Initial commit: Brainy - Multi-Dimensional AI Database

Open source vector database with HNSW indexing, graph relationships,
and metadata facets. Features CLI with professional augmentation registry
integration for discovering extensions and capabilities.

dist/cortex/neuralImport.js

@@ -0,0 +1,618 @@
+/**
+ * Neural Import - Atomic Age AI-Powered Data Understanding System
+ *
+ * 🧠 Leveraging the brain-in-jar to understand and automatically structure data
+ * ⚛️ Complete with confidence scoring and relationship weight calculation
+ */
+import { NounType, VerbType } from '../types/graphTypes.js';
+import * as fs from '../universal/fs.js';
+import * as path from '../universal/path.js';
+// @ts-ignore
+import chalk from 'chalk';
+// @ts-ignore
+import ora from 'ora';
+// @ts-ignore
+import boxen from 'boxen';
+// @ts-ignore
+import Table from 'cli-table3';
+// @ts-ignore
+import prompts from 'prompts';
+/**
+ * Neural Import Engine - The Brain Behind the Analysis
+ */
+export class NeuralImport {
+    constructor(brainy) {
+        this.colors = {
+            primary: chalk.hex('#3A5F4A'),
+            success: chalk.hex('#2D4A3A'),
+            warning: chalk.hex('#D67441'),
+            error: chalk.hex('#B85C35'),
+            info: chalk.hex('#4A6B5A'),
+            dim: chalk.hex('#8A9B8A'),
+            highlight: chalk.hex('#E88B5A'),
+            accent: chalk.hex('#F5E6D3'),
+            brain: chalk.hex('#E88B5A')
+        };
+        this.emojis = {
+            brain: '🧠',
+            atom: '⚛️',
+            lab: '🔬',
+            data: '🎛️',
+            magic: '⚡',
+            check: '✅',
+            warning: '⚠️',
+            sparkle: '✨',
+            rocket: '🚀',
+            gear: '⚙️'
+        };
+        this.brainy = brainy;
+    }
+    /**
+     * Main Neural Import Function - The Master Controller
+     */
+    async neuralImport(filePath, options = {}) {
+        const opts = {
+            confidenceThreshold: 0.7,
+            autoApply: false,
+            enableWeights: true,
+            previewOnly: false,
+            validateOnly: false,
+            skipDuplicates: true,
+            ...options
+        };
+        console.log(boxen(`${this.emojis.brain} ${this.colors.brain('NEURAL IMPORT INITIATED')} ${this.emojis.atom}\n\n` +
+            `${this.colors.accent('◆')} ${this.colors.dim('Activating atomic age AI analysis')}\n` +
+            `${this.colors.accent('◆')} ${this.colors.dim('File:')} ${this.colors.highlight(filePath)}\n` +
+            `${this.colors.accent('◆')} ${this.colors.dim('Confidence Threshold:')} ${this.colors.highlight(opts.confidenceThreshold.toString())}`, { padding: 1, borderStyle: 'round', borderColor: '#E88B5A' }));
+        const spinner = ora(`${this.emojis.brain} Initializing neural analysis...`).start();
+        try {
+            // Phase 1: Data Parsing
+            spinner.text = `${this.emojis.lab} Parsing data structure...`;
+            const rawData = await this.parseFile(filePath);
+            // Phase 2: Neural Entity Detection
+            spinner.text = `${this.emojis.atom} Analyzing ${Object.keys(NounType).length} entity types...`;
+            const detectedEntities = await this.detectEntitiesWithNeuralAnalysis(rawData, opts);
+            // Phase 3: Neural Relationship Detection  
+            spinner.text = `${this.emojis.data} Testing ${Object.keys(VerbType).length} relationship patterns...`;
+            const detectedRelationships = await this.detectRelationshipsWithNeuralAnalysis(detectedEntities, rawData, opts);
+            // Phase 4: Neural Insights Generation
+            spinner.text = `${this.emojis.magic} Computing neural insights...`;
+            const insights = await this.generateNeuralInsights(detectedEntities, detectedRelationships);
+            // Phase 5: Confidence Scoring
+            const overallConfidence = this.calculateOverallConfidence(detectedEntities, detectedRelationships);
+            spinner.stop();
+            const result = {
+                detectedEntities,
+                detectedRelationships,
+                confidence: overallConfidence,
+                insights,
+                preview: await this.generatePreview(detectedEntities, detectedRelationships)
+            };
+            // Display results
+            await this.displayNeuralAnalysisResults(result, opts);
+            // Handle execution based on options
+            if (opts.previewOnly || opts.validateOnly) {
+                return result;
