_id || !account.access_token) { throw new Error(`Account ${account.id} is missing phone_number_id or access_token`); } const normalizedTo = String(to || '').trim().replace(/[^\d]/g, ''); if (!normalizedTo) { throw new Error('Invalid destination phone number'); } // Send message via WhatsApp Cloud API const response = await axios.post( `https://graph.facebook.com/v18.0/${account.phone_number_id}/messages`, { messaging_product: 'whatsapp', to: normalizedTo, type: 'text', text: { body: message } }, { headers: { 'Authorization': `Bearer ${account.access_token}`, 'Content-Type': 'application/json' } } ); logger.info('FAQ message sent successfully', { tenantId, accountId: account.id, accountName: account.account_name, to, messageId: response.data.messages?.[0]?.id }); return true; } catch (error) { logger.error('Error sending FAQ message', { tenantId, accountId, to, error: error.message, response: error.response?.data }); return false; } } /** * Calculate similarity between two strings (simple implementation) * @param {string} str1 - First string * @param {string} str2 - Second string * @returns {number} Similarity score (0-1) */ static calculateSimilarity(str1, str2) { const s1 = str1.toLowerCase().trim(); const s2 = str2.toLowerCase().trim(); if (s1 === s2) return 1; if (s1.length < 2 || s2.length < 2) return 0; const firstBigrams = new Map(); for (let i = 0; i < s1.length - 1; i++) { const bigram = s1.substring(i, i + 2); const count = firstBigrams.has(bigram) ? firstBigrams.get(bigram) + 1 : 1; firstBigrams.set(bigram, count); } let intersectionSize = 0; for (let i = 0; i < s2.length - 1; i++) { const bigram = s2.substring(i, i + 2); const count = firstBigrams.has(bigram) ? firstBigrams.get(bigram) : 0; if (count > 0) { firstBigrams.set(bigram, count - 1); intersectionSize++; } } return (2.0 * intersectionSize) / (s1.length + s2.length - 2); } } module.exports = WhatsAppCloudFAQService; |