+            }
+            if (!opts.autoApply) {
+                const shouldExecute = await this.confirmNeuralImport(result);
+                if (!shouldExecute) {
+                    console.log(this.colors.dim('Neural import cancelled'));
+                    return result;
+                }
+            }
+            // Execute the import
+            await this.executeNeuralImport(result, opts);
+            return result;
+        }
+        catch (error) {
+            spinner.fail('Neural analysis failed');
+            throw error;
+        }
+    }
+    /**
+     * Parse file based on extension
+     */
+    async parseFile(filePath) {
+        const ext = path.extname(filePath).toLowerCase();
+        const content = await fs.readFile(filePath, 'utf8');
+        switch (ext) {
+            case '.json':
+                const jsonData = JSON.parse(content);
+                return Array.isArray(jsonData) ? jsonData : [jsonData];
+            case '.csv':
+                return this.parseCSV(content);
+            case '.yaml':
+            case '.yml':
+                // For now, basic YAML support - in full implementation would use yaml parser
+                return JSON.parse(content); // Placeholder
+            default:
+                throw new Error(`Unsupported file format: ${ext}`);
+        }
+    }
+    /**
+     * Basic CSV parser
+     */
+    parseCSV(content) {
+        const lines = content.split('\n').filter(line => line.trim());
+        if (lines.length < 2)
+            return [];
+        const headers = lines[0].split(',').map(h => h.trim().replace(/"/g, ''));
+        const data = [];
+        for (let i = 1; i < lines.length; i++) {
+            const values = lines[i].split(',').map(v => v.trim().replace(/"/g, ''));
+            const row = {};
+            headers.forEach((header, index) => {
+                row[header] = values[index] || '';
+            });
+            data.push(row);
+        }
+        return data;
+    }
+    /**
+     * Neural Entity Detection - The Core AI Engine
+     */
+    async detectEntitiesWithNeuralAnalysis(rawData, options) {
+        const entities = [];
+        const nounTypes = Object.values(NounType);
+        for (const [index, dataItem] of rawData.entries()) {
+            const mainText = this.extractMainText(dataItem);
+            const detections = [];
+            // Test against all noun types using semantic similarity
+            for (const nounType of nounTypes) {
+                const confidence = await this.calculateEntityTypeConfidence(mainText, dataItem, nounType);
+                if (confidence >= options.confidenceThreshold - 0.2) { // Allow slightly lower for alternatives
+                    const reasoning = await this.generateEntityReasoning(mainText, dataItem, nounType);
+                    detections.push({ type: nounType, confidence, reasoning });
+                }
+            }
+            if (detections.length > 0) {
+                // Sort by confidence
+                detections.sort((a, b) => b.confidence - a.confidence);
+                const primaryType = detections[0];
+                const alternatives = detections.slice(1, 3); // Top 2 alternatives
+                entities.push({
+                    originalData: dataItem,
+                    nounType: primaryType.type,
+                    confidence: primaryType.confidence,
+                    suggestedId: this.generateSmartId(dataItem, primaryType.type, index),
+                    reasoning: primaryType.reasoning,
+                    alternativeTypes: alternatives
+                });
+            }
+        }
+        return entities;
+    }
+    /**
+     * Calculate entity type confidence using AI
+     */
+    async calculateEntityTypeConfidence(text, data, nounType) {
+        // Base semantic similarity using search instead of similarity method
+        const searchResults = await this.brainy.search(text + ' ' + nounType, 1);
+        const textSimilarity = searchResults.length > 0 ? searchResults[0].score : 0.5;
+        // Field-based confidence boost
+        const fieldBoost = this.calculateFieldBasedConfidence(data, nounType);
+        // Pattern-based confidence boost  
+        const patternBoost = this.calculatePatternBasedConfidence(text, data, nounType);
+        // Combine confidences with weights
+        const combined = (textSimilarity * 0.5) + (fieldBoost * 0.3) + (patternBoost * 0.2);
+        return Math.min(combined, 1.0);
+    }
+    /**
+     * Field-based confidence calculation
+     */
+    calculateFieldBasedConfidence(data, nounType) {
+        const fields = Object.keys(data);
+        let boost = 0;
+        // Field patterns that boost confidence for specific noun types
+        const fieldPatterns = {
+            [NounType.Person]: ['name', 'email', 'phone', 'age', 'firstname', 'lastname', 'employee'],
+            [NounType.Organization]: ['company', 'organization', 'corp', 'inc', 'ltd', 'department', 'team'],
+            [NounType.Project]: ['project', 'task', 'deadline', 'status', 'milestone', 'deliverable'],
+            [NounType.Location]: ['address', 'city', 'country', 'state', 'zip', 'location', 'coordinates'],
+            [NounType.Product]: ['product', 'price', 'sku', 'inventory', 'category', 'brand'],
+            [NounType.Event]: ['date', 'time', 'venue', 'event', 'meeting', 'conference', 'schedule']
+        };
+        const relevantPatterns = fieldPatterns[nounType] || [];
+        for (const field of fields) {
+            for (const pattern of relevantPatterns) {
+                if (field.toLowerCase().includes(pattern)) {
+                    boost += 0.1;
+                }
+            }
+        }
+        return Math.min(boost, 0.5);
+    }
+    /**
+     * Pattern-based confidence calculation
+     */
+    calculatePatternBasedConfidence(text, data, nounType) {
+        let boost = 0;
+        // Content patterns that indicate entity types
+        const patterns = {
+            [NounType.Person]: [
+                /@.*\.com/i, // Email pattern
+                /\b[A-Z][a-z]+ [A-Z][a-z]+\b/, // Name pattern
+                /Mr\.|Mrs\.|Dr\.|Prof\./i // Title pattern
+            ],
+            [NounType.Organization]: [
+                /\bInc\.|Corp\.|LLC\.|Ltd\./i, // Corporate suffixes
+                /Company|Corporation|Enterprise/i
+            ],
+            [NounType.Location]: [
+                /\b\d{5}(-\d{4})?\b/, // ZIP code
+                /Street|Ave|Road|Blvd/i
+            ]
+        };
+        const relevantPatterns = patterns[nounType] || [];
+        for (const pattern of relevantPatterns) {
+            if (pattern.test(text)) {
+                boost += 0.15;
+            }
+        }
+        return Math.min(boost, 0.3);
+    }
+    /**
+     * Generate reasoning for entity type selection
+     */
+    async generateEntityReasoning(text, data, nounType) {
+        const reasons = [];
+        // Semantic similarity reason using search
+        const searchResults = await this.brainy.search(text + ' ' + nounType, 1);
+        const similarity = searchResults.length > 0 ? searchResults[0].score : 0.5;
+        if (similarity > 0.7) {
+            reasons.push(`High semantic similarity (${(similarity * 100).toFixed(1)}%)`);
+        }
+        // Field-based reasons
+        const relevantFields = this.getRelevantFields(data, nounType);
+        if (relevantFields.length > 0) {
+            reasons.push(`Contains ${nounType}-specific fields: ${relevantFields.join(', ')}`);
+        }
+        // Pattern-based reasons
+        const matchedPatterns = this.getMatchedPatterns(text, data, nounType);
+        if (matchedPatterns.length > 0) {
+            reasons.push(`Matches ${nounType} patterns: ${matchedPatterns.join(', ')}`);
+        }
+        return reasons.length > 0 ? reasons.join('; ') : 'General semantic match';
+    }
+    /**
+     * Neural Relationship Detection
+     */
+    async detectRelationshipsWithNeuralAnalysis(entities, rawData, options) {
+        const relationships = [];
+        const verbTypes = Object.values(VerbType);
+        // For each pair of entities, test relationship possibilities
+        for (let i = 0; i < entities.length; i++) {
+            for (let j = i + 1; j < entities.length; j++) {
+                const sourceEntity = entities[i];
+                const targetEntity = entities[j];
+                // Extract context for relationship detection
+                const context = this.extractRelationshipContext(sourceEntity.originalData, targetEntity.originalData, rawData);
+                // Test all verb types
+                for (const verbType of verbTypes) {
+                    const confidence = await this.calculateRelationshipConfidence(sourceEntity, targetEntity, verbType, context);
+                    if (confidence >= options.confidenceThreshold - 0.1) { // Slightly lower threshold for relationships
+                        const weight = options.enableWeights ?
+                            this.calculateRelationshipWeight(sourceEntity, targetEntity, verbType, context) :
+                            0.5;
+                        const reasoning = await this.generateRelationshipReasoning(sourceEntity, targetEntity, verbType, context);
+                        relationships.push({
+                            sourceId: sourceEntity.suggestedId,
+                            targetId: targetEntity.suggestedId,
+                            verbType,
+                            confidence,
+                            weight,
+                            reasoning,
+                            context,
+                            metadata: this.extractRelationshipMetadata(sourceEntity.originalData, targetEntity.originalData, verbType)
+                        });
+                    }
+                }
+            }
+        }
+        // Sort by confidence and remove duplicates/conflicts
+        return this.pruneRelationships(relationships);
+    }
+    /**
+     * Calculate relationship confidence
+     */
+    async calculateRelationshipConfidence(source, target, verbType, context) {
+        // Semantic similarity between entities and verb type using search
+        const relationshipText = `${this.extractMainText(source.originalData)} ${verbType} ${this.extractMainText(target.originalData)}`;
+        const directResults = await this.brainy.search(relationshipText, 1);
+        const directSimilarity = directResults.length > 0 ? directResults[0].score : 0.5;
+        // Context-based similarity using search
+        const contextResults = await this.brainy.search(context + ' ' + verbType, 1);
+        const contextSimilarity = contextResults.length > 0 ? contextResults[0].score : 0.5;
+        // Entity type compatibility
+        const typeCompatibility = this.calculateTypeCompatibility(source.nounType, target.nounType, verbType);
+        // Combine with weights
+        return (directSimilarity * 0.4) + (contextSimilarity * 0.4) + (typeCompatibility * 0.2);
+    }
+    /**
+     * Calculate relationship weight/strength
+     */
+    calculateRelationshipWeight(source, target, verbType, context) {
+        let weight = 0.5; // Base weight
+        // Context richness (more descriptive = stronger)
+        const contextWords = context.split(' ').length;
+        weight += Math.min(contextWords / 20, 0.2);
+        // Entity importance (higher confidence entities = stronger relationships)
+        const avgEntityConfidence = (source.confidence + target.confidence) / 2;
+        weight += avgEntityConfidence * 0.2;
+        // Verb type specificity (more specific verbs = stronger)
+        const verbSpecificity = this.getVerbSpecificity(verbType);
+        weight += verbSpecificity * 0.1;
+        return Math.min(weight, 1.0);
+    }
+    /**
+     * Generate Neural Insights - The Intelligence Layer
+     */
+    async generateNeuralInsights(entities, relationships) {
+        const insights = [];
+        // Detect hierarchies
+        const hierarchies = this.detectHierarchies(relationships);
+        hierarchies.forEach(hierarchy => {
+            insights.push({
+                type: 'hierarchy',
+                description: `Detected ${hierarchy.type} hierarchy with ${hierarchy.levels} levels`,
+                confidence: hierarchy.confidence,
+                affectedEntities: hierarchy.entities,
+                recommendation: `Consider visualizing the ${hierarchy.type} structure`
+            });
+        });
+        // Detect clusters  
+        const clusters = this.detectClusters(entities, relationships);
+        clusters.forEach(cluster => {
+            insights.push({
+                type: 'cluster',
+                description: `Found cluster of ${cluster.size} ${cluster.primaryType} entities`,
+                confidence: cluster.confidence,
+                affectedEntities: cluster.entities,
+                recommendation: `These ${cluster.primaryType}s might form a natural grouping`
+            });
+        });
+        // Detect patterns
+        const patterns = this.detectPatterns(relationships);
+        patterns.forEach(pattern => {
+            insights.push({
+                type: 'pattern',
+                description: `Common relationship pattern: ${pattern.description}`,
+                confidence: pattern.confidence,
+                affectedEntities: pattern.entities,
+                recommendation: pattern.recommendation
+            });
+        });
+        return insights;
+    }
+    /**
+     * Display Neural Analysis Results
+     */
+    async displayNeuralAnalysisResults(result, options) {
+        // Entity summary
+        const entityTable = new Table({
+            head: [this.colors.brain('Entity Type'), this.colors.brain('Count'), this.colors.brain('Avg Confidence')],
+            colWidths: [20, 10, 15]
+        });
+        const entitySummary = this.summarizeEntities(result.detectedEntities);
+        Object.entries(entitySummary).forEach(([type, stats]) => {
+            entityTable.push([
+                this.colors.highlight(type),
+                this.colors.primary(stats.count.toString()),
+                this.colors.success(`${(stats.avgConfidence * 100).toFixed(1)}%`)
+            ]);
+        });
+        // Relationship summary
+        const relationshipTable = new Table({
+            head: [this.colors.brain('Relationship Type'), this.colors.brain('Count'), this.colors.brain('Avg Weight'), this.colors.brain('Avg Confidence')],
+            colWidths: [20, 10, 12, 15]
+        });
+        const relationshipSummary = this.summarizeRelationships(result.detectedRelationships);
+        Object.entries(relationshipSummary).forEach(([type, stats]) => {
+            relationshipTable.push([
+                this.colors.highlight(type),
+                this.colors.primary(stats.count.toString()),
+                this.colors.warning(`${stats.avgWeight.toFixed(2)}`),
+                this.colors.success(`${(stats.avgConfidence * 100).toFixed(1)}%`)
+            ]);
+        });
+        console.log(boxen(`${this.emojis.atom} ${this.colors.brain('NEURAL CLASSIFICATION RESULTS')}\n\n` +
+            entityTable.toString(), { padding: 1, borderStyle: 'round', borderColor: '#D67441' }));
+        console.log(boxen(`${this.emojis.data} ${this.colors.brain('NEURAL RELATIONSHIP MAPPING')}\n\n` +
+            relationshipTable.toString(), { padding: 1, borderStyle: 'round', borderColor: '#D67441' }));
+        // Display insights
+        if (result.insights.length > 0) {
+            const insightsText = result.insights.map(insight => `${this.colors.accent('◆')} ${insight.description} (${(insight.confidence * 100).toFixed(1)}% confidence)`).join('\n');
+            console.log(boxen(`${this.emojis.magic} ${this.colors.brain('NEURAL INSIGHTS')}\n\n` +
+                insightsText, { padding: 1, borderStyle: 'round', borderColor: '#E88B5A' }));
+        }
+    }
+    /**
+     * Helper methods for the neural system
+     */
+    extractMainText(data) {
+        // Extract the most relevant text from a data object
+        const textFields = ['name', 'title', 'description', 'content', 'text', 'label'];
+        for (const field of textFields) {
+            if (data[field] && typeof data[field] === 'string') {
+                return data[field];
+            }
+        }
+        // Fallback: concatenate all string values
+        return Object.values(data)
+            .filter(v => typeof v === 'string')
+            .join(' ')
+            .substring(0, 200); // Limit length
+    }
+    generateSmartId(data, nounType, index) {
+        const mainText = this.extractMainText(data);
+        const cleanText = mainText.toLowerCase().replace(/[^a-z0-9]/g, '_').substring(0, 20);
+        return `${nounType}_${cleanText}_${index}`;
+    }
+    extractRelationshipContext(source, target, allData) {
+        // Extract context for relationship detection
+        return [
+            this.extractMainText(source),
+            this.extractMainText(target),
+            // Add more contextual information
+        ].join(' ');
+    }
+    calculateTypeCompatibility(sourceType, targetType, verbType) {
+        // Define type compatibility matrix for relationships
+        const compatibilityMatrix = {
+            [NounType.Person]: {
+                [NounType.Organization]: [VerbType.MemberOf, VerbType.WorksWith],
+                [NounType.Project]: [VerbType.WorksWith, VerbType.Creates],
+                [NounType.Person]: [VerbType.WorksWith, VerbType.Mentors, VerbType.ReportsTo]
+            }
+            // Add more compatibility rules
+        };
+        const sourceCompatibility = compatibilityMatrix[sourceType];
+        if (sourceCompatibility && sourceCompatibility[targetType]) {
+            return sourceCompatibility[targetType].includes(verbType) ? 1.0 : 0.3;
+        }
+        return 0.5; // Default compatibility
+    }
+    getVerbSpecificity(verbType) {
+        // More specific verbs get higher scores
+        const specificityScores = {
+            [VerbType.RelatedTo]: 0.1, // Very generic
+            [VerbType.WorksWith]: 0.7, // Specific
+            [VerbType.Mentors]: 0.9, // Very specific
+            [VerbType.ReportsTo]: 0.9, // Very specific
+            [VerbType.Supervises]: 0.9 // Very specific
+        };
+        return specificityScores[verbType] || 0.5;
+    }
+    getRelevantFields(data, nounType) {
+        // Implementation for finding relevant fields
+        return [];
+    }
+    getMatchedPatterns(text, data, nounType) {
+        // Implementation for finding matched patterns
+        return [];
+    }
+    pruneRelationships(relationships) {
+        // Remove duplicates and low-confidence relationships
+        return relationships
+            .sort((a, b) => b.confidence - a.confidence)
+            .slice(0, 1000); // Limit to top 1000 relationships
+    }
+    detectHierarchies(relationships) {
+        // Detect hierarchical structures
+        return [];
+    }
+    detectClusters(entities, relationships) {
+        // Detect entity clusters
+        return [];
+    }
+    detectPatterns(relationships) {
+        // Detect relationship patterns
+        return [];
+    }
+    summarizeEntities(entities) {
+        const summary = {};
+        entities.forEach(entity => {
+            if (!summary[entity.nounType]) {
+                summary[entity.nounType] = { count: 0, totalConfidence: 0 };
+            }
+            summary[entity.nounType].count++;
+            summary[entity.nounType].totalConfidence += entity.confidence;
+        });
+        Object.keys(summary).forEach(type => {
+            summary[type].avgConfidence = summary[type].totalConfidence / summary[type].count;
+        });
+        return summary;
+    }
+    summarizeRelationships(relationships) {
+        const summary = {};
+        relationships.forEach(rel => {
+            if (!summary[rel.verbType]) {
+                summary[rel.verbType] = { count: 0, totalWeight: 0, totalConfidence: 0 };
+            }
+            summary[rel.verbType].count++;
+            summary[rel.verbType].totalWeight += rel.weight;
+            summary[rel.verbType].totalConfidence += rel.confidence;
+        });
+        Object.keys(summary).forEach(type => {
+            const stats = summary[type];
+            stats.avgWeight = stats.totalWeight / stats.count;
+            stats.avgConfidence = stats.totalConfidence / stats.count;
+        });
+        return summary;
+    }
+    calculateOverallConfidence(entities, relationships) {
+        const entityConfidence = entities.reduce((sum, e) => sum + e.confidence, 0) / entities.length;
+        const relationshipConfidence = relationships.reduce((sum, r) => sum + r.confidence, 0) / relationships.length;
+        return (entityConfidence + relationshipConfidence) / 2;
+    }
+    async generatePreview(entities, relationships) {
+        return entities.slice(0, 5).map(entity => ({
+            id: entity.suggestedId,
+            nounType: entity.nounType,
+            data: entity.originalData,
+            relationships: relationships
+                .filter(r => r.sourceId === entity.suggestedId)
+                .slice(0, 3)
+                .map(r => ({
+                target: r.targetId,
+                verbType: r.verbType,
+                weight: r.weight,
+                confidence: r.confidence
+            }))
+        }));
+    }
+    async confirmNeuralImport(result) {
+        const { confirm } = await prompts({
+            type: 'confirm',
+            name: 'confirm',
+            message: `${this.emojis.rocket} Execute neural import?`,
+            initial: true
+        });
+        return confirm;
+    }
+    async executeNeuralImport(result, options) {
+        const spinner = ora(`${this.emojis.gear} Executing neural import...`).start();
+        try {
+            // Add entities to Brainy
+            for (const entity of result.detectedEntities) {
+                await this.brainy.add(this.extractMainText(entity.originalData), {
+                    ...entity.originalData,
+                    nounType: entity.nounType,
+                    confidence: entity.confidence,
+                    id: entity.suggestedId
+                });
+            }
+            // Add relationships to Brainy
+            for (const relationship of result.detectedRelationships) {
+                await this.brainy.addVerb(relationship.sourceId, relationship.targetId, relationship.verbType, {
+                    weight: relationship.weight,
+                    metadata: {
+                        confidence: relationship.confidence,
+                        context: relationship.context,
+                        ...relationship.metadata
+                    }
+                });
+            }
+            spinner.succeed(this.colors.success(`${this.emojis.check} Neural import complete! ` +
+                `${result.detectedEntities.length} entities and ` +
+                `${result.detectedRelationships.length} relationships imported.`));
+        }
+        catch (error) {
+            spinner.fail('Neural import failed');
+            throw error;
+        }
+    }
+    async generateRelationshipReasoning(source, target, verbType, context) {
+        return `Neural analysis detected ${verbType} relationship based on semantic context`;
+    }
+    extractRelationshipMetadata(sourceData, targetData, verbType) {
+        return {
+            sourceType: typeof sourceData,
+            targetType: typeof targetData,
+            detectedBy: 'neural-import',
+            timestamp: new Date().toISOString()
+        };
+    }
+}
+//# sourceMappingURL=neuralImport.js.map